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Distinguishing migration from isolation using genes with intragenic recombination: detecting introgression in the Drosophila simulans species complex

BACKGROUND: Determining the presence or absence of gene flow between populations is the target of some statistical methods in population genetics. Until recently, these methods either avoided the use of recombining genes, or treated recombination as a nuisance parameter. However, genes with recombin...

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Autores principales: Navascués, Miguel, Legrand, Delphine, Campagne, Cécile, Cariou, Marie-Louise, Depaulis, Frantz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022370/
https://www.ncbi.nlm.nih.gov/pubmed/24762206
http://dx.doi.org/10.1186/1471-2148-14-89
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author Navascués, Miguel
Legrand, Delphine
Campagne, Cécile
Cariou, Marie-Louise
Depaulis, Frantz
author_facet Navascués, Miguel
Legrand, Delphine
Campagne, Cécile
Cariou, Marie-Louise
Depaulis, Frantz
author_sort Navascués, Miguel
collection PubMed
description BACKGROUND: Determining the presence or absence of gene flow between populations is the target of some statistical methods in population genetics. Until recently, these methods either avoided the use of recombining genes, or treated recombination as a nuisance parameter. However, genes with recombination contribute additional information for the detection of gene flow (i.e. through linkage disequilibrium). METHODS: We present three summary statistics based on the spatial arrangement of fixed differences, and shared and exclusive polymorphisms that are sensitive to the presence and direction of gene flow. Power and false positive rate for tests based on these statistics are studied by simulation. RESULTS: The application of these tests to populations from the Drosophila simulans species complex yielded results consistent with migration between D. simulans and its two endemic sister species D. mauritiana and D. sechellia, and between populations D. mauritiana on the islands of the Mauritius and Rodrigues. CONCLUSIONS: We demonstrate the sensitivity of the developed statistics to the presence and direction of gene flow, and characterize their power as a function of differentiation level and recombination rate. The properties of these statistics make them especially suitable for analyzing high-throughput sequencing data or for their integration within the approximate Bayesian computation framework.
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spelling pubmed-40223702014-05-28 Distinguishing migration from isolation using genes with intragenic recombination: detecting introgression in the Drosophila simulans species complex Navascués, Miguel Legrand, Delphine Campagne, Cécile Cariou, Marie-Louise Depaulis, Frantz BMC Evol Biol Methodology Article BACKGROUND: Determining the presence or absence of gene flow between populations is the target of some statistical methods in population genetics. Until recently, these methods either avoided the use of recombining genes, or treated recombination as a nuisance parameter. However, genes with recombination contribute additional information for the detection of gene flow (i.e. through linkage disequilibrium). METHODS: We present three summary statistics based on the spatial arrangement of fixed differences, and shared and exclusive polymorphisms that are sensitive to the presence and direction of gene flow. Power and false positive rate for tests based on these statistics are studied by simulation. RESULTS: The application of these tests to populations from the Drosophila simulans species complex yielded results consistent with migration between D. simulans and its two endemic sister species D. mauritiana and D. sechellia, and between populations D. mauritiana on the islands of the Mauritius and Rodrigues. CONCLUSIONS: We demonstrate the sensitivity of the developed statistics to the presence and direction of gene flow, and characterize their power as a function of differentiation level and recombination rate. The properties of these statistics make them especially suitable for analyzing high-throughput sequencing data or for their integration within the approximate Bayesian computation framework. BioMed Central 2014-04-24 /pmc/articles/PMC4022370/ /pubmed/24762206 http://dx.doi.org/10.1186/1471-2148-14-89 Text en Copyright © 2014 Navascués et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Methodology Article
Navascués, Miguel
Legrand, Delphine
Campagne, Cécile
Cariou, Marie-Louise
Depaulis, Frantz
Distinguishing migration from isolation using genes with intragenic recombination: detecting introgression in the Drosophila simulans species complex
title Distinguishing migration from isolation using genes with intragenic recombination: detecting introgression in the Drosophila simulans species complex
title_full Distinguishing migration from isolation using genes with intragenic recombination: detecting introgression in the Drosophila simulans species complex
title_fullStr Distinguishing migration from isolation using genes with intragenic recombination: detecting introgression in the Drosophila simulans species complex
title_full_unstemmed Distinguishing migration from isolation using genes with intragenic recombination: detecting introgression in the Drosophila simulans species complex
title_short Distinguishing migration from isolation using genes with intragenic recombination: detecting introgression in the Drosophila simulans species complex
title_sort distinguishing migration from isolation using genes with intragenic recombination: detecting introgression in the drosophila simulans species complex
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022370/
https://www.ncbi.nlm.nih.gov/pubmed/24762206
http://dx.doi.org/10.1186/1471-2148-14-89
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