Source Themes

Transformer-based Prediction of Microbial Growth Rates from Genomic Data

Accurate estimation of microbial growth rates is essential for un- derstanding microbial life strategies, their ecological roles, and cultivation potential. Existing computational methods that infer growth rates—particularly minimum doubling …

A global comparison of surface and subsurface microbiomes reveals large-scale biodiversity gradients, and a marine-terrestrial divide

Depth-specific distribution of bacterial MAGs in permafrost active layer in Ny Ålesund, Svalbard (79°N)

Arctic soil microbial communities may shift with increasing temperatures and water availability from climate change. We examined temperature and volumetric liquid water content (VWC) in the upper cm of permafrost- affected soil over years (2018 – …

A simple BLASTn-based approach generates novel insights into the regulation and biological function of type I toxin-antitoxins

Bacterial chromosomal type I toxin-antitoxin systems consist of a small protein, typically under amino acids, and a small RNA (sRNA) that represses toxin translation. These gene pairs have gained attention over the last decade for their contribution …

Control of hydrogen concentrations by microbial sulfate reduction in two contrasting anoxic coastal sediments

Depth‐Partitioning of Particulate Organic Carbon Composition in the Rising and Falling Stages of the Amazon River

The Amazon River mobilizes organic carbon across one of the world's largest terrestrial carbon reservoirs. Quantifying the sources of particulate organic carbon (POC) to this flux is typically challenging in large systems such as the Amazon River due …

Biogeochemistry of Earth before exoenzymes

Complex organic matter degradation by secondary consumers in chemolithoautotrophy-based subsurface geothermal ecosystems

Microbial communities in terrestrial geothermal systems often contain chemolithoautotrophs with well-characterized distributions and metabolic capabilities. However, the extent to which organic matter produced by these chemolithoautotrophs supports …

Adapting Protein Language Models for Explainable Fine-Grained Evolutionary Pattern Discovery

A comparison of dimensionality reduction methods for large biological data

Large-scale data often suffer from the curse of dimensionality and the constraints associated with it; therefore, dimensionality reduc- tion methods are often performed prior to most machine learning pipelines. In this paper, we directly compare …