@article {pmid39701966,
year = {2024},
author = {Oskolkov, N and Sandionigi, A and Götherström, A and Canini, F and Turchetti, B and Zucconi, L and Mimmo, T and Buzzini, P and Borruso, L},
title = {Unraveling the ancient fungal DNA from the Iceman gut.},
journal = {BMC genomics},
volume = {25},
number = {1},
pages = {1225},
pmid = {39701966},
issn = {1471-2164},
mesh = {*DNA, Ancient/analysis ; Humans ; *DNA, Fungal/genetics ; Metagenomics/methods ; Gastrointestinal Microbiome/genetics ; Gastrointestinal Tract/microbiology ; Mummies/microbiology ; Computational Biology/methods ; Fungi/genetics/classification ; },
abstract = {BACKGROUND: Fungal DNA is rarely reported in metagenomic studies of ancient samples. Although fungi are essential for their interactions with all kingdoms of life, limited information is available about ancient fungi. Here, we explore the possibility of the presence of ancient fungal species in the gut of Ötzi, the Iceman, a naturally mummified human found in the Tyrolean Alps (border between Italy and Austria).

METHODS: A robust bioinformatic pipeline has been developed to detect and authenticate fungal ancient DNA (aDNA) from muscle, stomach, small intestine, and large intestine samples.

RESULTS: We revealed the presence of ancient DNA associated with Pseudogymnoascus genus, with P. destructans and P. verrucosus as possible species, which were abundant in the stomach and small intestine and absent in the large intestine and muscle samples.

CONCLUSION: We suggest that Ötzi may have consumed these fungi accidentally, likely in association with other elements of his diet, and they persisted in his gut after his death due to their adaptability to harsh and cold environments. This suggests the potential co-occurrence of ancient humans with opportunistic fungal species and proposes and validates a conservative bioinformatic approach for detecting and authenticating fungal aDNA in historical metagenomic samples.},
}

*DNA, Ancient/analysis
Humans
*DNA, Fungal/genetics
Metagenomics/methods
Gastrointestinal Microbiome/genetics
Gastrointestinal Tract/microbiology
Mummies/microbiology
Computational Biology/methods
Fungi/genetics/classification

@article {pmid39700981,
year = {2024},
author = {Wong, SY and Machado-de-Lima, NM and Wilkins, D and Zhang, E and Ferrari, BC},
title = {Fine-scale landscape heterogeneity drives microbial community structure at Robinson Ridge, East Antarctica.},
journal = {The Science of the total environment},
volume = {958},
number = {},
pages = {177964},
doi = {10.1016/j.scitotenv.2024.177964},
pmid = {39700981},
issn = {1879-1026},
abstract = {Life at Robinson Ridge, located in the Windmill Islands region of East Antarctica, is susceptible to a changing climate. At this site, responses of the vegetation communities and moss-beds have been well researched, but corresponding information for microbial counterparts is still lacking. To bridge this knowledge gap, we established baseline data for monitoring the environmental drivers shaping the soil microbial community on the local 'hillslope' scale. Using triplicate 300-m long transects encompassing a hillslope with wind-exposed arid soils near the top, and snowmelt-sustained-moss beds at the bottom, we assessed the fine-scale heterogeneity of the soil environmental and microbial properties. Moist, low-lying, and vegetated soils exhibited higher soil fertility and unique biodiversity, with taxa adapted to thrive in moist conditions (i.e., Tardigrada, Phragmoplastophyta, Chloroflexi) and those that have previously demonstrated strong specificity for moss species (i.e., Fibrobacterota, Mucoromycota and Cyanobacteria) dominating. In contrast, elevated soils with limited moisture and nutrients were dominated by metabolically diverse phyla like Actinobacteriota and Ascomycota. Significant differences in microbial communities were observed at both hillslope (50-300 m) and fine spatial scales, as small as 0.1 m. Vertical heterogeneity was observed with higher abundances of Cyanobacteria and micro-algae in surfaces compared to subsoil, potentially indicating early biocrust formation. Stochastic and deterministic processes governing phylogenetic assembly were linked to soil positional groups and microbial domains rather than soil depth. Gradient Forest modeling identified critical environmental thresholds, such as ammonia, manganese, and sulphur, responsible for drastic community changes following level alterations. This reinforces the existence of strong niche preferences and distinct distribution patterns within the local microbial communities. This study highlights the need for finer-scale investigations considering site topography to better understand the relationship between environmental drivers and local microbiota. Ultimately, these insights enable us to understand environmental drivers and predict Antarctic ecosystem responses, helping safeguard this fragile environment.},
}

@article {pmid39700412,
year = {2024},
author = {Duan, HN and Hearne, G and Polikar, R and Rosen, GL},
title = {The Naïve Bayes Classifier ++ for Metagenomic Taxonomic Classification-Query Evaluation.},
journal = {Bioinformatics (Oxford, England)},
volume = {},
number = {},
pages = {},
doi = {10.1093/bioinformatics/btae743},
pmid = {39700412},
issn = {1367-4811},
abstract = {MOTIVATION: This study examines the query performance of the NBC ++ (Incremental Naive Bayes Classifier) program for variations in canonicality, k-mer size, databases, and input sample data size. We demonstrate that both NBC ++ and Kraken2 are influenced by database depth, with macro measures improving as depth increases. However, fully capturing the diversity of life, especially viruses, remains a challenge.

RESULTS: NBC ++ can competitively profile the superkingdom content of metagenomic samples using a small training database. NBC ++ spends less time training and can use a fraction of the memory than Kraken2 but at the cost of long querying time. Major NBC ++ enhancements include accommodating canonical k-mer storage (leading to significant storage savings) and adaptable and optimized memory allocation that accelerates query analysis and enables the software to be run on nearly any system. Additionally, the output now includes log-likelihood values for each training genome, providing users with valuable confidence information.

AVAILABILITY: Source code and Dockerfile are available at http://github.com/EESI/Naive_Bayes.

SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online, and databases are available at Zenodo records #11657719 and #11643985.},
}

@article {pmid39695923,
year = {2024},
author = {Zhang, Z and Li, Q and Li, H and Wei, S and Yu, W and Peng, Z and Wei, F and Zhou, W},
title = {Integrative multi-omics analysis reveals the contribution of neoVTX genes to venom diversity of Synanceia verrucosa.},
journal = {BMC genomics},
volume = {25},
number = {1},
pages = {1210},
pmid = {39695923},
issn = {1471-2164},
support = {2023YFF1304900//Ministry of Science and Technology of the People's Republic of China/ ; 2024A1515013196//Science and Technology Department of Guangdong Province/ ; SLYJ2023B4004//Guangdong Forestry Administration/ ; GML2020GD0804//PI Project of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)/ ; GML2022GD0804//PI Project of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)/ ; 32222014//National Natural Science Foundation of China/ ; 2021YFF0502804//Ministry of Science and Technology of China/ ; },
mesh = {Animals ; *Transcriptome ; Fish Venoms/genetics/chemistry ; Genomics/methods ; Proteomics ; Proteome ; Alternative Splicing ; Fishes/genetics ; Phylogeny ; Gene Expression Profiling ; Multiomics ; },
abstract = {BACKGROUND: Animal venom systems are considered as valuable model for investigating the molecular mechanisms underlying phenotypic evolution. Stonefish are the most venomous and dangerous fish because of severe human envenomation and occasionally fatalities, whereas the genomic background of their venom has not been fully explored compared with that in other venomous animals.

RESULTS: In this study, we followed modern venomic pipelines to decode the Synanceia verrucosa venom components. A catalog of 478 toxin genes was annotated based on our assembled chromosome-level genome. Integrative analysis of the high-quality genome, the transcriptome of the venom gland, and the proteome of crude venom revealed mechanisms underlying the venom complexity in S. verrucosa. Six tandem-duplicated neoVTX subunit genes were identified as the major source for the neoVTX protein production. Further isoform sequencing revealed massive alternative splicing events with a total of 411 isoforms demonstrated by the six genes, which further contributed to the venom diversity. We then characterized 12 dominantly expressed toxin genes in the venom gland, and 11 of which were evidenced to produce the venom protein components, with the neoVTX proteins as the most abundant. Other major venom proteins included a presumed CRVP, Kuntiz-type serine protease inhibitor, calglandulin protein, and hyaluronidase. Besides, a few of highly abundant non-toxin proteins were also characterized and they were hypothesized to function in housekeeping or hemostasis maintaining roles in the venom gland. Notably, gastrotropin like non-toxin proteins were the second highest abundant proteins in the venom, which have not been reported in other venomous animals and contribute to the unique venom properties of S. verrucosa.

CONCLUSIONS: The results identified the major venom composition of S. verrucosa, and highlighted the contribution of neoVTX genes to the diversity of venom composition through tandem-duplication and alternative splicing. The diverse neoVTX proteins in the venom as lethal particles are important for understanding the adaptive evolution of S. verrucosa. Further functional studies are encouraged to exploit the venom components of S. verrucosa for pharmaceutical innovation.},
}

Animals
*Transcriptome
Fish Venoms/genetics/chemistry
Genomics/methods
Proteomics
Proteome
Alternative Splicing
Fishes/genetics
Phylogeny
Gene Expression Profiling
Multiomics

@article {pmid39695260,
year = {2024},
author = {Ma, X and Zheng, G and Xu, C and Moskal, LM and Gong, P and Guo, Q and Huang, H and Li, X and Liang, X and Pang, Y and Wang, C and Xie, H and Yu, B and Zhao, B and Zhou, Y},
title = {A global product of 150-m urban building height based on spaceborne lidar.},
journal = {Scientific data},
volume = {11},
number = {1},
pages = {1387},
pmid = {39695260},
issn = {2052-4463},
support = {42171340//National Natural Science Foundation of China (National Science Foundation of China)/ ; },
abstract = {Urban building height, as a fundamental 3D urban structural feature, has far-reaching applications. However, creating readily available datasets of recent urban building heights with fine spatial resolutions and global coverage remains a challenging task. Here, we provide a 150-m global urban building heights dataset around 2020 by combining the spaceborne lidar (Global Ecosystem Dynamics Investigation, GEDI), multi-sourced data (Landsat-8, Sentinel-2, and Sentinel-1), and topographic data. The validation results revealed that the GEDI-estimated building height samples were effective compared to the reference data (Pearson's r = 0.81, RMSE = 3.58 m). The mapping product also demonstrated good performance, as indicated by its strong correlation with the reference data (Pearson's r = 0.71, RMSE = 4.73 m). Compared with the currently existing datasets, it holds the ability to provide a spatial resolution (150 m) with a great level of inherent details about the spatial heterogeneity and flexibility of updating using the GEDI samples as inputs. This product will boost future urban studies across many fields, including environmental, ecological, and social sciences.},
}

@article {pmid39656857,
year = {2024},
author = {Alvarado, M and Gómez-Navajas, JA and Blázquez-Muñoz, MT and Gómez-Molero, E and Fernández-Sánchez, S and Eraso, E and Munro, CA and Valentín, E and Mateo, E and de Groot, PWJ},
title = {The good, the bad, and the hazardous: comparative genomic analysis unveils cell wall features in the pathogen Candidozyma auris typical for both baker's yeast and Candida.},
journal = {FEMS yeast research},
volume = {24},
number = {},
pages = {},
doi = {10.1093/femsyr/foae039},
pmid = {39656857},
issn = {1567-1364},
support = {PID2020-117983RB-I00//Agencia Estatal de Investigación/ ; SBPLY/23/180225/000029//UCLM/ ; //European Regional Development Fund/ ; JDC2023-051226-I//European Social Fund Plus/ ; },
mesh = {*Cell Wall/metabolism ; *Saccharomyces cerevisiae/genetics/metabolism ; Computational Biology ; Genomics ; Candida auris/genetics/metabolism/drug effects ; beta-Glucans/metabolism ; Genome, Fungal ; Fungal Proteins/genetics/metabolism ; Glycosylphosphatidylinositols/metabolism/genetics ; Candida albicans/genetics/pathogenicity ; Candida/genetics/metabolism/pathogenicity ; },
abstract = {The drug-resistant pathogenic yeast Candidozyma auris (formerly named Candida auris) is considered a critical health problem of global importance. As the cell wall plays a crucial role in pathobiology, here we performed a detailed bioinformatic analysis of its biosynthesis in C. auris and related Candidozyma haemuli complex species using Candida albicans and Saccharomyces cerevisiae as references. Our data indicate that the cell wall architecture described for these reference yeasts is largely conserved in Candidozyma spp.; however, expansions or reductions in gene families point to subtle alterations, particularly with respect to β--1,3--glucan synthesis and remodeling, phosphomannosylation, β-mannosylation, and glycosylphosphatidylinositol (GPI) proteins. In several aspects, C. auris holds a position in between C. albicans and S. cerevisiae, consistent with being classified in a separate genus. Strikingly, among the identified putative GPI proteins in C. auris are adhesins typical for both Candida (Als and Hyr/Iff) and Saccharomyces (Flo11 and Flo5-like flocculins). Further, 26 putative C. auris GPI proteins lack homologs in Candida genus species. Phenotypic analysis of one such gene, QG37_05701, showed mild phenotypes implicating a role associated with cell wall β-1,3-glucan. Altogether, our study uncovered a wealth of information relevant for the pathogenicity of C. auris as well as targets for follow-up studies.},
}

*Cell Wall/metabolism
*Saccharomyces cerevisiae/genetics/metabolism
Computational Biology
Genomics
Candida auris/genetics/metabolism/drug effects
beta-Glucans/metabolism
Genome, Fungal
Fungal Proteins/genetics/metabolism
Glycosylphosphatidylinositols/metabolism/genetics
Candida albicans/genetics/pathogenicity
Candida/genetics/metabolism/pathogenicity

@article {pmid39694720,
year = {2024},
author = {Reynolds, SA and Beery, S and Burgess, N and Burgman, M and Butchart, SHM and Cooke, SJ and Coomes, D and Danielsen, F and Di Minin, E and Durán, AP and Gassert, F and Hinsley, A and Jaffer, S and Jones, JPG and Li, BV and Mac Aodha, O and Madhavapeddy, A and O'Donnell, SAL and Oxbury, WM and Peck, L and Pettorelli, N and Rodríguez, JP and Shuckburgh, E and Strassburg, B and Yamashita, H and Miao, Z and Sutherland, WJ},
title = {The potential for AI to revolutionize conservation: a horizon scan.},
journal = {Trends in ecology & evolution},
volume = {},
number = {},
pages = {},
doi = {10.1016/j.tree.2024.11.013},
pmid = {39694720},
issn = {1872-8383},
abstract = {Artificial Intelligence (AI) is an emerging tool that could be leveraged to identify the effective conservation solutions demanded by the urgent biodiversity crisis. We present the results of our horizon scan of AI applications likely to significantly benefit biological conservation. An international panel of conservation scientists and AI experts identified 21 key ideas. These included species recognition to uncover 'dark diversity', multimodal models to improve biodiversity loss predictions, monitoring wildlife trade, and addressing human-wildlife conflict. We consider the potential negative impacts of AI adoption, such as AI colonialism and loss of essential conservation skills, and suggest how the conservation field might adapt to harness the benefits of AI while mitigating its risks.},
}

@article {pmid39692459,
year = {2024},
author = {Shitindo, M},
title = {Interactions between wild pigs and the spread of disease.},
journal = {eLife},
volume = {13},
number = {},
pages = {},
doi = {10.7554/eLife.105293},
pmid = {39692459},
issn = {2050-084X},
mesh = {Animals ; *Animals, Wild ; Swine ; Swine Diseases ; Geographic Information Systems ; Humans ; },
abstract = {Tracking wild pigs with GPS devices reveals how their social interactions could influence the spread of disease, offering new strategies for protecting agriculture, wildlife, and human health.},
}

Animals
*Animals, Wild
Swine
Swine Diseases
Geographic Information Systems
Humans

@article {pmid39691468,
year = {2024},
author = {Winders, S and Yoo, L and Heitkemper, M and Kamp, K},
title = {Multilevel Factors and Sleep in Adults With Inflammatory Bowel Disease: A Qualitative Study.},
journal = {Crohn's & colitis 360},
volume = {6},
number = {4},
pages = {otae075},
doi = {10.1093/crocol/otae075},
pmid = {39691468},
issn = {2631-827X},
abstract = {BACKGROUND: This study aimed to describe the patient-reported factors that impact sleep among individuals with inflammatory bowel disease (IBD), aligning with the Social Ecological Model of Sleep. This addresses the gap in IBD sleep research, which predominantly focuses on individual-level factors and their impact on sleep.

METHODS: Adults (ages 18-65) with IBD were recruited online through ResearchMatch in June 2023. Participants filled out survey questions on their demographic characteristics, health history, sleep, and IBD-related symptoms. Content analysis was conducted on 2 open-ended questions about factors that impacted their sleep.

RESULTS: This analysis included 163 adults with IBD (M = 39 years of age, 76.7% White, 91.4% non-Hispanic or Latino, 66.9% female, and 83.4% active IBD) who answered open-ended questions with comments about their sleep. Most participants indicated an individual-level factor impacted their sleep quality (85.3%, n = 139), categorized into 5 subthemes: Mental health, health, behavior and choices, physiology, and attitudes. Additionally, participants (43.6%, n = 71) mentioned social-level factors divided into 7 subthemes: Family, work, home, neighborhood, social network, and school. A smaller group of participants (17.2%, n = 28) mentioned societal-level factors designated into 4 subthemes: Natural environment and geography, technology, 24/7 society, and economics.

CONCLUSIONS: This study highlights the need for tailored sleep interventions for those with IBD that consider not only disease activity but also mental health, family, work, and the natural environment. IBD clinics should prioritize sleep health using an interdisciplinary approach to holistically address the unique needs of those with IBD.},
}

@article {pmid39689854,
year = {2024},
author = {Radice, VZ and Hernández-Agreda, A and Pérez-Rosales, G and Booker, R and Bellworthy, J and Broadribb, M and Carpenter, GE and Diaz, C and Eckert, RJ and Foster, NL and Gijsbers, JC and Gress, E and Laverick, JH and Micaroni, V and Pierotti, M and Rouzé, H and Stevenson, A and Sturm, AB and Bongaerts, P},
title = {Recent trends and biases in mesophotic ecosystem research.},
journal = {Biology letters},
volume = {20},
number = {12},
pages = {20240465},
doi = {10.1098/rsbl.2024.0465},
pmid = {39689854},
issn = {1744-957X},
mesh = {*Ecosystem ; Animals ; Oceans and Seas ; Research/trends ; Anthozoa/physiology ; Bias ; Databases, Factual ; },
abstract = {Mesophotic ecosystems (approx. 30-150 m) represent a significant proportion of the world's oceans yet have long remained understudied due to challenges in accessing these deeper depths. Owing to advances in underwater technologies and a growing scientific and management interest, there has been a major expansion in research of both (sub)tropical mesophotic coral ecosystems and temperate mesophotic ecosystems. Here, we characterize the recent global trends in mesophotic research through an updated release of the 'mesophotic.org' database (www.mesophotic.org) where we reviewed and catalogued 1500 scientific publications. In doing so, we shed light on four major research biases: a gross imbalance in (a) the geographical spread of research efforts, differences in (b) the focal depth range and (c) research fields associated with study organisms and research platforms, and (d) the lack of temporal studies. Overall, we are optimistic about the future of mesophotic research and hope that by highlighting current trends and imbalances, we can raise awareness and stimulate discussion on the future directions of this emerging field.},
}

*Ecosystem
Animals
Oceans and Seas
Research/trends
Anthozoa/physiology
Bias
Databases, Factual

@article {pmid39642189,
year = {2024},
author = {Graham, AL and Regoes, RR},
title = {Dose-dependent interaction of parasites with tiers of host defense predicts "wormholes" that prolong infection at intermediate inoculum sizes.},
journal = {PLoS computational biology},
volume = {20},
number = {12},
pages = {e1012652},
doi = {10.1371/journal.pcbi.1012652},
pmid = {39642189},
issn = {1553-7358},
mesh = {*Host-Parasite Interactions/immunology ; Animals ; Computational Biology ; Parasites/physiology/immunology ; Immunity, Innate ; Models, Biological ; },
abstract = {Immune responses are induced by parasite exposure and can in turn reduce parasite burden. Despite such apparently simple rules of engagement, key drivers of within-host dynamics, including dose-dependence of defense and infection duration, have proven difficult to predict. Here, we model how varied inoculating doses interact with multi-tiered host defenses at a site of inoculation, by confronting barrier, innate, and adaptive tiers with replicating and non-replicating parasites across multiple orders of magnitude of dose. We find that, in general, intermediate parasite doses generate infections of longest duration because they are sufficient in number to breach barrier defenses, but insufficient to strongly induce subsequent tiers of defense. These doses reveal "wormholes" in defense from which parasites might profit: Deviation from the hypothesis of independent action, which postulates that each parasite has an independent probability of establishing infection, may therefore be widespread. Interestingly, our model predicts local maxima of duration at two doses-one for each tier transition. While some empirical evidence is consistent with nonlinear dose-dependencies, testing the predicted dynamics will require finer-scale dose variation than experiments usually incorporate. Our results help explain varied infection establishment and duration among differentially-exposed hosts and elucidate evolutionary pressures that shape both virulence and defense.},
}

*Host-Parasite Interactions/immunology
Animals
Computational Biology
Parasites/physiology/immunology
Immunity, Innate
Models, Biological

@article {pmid39642168,
year = {2024},
author = {Champion, C and Momal, R and Le Chatelier, E and Sola, M and Mariadassou, M and Berland, M},
title = {OneNet-One network to rule them all: Consensus network inference from microbiome data.},
journal = {PLoS computational biology},
volume = {20},
number = {12},
pages = {e1012627},
doi = {10.1371/journal.pcbi.1012627},
pmid = {39642168},
issn = {1553-7358},
mesh = {*Computational Biology/methods ; Humans ; *Microbiota/physiology ; *Algorithms ; *Gastrointestinal Microbiome/physiology ; Microbial Interactions/physiology ; },
abstract = {Modeling microbial interactions as sparse and reproducible networks is a major challenge in microbial ecology. Direct interactions between the microbial species of a biome can help to understand the mechanisms through which microbial communities influence the system. Most state-of-the art methods reconstruct networks from abundance data using Gaussian Graphical Models, for which several statistically grounded and computationnally efficient inference approaches are available. However, the multiplicity of existing methods, when applied to the same dataset, generates very different networks. In this article, we present OneNet, a consensus network inference method that combines seven methods based on stability selection. This resampling procedure is used to tune a regularization parameter by computing how often edges are selected in the networks. We modified the stability selection framework to use edge selection frequencies directly and combine them in the inferred network to ensure that only reproducible edges are included in the consensus. We demonstrated on synthetic data that our method generally led to slightly sparser networks while achieving much higher precision than any single method. We further applied the method to gut microbiome data from liver-cirrothic patients and demonstrated that the resulting network exhibited a microbial guild that was meaningful in terms of human health.},
}

*Computational Biology/methods
Humans
*Microbiota/physiology
*Algorithms
*Gastrointestinal Microbiome/physiology
Microbial Interactions/physiology

@article {pmid39689059,
year = {2024},
author = {Bernadou, A and Jeanson, R},
title = {Randomness as a driver of inactivity in social groups.},
journal = {PLoS computational biology},
volume = {20},
number = {12},
pages = {e1012668},
doi = {10.1371/journal.pcbi.1012668},
pmid = {39689059},
issn = {1553-7358},
mesh = {Animals ; *Ants/physiology ; *Social Behavior ; Behavior, Animal/physiology ; Models, Biological ; Bees/physiology ; Computational Biology ; Computer Simulation ; Social Group ; },
abstract = {Social insects, such as ants and bees, are known for their highly efficient and structured colonies. Division of labour, in which each member of the colony has a specific role, is considered to be one major driver of their ecological success. However, empirical evidence has accumulated showing that many workers, sometimes more than half, remain idle in insect societies. Several hypotheses have been put forward to explain these patterns, but none provides a consensual explanation. Task specialisation exploits inter-individual variations, which are mainly influenced by genetic factors beyond the control of the colony. As a result, individuals may also differ in the efficiency with which they perform tasks. In this context, we aimed to test the hypothesis that colonies generate a large number of individuals in order to recruit only the most efficient to perform tasks, at the cost of producing and maintaining a fraction of workers that remain inactive. We developed a model to explore the conditions under which variations in the scaling of workers' production and maintenance costs, along with activity costs, allow colonies to sustain a fraction of inactive workers. We sampled individual performances according to different random distributions in order to simulate the variability associated with worker efficiency. Our results show that the inactivity of part of the workforce can be beneficial for a wide range of parameters if it allows colonies to select the most efficient workers. In decentralised systems such as insect societies, we suggest that inactivity is a by-product of the random processes associated with the generation of individuals whose performance levels cannot be controlled.},
}

Animals
*Ants/physiology
*Social Behavior
Behavior, Animal/physiology
Models, Biological
Bees/physiology
Computational Biology
Computer Simulation
Social Group

@article {pmid39688289,
year = {2024},
author = {Bao, Y and Jia, F and Geng, Y and Song, G and Xu, R and Wang, H and Mu, Y and Tong, HHY and Zhang, F and Guo, J},
title = {Uncovering the Differed Susceptibility of Fusarium oxysporum (Fo32931 and FocII5) to Fungicide Phenamacril: From Computational and Experimental Perspectives.},
journal = {Journal of agricultural and food chemistry},
volume = {},
number = {},
pages = {},
doi = {10.1021/acs.jafc.4c07865},
pmid = {39688289},
issn = {1520-5118},
abstract = {Fo32931 and FoCII5 are two subtypes of Fusarium oxysporum (Fo), a pathogenic filamentous fungus. Phenamacril (PHA), a Fusarium-specific fungicide that targets myosin I, exhibits significant hyphal growth inhibition in Fo32931 but shows weak resistance in FocII5, despite only two amino acid differences in the PHA-binding pocket of myosin I. In this study, we aim to elucidate the molecular basis for the differential sensitivity ofF. oxysporum myosin I variants (FoMyoI[32931] and FoMyoI[cII5]) to phenamacril through computational methods and biochemical validation. The results suggest that phenamacril functions as an allosteric inhibitor for FoMyoI[32931], inhibiting the large oscillation of the converter lever domain (CLD) upon ATP binding and promoting the opening of the outer cleft, further impairing protein function. PHA significantly reduced the coupling between the CLD, especially the converter, and the catalytic center, diminishing the response of the CLD to the motor domain in FoMyoI[32931]. From the residue mutation experiment, we found that the S418T substitution in FoMyoI[cII5] is the key to the reduced phenamacril sensitivity of FocII5. According to the microscale thermophoresis (MST) assay and pocket conformation analysis, the S418T mutation disturbs the orientation of pocket residues, especially Lys537, leading to a looser pocket and reduced interaction between Lys537 and phenamacril, which lowers the binding affinity of FoMyoI[cII5] for phenamacril. These findings provide deeper insights into the reasons for the lower sensitivity of FoCII5 to phenamacril from both molecular and structural perspectives and will also guide the design of novel inhibitors against resistant Fusarium spp., like FoCII5.},
}

