A genomic catalog of Earth's bacterial and archaeal symbionts
Juan C. Villada, Yumary M. Vasquez, Gitta Szabó, Ewan Whittaker-Walker, Miguel F. Romero, Sarina Qin, Neha Jacob Varghese, Emiley A. Eloe‐Fadrosh, Nikos C. Kyrpides, Ramūnas Stepanauskas, Christopher A. Francis, Rick Cavicchioli, Trina McMahon, Steven Hallam, Wen‐Tso Liu, , Frederik Schulz
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.
Nature Biotechnology · Aug 31, 2026Peer-reviewedGenomics