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Genetic structure of Anopheles gambiae s.s populations following the use of insecticides on several consecutive years in southern Benin
Several studies have reported the strong resistance of complex species to pyrethroids. The voltage-dependent sodium channel ( ) gene is the main target of pyrethroids and DDT. In Benin, the frequency of the resistant allele ( ) of this gene varies along the north-south transect. Monitoring the evolu...
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Published in: | Tropical medicine and health 2019-04, Vol.47 (1), p.23-23, Article 23 |
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creator | Fassinou, Arsène Jacques Y H Koukpo, Come Z Ossè, Razaki A Agossa, Fiacre R Assogba, Benoit S Sidick, Aboubakar Sèwadé, Wilfrid T Akogbéto, Martin C Sèzonlin, Michel |
description | Several studies have reported the strong resistance of
complex species to pyrethroids. The voltage-dependent sodium channel (
) gene is the main target of pyrethroids and DDT. In Benin, the frequency of the resistant allele (
) of this gene varies along the north-south transect. Monitoring the evolution of resistance is necessary to better appreciate the genetic structure of vector populations in localities subject to the intensive use of chemicals associated with other control initiatives. The purpose of this study was to map the distribution of pyrethroid insecticide resistance alleles of the
gene in malaria vectors in different regions and ecological facies in order to identify the evolutionary forces that might be the basis of anopheline population dynamics.
The characterization of
populations and resistance mechanisms were performed using adult mosquitoes obtained from larvae collected in the four agroecological zones in southern Benin. Genomic DNA extraction was performed on whole mosquitoes.The extracted genomic DNA from them were used for the molecular identification of species in
complex and the identification of genotypes related to pyrethroid resistance as the
gene amino acid position 1014 in sodium channel. Molecular speciation and genotyping of
resistant alleles (1014) were done using PCR.Genepop software version 4.2 was used to calculate allelic and genotypic frequencies in each agroecological zone. The
value of the allelic frequency was determined using the binomial test function in R version 3.3.3. The Hardy-Weinberg equilibrium was checked for each population with Genetics software version 1.3.8.1. The observed heterozygosity and the expected heterozygosity as well as the fixation index and genetic differentiation index within and between populations were calculated using Genepop software version 4.2.
During the study period,
was the major species in all agroecological zones while
was scarcely represented. Regardless of the species, resistant homozygote individuals (
) were dominant in all agroecological zones, showing a strong selection of the resistant allele (
). All populations showed a deficit of heterozygosity. No genetic differentiation was observed between the different populations of the two species. For
, there was a small differentiation among the populations of the central cotton and bar-lands zones. The genetic differentiation was modest among the population of the fisheries zone (
= 0.1295). The genetic differentiation was v |
doi_str_mv | 10.1186/s41182-019-0151-z |
format | article |
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complex species to pyrethroids. The voltage-dependent sodium channel (
) gene is the main target of pyrethroids and DDT. In Benin, the frequency of the resistant allele (
) of this gene varies along the north-south transect. Monitoring the evolution of resistance is necessary to better appreciate the genetic structure of vector populations in localities subject to the intensive use of chemicals associated with other control initiatives. The purpose of this study was to map the distribution of pyrethroid insecticide resistance alleles of the
gene in malaria vectors in different regions and ecological facies in order to identify the evolutionary forces that might be the basis of anopheline population dynamics.
The characterization of
populations and resistance mechanisms were performed using adult mosquitoes obtained from larvae collected in the four agroecological zones in southern Benin. Genomic DNA extraction was performed on whole mosquitoes.The extracted genomic DNA from them were used for the molecular identification of species in
complex and the identification of genotypes related to pyrethroid resistance as the
gene amino acid position 1014 in sodium channel. Molecular speciation and genotyping of
resistant alleles (1014) were done using PCR.Genepop software version 4.2 was used to calculate allelic and genotypic frequencies in each agroecological zone. The
value of the allelic frequency was determined using the binomial test function in R version 3.3.3. The Hardy-Weinberg equilibrium was checked for each population with Genetics software version 1.3.8.1. The observed heterozygosity and the expected heterozygosity as well as the fixation index and genetic differentiation index within and between populations were calculated using Genepop software version 4.2.