@article {pmid39684926,
year = {2024},
author = {Liu, R and Zhang, P and Bai, J and Zhong, Z and Shan, Y and Cheng, Z and Zhang, Q and Guo, Q and Zhang, H and Zhang, B},
title = {Integrated Transcriptomic and Proteomic Analyses of Antler Growth and Ossification Mechanisms.},
journal = {International journal of molecular sciences},
volume = {25},
number = {23},
pages = {},
doi = {10.3390/ijms252313215},
pmid = {39684926},
issn = {1422-0067},
support = {23CB063 and 24CE-BGS-09//Beijing Academy of Science and Technology Financial Support Projects/ ; },
mesh = {*Antlers/growth & development/metabolism ; Animals ; *Osteogenesis/genetics ; *Deer/genetics/growth & development ; *Transcriptome ; *Proteomics/methods ; Proteome/metabolism ; Gene Expression Profiling ; Gene Expression Regulation, Developmental ; Computational Biology/methods ; },
abstract = {Antlers are the sole mammalian organs capable of continuous regeneration. This distinctive feature has evolved into various biomedical models. Research on mechanisms of antler growth, development, and ossification provides valuable insights for limb regeneration, cartilage-related diseases, and cancer mechanisms. Here, ribonucleic acid sequencing (RNA-seq) and four-dimensional data-independent acquisition (4D DIA) technologies were employed to examine gene and protein expression differences among four tissue layers of the Chinese milu deer antler: reserve mesenchyme (RM), precartilage (PC), transition zone (TZ), cartilage (CA). Overall, 4611 differentially expressed genes (DEGs) and 2388 differentially expressed proteins (DEPs) were identified in the transcriptome and proteome, respectively. Among the 828 DEGs common to both omics approaches, genes from the collagen, integrin, and solute carrier families, and signaling molecules were emphasized for their roles in the regulation of antler growth, development, and ossification. Bioinformatics analysis revealed that in addition to being regulated by vascular and nerve regeneration pathways, antler growth and development are significantly influenced by numerous cancer-related signaling pathways. This indicates that antler growth mechanisms may be similar to those of cancer cell proliferation and development. This study lays a foundation for future research on the mechanisms underlying the rapid growth and ossification of antlers.},
}

*Antlers/growth & development/metabolism
Animals
*Osteogenesis/genetics
*Deer/genetics/growth & development
*Transcriptome
*Proteomics/methods
Proteome/metabolism
Gene Expression Profiling
Gene Expression Regulation, Developmental
Computational Biology/methods

@article {pmid39684378,
year = {2024},
author = {Zhang, KL and Leng, YN and Hao, RR and Zhang, WY and Li, HF and Chen, MX and Zhu, FY},
title = {Adaptation of High-Altitude Plants to Harsh Environments: Application of Phenotypic-Variation-Related Methods and Multi-Omics Techniques.},
journal = {International journal of molecular sciences},
volume = {25},
number = {23},
pages = {},
doi = {10.3390/ijms252312666},
pmid = {39684378},
issn = {1422-0067},
support = {KYCX24_1376//Postgraduate Research & Practice Innovation Program of Jiangsu Province/ ; 2023ZD0405602//STI 2030－Major Projects/ ; CX (21)2023//Jiangsu Agricultural Science and Technology Innovation Fund/ ; BK20240668//Basic Research Program of Jiangsu Province/ ; },
mesh = {*Altitude ; *Metabolomics/methods ; *Plants/metabolism/genetics ; *Proteomics/methods ; *Adaptation, Physiological ; *Genomics/methods ; *Phenotype ; Plant Physiological Phenomena ; Acclimatization ; Transcriptome ; Multiomics ; },
abstract = {High-altitude plants face extreme environments such as low temperature, low oxygen, low nutrient levels, and strong ultraviolet radiation, causing them to adopt complex adaptation mechanisms. Phenotypic variation is the core manifestation of ecological adaptation and evolution. Many plants have developed a series of adaptive strategies through long-term natural selection and evolution, enabling them to survive and reproduce under such harsh conditions. This article reviews the techniques and methods used in recent years to study the adaptive evolution of high-altitude plants, including transplantation techniques, genomics, transcriptomics, proteomics, and metabolomics techniques, and their applications in high-altitude plant adaptive evolution. Transplantation technology focuses on phenotypic variation, which refers to natural variations in morphological, physiological, and biochemical characteristics, exploring their key roles in nutrient utilization, photosynthesis optimization, and stress-resistance protection. Multiple omics technologies, including genomics, transcriptomics, proteomics, and metabolomics, have revealed genes, regulatory pathways, and metabolic networks associated with phenotypic variations at the genetic and molecular levels. At the same time, the limitations and deficiencies of current technologies used to study plant adaptation to high-altitude environments were discussed. In addition, we propose future improvements to existing technologies and advocate for the integration of different technologies at multiple levels to study the molecular mechanisms of plant adaptation to high-altitude environments, thus providing insights for future research in this field.},
}

*Altitude
*Metabolomics/methods
*Plants/metabolism/genetics
*Proteomics/methods
*Adaptation, Physiological
*Genomics/methods
*Phenotype
Plant Physiological Phenomena
Acclimatization
Transcriptome
Multiomics

@article {pmid39683090,
year = {2024},
author = {Chaligava, O and Zinicovscaia, I and Peshkova, A and Yushin, N and Frontasyeva, M and Vergel, K and Nurkassimova, M and Cepoi, L},
title = {Major and Trace Airborne Elements and Ecological Risk Assessment: Georgia Moss Survey 2019-2023.},
journal = {Plants (Basel, Switzerland)},
volume = {13},
number = {23},
pages = {},
doi = {10.3390/plants13233298},
pmid = {39683090},
issn = {2223-7747},
abstract = {The study, carried out as part of the International Cooperative Program on Effects of Air Pollution on Natural Vegetation and Crops, involved collecting 95 moss samples across the territory of Georgia during the period from 2019 to 2023. Primarily samples of Hypnum cupressiforme were selected, with supplementary samples of Abietinella abietina, Pleurozium schreberi, and Hylocomium splendens in cases of the former's absence. The content of 14 elements (Al, Ba, Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, S, Sr, V, and Zn) was detected using Inductively Coupled Plasma Atomic Emission Spectroscopy (ICP-AES), while the Hg content was determined using a Direct Mercury Analyzer. To identify any relationships between chemical elements and to depict their sources, multivariate statistics was applied. Principal component analysis identified three main components: PC1 (geogenic, 43.4%), PC2 (anthropogenic, 13.3%), and PC3 (local anomalies, 8.5%). The results were compared with the first moss survey conducted in Georgia in the period from 2014 to 2017, offering insights into temporal trends of air quality. Utilizing GIS, a spatial map illustrating pollution levels across Georgia, based on the Pollution Load Index, was generated. The Potential Environmental Risk Index emphasized significant risks associated with mercury and cadmium at several locations. The study highlights the utility of moss biomonitoring in assessing air pollution and identifying hotspots of contamination. The findings from this study could be beneficial for future biomonitoring research in areas with varying physical and geographical conditions.},
}

@article {pmid39679384,
year = {2024},
author = {Khosravi, M and Mojtabaeian, SM and Sarvestani, MA},
title = {A Systematic Review on the Outcomes of Climate Change in the Middle-Eastern Countries: The Catastrophes of Yemen and Syria.},
journal = {Environmental health insights},
volume = {18},
number = {},
pages = {11786302241302270},
pmid = {39679384},
issn = {1178-6302},
abstract = {The Middle East is facing serious climate change challenges, rendering it as one of the most affected regions worldwide. This paper aimed to investigate the outcomes of climate change in the Middle East. In 2024, a qualitative study was conducted employing a methodology that integrated systematic review for data collection and thematic analysis for data analysis. Such integration of the approaches provided valuable insights into the findings within the literature in a comprehensive and categorized format. PubMed, Scopus, ProQuest, and the Cochrane Database of Systematic Reviews were searched for relevant studies published between 2000 and 2024. The quality of these studies was assessed using the AACODS (Accuracy, Coverage, Objectivity, Date, Significance) checklist. The data extracted from the included studies underwent a thematic analysis utilizing Braun and Clarke's methodology. After completing the screening process, a total of 93 papers were deemed suitable for inclusion in the study. The quality assessment of these selected studies demonstrated a notably high standard, particularly in terms of authority, accuracy, coverage, objectivity, and significance. Moreover, minimal levels of bias were observed within the included studies. Subsequent thematic analysis of the findings from the systematic review identified 6 overarching themes: "Human Health Outcomes," "Animal Health Outcomes," "Plant Health Outcomes," "Ecological Outcomes," "Economic Outcomes," and "Political Outcomes." The study revealed ecological outcomes as the most prevalent consequences of climate change in the Middle East, including alterations in habitat distribution, temperature increase, water scarcity, and more. The outcomes seemed to be interconnected, exacerbating each other. Yemen and Syria had faced severe consequences, leading to political unrest and humanitarian crises in which Yemen ranking among the most water-stressed nations globally, while Syria contending with millions of displaced individuals living in dire conditions.},
}

@article {pmid39675288,
year = {2024},
author = {Mu, X and Chen, C and Fan, Q and Zhang, W and Liu, F and Guo, J and Qi, W and Liu, H},
title = {Removal and ecological impact of sulfamethoxazole and N-acetyl sulfamethoxazole in mesocosmic wetlands dominated by submerged plants: Plant tolerance, microbial response, and nitrogen transformation.},
journal = {The Science of the total environment},
volume = {958},
number = {},
pages = {178034},
doi = {10.1016/j.scitotenv.2024.178034},
pmid = {39675288},
issn = {1879-1026},
abstract = {Sulfamethoxazole (SMX) and its human metabolite N-acetylsulfamethoxazole (N-SMX) are frequently detected in aquatic environments, posing potential threats to freshwater ecosystem health. Constructed wetlands are pivotal for wastewater treatment, with plant species serving as key determinants of pollutant removal efficiency. In this study, wetlands dominated by three submerged plants (Myriophyllum verticillatum, Vallisneria spiralis, Hydrilla verticillata) were respectively constructed to investigate the removal of SMX and N-SMX, and the impact on wetland ecology regarding plant tolerance, microbial response, and nitrogen transformation. Results showed that wetlands removed N-SMX (82.3-99.8 %) more effectively than SMX (54.3-80.2 %), with the wetland dominated by Myriophyllum verticillatum showing the highest removal efficiency. However, high concentrations (5 mg/L) of SMX and N-SMX significantly reduced NH4[+]-N and TN removal (p < 0.05), accompanied by shifts in microbial communities, especially a decreased abundance of Proteobacteria and key nitrogen-transforming genes. A total of 22 different ARGs (antibiotic resistance genes) were detected. SMX significantly increased the relative abundance of sulfonamide resistance genes (sul1, sul2) (p < 0.05), while major denitrifying genera, such as Thiobacillus, which were not the primary hosts of these genes, showed a significant negative correlation with sul1 and sul2 (p < 0.05). This study provides a reference for ecological remediation of wetlands in response to antibiotic contamination.},
}

@article {pmid39673237,
year = {2024},
author = {Movahed, E and Gandomkar, F and Ameri, M},
title = {Impact of Climatic Factors on the Incidence of Urban Leishmaniasis Using Geographic Information System.},
journal = {Iranian biomedical journal},
volume = {28},
number = {7},
pages = {91},
pmid = {39673237},
issn = {2008-823X},
mesh = {Humans ; Incidence ; *Geographic Information Systems ; *Climate ; Adolescent ; Female ; Male ; Middle Aged ; Adult ; Leishmaniasis, Cutaneous/epidemiology ; Iran/epidemiology ; Cross-Sectional Studies ; Seasons ; Young Adult ; Child ; Child, Preschool ; },
abstract = {INTRODUCTION: The present study aimed to evaluate the effect of climatic factors on the rate of urban cutaneous leishmaniasis in the Sar Asiyab area of Kerman using a geographic information system from 2016 to 2021.

MATERIALS AND METHODS: The sample size in this descriptive-analytical cross-sectional study included patients suffering from urban cutaneous leishmaniasis who lived in Kerman City, Sar Asiyab region, from 2016 to 2021, using the census method.

RESULTS: The study involved 332 patients with cutaneous leishmaniasis. Of these, 36.7% were under 15 years old, and 6.4% were over 60. A statistically significant difference was observed between patients' mean and standard deviation in each season a year in Kerman (Sar Asiyab) (p = 0.03). The highest incidence rate of cutaneous leishmaniasis was in 2017, and the lowest one was in 2020.

CONCLUSION AND DISCUSSION: Considering the high incidence of leishmaniasis in 2016 and the significant difference in the seasons, all climatic factors should be determined simultaneously. Additionally, the geographical distribution of the disease should be assessed from various epidemiological and ecological aspects in 2016, considering the seasons.},
}

Humans
Incidence
*Geographic Information Systems
*Climate
Adolescent
Female
Male
Middle Aged
Adult
Leishmaniasis, Cutaneous/epidemiology
Iran/epidemiology
Cross-Sectional Studies
Seasons
Young Adult
Child
Child, Preschool

@article {pmid39435526,
year = {2025},
author = {Kan-Lingwood, NY and Sagi, L and Mazie, S and Shahar, N and Zecherle Bitton, L and Templeton, A and Rubenstein, D and Bouskila, A and Bar-David, S},
title = {Genotyping Error Detection and Customised Filtration for SNP Datasets.},
journal = {Molecular ecology resources},
volume = {25},
number = {1},
pages = {e14033},
doi = {10.1111/1755-0998.14033},
pmid = {39435526},
issn = {1755-0998},
support = {2011384//United States-Israel Binational Science Foundation/ ; },
mesh = {*Polymorphism, Single Nucleotide ; *Genotyping Techniques/methods ; Animals ; Genotype ; Computational Biology/methods ; },
abstract = {A major challenge in analysing single-nucleotide polymorphism (SNP) genotype datasets is detecting and filtering errors that bias analyses and misinterpret ecological and evolutionary processes. Here, we present a comprehensive method to estimate and minimise genotyping error rates (deviations from the 'true' genotype) in any SNP datasets using triplicates (three repeats of the same sample) in a four-step filtration pipeline. The approach involves: (1) SNP filtering by missing data; (2) SNP filtering by error rates; (3) sample filtering by missing data and (4) detection of recaptured individuals by using estimated SNP error rates. The modular pipeline is provided in an R script that allows customised adjustments. We demonstrate the applicability of the method using non-invasive sampling from the Asiatic wild ass (Equus hemionus) population in Israel. We genotyped 756 samples using 625 SNPs, of which 255 were triplicates of 85 samples. The average SNP error rate, calculated based on the number of mismatching genotypes across triplicates before filtration, was 0.0034 and was reduced to 0.00174 following filtration. Evaluating genetic distance (GD) and relatedness (r) between triplicates before and after filtration (expected to be at the minimum and maximum respectively) showed a significant reduction in the average GD, from 58.1 to 25.3 (p = 0.0002) and a significant increase in relatedness, from r = 0.98 to r = 0.991 (p = 0.00587). We demonstrate how error rate estimation enhances recapture detection and improves genotype quality.},
}

*Polymorphism, Single Nucleotide
*Genotyping Techniques/methods
Animals
Genotype
Computational Biology/methods

@article {pmid39432055,
year = {2025},
author = {Zhao, L and Henriksen, RA and Ramsøe, A and Nielsen, R and Korneliussen, TS},
title = {Revisiting the Briggs Ancient DNA Damage Model: A Fast Maximum Likelihood Method to Estimate Post-Mortem Damage.},
journal = {Molecular ecology resources},
volume = {25},
number = {1},
pages = {e14029},
pmid = {39432055},
issn = {1755-0998},
support = {CF19-0712//Carlsberg Foundation/ ; CF20-0071//Carlsberg Foundation/ ; R302-2018-2155//Lundbeck Foundation/ ; },
mesh = {*DNA, Ancient/analysis ; DNA Damage ; Sequence Analysis, DNA/methods ; Likelihood Functions ; High-Throughput Nucleotide Sequencing/methods ; Computational Biology/methods ; Humans ; },
abstract = {One essential initial step in the analysis of ancient DNA is to authenticate that the DNA sequencing reads are actually from ancient DNA. This is done by assessing if the reads exhibit typical characteristics of post-mortem damage (PMD), including cytosine deamination and nicks. We present a novel statistical method implemented in a fast multithreaded programme, ngsBriggs that enables rapid quantification of PMD by estimation of the Briggs ancient damage model parameters (Briggs parameters). Using a multinomial model with maximum likelihood fit, ngsBriggs accurately estimates the parameters of the Briggs model, quantifying the PMD signal from single and double-stranded DNA regions. We extend the original Briggs model to capture PMD signals for contemporary sequencing platforms and show that ngsBriggs accurately estimates the Briggs parameters across a variety of contamination levels. Classification of reads into ancient or modern reads, for the purpose of decontamination, is significantly more accurate using ngsBriggs than using other methods available. Furthermore, ngsBriggs is substantially faster than other state-of-the-art methods. ngsBriggs offers a practical and accurate method for researchers seeking to authenticate ancient DNA and improve the quality of their data.},
}

*DNA, Ancient/analysis
DNA Damage
Sequence Analysis, DNA/methods
Likelihood Functions
High-Throughput Nucleotide Sequencing/methods
Computational Biology/methods
Humans

@article {pmid39671336,
year = {2024},
author = {Karim, AAJ and Mahmud, MZ and Khan, R},
title = {Advanced vision transformers and open-set learning for robust mosquito classification: A novel approach to entomological studies.},
journal = {PLoS computational biology},
volume = {20},
number = {12},
pages = {e1012654},
pmid = {39671336},
issn = {1553-7358},
mesh = {Animals ; *Culicidae/classification ; *Deep Learning ; *Computational Biology/methods ; Entomology/methods ; Mosquito Vectors/classification ; Humans ; Algorithms ; Neural Networks, Computer ; },
abstract = {Mosquito-related diseases pose a significant threat to global public health, necessitating efficient and accurate mosquito classification for effective surveillance and control. This work presents an innovative approach to mosquito classification by leveraging state-of-the-art vision transformers and open-set learning techniques. A novel framework has been introduced that integrates Transformer-based deep learning models with comprehensive data augmentation and preprocessing methods, enabling robust and precise identification of ten mosquito species. The Swin Transformer model achieves the best performance for traditional closed-set learning with 99.60% accuracy and 0.996 F1 score. The lightweight MobileViT technique attains an almost equivalent accuracy of 98.90% with significantly reduced parameters and model complexities. Next, the applied deep learning models' adaptability and generalizability in a static environment have been enhanced by using new classes of data samples during the inference stage that have not been included in the training set. The proposed framework's ability to handle unseen classes like insects similar to mosquitoes, even humans, through open-set learning further enhances its practical applicability employing the OpenMax technique and Weibull distribution. The traditional CNN model, Xception, outperforms the latest transformer with higher accuracy and F1 score for open-set learning. The study's findings highlight the transformative potential of advanced deep-learning architectures in entomology, providing a strong groundwork for future research and development in mosquito surveillance and vector control. The implications of this work extend beyond mosquito classification, offering valuable insights for broader ecological and environmental monitoring applications.},
}

Animals
*Culicidae/classification
*Deep Learning
*Computational Biology/methods
Entomology/methods
Mosquito Vectors/classification
Humans
Algorithms
Neural Networks, Computer

@article {pmid39670410,
year = {2025},
author = {Alipio, K and García-Colón, J and Boscarino, N and Fox, K},
title = {Indigenous Data Sovereignty, Circular Systems, and Solarpunk Solutions for a Sustainable Future.},
journal = {Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing},
volume = {30},
number = {},
pages = {717-733},
pmid = {39670410},
issn = {2335-6936},
mesh = {*Artificial Intelligence ; *Computational Biology ; Humans ; Cloud Computing/statistics & numerical data ; Sustainable Development ; Indigenous Peoples/statistics & numerical data ; Conservation of Natural Resources ; },
abstract = {Recent advancements in Artificial Intelligence (AI) and data center infrastructure have brought the global cloud computing market to the forefront of conversations about sustainability and energy use. Current policy and infrastructure for data centers prioritize economic gain and resource extraction, inherently unsustainable models which generate massive amounts of energy and heat waste. Our team proposes the formation of policy around earth-friendly computation practices rooted in Indigenous models of circular systems of sustainability. By looking to alternative systems of sustainability rooted in Indigenous values of aloha 'āina, or love for the land, we find examples of traditional ecological knowledge (TEK) that can be imagined alongside Solarpunk visions for a more sustainable future. One in which technology works with the environment, reusing electronic waste (e-waste) and improving data life cycles.},
}

*Artificial Intelligence
*Computational Biology
Humans
Cloud Computing/statistics & numerical data
Sustainable Development
Indigenous Peoples/statistics & numerical data
Conservation of Natural Resources

@article {pmid39664868,
year = {2024},
author = {Boyes, D and Zilli, A and , and , and , and , and , and , and , },
title = {The genome sequence of the Grey Shoulder-knot, Lithophane ornitopus (Hufnagel, 1766).},
journal = {Wellcome open research},
volume = {9},
number = {},
pages = {214},
pmid = {39664868},
issn = {2398-502X},
abstract = {We present a genome assembly from an individual male Lithophane ornitopus (the Grey Shoulder-knot; Arthropoda; Insecta; Lepidoptera; Noctuidae). The genome sequence is 508.6 megabases in span. Most of the assembly is scaffolded into 31 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled and is 15.33 kilobases in length. Gene annotation of this assembly on Ensembl identified 18,397 protein coding genes.},
}

@article {pmid39664717,
year = {2024},
author = {Baker, KS and Millerand, F},
title = {The Incremental Growth of Data Infrastructure in Ecology (1980-2020).},
journal = {Ecology and evolution},
volume = {14},
number = {12},
pages = {e70444},
pmid = {39664717},
issn = {2045-7758},
abstract = {After decades of growth, a research community's network information system and data repository were transformed to become a national data management office and a major element of data infrastructure for ecology and the environmental sciences. Developing functional data infrastructures is key to the support of ongoing Open Science and Open Data efforts. This example of data infrastructure growth contrasts with the top-down development typical of many digital initiatives. The trajectory of this network information system evolved within a collaborative, long-term ecological research community. This particular community is funded to conduct ecological research while collective data management is also carried out across its geographically dispersed study sites. From this longitudinal ethnography, we describe an Incremental Growth Model that includes a sequence of six relatively stable phases where each phase is initiated by a rapid response to a major pivotal event. Exploring these phases and the roles of data workers provides insight into major characteristics of digital growth. Further, a transformation in assumptions about data management is reported for each phase. Investigating the growth of a community information system over four decades as it becomes data infrastructure reveals details of its social, technical, and institutional dynamics. In addition to addressing how digital data infrastructure characteristics change, this study also considers when the growth of data infrastructure begins.},
}

@article {pmid39663400,
year = {2024},
author = {Carter, KR and Cavaleri, MA and Atkin, OK and Bahar, NHA and Cheesman, AW and Choury, Z and Crous, KY and Doughty, CE and Dusenge, ME and Ely, KS and Evans, JR and Fonseca da Silva, J and Mau, AC and Medlyn, BE and Meir, P and Norby, RJ and Read, J and Reed, SC and Reich, PB and Rogers, A and Serbin, SP and Slot, M and Schwartz, EC and Tribuzy, ES and Uddling, J and Vårhammar, A and Walker, AP and Winter, K and Wood, TE and Wu, J},
title = {Photosynthetic responses to temperature across the tropics: a meta-analytic approach.},
journal = {Annals of botany},
volume = {},
number = {},
pages = {},
doi = {10.1093/aob/mcae206},
pmid = {39663400},
issn = {1095-8290},
abstract = {BACKGROUND AND AIMS: Tropical forests exchange more carbon dioxide (CO2) with the atmosphere than any other terrestrial biome. Yet, uncertainty in the projected carbon balance over the next century is roughly three-times greater for the tropics than other ecosystems. Our limited knowledge of tropical plant physiological responses, including photosynthetic, to climate change is a substantial source of uncertainty in our ability to forecast the global terrestrial carbon sink.

METHODS: We used a meta-analytic approach, focusing on tropical photosynthetic temperature responses, to address this knowledge gap. Our dataset, gleaned from 18 independent studies, included leaf-level light saturated photosynthetic (Asat) temperature responses from 108 woody species, with additional temperature parameters (35 species) and rates (250 species) of both maximum rates of electron transport (Jmax) and Rubisco carboxylation (Vcmax). We investigated how these parameters responded to mean annual temperature (MAT), temperature variability, aridity, and elevation, as well as also how responses differed among successional strategy, leaf habit, and light environment.

KEY RESULTS: Optimum temperatures for Asat (ToptA) and Jmax (ToptJ) increased with MAT but not for Vcmax (ToptV). Although photosynthetic rates were higher for "light" than "shaded" leaves, light conditions did not generate differences in temperature response parameters. ToptA did not differ with successional strategy, but early successional species had ~4 °C wider thermal niches than mid/late species. Semi-deciduous species had ~1 °C higher ToptA than broadleaf evergreen. Most global modeling efforts consider all tropical forests as a single "broadleaf evergreen" functional type, but our data show that tropical species with different leaf habits display distinct temperature responses that should be included in modeling efforts.

