Fernando Baquero

The paper investigates mercury resistance in gut microbiota of children, finding high prevalence of Hg-resistant bacteria and strong taxonomic structuring of resistance genes.

The paper characterizes microbial communities in hospital sinks, showing they are stable, multi-kingdom reservoirs harboring MDROs and shaped by environmental factors.

This study shows that the innate immune system, not antibiotic type or bacterial resistance, determines treatment success in infections using Galleria mellonella and Staphylococcus aureus.

The study analyzes the gut resistome of the Wayampi, revealing similar antibiotic resistance gene richness to Europeans but higher metal resistance gene diversity, highlighting shared and distinct resistance patterns.

This study investigates how oxygen levels affect antimicrobial resistance gene performance in Enterobacterales, showing significant variations in resistance under aerobic and anaerobic conditions.

This study examines how sub-inhibitory antibiotic concentrations affect mutation rates and persistence in Staphylococcus aureus, showing increased mutation rates and reduced persistence.

This study shows that long-term exposure to bacteriostatic antibiotics in E. coli leads to the emergence of small colony variants (SCVs) that confer heteroresistance, which reverts upon antibiotic removal.

This study shows Bdellovibrio bacteriovorus can grow without prey using amino acids as carbon sources, revealing their metabolic flexibility and potential for biotechnological applications.

The paper investigates the long-term dynamics of Serratia marcescens complex in hospital sinks, identifying persistent strains linked to outbreaks and revealing new insights into their ecology and resistance gene acquisition.

PATO is a toolkit for pangenome analysis that efficiently handles thousands of genomes, offering fast and accurate methods for core-genome definition, population structure, and gene sharedness networks.

This paper uses layered phylogenomics and polymorphism fingerprinting to reconstruct the evolutionary history of Escherichia coli, identifying three root lineages and a new phylogroup, while highlighting adaptive strategies in different lineages.

The paper uses a membrane computing model to simulate and analyze the multi-level dynamics of antimicrobial resistance across genes, clones, species, hosts, and environments.

The paper develops a 3D-based method to predict antibiotic resistance determinants in the human intestinal microbiota and identifies resistotypes in a cohort.