ArticleBMC plant biology2015
Genome-wide SNP identification and QTL mapping for black rot resistance in cabbage.
Article in BMC plant biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 83 citations in OpenAlex.
- Genetic and Epigenetic Mechanisms Underpinning Biotic Stress Resilience ofPlants (Basel, Switzerland) · 2025Review
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- Rice QTL hotspots related with seed grain size, shape, weight, and color based on genome wide association study and linkage mapping.Scientific reports · 2025Article
- Genome-Wide Association Study for Drought Tolerance in Cowpea (International journal of molecular sciences · 2025Article
- Optimization of commercial SNP arrays and the generation of a high-efficiency GenoBaits Peanut 10K panel.Scientific reports · 2025Article
- Study of cabbage antioxidant system response on early infection stage of Xanthomonas campestris pv. campestris.BMC plant biology · 2024Article
- Characterisation of NewViruses · 2024Article
- Molecular Marker Development for the Rapid Differentiation of Black Rot Causing Xanthomonas campestris pv. campestris Race 7.The plant pathology journal · 2023Article
- Climate and Soil Microsite Conditions Determine Local Adaptation in Declining Silver Fir Forests.Plants (Basel, Switzerland) · 2023Article
- A GBS-based genetic linkage map and quantitative trait loci (QTL) associated with resistance toFrontiers in plant science · 2023Article
- Whole-genome resequencing of Coffea arabica L. (Rubiaceae) genotypes identify SNP and unravels distinct groups showing a strong geographical pattern.BMC plant biology · 2022Article
- Inheritance of Black Rot Resistance and Development of Molecular Marker Linked toPlants (Basel, Switzerland) · 2021Article
- Marker-Assisted Pyramiding of Downy Mildew-Resistant GeneFrontiers in plant science · 2021Article
- Advances in Multi-Omics Approaches for Molecular Breeding of Black Rot Resistance inFrontiers in plant science · 2021Review
- Article
- Understanding Host-Pathogen Interactions inPlants (Basel, Switzerland) · 2020Review
- Article
- An extended KASP-SNP resource for molecular breeding in Chinese cabbage(Brassica rapa L. ssp. pekinensis).PloS one · 2020Article
- An update on the arsenal: mining resistance genes for disease management ofHorticulture research · 2020Review
- Article
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Authors and funding
19 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBlack 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.
resultsApproximately 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.
conclusionWe 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.