CONCLUSIONS: This novel research will inform modeling efforts to quantify tropical ecosystem carbon cycling and provide more accurate representations of how these key ecosystems will respond to altered temperature patterns in the face of climate warming.},
}

@article {pmid39621775,
year = {2024},
author = {Osiecka, AN and Bryndza, P and Briefer, EF and Wojczulanis-Jakubas, K},
title = {Long distance calls: Negligible information loss of little auk social vocalisations due to high frequency propagation losses.},
journal = {PLoS computational biology},
volume = {20},
number = {12},
pages = {e1011961},
doi = {10.1371/journal.pcbi.1011961},
pmid = {39621775},
issn = {1553-7358},
mesh = {Animals ; *Vocalization, Animal/physiology ; Sound Spectrography/methods ; Computational Biology ; Acoustics ; Social Behavior ; },
abstract = {How well does the information contained in vocal signals travel through the environment? To assess the efficiency of information transfer in little auk (Alle alle, an Arctic seabird) calls over distance, we selected two of the social call types with the highest potential for individuality coding. Using available recordings of known individuals, we calculated the apparent source levels, with apparent maximum peak sound pressure level (ASPL) of 63 dB re 20 μPa at 1 m for both call types. Further, we created a sound attenuation model using meteorological data collected in the vicinity of the little auk colony in Hornsund, Spitsbergen. Using this model, we modelled the calls to reflect higher frequency filtering and sound level loss occurring during spherical spreading in perfect local conditions, down to the putative hearing threshold of the species, calculated to equal ASPL of signals "propagated" to roughly one kilometre. Those modelled calls were then used in a permuted discriminant function analysis, support vector machine models, and linear models of Beecher's information statistic, to investigate whether transmission loss will affect the retention of individual information of the signal. Calls could be correctly classified to individuals above chance level independently of the distance, down to and over the putative physiological hearing threshold. Interestingly, the information capacity of the signal did not decrease with its filtering and attenuation. While this study touches on signal properties purely and cannot provide evidence of the actual use by the animals, it shows that little auk signals can theoretically travel long distances with negligible information loss, and supports the hypothesis that vocalisations could facilitate long-distance communication in the species.},
}

Animals
*Vocalization, Animal/physiology
Sound Spectrography/methods
Computational Biology
Acoustics
Social Behavior

@article {pmid39660611,
year = {2024},
author = {Mortzfeld, BM and Bhattarai, SK and Bucci, V},
title = {Novel class IIb microcins show activity against Gram-negative ESKAPE and plant pathogens.},
journal = {eLife},
volume = {13},
number = {},
pages = {},
doi = {10.7554/eLife.102912},
pmid = {39660611},
issn = {2050-084X},
support = {W81XWH2020013//Congressionally Directed Medical Research Programs/ ; 1R01AG075283-01A1/NH/NIH HHS/United States ; 457837076//Deutsche Forschungsgemeinschaft/ ; },
mesh = {*Bacteriocins/pharmacology/genetics/metabolism ; *Enterobacteriaceae/drug effects/genetics ; *Anti-Bacterial Agents/pharmacology ; Gram-Negative Bacteria/drug effects/genetics ; Plant Diseases/microbiology ; Microbial Sensitivity Tests ; },
abstract = {Interspecies interactions involving direct competition via bacteriocin production play a vital role in shaping ecological dynamics within microbial ecosystems. For instance, the ribosomally produced siderophore bacteriocins, known as class IIb microcins, affect the colonization of host-associated pathogenic Enterobacteriaceae species. Notably, to date, only five of these antimicrobials have been identified, all derived from specific Escherichia coli and Klebsiella pneumoniae strains. We hypothesized that class IIb microcin production extends beyond these specific compounds and organisms. With a customized informatics-driven approach, screening bacterial genomes in public databases with BLAST and manual curation, we have discovered 12 previously unknown class IIb microcins in seven additional Enterobacteriaceae species, encompassing phytopathogens and environmental isolates. We introduce three novel clades of microcins (MccW, MccX, and MccZ), while also identifying eight new variants of the five known class IIb microcins. To validate their antimicrobial potential, we heterologously expressed these microcins in E. coli and demonstrated efficacy against a variety of bacterial isolates, including plant pathogens from the genera Brenneria, Gibbsiella, and Rahnella. Two newly discovered microcins exhibit activity against Gram-negative ESKAPE pathogens, i.e., Acinetobacter baumannii or Pseudomonas aeruginosa, providing the first evidence that class IIb microcins can target bacteria outside of the Enterobacteriaceae family. This study underscores that class IIb microcin genes are more prevalent in the microbial world than previously recognized and that synthetic hybrid microcins can be a viable tool to target clinically relevant drug-resistant pathogens. Our findings hold significant promise for the development of innovative engineered live biotherapeutic products tailored to combat these resilient bacteria.},
}

*Bacteriocins/pharmacology/genetics/metabolism
*Enterobacteriaceae/drug effects/genetics
*Anti-Bacterial Agents/pharmacology
Gram-Negative Bacteria/drug effects/genetics
Plant Diseases/microbiology
Microbial Sensitivity Tests

@article {pmid39657789,
year = {2024},
author = {Zdouc, MM and Blin, K and Louwen, NLL and Navarro, J and Loureiro, C and Bader, CD and Bailey, CB and Barra, L and Booth, TJ and Bozhüyük, KAJ and Cediel-Becerra, JDD and Charlop-Powers, Z and Chevrette, MG and Chooi, YH and D'Agostino, PM and de Rond, T and Del Pup, E and Duncan, KR and Gu, W and Hanif, N and Helfrich, EJN and Jenner, M and Katsuyama, Y and Korenskaia, A and Krug, D and Libis, V and Lund, GA and Mantri, S and Morgan, KD and Owen, C and Phan, CS and Philmus, B and Reitz, ZL and Robinson, SL and Singh, KS and Teufel, R and Tong, Y and Tugizimana, F and Ulanova, D and Winter, JM and Aguilar, C and Akiyama, DY and Al-Salihi, SAA and Alanjary, M and Alberti, F and Aleti, G and Alharthi, SA and Rojo, MYA and Arishi, AA and Augustijn, HE and Avalon, NE and Avelar-Rivas, JA and Axt, KK and Barbieri, HB and Barbosa, JCJ and Barboza Segato, LG and Barrett, SE and Baunach, M and Beemelmanns, C and Beqaj, D and Berger, T and Bernaldo-Agüero, J and Bettenbühl, SM and Bielinski, VA and Biermann, F and Borges, RM and Borriss, R and Breitenbach, M and Bretscher, KM and Brigham, MW and Buedenbender, L and Bulcock, BW and Cano-Prieto, C and Capela, J and Carrion, VJ and Carter, RS and Castelo-Branco, R and Castro-Falcón, G and Chagas, FO and Charria-Girón, E and Chaudhri, AA and Chaudhry, V and Choi, H and Choi, Y and Choupannejad, R and Chromy, J and Donahey, MSC and Collemare, J and Connolly, JA and Creamer, KE and Crüsemann, M and Cruz, AA and Cumsille, A and Dallery, JF and Damas-Ramos, LC and Damiani, T and de Kruijff, M and Martín, BD and Sala, GD and Dillen, J and Doering, DT and Dommaraju, SR and Durusu, S and Egbert, S and Ellerhorst, M and Faussurier, B and Fetter, A and Feuermann, M and Fewer, DP and Foldi, J and Frediansyah, A and Garza, EA and Gavriilidou, A and Gentile, A and Gerke, J and Gerstmans, H and Gomez-Escribano, JP and González-Salazar, LA and Grayson, NE and Greco, C and Gomez, JEG and Guerra, S and Flores, SG and Gurevich, A and Gutiérrez-García, K and Hart, L and Haslinger, K and He, B and Hebra, T and Hemmann, JL and Hindra, H and Höing, L and Holland, DC and Holme, JE and Horch, T and Hrab, P and Hu, J and Huynh, TH and Hwang, JY and Iacovelli, R and Iftime, D and Iorio, M and Jayachandran, S and Jeong, E and Jing, J and Jung, JJ and Kakumu, Y and Kalkreuter, E and Kang, KB and Kang, S and Kim, W and Kim, GJ and Kim, H and Kim, HU and Klapper, M and Koetsier, RA and Kollten, C and Kovács, ÁT and Kriukova, Y and Kubach, N and Kunjapur, AM and Kushnareva, AK and Kust, A and Lamber, J and Larralde, M and Larsen, NJ and Launay, AP and Le, NT and Lebeer, S and Lee, BT and Lee, K and Lev, KL and Li, SM and Li, YX and Licona-Cassani, C and Lien, A and Liu, J and Lopez, JAV and Machushynets, NV and Macias, MI and Mahmud, T and Maleckis, M and Martinez-Martinez, AM and Mast, Y and Maximo, MF and McBride, CM and McLellan, RM and Bhatt, KM and Melkonian, C and Merrild, A and Metsä-Ketelä, M and Mitchell, DA and Müller, AV and Nguyen, GS and Nguyen, HT and Niedermeyer, THJ and O'Hare, JH and Ossowicki, A and Ostash, BO and Otani, H and Padva, L and Paliyal, S and Pan, X and Panghal, M and Parade, DS and Park, J and Parra, J and Rubio, MP and Pham, HT and Pidot, SJ and Piel, J and Pourmohsenin, B and Rakhmanov, M and Ramesh, S and Rasmussen, MH and Rego, A and Reher, R and Rice, AJ and Rigolet, A and Romero-Otero, A and Rosas-Becerra, LR and Rosiles, PY and Rutz, A and Ryu, B and Sahadeo, LA and Saldanha, M and Salvi, L and Sánchez-Carvajal, E and Santos-Medellin, C and Sbaraini, N and Schoellhorn, SM and Schumm, C and Sehnal, L and Selem, N and Shah, AD and Shishido, TK and Sieber, S and Silviani, V and Singh, G and Singh, H and Sokolova, N and Sonnenschein, EC and Sosio, M and Sowa, ST and Steffen, K and Stegmann, E and Streiff, AB and Strüder, A and Surup, F and Svenningsen, T and Sweeney, D and Szenei, J and Tagirdzhanov, A and Tan, B and Tarnowski, MJ and Terlouw, BR and Rey, T and Thome, NU and Torres Ortega, LR and Tørring, T and Trindade, M and Truman, AW and Tvilum, M and Udwary, DW and Ulbricht, C and Vader, L and van Wezel, GP and Walmsley, M and Warnasinghe, R and Weddeling, HG and Weir, ANM and Williams, K and Williams, SE and Witte, TE and Rocca, SMW and Yamada, K and Yang, D and Yang, D and Yu, J and Zhou, Z and Ziemert, N and Zimmer, L and Zimmermann, A and Zimmermann, C and van der Hooft, JJJ and Linington, RG and Weber, T and Medema, MH},
title = {MIBiG 4.0: advancing biosynthetic gene cluster curation through global collaboration.},
journal = {Nucleic acids research},
volume = {},
number = {},
pages = {},
doi = {10.1093/nar/gkae1115},
pmid = {39657789},
issn = {1362-4962},
support = {KICH1.LWV04.21.013//NWO/ ; 101000392//Horizon 2020/ ; OSF.23.1.044//NWO Open Science Project 'BiG-CODEC'/ ; 547394769//German Research Foundation/ ; //University of Sydney/ ; NNF22OC0078997//Novo Nodisk Foundation/ ; IM230100154//Australian Research Council Industry Fellowship/ ; //Hans Fischer Society/ ; //UK Government Department for Environment, Food & Rural Affairs (DEFRA) Global Centre on Biodiversity for the Climate/ ; EP/X03142X/1//United Kingdom Research and Innovation/ ; 101072485//Horizon Europe Marie Skłodowska-Curie/ ; //Indonesia Endowment Fund for Education Agency (LPDP)/ ; 106/IV/KS/11/2023//National Research and Innovation Agency/ ; 027/E5/PG.02.00.PL/2024//Ministry of Education/ ; MR/W011247/1//UKRI Future Leaders Fellowship/ ; 101117891-MeDiSyn//ERC Starting/ ; ANR-22-CE44-0011-01 UMISYN//Agence Nationale de la Recherche/ ; BB/X010953/1//Growing Health Institute Strategic Programme/ ; //Department of Biotechnology/ ; //National Agri-Food Biotechnology Institute/ ; 101087181//EU/ ; 212747/SNSF_/Swiss National Science Foundation/Switzerland ; 2021YFA0909500//National Key Research and Development Program of China/ ; 32170080//National Natural Science Foundation of China/ ; //Shanghai Pilot Program for Basic Research - Shanghai Jiao Tong University/ ; 21K06336//KAKENHI/ ; 21/07038-0//São Paulo Research Foundation/ ; VI.Veni.202.130//NWO Talent/ ; MR/V022334/1//UKRI Future Leaders Fellowship/ ; 222676//USDA Evans-Allen Research/ ; F32AT011475/AT/NCCIH NIH HHS/United States ; DGE 21-46756//National Science Foundation Graduate Research Fellowship/ ; //University of Illinois/ ; 802736//European Union Horizon 2020/ ; 735867//Consejo Nacional de Ciencia y Tecnología/ ; //NWO Merian/ ; BB/T007222/1/BB_/Biotechnology and Biological Sciences Research Council/United Kingdom ; 101066127//European Union/ ; RYC2020-029240-I//Ministerio de Ciencia, Innovación y Universidades/ ; K12 GM068524/GM/NIGMS NIH HHS/United States ; //HZI POF IV Cooperativity and Creativity Project Call/ ; //Alexander von Humboldt-Stiftung/ ; EXC-2124/1-09.029_0//Cluster of Excellence: Controlling Microbes to Fight Infection/ ; NRF-2020R1A6A1A03044512//Korean Government (MSIT)/ ; 2022R1C1C2004118//National Research Foundation of Korea/ ; NE/T010959/1//Signals in the Soil/ ; CZIF2022-007203//Chan Zuckerberg Initiative Foundation/ ; 495740318//German Research Foundation/ ; ANR-24-CE20-7299-01//Agence Nationale de la Recherche/ ; ANR-17-EUR-0007//EUR Saclay Plant Sciences-SPS/ ; 101072485//European Union's Horizon/ ; //European Regional Development Fund/ ; 802736//European Union's Horizon 2020/ ; EP/X03142X/1//United Kingdom Research and Innovation/ ; //Swiss Federal Government/ ; PS00349981//Fulbright/ ; 398967434-TRR 261//Deutsche Forschungsgemeinschaft/ ; DM60066//Italian Ministry of Research/ ; 1229222N//Research Foundation-Flanders (FWO)/ ; R01-GM146224/GM/NIGMS NIH HHS/United States ; NA22NOS4200050//NERRS/ ; BB/V005723/2//BBSRC/ ; 1347411//CONAHCYT/ ; T32GM136583/NH/NIH HHS/United States ; 101130799//European Union's Horizon/ ; CFB 2.0//Novo Nordisk Foundation/ ; //Basic Science Research Program/ ; NRF-RS-2024-00352229//Ministry of Science and ICT/ ; NRF 2018R1A5A2023127//Korea Government (MSIT)/ ; //Werner Siemens Foundation/ ; OCENW.XL21.XL21.088//NWO-XL/ ; DNRF137//Danish National Research Foundation/ ; NNF19SA0059360//Novo Nordisk Foundation INTERACT/ ; CBET-2032243//U.S. National Science Foundation/ ; //Delta Stewardship Council Delta Science Program/ ; //European Union's Horizon 2020 Research/ ; 852600//Innovation Program ERC St/ ; 101072485//European Union's Horizon Europe/ ; //Conahcyt Mexico International PhD Studentship/ ; //Strathclyde University Global Research Scholarship/ ; 3141-00013A//Innovation Fund Denmark/ ; K445/2022//Leibniz Association/ ; 23/01956-2//São Paulo Research Foundation/ ; DGE 2241144//NSF GRFP/ ; 024.004.014//MiCRop Consortium/ ; CF22-1239//Carlsberg Foundation/ ; 102022750//SINTEF/ ; 102029187//SEP AGREE/ ; 102024676-14//POS BIOINFO 2024/ ; 101106349//Marie Sklodowska-Curie/ ; 57/0009//Ministry of Education and Science of Ukraine/ ; //National Research Fund of Ukraine/ ; DE-AC02-05CH11231//U.S. Department of Energy/ ; //German Academic Scholarship Foundation/ ; OCENW.GROOT.2019.063//NWO-XL/ ; //Department of Biotechnology/ ; //University Grants Commission/ ; PROYEXCEL_00012//Spanish "Junta de Andalucía"/ ; GNT2021638//National Health and Medical Research Council/ ; DP230102668//Australian Research Council Discovery Project/ ; 101000794//SECRETed EU Project Horizon 2020/ ; 865738/ERC_/European Research Council/International ; T32-GM136629//Chemical-Biology Interface Training/ ; DGE 21-46756//National Science Foundation Graduate Research Fellowship/ ; 101055020-COMMUNITY//ERC Advanced/ ; 757173//Consejo Nacional de Ciencia y Tecnología/ ; //Horizon Europe Marie Skłodowska-Curie Actions Postdoctoral Fellowship/ ; 101099528//European Innovation Council/ ; 10062709//UK Innovation Funding Agency (UKRI)/ ; //Swedish Pharmaceutical Society PostDoc/ ; 205320_219638/SNSF_/Swiss National Science Foundation/Switzerland ; //Saarland University/ ; BB/X01097X/1//BBSRC Institute Strategic Program/ ; AUFF-E-2022-9-42//AUFF/ ; 101055020-COMMUNITY//ERC Advanced/ ; NNF22OC0079021//Novo Nordisk Foundation Postdoctoral Fellowship/ ; //Natural Science and Research Council of Canada/ ; TTU 09.826//German Center for Infection Research/ ; 10.55776/P 34036//Austrian Science Fund/ ; //Natural Sciences and Engineering Research Council of Canada Discovery/ ; DNRF137//Danish National Research Foundation CeMiSt/ ; },
abstract = {Specialized or secondary metabolites are small molecules of biological origin, often showing potent biological activities with applications in agriculture, engineering and medicine. Usually, the biosynthesis of these natural products is governed by sets of co-regulated and physically clustered genes known as biosynthetic gene clusters (BGCs). To share information about BGCs in a standardized and machine-readable way, the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard and repository was initiated in 2015. Since its conception, MIBiG has been regularly updated to expand data coverage and remain up to date with innovations in natural product research. Here, we describe MIBiG version 4.0, an extensive update to the data repository and the underlying data standard. In a massive community annotation effort, 267 contributors performed 8304 edits, creating 557 new entries and modifying 590 existing entries, resulting in a new total of 3059 curated entries in MIBiG. Particular attention was paid to ensuring high data quality, with automated data validation using a newly developed custom submission portal prototype, paired with a novel peer-reviewing model. MIBiG 4.0 also takes steps towards a rolling release model and a broader involvement of the scientific community. MIBiG 4.0 is accessible online at https://mibig.secondarymetabolites.org/.},
}

@article {pmid39385455,
year = {2024},
author = {Wu, H and Li, Q and Wu, JC},
title = {Bioinformatics-aided function exploration of GH29 fucosidases from human gut Parabacteroides.},
journal = {Glycobiology},
volume = {34},
number = {12},
pages = {},
doi = {10.1093/glycob/cwae086},
pmid = {39385455},
issn = {1460-2423},
support = {2023GDASZH-2023010102//GDAS' Project of Science and Technology Development/ ; SL2023A04J01435//Guangzhou Basic and Applied Basic Research Foundation/ ; 2022A1515110917//Guangdong Basic and Applied Basic Research Foundation/ ; 32302033//National Natural Science Foundation of China/ ; 2023A04J1494//Guangzhou Basic and Applied Basic Research Foundation/ ; 2022GDASZH-2022010110//GDAS' Project of Science and Technology Development/ ; },
mesh = {Humans ; *alpha-L-Fucosidase/metabolism/genetics/chemistry ; *Computational Biology ; Gastrointestinal Microbiome ; Bacteroidetes/enzymology/genetics ; Polysaccharides/metabolism/chemistry ; Substrate Specificity ; Mucins/metabolism/chemistry ; },
abstract = {Gut microbes produce α-l-fucosidases critical for utilizing human milk oligosaccharides, mucosal and dietary glycans. Although gut Parabacteroides have garnered attention for their impact on host health and disease, their CAZymes remain poorly studied. CAZome analysis of eleven gut Parabacteroides type strains revealed their capacity to degrade mucin O-glycans. Their abundance of GH29 fucosidases caught our attention, and we predicted the functional profiles of 46 GH29 fucosidases using in silico approaches. Our findings showed diverse linkages specificities and species-specific distributions, with over half of GH29 enzymes functioning as α1,3/4 fucosidases, essential for acting on Lewis antigen epitopes of mucin O-glycans. We further enzymatically validated 4 novel GH29 sequences from poorly characterized groups. PgoldGH29A (cluster37GH29BERT, GH29:75.1CUPP) does not act on tested natural substrates. PgoldGH29B (cluster1GH29BERT, GH29:84.1CUPP) functions as a strict α1,3/4 fucosidase. PgoldGH29C (cluster14GH29BERT, GH29:29.1CUPP) displays unprecedented substrate specificity for α1,2/3/4 disaccharides. PgoldGH29D (cluster4GH29BERT, GH29:6.2CUPP) acts on α1,2/3/4/6 linkages similar to enzymes from GH29:6.1CUPP but prefers disaccharides over trisaccharides. These results suggest that PgoldGH29B and PgoldGH29D can contribute to mucin O-glycan degradation via their α1,3/4 and α1,2 fucosidase activity, respectively, while the natural substrates of PgoldGH29A and PgoldGH29C may be irrelevant to host-glycans. These insights enhance our understanding of the ecological niches inhabited by gut Parabacteroides and may guide similar exploration in other intriguing gut microbial species.},
}

Humans
*alpha-L-Fucosidase/metabolism/genetics/chemistry
*Computational Biology
Gastrointestinal Microbiome
Bacteroidetes/enzymology/genetics
Polysaccharides/metabolism/chemistry
Substrate Specificity
Mucins/metabolism/chemistry

@article {pmid39655401,
year = {2024},
author = {Mohammadi, A and Adeli, Z and Atafar, Z and Sadrkhanlou, M and Partash, N},
title = {Survey of PM10 Values in Ambient Air and Mapping with GIS in Maragheh and Urmia City.},
journal = {Iranian biomedical journal},
volume = {28},
number = {7},
pages = {73},
pmid = {39655401},
issn = {2008-823X},
mesh = {*Particulate Matter/analysis ; *Geographic Information Systems ; *Environmental Monitoring/methods ; *Cities ; *Air Pollutants/analysis ; *Seasons ; Air Pollution/analysis ; },
abstract = {INTRODUCTION: The present study monitored particulate matter smaller than 10 microns (PM10) in ambient air in Maragheh and Urmia Cities.

METHODS AND MATERIALS: This study was conducted as a descriptive ecological study. A total of 30 sampling points were selected in each city, and PM10 values were measured using a portable dust measuring device. After determining the concentration of pollutants, mapping was performed using Arc GIS software to analyze the spatial trend of particulate matter in each city.

RESULTS: The results showed that the seasonal mean concentration of PM10 in Maragheh City ranged from 12 to 16 μg/m3, while in Urmia City, it ranged from 33 to 51 μg/m3. Additionally, the summer and winter seasons exhibited higher pollution levels in Maragheh and Urmia, respectively. According to the World Health Organization guidelines established in 2021, which recommend a maximum of 15 μg/m3 of PM10 over a 24-hour period, Maragheh City demonstrates cleaner air quality. In contrast, Urmia City experience unacceptable pollution levels on most days. An analysis of the spatial trends of PM10, based on pollutant mapping, revealed that pollution levels were higher at the city's entry and exit points, where traffic emissions are prevalent. In Urmia, the central, eastern, and western areas exhibited increased pollution due to vehicular traffic and fuel combustion during the cold months.

CONCLUSION AND DISCUSSION: This study demonstrates that PM10, a particulate matter associated with air quality, is significantly polluted in Urmia City, while the air quality in Maragheh was assessed as clean. The primary sources of these particles include vehicular traffic, the burning of fossil fuels, and dust carried by the wind. Therefore, additional research is recommended, along with the enhancement of green spaces and facilities.},
}

*Particulate Matter/analysis
*Geographic Information Systems
*Environmental Monitoring/methods
*Cities
*Air Pollutants/analysis
*Seasons
Air Pollution/analysis

@article {pmid39654499,
year = {2024},
author = {Amiri, Z and Moradi, A and Mosa Farkhani, E},
title = {Predictors of Lesion Size among People with Cutaneous Leishmaniasis (2016-2021): A Multilevel Analysis.},
journal = {Iranian biomedical journal},
volume = {28},
number = {7},
pages = {67},
pmid = {39654499},
issn = {2008-823X},
mesh = {Humans ; *Leishmaniasis, Cutaneous/epidemiology ; Iran/epidemiology ; Female ; Male ; Adult ; Cross-Sectional Studies ; *Multilevel Analysis ; Middle Aged ; Adolescent ; Young Adult ; Child ; Child, Preschool ; Risk Factors ; Incidence ; Infant ; Aged ; },
abstract = {INTRODUCTION: Cutaneous leishmaniasis is one of Iran's most important endemic diseases and the second parasitic disease transmitted by arthropods after malaria in Iran. About 20,000 new cases of CL are reported from different parts of Iran annually. Since infectious disease risk factors operate simultaneously at multiple levels and ecological data are typically available at different geographic scales, multilevel modeling serves as a valuable tool for the epidemiological investigation of disease transmission. Given the prevalence of Leishmania disease in the population, this study was conducted to investigate the predictors of lesion size among individuals with cutaneous leishmaniasis.

METHODS AND MATERIALS: This population-based cross-sectional study was conducted using data from 7,433 patients with CL who visited health centers, clinics, outpatient facilities, and hospitals in Khorasan Razavi province, Iran, from 2016 to 2021. Variables related to CL were assessed using mixed or multilevel effects models with two levels of analysis: individual and city. Geographic Information Systems (GIS) techniques were utilized to map the distribution of CL cases in Mashhad City. Poisson multiple regression was used to investigate the relationship between climatic variables and leishmaniasis incidence. Data management and analysis were performed using Stata 11.

RESULTS: The mean age was significantly higher in the group with more extensive lesions (37.60 years) compared to the group with smaller lesions (32.10 years; p = 0.001). The incidence of CL varied across different cities during the study period. Binaloud City had the highest average annual incidence at 208.6 per 100,000 people, while Bakharz City had the lowest at 2.3 per 100,000. According to multilevel analysis, significant associations were found between lesion size and catching the disease from family members (AOR = 0.88; p = 0.23), female gender (AOR = 0.62; p = 0.001), and location of injury (AOR = 1.66; p = 0.001). Poisson regression found a statistically significant association between average humidity and the incidence rate ratio of CL.

CONCLUSION AND DISCUSSION: This study highlights the spatial heterogeneity in CL transmission across different cities in Northeast Iran. Larger lesion size was associated with intra-household transmission, female gender, and lesions on the lower limbs. Environmental factors, notably higher humidity levels, also significantly influenced the incidence rate of CL. Targeted interventions addressing household-level transmission, gender-specific risk factors, and climatic influences are crucial for effective disease control and prevention strategies.},
}

Humans
*Leishmaniasis, Cutaneous/epidemiology
Iran/epidemiology
Female
Male
Adult
Cross-Sectional Studies
*Multilevel Analysis
Middle Aged
Adolescent
Young Adult
Child
Child, Preschool
Risk Factors
Incidence
Infant
Aged

@article {pmid39653494,
year = {2024},
author = {Lee, HB and Nguyen, TTT and Noh, SJ and Kim, DH and Kang, KH and Kim, SJ and Kirk, PM and Avery, SV and Medina, A and Hallsworth, JE},
title = {Aspergillus ullungdoensis sp. nov., Penicillium jeongsukae sp. nov., and other fungi from Korea.},
journal = {Fungal biology},
volume = {128},
number = {8 Pt B},
pages = {2479-2492},
doi = {10.1016/j.funbio.2024.05.014},
pmid = {39653494},
issn = {1878-6146},
mesh = {Republic of Korea ; *Phylogeny ; *Penicillium/isolation & purification/classification/genetics ; DNA, Fungal/genetics ; Soil Microbiology ; Aspergillus/isolation & purification/classification/genetics ; Sequence Analysis, DNA ; Cluster Analysis ; DNA, Ribosomal Spacer/genetics/chemistry ; },
abstract = {Eurotiales fungi are thought to be distributed worldwide but there is a paucity of information about their occurrence on diverse substrates or hosts and at specific localities. Some of the Eurotiales, including Aspergillus and Penicillium species, produce an array of secondary metabolites of use for agricultural, medicinal, and pharmaceutical applications. Here, we carried out a survey of the Eurotiales in South Korea, focusing on soil, freshwater, and plants (dried persimmon fruits and seeds of Perilla frutescens, known commonly as shiso). We obtained 11 species that-based on morphology, physiology, and multi-locus (ITS, BenA, CaM, and RPB2) phylogenetic analyses-include two new species, Aspergillus ullungdoensis sp. nov. and Penicillium jeongsukae sp. nov., and nine species that were known, but previously not described in South Korea, Aspergillus aculeatinus, Aspergillus aurantiacoflavus, Aspergillus croceiaffinis, Aspergillus pseudoviridinutans, Aspergillus uvarum, Penicillium ferraniaense, Penicillium glaucoroseum, Penicillium sajarovii, and one, Penicillium charlesii, that was isolated from previously unknown host, woodlouse (Porcellio scaber). We believe that biodiversity survey and identifying new species can contribute to set a baseline for future changes in the context of humanitarian crises such as climate change.},
}

Republic of Korea
*Phylogeny
*Penicillium/isolation & purification/classification/genetics
DNA, Fungal/genetics
Soil Microbiology
Aspergillus/isolation & purification/classification/genetics
Sequence Analysis, DNA
Cluster Analysis
DNA, Ribosomal Spacer/genetics/chemistry

@article {pmid39652754,
year = {2024},
author = {Pillay, R and Watson, JEM and Hansen, AJ and Burns, P and Virnig, ALS and Supples, C and Armenteras, D and González-Del-Pliego, P and Aragon-Osejo, J and A Jantz, P and Ervin, J and Goetz, SJ and Venter, O},
title = {Global rarity of high-integrity tropical rainforests for threatened and declining terrestrial vertebrates.},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
volume = {121},
number = {51},
pages = {e2413325121},
doi = {10.1073/pnas.2413325121},
pmid = {39652754},
issn = {1091-6490},
support = {NNX17AG51G/NASA/NASA/United States ; NNL15AA03/NASA/NASA/United States ; 80NSSC18K0338/NASA/NASA/United States ; },
mesh = {*Rainforest ; Animals ; *Biodiversity ; *Vertebrates/physiology ; *Conservation of Natural Resources/methods ; Tropical Climate ; Endangered Species ; Ecosystem ; },
abstract = {Structurally intact native forests free from major human pressures are vitally important habitats for the persistence of forest biodiversity. However, the extent of such high-integrity forest habitats remaining for biodiversity is unknown. Here, we quantify the amount of high-integrity tropical rainforests, as a fraction of total forest cover, within the geographic ranges of 16,396 species of terrestrial vertebrates worldwide. We found up to 90% of the humid tropical ranges of forest-dependent vertebrates was encompassed by forest cover. Concerningly, however, merely 25% of these remaining rainforests are of high integrity. Forest-dependent species that are threatened and declining and species with small geographic ranges have disproportionately low proportions of high-integrity forest habitat left. Our work brings much needed attention to the poor quality of much of the forest estate remaining for biodiversity across the humid tropics. The targeted preservation of the world's remaining high-integrity tropical rainforests that are currently unprotected is a critical conservation priority that may help alleviate the biodiversity crisis in these hyperdiverse and irreplaceable ecosystems. Enhanced efforts worldwide to preserve tropical rainforest integrity are essential to meet the targets of the Convention on Biological Diversity's 2022 Kunming-Montreal Global Biodiversity Framework which aims to achieve near zero loss of high biodiversity importance areas (including ecosystems of high integrity) by 2030.},
}

