ArticleBMC genomics2015
Combining powers of linkage and association mapping for precise dissection of QTL controlling resistance to gray leaf spot disease in maize (Zea mays L.).
Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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28 citing papers in PubMed, 56 citations in OpenAlex.
- Transcriptomics-assisted quantitative trait locus fine mapping for the identification of a gray leaf spot resistance gene ZmEGH in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Identification and Validation of Stable Loci Underlying Productivity-Related Traits in Common Wheat.International journal of molecular sciences · 2026Article
- Identification of gray leaf spot-resistant donor lines in tropical maize germplasm and their agronomic performance under artificial inoculation.Frontiers in plant science · 2025Article
- QTL mapping and genome-wide association analysis reveal genetic loci and candidate gene for resistance to gray leaf spot in tropical and subtropical maize germplasm.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Quantitative trait locus analysis of gray leaf spot resistance in the maize IBM Syn10 DH population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- ZmADF5, a Maize Actin-Depolymerizing Factor Conferring Enhanced Drought Tolerance in Maize.Plants (Basel, Switzerland) · 2024Article
- Utilizing Two Populations Derived from Tropical Maize for Genome-Wide Association Analysis of Banded Leaf and Sheath Blight Resistance.Plants (Basel, Switzerland) · 2024Article
- Genetic dissection of resistance to gray leaf spot by genome-wide association study in a multi-parent maize population.BMC plant biology · 2024Article
- Combination of linkage and association mapping with genomic prediction to infer QTL regions associated with gray leaf spot and northern corn leaf blight resistance in tropical maize.Frontiers in genetics · 2023Article
- Genome-wide association and genomic prediction for resistance to southern corn rust in DH and testcross populations.Frontiers in plant science · 2023Article
- Transcriptomic Analysis Reveals Candidate Genes Responding Maize Gray Leaf Spot Caused byPlants (Basel, Switzerland) · 2021Article
- Regions of Chromosome 2A of Bread Wheat (Plants (Basel, Switzerland) · 2021Article
- Genetic dissection of Striga hermonthica (Del.) Benth. resistance via genome-wide association and genomic prediction in tropical maize germplasm.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Combination of Linkage Mapping, GWAS, and GP to Dissect the Genetic Basis of Common Rust Resistance in Tropical Maize Germplasm.International journal of molecular sciences · 2020Article
- Genetic mapping of quantitative trait loci and a major locus for resistance to grey leaf spot in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
- Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping, and Genomic Prediction in Tropical Maize Germplasm.Frontiers in plant science · 2020Article
- Article
- On the usefulness of parental lines GWAS for predicting low heritability traits in tropical maize hybrids.PloS one · 2020Article
- Genetic Analysis of QTL for Resistance to Maize Lethal Necrosis in Multiple Mapping Populations.Genes · 2019Article
- Natural variation in ZmFBL41 confers banded leaf and sheath blight resistance in maize.Nature genetics · 2019Article
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Authors and funding
11 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGray Leaf Spot (GLS causal agents Cercospora zeae-maydis and Cercospora zeina) is one of the most important foliar diseases of maize in all areas where the crop is being cultivated. Although in the USA the situation with GLS severity is not as critical as in sub-Saharan Africa or Brazil, the evidence of climate change, increasing corn monoculture as well as the narrow genetic base of North American resistant germplasm can turn the disease into a serious threat to US corn production. The development of GLS resistant cultivars is one way to control the disease. In this study we combined the high QTL detection power of genetic linkage mapping with the high resolution power of genome-wide association study (GWAS) to precisely dissect QTL controlling GLS resistance and identify closely linked molecular markers for robust marker-assisted selection and trait introgression.
resultsUsing genetic linkage analysis with a small bi-parental mapping population, we identified four GLS resistance QTL on chromosomes 1, 6, 7, and 8, which were validated by GWAS. GWAS enabled us to dramatically increase the resolution within the confidence intervals of the above-mentioned QTL. Particularly, GWAS revealed that QTLGLSchr8, detected by genetic linkage mapping as a locus with major effect, was likely represented by two QTL with smaller effects. Conducted in parallel, GWAS of days-to-silking demonstrated the co-localization of flowering time QTL with GLS resistance QTL on chromosome 7 indicating that either QTLGLSchr7 is a flowering time QTL or it is a GLS resistance QTL that co-segregates with the latter. As a result, this genetic linkage - GWAS hybrid mapping system enabled us to identify one novel GLS resistance QTL (QTLGLSchr8a) and confirm with more refined positions four more previously mapped QTL (QTLGLSchr1, QTLGLSchr6, QTLGLSchr7, and QTLGLSchr8b). Through the novel Single Donor vs. Elite Panel method we were able to identify within QTL confidence intervals SNP markers that would be suitable for marker-assisted selection of gray leaf spot resistant genotypes containing the above-mentioned GLS resistance QTL.
conclusionThe application of a genetic linkage - GWAS hybrid mapping system enabled us to dramatically increase the resolution within the confidence interval of GLS resistance QTL by-passing labor- and time-intensive fine mapping. This method appears to have a great potential to accelerate the pace of QTL mapping projects. It is universal and can be used in the QTL mapping projects in any crops.
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