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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
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.
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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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