*Rainforest
Animals
*Biodiversity
*Vertebrates/physiology
*Conservation of Natural Resources/methods
Tropical Climate
Endangered Species
Ecosystem

@article {pmid39649625,
year = {2024},
author = {Boyes, D and Crowley, LC and Hutchinson, F and Wawman, DC and , and , and , and , and , and , and , },
title = {The genome sequence of the Broad-barred Knot-horn, Acrobasis consociella (Hübner, 1813).},
journal = {Wellcome open research},
volume = {9},
number = {},
pages = {429},
doi = {10.12688/wellcomeopenres.21553.1},
pmid = {39649625},
issn = {2398-502X},
abstract = {We present a genome assembly from one female Acrobasis consociella (the Broad-barred Knot-horn; Arthropoda; Insecta; Lepidoptera; Pyralidae). The genome sequence is 598.4 megabases in span. Most of the assembly is scaffolded into 31 chromosomal pseudomolecules, including the Z and W sex chromosomes. The mitochondrial genome has also been assembled and is 15.22 kilobases in length.},
}

@article {pmid39647412,
year = {2024},
author = {He, T and Xie, J and Jin, L and Zhao, J and Zhang, X and Liu, H and Li, XD},
title = {Seasonal dynamics of the phage-bacterium linkage and associated antibiotic resistome in airborne PM2.5 of urban areas.},
journal = {Environment international},
volume = {194},
number = {},
pages = {109155},
doi = {10.1016/j.envint.2024.109155},
pmid = {39647412},
issn = {1873-6750},
abstract = {Inhalable microorganisms in airborne fine particulate matter (PM2.5), including bacteria and phages, are major carriers of antibiotic resistance genes (ARGs) with strong ecological linkages and potential health implications for urban populations. A full-spectrum study on ARG carriers and phage-bacterium linkages will shed light on the environmental processes of antibiotic resistance from airborne dissemination to the human lung microbiome. Our metagenomic study reveals the seasonal dynamics of phage communities in PM2.5, their impacts on clinically important ARGs, and potential implications for the human respiratory microbiome in selected cities of China. Gene-sharing network comparisons show that air harbours a distinct phage community connected to human- and water-associated viromes, with 57 % of the predicted hosts being potential bacterial pathogens. The ARGs of common antibiotics, e.g., peptide and tetracycline, dominate both the antibiotic resistome associated with bacteria and phages in PM2.5. Over 60 % of the predicted hosts of vARG-carrying phages are potential bacterial pathogens, and about 67 % of these hosts have not been discovered as direct carriers of the same ARGs. The profiles of ARG-carrying phages are distinct among urban sites, but show a significant enrichment in abundance, diversity, temperate lifestyle, and matches of CRISPR (short for 'clustered regularly interspaced short palindromic repeats') to identified bacterial genomes in winter and spring. Moreover, phages putatively carry 52 % of the total mobile genetic element (MGE)-ARG pairs with a unique 'flu season' pattern in urban areas. This study highlights the role that phages play in the airborne dissemination of ARGs and their delivery of ARGs to specific opportunistic pathogens in human lungs, independent of other pathways of horizontal gene transfer. Natural and anthropogenic stressors, particularly wind speed, UV index, and level of ozone, potentially explained over 80 % of the seasonal dynamics of phage-bacterial pathogen linkages on antibiotic resistance. Therefore, understanding the phage-host linkages in airborne PM2.5, the full-spectrum of antibiotic resistomes, and the potential human pathogens involved, will be of benefit to protect human health in urban areas.},
}

@article {pmid39644634,
year = {2024},
author = {Xie, Y and Guo, J and Fan, Q and Huang, S and Qi, W and Cao, X and Peng, J and Chen, Y and Chen, M},
title = {High-density sampling reveals the occurrence, levels and transport flux of 15 polycyclic aromatic hydrocarbons derivatives (PAHs-d) along the Yangtze River.},
journal = {The Science of the total environment},
volume = {958},
number = {},
pages = {177907},
doi = {10.1016/j.scitotenv.2024.177907},
pmid = {39644634},
issn = {1879-1026},
abstract = {Polycyclic aromatic hydrocarbons derivatives (PAHs-d) have higher toxicity levels compared to its parent polycyclic aromatic hydrocarbons (PPAHs). Their partitioning in different media and large-scale transport patterns in rivers remain largely unknown. This study investigated the occurrence of 15 PAHs-d and 19 PPAHs in water and suspended particulate matter (SPM) of the Yangtze River between 2019 and 2020. The range of Σ15PAHs-d concentrations was 20.54 to 2010.03 ng·L[-1] in water and 0.62 to 29.80 μg·g[-1] in SPM. The primary PAHs-d components were 2,6-dimethylnaphthalene, 2-methylnaphthalene, and anthraquinone. The range of Σ19PPAHs concentrations in water and SPM was 34.89 to 739.53 ng·L[-1] and 0.37 to 204.62 μg·g[-1], respectively. And low-ring PAHs-d and PPAHs were more prevalent in water than SPM. Partitioning behaviors indicated that PAHs-d and PPAHs were more readily partitioned into water and SPM during normal and dry periods, respectively. The concentrations of PAHs-d saw significant changes in their spatial distribution, which rose in water and reduced in SPM in downstream of the Three Gorges Dam. This is due to the dam's blocking effect on sediment transport. Positive matrix factorization source analysis revealed biomass combustion upstream and vehicle emissions downstream as primary sources, shaped by the evolving energy consumption patterns of urban areas situated around the Yangtze River. The annual fluxes of PAHs-d in water and SPM of the Yangtze River were 90.40 t·yr[-1] and 11.95 t·yr[-1], representing 88.3 % and 11.7 % of the overall PAHs-d fluxes, respectively. The total fluxes of PAHs-d and PPAHs in water and SPM tended to increase spatially along the river, with growth rates exceeding 76 and 24 times, respectively. Interception within the Three Gorges Reservoir area has resulted in the differences in the concentration and transport distribution of PAHs-d and PPAHs upstream and downstream, which play important roles in reducing PAHs-d and PPAHs entry into the sea. Future studies on PAHs-d in Yangtze River basin tributaries and estuaries are essential.},
}

@article {pmid39643871,
year = {2024},
author = {Zhang, W and Jin, Z and Huang, R and Huang, W and Li, L and He, Y and Zhou, J and Tian, C and Xiao, L and Li, P and Quan, M and Zhang, D and Du, Q},
title = {Multi-omics analysis reveals genetic architecture and local adaptation of coumarins metabolites in Populus.},
journal = {BMC plant biology},
volume = {24},
number = {1},
pages = {1170},
pmid = {39643871},
issn = {1471-2229},
support = {No. 2021ZD0008//Major Science and Technology project of Inner Mongolia Autonomous Region/ ; No. 2021ZD0008//Major Science and Technology project of Inner Mongolia Autonomous Region/ ; No. 6212021//Project of the Natural Science Foundation of Beijing Municipality/ ; QNTD202305//Fundamental Research Funds for Central Universities of the Central South University/ ; },
mesh = {*Populus/genetics/metabolism ; *Coumarins/metabolism ; *Polymorphism, Single Nucleotide ; *Quantitative Trait Loci ; Adaptation, Physiological/genetics ; Gene Expression Regulation, Plant ; Genes, Plant ; Multiomics ; },
abstract = {BACKGROUND: Accumulation of coumarins plays key roles in response to immune and abiotic stress in plants, but the genetic adaptation basis of controlling coumarins in perennial woody plants remain unclear.

RESULTS: We detected 792 SNPs within 334 genes that were significantly associated with the phenotypic variations of 15 single-metabolic traits and multiple comprehensive index, such as principal components (PCs) of coumarins metabolites. Expression quantitative trait locus mapping uncovered that 337 eQTLs associated with the expression levels of 132 associated genes. Selective sweep revealed 55 candidate genes have potential selective signature among three geographical populations, highlighting that the coumarins biosynthesis have been encountered forceful local adaptation. Furthermore, we constructed a genetic network of seven candidate genes that coordinately regulate coumarins biosynthesis, revealing the multiple regulatory patterns affecting coumarins accumulation in Populus tomentosa. Validation of candidate gene variations in a drought-tolerated population and DUF538 heterologous transformation experiments verified the function of candidate genes and their roles in adapting to the different geographical conditions in poplar.

CONCLUSIONS: Our study uncovered the genetic regulation of the coumarins metabolic biosynthesis of Populus, and offered potential clues for drought-tolerance evaluation and regional improvement in woody plants.},
}

*Populus/genetics/metabolism
*Coumarins/metabolism
*Polymorphism, Single Nucleotide
*Quantitative Trait Loci
Adaptation, Physiological/genetics
Gene Expression Regulation, Plant
Genes, Plant
Multiomics

@article {pmid39642727,
year = {2024},
author = {Mendrik, F and Hackney, CR and Cumming, VM and Waller, C and Hak, D and Dorrell, R and Hung, NN and Parsons, DR},
title = {The transport and vertical distribution of microplastics in the Mekong River, SE Asia.},
journal = {Journal of hazardous materials},
volume = {484},
number = {},
pages = {136762},
doi = {10.1016/j.jhazmat.2024.136762},
pmid = {39642727},
issn = {1873-3336},
abstract = {Rivers are primary vectors of plastic debris to oceans, but sources, transport mechanisms, and fate of fluvial microplastics (<5 mm) remain poorly understood, impeding accurate predictions of microplastic flux, ecological risk and socio-economic impacts. We report on microplastic concentrations, characteristics and dynamics in the Mekong River, one of the world's largest and polluting rivers, in Cambodia and Vietnam. Sampling throughout the water column at multiple localities detected an average of 24 microplastics m[-3] (0.073 mg l[-1]). Concentrations increased downstream from rural Kampi, Cambodia (344 km from river mouth; 2 microplastics m[-3,] 0.006 mg l[-1]), to Can Tho, Vietnam (83 km from river mouth; 64 microplastics m[-3], 0.182 mg l[-1]) with most microplastics being fibres (53 %), followed by fragments (44 %) and the most common polymer being polyethylene terephthalate (PET) or polyester. Pathways of microplastic pollution are expected to be from urban wastewater highlighting the need for improved wastewater treatment in this region. On average, 86 % of microplastics are transported within the water column and consequently we identified an optimum sampling depth capturing a representative flux value, highlighting that sampling only the water surface substantially biases microplastic concentration predictions. Additionally, microplastic abundance does not linearly follow discharge changes during annual monsoonal floods or mirror siliciclastic sediment transport, as microplastic concentrations decrease rapidly during higher monsoon flows. The findings reveal complex microplastic transport in large rivers and call for improved sampling methods and predictive models to better assess environmental risk and guide policy.},
}

@article {pmid39642364,
year = {2024},
author = {Lee, TY and Chen, CH and Chen, IM and Chen, HC and Liu, CM and Wu, SI and Hsiao, CK and Kuo, PH},
title = {Dynamic Bidirectional Associations Between Global Positioning System Mobility and Ecological Momentary Assessment of Mood Symptoms in Mood Disorders: Prospective Cohort Study.},
journal = {Journal of medical Internet research},
volume = {26},
number = {},
pages = {e55635},
doi = {10.2196/55635},
pmid = {39642364},
issn = {1438-8871},
mesh = {Humans ; *Geographic Information Systems ; *Ecological Momentary Assessment ; Prospective Studies ; Male ; Adult ; Female ; Middle Aged ; *Mood Disorders/psychology ; Smartphone/statistics & numerical data ; Affect ; Mobile Applications ; },
abstract = {BACKGROUND: Although significant research has explored the digital phenotype in mood disorders, the time-lagged and bidirectional relationship between mood and global positioning system (GPS) mobility remains relatively unexplored. Leveraging the widespread use of smartphones, we examined correlations between mood and behavioral changes, which could inform future scalable interventions and personalized mental health monitoring.

OBJECTIVE: This study aims to investigate the bidirectional time lag relationships between passive GPS data and active ecological momentary assessment (EMA) data collected via smartphone app technology.

METHODS: Between March 2020 and May 2022, we recruited 45 participants (mean age 42.3 years, SD 12.1 years) who were followed up for 6 months: 35 individuals diagnosed with mood disorders referred by psychiatrists and 10 healthy control participants. This resulted in a total of 5248 person-days of data. Over 6 months, we collected 2 types of smartphone data: passive data on movement patterns with nearly 100,000 GPS data points per individual and active data through EMA capturing daily mood levels, including fatigue, irritability, depressed, and manic mood. Our study is limited to Android users due to operating system constraints.

RESULTS: Our findings revealed a significant negative correlation between normalized entropy (r=-0.353; P=.04) and weekly depressed mood as well as between location variance (r=-0.364; P=.03) and depressed mood. In participants with mood disorders, we observed bidirectional time-lagged associations. Specifically, changes in homestay were positively associated with fatigue (β=0.256; P=.03), depressed mood (β=0.235; P=.01), and irritability (β=0.149; P=.03). A decrease in location variance was significantly associated with higher depressed mood the following day (β=-0.015; P=.009). Conversely, an increase in depressed mood was significantly associated with reduced location variance the next day (β=-0.869; P<.001). These findings suggest a dynamic interplay between mood symptoms and mobility patterns.

CONCLUSIONS: This study demonstrates the potential of utilizing active EMA data to assess mood levels and passive GPS data to analyze mobility behaviors, with implications for managing disease progression in patients. Monitoring location variance and homestay can provide valuable insights into this process. The daily use of smartphones has proven to be a convenient method for monitoring patients' conditions. Interventions should prioritize promoting physical movement while discouraging prolonged periods of staying at home.},
}

Humans
*Geographic Information Systems
*Ecological Momentary Assessment
Prospective Studies
Male
Adult
Female
Middle Aged
*Mood Disorders/psychology
Smartphone/statistics & numerical data
Affect
Mobile Applications

@article {pmid39638881,
year = {2024},
author = {Vojteková, J and Janizadeh, S and Vojtek, M and Tirpáková, A and Ruttkay, M and Petrovič, F},
title = {Prediction of potential occurrence of historical objects with defensive function in Slovakia using machine learning approach.},
journal = {Scientific reports},
volume = {14},
number = {1},
pages = {30350},
pmid = {39638881},
issn = {2045-2322},
support = {033UKF-4/2023//Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR/ ; },
abstract = {In this article, we aim at the prediction of possible locations of already defunct historical objects with a defensive function (HODFs) in Slovakia, which have not been found and documented so far, using three machine learning methods. Specifically, we used the support vector machine, k-nearest neighbors, and random forest algorithms, which were trained based on the following five factors influencing the possible occurrence of HODFs: elevation, distance from a river, distance from a settlement, lithological rock type, and type of representative geoecosystems. Training and testing datasets were based on a database of already documented 605 HODFs, which were divided into 70% of training samples and 30% of testing samples. All of the three models reached the AUC-ROC value over 0.74 based on the testing dataset. The best performance was recorded by the random forest predictive model with the AUC-ROC value equal to 0.79. The results of the random forest model were also validated with the recently documented HODFs via the archeological research.},
}

@article {pmid39636475,
year = {2024},
author = {Ganie, PA and Posti, R and Bharti, VS and Sehgal, VK and Sarma, D and Pandey, PK},
title = {Erosion landscape characterization in the Himalayan basin: insights from geospatial data and multi-criteria evaluation.},
journal = {Environmental monitoring and assessment},
volume = {197},
number = {1},
pages = {29},
pmid = {39636475},
issn = {1573-2959},
mesh = {India ; *Environmental Monitoring ; *Rivers/chemistry ; *Geographic Information Systems ; Soil Erosion ; Conservation of Natural Resources ; Hydrology ; },
abstract = {In regions characterized by mountainous landscapes, such as watersheds with high elevations, steep inclines, and rugged terrains, there exists an inherent susceptibility to water-induced soil erosion. This susceptibility underscores the importance of identifying areas prone to erosion to mitigate the loss of valuable natural resources and ensure their preservation over time. In response to this need, the current research employed a combination of four multi-criteria decision-making (MCDM) models, namely TOPSIS-AHP, VIKOR-AHP, ARAS-AHP, and CODAS-AHP, for the identification of areas susceptible to soil erosion within the Himalayan River basin of Nandakini, Uttarakhand, India. This identification was facilitated through the utilization of remote sensing and geospatial technologies. The study considered a total of 19 prioritization parameters that included morphological, topo-hydrological, climatic, and environmental factors specific to the Nandakini catchment for the purpose of prioritization modeling. The adoption of morphometric parameters in depicting the geological structures and hydrodynamic behavior of the river basin proves to be a crucial approach in locales where hydrological data may be scarce. The investigation delineated twenty watersheds within the catchment by employing SRTM DEM, SOI toposheets, and Geographic Information Systems (GIS), calculating the catchment's total area to be approximately 540.98 km[2]. The analysis determined that the catchment is classified as a 6th-order catchment, exhibiting mainly a sub-dendritic to dendritic drainage pattern. It was identified that the catchment is vulnerable to flooding and subsequent gully erosion due to the slow movement of surface runoff. Furthermore, the catchment's elongated shape and the compactness coefficient suggest a delayed peak runoff. The drainage texture ranged from very coarse to coarse, and the relief characteristics highlighted that the watersheds within the catchment possess a high relief ratio, thereby increasing their erosion vulnerability. Topo-hydrological indices revealed significant topographic variability and spatial differences in water availability and erosion potential across the basin. The efficacy of the MCDM models was evaluated through the Spearman's correlation coefficient test, alongside indices of intensity and percentage of change, to validate the findings. The ARAS-AHP and CODAS-AHP models were found to exhibit superior efficiency and higher accuracy relative to the other methods assessed. The insights gained from the ARAS-AHP and CODAS-AHP models are instrumental in the development of strategies for sustainable catchment management plans and inform decision-making processes regarding water resources management within the catchment.},
}

India
*Environmental Monitoring
*Rivers/chemistry
*Geographic Information Systems
Soil Erosion
Conservation of Natural Resources
Hydrology

@article {pmid39576832,
year = {2024},
author = {Devadhasan, A and Kolodny, O and Carja, O},
title = {Competition for resources can reshape the evolutionary properties of spatial structure.},
journal = {PLoS computational biology},
volume = {20},
number = {11},
pages = {e1012542},
doi = {10.1371/journal.pcbi.1012542},
pmid = {39576832},
issn = {1553-7358},
mesh = {*Ecosystem ; Humans ; *Biological Evolution ; Computational Biology ; Mutation ; Models, Biological ; Computer Simulation ; },
abstract = {Many evolving ecosystems have spatial structures that can be conceptualized as networks, with nodes representing individuals or homogeneous subpopulations and links the patterns of spread between them. Prior models of evolution on networks do not take ecological niche differences and eco-evolutionary interplay into account. Here, we combine a resource competition model with evolutionary graph theory to study how heterogeneous topological structure shapes evolutionary dynamics under global frequency-dependent ecological interactions. We find that the addition of ecological competition for resources can produce a reversal of roles between amplifier and suppressor networks for deleterious mutants entering the population. We show that this effect is a nonlinear function of ecological niche overlap and discuss intuition for the observed dynamics using simulations and analytical approximations. We use these theoretical results together with spatial representations from imaging data to show that, for ductal carcinoma, where tumor growth is highly spatially constrained, with cells confined to a tree-like network of ducts, the topological structure can lead to higher rates of deleterious mutant hitchhiking with metabolic driver mutations, compared to tumors characterized by different spatial topologies.},
}

*Ecosystem
Humans
*Biological Evolution
Computational Biology
Mutation
Models, Biological
Computer Simulation

@article {pmid39635120,
year = {2024},
author = {Qiu, Y and He, Z and Yu, X and Jia, G and Wang, Y},
title = {Analysis of factors influencing groundwater drought in the Loess zone of China.},
journal = {iScience},
volume = {27},
number = {10},
pages = {110929},
pmid = {39635120},
issn = {2589-0042},
abstract = {Understanding the characteristics and factors influencing groundwater resources is important for regional water resources management. The Gravity Recovery and Climate Experiment (GRACE)-based groundwater conditions were used to analyze the spatiotemporal characteristics of and the factors influencing groundwater storage (GWS) distribution in the Loess zone of the Yellow River Basin. The results revealed that the spatiotemporal distribution of GWS anomalies in the Loess zone of China was best explained by the first three components of the empirical orthogonal function (EOF), representing 85.6% of the total variance. The normalized difference vegetation index (NDVI) was significantly correlated with groundwater drought (p < 0.05). In addition, NDVI and evapotranspiration (ET) were the dominant factors influencing groundwater drought. NDVI was the dominant influencing factor in 67% and 80% of the total study area between 2002-2014 and 2015-2021, respectively. This study provides important guidance for a future ecological restoration plan in the Loess zone.},
}

@article {pmid39627996,
year = {2024},
author = {Rodman, KC and Bradford, JB and Formanack, AM and Fulé, PZ and Huffman, DW and Kolb, TE and Miller-Ter Kuile, AT and Normandin, DP and Ogle, K and Pedersen, RJ and Schlaepfer, DR and Stoddard, MT and Waltz, AEM},
title = {Restoration treatments enhance tree growth and alter climatic constraints during extreme drought.},
journal = {Ecological applications : a publication of the Ecological Society of America},
volume = {},
number = {},
pages = {e3072},
doi = {10.1002/eap.3072},
pmid = {39627996},
issn = {1051-0761},
support = {22-DG-11030000-012//U.S. Forest Service/ ; },
abstract = {The frequency and severity of drought events are predicted to increase due to anthropogenic climate change, with cascading effects across forested ecosystems. Management activities such as forest thinning and prescribed burning, which are often intended to mitigate fire hazard and restore ecosystem processes, may also help promote tree resistance to drought. However, it is unclear whether these treatments remain effective during the most severe drought conditions or whether their impacts differ across environmental gradients. We used tree-ring data from a system of replicated, long-term (>20 years) experiments in the southwestern United States to evaluate the effects of forest restoration treatments (i.e., evidence-based thinning and burning) on annual growth rates (i.e., basal area increment; BAI) of ponderosa pine (Pinus ponderosa), a broadly distributed and heavily managed species in western North America. The study sites were established at the onset of the most extreme drought event in at least 1200 years and span much of the climatic niche of Rocky Mountain ponderosa pine. Across sites, tree-level BAI increased due to treatment, where trees in treated units grew 133.1% faster than trees in paired, untreated units. Likewise, trees in treated units grew an average of 85.6% faster than their pre-treatment baseline levels (1985 to ca. 2000), despite warm, dry conditions in the post-treatment period (ca. 2000-2018). Variation in the local competitive environment promoted variation in BAI, and larger trees were the fastest-growing individuals, irrespective of treatment. Tree thinning and prescribed fire altered the climatic constraints on growth, decreasing the effects of belowground moisture availability and increasing the effects of atmospheric evaporative demand over multi-year timescales. Our results illustrate that restoration treatments can enhance tree-level growth across sites spanning ponderosa pine's climatic niche, even during recent, extreme drought events. However, shifting climatic constraints, combined with predicted increases in evaporative demand in the southwestern United States, suggest that the beneficial effects of such treatments on tree growth may wane over the upcoming decades.},
}

@article {pmid39570994,
year = {2024},
author = {Madden, WG and Jin, W and Lopman, B and Zufle, A and Dalziel, B and E Metcalf, CJ and Grenfell, BT and Lau, MSY},
title = {Deep neural networks for endemic measles dynamics: Comparative analysis and integration with mechanistic models.},
journal = {PLoS computational biology},
volume = {20},
number = {11},
pages = {e1012616},
doi = {10.1371/journal.pcbi.1012616},
pmid = {39570994},
issn = {1553-7358},
mesh = {*Measles/epidemiology ; Humans ; *Neural Networks, Computer ; *Disease Outbreaks/statistics & numerical data ; *Endemic Diseases/statistics & numerical data ; England/epidemiology ; Wales/epidemiology ; Computational Biology ; Forecasting/methods ; Epidemiological Models ; },
abstract = {Measles is an important infectious disease system both for its burden on public health and as an opportunity for studying nonlinear spatio-temporal disease dynamics. Traditional mechanistic models often struggle to fully capture the complex nonlinear spatio-temporal dynamics inherent in measles outbreaks. In this paper, we first develop a high-dimensional feed-forward neural network model with spatial features (SFNN) to forecast endemic measles outbreaks and systematically compare its predictive power with that of a classical mechanistic model (TSIR). We illustrate the utility of our model using England and Wales measles data from 1944-1965. These data present multiple modeling challenges due to the interplay between metapopulations, seasonal trends, and nonlinear dynamics related to demographic changes. Our results show that while the TSIR model yields similarly performant short-term (1 to 2 biweeks ahead) forecasts for highly populous cities, our neural network model (SFNN) consistently achieves lower root mean squared error (RMSE) across other forecasting windows. Furthermore, we show that our spatial-feature neural network model, without imposing mechanistic assumptions a priori, can uncover gravity-model-like spatial hierarchy of measles spread in which major cities play an important role in driving regional outbreaks. We then turn our attention to integrative approaches that combine mechanistic and machine learning models. Specifically, we investigate how the TSIR can be utilized to improve a state-of-the-art approach known as Physics-Informed-Neural-Networks (PINN) which explicitly combines compartmental models and neural networks. Our results show that the TSIR can facilitate the reconstruction of latent susceptible dynamics, thereby enhancing both forecasts in terms of mean absolute error (MAE) and parameter inference of measles dynamics within the PINN. In summary, our results show that appropriately designed neural network-based models can outperform traditional mechanistic models for short to long-term forecasts, while simultaneously providing mechanistic interpretability. Our work also provides valuable insights into more effectively integrating machine learning models with mechanistic models to enhance public health responses to measles and similar infectious disease systems.},
}

*Measles/epidemiology
Humans
*Neural Networks, Computer
*Disease Outbreaks/statistics & numerical data
*Endemic Diseases/statistics & numerical data
England/epidemiology
Wales/epidemiology
Computational Biology
Forecasting/methods
Epidemiological Models

@article {pmid38551211,
year = {2024},
author = {Groote-Woortmann, W and Korbel, K and Hose, GC},
title = {STYGOTOX: A Quality-Assessed Database of (Eco)Toxicological Data on Stygofauna and Other Aquatic Subterranean Organisms.},
journal = {Environmental toxicology and chemistry},
volume = {43},
number = {12},
pages = {2492-2500},
doi = {10.1002/etc.5856},
pmid = {38551211},
issn = {1552-8618},
support = {LP190100927//Australian Research Council/ ; },
mesh = {Animals ; *Water Pollutants, Chemical/toxicity ; *Aquatic Organisms/drug effects ; *Databases, Factual ; Environmental Monitoring ; Risk Assessment ; },
abstract = {We have compiled the toxicity data on stygofauna and other aquatic subterranean organisms in one (eco)toxicological database. A total of 46 studies were found, containing 472 toxic endpoints covering 43 different stressors. These compounds were tested on subterranean organisms from four phyla, 12 orders, 24 genera, and 55 species. The studies included were published between 1976 and December 2023 using fauna collected in 13 different countries. The suitability of the studies was assessed to indicate the completeness of reporting and their suitability for use in hazard and risk assessment. This compilation provides a valuable source of data for future development of toxicity testing protocols for groundwater organisms, and to support decision-making, ecological risk assessments and the derivation of water quality criteria for the protection of groundwater ecosystems. Environ Toxicol Chem 2024;43:2492-2500. © 2024 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.},
}

