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Vector control with driving Y chromosomes: modelling the evolution of resistance
BACKGROUND: The introduction of new malaria control interventions has often led to the evolution of resistance, both of the parasite to new drugs and of the mosquito vector to new insecticides, compromising the efficacy of the interventions. Recent progress in molecular and population biology raises...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5513332/ https://www.ncbi.nlm.nih.gov/pubmed/28705249 http://dx.doi.org/10.1186/s12936-017-1932-7 |
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author | Beaghton, Andrea Beaghton, Pantelis John Burt, Austin |
author_facet | Beaghton, Andrea Beaghton, Pantelis John Burt, Austin |
author_sort | Beaghton, Andrea |
collection | PubMed |
description | BACKGROUND: The introduction of new malaria control interventions has often led to the evolution of resistance, both of the parasite to new drugs and of the mosquito vector to new insecticides, compromising the efficacy of the interventions. Recent progress in molecular and population biology raises the possibility of new genetic-based interventions, and the potential for resistance to evolve against these should be considered. Here, population modelling is used to determine the main factors affecting the likelihood that resistance will evolve against a synthetic, nuclease-based driving Y chromosome that produces a male-biased sex ratio. METHODS: A combination of deterministic differential equation models and stochastic analyses involving branching processes and Gillespie simulations is utilized to assess the probability that resistance evolves against a driving Y that otherwise is strong enough to eliminate the target population. The model considers resistance due to changes at the target site such that they are no longer cleaved by the nuclease, and due to trans-acting autosomal suppressor alleles. RESULTS: The probability that resistance evolves increases with the mutation rate and the intrinsic rate of increase of the population, and decreases with the strength of drive and any pleiotropic fitness costs of the resistant allele. In seasonally varying environments, the time of release can also affect the probability of resistance evolving. Trans-acting suppressor alleles are more likely to suffer stochastic loss at low frequencies than target site resistant alleles. CONCLUSIONS: As with any other intervention, there is a risk that resistance will evolve to new genetic approaches to vector control, and steps should be taken to minimize this probability. Two design features that should help in this regard are to reduce the rate at which resistant mutations arise, and to target sequences such that if they do arise, they impose a significant fitness cost on the mosquito. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-017-1932-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5513332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55133322017-07-19 Vector control with driving Y chromosomes: modelling the evolution of resistance Beaghton, Andrea Beaghton, Pantelis John Burt, Austin Malar J Research BACKGROUND: The introduction of new malaria control interventions has often led to the evolution of resistance, both of the parasite to new drugs and of the mosquito vector to new insecticides, compromising the efficacy of the interventions. Recent progress in molecular and population biology raises the possibility of new genetic-based interventions, and the potential for resistance to evolve against these should be considered. Here, population modelling is used to determine the main factors affecting the likelihood that resistance will evolve against a synthetic, nuclease-based driving Y chromosome that produces a male-biased sex ratio. METHODS: A combination of deterministic differential equation models and stochastic analyses involving branching processes and Gillespie simulations is utilized to assess the probability that resistance evolves against a driving Y that otherwise is strong enough to eliminate the target population. The model considers resistance due to changes at the target site such that they are no longer cleaved by the nuclease, and due to trans-acting autosomal suppressor alleles. RESULTS: The probability that resistance evolves increases with the mutation rate and the intrinsic rate of increase of the population, and decreases with the strength of drive and any pleiotropic fitness costs of the resistant allele. In seasonally varying environments, the time of release can also affect the probability of resistance evolving. Trans-acting suppressor alleles are more likely to suffer stochastic loss at low frequencies than target site resistant alleles. CONCLUSIONS: As with any other intervention, there is a risk that resistance will evolve to new genetic approaches to vector control, and steps should be taken to minimize this probability. Two design features that should help in this regard are to reduce the rate at which resistant mutations arise, and to target sequences such that if they do arise, they impose a significant fitness cost on the mosquito. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-017-1932-7) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-14 /pmc/articles/PMC5513332/ /pubmed/28705249 http://dx.doi.org/10.1186/s12936-017-1932-7 Text en © The Author(s) 2017 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 Beaghton, Andrea Beaghton, Pantelis John Burt, Austin Vector control with driving Y chromosomes: modelling the evolution of resistance |
title | Vector control with driving Y chromosomes: modelling the evolution of resistance |
title_full | Vector control with driving Y chromosomes: modelling the evolution of resistance |
title_fullStr | Vector control with driving Y chromosomes: modelling the evolution of resistance |
title_full_unstemmed | Vector control with driving Y chromosomes: modelling the evolution of resistance |
title_short | Vector control with driving Y chromosomes: modelling the evolution of resistance |
title_sort | vector control with driving y chromosomes: modelling the evolution of resistance |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5513332/ https://www.ncbi.nlm.nih.gov/pubmed/28705249 http://dx.doi.org/10.1186/s12936-017-1932-7 |
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