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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2020
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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. |
format | Online Article Text |
id | pubmed-7204839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
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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