Animals
*Water Pollutants, Chemical/toxicity
*Aquatic Organisms/drug effects
*Databases, Factual
Environmental Monitoring
Risk Assessment

@article {pmid39627652,
year = {2024},
author = {Peltier, DMP and Carbone, MS and Ogle, K and Koch, GW and Richardson, AD},
title = {Decades-old carbon reserves are widespread among tree species, constrained only by sapwood longevity.},
journal = {The New phytologist},
volume = {},
number = {},
pages = {},
doi = {10.1111/nph.20310},
pmid = {39627652},
issn = {1469-8137},
support = {149//Save the Redwoods League/ ; 1936205//Division of Integrative Organismal Systems/ ; 2053337//Division of Integrative Organismal Systems/ ; 1832218//Division of Environmental Biology/ ; 2213599//Division of Environmental Biology/ ; },
abstract = {Carbon reserves are distributed throughout plant cells allowing past photosynthesis to fuel current metabolism. In trees, comparing the radiocarbon (Δ[14]C) of reserves to the atmospheric bomb spike can trace reserve ages. We synthesized Δ[14]C observations of stem reserves in nine tree species, fitting a new process model of reserve building. We asked how the distribution, mixing, and turnover of reserves vary across trees and species. We also explored how stress (drought and aridity) and disturbance (fire and bark beetles) perturb reserves. Given sufficient sapwood, young (< 1 yr) and old (20-60+ yr) reserves were simultaneously present in single trees, including 'prebomb' reserves in two conifers. The process model suggested that most reserves are deeply mixed (30.2 ± 21.7 rings) and then respired (2.7 ± 3.5-yr turnover time). Disturbance strongly increased Δ[14]C mean ages of reserves (+15-35 yr), while drought and aridity effects on mixing and turnover were species-dependent. Fire recovery in Sequoia sempervirens also appears to involve previously unobserved outward mixing of old reserves. Deep mixing and rapid turnover indicate most photosynthate is rapidly metabolized. Yet ecological variation in reserve ages is enormous, perhaps driven by stress and disturbance. Across species, maximum reserve ages appear primarily constrained by sapwood longevity, and thus old reserves are probably widespread.},
}

@article {pmid39481332,
year = {2025},
author = {Yao, M and Ren, A and Yang, X and Chen, L and Wang, X and van der Meer, W and van Loosdrecht, MCM and Liu, G and Pabst, M},
title = {Unveiling the influence of heating temperature on biofilm formation in shower hoses through multi-omics.},
journal = {Water research},
volume = {268},
number = {Pt B},
pages = {122704},
doi = {10.1016/j.watres.2024.122704},
pmid = {39481332},
issn = {1879-2448},
mesh = {*Biofilms ; Proteomics ; Heating ; Metagenomics ; Hot Temperature ; Metagenome ; Multiomics ; },
abstract = {Shower systems provide unique environments that are conducive to biofilm formation and the proliferation of pathogens. The water heating temperature is a delicate decision that can impact microbial growth, balancing safety and energy consumption. This study investigated the impact of different heating temperatures (39 °C, 45 °C, 51 °C and 58 °C) on the shower hose biofilm (exposed to a final water temperature of 39 °C) using controlled full-scale shower setups. Whole metagenome sequencing and metaproteomics were employed to unveil the microbial composition and protein expression profiles. Overall, the genes and enzymes associated with disinfectant resistance and biofilm formation appeared largely unaffected. However, metagenomic analysis revealed a sharp decline in the number of total (86,371 to 34,550) and unique genes (32,279 to 137) with the increase in hot water temperature, indicating a significant reduction of overall microbial complexity. None of the unique proteins were detected in the proteomics experiments, suggesting smaller variation among biofilms on the proteome level compared to genomic data. Furthermore, out of 43 pathogens detected by metagenomics, only 5 could actually be detected by metaproteomics. Most interestingly, our study indicates that 45 °C heating temperature may represent an optimal balance. It minimizes active biomass (ATP) and reduces the presence of pathogens while saving heating energy. Our study offered new insights into the impact of heating temperature on shower hose biofilm formation and proposed optimal parameters that ensure biosafety while conserving energy.},
}

*Biofilms
Proteomics
Heating
Metagenomics
Hot Temperature
Metagenome
Multiomics

@article {pmid39624726,
year = {2024},
author = {Tian, T and Zhang, X and Zhang, F and Huang, X and Li, M and Quan, Z and Wang, W and Lei, J and Wang, Y and Liu, Y and Wang, JH},
title = {Harnessing AI for advancing pathogenic microbiology: a bibliometric and topic modeling approach.},
journal = {Frontiers in microbiology},
volume = {15},
number = {},
pages = {1510139},
pmid = {39624726},
issn = {1664-302X},
abstract = {INTRODUCTION: The integration of artificial intelligence (AI) in pathogenic microbiology has accelerated research and innovation. This study aims to explore the evolution and trends of AI applications in this domain, providing insights into how AI is transforming research and practice in pathogenic microbiology.

METHODS: We employed bibliometric analysis and topic modeling to examine 27,420 publications from the Web of Science Core Collection, covering the period from 2010 to 2024. These methods enabled us to identify key trends, research areas, and the geographical distribution of research efforts.

RESULTS: Since 2016, there has been an exponential increase in AI-related publications, with significant contributions from China and the USA. Our analysis identified eight major AI application areas: pathogen detection, antibiotic resistance prediction, transmission modeling, genomic analysis, therapeutic optimization, ecological profiling, vaccine development, and data management systems. Notably, we found significant lexical overlaps between these areas, especially between drug resistance and vaccine development, suggesting an interconnected research landscape.

DISCUSSION: AI is increasingly moving from laboratory research to clinical applications, enhancing hospital operations and public health strategies. It plays a vital role in optimizing pathogen detection, improving diagnostic speed, treatment efficacy, and disease control, particularly through advancements in rapid antibiotic susceptibility testing and COVID-19 vaccine development. This study highlights the current status, progress, and challenges of AI in pathogenic microbiology, guiding future research directions, resource allocation, and policy-making.},
}

@article {pmid39622961,
year = {2024},
author = {Jeong, D and Hyun, JY and Marchenkova, T and Matiukhina, D and Cho, S and Lee, J and Kim, DY and Li, Y and Darman, Y and Min, MS and Bardyuk, V and Lee, Y and Pandey, P and Lee, H},
title = {Genetic insights and conservation strategies for Amur tigers in Southwest Primorye Russia.},
journal = {Scientific reports},
volume = {14},
number = {1},
pages = {29985},
pmid = {39622961},
issn = {2045-2322},
support = {550-20190003//Ministry of Environment of the Republic of Korea, Convention on Biological Diversity under Bio-Bridge Initiative/ ; 550-20190003//Ministry of Environment of the Republic of Korea, Convention on Biological Diversity under Bio-Bridge Initiative/ ; 550-20190003//Ministry of Environment of the Republic of Korea, Convention on Biological Diversity under Bio-Bridge Initiative/ ; 550-20190003//Ministry of Environment of the Republic of Korea, Convention on Biological Diversity under Bio-Bridge Initiative/ ; 550-20190003//Ministry of Environment of the Republic of Korea, Convention on Biological Diversity under Bio-Bridge Initiative/ ; 550-20190003//Ministry of Environment of the Republic of Korea, Convention on Biological Diversity under Bio-Bridge Initiative/ ; 550-20190003//Ministry of Environment of the Republic of Korea, Convention on Biological Diversity under Bio-Bridge Initiative/ ; 550-20190003//Ministry of Environment of the Republic of Korea, Convention on Biological Diversity under Bio-Bridge Initiative/ ; 5260-20190100//Brain Korea-21 programme/ ; 5260-20200100//Brain Korea-21 programme/ ; A0449-2020010//Brain Korea-21 programme/ ; 5260-20190100//Brain Korea-21 programme/ ; 5260-20200100//Brain Korea-21 programme/ ; A0449-2020010//Brain Korea-21 programme/ ; 5260-20190100//Brain Korea-21 programme/ ; 5260-20200100//Brain Korea-21 programme/ ; A0449-2020010//Brain Korea-21 programme/ ; Building Tumen River Corridor for Tigers and leopards: Genetic diversity of tigers and leopards using non-invasive technique 2022-2023//Tiger and Leopard Conservation Fund in Korea/ ; Building Tumen River Corridor for Tigers and leopards: Genetic diversity of tigers and leopards using non-invasive technique 2022-2023//Tiger and Leopard Conservation Fund in Korea/ ; Building Tumen River Corridor for Tigers and leopards: Genetic diversity of tigers and leopards using non-invasive technique 2022-2023//Tiger and Leopard Conservation Fund in Korea/ ; },
mesh = {Animals ; *Tigers/genetics ; *Conservation of Natural Resources ; *Genetic Variation ; *Microsatellite Repeats/genetics ; Male ; Female ; *DNA, Mitochondrial/genetics ; Russia ; Genetics, Population ; Population Density ; },
abstract = {Southwest Primorye hosts approximately 9% of the remaining wild Amur tiger population and represents hope for the revival of tigers in Northeast China and the Korean peninsula. Decades of conservation efforts have led to a significant increase in population size, from less than 10 individuals surviving in the region in 1996 to multiple folds today. However, while the population size has recovered since the mid-1900s, the effects of genetic depletion on evolutionary potential are not easily reversed. In this study, a non-invasive genetic analysis of the Amur tiger subpopulation in Southwest Primorye was conducted using microsatellite loci and mitochondrial genes to estimate genetic diversity, relatedness, and determine the impact of historical demographic dynamics. A total of 32 individuals (16 males, 15 females, and 1 unidentified sex) were identified, and signs of bottlenecks were detected, reflecting past demographic events. Low genetic variation observed in mitochondrial DNA also revealed genetic depletion within the population. Most individuals were found to be closely related to each other, raising concerns about inbreeding given the small population size and somewhat isolated environment from the main population in Sikhote-Alin. These findings emphasize the urgent need to establish ecological corridors to neighboring areas to restore genetic diversity and ensure the conservation of the Amur tiger population in Southwest Primorye.},
}

Animals
*Tigers/genetics
*Conservation of Natural Resources
*Genetic Variation
*Microsatellite Repeats/genetics
Male
Female
*DNA, Mitochondrial/genetics
Russia
Genetics, Population
Population Density

@article {pmid39581005,
year = {2024},
author = {Tinsley, E and Froidevaux, JSP and Jones, G},
title = {The location of solar farms within England's ecological landscape: Implications for biodiversity conservation.},
journal = {Journal of environmental management},
volume = {372},
number = {},
pages = {123372},
doi = {10.1016/j.jenvman.2024.123372},
pmid = {39581005},
issn = {1095-8630},
mesh = {*Biodiversity ; England ; *Conservation of Natural Resources ; *Ecosystem ; Solar Energy ; Farms ; Geographic Information Systems ; Ecology ; Agriculture ; },
abstract = {A global energy transition to using sustainable renewable sources is being driven by global agreements. Simultaneously there is a call for increased biodiversity conservation. This creates a green-green dilemma, where the expansion of renewables could lead to the demise of biodiversity if not carefully assessed, managed and monitored. Recognition of the dilemma is central to the development of Sustainable Development Goals. It is therefore important to understand whether renewable energy sources such as solar farms are being sited in areas where they have minimal impact on biodiversity. If solar farms were sited with minimal impacts on biodiversity, we hypothesised that they would be less likely to be sited close to ecologically sensitive areas than near random points. We used Geographic Information System methods to explore the density of solar photovoltaic (PV) farms in England and assessed their siting relative to sensitive ecological features, including priority habitat types, designated sites, and land conservation initiatives. We compared the area of 25 sensitive ecological features around solar farms and random points across three spatial scales (100 m, 1000 m, and 6000 m radius scales). Solar farms were distributed throughout England, with the highest concentration in South West England. Solar sites were primarily surrounded by habitats with anthropogenic influences, such as agricultural and urban settings. Priority habitats, such as woodland, grassland, wetland and heathland, were more extensive around random points across spatial scales (except for woodland at the largest scale). Most designated sites were significantly more extensive around random points. We conclude that, under current planning regulations, solar sites in England are being placed appropriately with regard to sensitive ecological habitats, and are often sited in areas already impacted by farming and development. Adaptive planning should be implemented to ensure that the evolving research around biodiversity and solar farms is incorporated into decision making, and monitoring is completed across the lifespan of solar farms to assess impacts and effective mitigation.},
}

*Biodiversity
England
*Conservation of Natural Resources
*Ecosystem
Solar Energy
Farms
Geographic Information Systems
Ecology
Agriculture

@article {pmid39561196,
year = {2024},
author = {Konzen, E and Delahay, RJ and Hodgson, DJ and McDonald, RA and Brooks Pollock, E and Spencer, SEF and McKinley, TJ},
title = {Efficient modelling of infectious diseases in wildlife: A case study of bovine tuberculosis in wild badgers.},
journal = {PLoS computational biology},
volume = {20},
number = {11},
pages = {e1012592},
doi = {10.1371/journal.pcbi.1012592},
pmid = {39561196},
issn = {1553-7358},
mesh = {Animals ; *Mustelidae/microbiology ; *Tuberculosis, Bovine/epidemiology/transmission/diagnosis ; Cattle ; *Animals, Wild/microbiology ; United Kingdom/epidemiology ; Models, Biological ; Mycobacterium bovis ; Computational Biology/methods ; Disease Reservoirs/microbiology/veterinary ; Ireland/epidemiology ; },
abstract = {Bovine tuberculosis (bTB) has significant socio-economic and welfare impacts on the cattle industry in parts of the world. In the United Kingdom and Ireland, disease control is complicated by the presence of infection in wildlife, principally the European badger. Control strategies tend to be applied to whole populations, but better identification of key sources of transmission, whether individuals or groups, could help inform more efficient approaches. Mechanistic transmission models can be used to better understand key epidemiological drivers of disease spread and identify high-risk individuals and groups if they can be adequately fitted to observed data. However, this is a significant challenge, especially within wildlife populations, because monitoring relies on imperfect diagnostic test information, and even under systematic surveillance efforts (such as capture-mark-recapture sampling) epidemiological events are only partially observed. To this end we develop a stochastic compartmental model of bTB transmission, and fit this to individual-level data from a unique > 40-year longitudinal study of 2,391 badgers using a recently developed individual forward filtering backward sampling algorithm. Modelling challenges are further compounded by spatio-temporal meta-population structures and age-dependent mortality. We develop a novel estimator for the individual effective reproduction number that provides quantitative evidence for the presence of superspreader badgers, despite the population-level effective reproduction number being less than one. We also infer measures of the hidden burden of infection in the host population through time; the relative likelihoods of competing routes of transmission; effective and realised infectious periods; and longitudinal measures of diagnostic test performance. This modelling framework provides an efficient and generalisable way to fit state-space models to individual-level data in wildlife populations, which allows identification of high-risk individuals and exploration of important epidemiological questions about bTB and other wildlife diseases.},
}

Animals
*Mustelidae/microbiology
*Tuberculosis, Bovine/epidemiology/transmission/diagnosis
Cattle
*Animals, Wild/microbiology
United Kingdom/epidemiology
Models, Biological
Mycobacterium bovis
Computational Biology/methods
Disease Reservoirs/microbiology/veterinary
Ireland/epidemiology

@article {pmid39146704,
year = {2024},
author = {Li, G and Wu, M and Xiao, Y and Tong, Y and Li, S and Qian, H and Zhao, T},
title = {Multi-omics reveals the ecological and biological functions of Enterococcus mundtii in the intestine of lepidopteran insects.},
journal = {Comparative biochemistry and physiology. Part D, Genomics & proteomics},
volume = {52},
number = {},
pages = {101309},
doi = {10.1016/j.cbd.2024.101309},
pmid = {39146704},
issn = {1878-0407},
mesh = {Animals ; *Bombyx/microbiology/genetics ; *Enterococcus/genetics ; *Gastrointestinal Microbiome ; *Intestines/microbiology ; Proteomics ; Symbiosis ; Multiomics ; },
abstract = {Insect guts offer unique habitats for microbial colonization, with gut bacteria potentially offering numerous benefits to their hosts. Although Enterococcus has emerged as one of the predominant gut commensal bacteria in insects, its establishment in various niches within the gut has not been characterized well. In this study, Enterococcus mundtii was inoculated into the silkworm (Bombyx mori L.) to investigate its biological functions. Genome-based analysis revealed that its successful colonization is related to adherence genes (ebpA, ebpC, efaA, srtC, and scm). This bacterium did not alter the activities of related metabolic enzymes or the intestinal barrier function. However, significant changes in the gene expressions levels of Att2, CecA, and Lys suggest potential adaptive mechanisms of host immunity to symbiotic E. mundtii. Moreover, 16S metagenomics analysis revealed a significant increase in the relative abundance of E. mundtii in the intestines of silkworms following inoculation. The intestinal microbiome displayed marked heterogeneity, an elevated gut microbiome health index, a reduced microbial dysbiosis index, and low potential pathogenicity in the treatment group. Additionally, E. mundtii enhanced the breakdown of carbohydrates in host intestines. Overall, E. mundtii serves as a beneficial microbe for insects, promoting intestinal homeostasis by providing competitive advantage. This characteristic helps E. mundtii dominate complex microbial environments and remain prevalent across Lepidoptera, likely fostering long-term symbiosis between the both parties. The present study contributes to clarifying the niche of E. mundtii in the intestine of lepidopteran insects and further reveals its potential roles in their insect hosts.},
}

Animals
*Bombyx/microbiology/genetics
*Enterococcus/genetics
*Gastrointestinal Microbiome
*Intestines/microbiology
Proteomics
Symbiosis
Multiomics

@article {pmid39622813,
year = {2024},
author = {Monadjem, A and Montauban, C and Webala, PW and Laverty, TM and Bakwo-Fils, EM and Torrent, L and Tanshi, I and Kane, A and Rutrough, AL and Waldien, DL and Taylor, PJ},
title = {African bat database: curated data of occurrences, distributions and conservation metrics for sub-Saharan bats.},
journal = {Scientific data},
volume = {11},
number = {1},
pages = {1309},
pmid = {39622813},
issn = {2052-4463},
mesh = {*Chiroptera/classification/physiology ; Animals ; Africa South of the Sahara ; *Conservation of Natural Resources ; *Databases, Factual ; Ecosystem ; Animal Distribution ; },
abstract = {Accurate knowledge of species distributions is foundational for effective conservation efforts. Bats are a diverse group of mammals, with important roles in ecosystem functioning. However, our understanding of bats and their ecological importance is hindered by poorly defined ranges, mostly as a result of under-recording. This issue is exacerbated in Africa by the ongoing rapid discovery of new species, both de novo and splits of existing species, and by inaccessibility to museum specimens that are mostly hosted outside of the continent. Here we present the African bat database - a curated set of 17,285 unique locality records of all 266 species of bats from sub-Saharan Africa, vouched for by specimens and/or genetic sequencing, and aligned with current taxonomy. Based on these records, we also present Maxent-based distribution models and calculate the IUCN Red List metrics for Extent of Occurrence and Area of Occupancy. This database and online visualization tool provide an important open-source resource and is expected to significantly advance studies in ecology, and aid in bat conservation.},
}

*Chiroptera/classification/physiology
Animals
Africa South of the Sahara
*Conservation of Natural Resources
*Databases, Factual
Ecosystem
Animal Distribution

@article {pmid39622351,
year = {2024},
author = {Nishimura, H and Nawa, N and Ogawa, T and Fushimi, K and Schwartz, BS and Fujiwara, T},
title = {Projections of future heat-related emergency hospitalizations for asthma under climate and demographic change scenarios: a Japanese nationwide time-series analysis.},
journal = {Environmental research},
volume = {},
number = {},
pages = {120498},
doi = {10.1016/j.envres.2024.120498},
pmid = {39622351},
issn = {1096-0953},
abstract = {BACKGROUND: There is growing concern about climate impacts on human health. However, empirical evidence is lacking regarding future projections of heat-related asthma hospitalizations. This study aimed to project excess emergency hospitalizations for heat-related asthma exacerbation in Japan.

METHODS: Using Japanese nationwide administrative data from 2011 to 2019, we conducted an ecological time-series quasi-Poisson regression analysis to estimate the heat-related relative risk of emergency hospitalization for asthma over a lag of 0-3 days during the warm season (June to September). Heat exposure was defined as the region-specific daily mean temperature exceeding the locally defined minimum morbidity temperature percentile (MMP). Heat-related excess hospitalizations for asthma were projected under future climate and demographic change scenarios based on Shared Socioeconomic Pathways (SSPs).

RESULTS: We identified 75,829 emergency hospitalizations for asthma. The heat-related relative risk of hospitalization was 1.22 (95% confidence interval (CI): 1.12-1.33) at the 99th percentile temperature relative to the MMP, with the highest estimates for cases aged 0-14 years. Heat-related excess hospitalizations were projected to increase by 6.78 (95%CI: 5.84-7.67) times in 2091-2099 versus 2011-2019 along SSP5-8.5 when constant population structure was assumed. The increasing trend persisted even when the future population decline was considered (4.19 (95%CI: 3.53-4.85) times in 2091-2099 versus 2011-2019 under SSP5-8.5).

CONCLUSION: Future heat-related impacts on asthma exacerbation are expected to increase in Japan toward the end of this century, even when the future demographic change is considered. Our projections will contribute to resilient health systems adapting to ongoing climate change.},
}

@article {pmid39621910,
year = {2024},
author = {Alfaro-Sánchez, R and Richardson, AD and Smith, SL and Johnstone, JF and Turetsky, MR and Cumming, SG and Le Moine, JM and Baltzer, JL},
title = {Permafrost instability negates the positive impact of warming temperatures on boreal radial growth.},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
volume = {121},
number = {50},
pages = {e2411721121},
doi = {10.1073/pnas.2411721121},
pmid = {39621910},
issn = {1091-6490},
support = {15879//Aurora Research Institute (ARI)/ ; permafrost monitoring in the Mackenzie River Valley//Canadian Government | Natural Resources Canada (NRCan)/ ; MZ2021//María Zambrano program/ ; Small Research 2021 - SR21/1291//British Ecological Society (BES)/ ; Environmental Studies Research Fund and Cumulative Impacts Monitoring Program (Project 170)//Environment and Natural Resources, Northwest Territories (ENR, NWT)/ ; Discovery Grant support//Canadian Government | NSERC | RES'EAU-WaterNET/ ; Bonanza Creek LTER DEB-2224776//National Science Foundation (NSF)/ ; },
mesh = {*Permafrost ; *Trees/growth & development ; Temperature ; Taiga ; Global Warming ; Climate Change ; Forests ; },
abstract = {Climate warming can alleviate temperature and nutrient constraints on tree growth in boreal regions, potentially enhancing boreal productivity. However, in permafrost environments, warming also disrupts the physical foundation on which trees grow, leading to leaning trees or "drunken" forests. Tree leaning might reduce radial growth, undermining potential benefits of warming. Here, we found widespread radial growth reductions in southern latitude boreal forests since the 1980s. At mid latitudes, radial growth increased from ~1980 to ~2000 but showed recent signs of decline afterward. Increased growth was evident since the 1980 s at higher latitudes, where radial growth appears to be temperature limited. However, recent changes in permafrost stability, and the associated increased frequency of tree leaning events, emerged as a significant stressor, leading to reduced radial growth in boreal trees at the highest latitudes, where permafrost is extensive. We showed that trees growing in unstable permafrost sites allocated more nonstructural carbohydrate reserves to offset leaning which compromised radial growth and potential carbon uptake benefits of warming. This higher allocation of resources in drunken trees is needed to build the high-density reaction wood, rich in lignin, that is required to maintain a vertical position. With continued climate warming, we anticipate widespread reductions in radial growth in boreal forests, leading to lower carbon sequestration. These findings enhance our understanding of how climate warming and indirect effects, such as ground instability caused by warming permafrost, will affect boreal forest productivity in the future.},
}

*Permafrost
*Trees/growth & development
Temperature
Taiga
Global Warming
Climate Change
Forests

@article {pmid39618809,
year = {2024},
author = {Boyes, D and Young, MR and , and , and , and , and , and , and , },
title = {The genome sequence of the Straw Grass-veneer moth, Agriphila straminella (Denis & Schiffermüller), 1775.},
journal = {Wellcome open research},
volume = {9},
number = {},
pages = {433},
pmid = {39618809},
issn = {2398-502X},
abstract = {We present a genome assembly from an individual male Straw Grass-veneer moth, Agriphila straminella (Arthropoda; Insecta; Lepidoptera; Crambidae). The genome sequence has a length of 511.50 megabases. Most of the assembly is scaffolded into 26 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled and is 15.36 kilobases in length. Gene annotation of this assembly on Ensembl identified 12,087 protein-coding genes.},
}

@article {pmid39616400,
year = {2024},
author = {Asaaga, FA and Shakeer, I and Sriram, A and Chhotaria, K and Dutta, S and Narayanaswamy, D and Amankwaa, G and Chanda, MM and Hoti, SL and Young, JC and Purse, BV},
title = {Ties that bind: understanding One Health networks and participation for zoonoses prevention and control in India.},
journal = {One health outlook},
volume = {6},
number = {1},
pages = {24},
pmid = {39616400},
issn = {2524-4655},
abstract = {BACKGROUND: Cross-sectoral collaborations as exemplified by the One Health approach, are widely endorsed as pragmatic avenues for addressing zoonotic diseases, but operationalisation remain limited in low-and-middle income countries (LMICs). Complexities and competing interests and agendas of key stakeholders and the underlying politico-administrative context can all shape outcomes of collaborative arrangements. Evidence is building that organised collaborations are complex political initiatives where different objectives; individual and institutional agendas need to be reconciled to incentivise collaborations.

METHODS: Drawing on a qualitative network analysis of published sources on 'One Health' stakeholders supplemented with 26 multi-scale (national-state-district level) key-informant interviews (including policymakers, disease managers and public health experts), this paper characterises the fragmented and complex characteristics of institutional networks involved in zoonoses prevention and control in India.

RESULTS: Our results highlight how the local socio-political and institutional contexts interact to modulate how and when collaborations occur (or not), the associated contingencies and stakeholder innovations in circumventing existing barriers (e.g. competing interests, distrust between actors, departmental bureaucracy) to cross-sector collaborations and zoonoses management. Aside from principal actors negotiating common ground in some instance, they also capitalised on political/institutional pressure to subtly 'manipulate' their subordinates as a way of fostering collaboration, especially in instances when the institutional and political stakes are high.

CONCLUSION: Altogether our findings suggest that cross-sectoral collaborations are by-product of political and institutional tinkering as long as individual actors and institutional interests converge and these dynamics must be embraced to embed meaningful and sustainable collaborations in local socio-political and administrative contexts.},
}

@article {pmid39461044,
year = {2024},
author = {Wu, Y and Wei, C and Zhang, Y and Gu, C and Fang, Y},
title = {Investigating intrinsic and situational predictors of depression among older adults: An analysis of the CHARLS database.},
journal = {Asian journal of psychiatry},
volume = {102},
number = {},
pages = {104279},
doi = {10.1016/j.ajp.2024.104279},
pmid = {39461044},
issn = {1876-2026},
mesh = {Humans ; Female ; Male ; Aged ; Middle Aged ; Aged, 80 and over ; *Depression/epidemiology ; Databases, Factual ; China/epidemiology ; Risk Factors ; Follow-Up Studies ; Depressive Disorder/epidemiology ; Chronic Disease ; },
abstract = {BACKGROUND: This study aimed to investigate the intrinsic and situational predictors of depression under the health ecological model.

