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Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen
Microsatellites are a tract of repetitive, short DNA motifs (usually 1 to 6 bp) abundant in eukaryotic genomes. They are robust molecular markers in many areas of studies. Development of microsatellite markers usually involves three steps: (1) obtaining microsatellite-containing sequences, (2) prime...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6538632/ https://www.ncbi.nlm.nih.gov/pubmed/31138887 http://dx.doi.org/10.1038/s41598-019-44411-z |
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author | Cai, Guohong Fleury, Tomara J. Zhang, Ning |
author_facet | Cai, Guohong Fleury, Tomara J. Zhang, Ning |
author_sort | Cai, Guohong |
collection | PubMed |
description | Microsatellites are a tract of repetitive, short DNA motifs (usually 1 to 6 bp) abundant in eukaryotic genomes. They are robust molecular markers in many areas of studies. Development of microsatellite markers usually involves three steps: (1) obtaining microsatellite-containing sequences, (2) primer design, and (3) screening microsatellite loci for polymorphism. The first and third steps require considerable resources. Next generation sequencing technologies have greatly alleviated the constraint of the first step. In this study, we leveraged the availability of genome assemblies of multiple individuals in many species and designed a comparative genomics approach to bioinformatically identify polymorphic loci. Our approach can eliminate or greatly reduce the need of experimental screening for polymorphism and ensure that the flanking regions do not have length difference that would confound interpretation of genotyping results using microsatellite markers. We applied this approach on Phytophthora sojae, a soybean pathogen, and identified 157 high-quality, informative microsatellite markers in this oomycete. Experimental validation of 20 loci supported bioinformatics predictions. Our approach can be readily applied to other organisms of which the genomes of multiple individuals have been sequenced. |
format | Online Article Text |
id | pubmed-6538632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65386322019-06-06 Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen Cai, Guohong Fleury, Tomara J. Zhang, Ning Sci Rep Article Microsatellites are a tract of repetitive, short DNA motifs (usually 1 to 6 bp) abundant in eukaryotic genomes. They are robust molecular markers in many areas of studies. Development of microsatellite markers usually involves three steps: (1) obtaining microsatellite-containing sequences, (2) primer design, and (3) screening microsatellite loci for polymorphism. The first and third steps require considerable resources. Next generation sequencing technologies have greatly alleviated the constraint of the first step. In this study, we leveraged the availability of genome assemblies of multiple individuals in many species and designed a comparative genomics approach to bioinformatically identify polymorphic loci. Our approach can eliminate or greatly reduce the need of experimental screening for polymorphism and ensure that the flanking regions do not have length difference that would confound interpretation of genotyping results using microsatellite markers. We applied this approach on Phytophthora sojae, a soybean pathogen, and identified 157 high-quality, informative microsatellite markers in this oomycete. Experimental validation of 20 loci supported bioinformatics predictions. Our approach can be readily applied to other organisms of which the genomes of multiple individuals have been sequenced. Nature Publishing Group UK 2019-05-28 /pmc/articles/PMC6538632/ /pubmed/31138887 http://dx.doi.org/10.1038/s41598-019-44411-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Cai, Guohong Fleury, Tomara J. Zhang, Ning Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen |
title | Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen |
title_full | Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen |
title_fullStr | Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen |
title_full_unstemmed | Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen |
title_short | Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen |
title_sort | comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on phytophthora sojae, a soybean pathogen |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6538632/ https://www.ncbi.nlm.nih.gov/pubmed/31138887 http://dx.doi.org/10.1038/s41598-019-44411-z |
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