A. Rodriguez del Rio

The paper uses machine learning to predict antimicrobial peptides from microbiome data, identifies novel peptides, and validates their antibacterial activity against drug-resistant pathogens.

This study resolves the phylogeny of extremely halophilic archaea and identifies four independent adaptations to hypersaline environments through phylogenomic analysis and gene transfer mechanisms.

The paper identifies and analyzes novel protein families from uncultivated microbes, revealing their evolutionary significance and potential ecological roles.

The paper examines how different light spectra affect gene expression in barley cultivars, identifying key transcription factors and pathways involved in light sensitivity and adaptation.