Galo Adrián Goig

Within-host evolution of drug tolerance in Mycobacterium tuberculosis.

This study investigates how antibiotic tolerance evolves in Mycobacterium tuberculosis during treatment and finds no evidence that it contributes to delayed culture conversion.

Clinical and bacterial determinants of unfavorable tuberculosis treatment outcomes: an observational study in Georgia

This study identifies patient and bacterial factors associated with unfavorable tuberculosis treatment outcomes in Georgia using genomic and clinical data from 4,536 patients.

Variability in intrinsic drug tolerance in Mycobacterium tuberculosis corresponds with phylogenetic lineage

The paper measures drug tolerance in Mycobacterium tuberculosis lineages and finds higher tolerance in L3 and L4 strains, with heritable patterns and enrichment of mutations in specific metabolic pathways.

Large contribution of repeats to genetic variation in a transmission cluster of Mycobacterium tuberculosis

The paper characterizes repeat-associated mutations in Mycobacterium tuberculosis genomes using long-read sequencing, revealing their significant contribution to genetic variation in an outbreak.

Drug-induced differential culturability in diverse strains of Mycobacterium tuberculosis.

The paper shows that antibiotic treatment affects Mycobacterium tuberculosis culturability, with differential effects on colony formation and liquid culture growth.

Onset of infectiousness explains differences in transmissibility across Mycobacterium tuberculosis lineages

The paper uses genomic data and phylodynamic models to show that Mycobacterium tuberculosis lineages have similar infectiousness durations but differ in onset timing, affecting transmission dynamics.

Genetic diversity within diagnostic sputum samples is mirrored in the culture of Mycobacterium tuberculosis

This study shows that culturing Mycobacterium tuberculosis from sputum samples accurately mirrors the genetic diversity found in the original clinical samples, with high variant agreement and correlation.

Contaminant DNA in bacterial sequencing experiments is a major source of false genetic variability

The paper evaluates the impact of contaminant DNA in whole-genome sequencing and shows it introduces false genetic variability, proposing contamination-aware analysis pipelines.