Evolutionary dynamics of the successful expansion of pandemic Vibrio parahaemolyticus ST3 in Latin America.
Amy Marie CampbellRonnie G GavilanMichel AbantoChao YangChris HautonRonny van AerleJaime Martínez-UrtazaPublished in: Nature communications (2024)
The underlying evolutionary mechanisms driving global expansions of pathogen strains are poorly understood. Vibrio parahaemolyticus is one of only two marine pathogens where variants have emerged in distinct climates globally. The success of a Vibrio parahaemolyticus clone (VpST3) in Latin America- the first spread identified outside its endemic region of tropical Asia- provided an invaluable opportunity to investigate mechanisms of VpST3 expansion into a distinct marine climate. A global collection of VpST3 isolates and novel Latin American isolates were used for evolutionary population genomics, pangenome analysis and combined with oceanic climate data. We found a VpST3 population (LatAm-VpST3) introduced in Latin America well before the emergence of this clone in India, previously considered the onset of the VpST3 epidemic. LatAm-VpST3 underwent successful adaptation to local conditions over its evolutionary divergence from Asian VpST3 isolates, to become dominant in Latin America. Selection signatures were found in genes providing resilience to the distinct marine climate. Core genome mutations and accessory gene presences that promoted survival over long dispersals or increased environmental fitness were associated with environmental conditions. These results provide novel insights into the global expansion of this successful V. parahaemolyticus clone into regions with different climate scenarios.
Keyphrases
- climate change
- genome wide
- human health
- copy number
- dna methylation
- biofilm formation
- genetic diversity
- coronavirus disease
- sars cov
- escherichia coli
- electronic health record
- gene expression
- single cell
- healthcare
- staphylococcus aureus
- risk assessment
- genome wide identification
- pseudomonas aeruginosa
- artificial intelligence
- multidrug resistant
- data analysis