Tools
Tools
Weedall, GD, Riveron, JM, Hearn, J, Irving, H, Kamdem, C, Fouet, C, White, BJ and Wondji, CS (2020) An Africa-wide genomic evolution of insecticide resistance in the malaria vector Anopheles funestus involves selective sweeps, copy number variations, gene conversion and transposons. PLOS GENETICS, 16 (6). ISSN 1553-7404
|
Text
An Africa-wide genomic evolution of insecticide resistance in the malaria vector Anopheles funestus involves selective sweep.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
Insecticide resistance in malaria vectors threatens to reverse recent gains in malaria control. Deciphering patterns of gene flow and resistance evolution in malaria vectors is crucial to improving control strategies and preventing malaria resurgence. A genome-wide survey of Anopheles funestus genetic diversity Africa-wide revealed evidences of a major division between southern Africa and elsewhere, associated with different population histories. Three genomic regions exhibited strong signatures of selective sweeps, each spanning major resistance loci (CYP6P9a/b, GSTe2 and CYP9K1). However, a sharp regional contrast was observed between populations correlating with gene flow barriers. Signatures of complex molecular evolution of resistance were detected with evidence of copy number variation, transposon insertion and a gene conversion between CYP6P9a/b paralog genes. Temporal analyses of samples before and after bed net scale up suggest that these genomic changes are driven by this control intervention. Multiple independent selective sweeps at the same locus in different parts of Africa suggests that local evolution of resistance in malaria vectors may be a greater threat than trans-regional spread of resistance haplotypes.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Science & Technology; Life Sciences & Biomedicine; Genetics & Heredity; MAJOR AFRICAN; POPULATION-STRUCTURE; PYRETHROID RESISTANCE; READ ALIGNMENT; RIFT-VALLEY; POLYMORPHISM; SOFTWARE; GAMBIAE; MICROSATELLITE; IDENTIFICATION; Science & Technology; Life Sciences & Biomedicine; Genetics & Heredity; MAJOR AFRICAN; POPULATION-STRUCTURE; PYRETHROID RESISTANCE; READ ALIGNMENT; RIFT-VALLEY; POLYMORPHISM; SOFTWARE; GAMBIAE; MICROSATELLITE; IDENTIFICATION; Animals; Humans; Anopheles; Malaria; Pyrethrins; Insect Proteins; DNA Transposable Elements; Mosquito Control; Evolution, Molecular; Insecticide Resistance; Haplotypes; Polymorphism, Genetic; Alleles; Africa; Genome, Insect; Gene Flow; Metagenomics; Genetic Loci; DNA Copy Number Variations; Cytochrome P450 Family 6; Mosquito Vectors; Whole Genome Sequencing; Africa; Alleles; Animals; Anopheles; Cytochrome P450 Family 6; DNA Copy Number Variations; DNA Transposable Elements; Evolution, Molecular; Gene Flow; Genetic Loci; Genome, Insect; Haplotypes; Humans; Insect Proteins; Insecticide Resistance; Malaria; Metagenomics; Mosquito Control; Mosquito Vectors; Polymorphism, Genetic; Pyrethrins; Whole Genome Sequencing; Developmental Biology; 0604 Genetics |
| Subjects: | Q Science > QH Natural history > QH301 Biology Q Science > QH Natural history > QH426 Genetics |
| Divisions: | Biological & Environmental Sciences (from Sep 19) |
| Publisher: | PUBLIC LIBRARY SCIENCE |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 11 Jul 2022 15:52 |
| Last Modified: | 11 Jul 2022 16:00 |
| DOI or ID number: | 10.1371/journal.pgen.1008822 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/17227 |
 |
View Item |