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Modeling the genetic relatedness of Plasmodium falciparum parasites following meiotic recombination and cotransmission

Unlike in most pathogens, multiple-strain (polygenomic) infections of P. falciparum are frequently composed of genetic siblings. These genetic siblings are the result of sexual reproduction and can coinfect the same host when cotransmitted by the same mosquito. The degree with which coinfecting stra...

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Detalles Bibliográficos
Autores principales: Wong, Wesley, Wenger, Edward A., Hartl, Daniel L., Wirth, Dyann F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5777656/
https://www.ncbi.nlm.nih.gov/pubmed/29315306
http://dx.doi.org/10.1371/journal.pcbi.1005923
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author Wong, Wesley
Wenger, Edward A.
Hartl, Daniel L.
Wirth, Dyann F.
author_facet Wong, Wesley
Wenger, Edward A.
Hartl, Daniel L.
Wirth, Dyann F.
author_sort Wong, Wesley
collection PubMed
description Unlike in most pathogens, multiple-strain (polygenomic) infections of P. falciparum are frequently composed of genetic siblings. These genetic siblings are the result of sexual reproduction and can coinfect the same host when cotransmitted by the same mosquito. The degree with which coinfecting strains are related varies among infections and populations. Because sexual recombination occurs within the mosquito, the relatedness of cotransmitted strains could depend on transmission dynamics, but little is actually known of the factors that influence the relatedness of cotransmitted strains. Part of the uncertainty stems from an incomplete understanding of how within-host and within-vector dynamics affect cotransmission. Cotransmission is difficult to examine experimentally but can be explored using a computational model. We developed a malaria transmission model that simulates sexual reproduction in order to understand what determines the relatedness of cotransmitted strains. This study highlights how the relatedness of cotransmitted strains depends on both within-host and within-vector dynamics including the complexity of infection. We also used our transmission model to analyze the genetic relatedness of polygenomic infections following a series of multiple transmission events and examined the effects of superinfection. Understanding the factors that influence the relatedness of cotransmitted strains could lead to a better understanding of the population-genetic correlates of transmission and therefore be important for public health.
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spelling pubmed-57776562018-02-05 Modeling the genetic relatedness of Plasmodium falciparum parasites following meiotic recombination and cotransmission Wong, Wesley Wenger, Edward A. Hartl, Daniel L. Wirth, Dyann F. PLoS Comput Biol Research Article Unlike in most pathogens, multiple-strain (polygenomic) infections of P. falciparum are frequently composed of genetic siblings. These genetic siblings are the result of sexual reproduction and can coinfect the same host when cotransmitted by the same mosquito. The degree with which coinfecting strains are related varies among infections and populations. Because sexual recombination occurs within the mosquito, the relatedness of cotransmitted strains could depend on transmission dynamics, but little is actually known of the factors that influence the relatedness of cotransmitted strains. Part of the uncertainty stems from an incomplete understanding of how within-host and within-vector dynamics affect cotransmission. Cotransmission is difficult to examine experimentally but can be explored using a computational model. We developed a malaria transmission model that simulates sexual reproduction in order to understand what determines the relatedness of cotransmitted strains. This study highlights how the relatedness of cotransmitted strains depends on both within-host and within-vector dynamics including the complexity of infection. We also used our transmission model to analyze the genetic relatedness of polygenomic infections following a series of multiple transmission events and examined the effects of superinfection. Understanding the factors that influence the relatedness of cotransmitted strains could lead to a better understanding of the population-genetic correlates of transmission and therefore be important for public health. Public Library of Science 2018-01-09 /pmc/articles/PMC5777656/ /pubmed/29315306 http://dx.doi.org/10.1371/journal.pcbi.1005923 Text en © 2018 Wong et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wong, Wesley
Wenger, Edward A.
Hartl, Daniel L.
Wirth, Dyann F.
Modeling the genetic relatedness of Plasmodium falciparum parasites following meiotic recombination and cotransmission
title Modeling the genetic relatedness of Plasmodium falciparum parasites following meiotic recombination and cotransmission
title_full Modeling the genetic relatedness of Plasmodium falciparum parasites following meiotic recombination and cotransmission
title_fullStr Modeling the genetic relatedness of Plasmodium falciparum parasites following meiotic recombination and cotransmission
title_full_unstemmed Modeling the genetic relatedness of Plasmodium falciparum parasites following meiotic recombination and cotransmission
title_short Modeling the genetic relatedness of Plasmodium falciparum parasites following meiotic recombination and cotransmission
title_sort modeling the genetic relatedness of plasmodium falciparum parasites following meiotic recombination and cotransmission
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5777656/
https://www.ncbi.nlm.nih.gov/pubmed/29315306
http://dx.doi.org/10.1371/journal.pcbi.1005923
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