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Population genetics of Anopheles funestus, the African malaria vector, Kenya
BACKGROUND: Anopheles funestus is among the major malaria vectors in Kenya and sub-Saharan Africa and has been recently implicated in persistent malaria transmission. However, its ecology and genetic diversity remain poorly understood in Kenya. METHODS: Using 16 microsatellite loci, we examined the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323828/ https://www.ncbi.nlm.nih.gov/pubmed/30621756 http://dx.doi.org/10.1186/s13071-018-3252-3 |
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author | Ogola, Edwin O. Odero, Joel O. Mwangangi, Joseph M. Masiga, Daniel K. Tchouassi, David P. |
author_facet | Ogola, Edwin O. Odero, Joel O. Mwangangi, Joseph M. Masiga, Daniel K. Tchouassi, David P. |
author_sort | Ogola, Edwin O. |
collection | PubMed |
description | BACKGROUND: Anopheles funestus is among the major malaria vectors in Kenya and sub-Saharan Africa and has been recently implicated in persistent malaria transmission. However, its ecology and genetic diversity remain poorly understood in Kenya. METHODS: Using 16 microsatellite loci, we examined the genetic structure of An. funestus sampled from 11 locations (n = 426 individuals) across a wide geographical range in Kenya spanning coastal, western and Rift Valley areas. RESULTS: Kenyan An. funestus resolved as three genetically distinct clusters. The largest cluster (FUN1) broadly included samples from western and Rift Valley areas of Kenya with two clusters identified from coastal Kenya (FUN2 and FUN3), not previously reported. Geographical distance had no effect on population differentiation of An. funestus. We found a significant variation in the mean Plasmodium infectivity between the clusters (χ(2) = 12.1, df = 2, P = 0.002) and proportional to the malaria prevalence in the different risk zones of Kenya. Notably, there was variation in estimated effective population sizes between the clusters, suggesting possible differential impact of anti-vector interventions in represented areas. CONCLUSIONS: Heterogeneity among Kenyan populations of An. funestus will impact malaria vector control with practical implications for the development of gene-drive technologies. The difference in Plasmodium infectivity and effective population size between the clusters could suggest potential variation in phenotypic characteristics relating to competence or insecticide resistance. This is worth examining in future studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-018-3252-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6323828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63238282019-01-11 Population genetics of Anopheles funestus, the African malaria vector, Kenya Ogola, Edwin O. Odero, Joel O. Mwangangi, Joseph M. Masiga, Daniel K. Tchouassi, David P. Parasit Vectors Research BACKGROUND: Anopheles funestus is among the major malaria vectors in Kenya and sub-Saharan Africa and has been recently implicated in persistent malaria transmission. However, its ecology and genetic diversity remain poorly understood in Kenya. METHODS: Using 16 microsatellite loci, we examined the genetic structure of An. funestus sampled from 11 locations (n = 426 individuals) across a wide geographical range in Kenya spanning coastal, western and Rift Valley areas. RESULTS: Kenyan An. funestus resolved as three genetically distinct clusters. The largest cluster (FUN1) broadly included samples from western and Rift Valley areas of Kenya with two clusters identified from coastal Kenya (FUN2 and FUN3), not previously reported. Geographical distance had no effect on population differentiation of An. funestus. We found a significant variation in the mean Plasmodium infectivity between the clusters (χ(2) = 12.1, df = 2, P = 0.002) and proportional to the malaria prevalence in the different risk zones of Kenya. Notably, there was variation in estimated effective population sizes between the clusters, suggesting possible differential impact of anti-vector interventions in represented areas. CONCLUSIONS: Heterogeneity among Kenyan populations of An. funestus will impact malaria vector control with practical implications for the development of gene-drive technologies. The difference in Plasmodium infectivity and effective population size between the clusters could suggest potential variation in phenotypic characteristics relating to competence or insecticide resistance. This is worth examining in future studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-018-3252-3) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-08 /pmc/articles/PMC6323828/ /pubmed/30621756 http://dx.doi.org/10.1186/s13071-018-3252-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Ogola, Edwin O. Odero, Joel O. Mwangangi, Joseph M. Masiga, Daniel K. Tchouassi, David P. Population genetics of Anopheles funestus, the African malaria vector, Kenya |
title | Population genetics of Anopheles funestus, the African malaria vector, Kenya |
title_full | Population genetics of Anopheles funestus, the African malaria vector, Kenya |
title_fullStr | Population genetics of Anopheles funestus, the African malaria vector, Kenya |
title_full_unstemmed | Population genetics of Anopheles funestus, the African malaria vector, Kenya |
title_short | Population genetics of Anopheles funestus, the African malaria vector, Kenya |
title_sort | population genetics of anopheles funestus, the african malaria vector, kenya |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323828/ https://www.ncbi.nlm.nih.gov/pubmed/30621756 http://dx.doi.org/10.1186/s13071-018-3252-3 |
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