Genome-wide SNP identification and QTL mapping for black rot resistance in cabbage
Author
Lee, JonghoonIzzah, Nur K.
Jayakodi, Murukarthick
Perumal, Sampath
Joh, Ho J.
Lee, Hyeon J.
Lee, Sang-Choon
Park, Jee Y.
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
Affiliation
Department of Plant Science, Plant Genomics and Breeding Institute, and Research Institute of Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National UniversityIndonesian Researcg Institute for Industrial and Beverage Crops (IRIIBC), Pakuwon
Department of Horticulture, Sunchon National University
Joeun Seed
Research Center for Biobased Chemistry, Korea Research Institute of Chemical Technology
Arizona Genomics Institute, School of Plant Sciences, University of Arizona
Department of Agricultural Biotechnology, Seoul National University
CHO & KIM genomics, Seoul National University Mt.4-2
Issue Date
2015
Metadata
Show full item recordPublisher
BioMed Central LtdCitation
Lee et al. BMC Plant Biology (2015) 15:32 DOI 10.1186/s12870-015-0424-6Journal
BMC Plant BiologyRights
© 2015 Lee et al.; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0).Collection Information
This item is part of the UA Faculty Publications collection. For more information this item or other items in the UA Campus Repository, contact the University of Arizona Libraries at repository@u.library.arizona.edu.Abstract
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 F₂:₃ 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.EISSN
1471-2229Version
Final published versionAdditional Links
http://www.biomedcentral.com/1471-2229/15/32ae974a485f413a2113503eed53cd6c53
10.1186/s12870-015-0424-6
Scopus Count
Collections
Except where otherwise noted, this item's license is described as © 2015 Lee et al.; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0).

