Eco-Evolutionary Drivers of Vibrio parahaemolyticus Sequence Type 3 Expansion: Retrospective Machine Learning Approach
These novel insights into evolutionary features and ecological conditions related to the stages of VpST3 expansion showcase the potential of machine learning models using genomic data and will contribute to the future understanding of the eco-evolutionary pathways of climate-sensitive pathogens.
Authors
- Chris Hauton (ORCID: https://orcid.org/0000-0002-2313-4226)
- Jaime Martínez-Urtaza (ORCID: https://orcid.org/0000-0001-6219-0418)
- Ronny van Aerle (ORCID: https://orcid.org/0000-0002-2605-6518)
- Amy Campbell (ORCID: https://orcid.org/0000-0003-4111-8286)
Institutions
- Universitat Autònoma de Barcelona (ES)
- Centre for Environment, Fisheries and Aquaculture Science (GB)
- University of Southampton (GB)
Publication Details
- Journal
- JMIR Bioinformatics and Biotechnology
- Published
- 2024-11-28
- DOI
- https://doi.org/10.2196/62747
- Citations
- 1
- Primary Topic
- Vibrio bacteria research studies
- Type
- article
- Field-Weighted Citation Impact
- 0.62
Funders
- Centre for Environment, Fisheries and Aquaculture Science
- Generalitat de Catalunya
- Ministerio de Ciencia e Innovación
- HORIZON EUROPE Framework Programme
- Natural Environment Research Council