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Genetic diversity analysis and variety identification using SSR and SNP markers in melon
Melon is an important horticultural crop with a pleasant aromatic flavor and abundance of health-promoting substances. Numerous melon varieties have been cultivated worldwide in recent years, but the high number of varieties and the high similarity between them poses a major challenge for variety ev...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9847184/ https://www.ncbi.nlm.nih.gov/pubmed/36650465 http://dx.doi.org/10.1186/s12870-023-04056-7 |
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author | Zhang, Jian Yang, Jingjing Lv, Yanling Zhang, Xiaofei Xia, Changxuan Zhao, Hong Wen, Changlong |
author_facet | Zhang, Jian Yang, Jingjing Lv, Yanling Zhang, Xiaofei Xia, Changxuan Zhao, Hong Wen, Changlong |
author_sort | Zhang, Jian |
collection | PubMed |
description | Melon is an important horticultural crop with a pleasant aromatic flavor and abundance of health-promoting substances. Numerous melon varieties have been cultivated worldwide in recent years, but the high number of varieties and the high similarity between them poses a major challenge for variety evaluation, discrimination, as well as innovation in breeding. Recently, simple sequence repeats (SSRs) and single nucleotide polymorphisms (SNPs), two robust molecular markers, have been utilized as a rapid and reliable method for variety identification. To elucidate the genetic structure and diversity of melon varieties, we screened out 136 perfect SSRs and 164 perfect SNPs from the resequencing data of 149 accessions, including the most representative lines worldwide. This study established the DNA fingerprint of 259 widely-cultivated melon varieties in China using Target-seq technology. All melon varieties were classified into five subgruops, including ssp. agrestis, ssp. melo, muskmelon and two subgroups of foreign individuals. Compared with ssp. melo, the ssp. agrestis varieties might be exposed to a high risk of genetic erosion due to their extremely narrow genetic background. Increasing the gene exchange between ssp. melo and ssp. agrestis is therefore necessary in the breeding procedure. In addition, analysis of the DNA fingerprints of the 259 melon varieties showed a good linear correlation (R(2) = 0.9722) between the SSR genotyping and SNP genotyping methods in variety identification. The pedigree analysis based on the DNA fingerprint of ‘Jingyu’ and ‘Jingmi’ series melon varieties was consistent with their breeding history. Based on the SNP index analysis, ssp. agrestis had low gene exchange with ssp. melo in chromosome 4, 7, 10, 11and 12, two specific SNP loci were verified to distinguish ssp. agrestis and ssp. melon varieties. Finally, 23 SSRs and 40 SNPs were selected as the core sets of markers for application in variety identification, which could be efficiently applied to variety authentication, variety monitoring, as well as the protection of intellectual property rights in melon. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-023-04056-7. |
format | Online Article Text |
id | pubmed-9847184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98471842023-01-19 Genetic diversity analysis and variety identification using SSR and SNP markers in melon Zhang, Jian Yang, Jingjing Lv, Yanling Zhang, Xiaofei Xia, Changxuan Zhao, Hong Wen, Changlong BMC Plant Biol Research Melon is an important horticultural crop with a pleasant aromatic flavor and abundance of health-promoting substances. Numerous melon varieties have been cultivated worldwide in recent years, but the high number of varieties and the high similarity between them poses a major challenge for variety evaluation, discrimination, as well as innovation in breeding. Recently, simple sequence repeats (SSRs) and single nucleotide polymorphisms (SNPs), two robust molecular markers, have been utilized as a rapid and reliable method for variety identification. To elucidate the genetic structure and diversity of melon varieties, we screened out 136 perfect SSRs and 164 perfect SNPs from the resequencing data of 149 accessions, including the most representative lines worldwide. This study established the DNA fingerprint of 259 widely-cultivated melon varieties in China using Target-seq technology. All melon varieties were classified into five subgruops, including ssp. agrestis, ssp. melo, muskmelon and two subgroups of foreign individuals. Compared with ssp. melo, the ssp. agrestis varieties might be exposed to a high risk of genetic erosion due to their extremely narrow genetic background. Increasing the gene exchange between ssp. melo and ssp. agrestis is therefore necessary in the breeding procedure. In addition, analysis of the DNA fingerprints of the 259 melon varieties showed a good linear correlation (R(2) = 0.9722) between the SSR genotyping and SNP genotyping methods in variety identification. The pedigree analysis based on the DNA fingerprint of ‘Jingyu’ and ‘Jingmi’ series melon varieties was consistent with their breeding history. Based on the SNP index analysis, ssp. agrestis had low gene exchange with ssp. melo in chromosome 4, 7, 10, 11and 12, two specific SNP loci were verified to distinguish ssp. agrestis and ssp. melon varieties. Finally, 23 SSRs and 40 SNPs were selected as the core sets of markers for application in variety identification, which could be efficiently applied to variety authentication, variety monitoring, as well as the protection of intellectual property rights in melon. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-023-04056-7. BioMed Central 2023-01-18 /pmc/articles/PMC9847184/ /pubmed/36650465 http://dx.doi.org/10.1186/s12870-023-04056-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhang, Jian Yang, Jingjing Lv, Yanling Zhang, Xiaofei Xia, Changxuan Zhao, Hong Wen, Changlong Genetic diversity analysis and variety identification using SSR and SNP markers in melon |
title | Genetic diversity analysis and variety identification using SSR and SNP markers in melon |
title_full | Genetic diversity analysis and variety identification using SSR and SNP markers in melon |
title_fullStr | Genetic diversity analysis and variety identification using SSR and SNP markers in melon |
title_full_unstemmed | Genetic diversity analysis and variety identification using SSR and SNP markers in melon |
title_short | Genetic diversity analysis and variety identification using SSR and SNP markers in melon |
title_sort | genetic diversity analysis and variety identification using ssr and snp markers in melon |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9847184/ https://www.ncbi.nlm.nih.gov/pubmed/36650465 http://dx.doi.org/10.1186/s12870-023-04056-7 |
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