Challenges in estimating insecticide selection pressures from mosquito field data.
Insecticide resistance has the potential to compromise the enormous effort put into the control of dengue and malaria vector populations. It is therefore important to quantify the amount of selection acting on resistance alleles, their contributions to fitness in heterozygotes (dominance) and their...
Published in: | PLoS Neglected Tropical Diseases |
---|---|
Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Public Library of Science (PLoS)
2011
|
Subjects: | |
Online Access: | https://doi.org/10.1371/journal.pntd.0001387 https://doaj.org/article/18ac0cd215224d56a0922f51080a23bc |
id |
ftdoajarticles:oai:doaj.org/article:18ac0cd215224d56a0922f51080a23bc |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:18ac0cd215224d56a0922f51080a23bc 2023-05-15T15:09:14+02:00 Challenges in estimating insecticide selection pressures from mosquito field data. Susana Barbosa William C Black Ian Hastings 2011-11-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0001387 https://doaj.org/article/18ac0cd215224d56a0922f51080a23bc EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC3206009?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 doi:10.1371/journal.pntd.0001387 1935-2727 1935-2735 https://doaj.org/article/18ac0cd215224d56a0922f51080a23bc PLoS Neglected Tropical Diseases, Vol 5, Iss 11, p e1387 (2011) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2011 ftdoajarticles https://doi.org/10.1371/journal.pntd.0001387 2022-12-30T21:01:14Z Insecticide resistance has the potential to compromise the enormous effort put into the control of dengue and malaria vector populations. It is therefore important to quantify the amount of selection acting on resistance alleles, their contributions to fitness in heterozygotes (dominance) and their initial frequencies, as a means to predict the rate of spread of resistance in natural populations. We investigate practical problems of obtaining such estimates, with particular emphasis on Mexican populations of the dengue vector Aedes aegypti. Selection and dominance coefficients can be estimated by fitting genetic models to field data using maximum likelihood (ML) methodology. This methodology, although widely used, makes many assumptions so we investigated how well such models perform when data are sparse or when spatial and temporal heterogeneity occur. As expected, ML methodologies reliably estimated selection and dominance coefficients under idealised conditions but it was difficult to recover the true values when datasets were sparse during the time that resistance alleles increased in frequency, or when spatial and temporal heterogeneity occurred. We analysed published data on pyrethroid resistance in Mexico that consists of the frequency of a Ile1,016 mutation. The estimates for selection coefficient and initial allele frequency on the field dataset were in the expected range, dominance coefficient points to incomplete dominance as observed in the laboratory, although these estimates are accompanied by strong caveats about possible impact of spatial and temporal heterogeneity in selection. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLoS Neglected Tropical Diseases 5 11 e1387 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
spellingShingle |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Susana Barbosa William C Black Ian Hastings Challenges in estimating insecticide selection pressures from mosquito field data. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
Insecticide resistance has the potential to compromise the enormous effort put into the control of dengue and malaria vector populations. It is therefore important to quantify the amount of selection acting on resistance alleles, their contributions to fitness in heterozygotes (dominance) and their initial frequencies, as a means to predict the rate of spread of resistance in natural populations. We investigate practical problems of obtaining such estimates, with particular emphasis on Mexican populations of the dengue vector Aedes aegypti. Selection and dominance coefficients can be estimated by fitting genetic models to field data using maximum likelihood (ML) methodology. This methodology, although widely used, makes many assumptions so we investigated how well such models perform when data are sparse or when spatial and temporal heterogeneity occur. As expected, ML methodologies reliably estimated selection and dominance coefficients under idealised conditions but it was difficult to recover the true values when datasets were sparse during the time that resistance alleles increased in frequency, or when spatial and temporal heterogeneity occurred. We analysed published data on pyrethroid resistance in Mexico that consists of the frequency of a Ile1,016 mutation. The estimates for selection coefficient and initial allele frequency on the field dataset were in the expected range, dominance coefficient points to incomplete dominance as observed in the laboratory, although these estimates are accompanied by strong caveats about possible impact of spatial and temporal heterogeneity in selection. |
format |
Article in Journal/Newspaper |
author |
Susana Barbosa William C Black Ian Hastings |
author_facet |
Susana Barbosa William C Black Ian Hastings |
author_sort |
Susana Barbosa |
title |
Challenges in estimating insecticide selection pressures from mosquito field data. |
title_short |
Challenges in estimating insecticide selection pressures from mosquito field data. |
title_full |
Challenges in estimating insecticide selection pressures from mosquito field data. |
title_fullStr |
Challenges in estimating insecticide selection pressures from mosquito field data. |
title_full_unstemmed |
Challenges in estimating insecticide selection pressures from mosquito field data. |
title_sort |
challenges in estimating insecticide selection pressures from mosquito field data. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2011 |
url |
https://doi.org/10.1371/journal.pntd.0001387 https://doaj.org/article/18ac0cd215224d56a0922f51080a23bc |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 5, Iss 11, p e1387 (2011) |
op_relation |
http://europepmc.org/articles/PMC3206009?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 doi:10.1371/journal.pntd.0001387 1935-2727 1935-2735 https://doaj.org/article/18ac0cd215224d56a0922f51080a23bc |
op_doi |
https://doi.org/10.1371/journal.pntd.0001387 |
container_title |
PLoS Neglected Tropical Diseases |
container_volume |
5 |
container_issue |
11 |
container_start_page |
e1387 |
_version_ |
1766340465000448000 |