Genomic signatures of local adaptation in recent invasive Aedes aegypti populations in California.

Autor: Soudi S; Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis, Davis, CA, USA., Crepeau M; Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis, Davis, CA, USA., Collier TC; Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis, Davis, CA, USA., Lee Y; Florida Medical Entomology Laboratory, University of Florida, Vero Beach, FL, USA., Cornel AJ; Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis, Davis, CA, USA.; Mosquito Control Research Laboratory, Department of Entomology and Nematology, University of California, Parlier, CA, USA., Lanzaro GC; Vector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis, Davis, CA, USA. gclanzaro@ucdavis.edu.
Jazyk: angličtina
Zdroj: BMC genomics [BMC Genomics] 2023 Jun 10; Vol. 24 (1), pp. 311. Date of Electronic Publication: 2023 Jun 10.
DOI: 10.1186/s12864-023-09402-5
Abstrakt: Background: Rapid adaptation to new environments can facilitate species invasions and range expansions. Understanding the mechanisms of adaptation used by invasive disease vectors in new regions has key implications for mitigating the prevalence and spread of vector-borne disease, although they remain relatively unexplored.
Results: Here, we integrate whole-genome sequencing data from 96 Aedes aegypti mosquitoes collected from various sites in southern and central California with 25 annual topo-climate variables to investigate genome-wide signals of local adaptation among populations. Patterns of population structure, as inferred using principal components and admixture analysis, were consistent with three genetic clusters. Using various landscape genomics approaches, which all remove the confounding effects of shared ancestry on correlations between genetic and environmental variation, we identified 112 genes showing strong signals of local environmental adaptation associated with one or more topo-climate factors. Some of them have known effects in climate adaptation, such as heat-shock proteins, which shows selective sweep and recent positive selection acting on these genomic regions.
Conclusions: Our results provide a genome wide perspective on the distribution of adaptive loci and lay the foundation for future work to understand how environmental adaptation in Ae. aegypti impacts the arboviral disease landscape and how such adaptation could help or hinder efforts at population control.
(© 2023. The Author(s).)
Databáze: MEDLINE
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