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Reconstructing the demographic history of divergence between European river and brook lampreys using approximate Bayesian computations

Inferring the history of isolation and gene flow during species divergence is a central question in evolutionary biology. The European river lamprey (Lampetra fluviatilis) and brook lamprey (L. planeri) show a low reproductive isolation but have highly distinct life histories, the former being paras...

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Autores principales: Rougemont, Quentin, Roux, Camille, Neuenschwander, Samuel, Goudet, Jérôme, Launey, Sophie, Evanno, Guillaume
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4830234/
https://www.ncbi.nlm.nih.gov/pubmed/27077007
http://dx.doi.org/10.7717/peerj.1910
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author Rougemont, Quentin
Roux, Camille
Neuenschwander, Samuel
Goudet, Jérôme
Launey, Sophie
Evanno, Guillaume
author_facet Rougemont, Quentin
Roux, Camille
Neuenschwander, Samuel
Goudet, Jérôme
Launey, Sophie
Evanno, Guillaume
author_sort Rougemont, Quentin
collection PubMed
description Inferring the history of isolation and gene flow during species divergence is a central question in evolutionary biology. The European river lamprey (Lampetra fluviatilis) and brook lamprey (L. planeri) show a low reproductive isolation but have highly distinct life histories, the former being parasitic-anadromous and the latter non-parasitic and freshwater resident. Here we used microsatellite data from six replicated population pairs to reconstruct their history of divergence using an approximate Bayesian computation framework combined with a random forest model. In most population pairs, scenarios of divergence with recent isolation were outcompeted by scenarios proposing ongoing gene flow, namely the Secondary Contact (SC) and Isolation with Migration (IM) models. The estimation of demographic parameters under the SC model indicated a time of secondary contact close to the time of speciation, explaining why SC and IM models could not be discriminated. In case of an ancient secondary contact, the historical signal of divergence is lost and neutral markers converge to the same equilibrium as under the less parameterized model allowing ongoing gene flow. Our results imply that models of secondary contacts should be systematically compared to models of divergence with gene flow; given the difficulty to discriminate among these models, we suggest that genome-wide data are needed to adequately reconstruct divergence history.
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spelling pubmed-48302342016-04-13 Reconstructing the demographic history of divergence between European river and brook lampreys using approximate Bayesian computations Rougemont, Quentin Roux, Camille Neuenschwander, Samuel Goudet, Jérôme Launey, Sophie Evanno, Guillaume PeerJ Aquaculture, Fisheries and Fish Science Inferring the history of isolation and gene flow during species divergence is a central question in evolutionary biology. The European river lamprey (Lampetra fluviatilis) and brook lamprey (L. planeri) show a low reproductive isolation but have highly distinct life histories, the former being parasitic-anadromous and the latter non-parasitic and freshwater resident. Here we used microsatellite data from six replicated population pairs to reconstruct their history of divergence using an approximate Bayesian computation framework combined with a random forest model. In most population pairs, scenarios of divergence with recent isolation were outcompeted by scenarios proposing ongoing gene flow, namely the Secondary Contact (SC) and Isolation with Migration (IM) models. The estimation of demographic parameters under the SC model indicated a time of secondary contact close to the time of speciation, explaining why SC and IM models could not be discriminated. In case of an ancient secondary contact, the historical signal of divergence is lost and neutral markers converge to the same equilibrium as under the less parameterized model allowing ongoing gene flow. Our results imply that models of secondary contacts should be systematically compared to models of divergence with gene flow; given the difficulty to discriminate among these models, we suggest that genome-wide data are needed to adequately reconstruct divergence history. PeerJ Inc. 2016-04-07 /pmc/articles/PMC4830234/ /pubmed/27077007 http://dx.doi.org/10.7717/peerj.1910 Text en ©2016 Rougemont 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, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Aquaculture, Fisheries and Fish Science
Rougemont, Quentin
Roux, Camille
Neuenschwander, Samuel
Goudet, Jérôme
Launey, Sophie
Evanno, Guillaume
Reconstructing the demographic history of divergence between European river and brook lampreys using approximate Bayesian computations
title Reconstructing the demographic history of divergence between European river and brook lampreys using approximate Bayesian computations
title_full Reconstructing the demographic history of divergence between European river and brook lampreys using approximate Bayesian computations
title_fullStr Reconstructing the demographic history of divergence between European river and brook lampreys using approximate Bayesian computations
title_full_unstemmed Reconstructing the demographic history of divergence between European river and brook lampreys using approximate Bayesian computations
title_short Reconstructing the demographic history of divergence between European river and brook lampreys using approximate Bayesian computations
title_sort reconstructing the demographic history of divergence between european river and brook lampreys using approximate bayesian computations
topic Aquaculture, Fisheries and Fish Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4830234/
https://www.ncbi.nlm.nih.gov/pubmed/27077007
http://dx.doi.org/10.7717/peerj.1910
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