Victoria J. Orphan

This study measures the energetic cost of bacterial motility using microcalorimetry and finds it to be a significant portion of total metabolism during starvation.

This study shows that phage-mediated lysis increases the growth rate of surviving bacterial cells by recycling nutrients, which partially compensates for cell loss and affects population dynamics.

This study shows anaerobic methanotrophic consortia can oxidize carbon monoxide as an alternative electron donor, supporting cell maintenance rather than growth.

This study shows deep-sea microbes degrade chitin and couple it to extracellular electron transfer using syntrophic interactions in anoxic sediments.

The paper analyzes viral communities in alkane-degrading enrichments, finding abiotic factors influence composition and potential roles in host physiology.

This study shows that sulfur redox intermediates sustain microbial activity in sulfate-limited methane seep sediments by driving sulfur transformations and anaerobic methane oxidation.

This study introduces a method to identify and sequence active marine viruses using BONCAT-FACS, revealing differences in viral turnover among various groups.

This study identifies cryptic methane cycling in coastal wetland sediments through geochemical and molecular analyses, showing methanogenesis and anaerobic methane oxidation co-occur with sulfate and iron reduction.

This study identifies convergent evolution and horizontal gene transfer as key drivers in the evolution of anaerobic methanotrophic archaea using comparative metagenomics of Candidatus Methanovorans.

This study shows that methanogenic archaea use an ambiguous genetic code where the stop codon UAG can encode pyrrolysine, and that Pyl biosynthesis is regulated to manage this ambiguity.

CABO-16S improves 16S rRNA-based identification of prokaryotes and eukaryotes by integrating bacterial, archaeal, and organelle sequences, enhancing classification of environmental samples.

This study examines microbial communities in carbonate nodules and surrounding sediments within and below the sulfate-methane transition zone, revealing active endolithic microbes and their physiological responses to geochemical conditions.

The paper investigates microbial communities within and on methane seep carbonates, revealing distinct diversity and activity patterns, including potential new pMMO diversity and reactivation of AOM under dynamic conditions.

The paper characterizes the microbial community of Auka vents, revealing high diversity, novel metabolic traits, and evidence of long-distance species transfer and thermophilic evolution.

ASM-Clust classifies protein families using alignment score matrices to assess annotation transfer validity, showing improved classification accuracy over existing methods.

The paper introduces a deep learning model called FIND to predict protein function from amino acid sequences, revealing structurally and functionally relevant features in proteins.