Yumary M. Vasquez

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.

This study uses a 20-year metagenomic time series to analyze the evolutionary dynamics of giant viruses in Lake Mendota, revealing gene duplication, horizontal transfer, and adaptive responses to environmental changes.

The paper expands the database of giant virus genomes, identifies new viral taxa and functions, and highlights potential biotechnological applications.

The paper presents the genome of Dinocampus coccinellae, revealing independent origins of thelytokous parthenogenesis and solitary behavior, along with accelerated gene evolution.

The paper compares mutation rates between two bacterial endosymbionts in sap-feeding insects, finding that differential mutagenesis drives differences in genome conservation.