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Predicting Wolbachia invasion dynamics in Aedes aegypti populations using models of density-dependent demographic traits
BACKGROUND: Arbovirus transmission by the mosquito Aedes aegypti can be reduced by the introduction and establishment of the endosymbiotic bacteria Wolbachia in wild populations of the vector. Wolbachia spreads by increasing the fitness of its hosts relative to uninfected mosquitoes. However, mosqui...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5100186/ https://www.ncbi.nlm.nih.gov/pubmed/27825343 http://dx.doi.org/10.1186/s12915-016-0319-5 |
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author | Hancock, Penelope A. White, Vanessa L. Ritchie, Scott A. Hoffmann, Ary A. Godfray, H. Charles J. |
author_facet | Hancock, Penelope A. White, Vanessa L. Ritchie, Scott A. Hoffmann, Ary A. Godfray, H. Charles J. |
author_sort | Hancock, Penelope A. |
collection | PubMed |
description | BACKGROUND: Arbovirus transmission by the mosquito Aedes aegypti can be reduced by the introduction and establishment of the endosymbiotic bacteria Wolbachia in wild populations of the vector. Wolbachia spreads by increasing the fitness of its hosts relative to uninfected mosquitoes. However, mosquito fitness is also strongly affected by population size through density-dependent competition for limited food resources. We do not understand how this natural variation in fitness affects symbiont spread, which limits our ability to design successful control strategies. RESULTS: We develop a mathematical model to predict A. aegypti–Wolbachia dynamics that incorporates larval density-dependent variation in important fitness components of infected and uninfected mosquitoes. Our model explains detailed features of the mosquito–Wolbachia dynamics observed in two independent experimental A. aegypti populations, allowing the combined effects on dynamics of multiple density-dependent fitness components to be characterized. We apply our model to investigate Wolbachia field release dynamics, and show how invasion outcomes can depend strongly on the severity of density-dependent competition at the release site. Specifically, the ratio of released relative to wild mosquitoes required to attain a target infection frequency (at the end of a release program) can vary by nearly an order of magnitude. The time taken for Wolbachia to become established following releases can differ by over 2 years. These effects depend on the relative fitness of field and insectary-reared mosquitoes. CONCLUSIONS: Models of Wolbachia invasion incorporating density-dependent demographic variation in the host population explain observed dynamics in experimental A. aegypti populations. These models predict strong effects of density-dependence on Wolbachia dynamics in field populations, and can assist in the effective use of Wolbachia to control the transmission of arboviruses such as dengue, chikungunya and zika. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12915-016-0319-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5100186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-51001862016-11-08 Predicting Wolbachia invasion dynamics in Aedes aegypti populations using models of density-dependent demographic traits Hancock, Penelope A. White, Vanessa L. Ritchie, Scott A. Hoffmann, Ary A. Godfray, H. Charles J. BMC Biol Research Article BACKGROUND: Arbovirus transmission by the mosquito Aedes aegypti can be reduced by the introduction and establishment of the endosymbiotic bacteria Wolbachia in wild populations of the vector. Wolbachia spreads by increasing the fitness of its hosts relative to uninfected mosquitoes. However, mosquito fitness is also strongly affected by population size through density-dependent competition for limited food resources. We do not understand how this natural variation in fitness affects symbiont spread, which limits our ability to design successful control strategies. RESULTS: We develop a mathematical model to predict A. aegypti–Wolbachia dynamics that incorporates larval density-dependent variation in important fitness components of infected and uninfected mosquitoes. Our model explains detailed features of the mosquito–Wolbachia dynamics observed in two independent experimental A. aegypti populations, allowing the combined effects on dynamics of multiple density-dependent fitness components to be characterized. We apply our model to investigate Wolbachia field release dynamics, and show how invasion outcomes can depend strongly on the severity of density-dependent competition at the release site. Specifically, the ratio of released relative to wild mosquitoes required to attain a target infection frequency (at the end of a release program) can vary by nearly an order of magnitude. The time taken for Wolbachia to become established following releases can differ by over 2 years. These effects depend on the relative fitness of field and insectary-reared mosquitoes. CONCLUSIONS: Models of Wolbachia invasion incorporating density-dependent demographic variation in the host population explain observed dynamics in experimental A. aegypti populations. These models predict strong effects of density-dependence on Wolbachia dynamics in field populations, and can assist in the effective use of Wolbachia to control the transmission of arboviruses such as dengue, chikungunya and zika. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12915-016-0319-5) contains supplementary material, which is available to authorized users. BioMed Central 2016-11-08 /pmc/articles/PMC5100186/ /pubmed/27825343 http://dx.doi.org/10.1186/s12915-016-0319-5 Text en © Hancock, et al. 2016 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 Article Hancock, Penelope A. White, Vanessa L. Ritchie, Scott A. Hoffmann, Ary A. Godfray, H. Charles J. Predicting Wolbachia invasion dynamics in Aedes aegypti populations using models of density-dependent demographic traits |
title | Predicting Wolbachia invasion dynamics in Aedes aegypti populations using models of density-dependent demographic traits |
title_full | Predicting Wolbachia invasion dynamics in Aedes aegypti populations using models of density-dependent demographic traits |
title_fullStr | Predicting Wolbachia invasion dynamics in Aedes aegypti populations using models of density-dependent demographic traits |
title_full_unstemmed | Predicting Wolbachia invasion dynamics in Aedes aegypti populations using models of density-dependent demographic traits |
title_short | Predicting Wolbachia invasion dynamics in Aedes aegypti populations using models of density-dependent demographic traits |
title_sort | predicting wolbachia invasion dynamics in aedes aegypti populations using models of density-dependent demographic traits |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5100186/ https://www.ncbi.nlm.nih.gov/pubmed/27825343 http://dx.doi.org/10.1186/s12915-016-0319-5 |
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