JL Weissman

This study shows that experimental design affects qSIP-derived metabolic activity estimates in aquatic bacteria, with chemostats reducing the competitive advantage of fast-growing taxa.

The paper develops a genomic index to predict microbial success in permafrost thaw by analyzing growth optimization and validates it with incubation experiments.

This study identifies metabolic niches in marine heterotrophs using global metagenomic data and models, linking microbial diversity to carbon cycling rates.

The paper develops gene-length specific models to predict community average maximum growth rates from soil metagenomes without requiring assembly.

The paper examines how temperature affects microbial growth optimization and shows that genomic signatures of growth optimization better predict ecological roles than maximum growth rates.

The paper sequences and analyzes 15 shotgun metagenomes from tidal lagoons, reconstructing 129 high-quality metagenome-assembled genomes to provide a baseline for microbial community studies in public waterfront areas.

The paper shows how periodic oxygen intrusions sustain aerobic nitrite-oxidizing bacteria in anoxic marine zones, increasing microbial diversity and altering biogeochemical cycling.

The paper synthesizes genetic data with a marine ecosystem model to analyze functional biogeography of marine heteroprokaryotes, identifying key ecological factors shaping their distribution.

The paper improves maximum growth rate prediction for microbes by integrating phylogenetic information with codon statistics, using a large database of temperature-corrected growth rates.

The paper analyzes a five-year metagenomic time-series to study temporal dynamics of marine giant viruses, finding that phylogenetic proximity influences their seasonal abundance and ecological interactions.

This study investigates how ecological factors like prokaryotic density and diversity influence the distribution of CRISPR-Cas immune systems in different environments.

The paper benchmarks an improved metagenomic growth rate predictor, showing better performance on mixed-species communities and providing guidelines for data preprocessing.