ArticleBMC genomics2017
Regional association analysis-based fine mapping of three clustered QTL for verticillium wilt resistance in cotton (G. hirsutum. L).
Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 23 citations in OpenAlex.
- Multiple environmental test and genetic mapping jointly reveal genomic loci and associated genes underlying cotton Verticillium wilt resistance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Cotton genetic mapping for plant biotechnology: from markers to graph pan-genomes and sustainable breeding.Frontiers in plant science · 2026Review
- Genome-wide association study identifies quantitative trait loci associated with resistance to Verticillium dahliae race 3 in tomato.The plant genome · 2025Article
- The Past, Present, and Future of Host Plant Resistance in Cotton: An Australian Perspective.Frontiers in plant science · 2022Review
- Genome-Wide Identification of the Thaumatin-like Protein Family Genes inPlants (Basel, Switzerland) · 2021Article
- Genome-wide association analysis reveals genetic variations and candidate genes associated with salt tolerance related traits in Gossypium hirsutum.BMC genomics · 2021Article
- Rapid Mining of Candidate Genes for Verticillium Wilt Resistance in Cotton Based on BSA-Seq Analysis.Frontiers in plant science · 2021Article
- Improvement ofInternational journal of molecular sciences · 2018Article
- Genetic diversity, linkage disequilibrium, and association mapping analyses of Gossypium barbadense L. germplasm.PloS one · 2017Article
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Authors and funding
7 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundVerticillium wilt is one of the most destructive diseases affecting global cotton production. The most effective way to control wilt disease has been the development of new cotton varieties that are resistant to VW. VW-resistant Upland cotton cultivars have been created in both the USA and China by Gossypium barbadense introgression. More than 100 VW resistance quantitative trait loci have been detected.
resultsThree clustered VW resistance-related QTL were detected in a 120-line association population and assigned to a genome region of 14,653,469-55,190,112 bp in Dt_chr9. A regional association analysis-based fine-mapping strategy was developed to narrow down the confidence intervals of the above QTL. The estimated LD decay of the genome region of interest was much faster than those of the Dt_chr9 chromosome and the whole genome, suggesting the existence of a recombination hotspot. Thirty-seven haplotype blocks were detected. The confidence intervals of the three clustered QTL were narrowed down to a region of 937,906 bp involving QTL-i23734Gh and a region of 1,389,417 bp involving QTL- i10740Gh, respectively. Each region contained the strongest association signal. Comparative analysis redefined the confidence intervals of the other three QTLs, qDL52T2-c19, QTL-BNL4069, and QTL-JESPR0001. The broad-spectrum VW resistance QTL qVW-D9-1 was demonstrated to be closely linked with the three redefined QTL, QTL-i23734Gh, QTL- i10740Gh and QTL-JESPR0001. Twelve functional genes were detected to be located within the redefined confidence intervals of VW resistance QTL. The mRNA CotAD_60243, encoding E3 ubiquitin-protein ligase UPL2-like, responsible for plant innate immunity and broad-spectrum disease resistance, was found to be overlapped with the strongest association signal i10740Gh. Six mRNAs encoding putative disease-resistance proteins were within the redefined confidence interval of QTL-JESPR0001, suggesting a tandem arrangement of R genes.
conclusionsOur results proved that the VW resistance effect related to three clustered VW resistance-related QTL was actually controled by two redefined major QTL and severlal minor loci. The broad-spectrum VW resistance QTL qVW-D9-1 may be closely linked with the two redefined major QTLs. The tandem arrangement of R genes were detected in the redefined confidence interval of QTL-JESPR0001. The candidate genes obtained should be helpful in identifying and characterizing defense genes related to VW resistance QTL.
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