During the study period,
was the major species in all agroecological zones while
was scarcely represented. Regardless of the species, resistant homozygote individuals (
) were dominant in all agroecological zones, showing a strong selection of the resistant allele (
). All populations showed a deficit of heterozygosity. No genetic differentiation was observed between the different populations of the two species. For
, there was a small differentiation among the populations of the central cotton and bar-lands zones. The genetic differentiation was modest among the population of the fisheries zone (
= 0.1295). The genetic differentiation was very high in the population of
of the bar-lands zone (
= 0.2408).
This study revealed that the use of insecticides in Benin for years has altered the genetic structure of
populations in all agroecological zones of southern Benin. It would be desirable to orientate vector control efforts towards the use of insecticides other than pyrethroids and DDT or combinations of insecticides with different modes of action.</description><identifier>ISSN: 1348-8945</identifier><identifier>ISSN: 1349-4147</identifier><identifier>EISSN: 1349-4147</identifier><identifier>DOI: 10.1186/s41182-019-0151-z</identifier><identifier>PMID: 31007534</identifier><language>eng</language><publisher>Japan: BioMed Central</publisher><subject>Anopheles gambiae s.l ; Benin ; Cotton ; Fisheries ; Genes ; Genetic structure ; Insecticides ; Malaria ; Mosquitoes ; Mutation ; Public health ; Resistance</subject><ispartof>Tropical medicine and health, 2019-04, Vol.47 (1), p.23-23, Article 23</ispartof><rights>2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.</rights><rights>The Author(s) 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c611t-5842414ebdcd048bde1474372e9f501dd88aa372f6f2587400369ba1b56a0e03</citedby><cites>FETCH-LOGICAL-c611t-5842414ebdcd048bde1474372e9f501dd88aa372f6f2587400369ba1b56a0e03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2546838934/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2546838934?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31007534$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fassinou, Arsène Jacques Y H</creatorcontrib><creatorcontrib>Koukpo, Come Z</creatorcontrib><creatorcontrib>Ossè, Razaki A</creatorcontrib><creatorcontrib>Agossa, Fiacre R</creatorcontrib><creatorcontrib>Assogba, Benoit S</creatorcontrib><creatorcontrib>Sidick, Aboubakar</creatorcontrib><creatorcontrib>Sèwadé, Wilfrid T</creatorcontrib><creatorcontrib>Akogbéto, Martin C</creatorcontrib><creatorcontrib>Sèzonlin, Michel</creatorcontrib><title>Genetic structure of Anopheles gambiae s.s populations following the use of insecticides on several consecutive years in southern Benin</title><title>Tropical medicine and health</title><addtitle>Trop Med Health</addtitle><description>Several studies have reported the strong resistance of
complex species to pyrethroids. The voltage-dependent sodium channel (
) gene is the main target of pyrethroids and DDT. In Benin, the frequency of the resistant allele (
) of this gene varies along the north-south transect. Monitoring the evolution of resistance is necessary to better appreciate the genetic structure of vector populations in localities subject to the intensive use of chemicals associated with other control initiatives. The purpose of this study was to map the distribution of pyrethroid insecticide resistance alleles of the
gene in malaria vectors in different regions and ecological facies in order to identify the evolutionary forces that might be the basis of anopheline population dynamics.
The characterization of
populations and resistance mechanisms were performed using adult mosquitoes obtained from larvae collected in the four agroecological zones in southern Benin. Genomic DNA extraction was performed on whole mosquitoes.The extracted genomic DNA from them were used for the molecular identification of species in
complex and the identification of genotypes related to pyrethroid resistance as the
gene amino acid position 1014 in sodium channel. Molecular speciation and genotyping of
resistant alleles (1014) were done using PCR.Genepop software version 4.2 was used to calculate allelic and genotypic frequencies in each agroecological zone. The
value of the allelic frequency was determined using the binomial test function in R version 3.3.3. The Hardy-Weinberg equilibrium was checked for each population with Genetics software version 1.3.8.1. The observed heterozygosity and the expected heterozygosity as well as the fixation index and genetic differentiation index within and between populations were calculated using Genepop software version 4.2.
