Ramūnas Stepanauskas

The paper quantifies antiviral defenses in marine prokaryoplankton using single-amplified genomes to show taxon-specific defense repertoires and lateral transfer of defense systems.

This study uses machine learning to predict symbiotic lifestyles in microbial genomes, identifying 15-23% of uncultivated microbes as potential symbionts and creating a new catalog of symbiont genomes.

The paper quantifies phage interactions with prokaryoplankton in the tropical ocean, revealing non-infective associations and genetic exchange between phages.

This study uses global metagenomics to discover new plastid sequences and challenge existing models of plastid evolution in photosynthetic eukaryotes.

The paper analyzes global protist diversity using metagenomes and single-cell genomes, revealing extensive uncultivated and unclassified protist lineages and taxonomic blind spots.

The paper expands the global RNA virome by five-fold, identifying new clades of RNA bacteriophages and revealing novel virus-host interactions.

The paper analyzes SAR202 bacterial genomes to show paralog expansions correlate with metabolic specialization and niche adaptation across ocean depths and regions.