Journal article
Newly developed SNP markers related to genes for leaf morphological traits and disease resistance in Chinese cabbage (Brassica rapa L. ssp. pekinensis)
Plant genetic resources: characterization and utilization, v 12(S1), pp S62-S64
01 Jul 2014
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Based on the sequences of Brassica rapa ssp. pekinensis, we carried out a single-nucleotide polymorphism (SNP) study for genes controlling disease resistance (clubroot, turnip mosaic virus and soft rot) and leaf traits in B. rapa leafy genotypes 'VC40' and 'SR5'. In total, 7645 SNP markers were obtained based on the annotation of a B. rapa database for disease resistance. Among these 7645 SNP markers, 141 were related to 125 genes linked to leaf traits. From these 141 SNP markers, 63 were screened and High Resolution Melt (HRM) primers were designed for genomic studies. A total of 20 polymorphic SNP primers were finally obtained. Eventually, these markers will be further used for the detection of quantitative trait loci and mapping studies.
Metrics
Details
- Title
- Newly developed SNP markers related to genes for leaf morphological traits and disease resistance in Chinese cabbage (Brassica rapa L. ssp. pekinensis)
- Creators
- Yul-Kyun Ahn - Rural Development AdministrationYoung-Il Cho - Rural Development AdministrationSwati Tripathi - Rural Development AdministrationDo-Sun Kim - Rural Development AdministrationJeong-Ho Kim - RDA (United States)Hye-Eun Lee - RDA (United States)
- Publication Details
- Plant genetic resources: characterization and utilization, v 12(S1), pp S62-S64
- Publisher
- Cambridge Univ Press
- Number of pages
- 3
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000342621700016
- Scopus ID
- 2-s2.0-84904462741
- Other Identifier
- 991020547607704721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Genetics & Heredity
- Plant Sciences