During the study period,
was the major species in all agroecological zones while
was scarcely represented. Regardless of the species, resistant homozygote individuals (
) were dominant in all agroecological zones, showing a strong selection of the resistant allele (
). All populations showed a deficit of heterozygosity. No genetic differentiation was observed between the different populations of the two species. For
, there was a small differentiation among the populations of the central cotton and bar-lands zones. The genetic differentiation was modest among the population of the fisheries zone (
= 0.1295). The genetic differentiation was very high in the population of
of the bar-lands zone (
= 0.2408).
This study revealed that the use of insecticides in Benin for years has altered the genetic structure of
populations in all agroecological zones of southern Benin. It would be desirable to orientate vector control efforts towards the use of insecticides other than pyrethroids and DDT or combinations of insecticides with different modes of action.</description><subject>Anopheles gambiae s.l</subject><subject>Benin</subject><subject>Cotton</subject><subject>Fisheries</subject><subject>Genes</subject><subject>Genetic structure</subject><subject>Insecticides</subject><subject>Malaria</subject><subject>Mosquitoes</subject><subject>Mutation</subject><subject>Public health</subject><subject>Resistance</subject><issn>1348-8945</issn><issn>1349-4147</issn><issn>1349-4147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdUstuFDEQHCEQCYEP4IIsceEywe-xL0ghghApEpfcLY-nZ9erWXuwxxslP8Bv490NEeFgtdtdVeqyqmneE3xOiJKfM6-FtpjoegRpH140p4Rx3XLCu5eHu2qV5uKkeZPzBmPGhMKvmxNGMO4E46fN7ysIsHiH8pKKW0oCFEd0EeK8hgkyWtlt7y2gfJ7RHOcy2cXHkNEYpyne-bBCyxpQyQeaDxlcFfNDZcaAMuwg2Qm5uB-Uxe8A3YNNuSJRjqVSU0BfIfjwtnk12inDu8d61tx-_3Z7-aO9-Xl1fXlx0zpJyNIKxWk1B_3gBsxVP0B1yllHQY8Ck2FQytrajnKkQnW8Wpa6t6QX0mLA7Ky5PsoO0W7MnPzWpnsTrTeHh5hWxqbqYAIzYkcGqomFUXLNdK-okEQ6Olg7iq6vWl-OWnPptzA4CEs1-0z0-ST4tVnFnZG8rka7KvDpUSDFXwXyYrY-O5gmGyCWbCgltKNEa1mhH_-DbmJJof6UoYJLxZRmvKLIEeVSzDnB-LQMwWafGHNMjKmJMfvEmIfK-fCviyfG34iwP62Tvx0</recordid><startdate>20190411</startdate><enddate>20190411</enddate><creator>Fassinou, Arsène Jacques Y H</creator><creator>Koukpo, Come Z</creator><creator>Ossè, Razaki A</creator><creator>Agossa, Fiacre R</creator><creator>Assogba, Benoit S</creator><creator>Sidick, Aboubakar</creator><creator>Sèwadé, Wilfrid T</creator><creator>Akogbéto, Martin C</creator><creator>Sèzonlin, Michel</creator><general>BioMed Central</general><general>BMC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20190411</creationdate><title>Genetic structure of Anopheles gambiae s.s populations following the use of insecticides on several consecutive years in southern Benin</title><author>Fassinou, Arsène Jacques Y H ; Koukpo, Come Z ; Ossè, Razaki A ; Agossa, Fiacre R ; Assogba, Benoit S ; Sidick, Aboubakar ; Sèwadé, Wilfrid T ; Akogbéto, Martin C ; Sèzonlin, Michel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c611t-5842414ebdcd048bde1474372e9f501dd88aa372f6f2587400369ba1b56a0e03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Anopheles gambiae s.l</topic><topic>Benin</topic><topic>Cotton</topic><topic>Fisheries</topic><topic>Genes</topic><topic>Genetic structure</topic><topic>Insecticides</topic><topic>Malaria</topic><topic>Mosquitoes</topic><topic>Mutation</topic><topic>Public health</topic><topic>Resistance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fassinou, Arsène Jacques Y H</creatorcontrib><creatorcontrib>Koukpo, Come Z</creatorcontrib><creatorcontrib>Ossè, Razaki A</creatorcontrib><creatorcontrib>Agossa, Fiacre R</creatorcontrib><creatorcontrib>Assogba, Benoit S</creatorcontrib><creatorcontrib>Sidick, Aboubakar</creatorcontrib><creatorcontrib>Sèwadé, Wilfrid T</creatorcontrib><creatorcontrib>Akogbéto, Martin C</creatorcontrib><creatorcontrib>Sèzonlin, Michel</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest - Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Tropical medicine and health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fassinou, Arsène Jacques