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Detection and application of genome-wide variations in peach for association and genetic relationship analysis
BACKGROUND: Peach (Prunus persica L.) is a diploid species and model plant of the Rosaceae family. In the past decade, significant progress has been made in peach genetic research via DNA markers, but the number of these markers remains limited. RESULTS: In this study, we performed a genome-wide DNA...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937647/ https://www.ncbi.nlm.nih.gov/pubmed/31888445 http://dx.doi.org/10.1186/s12863-019-0799-8 |
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author | Guan, Liping Cao, Ke Li, Yong Guo, Jian Xu, Qiang Wang, Lirong |
author_facet | Guan, Liping Cao, Ke Li, Yong Guo, Jian Xu, Qiang Wang, Lirong |
author_sort | Guan, Liping |
collection | PubMed |
description | BACKGROUND: Peach (Prunus persica L.) is a diploid species and model plant of the Rosaceae family. In the past decade, significant progress has been made in peach genetic research via DNA markers, but the number of these markers remains limited. RESULTS: In this study, we performed a genome-wide DNA markers detection based on sequencing data of six distantly related peach accessions. A total of 650,693~1,053,547 single nucleotide polymorphisms (SNPs), 114,227~178,968 small insertion/deletions (InDels), 8386~12,298 structure variants (SVs), 2111~2581 copy number variants (CNVs) and 229,357~346,940 simple sequence repeats (SSRs) were detected and annotated. To demonstrate the application of DNA markers, 944 SNPs were filtered for association study of fruit ripening time and 15 highly polymorphic SSRs were selected to analyze the genetic relationship among 221 accessions. CONCLUSIONS: The results showed that the use of high-throughput sequencing to develop DNA markers is fast and effective. Comprehensive identification of DNA markers, including SVs and SSRs, would be of benefit to genetic diversity evaluation, genetic mapping, and molecular breeding of peach. |
format | Online Article Text |
id | pubmed-6937647 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69376472019-12-31 Detection and application of genome-wide variations in peach for association and genetic relationship analysis Guan, Liping Cao, Ke Li, Yong Guo, Jian Xu, Qiang Wang, Lirong BMC Genet Research Article BACKGROUND: Peach (Prunus persica L.) is a diploid species and model plant of the Rosaceae family. In the past decade, significant progress has been made in peach genetic research via DNA markers, but the number of these markers remains limited. RESULTS: In this study, we performed a genome-wide DNA markers detection based on sequencing data of six distantly related peach accessions. A total of 650,693~1,053,547 single nucleotide polymorphisms (SNPs), 114,227~178,968 small insertion/deletions (InDels), 8386~12,298 structure variants (SVs), 2111~2581 copy number variants (CNVs) and 229,357~346,940 simple sequence repeats (SSRs) were detected and annotated. To demonstrate the application of DNA markers, 944 SNPs were filtered for association study of fruit ripening time and 15 highly polymorphic SSRs were selected to analyze the genetic relationship among 221 accessions. CONCLUSIONS: The results showed that the use of high-throughput sequencing to develop DNA markers is fast and effective. Comprehensive identification of DNA markers, including SVs and SSRs, would be of benefit to genetic diversity evaluation, genetic mapping, and molecular breeding of peach. BioMed Central 2019-12-30 /pmc/articles/PMC6937647/ /pubmed/31888445 http://dx.doi.org/10.1186/s12863-019-0799-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Guan, Liping Cao, Ke Li, Yong Guo, Jian Xu, Qiang Wang, Lirong Detection and application of genome-wide variations in peach for association and genetic relationship analysis |
title | Detection and application of genome-wide variations in peach for association and genetic relationship analysis |
title_full | Detection and application of genome-wide variations in peach for association and genetic relationship analysis |
title_fullStr | Detection and application of genome-wide variations in peach for association and genetic relationship analysis |
title_full_unstemmed | Detection and application of genome-wide variations in peach for association and genetic relationship analysis |
title_short | Detection and application of genome-wide variations in peach for association and genetic relationship analysis |
title_sort | detection and application of genome-wide variations in peach for association and genetic relationship analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937647/ https://www.ncbi.nlm.nih.gov/pubmed/31888445 http://dx.doi.org/10.1186/s12863-019-0799-8 |
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