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Genome-wide SNP identification and QTL mapping for black rot resistance in cabbage
BACKGROUND: Black rot is a destructive bacterial disease causing large yield and quality losses in Brassica oleracea. To detect quantitative trait loci (QTL) for black rot resistance, we performed whole-genome resequencing of two cabbage parental lines and genome-wide SNP identification using the re...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4323122/ https://www.ncbi.nlm.nih.gov/pubmed/25644124 http://dx.doi.org/10.1186/s12870-015-0424-6 |
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author | Lee, Jonghoon Izzah, Nur Kholilatul Jayakodi, Murukarthick Perumal, Sampath Joh, Ho Jun Lee, Hyeon Ju Lee, Sang-Choon Park, Jee Young Yang, Ki-Woung Nou, Il-Sup Seo, Joodeok Yoo, Jaeheung Suh, Youngdeok Ahn, Kyounggu Lee, Ji Hyun Choi, Gyung Ja Yu, Yeisoo Kim, Heebal Yang, Tae-Jin |
author_facet | Lee, Jonghoon Izzah, Nur Kholilatul Jayakodi, Murukarthick Perumal, Sampath Joh, Ho Jun Lee, Hyeon Ju Lee, Sang-Choon Park, Jee Young Yang, Ki-Woung Nou, Il-Sup Seo, Joodeok Yoo, Jaeheung Suh, Youngdeok Ahn, Kyounggu Lee, Ji Hyun Choi, Gyung Ja Yu, Yeisoo Kim, Heebal Yang, Tae-Jin |
author_sort | Lee, Jonghoon |
collection | PubMed |
description | BACKGROUND: Black rot is a destructive bacterial disease causing large yield and quality losses in Brassica oleracea. To detect quantitative trait loci (QTL) for black rot resistance, we performed whole-genome resequencing of two cabbage parental lines and genome-wide SNP identification using the recently published B. oleracea genome sequences as reference. RESULTS: Approximately 11.5 Gb of sequencing data was produced from each parental line. Reference genome-guided mapping and SNP calling revealed 674,521 SNPs between the two cabbage lines, with an average of one SNP per 662.5 bp. Among 167 dCAPS markers derived from candidate SNPs, 117 (70.1%) were validated as bona fide SNPs showing polymorphism between the parental lines. We then improved the resolution of a previous genetic map by adding 103 markers including 87 SNP-based dCAPS markers. The new map composed of 368 markers and covers 1467.3 cM with an average interval of 3.88 cM between adjacent markers. We evaluated black rot resistance in the mapping population in three independent inoculation tests using F(2:3) progenies and identified one major QTL and three minor QTLs. CONCLUSION: We report successful utilization of whole-genome resequencing for large-scale SNP identification and development of molecular markers for genetic map construction. In addition, we identified novel QTLs for black rot resistance. The high-density genetic map will promote QTL analysis for other important agricultural traits and marker-assisted breeding of B. oleracea. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-015-0424-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4323122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43231222015-02-11 Genome-wide SNP identification and QTL mapping for black rot resistance in cabbage Lee, Jonghoon Izzah, Nur Kholilatul Jayakodi, Murukarthick Perumal, Sampath Joh, Ho Jun Lee, Hyeon Ju Lee, Sang-Choon Park, Jee Young Yang, Ki-Woung Nou, Il-Sup Seo, Joodeok Yoo, Jaeheung Suh, Youngdeok Ahn, Kyounggu Lee, Ji Hyun Choi, Gyung Ja Yu, Yeisoo Kim, Heebal Yang, Tae-Jin BMC Plant Biol Research Article BACKGROUND: Black rot is a destructive bacterial disease causing large yield and quality losses in Brassica oleracea. To detect quantitative trait loci (QTL) for black rot resistance, we performed whole-genome resequencing of two cabbage parental lines and genome-wide SNP identification using the recently published B. oleracea genome sequences as reference. RESULTS: Approximately 11.5 Gb of sequencing data was produced from each parental line. Reference genome-guided mapping and SNP calling revealed 674,521 SNPs between the two cabbage lines, with an average of one SNP per 662.5 bp. Among 167 dCAPS markers derived from candidate SNPs, 117 (70.1%) were validated as bona fide SNPs showing polymorphism between the parental lines. We then improved the resolution of a previous genetic map by adding 103 markers including 87 SNP-based dCAPS markers. The new map composed of 368 markers and covers 1467.3 cM with an average interval of 3.88 cM between adjacent markers. We evaluated black rot resistance in the mapping population in three independent inoculation tests using F(2:3) progenies and identified one major QTL and three minor QTLs. CONCLUSION: We report successful utilization of whole-genome resequencing for large-scale SNP identification and development of molecular markers for genetic map construction. In addition, we identified novel QTLs for black rot resistance. The high-density genetic map will promote QTL analysis for other important agricultural traits and marker-assisted breeding of B. oleracea. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-015-0424-6) contains supplementary material, which is available to authorized users. BioMed Central 2015-02-03 /pmc/articles/PMC4323122/ /pubmed/25644124 http://dx.doi.org/10.1186/s12870-015-0424-6 Text en © Lee et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Lee, Jonghoon Izzah, Nur Kholilatul Jayakodi, Murukarthick Perumal, Sampath Joh, Ho Jun Lee, Hyeon Ju Lee, Sang-Choon Park, Jee Young Yang, Ki-Woung Nou, Il-Sup Seo, Joodeok Yoo, Jaeheung Suh, Youngdeok Ahn, Kyounggu Lee, Ji Hyun Choi, Gyung Ja Yu, Yeisoo Kim, Heebal Yang, Tae-Jin Genome-wide SNP identification and QTL mapping for black rot resistance in cabbage |
title | Genome-wide SNP identification and QTL mapping for black rot resistance in cabbage |
title_full | Genome-wide SNP identification and QTL mapping for black rot resistance in cabbage |
title_fullStr | Genome-wide SNP identification and QTL mapping for black rot resistance in cabbage |
title_full_unstemmed | Genome-wide SNP identification and QTL mapping for black rot resistance in cabbage |
title_short | Genome-wide SNP identification and QTL mapping for black rot resistance in cabbage |
title_sort | genome-wide snp identification and qtl mapping for black rot resistance in cabbage |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4323122/ https://www.ncbi.nlm.nih.gov/pubmed/25644124 http://dx.doi.org/10.1186/s12870-015-0424-6 |
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