Meta-analyses of the global multilocus genotypes of the human pathogen Campylobacter jejuni .
Monir PoorrashidiMegan HitchcockJian-Ping XuPublished in: Genome (2024)
Campylobacter infections are a leading cause of bacterial diarrheal illness worldwide, with increasing reports of outbreaks in both developing and developed countries. Most studies investigating strain genotypes and epidemiology of Campylobacter jejuni examined on a local scale. Using the archived multilocus sequence typing data at seven loci, and associated strain metadata from the PubMLST database, here we investigated the spatial and temporal genetic structure of the global population of C. jejuni . Our analyses revealed evidence for clonal dispersals of multiple sequence types (STs) among countries and continents. However, despite the observed clonal dispersal and that most genetic variations were found within individual geographic subpopulations, both the non-clone-corrected and clone-corrected samples showed evidence of significant genetic differentiation among national and continental subpopulations, with non-clone-corrected samples showing greater differentiation than clone-corrected samples. Phylogenetic incompatibility analyses provided evidence for recombination within each continental subpopulation. However, linkage disequilibrium analyses rejected the hypothesis of random recombination across the samples. Temporally, multiple STs were found to persist across four decades and the five globally most common STs showed relatively stable frequencies over the last two decades. We discussed the implications of our results to food security, disease transmission, and public health management.
Keyphrases
- genome wide
- public health
- biofilm formation
- meta analyses
- antimicrobial resistance
- copy number
- dna damage
- endothelial cells
- systematic review
- dna repair
- dna methylation
- randomized controlled trial
- escherichia coli
- candida albicans
- pseudomonas aeruginosa
- machine learning
- cystic fibrosis
- electronic health record
- global health
- oxidative stress
- big data
- staphylococcus aureus
- induced pluripotent stem cells
- high resolution
- mass spectrometry
- single molecule