Y H</au><au>Koukpo, Come Z</au><au>Ossè, Razaki A</au><au>Agossa, Fiacre R</au><au>Assogba, Benoit S</au><au>Sidick, Aboubakar</au><au>Sèwadé, Wilfrid T</au><au>Akogbéto, Martin C</au><au>Sèzonlin, Michel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic structure of Anopheles gambiae s.s populations following the use of insecticides on several consecutive years in southern Benin</atitle><jtitle>Tropical medicine and health</jtitle><addtitle>Trop Med Health</addtitle><date>2019-04-11</date><risdate>2019</risdate><volume>47</volume><issue>1</issue><spage>23</spage><epage>23</epage><pages>23-23</pages><artnum>23</artnum><issn>1348-8945</issn><issn>1349-4147</issn><eissn>1349-4147</eissn><abstract>Several studies have reported the strong resistance of
complex species to pyrethroids. The voltage-dependent sodium channel (
) gene is the main target of pyrethroids and DDT. In Benin, the frequency of the resistant allele (
) of this gene varies along the north-south transect. Monitoring the evolution of resistance is necessary to better appreciate the genetic structure of vector populations in localities subject to the intensive use of chemicals associated with other control initiatives. The purpose of this study was to map the distribution of pyrethroid insecticide resistance alleles of the
gene in malaria vectors in different regions and ecological facies in order to identify the evolutionary forces that might be the basis of anopheline population dynamics.
The characterization of
populations and resistance mechanisms were performed using adult mosquitoes obtained from larvae collected in the four agroecological zones in southern Benin. Genomic DNA extraction was performed on whole mosquitoes.The extracted genomic DNA from them were used for the molecular identification of species in
complex and the identification of genotypes related to pyrethroid resistance as the
gene amino acid position 1014 in sodium channel. Molecular speciation and genotyping of
resistant alleles (1014) were done using PCR.Genepop software version 4.2 was used to calculate allelic and genotypic frequencies in each agroecological zone. The
value of the allelic frequency was determined using the binomial test function in R version 3.3.3. The Hardy-Weinberg equilibrium was checked for each population with Genetics software version 1.3.8.1. The observed heterozygosity and the expected heterozygosity as well as the fixation index and genetic differentiation index within and between populations were calculated using Genepop software version 4.2.
During the study period,
was the major species in all agroecological zones while
was scarcely represented. Regardless of the species, resistant homozygote individuals (
) were dominant in all agroecological zones, showing a strong selection of the resistant allele (
). All populations showed a deficit of heterozygosity. No genetic differentiation was observed between the different populations of the two species. For
, there was a small differentiation among the populations of the central cotton and bar-lands zones. The genetic differentiation was modest among the population of the fisheries zone (
= 0.1295). The genetic differentiation was very high in the population of
of the bar-lands zone (
= 0.2408).
This study revealed that the use of insecticides in Benin for years has altered the genetic structure of
populations in all agroecological zones of southern Benin. It would be desirable to orientate vector control efforts towards the use of insecticides other than pyrethroids and DDT or combinations of insecticides with different modes of action.</abstract><cop>Japan</cop><pub>BioMed Central</pub><pmid>31007534</pmid><doi>10.1186/s41182-019-0151-z</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Anopheles gambiae s.l Benin Cotton Fisheries Genes Genetic structure Insecticides Malaria Mosquitoes Mutation Public health Resistance |
title | Genetic structure of Anopheles gambiae s.s populations following the use of insecticides on several consecutive years in southern Benin |
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