ArticlePlant biotechnology journal2019
QTL sequencing strategy to map genomic regions associated with resistance to ascochyta blight in chickpea.
Article in Plant biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 92 citations in OpenAlex.
- Integrated Breeding Approaches for Ascochyta Blight Resistance in Chickpea.International journal of molecular sciences · 2026Review
- Genomic dissection of Botrytis grey mould resistance in chickpea (Cicer arietinum L.) using QTL-seq approach.Plant cell reports · 2026Article
- Reverse BSA-QTLseq: A new genotype-driven bioinformatics approach for simultaneous trait mapping.Plant communications · 2026Article
- Assessing the utility of genomic selection to breed for durable Ascochyta blight resistance in chickpea.The plant genome · 2025Article
- Modern Plant Breeding Techniques in Crop Improvement and Genetic Diversity: From Molecular Markers and Gene Editing to Artificial Intelligence-A Critical Review.Plants (Basel, Switzerland) · 2024Review
- Fine mapping and identification of a Fusarium wilt resistance gene FwS1 in pea.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Application of bulk segregant RNA-Seq (BSR-Seq) and allele-specific primers to study soybean powdery mildew resistance.BMC plant biology · 2024Article
- Genetic Analysis of Partially Resistant and Susceptible Chickpea Cultivars in Response toInternational journal of molecular sciences · 2024Article
- Functional Bph14 from Rathu Heenati promotes resistance to BPH at the early seedling stage of rice (Oryza sativa L.) as revealed by QTL-seq.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Article
- QTL and PACE analyses identify candidate genes for anthracnose resistance in tomato.Frontiers in plant science · 2023Article
- Genetic mapping and molecular characterization of the delayed green geneFrontiers in plant science · 2023Article
- Mapping QTL associated with resistance toFrontiers in plant science · 2023Article
- Ascochyta rabiei: A threat to global chickpea production.Molecular plant pathology · 2022Review
- A Locus Controlling Leaf Rolling Degree in Wheat under Drought Stress Identified by Bulked Segregant Analysis.Plants (Basel, Switzerland) · 2022Article
- Evaluation of nine statistics to identify QTLs in bulk segregant analysis using next generation sequencing approaches.BMC genomics · 2022Article
- Detection of a major QTL and development of KASP markers for seed weight by combining QTL-seq, QTL-mapping and RNA-seq in peanut.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Breeding and Genomics Interventions for Developing Ascochyta Blight Resistant Grain Legumes.International journal of molecular sciences · 2022Review
- Harnessing the potential of bulk segregant analysis sequencing and its related approaches in crop breeding.Frontiers in genetics · 2022Review
- Novel Genomic Regions Linked toFrontiers in plant science · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Whole-genome sequencing-based bulked segregant analysis (BSA) for mapping quantitative trait loci (QTL) provides an efficient alternative approach to conventional QTL analysis as it significantly reduces the scale and cost of analysis with comparable power to QTL detection using full mapping population. We tested the application of next-generation sequencing (NGS)-based BSA approach for mapping QTLs for ascochyta blight resistance in chickpea using two recombinant inbred line populations CPR-01 and CPR-02. Eleven QTLs in CPR-01 and six QTLs in CPR-02 populations were mapped on chromosomes Ca1, Ca2, Ca4, Ca6 and Ca7. The QTLs identified in CPR-01 using conventional biparental mapping approach were used to compare the efficiency of NGS-based BSA in detecting QTLs for ascochyta blight resistance. The QTLs on chromosomes Ca1, Ca4, Ca6 and Ca7 overlapped with the QTLs previously detected in CPR-01 using conventional QTL mapping method. The QTLs on chromosome Ca4 were detected in both populations and overlapped with the previously reported QTLs indicating conserved region for ascochyta blight resistance across different chickpea genotypes. Six candidate genes in the QTL regions identified using NGS-based BSA on chromosomes Ca2 and Ca4 were validated for their association with ascochyta blight resistance in the CPR-02 population. This study demonstrated the efficiency of NGS-based BSA as a rapid and cost-effective method to identify QTLs associated with ascochyta blight in chickpea.
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