METHODS: Two waves (2011 and 2013) of survey data were collected from the CHARLS. A total of 5845 older adults (≧60) were included, and depression was defined as CESD-10 score ≧10. Random forest combined with interpretable methods were utilized to select important predictors of depression. Multilevel logit model was used to examine the associations of intrinsic and situational predictors with depression.

RESULTS: After a 2-year follow up, 1822 individuals (31.17 %) developed depression. Interpretable analyses showed that both intrinsic and situational variables were predictive for depression. Multilevel logit model showed that age, gender, number of chronic diseases, number of pain areas, life satisfaction, and toilet distance were significantly associated with depression.

CONCLUSION: Both intrinsic and situational factors were found to be associated with depression among community older population, highlighting their significance for early prevention from the perspective of public health.},
}

Humans
Female
Male
Aged
Middle Aged
Aged, 80 and over
*Depression/epidemiology
Databases, Factual
China/epidemiology
Risk Factors
Follow-Up Studies
Depressive Disorder/epidemiology
Chronic Disease

@article {pmid39396151,
year = {2025},
author = {Burger, J and Gochfeld, M and Brown, KG and Cortes, M and Ng, K and Kosson, D},
title = {Using the National Land Cover Database as an indicator of shrub-steppe habitat: comparing two large United States federal lands with surrounding regions.},
journal = {Journal of toxicology and environmental health. Part A},
volume = {88},
number = {1},
pages = {1-19},
doi = {10.1080/15287394.2024.2412659},
pmid = {39396151},
issn = {1528-7394},
mesh = {*Ecosystem ; *Conservation of Natural Resources ; Idaho ; Washington ; Databases, Factual ; United States ; Grassland ; Environmental Monitoring/methods ; },
abstract = {There is a need to assess whether ecological resources are being protected on large, federal lands. The aim of this study was to present a methodology which consistently and transparently determines whether two large Department of Energy (U.S. DOE) facilities have protected valuable ecological lands on their sites compared to the surrounding region. The National Land Cover Database (2019) was used to examine the % shrub-scrub (shrub-steppe) and other habitats on the DOE's Hanford Site (HS, Washington) and on the Idaho National Laboratory (INL), compared to a 10-km and 30-km diameter band of land surrounding each site. On both sites, over 95% is in shrub-scrub or grassland, compared to the surrounding region. Approximately 70% of 10 km and 30-km bands around INL, and less than 50% of land surrounding HS is located in these two habitat types. INL has preserved a significantly higher % shrub/scrub habitat than HS, but INL allows grazing on 60% of its land. HS has preserved a significantly higher % grassland than INL but no grazing on site is present. The methodology presented may be used to compare key ecological habitat types such as grasslands, forest, and desert among sites in different parts of the country. This methodology enables managers, resource trustees, and the public to (1) make remediation decisions that protect resources, (2) assess whether landowners and managers have adequately characterized and protected environmental resources on their sites, and (3) whether landowners and managers have protected the integrity of that land as well as its climax vegetation.},
}

*Ecosystem
*Conservation of Natural Resources
Idaho
Washington
Databases, Factual
United States
Grassland
Environmental Monitoring/methods

@article {pmid39612036,
year = {2024},
author = {Ma, D and Huang, Q and Wang, Q and Xu, H and Yan, Y},
title = {Detection of spatiotemporal changes in eco-environmental quality based on RSEI and SG filtering and its driving force analysis: a case study in Sichuan Province, China.},
journal = {Environmental monitoring and assessment},
volume = {196},
number = {12},
pages = {1274},
pmid = {39612036},
issn = {1573-2959},
support = {ZR2020MD025//Natural Science Foundation of Shandong Province/ ; 42171435//National Natural Science Foundation of China/ ; },
mesh = {China ; *Environmental Monitoring/methods ; *Remote Sensing Technology ; Forests ; Ecosystem ; Grassland ; Conservation of Natural Resources/methods ; },
abstract = {Landsat images were extracted using Google Earth Engine (GEE) platform and optimized by Savitzky-Golay (SG) filtering. The Remote Sensing Ecological Index (RSEI) method was used to analyze the eco-environmental quality in Sichuan Province in recent 20 years. In addition, Theil-Sen median method and Mann-Kendall (MK) test were used to test the change trend of eco-environmental quality. Furthermore, drivers were evaluated by partial correlation analysis, 2D scatter plots, and t tests. The results showed that (1) in the past 20 years, the eco-environmental quality of Sichuan Province was on the rise, and the eco-environmental quality in the western region was better than that in the eastern region. The eco-environmental quality was positively correlated with forest and grassland types, and negatively correlated with cultivated land and urban and rural construction land types. (2) The eco-environmental quality of Sichuan Province is linearly correlated with the digital elevation model, but poorly correlated with slope and slope direction. In the range of slope 0° ~ 9° and southeast direction, the eco-environmental quality is the worst. (3) The eco-environmental quality of Sichuan Province was most significantly affected by soil moisture and sunshine hours. The study can help us to understand and assess the health of ecosystems in Sichuan Province, provide a scientific basis for protecting and improving the environment, and guide the formulation and implementation of environmental protection policies.},
}

China
*Environmental Monitoring/methods
*Remote Sensing Technology
Forests
Ecosystem
Grassland
Conservation of Natural Resources/methods

@article {pmid39609505,
year = {2024},
author = {Alvarez-Mamani, E and Buettner, F and Beltran-Castanon, CA and Ibanez, AJ},
title = {Exploratory analysis of metabolic changes using mass spectrometry data and graph embeddings.},
journal = {Scientific reports},
volume = {14},
number = {1},
pages = {29570},
pmid = {39609505},
issn = {2045-2322},
support = {No. 174-2020-FONDECYT "Doctoral Programs in Peruvian Universities"//Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica (CONCYTEC), and Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (FONDECYT)/ ; "The Max Planck Partner Group" (Max Planck Institute for Chemical Ecology-Jena)//Max-Planck-Gesellschaft/ ; "The Max Planck Partner Group" (Max Planck Institute for Chemical Ecology-Jena)//Max-Planck-Gesellschaft/ ; Nº PE501086715-2024- PROCIENCIA)//CONCYTEC-Prociencia convocatoria E041-2024-01/ ; },
mesh = {*Metabolomics/methods ; *Mass Spectrometry/methods ; *Algorithms ; *Data Mining/methods ; Humans ; Deep Learning ; Metabolic Networks and Pathways ; Metabolome ; },
abstract = {Mass spectrometry (MS)-based metabolomics analysis is a powerful tool, but it comes with its own set of challenges. The MS workflow involves multiple steps before its interpretation in what is denominate data mining. Data mining consists of a two-step process. First, the MS data is ordered, arranged, and presented for filtering before being analyzed. Second, the filtered and reduced data are analyzed using statistics to remove further variability. This holds true particularly for MS-based untargeted metabolomics studies, which focused on understanding fold changes in metabolic networks. Since the task of filtering and identifying changes from a large dataset is challenging, automated techniques for mining untargeted MS-based metabolomic data are needed. The traditional statistics-based approach tends to overfilter raw data, which may result in the removal of relevant data and lead to the identification of fewer metabolomic changes. This limitation of the traditional approach underscores the need for a new method. In this work, we present a novel deep learning approach using node embeddings (powered by GNNs), edge embeddings, and anomaly detection algorithm to analyze the data generated by mass spectrometry (MS)-based metabolomics called GEMNA (Graph Embedding-based Metabolomics Network Analysis), for example for an untargeted volatile study on Mentos candy, the data clusters produced by GEMNA were better than the ones used traditional tools, i.e., GEMNA has [Formula: see text], vs. the traditional approach has [Formula: see text].},
}

*Metabolomics/methods
*Mass Spectrometry/methods
*Algorithms
*Data Mining/methods
Humans
Deep Learning
Metabolic Networks and Pathways
Metabolome

@article {pmid39606930,
year = {2024},
author = {Whyte, M and Wambui, KM and Musenge, E},
title = {Nigeria's malaria prevalence in 2015: a geospatial, exploratory district-level approach.},
journal = {Geospatial health},
volume = {19},
number = {2},
pages = {},
doi = {10.4081/gh.2024.1243},
pmid = {39606930},
issn = {1970-7096},
mesh = {Humans ; Nigeria/epidemiology ; *Malaria/epidemiology ; Prevalence ; Child, Preschool ; Infant ; *Spatial Analysis ; Female ; Male ; *Geographic Information Systems ; Socioeconomic Factors ; Adult ; Adolescent ; Child ; Middle Aged ; Young Adult ; },
abstract = {This study used data from the second Nigeria Malaria Indicator Survey (NMIS) conducted in 2015 to investigate the spatial distribution of malaria prevalence in the country and identify its associated factors. Nigeria is divided into 36 states with 109 senatorial districts, most of which are affected by malaria, a major cause of morbidity and mortality in children under five years of age. We carried out an ecological study with analysis at the senatorial district level. A malaria prevalence map was produced combining geographic information systems data from the Nigeria Malaria Indicator Survey (NMIS) of 2015 with shape files from an open data-sharing platform. Spatial autoregressive models were fitted using a set of key covariates. Malaria prevalence in children under-five was highest in Kebbi South senatorial district (70.6%). It was found that poorest wealth index (β = 0.10 (95% CI: 0.01, 0.20), p = 0.04), mothers having only secondary level of education (β = 0.78 (95% CI: 0.05, 1.51), p = 0.04) and households without mosquito bed nets (β = 0.21 (95% CI: 0.02, 0.39), p = 0.03) were all significantly associated with higher malaria prevalence. Moran's I (54.81, p<0.001) showed spatial dependence of malaria prevalence across contiguous districts and spatial autoregressive modelling demonstrated significant spill-over effect of malaria prevalence. Maps produced in this study provide a useful graphical representation of the spatial distribution of malaria prevalence based on NMIS-2015 data. Clustering of malaria prevalence in certain areas further highlights the need for sustained malaria elimination interventions across affected regions in order to break the chain of transmission.},
}

Humans
Nigeria/epidemiology
*Malaria/epidemiology
Prevalence
Child, Preschool
Infant
*Spatial Analysis
Female
Male
*Geographic Information Systems
Socioeconomic Factors
Adult
Adolescent
Child
Middle Aged
Young Adult

@article {pmid39602490,
year = {2024},
author = {Soares, R and Azevedo, L and Vasconcelos, V and Pratas, D and Sousa, SF and Carneiro, J},
title = {Machine Learning-Driven Discovery and Database of Cyanobacteria Bioactive Compounds: A Resource for Therapeutics and Bioremediation.},
journal = {Journal of chemical information and modeling},
volume = {},
number = {},
pages = {},
doi = {10.1021/acs.jcim.4c00995},
pmid = {39602490},
issn = {1549-960X},
abstract = {Cyanobacteria strains have the potential to produce bioactive compounds that can be used in therapeutics and bioremediation. Therefore, compiling all information about these compounds to consider their value as bioresources for industrial and research applications is essential. In this study, a searchable, updated, curated, and downloadable database of cyanobacteria bioactive compounds was designed, along with a machine-learning model to predict the compounds' targets of newly discovered molecules. A Python programming protocol obtained 3431 cyanobacteria bioactive compounds, 373 unique protein targets, and 3027 molecular descriptors. PaDEL-descriptor, Mordred, and Drugtax software were used to calculate the chemical descriptors for each bioactive compound database record. The biochemical descriptors were then used to determine the most promising protein targets for human therapeutic approaches and environmental bioremediation using the best machine learning (ML) model. The creation of our database, coupled with the integration of computational docking protocols, represents an innovative approach to understanding the potential of cyanobacteria bioactive compounds. This resource, adhering to the findability, accessibility, interoperability, and reuse of digital assets (FAIR) principles, is an excellent tool for pharmaceutical and bioremediation researchers. Moreover, its capacity to facilitate the exploration of specific compounds' interactions with environmental pollutants is a significant advancement, aligning with the increasing reliance on data science and machine learning to address environmental challenges. This study is a notable step forward in leveraging cyanobacteria for both therapeutic and ecological sustainability.},
}

@article {pmid39600916,
year = {2021},
author = {Boyes, D and Crowley, LM and , and , and , and , and , and , },
title = {The genome sequence of the harlequin ladybird, Harmonia axyridis (Pallas, 1773).},
journal = {Wellcome open research},
volume = {6},
number = {},
pages = {300},
pmid = {39600916},
issn = {2398-502X},
abstract = {We present a genome assembly from an individual female Harmonia axyridis (the harlequin ladybird; Arthropoda; Insecta; Coleoptera; Coccinellidae). The genome sequence is 426 megabases in span. The majority (99.98%) of the assembly is scaffolded into 8 chromosomal pseudomolecules, with the X sex chromosome assembled.},
}

@article {pmid39599286,
year = {2024},
author = {Toghan, A and Alduaij, OK and Sanad, MMS and Elessawy, NA},
title = {Scalable Engineering of 3D Printing Filaments Derived from Recycling of Plastic Drinking Water Bottle and Glass Waste.},
journal = {Polymers},
volume = {16},
number = {22},
pages = {},
doi = {10.3390/polym16223195},
pmid = {39599286},
issn = {2073-4360},
support = {IMSIU-RG23086//Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University/ ; },
abstract = {The most significant challenge that the world is currently facing is the development of beneficial industrial applications for solid waste. A novel strategy was implemented to produce a composite with varying loadings of glass waste nanoparticles (GWNP) in 5, 10, and 15 wt.% with recycled polyethylene terephthalate drinking water bottle waste (RPET). This strategy was based on glass and drinking water bottle waste. An analysis was conducted to evaluate the performance of the composite as filaments for 3D printer applications. This study evaluated the effect of GWNP addition on the chemical structure, thermal and mechanical characteristics of the composite. The Fourier Transform Infrared (FTIR) spectra of the filament composites and RPET composites exhibited similarities. However, the mechanical strength and thermal stability of the filament composites were enhanced due to the increased GWNP content. Furthermore, the results indicated that the filament developed could be utilized for 3D printing, as demonstrated by the successful fabrication of the filament composite, including 5 wt.% GWNP, using a 3D printer pen. The production of filaments using GWNP and RPET matrix presents a cost-effective, high-yield, and ecologically beneficial alternative. The present study may pave the way for the future advancement and utilization of 3D printing filaments by treating hazardous waste and using more ecologically friendly materials in design applications.},
}

@article {pmid39597377,
year = {2024},
author = {Maślanka, P and Korycki, R},
title = {Material, Aerodynamic, and Operational Aspects of Single-Skin Paraglider.},
journal = {Materials (Basel, Switzerland)},
volume = {17},
number = {22},
pages = {},
doi = {10.3390/ma17225553},
pmid = {39597377},
issn = {1996-1944},
abstract = {The operating comfort of a paraglider is created by the aerodynamic parameters as well as the mass and packing volume of the wing. A classic paraglider has upper and lower covers. To reduce the material and manufacturing costs as well as protect the environment, it is possible to introduce a single-skin wing. This article conducts an analysis of a single-skin paraglider covered only with upper panels, whereas the lower cover is applied only at the leading and trailing edges. The analysis is theoretically oriented; aerodynamic and structural calculations were performed using the ANSYS environment. The single-skin structure was evaluated in terms of the predicted behavior during flight and the material's deformation under the influence of a specified pressure and the overloads acting on it. The results show that developing these structures may influence the creation of models with comparable aerodynamic characteristics to traditional ones. Additionally, the reduced masses and packing volumes of difficult-to-degrade materials are strongly correlated with saving costs and an ecological approach. No corresponding studies were found in the available literature. Thus, this presented analysis may result in a greater understanding and application of this paraglider type.},
}

@article {pmid39596552,
year = {2024},
author = {Signore, IA and Donoso, G and Bocchieri, P and Tobar-Calfucoy, EA and Yáñez, CE and Carvajal-Silva, L and Silva, AX and Otth, C and Cappelli, C and Valenzuela Jorquera, H and Zapata-Contreras, D and Espinosa-Parrilla, Y and Zúñiga-Pacheco, P and Fuentes-Guajardo, M and Monardes-Ramírez, VA and Kochifas Velasquez, P and Muñoz, CA and Dorador, C and García-Araya, J and Campillay-Véliz, CP and Echeverria, C and Santander, RA and Cerpa, LC and Martínez, MF and Quiñones, LA and Lamoza Galleguillos, ER and Saez Hidalgo, J and Nova-Lamperti, E and Sanhueza, S and Giacaman, A and Acosta-Jamett, G and Verdugo, C and Plaza, A and Verdugo, C and Selman, C and Verdugo, RA and Colombo, A},
title = {The Chilean COVID-19 Genomics Network Biorepository: A Resource for Multi-Omics Studies of COVID-19 and Long COVID in a Latin American Population.},
journal = {Genes},
volume = {15},
number = {11},
pages = {},
doi = {10.3390/genes15111352},
pmid = {39596552},
issn = {2073-4425},
support = {ANID COVID0961, ANID COVID0789, ANID COVID1005, ANID COVID0585, ACT210085, FONDECYT 1170446, FONDECYT 1211480//Agencia Nacional de Investigación y Desarrollo/ ; MAG1995//Ministry of Education/ ; RED21193//Interuniversity Center for Healthy Aging/ ; VRID220.085.041-INI//University of Concepción/ ; },
mesh = {Humans ; *COVID-19/genetics/virology/epidemiology ; Chile ; *Biological Specimen Banks ; *Genomics/methods ; *SARS-CoV-2/genetics ; Male ; Female ; Adult ; Middle Aged ; Aged ; Latin America ; Multiomics ; },
abstract = {Although a lack of diversity in genetic studies is an acknowledged obstacle for personalized medicine and precision public health, Latin American populations remain particularly understudied despite their heterogeneity and mixed ancestry. This gap extends to COVID-19 despite its variability in susceptibility and clinical course, where ethnic background appears to influence disease severity, with non-Europeans facing higher hospitalization rates. In addition, access to high-quality samples and data is a critical issue for personalized and precision medicine, and it has become clear that the solution lies in biobanks. The creation of the Chilean COVID-19 Biorepository reported here addresses these gaps, representing the first nationwide multicentric Chilean initiative. It operates under rigorous biobanking standards and serves as one of South America's largest COVID cohorts. A centralized harmonization strategy was chosen and included unified standard operating procedures, a sampling coding system, and biobanking staff training. Adults with confirmed SARS-CoV-2 infection provided broad informed consent. Samples were collected to preserve blood, plasma, buffy coat, and DNA. Quality controls included adherence to the standard preanalytical code, incident reporting, and DNA concentration and absorbance ratio 260/280 assessments. Detailed sociodemographic, health, medication, and preexisting condition data were gathered. In five months, 2262 participants were enrolled, pseudonymized, and sorted by disease severity. The average Amerindian ancestry considering all participant was 44.0% [SD 15.5%], and this value increased to 61.2% [SD 19.5%] among those who self-identified as Native South Americans. Notably, 279 participants self-identified with one of 12 ethnic groups. High compliance (>90%) in all assessed quality controls was achieved. Looking ahead, our team founded the COVID-19 Genomics Network (C19-GenoNet) focused on identifying genetic factors influencing SARS-CoV-2 outcomes. In conclusion, this bottom-up collaborative effort aims to promote the integration of Latin American populations into global genetic research and welcomes collaborations supporting this endeavor. Interested parties are invited to explore collaboration opportunities through our catalog, accessible online.},
}

Humans
*COVID-19/genetics/virology/epidemiology
Chile
*Biological Specimen Banks
*Genomics/methods
*SARS-CoV-2/genetics
Male
Female
Adult
Middle Aged
Aged
Latin America
Multiomics

@article {pmid39595758,
year = {2024},
author = {Aras, SG and Runyon, JR and Kazman, JB and Thayer, JF and Sternberg, EM and Deuster, PA},
title = {Is Greener Better? Quantifying the Impact of a Nature Walk on Stress Reduction Using HRV and Saliva Cortisol Biomarkers.},
journal = {International journal of environmental research and public health},
volume = {21},
number = {11},
pages = {},
doi = {10.3390/ijerph21111491},
pmid = {39595758},
issn = {1660-4601},
support = {XX//The Institute for Integrative Health and Nature Sacred/ ; },
mesh = {Humans ; *Hydrocortisone/analysis/metabolism ; *Saliva/chemistry ; *Walking/physiology ; *Heart Rate/physiology ; Male ; Adult ; Female ; *Biomarkers/analysis/metabolism ; Stress, Psychological/metabolism/physiopathology ; Affect/physiology ; Stress, Physiological/physiology ; Young Adult ; Nature ; Middle Aged ; },
abstract = {The physiological impact of walking in nature was quantified via continuous heart rate variability (HRV), pre- and post-walk saliva cortisol measures, and self-reported mood and mindfulness scores for N = 17 participants who walked "The Green Road" at Walter Reed National Military Medical Center in Bethesda, Maryland. For N = 15 of the participants, HRV analysis revealed two main groups: group one individuals had a 104% increase (mean) in the root mean square standard deviation (RMSSD) and a 47% increase (mean) in the standard deviation of NN values (SDNN), indicating an overall reduction in physiological stress from walking the Green Road, and group two individuals had a decrease (mean) of 42% and 31% in these respective HRV metrics, signaling an increase in physiological stresses. Post-walk self-reported scores for vigor and mood disturbance were more robust for the Green Road than for a comparable urban road corridor and showed that a higher HRV during the walk was associated with improved overall mood. Saliva cortisol was lower after taking a walk for all participants, and it showed that walking the Green Road elicited a significantly larger reduction in cortisol of 53%, on average, when compared with 37% of walking along an urban road. It was also observed that the order in which individuals walked the Green Road and urban road also impacted their cortisol responses, with those walking the urban road before the Green Road showing a substantial reduction in cortisol, suggesting a possible attenuation effect of walking the Green Road first. These findings provide quantitative data demonstrating the stress-reducing effects of being in nature, thus supporting the health benefit value of providing access to nature more broadly in many settings.},
}

Humans
*Hydrocortisone/analysis/metabolism
*Saliva/chemistry
*Walking/physiology
*Heart Rate/physiology
Male
Adult
Female
*Biomarkers/analysis/metabolism
Stress, Psychological/metabolism/physiopathology
Affect/physiology
Stress, Physiological/physiology
Young Adult
Nature
Middle Aged

@article {pmid39594004,
year = {2024},
author = {Alrhmoun, M and Sulaiman, N and Haq, SM and Abidullah, S and Prakofjewa, J and Krigas, N and Pieroni, A and Sõukand, R},
title = {Is Boiling Bitter Greens a Legacy of Ancient Crete? Contemporary Foraging in the Minoan Refugium of the Lasithi Plateau.},
journal = {Foods (Basel, Switzerland)},
volume = {13},
number = {22},
pages = {},
pmid = {39594004},
issn = {2304-8158},
support = {N/A//University of Gastronomic Sciences, Pollenzo, Italy/ ; N/A//Department of Environmental Sciences, Informatics, and Statistics, Ca' Foscari Uni-versity of Venice, Italy/ ; },
abstract = {Wild greens (WGs) play a significant role in Mediterranean diets (MDs), reflecting botanical and cultural diversities, mainly influenced by a complex conglomerate of local human ecologies. This study investigates local ecological knowledge (LEK) linked to traditional gathering and consumption of WGs in the Lasithi Plateau of eastern Crete, where human genetic studies one decade ago showed very peculiar patterns, hypothesising that the Minoan civilisation took refuge there before it disappeared. A field ethnobotanical study was conducted to document the diversity of WGs and their detailed local culinary uses in the Lasithi area by interviewing 31 study participants. Fifty-nine folk taxa (species and subspecies) were recorded, corresponding to fifty-eight botanical taxa. A quotation index was measured to assess the cultural significance of WGs in the study areas; logistic regression analysis was adopted to understand the impact of sensory classifications of WGs and their local cooking methods. Lasithi's foraging showed a notable prevalence of bitter-tasting WGs, which play a central role in local cognition and culinary practices. This bitterness aspect of WGs, potentially influenced by cultural preferences and genetic factors, probably suggests a connection to the ancient Lasithi's inhabitants, i.e., Minoan dietary habits. We found that bitterness is the predominant sensory attribute in Lasithi, characterising 45.76% of the WGs. These findings underscore the complex interplay between local ecologies and biodiversity, LEK, and dietary traditions, highlighting the importance of WGs in understanding the evolution of foraging and plant culinary diversities across the Mediterranean.},
}

@article {pmid39592922,
year = {2024},
author = {Das, VA and Gautam, B and Yadav, PK and Varadwaj, PK and Wadhwa, G and Singh, S},
title = {Computational approach to identify novel genomic features conferring high fitness in Bacillus atrophaeus CNY01 and Bacillus velezensis AK-0 associated with plant growth promotion (PGP) in apple.},
journal = {BMC plant biology},
volume = {24},
number = {1},
pages = {1127},
pmid = {39592922},
issn = {1471-2229},
mesh = {*Bacillus/genetics/physiology ; *Malus/microbiology/genetics ; *Genome, Bacterial ; Genetic Fitness ; Genomics/methods ; Genomic Islands ; Computational Biology/methods ; },
abstract = {A comparative genomic analysis approach provides valuable information about genetic variations and evolutionary relationships among microorganisms, aiding not only in the identification of functional genes responsible for traits such as pathogenicity, antibiotic resistance, and metabolic capabilities but also in enhancing our understanding of microbial genomic diversity and their ecological roles, such as supporting plant growth promotion, thereby enabling the development of sustainable strategies for agriculture. We used two strains from different Bacillus species, Bacillus velezensis AK-0 and Bacillus atrophaeus CNY01, which have previously been reported to have PGP activity in apple, and performed comparative genomic analysis to understand their evolutionary process and obtain a mechanistic understanding of their plant growth-promoting activity. We identified genomic features such as mobile genetic elements (MGEs) that encode key proteins involved in the survival, adaptation and growth of these bacterial strains. The presence of genomic islands and intact prophage DNA in Bacillus atrophaeus CNY01 and Bacillus velezensis AK-0 suggests that horizontal gene transfer has contributed to their diversification and acquisition of adaptive traits, enhancing their evolutionary advantage. We also identified novel DNA motifs that are associated with key physiological processes and metabolic pathways.},
}

*Bacillus/genetics/physiology
*Malus/microbiology/genetics
*Genome, Bacterial
Genetic Fitness
Genomics/methods
Genomic Islands
Computational Biology/methods

@article {pmid39591252,
year = {2024},
author = {Baradaran, M and Salabi, F and Mahdavinia, M and Mohammadi, E and Vazirianzadeh, B and Avella, I and Kazemi, SM and Lüddecke, T},
title = {ScorpDb: A Novel Open-Access Database for Integrative Scorpion Toxinology.},
journal = {Toxins},
volume = {16},
number = {11},
pages = {},
doi = {10.3390/toxins16110497},
pmid = {39591252},
issn = {2072-6651},
mesh = {*Scorpion Venoms/chemistry ; *Scorpions ; Animals ; Humans ; Databases, Factual ; Scorpion Stings/drug therapy ; Databases, Protein ; },
abstract = {Scorpion stings are a significant public health concern globally, particularly in tropical and subtropical regions. Scorpion venoms contain a diverse array of bioactive peptides, and different scorpion species around the world typically exhibit varying venom profiles, resulting in a wide range of envenomation symptoms. Despite their harmful effects, scorpion venom peptides hold immense potential for drug development due to their unique characteristics. Therefore, the establishment of a comprehensive database that catalogs scorpions along with their known venom peptides and proteins is imperative in furthering research efforts in this research area. We hereby present ScorpDb, a novel database that offers convenient access to data related to different scorpion species, the peptides and proteins found in their venoms, and the symptoms they can cause. To this end, the ScorpDb database has been primarily advanced to accommodate data on the Iranian scorpion fauna. From there, we propose future community efforts to include a larger diversity of scorpions and scorpion venom components. ScorpDb holds the promise to become a valuable resource for different professionals from a variety of research fields, like toxinologists, arachnologists, and pharmacologists. The database is available at https://www.scorpdb.com/.},
}

