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Fast sequence-based microsatellite genotyping development workflow

Application of high-throughput sequencing technologies to microsatellite genotyping (SSRseq) has been shown to remove many of the limitations of electrophoresis-based methods and to refine inference of population genetic diversity and structure. We present here a streamlined SSRseq development workf...

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Autores principales: Lepais, Olivier, Chancerel, Emilie, Boury, Christophe, Salin, Franck, Manicki, Aurélie, Taillebois, Laura, Dutech, Cyril, Aissi, Abdeldjalil, Bacles, Cecile F.E., Daverat, Françoise, Launey, Sophie, Guichoux, Erwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204839/
https://www.ncbi.nlm.nih.gov/pubmed/32411534
http://dx.doi.org/10.7717/peerj.9085
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author Lepais, Olivier
Chancerel, Emilie
Boury, Christophe
Salin, Franck
Manicki, Aurélie
Taillebois, Laura
Dutech, Cyril
Aissi, Abdeldjalil
Bacles, Cecile F.E.
Daverat, Françoise
Launey, Sophie
Guichoux, Erwan
author_facet Lepais, Olivier
Chancerel, Emilie
Boury, Christophe
Salin, Franck
Manicki, Aurélie
Taillebois, Laura
Dutech, Cyril
Aissi, Abdeldjalil
Bacles, Cecile F.E.
Daverat, Françoise
Launey, Sophie
Guichoux, Erwan
author_sort Lepais, Olivier
collection PubMed
description Application of high-throughput sequencing technologies to microsatellite genotyping (SSRseq) has been shown to remove many of the limitations of electrophoresis-based methods and to refine inference of population genetic diversity and structure. We present here a streamlined SSRseq development workflow that includes microsatellite development, multiplexed marker amplification and sequencing, and automated bioinformatics data analysis. We illustrate its application to five groups of species across phyla (fungi, plant, insect and fish) with different levels of genomic resource availability. We found that relying on previously developed microsatellite assay is not optimal and leads to a resulting low number of reliable locus being genotyped. In contrast, de novo ad hoc primer designs gives highly multiplexed microsatellite assays that can be sequenced to produce high quality genotypes for 20–40 loci. We highlight critical upfront development factors to consider for effective SSRseq setup in a wide range of situations. Sequence analysis accounting for all linked polymorphisms along the sequence quickly generates a powerful multi-allelic haplotype-based genotypic dataset, calling to new theoretical and analytical frameworks to extract more information from multi-nucleotide polymorphism marker systems.
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spelling pubmed-72048392020-05-14 Fast sequence-based microsatellite genotyping development workflow Lepais, Olivier Chancerel, Emilie Boury, Christophe Salin, Franck Manicki, Aurélie Taillebois, Laura Dutech, Cyril Aissi, Abdeldjalil Bacles, Cecile F.E. Daverat, Françoise Launey, Sophie Guichoux, Erwan PeerJ Conservation Biology Application of high-throughput sequencing technologies to microsatellite genotyping (SSRseq) has been shown to remove many of the limitations of electrophoresis-based methods and to refine inference of population genetic diversity and structure. We present here a streamlined SSRseq development workflow that includes microsatellite development, multiplexed marker amplification and sequencing, and automated bioinformatics data analysis. We illustrate its application to five groups of species across phyla (fungi, plant, insect and fish) with different levels of genomic resource availability. We found that relying on previously developed microsatellite assay is not optimal and leads to a resulting low number of reliable locus being genotyped. In contrast, de novo ad hoc primer designs gives highly multiplexed microsatellite assays that can be sequenced to produce high quality genotypes for 20–40 loci. We highlight critical upfront development factors to consider for effective SSRseq setup in a wide range of situations. Sequence analysis accounting for all linked polymorphisms along the sequence quickly generates a powerful multi-allelic haplotype-based genotypic dataset, calling to new theoretical and analytical frameworks to extract more information from multi-nucleotide polymorphism marker systems. PeerJ Inc. 2020-05-04 /pmc/articles/PMC7204839/ /pubmed/32411534 http://dx.doi.org/10.7717/peerj.9085 Text en ©2020 Lepais et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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 Conservation Biology
Lepais, Olivier
Chancerel, Emilie
Boury, Christophe
Salin, Franck
Manicki, Aurélie
Taillebois, Laura
Dutech, Cyril
Aissi, Abdeldjalil
Bacles, Cecile F.E.
Daverat, Françoise
Launey, Sophie
Guichoux, Erwan
Fast sequence-based microsatellite genotyping development workflow
title Fast sequence-based microsatellite genotyping development workflow
title_full Fast sequence-based microsatellite genotyping development workflow
title_fullStr Fast sequence-based microsatellite genotyping development workflow
title_full_unstemmed Fast sequence-based microsatellite genotyping development workflow
title_short Fast sequence-based microsatellite genotyping development workflow
title_sort fast sequence-based microsatellite genotyping development workflow
topic Conservation Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204839/
https://www.ncbi.nlm.nih.gov/pubmed/32411534
http://dx.doi.org/10.7717/peerj.9085
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