Miguel F. Romero

The paper describes Sissivirus, a giant virus with a 4-megabase genome and a large repeatome, identifying repeat accumulation as a key driver of its genome expansion.

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.

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

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

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

This study investigates the genomic and environmental diversity of Solirubrobacter, revealing its pangenome, flagellin genes, and ecological interactions across soils and rhizospheres.

The paper studies rhizosphere bacteria from mine tailings to create a synthetic community for bioremediation, finding reduced diversity and shifts in bacterial dominance.