*Scorpion Venoms/chemistry
*Scorpions
Animals
Humans
Databases, Factual
Scorpion Stings/drug therapy
Databases, Protein

@article {pmid39488960,
year = {2024},
author = {Tayyab, M and Hussain, M and Zhang, J and Ullah, S and Tong, Z and Rahman, ZU and Al-Aizari, AR and Al-Shaibah, B},
title = {Leveraging GIS-based AHP, remote sensing, and machine learning for susceptibility assessment of different flood types in peshawar, Pakistan.},
journal = {Journal of environmental management},
volume = {371},
number = {},
pages = {123094},
doi = {10.1016/j.jenvman.2024.123094},
pmid = {39488960},
issn = {1095-8630},
mesh = {*Floods ; Pakistan ; *Machine Learning ; *Geographic Information Systems ; Algorithms ; Remote Sensing Technology ; },
abstract = {Due to its diverse topography, Pakistan faces different types of floods each year, which cause substantial physical, environmental, and socioeconomic damage. However, the susceptibility of specific regions to different flood types remains unexplored. To the best of our knowledge for the first time, this study employed an integrated approach by leveraging a GIS-based Analytical Hierarchy Process (AHP), remote sensing, and machine learning (ML) algorithms, to assess susceptibility to three different types of flooding in Peshawar, Pakistan. The study first evaluated the degree of susceptibility to riverine, urban, and flash floods using the GIS-based AHP technique, and then employed ML models, (i.e., specifically Random Forest [RF] and Extreme Gradient Boosting [XG-Boost] to analyze multi-type flood susceptibility in the study region. The performance of the ML models was also evaluated, and the XG-Boost model outperforms RF, demonstrating a higher correlation coefficient (R[2] = 0.561-0.922) and lower mean absolute error (MAE = 0.042-0.354), and root-mean-square error (RMSE = 0.119-0.415) for both training and testing datasets. The superior performance of the XG-Boost was further confirmed by the higher value of the area under the curve (AUC) values, which is relatively higher (0.87) than that of the AHP (0.70) and RF (0.86) models. Based on the relative best performance, the XG-Boost model was chosen for further susceptibility assessment of different types of floods, and the generated flood susceptibility maps revealed that 20.9% of the total area is susceptible to riverine flooding, while 30.27% and 48.68% of the total area is susceptible to urban and flash flooding, respectively. The study's findings are significant, offering valuable insights for relevant stakeholders in guiding future flood risk management and sustainable land use plans in the study area.},
}

*Floods
Pakistan
*Machine Learning
*Geographic Information Systems
Algorithms
Remote Sensing Technology

@article {pmid39420601,
year = {2024},
author = {Li, Z and Zhang, Y and Peng, B and Qin, S and Zhang, Q and Chen, Y and Chen, C and Bao, Y and Zhu, Y and Hong, Y and Liu, B and Liu, Q and Xu, L and Chen, X and Ma, X and Wang, H and Xie, L and Yao, Y and Deng, B and Li, J and De, B and Chen, Y and Wang, J and Li, T and Liu, R and Tang, Z and Cao, J and Zuo, E and Mei, C and Zhu, F and Shao, C and Wang, G and Sun, T and Wang, N and Liu, G and Ni, JQ and Liu, Y},
title = {A novel interpretable deep learning-based computational framework designed synthetic enhancers with broad cross-species activity.},
journal = {Nucleic acids research},
volume = {52},
number = {21},
pages = {13447-13468},
doi = {10.1093/nar/gkae912},
pmid = {39420601},
issn = {1362-4962},
support = {2021YFF1200500//China National Key R&D Program/ ; 32070595//National Natural Science Foundation of China/ ; 20221250020//Ministry of Science and Technology/ ; 20181300988//National Natural Science Foundation of China/ ; },
mesh = {*Enhancer Elements, Genetic ; Animals ; *Deep Learning ; Drosophila melanogaster/genetics ; Drosophila/genetics ; Humans ; Computational Biology/methods ; Gene Expression Regulation ; },
abstract = {Enhancers play a critical role in dynamically regulating spatial-temporal gene expression and establishing cell identity, underscoring the significance of designing them with specific properties for applications in biosynthetic engineering and gene therapy. Despite numerous high-throughput methods facilitating genome-wide enhancer identification, deciphering the sequence determinants of their activity remains challenging. Here, we present the DREAM (DNA cis-Regulatory Elements with controllable Activity design platforM) framework, a novel deep learning-based approach for synthetic enhancer design. Proficient in uncovering subtle and intricate patterns within extensive enhancer screening data, DREAM achieves cutting-edge sequence-based enhancer activity prediction and highlights critical sequence features implicating strong enhancer activity. Leveraging DREAM, we have engineered enhancers that surpass the potency of the strongest enhancer within the Drosophila genome by approximately 3.6-fold. Remarkably, these synthetic enhancers exhibited conserved functionality across species that have diverged more than billion years, indicating that DREAM was able to learn highly conserved enhancer regulatory grammar. Additionally, we designed silencers and cell line-specific enhancers using DREAM, demonstrating its versatility. Overall, our study not only introduces an interpretable approach for enhancer design but also lays out a general framework applicable to the design of other types of cis-regulatory elements.},
}

*Enhancer Elements, Genetic
Animals
*Deep Learning
Drosophila melanogaster/genetics
Drosophila/genetics
Humans
Computational Biology/methods
Gene Expression Regulation

@article {pmid39332349,
year = {2024},
author = {Sun, Q and Zhang, Z and Ping, Q and Wang, L and Li, Y},
title = {Insight into using multi-omics analysis to elucidate nitrogen removal mechanisms in a novel improved constructed rapid infiltration system: Functional gene and metabolite signatures.},
journal = {Water research},
volume = {267},
number = {},
pages = {122502},
doi = {10.1016/j.watres.2024.122502},
pmid = {39332349},
issn = {1879-2448},
mesh = {*Nitrogen/metabolism ; *Wastewater/chemistry ; Waste Disposal, Fluid/methods ; Denitrification ; Nitrification ; Metabolomics ; Metagenomics ; Ammonium Compounds/metabolism ; Multiomics ; },
abstract = {In this study, a laboratory-scale improved constructed rapid infiltration (imCRI) system with non-saturated and saturated layers was constructed, and corn cobs as solid carbon source were added to the saturated layer to enhance the removal of nitrogen. Combined analyses of metagenomics and metabolomics were conducted to elucidate the nitrogen removal mechanism in the imCRI system. The results showed that the hydraulic load significantly influenced the treatment performance of the imCRI system, and a hydraulic load of 1.25 m[3]/(m[2]⋅d) was recommended. Under optimal conditions, the imCRI system using simulated wastewater achieved average removal efficiencies of 97.8 % for chemical oxygen demand, 85.7 % for total nitrogen (TN), and 97.6 % for ammonia nitrogen. Metagenomic and metabolomic analyses revealed that besides nitrification and denitrification, dissimilatory nitrate reduction to ammonium (DNRA), anammox, etc., are also involved in nitrogen metabolism in the imCRI system. Although nitrification was the predominant pathway in the non-saturated layer, aerobic denitrification also occurred, accounting for 22.59 % of the TN removal. In the saturated layer, nitrogen removal was attributed to synergistic effects of denitrification, DNRA and anammox. Moreover, correlation analysis among nitrogen removal, functional genes and metabolites suggested that metabolites related to the tricarboxylic acid cycle generated from the glycolysis of corn cobs provided sufficient energy for denitrification. Our results can offer a promising technology for decentralized wastewater treatment with stringent nitrogen removal requirements, and provide a foundation for understanding the underlying nitrogen transformation and removal mechanism.},
}

*Nitrogen/metabolism
*Wastewater/chemistry
Waste Disposal, Fluid/methods
Denitrification
Nitrification
Metabolomics
Metagenomics
Ammonium Compounds/metabolism
Multiomics

@article {pmid39326182,
year = {2024},
author = {Li, D and Ping, Q and Mo, R and Guo, W and Zhang, S and Wang, L and Li, Y},
title = {Revealing synergistic mechanisms of biochar-assisted microbial electrolysis cells in enhancing the anaerobic digestion performance of waste activated sludge: Extracellular polymeric substances characterization, enzyme activity assay, and multi-omics analysis.},
journal = {Water research},
volume = {267},
number = {},
pages = {122501},
doi = {10.1016/j.watres.2024.122501},
pmid = {39326182},
issn = {1879-2448},
mesh = {*Sewage/microbiology ; Anaerobiosis ; *Extracellular Polymeric Substance Matrix/metabolism ; Charcoal/chemistry ; Waste Disposal, Fluid/methods ; Electrolysis ; Methane/metabolism ; Multiomics ; },
abstract = {Although biochar (BC)-assisted microbial electrolysis cells (MEC) has been shown to improve anaerobic digestion (AD) performance of waste activated sludge (WAS), the underlying mechanisms remain unclear. This study conducted an in-depth investigation into the mechanism based on analyses of extracellular polymeric substances (EPS) characteristics, enzyme activities and multi-omics. The results showed that compared with the control group, methane production improved by 16.73 %, 21.32 %, and 29.37 % in the BC, MEC, and BC-assisted MEC (BC-MEC) groups, respectively. The reconfiguration of the protein secondary structure increased the hydrophobicity of the EPS, thereby promoting microbial aggregation. In addition, partial least-squares path modeling (PLS-PM) and mantel test based on the enzyme activity and multi-omics analyses revealed that the promotional effect of MEC on the hydrolysis of WAS was superior to that of BC, while BC was more advantageous in promoting electron transfer and biofilm formation regulated by quorum sensing. The synergistic effects of BC and MEC were exemplified in the BC-MEC group. g_norank_Aminicenantales responsible for the hydrolysis of WAS was enriched (29.6 %), and the activities of hydrolytic enzymes including α-glucosidases and proteases were increased by 29.1 % and 43.6 %, respectively. Further, the expressions of genes related to acyl homoserine lactones (AHLs) and diffusible signal factor (DSF) in quorum sensing systems, as well as the genes related to hydrogenase involved in electron transfer (mbhJKL, hyfB-JR, hypA-F, and hoxFHUY), were up-regulated in the BC-MEC group. This facilitated electron transfer and microbial communication, consequently enhancing methane production. This research significantly advances the understanding of the mechanism by which BC-assisted MEC enhances AD performance and provides valuable insights into strategies for improving energy recovery from WAS.},
}

*Sewage/microbiology
Anaerobiosis
*Extracellular Polymeric Substance Matrix/metabolism
Charcoal/chemistry
Waste Disposal, Fluid/methods
Electrolysis
Methane/metabolism
Multiomics

@article {pmid39591213,
year = {2024},
author = {Roman-Ramos, H and Ho, PL},
title = {Current Technologies in Snake Venom Analysis and Applications.},
journal = {Toxins},
volume = {16},
number = {11},
pages = {},
doi = {10.3390/toxins16110458},
pmid = {39591213},
issn = {2072-6651},
support = {2017/18398-1//Fundação de Amparo à Pesquisa do Estado de São Paulo/ ; 309741/2023-8//National Council for Scientific and Technological Development/ ; },
mesh = {*Snake Venoms/chemistry ; Animals ; *Proteomics ; Humans ; Genomics ; Computational Biology ; Snakes ; },
abstract = {This comprehensive review explores the cutting-edge advancements in snake venom research, focusing on the integration of proteomics, genomics, transcriptomics, and bioinformatics. Highlighting the transformative impact of these technologies, the review delves into the genetic and ecological factors driving venom evolution, the complex molecular composition of venoms, and the regulatory mechanisms underlying toxin production. The application of synthetic biology and multi-omics approaches, collectively known as venomics, has revolutionized the field, providing deeper insights into venom function and its therapeutic potential. Despite significant progress, challenges such as the functional characterization of toxins and the development of cost-effective antivenoms remain. This review also discusses the future directions of venom research, emphasizing the need for interdisciplinary collaborations and new technologies (mRNAs, cryo-electron microscopy for structural determinations of toxin complexes, synthetic biology, and other technologies) to fully harness the biomedical potential of venoms and toxins from snakes and other animals.},
}

*Snake Venoms/chemistry
Animals
*Proteomics
Humans
Genomics
Computational Biology
Snakes

@article {pmid39589804,
year = {2024},
author = {Arias, M and Behrendt, L and Dreßler, L and Raka, A and Perrier, C and Elias, M and Gomez, D and Renoult, JP and Tedore, C},
title = {Testing the equivalency of human "predators" and deep neural networks in the detection of cryptic moths.},
journal = {Journal of evolutionary biology},
volume = {},
number = {},
pages = {},
doi = {10.1093/jeb/voae146},
pmid = {39589804},
issn = {1420-9101},
abstract = {Researchers have shown growing interest in using deep neural networks (DNNs) to efficiently test the effects of perceptual processes on the evolution of color patterns and morphologies. Whether this is a valid approach remains unclear, as it is unknown whether the relative detectability of ecologically relevant stimuli to DNNs actually matches that of biological neural networks. To test this, we compare image classification performance by humans and six DNNs (AlexNet, VGG-16, VGG-19, ResNet-18, SqueezeNet, and GoogLeNet) trained to detect artificial moths on tree trunks. Moths varied in their degree of crypsis, conferred by different sizes and spatial configurations of transparent wing elements. Like humans, four of six DNN architectures found moths with larger transparent elements harder to detect. However, humans and only one DNN architecture (GoogLeNet) found moths with transparent elements touching one side of the moth's outline harder to detect than moths with untouched outlines. When moths were small, the camouflaging effect of transparent elements touching the moth's outline was reduced for DNNs but enhanced for humans. Prey size can thus interact with camouflage type in opposing directions in humans and DNNs, which warrants a deeper investigation of size interactions with a broader range of stimuli. Overall, our results suggest that humans and DNNs responses had some similarities, but not enough to justify the widespread use of DNNs for studies of camouflage.},
}

@article {pmid39586965,
year = {2024},
author = {Gianicolo, E and Russo, A and Di Staso, R and Ronckers, CM and Schmidtmann, I and Wollschläger, D and Blettner, M},
title = {A municipality-specific analysis to investigate persistent increased incidence rates of childhood leukaemia near the nuclear power plant of Krümmel in Germany.},
journal = {European journal of epidemiology},
volume = {},
number = {},
pages = {},
pmid = {39586965},
issn = {1573-7284},
abstract = {Increased incidence rates for childhood leukaemia have been reported in municipalities close to the nuclear power plant (NPP) Krümmel (Geesthacht, Germany). Methodological challenges arise when analysing this association at ecological level. They include the use of an appropriate reference population, unstable estimates of standardised incidence ratios (SIRs), and the potential role of prevailing winds. The aim of our study is to address these challenges. The German Childhood Cancer Registry provided data on leukaemia in children under 15 years (2004-2019). The German Federal Statistical Office provided the population data. The study region included all municipalities with ≥ 75% surface area within 50 kms from the Krümmel NPP. We calculated SIRs using national and regional reference rates. Smoothed incidence relative rates (IRRs) were calculated and mapped to check for potential patterns associated with prevailing winds. Overall 356 cases of childhood leukaemia were observed in the study region (321 municipalities) during 2004-2019. SIRs based on national reference rates show nearly no difference to those calculated using the regional rates as reference. Increased SIR and IRR were observed in Geesthacht (observed-cases = eight; SIR = 2.29; 95% confidence interval: 0.99-4.51. IRR = 1.80; 95% credibility interval: 0.88-2.79). The analysis of the IRR map does not show patterns associated with prevailing winds. Using a regional population as the reference, we found evidence that there may still be an increased risk for childhood leukaemia in Geesthacht. However, IRR estimates are uncertain and credibility intervals are compatible with the absence of elevated risk. The persistent evidence of risk of childhood leukaemia in Geesthacht warrants further epidemiological surveillance.},
}

@article {pmid39585857,
year = {2024},
author = {Adderley-Heron, K and Chow-Fraser, P},
title = {Unsupervised classification of Blanding's turtle (Emydoidea blandingii) behavioural states from multi-sensor biologger data.},
journal = {PloS one},
volume = {19},
number = {11},
pages = {e0314291},
doi = {10.1371/journal.pone.0314291},
pmid = {39585857},
issn = {1932-6203},
mesh = {Animals ; *Turtles/physiology/classification ; Female ; Male ; *Behavior, Animal/physiology ; Accelerometry ; Markov Chains ; Geographic Information Systems ; Nesting Behavior/physiology ; },
abstract = {Classifying animal behaviors in their natural environments is both challenging and ecologically important, but the use of biologgers with multiple sensors has significantly advanced this research beyond the capabilities of traditional methods alone. Here, we show how biologgers containing an integrated tri-axial accelerometer, GPS logger and immersion sensor were used to infer behavioural states of a cryptic, freshwater turtle, the Blanding's turtle (Emydoidea blandingii). Biologgers were attached to three males and five females that reside in two undisturbed coastal marshes in northeastern Georgian Bay (Ontario, Canada) between May and July 2023. Raw acceleration values were separated into static and dynamic acceleration and subsequently used to calculate overall dynamic body acceleration (ODBA) and pitch. The unsupervised Hidden Markov Model (HMM) successfully differentiated five behavioural states as follows: active in water, resting in water, active out of water, resting in water, and nesting. Overall accuracy of the classification was 93.8%, and except for nesting (79%), all other behaviours were above 92%. There were significant differences in daily activity budgets between male and female turtles, with females spending a greater proportion of time active out of water, and inactive out of the water, while males spent a greater proportion of time active in water. These differences were likely a result of large seasonal life-history requirements such as nesting and mate finding. Accurate classification of behavioural states is important for researchers to understand fine-scale activities carried out during the active season and how environmental variables may influence the behaviours of turtles in their natural habitats.},
}

Animals
*Turtles/physiology/classification
Female
Male
*Behavior, Animal/physiology
Accelerometry
Markov Chains
Geographic Information Systems
Nesting Behavior/physiology

@article {pmid39585479,
year = {2024},
author = {Sahak, AS and Karsli, F and Saraj, MA},
title = {Evaluating the impact of urban sprawl on the urban ecological status using GIS and remote sensing from 2000 to 2021: a case study of Herat City, Afghanistan.},
journal = {Environmental monitoring and assessment},
volume = {196},
number = {12},
pages = {1246},
pmid = {39585479},
issn = {1573-2959},
mesh = {*Geographic Information Systems ; *Remote Sensing Technology ; *Environmental Monitoring/methods ; *Urbanization ; *Cities ; Afghanistan ; Conservation of Natural Resources/methods ; Ecosystem ; },
abstract = {Urbanization often incurs environmental costs, as fertile agricultural and forested lands are converted into urban areas. Herat City is currently undergoing significant urban transformation. This research aims to assess the impact of urban sprawl on Herat City's urban ecological status during 2000, 2013, and 2021, using GIS and remote sensing. The urban expansion intensity index was used to measure urban sprawl. The Mean Remote Sensing Ecological Index (MRSEI), integrating known granulation entropy (KGE) and comprehensive distance-based ranking (COBRA) algorithms, was utilized to evaluate urban ecological status. The random forest (RF) supervised machine learning-based algorithm was used to classify the study area into four categories (Built-up, Bare-land, Water, and Vegetation). Findings indicate rapid development from 2000 to 2013, followed by moderate expansion until 2021. Urban ecological quality degradation is observed in various directions over time, with the southeast consistently demonstrating excellent status. Interestingly, while good and excellent urban ecological status decreases over two decades, poor and very poor conditions improve. The research underscores an inverse relationship between urban expansion intensity and ecological status, highlighting the need for improved strategies to mitigate environmental decline. These findings will inform Afghan governmental bodies and international organizations, enabling them to better address resource consumption, ecological disruptions, social inequalities, and foster sustainable development.},
}

*Geographic Information Systems
*Remote Sensing Technology
*Environmental Monitoring/methods
*Urbanization
*Cities
Afghanistan
Conservation of Natural Resources/methods
Ecosystem

@article {pmid39583330,
year = {2024},
author = {Hakkenberg, CR and Clark, ML and Bailey, T and Burns, P and Goetz, SJ},
title = {Ladder fuels rather than canopy volumes consistently predict wildfire severity even in extreme topographic-weather conditions.},
journal = {Communications earth & environment},
volume = {5},
number = {1},
pages = {721},
pmid = {39583330},
issn = {2662-4435},
abstract = {Drivers of forest wildfire severity include fuels, topography and weather. However, because only fuels can be actively managed, quantifying their effects on severity has become an urgent research priority. Here we employed GEDI spaceborne lidar to consistently assess how pre-fire forest fuel structure affected wildfire severity across 42 California wildfires between 2019-2021. Using a spatial-hierarchical modeling framework, we found a positive concave-down relationship between GEDI-derived fuel structure and wildfire severity, marked by increasing severity with greater fuel loads until a decline in severity in the tallest and most voluminous forest canopies. Critically, indicators of canopy fuel volumes (like biomass and height) became decoupled from severity patterns in extreme topographic and weather conditions (slopes >20°; winds > 9.3 m/s). On the other hand, vertical continuity metrics like layering and ladder fuels more consistently predicted severity in extreme conditions - especially ladder fuels, where sparse understories were uniformly associated with lower severity levels. These results confirm that GEDI-derived fuel estimates can overcome limitations of optical imagery and airborne lidar for quantifying the interactive drivers of wildfire severity. Furthermore, these findings have direct implications for designing treatment interventions that target ladder fuels versus entire canopies and for delineating wildfire risk across topographic and weather conditions.},
}

@article {pmid39580513,
year = {2024},
author = {Li, J and Weckwerth, W and Waldherr, S},
title = {Network structure and fluctuation data improve inference of metabolic interaction strengths with the inverse Jacobian.},
journal = {NPJ systems biology and applications},
volume = {10},
number = {1},
pages = {137},
pmid = {39580513},
issn = {2056-7189},
support = {201806010428//China Scholarship Council (CSC)/ ; },
mesh = {Humans ; *Algorithms ; *Metabolic Networks and Pathways/genetics ; *Breast Neoplasms/metabolism/genetics ; *Metabolomics/methods ; Cell Line, Tumor ; Models, Biological ; Computational Biology/methods ; Female ; Systems Biology/methods ; },
abstract = {Based on high-throughput metabolomics data, the recently introduced inverse differential Jacobian algorithm can infer regulatory factors and molecular causality within metabolic networks close to steady-state. However, these studies assumed perturbations acting independently on each metabolite, corresponding to metabolic system fluctuations. In contrast, emerging evidence puts forward internal network fluctuations, particularly from gene expression fluctuations, leading to correlated perturbations on metabolites. Here, we propose a novel approach that exploits these correlations to quantify relevant metabolic interactions. By integrating enzyme-related fluctuations in the construction of an appropriate fluctuation matrix, we are able to exploit the underlying reaction network structure for the inverse Jacobian algorithm. We applied this approach to a model-based artificial dataset for validation, and to an experimental breast cancer dataset with two different cell lines. By highlighting metabolic interactions with significantly changed interaction strengths, the inverse Jacobian approach identified critical dynamic regulation points which are confirming previous breast cancer studies.},
}

Humans
*Algorithms
*Metabolic Networks and Pathways/genetics
*Breast Neoplasms/metabolism/genetics
*Metabolomics/methods
Cell Line, Tumor
Models, Biological
Computational Biology/methods
Female
Systems Biology/methods

@article {pmid39536049,
year = {2024},
author = {Zhao, Y and Cordero, OX and Tikhonov, M},
title = {Linear-regression-based algorithms can succeed at identifying microbial functional groups despite the nonlinearity of ecological function.},
journal = {PLoS computational biology},
volume = {20},
number = {11},
pages = {e1012590},
doi = {10.1371/journal.pcbi.1012590},
pmid = {39536049},
issn = {1553-7358},
mesh = {*Algorithms ; Linear Models ; *Ecosystem ; *Computational Biology/methods ; Models, Biological ; Microbiota/physiology ; Nonlinear Dynamics ; },
abstract = {Microbial communities play key roles across diverse environments. Predicting their function and dynamics is a key goal of microbial ecology, but detailed microscopic descriptions of these systems can be prohibitively complex. One approach to deal with this complexity is to resort to coarser representations. Several approaches have sought to identify useful groupings of microbial species in a data-driven way. Of these, recent work has claimed some empirical success at de novo discovery of coarse representations predictive of a given function using methods as simple as a linear regression, against multiple groups of species or even a single such group (the ensemble quotient optimization (EQO) approach). Modeling community function as a linear combination of individual species' contributions appears simplistic. However, the task of identifying a predictive coarsening of an ecosystem is distinct from the task of predicting the function well, and it is conceivable that the former could be accomplished by a simpler methodology than the latter. Here, we use the resource competition framework to design a model where the "correct" grouping to be discovered is well-defined, and use synthetic data to evaluate and compare three regression-based methods, namely, two proposed previously and one we introduce. We find that regression-based methods can recover the groupings even when the function is manifestly nonlinear; that multi-group methods offer an advantage over a single-group EQO; and crucially, that simpler (linear) methods can outperform more complex ones.},
}

*Algorithms
Linear Models
*Ecosystem
*Computational Biology/methods
Models, Biological
Microbiota/physiology
Nonlinear Dynamics

@article {pmid39483086,
year = {2024},
author = {Behera, BP and Naik, H and Konkimalla, VB},
title = {Peptaloid: A Comprehensive Database for Exploring Peptide Alkaloid.},
journal = {Journal of chemical information and modeling},
volume = {64},
number = {22},
pages = {8387-8395},
doi = {10.1021/acs.jcim.4c01667},
pmid = {39483086},
issn = {1549-960X},
mesh = {*Peptides/chemistry ; *Alkaloids/chemistry/pharmacology ; Databases, Protein ; Machine Learning ; Databases, Factual ; Humans ; },
abstract = {Peptaloid is the first dedicated database for peptide alkaloid molecules, a unique class of naturally derived compounds known for their structural diversity and significant biological activities. Despite their promising potential in drug discovery and therapeutic development, research on peptide alkaloids has been limited by the absence of a comprehensive and centralized resource. Fragmented data across various sources have posed a significant challenge, underscoring the need for a specialized database to facilitate more efficient research and application. Peptaloid addresses this critical gap by providing a database with over 161,000 peptide alkaloid entries, each detailed with structural, physicochemical, and pharmacological properties. By leveraging advanced computational tools and machine learning, Peptaloid generates ADMET profiles, aiding in identifying and optimizing therapeutic candidates. Designed for versatility, the database supports various applications beyond drug discovery, including ecology and material sciences. Peptaloid (as a specialized database for peptide alkaloids) will play a crucial role in innovation and collaboration across scientific disciplines. Peptaloid is accessible at https://peptaloid.niser.ac.in.},
}

*Peptides/chemistry
*Alkaloids/chemistry/pharmacology
Databases, Protein
Machine Learning
Databases, Factual
Humans

@article {pmid39578727,
year = {2024},
author = {Ang'ang'o, LM and Herren, JK and Tastan Bishop, Ö},
title = {Bioinformatics analysis of the Microsporidia sp. MB genome: a malaria transmission-blocking symbiont of the Anopheles arabiensis mosquito.},
journal = {BMC genomics},
volume = {25},
number = {1},
pages = {1132},
pmid = {39578727},
issn = {1471-2164},
mesh = {*Anopheles/microbiology/parasitology/genetics ; Animals ; *Microsporidia/genetics ; *Symbiosis ; *Computational Biology/methods ; *Genome, Fungal ; Malaria/transmission ; Phylogeny ; Mosquito Vectors/microbiology/genetics ; Genomics/methods ; RNA Interference ; },
abstract = {BACKGROUND: The use of microsporidia as a disease-transmission-blocking tool has garnered significant attention. Microsporidia sp. MB, known for its ability to block malaria development in mosquitoes, is an optimal candidate for supplementing malaria vector control methods. This symbiont, found in Anopheles mosquitoes, can be transmitted both vertically and horizontally with minimal effects on its mosquito host. Its genome, recently sequenced from An. arabiensis, comprises a compact 5.9 Mbp.

