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An Evolution-Based Screen for Genetic Differentiation between Anopheles Sister Taxa Enriches for Detection of Functional Immune Factors
Nucleotide variation patterns across species are shaped by the processes of natural selection, including exposure to environmental pathogens. We examined patterns of genetic variation in two sister species, Anopheles gambiae and Anopheles coluzzii, both efficient natural vectors of human malaria in...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4669117/ https://www.ncbi.nlm.nih.gov/pubmed/26633695 http://dx.doi.org/10.1371/journal.ppat.1005306 |
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author | Mitri, Christian Bischoff, Emmanuel Takashima, Eizo Williams, Marni Eiglmeier, Karin Pain, Adrien Guelbeogo, Wamdaogo M. Gneme, Awa Brito-Fravallo, Emma Holm, Inge Lavazec, Catherine Sagnon, N’Fale Baxter, Richard H. Riehle, Michelle M. Vernick, Kenneth D. |
author_facet | Mitri, Christian Bischoff, Emmanuel Takashima, Eizo Williams, Marni Eiglmeier, Karin Pain, Adrien Guelbeogo, Wamdaogo M. Gneme, Awa Brito-Fravallo, Emma Holm, Inge Lavazec, Catherine Sagnon, N’Fale Baxter, Richard H. Riehle, Michelle M. Vernick, Kenneth D. |
author_sort | Mitri, Christian |
collection | PubMed |
description | Nucleotide variation patterns across species are shaped by the processes of natural selection, including exposure to environmental pathogens. We examined patterns of genetic variation in two sister species, Anopheles gambiae and Anopheles coluzzii, both efficient natural vectors of human malaria in West Africa. We used the differentiation signature displayed by a known coordinate selective sweep of immune genes APL1 and TEP1 in A. coluzzii to design a population genetic screen trained on the sweep, classified a panel of 26 potential immune genes for concordance with the signature, and functionally tested their immune phenotypes. The screen results were strongly predictive for genes with protective immune phenotypes: genes meeting the screen criteria were significantly more likely to display a functional phenotype against malaria infection than genes not meeting the criteria (p = 0.0005). Thus, an evolution-based screen can efficiently prioritize candidate genes for labor-intensive downstream functional testing, and safely allow the elimination of genes not meeting the screen criteria. The suite of immune genes with characteristics similar to the APL1-TEP1 selective sweep appears to be more widespread in the A. coluzzii genome than previously recognized. The immune gene differentiation may be a consequence of adaptation of A. coluzzii to new pathogens encountered in its niche expansion during the separation from A. gambiae, although the role, if any of natural selection by Plasmodium is unknown. Application of the screen allowed identification of new functional immune factors, and assignment of new functions to known factors. We describe biochemical binding interactions between immune proteins that underlie functional activity for malaria infection, which highlights the interplay between pathogen specificity and the structure of immune complexes. We also find that most malaria-protective immune factors display phenotypes for either human or rodent malaria, with broad specificity a rarity. |
format | Online Article Text |
id | pubmed-4669117 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46691172015-12-10 An Evolution-Based Screen for Genetic Differentiation between Anopheles Sister Taxa Enriches for Detection of Functional Immune Factors Mitri, Christian Bischoff, Emmanuel Takashima, Eizo Williams, Marni Eiglmeier, Karin Pain, Adrien Guelbeogo, Wamdaogo M. Gneme, Awa Brito-Fravallo, Emma Holm, Inge Lavazec, Catherine Sagnon, N’Fale Baxter, Richard H. Riehle, Michelle M. Vernick, Kenneth D. PLoS Pathog Research Article Nucleotide variation patterns across species are shaped by the processes of natural selection, including exposure to environmental pathogens. We examined patterns of genetic variation in two sister species, Anopheles gambiae and Anopheles coluzzii, both efficient natural vectors of human malaria in West Africa. We used the differentiation signature displayed by a known coordinate selective sweep of immune genes APL1 and TEP1 in A. coluzzii to design a population genetic screen trained on the sweep, classified a panel of 26 potential immune genes for concordance with the signature, and functionally tested their immune phenotypes. The screen results were strongly predictive for genes with protective immune phenotypes: genes meeting the screen criteria were significantly more likely to display a functional phenotype against malaria infection than genes not meeting the criteria (p = 0.0005). Thus, an evolution-based screen can efficiently prioritize candidate genes for labor-intensive downstream functional testing, and safely allow the elimination of genes not meeting the screen criteria. The suite of immune genes with characteristics similar to the APL1-TEP1 selective sweep appears to be more widespread in the A. coluzzii genome than previously recognized. The immune gene differentiation may be a consequence of adaptation of A. coluzzii to new pathogens encountered in its niche expansion during the separation from A. gambiae, although the role, if any of natural selection by Plasmodium is unknown. Application of the screen allowed identification of new functional immune factors, and assignment of new functions to known factors. We describe biochemical binding interactions between immune proteins that underlie functional activity for malaria infection, which highlights the interplay between pathogen specificity and the structure of immune complexes. We also find that most malaria-protective immune factors display phenotypes for either human or rodent malaria, with broad specificity a rarity. Public Library of Science 2015-12-03 /pmc/articles/PMC4669117/ /pubmed/26633695 http://dx.doi.org/10.1371/journal.ppat.1005306 Text en © 2015 Mitri 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Mitri, Christian Bischoff, Emmanuel Takashima, Eizo Williams, Marni Eiglmeier, Karin Pain, Adrien Guelbeogo, Wamdaogo M. Gneme, Awa Brito-Fravallo, Emma Holm, Inge Lavazec, Catherine Sagnon, N’Fale Baxter, Richard H. Riehle, Michelle M. Vernick, Kenneth D. An Evolution-Based Screen for Genetic Differentiation between Anopheles Sister Taxa Enriches for Detection of Functional Immune Factors |
title | An Evolution-Based Screen for Genetic Differentiation between Anopheles Sister Taxa Enriches for Detection of Functional Immune Factors |
title_full | An Evolution-Based Screen for Genetic Differentiation between Anopheles Sister Taxa Enriches for Detection of Functional Immune Factors |
title_fullStr | An Evolution-Based Screen for Genetic Differentiation between Anopheles Sister Taxa Enriches for Detection of Functional Immune Factors |
title_full_unstemmed | An Evolution-Based Screen for Genetic Differentiation between Anopheles Sister Taxa Enriches for Detection of Functional Immune Factors |
title_short | An Evolution-Based Screen for Genetic Differentiation between Anopheles Sister Taxa Enriches for Detection of Functional Immune Factors |
title_sort | evolution-based screen for genetic differentiation between anopheles sister taxa enriches for detection of functional immune factors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4669117/ https://www.ncbi.nlm.nih.gov/pubmed/26633695 http://dx.doi.org/10.1371/journal.ppat.1005306 |
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