Resistome, virulome, mobilome, and biosynthetic gene clusters adaptations of Acinetobacter baumannii Mexican strains before and during the COVID-19 pandemic: insights from whole-genome sequencing
TL;DR
The genomic landscape of A. baumannii in Mexico has diversified post-COVID, with evidence of inter-regional transmission, virulome expansion, mobilome-driven ARG dissemination, and metabolic adaptation, and the urgent need for coordinated genomic surveillance, functional and clinical validation of adaptation signals, and regionally integrated infection control strategies to mitigate resistance trajectories.
Abstract
Background Acinetobacter baumannii is a critical multidrug-resistant pathogen whose genomic landscape in Mexico has been reshaped by the COVID-19 pandemic. While global studies have highlighted distinctive sequence type distributions, systematic analyses in Mexico remain limited. Methods We analyzed 194 genomes, including 47 newly sequenced post-COVID isolates (MIQ), alongside 147 publicly available genomes (HPG). Whole-genome sequencing was combined with phylogenetic reconstruction, resistome and virulome profiling based on gene presence and absence, mobilome analysis, and biosynthetic gene cluster (BGC) characterization. Results Two major clades dominated by Oxford STs 758, 208, 417, and 369 were identified. Resistome profiling uncovered 128 distinct resistome profiles (combinations of genes) and 44 emerging antimicrobial resistance genes (ARGs), with an increased number of resistance genes in the strains obtained during the pandemic. Virulome analysis revealed enrichment of metabolic adaptation genes (argG, carA, ilvC) in MIQ strains. Mobilome profiling demonstrated enrichment of ISAbA1 and ISAbA3 elements, known to mobilize carbapenemase genes. Mobilome profiling demonstrated enrichment of ISAba1 and ISAba3 elements, including novel associations such as blaOXA-72 with ISAba27 and blaOXA-66 with ISAba1. BGC analysis showed conserved siderophores involved in virulence, alongside diversification of the secondary metabolite repertoires in MIQ genomes. Additional observations included geographic mixing of clades across Jalisco, Aguascalientes, and Mexico City and referral bias toward carbapenemase-positive isolates. Because post-COVID isolates were enriched for referred high-risk cases, resistance estimates likely reflect a worst-case hospital scenario rather than community prevalence. Conclusion The genomic landscape of A. baumannii in Mexico has diversified post-COVID, with evidence of inter-regional transmission, virulome expansion, mobilome-driven ARG dissemination, and metabolic adaptation. These findings underscore the urgent need for coordinated genomic surveillance, functional and clinical validation of adaptation signals, and regionally integrated infection control strategies to mitigate resistance trajectories.