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High‐throughput sequencing and graph‐based cluster analysis facilitate microsatellite development from a highly complex genome

Despite recent advances in high‐throughput sequencing, difficulties are often encountered when developing microsatellites for species with large and complex genomes. This probably reflects the close association in many species of microsatellites with cryptic repetitive elements. We therefore develop...

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Autores principales: Shah, Abhijeet B., Schielzeth, Holger, Albersmeier, Andreas, Kalinowski, Joern, Hoffman, Joseph I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4983586/
https://www.ncbi.nlm.nih.gov/pubmed/27547349
http://dx.doi.org/10.1002/ece3.2305
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author Shah, Abhijeet B.
Schielzeth, Holger
Albersmeier, Andreas
Kalinowski, Joern
Hoffman, Joseph I.
author_facet Shah, Abhijeet B.
Schielzeth, Holger
Albersmeier, Andreas
Kalinowski, Joern
Hoffman, Joseph I.
author_sort Shah, Abhijeet B.
collection PubMed
description Despite recent advances in high‐throughput sequencing, difficulties are often encountered when developing microsatellites for species with large and complex genomes. This probably reflects the close association in many species of microsatellites with cryptic repetitive elements. We therefore developed a novel approach for isolating polymorphic microsatellites from the club‐legged grasshopper (Gomphocerus sibiricus), an emerging quantitative genetic and behavioral model system. Whole genome shotgun Illumina MiSeq sequencing was used to generate over three million 300 bp paired‐end reads, of which 67.75% were grouped into 40,548 clusters within RepeatExplorer. Annotations of the top 468 clusters, which represent 60.5% of the reads, revealed homology to satellite DNA and a variety of transposable elements. Evaluating 96 primer pairs in eight wild‐caught individuals, we found that primers mined from singleton reads were six times more likely to amplify a single polymorphic microsatellite locus than primers mined from clusters. Our study provides experimental evidence in support of the notion that microsatellites associated with repetitive elements are less likely to successfully amplify. It also reveals how advances in high‐throughput sequencing and graph‐based repetitive DNA analysis can be leveraged to isolate polymorphic microsatellites from complex genomes.
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spelling pubmed-49835862016-08-19 High‐throughput sequencing and graph‐based cluster analysis facilitate microsatellite development from a highly complex genome Shah, Abhijeet B. Schielzeth, Holger Albersmeier, Andreas Kalinowski, Joern Hoffman, Joseph I. Ecol Evol Original Research Despite recent advances in high‐throughput sequencing, difficulties are often encountered when developing microsatellites for species with large and complex genomes. This probably reflects the close association in many species of microsatellites with cryptic repetitive elements. We therefore developed a novel approach for isolating polymorphic microsatellites from the club‐legged grasshopper (Gomphocerus sibiricus), an emerging quantitative genetic and behavioral model system. Whole genome shotgun Illumina MiSeq sequencing was used to generate over three million 300 bp paired‐end reads, of which 67.75% were grouped into 40,548 clusters within RepeatExplorer. Annotations of the top 468 clusters, which represent 60.5% of the reads, revealed homology to satellite DNA and a variety of transposable elements. Evaluating 96 primer pairs in eight wild‐caught individuals, we found that primers mined from singleton reads were six times more likely to amplify a single polymorphic microsatellite locus than primers mined from clusters. Our study provides experimental evidence in support of the notion that microsatellites associated with repetitive elements are less likely to successfully amplify. It also reveals how advances in high‐throughput sequencing and graph‐based repetitive DNA analysis can be leveraged to isolate polymorphic microsatellites from complex genomes. John Wiley and Sons Inc. 2016-07-22 /pmc/articles/PMC4983586/ /pubmed/27547349 http://dx.doi.org/10.1002/ece3.2305 Text en © 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (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
Shah, Abhijeet B.
Schielzeth, Holger
Albersmeier, Andreas
Kalinowski, Joern
Hoffman, Joseph I.
High‐throughput sequencing and graph‐based cluster analysis facilitate microsatellite development from a highly complex genome
title High‐throughput sequencing and graph‐based cluster analysis facilitate microsatellite development from a highly complex genome
title_full High‐throughput sequencing and graph‐based cluster analysis facilitate microsatellite development from a highly complex genome
title_fullStr High‐throughput sequencing and graph‐based cluster analysis facilitate microsatellite development from a highly complex genome
title_full_unstemmed High‐throughput sequencing and graph‐based cluster analysis facilitate microsatellite development from a highly complex genome
title_short High‐throughput sequencing and graph‐based cluster analysis facilitate microsatellite development from a highly complex genome
title_sort high‐throughput sequencing and graph‐based cluster analysis facilitate microsatellite development from a highly complex genome
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4983586/
https://www.ncbi.nlm.nih.gov/pubmed/27547349
http://dx.doi.org/10.1002/ece3.2305
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