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Development of a large SNPs resource and a low-density SNP array for brown trout (Salmo trutta) population genetics
BACKGROUND: The brown trout (Salmo trutta) is an economically and ecologically important species for which population genetic monitoring is frequently performed. The most commonly used genetic markers for this species are microsatellites and mitochondrial markers that lack replicability among labora...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631668/ https://www.ncbi.nlm.nih.gov/pubmed/31307373 http://dx.doi.org/10.1186/s12864-019-5958-9 |
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author | Saint-Pé, Keoni Leitwein, Maeva Tissot, Laurence Poulet, Nicolas Guinand, Bruno Berrebi, Patrick Marselli, Geoffrey Lascaux, Jean-Marc Gagnaire, Pierre-Alexandre Blanchet, Simon |
author_facet | Saint-Pé, Keoni Leitwein, Maeva Tissot, Laurence Poulet, Nicolas Guinand, Bruno Berrebi, Patrick Marselli, Geoffrey Lascaux, Jean-Marc Gagnaire, Pierre-Alexandre Blanchet, Simon |
author_sort | Saint-Pé, Keoni |
collection | PubMed |
description | BACKGROUND: The brown trout (Salmo trutta) is an economically and ecologically important species for which population genetic monitoring is frequently performed. The most commonly used genetic markers for this species are microsatellites and mitochondrial markers that lack replicability among laboratories, and a large genome coverage. An alternative that may be particularly efficient and universal is the development of small to large panels of Single Nucleotide Polymorphism markers (SNPs). Here, we used Restriction site Associated DNA sequences (RADs) markers to identify a set of 12,204 informative SNPs positioned on the brown trout linkage map and suitable for population genetics studies. Then, we used this novel resource to develop a cost-effective array of 192 SNPs (96 × 2) evenly spread on this map. This array was tested for genotyping success in five independent rivers occupied by two main brown trout evolutionary lineages (Atlantic -AT- and Mediterranean -ME-) on a total of 1862 individuals. Moreover, inference of admixture rate with domestic strains and population differentiation were assessed for a small river system (the Taurion River, 190 individuals) and results were compared to a panel of 13 microsatellites. RESULTS: A high genotyping success was observed for all rivers (< 1% of non-genotyped loci per individual), although some initially used SNP failed to be amplified, probably because of mutations in primers, and were replaced. These SNPs permitted to identify patterns of isolation-by-distance for some rivers. Finally, we found that microsatellite and SNP markers yielded very similar patterns for population differentiation and admixture assessments, with SNPs having better ability to detect introgression and differentiation. CONCLUSIONS: The novel resources provided here opens new perspectives for universality and genome-wide studies in brown trout populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5958-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6631668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66316682019-07-24 Development of a large SNPs resource and a low-density SNP array for brown trout (Salmo trutta) population genetics Saint-Pé, Keoni Leitwein, Maeva Tissot, Laurence Poulet, Nicolas Guinand, Bruno Berrebi, Patrick Marselli, Geoffrey Lascaux, Jean-Marc Gagnaire, Pierre-Alexandre Blanchet, Simon BMC Genomics Methodology Article BACKGROUND: The brown trout (Salmo trutta) is an economically and ecologically important species for which population genetic monitoring is frequently performed. The most commonly used genetic markers for this species are microsatellites and mitochondrial markers that lack replicability among laboratories, and a large genome coverage. An alternative that may be particularly efficient and universal is the development of small to large panels of Single Nucleotide Polymorphism markers (SNPs). Here, we used Restriction site Associated DNA sequences (RADs) markers to identify a set of 12,204 informative SNPs positioned on the brown trout linkage map and suitable for population genetics studies. Then, we used this novel resource to develop a cost-effective array of 192 SNPs (96 × 2) evenly spread on this map. This array was tested for genotyping success in five independent rivers occupied by two main brown trout evolutionary lineages (Atlantic -AT- and Mediterranean -ME-) on a total of 1862 individuals. Moreover, inference of admixture rate with domestic strains and population differentiation were assessed for a small river system (the Taurion River, 190 individuals) and results were compared to a panel of 13 microsatellites. RESULTS: A high genotyping success was observed for all rivers (< 1% of non-genotyped loci per individual), although some initially used SNP failed to be amplified, probably because of mutations in primers, and were replaced. These SNPs permitted to identify patterns of isolation-by-distance for some rivers. Finally, we found that microsatellite and SNP markers yielded very similar patterns for population differentiation and admixture assessments, with SNPs having better ability to detect introgression and differentiation. CONCLUSIONS: The novel resources provided here opens new perspectives for universality and genome-wide studies in brown trout populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5958-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-15 /pmc/articles/PMC6631668/ /pubmed/31307373 http://dx.doi.org/10.1186/s12864-019-5958-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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 Saint-Pé, Keoni Leitwein, Maeva Tissot, Laurence Poulet, Nicolas Guinand, Bruno Berrebi, Patrick Marselli, Geoffrey Lascaux, Jean-Marc Gagnaire, Pierre-Alexandre Blanchet, Simon Development of a large SNPs resource and a low-density SNP array for brown trout (Salmo trutta) population genetics |
title | Development of a large SNPs resource and a low-density SNP array for brown trout (Salmo trutta) population genetics |
title_full | Development of a large SNPs resource and a low-density SNP array for brown trout (Salmo trutta) population genetics |
title_fullStr | Development of a large SNPs resource and a low-density SNP array for brown trout (Salmo trutta) population genetics |
title_full_unstemmed | Development of a large SNPs resource and a low-density SNP array for brown trout (Salmo trutta) population genetics |
title_short | Development of a large SNPs resource and a low-density SNP array for brown trout (Salmo trutta) population genetics |
title_sort | development of a large snps resource and a low-density snp array for brown trout (salmo trutta) population genetics |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631668/ https://www.ncbi.nlm.nih.gov/pubmed/31307373 http://dx.doi.org/10.1186/s12864-019-5958-9 |
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