TY - JOUR
T1 - A gene-based capture assay for surveying patterns of genetic diversity and insecticide resistance in a worldwide group of invasive mosquitoes
AU - Aardemaid, Matthew L.
AU - Campana, Michael G.
AU - Wagner, Nicole E.
AU - Ferreira, Francisco C.
AU - Fonseca, Dina M.
N1 - Funding Information:
Funding:Thisresearchwasfundedinpartby NationalScienceFoundation(NSF),EArly-concept GrantsforExploratoryResearch(EAGER)award 1547168,NationalScienceFoundation(NSF), EcologyandEvolutionofInfectiousDiseases award2001213,andaward00002949fromthe NewJerseyDepartmentofEnvironmental Protection’sOfficeofMosquitoControl CoordinationtotheNewJerseyAgricultural ExperimentStation(PrincipalInvestigator,DinaM. Fonseca).MichaelG.Campanawassupportedby theSmithsonianInstitutionandNicoleE.Wagner wassupportedbytheNewJerseyAgricultural ExperimentStation.Thefundershadnorolein studydesign,datacollectionandanalysis,decision topublish,orpreparationofthemanuscript.
Funding Information:
This research was funded in part by National Science Foundation (NSF), EArly-concept Grants for Exploratory Research (EAGER) award1547168, National Science Foundation (NSF), Ecology and Evolution of Infectious Diseases award 2001213, and award 00002949 from the New Jersey Department of Environmental Protection’s Office of Mosquito Control Coordination to the New Jersey Agricultural Experiment Station (Principal Investigator, Dina M. Fonseca). Michael G. Campana was supported by the Smithsonian Institution and Nicole E. Wagner was supported by the New Jersey Agricultural Experiment Station. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.We thank Alison Devault at Arbor Biosciences for assistance with bait design and Stephanie Aponte for extracting DNA from some old specimens. We also thank Linda Kothera and one anonymous reviewer for helpful comments on an earlier description of this work.
Publisher Copyright:
© 2022, Public Library of Science. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Understanding patterns of diversification, genetic exchange, and pesticide resistance in arthropod disease vectors is necessary for effective population management. With the availability of next-generation sequencing technologies, one of the best approaches for surveying such patterns involves the simultaneous genotyping of many samples for a large number of genetic markers. To this end, the targeting of gene sequences of known function can be a cost-effective strategy. One insect group of substantial health concern are the mosquito taxa that make up the Culex pipiens complex. Members of this complex transmit damaging arboviruses and filariae worms to humans, as well as other pathogens such as avian malaria parasites that are detrimental to birds. Here we describe the development of a targeted, gene-based assay for surveying genetic diversity and population structure in this mosquito complex. To test the utility of this assay, we sequenced samples from several members of the complex, as well as from distinct populations of the relatively under-studied Culex quinquefasciatus. The data generated was then used to examine taxonomic divergence and population clustering between and within these mosquitoes. We also used this data to investigate genetic variants present in our samples that had previously been shown to correlate with insecticide-resistance. Broadly, our gene capture approach successfully enriched the genomic regions of interest, and proved effective for facilitating examinations of taxonomic divergence and geographic clustering within the Cx. pipiens complex. It also allowed us to successfully survey genetic variation associated with insecticide resistance in Culex mosquitoes. This enrichment protocol will be useful for future studies that aim to understand the genetic mechanisms underlying the evolution of these ubiquitous and increasingly damaging disease vectors.
AB - Understanding patterns of diversification, genetic exchange, and pesticide resistance in arthropod disease vectors is necessary for effective population management. With the availability of next-generation sequencing technologies, one of the best approaches for surveying such patterns involves the simultaneous genotyping of many samples for a large number of genetic markers. To this end, the targeting of gene sequences of known function can be a cost-effective strategy. One insect group of substantial health concern are the mosquito taxa that make up the Culex pipiens complex. Members of this complex transmit damaging arboviruses and filariae worms to humans, as well as other pathogens such as avian malaria parasites that are detrimental to birds. Here we describe the development of a targeted, gene-based assay for surveying genetic diversity and population structure in this mosquito complex. To test the utility of this assay, we sequenced samples from several members of the complex, as well as from distinct populations of the relatively under-studied Culex quinquefasciatus. The data generated was then used to examine taxonomic divergence and population clustering between and within these mosquitoes. We also used this data to investigate genetic variants present in our samples that had previously been shown to correlate with insecticide-resistance. Broadly, our gene capture approach successfully enriched the genomic regions of interest, and proved effective for facilitating examinations of taxonomic divergence and geographic clustering within the Cx. pipiens complex. It also allowed us to successfully survey genetic variation associated with insecticide resistance in Culex mosquitoes. This enrichment protocol will be useful for future studies that aim to understand the genetic mechanisms underlying the evolution of these ubiquitous and increasingly damaging disease vectors.
UR - http://www.scopus.com/inward/record.url?scp=85136116275&partnerID=8YFLogxK
U2 - 10.1371/JOURNAL.PNTD.0010689
DO - 10.1371/JOURNAL.PNTD.0010689
M3 - Article
C2 - 35939523
AN - SCOPUS:85136116275
SN - 1935-2727
VL - 16
JO - PLoS Neglected Tropical Diseases
JF - PLoS Neglected Tropical Diseases
IS - 8
M1 - e0010689
ER -