Jaime Iranzo

Self-organized division of labor and selection for long-term antiviral defense in CRISPR arrays.

This study develops a stochastic model to investigate how CRISPR-Cas systems balance short-term and long-term antiviral defense, revealing three evolutionary regimes and spontaneous division of labor within CRISPR arrays.

Eco-evolutionary dynamics of defense systems in mobile genetic elements: Cui bono?

The paper develops a mathematical model to explore why mobile genetic elements (MGEs) frequently carry defense systems, finding that the strength of inter-MGE interference determines whether these systems are beneficial or costly.

Glyphosate as a driver of antimicrobial resistance evolution in bacteria

This study investigates how glyphosate resistance in bacteria affects the evolution and diversity of antimicrobial resistance genes.

Co-evolutionary dynamics of defense systems and anti-defense genes in chromosomes and mobile genetic elements of Enterobacteriaceae

The paper analyzes DEF and anti-DEF gene dynamics across Enterobacteriaceae genomes, finding differences in turnover rates between chromosomal and mobile genetic elements.

Stability and diversity of interactions in complex microbiomes

This study uses mathematical models to show that high-order synergistic interactions enhance stability in diverse microbial communities, suggesting their importance for engineered consortia.

Long-term evolution of prokaryotic genomes in a chemolithotrophic cave over 5.5 million years of isolation

This study examines prokaryotic genome evolution in the Movile Cave over 5.5 million years, finding reduced gene diversity, increased pseudogenization, and limited horizontal gene transfer.

Timescales and genetic linkage explain the variable impact of defense systems on horizontal gene transfer

The paper examines how defense systems affect horizontal gene transfer (HGT) across different timescales and finds that CRISPR-Cas most often reduces MGE abundance and gene acquisition, but this effect is masked by recent co-transfer events.

Comparison of gene clustering criteria reveals intrinsic uncertainty in pangenome analyses

This study compares gene clustering criteria in prokaryotic pangenomes, showing that clustering methods significantly affect functional characterization and core genome inference, with methodological inconsistencies often exceeding ecological and phylogenetic effects.