Virginia P. Edgcomb

This study uses BONCAT-FACS to identify translationally active microbial taxa in Guaymas Basin sediments, revealing heterotrophic communities involved in organic matter cycling.

This study reveals that multicellular magnetotactic bacterial consortia are not clonal and exhibit metabolic differentiation, challenging previous assumptions about their biology.

MetaPathPredict predicts KEGG module presence in incomplete bacterial genomes using machine learning models.

The paper evaluates DNA and RNA extraction protocols from Guaymas Basin sediments, showing that temperature and hydrothermal influence significantly impact nucleic acid recovery and microbial community analysis.

The paper measures microbial eukaryote abundances and predation rates at deep-sea hydrothermal vents, showing higher grazing rates under in situ pressure and their role in deep-sea carbon cycling.

The paper surveys methane-cycling archaea in Guaymas Basin sediments using PCR, finding diverse ANME-1 lineages and methanogens across sites with distinct geochemical profiles.

The paper examines microbial community and activity patterns in the Guaymas Basin subsurface along thermal and geochemical gradients using metagenomic and metatranscriptomic analyses.

The paper identifies secondary metabolites in anoxic Cariaco Basin microorganisms using genome mining and gene expression analysis, showing redox potential and lifestyle affect their production.