RESULTS: Here, we analyze the Microsporidia sp. MB genome, highlighting its major genomic features, gene content, and protein function. The genome contains 2247 genes, predominantly encoding enzymes. Unlike other members of the Enterocytozoonida group, Microsporidia sp. MB has retained most of the genes in the glycolytic pathway. Genes involved in RNA interference (RNAi) were also identified, suggesting a mechanism for host immune suppression. Importantly, meiosis-related genes (MRG) were detected, indicating potential for sexual reproduction in this organism. Comparative analyses revealed similarities with its closest relative, Vittaforma corneae, despite key differences in host interactions.

CONCLUSION: This study provides an in-depth analysis of the newly sequenced Microsporidia sp. MB genome, uncovering its unique adaptations for intracellular parasitism, including retention of essential metabolic pathways and RNAi machinery. The identification of MRGs suggests the possibility of sexual reproduction, offering insights into the symbiont's evolutionary strategies. Establishing a reference genome for Microsporidia sp. MB sets the foundation for future studies on its role in malaria transmission dynamics and host-parasite interactions.},
}

*Anopheles/microbiology/parasitology/genetics
Animals
*Microsporidia/genetics
*Symbiosis
*Computational Biology/methods
*Genome, Fungal
Malaria/transmission
Phylogeny
Mosquito Vectors/microbiology/genetics
Genomics/methods
RNA Interference

@article {pmid39570888,
year = {2024},
author = {Cuesta-Aguirre, DR and Malgosa, A and Santos, C},
title = {An easy-to-use pipeline to analyze amplicon-based Next Generation Sequencing results of human mitochondrial DNA from degraded samples.},
journal = {PloS one},
volume = {19},
number = {11},
pages = {e0311115},
pmid = {39570888},
issn = {1932-6203},
mesh = {*DNA, Mitochondrial/genetics ; Humans ; *High-Throughput Nucleotide Sequencing/methods ; Sequence Analysis, DNA/methods ; Computational Biology/methods ; Software ; Forensic Genetics/methods ; DNA, Ancient/analysis ; },
abstract = {Genome and transcriptome examinations have become more common due to Next-Generation Sequencing (NGS), which significantly increases throughput and depth coverage while reducing costs and time. Mitochondrial DNA (mtDNA) is often the marker of choice in degraded samples from archaeological and forensic contexts, as its higher number of copies can improve the success of the experiment. Among other sequencing strategies, amplicon-based NGS techniques are currently being used to obtain enough data to be analyzed. There are some pipelines designed for the analysis of ancient mtDNA samples and others for the analysis of amplicon data. However, these pipelines pose a challenge for non-expert users and cannot often address both ancient and forensic DNA particularities and amplicon-based sequencing simultaneously. To overcome these challenges, a user-friendly bioinformatic tool was developed to analyze the non-coding region of human mtDNA from degraded samples recovered in archaeological and forensic contexts. The tool can be easily modified to fit the specifications of other amplicon-based NGS experiments. A comparative analysis between two tools, MarkDuplicates from Picard and dedup parameter from fastp, both designed for duplicate removal was conducted. Additionally, various thresholds of PMDtools, a specialized tool designed for extracting reads affected by post-mortem damage, were used. Finally, the depth coverage of each amplicon was correlated with its level of damage. The results obtained indicated that, for removing duplicates, dedup is a better tool since retains more non-repeated reads, that are removed by MarkDuplicates. On the other hand, a PMDS = 1 in PMDtools was the threshold that allowed better differentiation between present-day and ancient samples, in terms of damage, without losing too many reads in the process. These two bioinformatic tools were added to a pipeline designed to obtain both haplotype and haplogroup of mtDNA. Furthermore, the pipeline presented in the present study generates information about the quality and possible contamination of the sample. This pipeline is designed to automatize mtDNA analysis, however, particularly for ancient samples, some manual analyses may be required to fully validate results since the amplicons that used to be more easily recovered were the ones that had fewer reads with damage, indicating that special care must be taken for poor recovered samples.},
}

*DNA, Mitochondrial/genetics
Humans
*High-Throughput Nucleotide Sequencing/methods
Sequence Analysis, DNA/methods
Computational Biology/methods
Software
Forensic Genetics/methods
DNA, Ancient/analysis

@article {pmid39198479,
year = {2024},
author = {Zhu, J and Li, Z and Yang, J and Yu, K and Zhang, D and Zhong, J},
title = {Ecological space management and control zoning of Giant Panda National Park from the perspective of ecosystem services and land use.},
journal = {Scientific reports},
volume = {14},
number = {1},
pages = {19951},
pmid = {39198479},
issn = {2045-2322},
support = {GJGY2020-ZD002//Key Project of National Park Research Center, Key Social Science Research Base of Sichuan Province, "National Park Natural Ecosystem Service Function Importance Evaluation and Protection Policy Research"/ ; ZDJS202303//Chengdu University of Technology "Double First-Class" initiative Construction Philosophy and Social Sciences Key Construction Project/ ; },
mesh = {Animals ; Bayes Theorem ; Carbon Sequestration ; China ; Computer Simulation ; *Conservation of Natural Resources/legislation & jurisprudence/methods ; Conservation of Water Resources ; Datasets as Topic ; *Ecosystem ; *Parks, Recreational/legislation & jurisprudence/organization & administration/standards ; Probability ; Soil ; *Ursidae ; Ecology/legislation & jurisprudence/methods/organization & administration ; },
abstract = {Since China proposed building a national park system in 2017, the establishment of a planning system for nature reserves, with national parks as the main body, is being actively promoted around the country. Among them, scientific ecological space management and control zoning (ESMCZ) is an important link in maintaining the ecological stability of national parks. How to zone national parks and how to improve the precision of zoning has become a new task for national parks. Therefore, this study takes the Giant Panda National Park as the study area, takes ecosystem services and land use/cover change as the research perspective, integrates the InVEST model, PLUS model and bayes belief network (BBN) model, and builds a set of ecological space management and control zoning (ESMCZ) spatial zoning framework based on raster scale, dividing the study area into strictly protected zone, ecological buffer zone, ecological control zone and controlled development zone. The results showed that: (1) The study area showed an increasing trend in water conservation, soil conservation and carbon storage from 2005 to 2020, and the habitat quality index was generally high. The spatial heterogeneity of ecosystem services in the study area was significant, and the effect of a single factor on ecosystem services was most pronounced. (2) Large variation in area for different land uses under natural development scenarios and ecological protection scenarios. In both scenarios, the area of cultivated land, the area of grassland and the area of unused land decrease relative to 2020, and the area of forested land, the area of water and the area of constructed land increase relative to 2020. (3) The Giant Panda National Park is divided into strictly protected zone, ecological buffer zone, ecological control zone and control development zone, of which the strictly protected zone have the largest area and the best ecosystem background condition, and the control development zone have the smallest area and the worst ecosystem background condition. (4) The ecological space management and control zoning (ESMCZ) framework provides a more refined method for the secondary zoning of nature reserves such as the Giant Panda National Park, which is valuable for the implementation of zoning and categorization management for ecological conservation in the Giant Panda National Park.},
}

Animals
Bayes Theorem
Carbon Sequestration
China
Computer Simulation
*Conservation of Natural Resources/legislation & jurisprudence/methods
Conservation of Water Resources
Datasets as Topic
*Ecosystem
*Parks, Recreational/legislation & jurisprudence/organization & administration/standards
Probability
Soil
*Ursidae
Ecology/legislation & jurisprudence/methods/organization & administration

@article {pmid39569566,
year = {2024},
author = {Sung, ML and León, C and Reisman, JI and Gordon, KS and Kerns, RD and Li, W and Liu, W and Mitra, A and Yu, H and Becker, WC},
title = {Disparities in Receipt of Medications for Opioid Use Disorder Before and During the COVID-19 Pandemic in the US Veterans Health Administration.},
journal = {Substance use & addiction journal},
volume = {},
number = {},
pages = {29767342241293334},
doi = {10.1177/29767342241293334},
pmid = {39569566},
issn = {2976-7350},
abstract = {BACKGROUND: Populations disproportionately impacted by the opioid epidemic are less likely to receive medications for opioid use disorder (MOUD; OUD). The COVID-19 pandemic exacerbated these disparities. We performed an ecological survey of subpopulations to compare differences in MOUD receipt among Veterans with OUD before versus during the pandemic.

METHODS: Using 2 cross-sections of 2 time periods of national Veterans Health Administration electronic health record data, we calculated proportions of Veterans with any MOUD receipt by demographics, Elixhauser comorbidity index, and natural language processing (NLP)-derived substance use and social determinants of health in each time period. We evaluated differences in MOUD receipt before and during the pandemic by patient characteristics using Chi-square and Cohen's h for effect size.

RESULTS: Among 62 195 patients with OUD before the pandemic, the proportion prescribed MOUD increased from 46.5% before to 47.5% (P = .0003) during the pandemic. Statistically significant increased receipt of MOUD was observed for patients who were ≥55 years, men, White, with Elixhauser comorbidity indices of 2 and ≥5, and with NLP-derived indicators of substance use. There was a decrease that did not achieve statistical significance in MOUD receipt from before to during the pandemic for patients who were women, Black, Latinx, and food insecure.

CONCLUSIONS: The proportions of patients with OUD prescribed MOUD increased from before to during the pandemic. However, Veterans who were women, Black, Latinx, and food insecure did not experience these increases. These patients may benefit from interventions such as targeted outreach efforts to improve MOUD engagement to reduce OUD harms.},
}

@article {pmid39569448,
year = {2024},
author = {Yu, Y and Edelson, M and Pham, A and Pekar, JE and Johnson, B and Post, K and Kuo, TT},
title = {Distributed, immutable, and transparent biomedical limited data set request management on multi-capacity network.},
journal = {Journal of the American Medical Informatics Association : JAMIA},
volume = {},
number = {},
pages = {},
doi = {10.1093/jamia/ocae288},
pmid = {39569448},
issn = {1527-974X},
support = {R01EB031030//U.S. National Institutes of Health/ ; },
abstract = {OBJECTIVE: Our study aimed to expedite data sharing requests of Limited Data Sets (LDS) through the development of a streamlined platform that allows distributed, immutable management of network activities, provides transparent and intuitive auditing of data access history, and systematically evaluated it on a multi-capacity network setting for meaningful efficiency metrics.

MATERIALS AND METHODS: We developed a blockchain-based system with six types of smart contracts to automate the LDS sharing process among major stakeholders. Our workflow included metadata initialization, access-request processing, and audit-log querying. We evaluated our system using synthetic data on three machines with varying specifications to emulate real-world scenarios. The data employed included ∼1000 researcher requests and ∼360 000 log queries.

RESULTS: On average, it took ∼2.5 s to register and respond to a researcher access request. The average runtime for an audit-log query with non-empty output was ∼3 ms. The runtime metrics at each institution showed general trends affiliated with their computational capacity.

DISCUSSION: Our system can reduce the LDS sharing request time from potentially hours to seconds, while enhancing data access transparency in a multi-institutional setting. There were variations in performance across sites that could be attributed to differences in hardware specifications. The performance gains became marginal beyond certain hardware thresholds, pointing to the influence of external factors such as network speeds.

CONCLUSION: Our blockchain-based system can potentially accelerate clinical research by strengthening the data access process, expediting access and delivery of data links, increasing transparency with clear audit trails, and reinforcing trust in medical data management. Our smart contracts are available at: https://github.com/graceyufei/LDS-Request-Management.},
}

@article {pmid39568559,
year = {2024},
author = {Boyes, D and Hutchinson, F and Crowley, LM and Boyes, C and , and , and , and , and , and , and , },
title = {The genome sequence of the Silver-barred Sober moth, Aproaerema taeniolella (Zeller, 1839).},
journal = {Wellcome open research},
volume = {9},
number = {},
pages = {500},
pmid = {39568559},
issn = {2398-502X},
abstract = {We present a genome assembly of a female Silver-barred Sober moth Aproaerema taeniolella (Arthropoda; Insecta; Lepidoptera; Gelechiidae). The genome sequence has a length of 636.60 megabases. Most of the assembly is scaffolded into 31 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled and is 15.19 kilobases in length. Gene annotation of this assembly on Ensembl identified 22,274 protein-coding genes.},
}

@article {pmid39564491,
year = {2024},
author = {Zhang, Y and Wang, M and Huang, M and Zhao, J},
title = {Innovative strategies and challenges mosquito-borne disease control amidst climate change.},
journal = {Frontiers in microbiology},
volume = {15},
number = {},
pages = {1488106},
pmid = {39564491},
issn = {1664-302X},
abstract = {The revival of the transmission dynamics of mosquito-borne diseases grants striking challenges to public health intensified by climate change worldwide. This inclusive review article examines multidimensional strategies and challenges linked to climate change and the epidemiology of mosquito-borne diseases such as malaria, dengue, Zika, chikungunya, and yellow fever. It delves into how the biology, pathogenic dynamics, and vector distribution of mosquitoes are influenced by continuously rising temperatures, modified rainfall patterns, and extreme climatic conditions. We also highlighted the high likelihood of malaria in Africa, dengue in Southeast Asia, and blowout of Aedes in North America and Europe. Modern predictive tools and developments in surveillance, including molecular gears, Geographic Information Systems (GIS), and remote sensing have boosted our capacity to predict epidemics. Integrated data management techniques and models based on climatic conditions provide a valuable understanding of public health planning. Based on recent data and expert ideas, the objective of this review is to provide a thoughtful understanding of existing landscape and upcoming directions in the control of mosquito-borne diseases regarding changing climate. This review determines emerging challenges and innovative vector control strategies in the changing climatic conditions to ensure public health.},
}

@article {pmid37427807,
year = {2024},
author = {Liu, S and Gates, KM and Ferrer, E},
title = {Homogeneity Assumptions in the Analysis of Dynamic Processes.},
journal = {Multivariate behavioral research},
volume = {59},
number = {6},
pages = {1166-1176},
doi = {10.1080/00273171.2023.2225172},
pmid = {37427807},
issn = {1532-7906},
mesh = {Humans ; *Emotions ; Data Interpretation, Statistical ; Models, Statistical ; Female ; },
abstract = {With the increased use of time series data in human research, ranging from ecological momentary assessments to data passively obtained, researchers can explore dynamic processes more than ever before. An important question researchers must ask themselves is, do I think all individuals have similar processes? If not, how different, and in what ways? Dr. Peter Molenaar's work set the foundation to answer these questions by providing insight into individual-level analysis for processes that are assumed to differ across individuals in at least some aspects. Currently, such assumptions do not have a clear taxonomy regarding the degree of homogeneity in the patterns of relations among variables and the corresponding parameter values. This paper provides the language with which researchers can discuss assumptions inherent in their analyses. We define strict homogeneity as the assumption that all individuals have an identical pattern of relations as well as parameter values; pattern homogeneity assumes the same pattern of relations but parameter values can differ; weak homogeneity assumes there are some (but not all) generalizable aspects of the process; and no homogeneity explicitly assumes no population-level similarities in dynamic processes across individuals. We demonstrate these assumptions with an empirical data set of daily emotions in couples.},
}

Humans
*Emotions
Data Interpretation, Statistical
Models, Statistical
Female

@article {pmid39563951,
year = {2024},
author = {Sivell, O and Hawkes, WLS and , and , and , and , and , and , and , },
title = {The genome sequence of the silvery leafcutter bee, Megachile leachella Curtis, 1828.},
journal = {Wellcome open research},
volume = {9},
number = {},
pages = {415},
pmid = {39563951},
issn = {2398-502X},
abstract = {We present a genome assembly from an individual female Megachile leachella (the silvery leafcutter bee; Arthropoda; Insecta; Hymenoptera; Megachilidae). The genome sequence is 573.0 megabases in span. Most of the assembly is scaffolded into 16 chromosomal pseudomolecules. The mitochondrial genome has also been assembled and is 21.04 kilobases in length.},
}

@article {pmid39563229,
year = {2024},
author = {Toth, AL and Wyatt, CDR and Masonbrink, RE and Geist, KS and Fortune, R and Scott, SB and Favreau, E and Rehan, SM and Sumner, S and Gardiner, MM and Sivakoff, FS},
title = {New genomic resources inform transcriptomic responses to heavy metal toxins in the common Eastern bumble bee Bombus impatiens.},
journal = {BMC genomics},
volume = {25},
number = {1},
pages = {1106},
pmid = {39563229},
issn = {1471-2164},
support = {20176701326595//USDA National Institute of Food and Agriculture/ ; 1929239//NSF DEB-NERC/ ; },
mesh = {Animals ; Bees/genetics/drug effects ; *Metals, Heavy/toxicity ; *Transcriptome ; Genomics/methods ; Molecular Sequence Annotation ; Gene Expression Profiling ; Genome, Insect ; Toxins, Biological/genetics ; },
abstract = {BACKGROUND: The common Eastern bumble bee Bombus impatiens is native to North America and is the main commercially reared pollinator in the Americas. There has been extensive research on this species related to its social biology, applied pollination, and genetics. The genome of this species was previously sequenced using short-read technology, but recent technological advances provide an opportunity for substantial improvements. This species is common in agricultural and urban environments, and heavy metal contaminants produced by industrial processes can negatively impact it. To begin to identify possible mechanisms underlying responses to these toxins, we used RNA-sequencing to examine how exposure to a cocktail of four heavy metals at field-realistic levels from industrial areas affected B. impatiens worker gene expression.

RESULTS: PacBio long-read sequencing resulted in 544x coverage of the genome, and HiC technology was used to map chromatin contacts. Using Juicer and manual curation, the genome was scaffolded into 18 main pseudomolecules, representing a high quality, chromosome-level assembly. The sequenced genome size is 266.6 Mb and BRAKER3 annotation produced 13,938 annotated genes. The genome and annotation show high completeness, with ≥ 96% of conserved Eukaryota and Hymenoptera genes present in both the assembly and annotated genes. RNA sequencing of heavy metal exposed workers revealed 603 brain and 34 fat body differentially expressed genes. In the brain, differentially expressed genes had biological functions related to chaperone activity and protein folding.

CONCLUSIONS: Our data represent a large improvement in genomic resources for this important model species-with 10% more genome coverage than previously available, and a high-quality assembly into 18 chromosomes, the expected karyotype for this species. The new gene annotation added 777 new genes. Altered gene expression in response to heavy metal exposure suggests a possible mechanism for how these urban toxins are negatively impacting bee health, specifically by altering protein folding in the brain. Overall, these data are useful as a general high quality genomic resource for this species, and provide insight into mechanisms underlying tissue-specific toxicological responses of bumble bees to heavy metals.},
}

Animals
Bees/genetics/drug effects
*Metals, Heavy/toxicity
*Transcriptome
Genomics/methods
Molecular Sequence Annotation
Gene Expression Profiling
Genome, Insect
Toxins, Biological/genetics

@article {pmid39556417,
year = {2024},
author = {Helgeson, SA and Mudgalkar, RM and Jacobs, KA and Lee, AS and Sanghavi, D and Moreno Franco, P and Brooks, IS and , },
title = {Association Between X/Twitter and Prescribing Behavior During the COVID-19 Pandemic: Retrospective Ecological Study.},
journal = {JMIR infodemiology},
volume = {4},
number = {},
pages = {e56675},
doi = {10.2196/56675},
pmid = {39556417},
issn = {2564-1891},
mesh = {Humans ; Retrospective Studies ; *Hydroxychloroquine/therapeutic use ; *Social Media ; United States/epidemiology ; *COVID-19/epidemiology ; *Practice Patterns, Physicians' ; Pandemics ; COVID-19 Drug Treatment ; Male ; Female ; Middle Aged ; SARS-CoV-2/drug effects ; },
abstract = {BACKGROUND: Social media has become a vital tool for health care providers to quickly share information. However, its lack of content curation and expertise poses risks of misinformation and premature dissemination of unvalidated data, potentially leading to widespread harmful effects due to the rapid and large-scale spread of incorrect information.

OBJECTIVE: We aim to determine whether social media had an undue association with the prescribing behavior of hydroxychloroquine, using the COVID-19 pandemic as the setting.

METHODS: In this retrospective study, we gathered the use of hydroxychloroquine in 48 hospitals in the United States between January and December 2020. Social media data from X/Twitter was collected using Brandwatch, a commercial aggregator with access to X/Twitter's data, and focused on mentions of "hydroxychloroquine" and "Plaquenil." Tweets were categorized by sentiment (positive, negative, or neutral) using Brandwatch's sentiment analysis tool, with results classified by date. Hydroxychloroquine prescription data from the National COVID Cohort Collaborative for 2020 was used. Granger causality and linear regression models were used to examine relationships between X/Twitter mentions and prescription trends, using optimum time lags determined via vector auto-regression.

RESULTS: A total of 581,748 patients with confirmed COVID-19 were identified. The median daily number of positive COVID-19 cases was 1318.5 (IQR 1005.75-1940.3). Before the first confirmed COVID-19 case, hydroxychloroquine was prescribed at a median rate of 559 (IQR 339.25-728.25) new prescriptions per day. A day-of-the-week effect was noted in both prescriptions and case counts. During the pandemic in 2020, hydroxychloroquine prescriptions increased significantly, with a median of 685.5 (IQR 459.75-897.25) per day, representing a 22.6% rise from baseline. The peak occurred on April 2, 2020, with 3411 prescriptions, a 397.6% increase. Hydroxychloroquine mentions on X/Twitter peaked at 254,770 per day on April 5, 2020, compared to a baseline of 9124 mentions per day before January 21, 2020. During this study's period, 3,823,595 total tweets were recorded, with 10.09% (n=386,115) positive, 37.87% (n=1,448,030) negative, and 52.03% (n=1,989,450) neutral sentiments. A 1-day lag was identified as the optimal time for causal association between tweets and hydroxychloroquine prescriptions. Univariate analysis showed significant associations across all sentiment types, with the largest impact from positive tweets. Multivariate analysis revealed only neutral and negative tweets significantly affected next-day prescription rates.

CONCLUSIONS: During the first year of the COVID-19 pandemic, there was a significant association between X/Twitter mentions and the number of prescriptions of hydroxychloroquine. This study showed that X/Twitter has an association with the prescribing behavior of hydroxychloroquine. Clinicians need to be vigilant about their potential unconscious exposure to social media as a source of medical knowledge, and health systems and organizations need to be more diligent in identifying expertise, source, and quality of evidence when shared on social media platforms.},
}

Humans
Retrospective Studies
*Hydroxychloroquine/therapeutic use
*Social Media
United States/epidemiology
*COVID-19/epidemiology
*Practice Patterns, Physicians'
Pandemics
COVID-19 Drug Treatment
Male
Female
Middle Aged
SARS-CoV-2/drug effects

@article {pmid39387871,
year = {2024},
author = {Smith, SJ and Cummins, SF and Motti, CA and Wang, T},
title = {A mass spectrometry database for the identification of marine animal saponin-related metabolites.},
journal = {Analytical and bioanalytical chemistry},
volume = {416},
number = {29},
pages = {6893-6907},
pmid = {39387871},
issn = {1618-2650},
mesh = {*Saponins/analysis/metabolism ; Animals ; *Aquatic Organisms/chemistry/metabolism ; *Mass Spectrometry/methods ; Databases, Factual ; },
abstract = {Saponins encompass a diverse group of naturally occurring glycoside molecules exhibiting amphiphilic properties and a broad range of biological activities. There is a resurgence of interest in those saponins produced by marine organisms based on their potential therapeutic benefits, application in food products and most recently their potential involvement in intra- and inter-species chemical communication. The continual advancements in liquid chromatography techniques and mass spectrometry technologies have allowed for greater detection rates, as well as improved isolation and elucidation of saponins. These factors have significantly contributed to the expansion in the catalogue of known saponin structures isolated from marine invertebrates; however, there currently exists no specific chemical library resource to accelerate the discovery process. In this study, a Marine Animal Saponin Database (MASD v1.0) has been developed to serve as a valuable chemical repository for known marine saponin-related data, including chemical formula, molecular mass and biological origin of nearly 1000 secondary metabolites associated with saponins produced by marine invertebrates. We demonstrate its application with an exemplar asteroid extract (Acanthaster cf. solaris, also known as crown-of-thorns starfish; COTS), identifying saponins from the MASD v1.0 that have been previously reported from COTS, as well as 21 saponins isolated from multiple other related asteroid species. This database will help facilitate future research endeavours, aiding researchers in exploring the vast chemical diversity of saponins produced by marine organisms and providing ecological insights, and the realisation of their potential for various applications, including as pharmaceuticals.},
}

*Saponins/analysis/metabolism
Animals
*Aquatic Organisms/chemistry/metabolism
*Mass Spectrometry/methods
Databases, Factual

@article {pmid39440963,
year = {2024},
author = {Wang, Y and Sun, Y and Huang, K and Gao, Y and Lin, Y and Yuan, B and Wang, X and Xu, G and Nussio, LG and Yang, F and Ni, K},
title = {Multi-omics analysis reveals the core microbiome and biomarker for nutrition degradation in alfalfa silage fermentation.},
journal = {mSystems},
volume = {9},
number = {11},
pages = {e0068224},
doi = {10.1128/msystems.00682-24},
pmid = {39440963},
issn = {2379-5077},
support = {32171686//MOST | National Natural Science Foundation of China (NSFC)/ ; },
mesh = {*Medicago sativa/microbiology/metabolism ; *Silage/microbiology ; *Fermentation ; *Microbiota/genetics ; Animals ; Biomarkers/metabolism ; Bacteria/genetics/metabolism/classification/isolation & purification ; Metagenomics/methods ; High-Throughput Nucleotide Sequencing ; Cattle ; Multiomics ; },
abstract = {UNLABELLED: Alfalfa (Medicago sativa L.) is one of the most extensively cultivated forage crops globally, and its nutritional quality critically influences the productivity of dairy cows. Silage fermentation is recognized as a crucial technique for the preservation of fresh forage, ensuring the retention of its vital nutrients. However, the detailed microbial components and their functions in silage fermentation are not fully understood. This study integrated large-scale microbial culturing with high-throughput sequencing to thoroughly examine the microbial community structure in alfalfa silage and explored the potential pathways of nutritional degradation via metagenomic analysis. The findings revealed an enriched microbial diversity in silage, indicated by the identification of amplicon sequence variants. Significantly, the large-scale culturing approach recovered a considerable number of unique microbes undetectable by high-throughput sequencing. Predominant genera, such as Lactiplantibacillus, Leuconostoc, Lentilactobacillus, Weissella, and Liquorilactobacillus, were identified based on their abundance and prevalence. Additionally, genes associated with Enterobacteriaceae were discovered, which might be involved in pathways leading to the production of ammonia-N and butyric acid. Overall, this study offers a comprehensive insight into the microbial ecology of silage fermentation and provides valuable information for leveraging microbial consortia to enhance fermentation quality.

IMPORTANCE: Silage fermentation is a microbial-driven anaerobic process that efficiently converts various substrates into nutrients readily absorbable and metabolizable by ruminant animals. This study, integrating culturomics and metagenomics, has successfully identified core microorganisms involved in silage fermentation, including those at low abundance. This discovery is crucial for the targeted cultivation of specific microorganisms to optimize fermentation processes. Furthermore, our research has uncovered signature microorganisms that play pivotal roles in nutrient metabolism, significantly advancing our understanding of the intricate relationships between microbial communities and nutrient degradation during silage fermentation.},
}

*Medicago sativa/microbiology/metabolism
*Silage/microbiology
*Fermentation
*Microbiota/genetics
Animals
Biomarkers/metabolism
Bacteria/genetics/metabolism/classification/isolation & purification
Metagenomics/methods
High-Throughput Nucleotide Sequencing
Cattle
Multiomics