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Multiscale modelling the effects of CI genetic evolution in mosquito population on the control of dengue fever
Endosymbiotic Wolbachia bacteria are widely applied for the control of dengue fever by manipulating the reproductive mechanism of mosquitoes, including maternal inheritance and cytoplasmic incompatibility (CI). CI means that the offsprings from the matings between Wolbachia infected males and uninfe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655163/ https://www.ncbi.nlm.nih.gov/pubmed/29066721 http://dx.doi.org/10.1038/s41598-017-13896-x |
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author | He, Sha Zhang, Xianghong Liang, Juhua Tang, Sanyi |
author_facet | He, Sha Zhang, Xianghong Liang, Juhua Tang, Sanyi |
author_sort | He, Sha |
collection | PubMed |
description | Endosymbiotic Wolbachia bacteria are widely applied for the control of dengue fever by manipulating the reproductive mechanism of mosquitoes, including maternal inheritance and cytoplasmic incompatibility (CI). CI means that the offsprings from the matings between Wolbachia infected males and uninfected females can not be hatched. At present, CI effect is assumed as a constant in most of dynamic systems for the spread of Wolbachia. However, their spread may arouse the evolution of mosquitoes to resist CI. Thus, a multiscale model combining a birth-pulse model with a gene-induced discrete model for the frequencies of alleles is proposed to describe the spread of Wolbachia in mosquito population with resistance allele of CI. The main results indicate that the strategy of population eradication can not be realized, while the strategy of population replacement may be realized with the success of sensitive or resistance allele. If appropriate Wolbachia strains can not be selected, then there is a high probability of the failure of population replacement. Moreover, Wolbachia-induced parameters may arouse the catastrophic shifts among stable states of the model. In addition, the demographic parameters and Wolbachia-induced parameters may affect the level and the speed of population replacement and the density of uninfected mosquitoes. |
format | Online Article Text |
id | pubmed-5655163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56551632017-10-31 Multiscale modelling the effects of CI genetic evolution in mosquito population on the control of dengue fever He, Sha Zhang, Xianghong Liang, Juhua Tang, Sanyi Sci Rep Article Endosymbiotic Wolbachia bacteria are widely applied for the control of dengue fever by manipulating the reproductive mechanism of mosquitoes, including maternal inheritance and cytoplasmic incompatibility (CI). CI means that the offsprings from the matings between Wolbachia infected males and uninfected females can not be hatched. At present, CI effect is assumed as a constant in most of dynamic systems for the spread of Wolbachia. However, their spread may arouse the evolution of mosquitoes to resist CI. Thus, a multiscale model combining a birth-pulse model with a gene-induced discrete model for the frequencies of alleles is proposed to describe the spread of Wolbachia in mosquito population with resistance allele of CI. The main results indicate that the strategy of population eradication can not be realized, while the strategy of population replacement may be realized with the success of sensitive or resistance allele. If appropriate Wolbachia strains can not be selected, then there is a high probability of the failure of population replacement. Moreover, Wolbachia-induced parameters may arouse the catastrophic shifts among stable states of the model. In addition, the demographic parameters and Wolbachia-induced parameters may affect the level and the speed of population replacement and the density of uninfected mosquitoes. Nature Publishing Group UK 2017-10-24 /pmc/articles/PMC5655163/ /pubmed/29066721 http://dx.doi.org/10.1038/s41598-017-13896-x Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article He, Sha Zhang, Xianghong Liang, Juhua Tang, Sanyi Multiscale modelling the effects of CI genetic evolution in mosquito population on the control of dengue fever |
title | Multiscale modelling the effects of CI genetic evolution in mosquito population on the control of dengue fever |
title_full | Multiscale modelling the effects of CI genetic evolution in mosquito population on the control of dengue fever |
title_fullStr | Multiscale modelling the effects of CI genetic evolution in mosquito population on the control of dengue fever |
title_full_unstemmed | Multiscale modelling the effects of CI genetic evolution in mosquito population on the control of dengue fever |
title_short | Multiscale modelling the effects of CI genetic evolution in mosquito population on the control of dengue fever |
title_sort | multiscale modelling the effects of ci genetic evolution in mosquito population on the control of dengue fever |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655163/ https://www.ncbi.nlm.nih.gov/pubmed/29066721 http://dx.doi.org/10.1038/s41598-017-13896-x |
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