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SSR‐seq: Genotyping of microsatellites using next‐generation sequencing reveals higher level of polymorphism as compared to traditional fragment size scoring

Microsatellites (or simple sequence repeats, SSR) are widely used markers in population genetics. Traditionally, genotyping was and still is carried out through recording fragment length. Now, next‐generation sequencing (NGS) makes it easy to obtain also sequence information for the loci of interest...

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Autores principales: Šarhanová, Petra, Pfanzelt, Simon, Brandt, Ronny, Himmelbach, Axel, Blattner, Frank R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6262739/
https://www.ncbi.nlm.nih.gov/pubmed/30519409
http://dx.doi.org/10.1002/ece3.4533
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author Šarhanová, Petra
Pfanzelt, Simon
Brandt, Ronny
Himmelbach, Axel
Blattner, Frank R.
author_facet Šarhanová, Petra
Pfanzelt, Simon
Brandt, Ronny
Himmelbach, Axel
Blattner, Frank R.
author_sort Šarhanová, Petra
collection PubMed
description Microsatellites (or simple sequence repeats, SSR) are widely used markers in population genetics. Traditionally, genotyping was and still is carried out through recording fragment length. Now, next‐generation sequencing (NGS) makes it easy to obtain also sequence information for the loci of interest. This avoids misinterpretations that otherwise could arise due to size homoplasy. Here, an NGS strategy is described that allows to genotype hundreds of individuals at many custom‐designed SSR loci simultaneously, combining multiplex PCR, barcoding, and Illumina sequencing. We created three different datasets for which alleles were coded according to (a) length of the repetitive region, (b) total fragment length, and (c) sequence identity, in order to evaluate the eventual benefits from having sequence data at hand, not only fragment length data. For each dataset, genetic diversity statistics, as well as F (ST) and R (ST) values, were calculated. The number of alleles per locus, as well as observed and expected heterozygosity, was highest in the sequence identity dataset, because of single‐nucleotide polymorphisms and insertions/deletions in the flanking regions of the SSR motif. Size homoplasy was found to be very common, amounting to 44.7%–63.5% (mean over all loci) in the three study species. Thus, the information obtained by next‐generation sequencing offers a better resolution than the traditional way of SSR genotyping and allows for more accurate evolutionary interpretations.
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spelling pubmed-62627392018-12-05 SSR‐seq: Genotyping of microsatellites using next‐generation sequencing reveals higher level of polymorphism as compared to traditional fragment size scoring Šarhanová, Petra Pfanzelt, Simon Brandt, Ronny Himmelbach, Axel Blattner, Frank R. Ecol Evol Original Research Microsatellites (or simple sequence repeats, SSR) are widely used markers in population genetics. Traditionally, genotyping was and still is carried out through recording fragment length. Now, next‐generation sequencing (NGS) makes it easy to obtain also sequence information for the loci of interest. This avoids misinterpretations that otherwise could arise due to size homoplasy. Here, an NGS strategy is described that allows to genotype hundreds of individuals at many custom‐designed SSR loci simultaneously, combining multiplex PCR, barcoding, and Illumina sequencing. We created three different datasets for which alleles were coded according to (a) length of the repetitive region, (b) total fragment length, and (c) sequence identity, in order to evaluate the eventual benefits from having sequence data at hand, not only fragment length data. For each dataset, genetic diversity statistics, as well as F (ST) and R (ST) values, were calculated. The number of alleles per locus, as well as observed and expected heterozygosity, was highest in the sequence identity dataset, because of single‐nucleotide polymorphisms and insertions/deletions in the flanking regions of the SSR motif. Size homoplasy was found to be very common, amounting to 44.7%–63.5% (mean over all loci) in the three study species. Thus, the information obtained by next‐generation sequencing offers a better resolution than the traditional way of SSR genotyping and allows for more accurate evolutionary interpretations. John Wiley and Sons Inc. 2018-10-25 /pmc/articles/PMC6262739/ /pubmed/30519409 http://dx.doi.org/10.1002/ece3.4533 Text en © 2018 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Šarhanová, Petra
Pfanzelt, Simon
Brandt, Ronny
Himmelbach, Axel
Blattner, Frank R.
SSR‐seq: Genotyping of microsatellites using next‐generation sequencing reveals higher level of polymorphism as compared to traditional fragment size scoring
title SSR‐seq: Genotyping of microsatellites using next‐generation sequencing reveals higher level of polymorphism as compared to traditional fragment size scoring
title_full SSR‐seq: Genotyping of microsatellites using next‐generation sequencing reveals higher level of polymorphism as compared to traditional fragment size scoring
title_fullStr SSR‐seq: Genotyping of microsatellites using next‐generation sequencing reveals higher level of polymorphism as compared to traditional fragment size scoring
title_full_unstemmed SSR‐seq: Genotyping of microsatellites using next‐generation sequencing reveals higher level of polymorphism as compared to traditional fragment size scoring
title_short SSR‐seq: Genotyping of microsatellites using next‐generation sequencing reveals higher level of polymorphism as compared to traditional fragment size scoring
title_sort ssr‐seq: genotyping of microsatellites using next‐generation sequencing reveals higher level of polymorphism as compared to traditional fragment size scoring
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6262739/
https://www.ncbi.nlm.nih.gov/pubmed/30519409
http://dx.doi.org/10.1002/ece3.4533
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