SynthesisBMC genomics2015
Genetic analysis of Verticillium wilt resistance in a backcross inbred line population and a meta-analysis of quantitative trait loci for disease resistance in cotton.
Synthesis in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Genome-wide quantitative trait loci mapping on Verticillium wilt resistance in 300 chromosome segment substitution lines from Gossypium hirsutum × Gossypium barbadense.G3 (Bethesda, Md.) · 2021Pooled it
- A meta-analysis of quantitative trait loci for abiotic and biotic stress resistance in tetraploid cotton.Molecular genetics and genomics : MGG · 2017Pooled it
- The identification of QTLs and candidate genes associated with VW resistance of Gossypium hirsutum utilizing BSA-seq and QTL mapping.BMC plant biology · 2026Article
- CSSL-based GWAS identifies SNPs and candidate genes associated with Verticillium wilt resistance in cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Marker-Assisted Hybridization and Selection for Fiber Quality Improvement in Naturally Colored Cotton (Plants (Basel, Switzerland) · 2025Article
- A panoramic view of cotton resistance toiMeta · 2025Article
- Natural SNP Variation in GbOSM1 Promotor Enhances Verticillium Wilt Resistance in Cotton.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- The RING-Type E3 Ubiquitin Ligase GenePlants (Basel, Switzerland) · 2024Article
- A genome-wide association study for resistance to Fusarium wilt (Fusarium oxysporum f. sp. vasinfectum) race 4 in diploid cotton (Gossypium arboreum) and resistance transfer to tetraploid Gossypium hirsutum.Molecular genetics and genomics : MGG · 2024Article
- Genetic Mapping and Characterization of Verticillium Wilt Resistance in a Recombinant Inbred Population of Upland Cotton.International journal of molecular sciences · 2024Article
- Unraveling genomic regions and candidate genes for multiple disease resistance in upland cotton using meta-QTL analysis.Heliyon · 2023Article
- The Conservation of Long Intergenic Non-Coding RNAs and Their Response toInternational journal of molecular sciences · 2022Article
- Dynamic Tissue-Specific Transcriptome Changes in Response toPlants (Basel, Switzerland) · 2022Article
- Development of Superior Fibre Quality Upland Cotton Cultivar Series 'Ravnaq' Using Marker-Assisted Selection.Frontiers in plant science · 2022Article
- Ergosterol-targeting fusion antifungal peptide significantly increases the Verticillium wilt resistance of cotton.Plant biotechnology journal · 2021Article
- Detection of candidate genes and development of KASP markers for Verticillium wilt resistance by combining genome-wide association study, QTL-seq and transcriptome sequencing in cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Genetic Diversity, QTL Mapping, and Marker-Assisted Selection Technology in Cotton (Frontiers in plant science · 2021Review
- Rapid Mining of Candidate Genes for Verticillium Wilt Resistance in Cotton Based on BSA-Seq Analysis.Frontiers in plant science · 2021Article
- Mapping genomic regions of moisture deficit stress tolerance using backcross inbred lines in wheat (Triticum aestivum L.).Scientific reports · 2020Article
- A genome-wide association study uncovers consistent quantitative trait loci for resistance to Verticillium wilt and Fusarium wilt race 4 in the US Upland cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundVerticillium wilt (VW) and Fusarium wilt (FW), caused by the soil-borne fungi Verticillium dahliae and Fusarium oxysporum f. sp. vasinfectum, respectively, are two most destructive diseases in cotton production worldwide. Root-knot nematodes (Meloidogyne incognita, RKN) and reniform nematodes (Rotylenchulus reniformis, RN) cause the highest yield loss in the U.S. Planting disease resistant cultivars is the most cost effective control method. Numerous studies have reported mapping of quantitative trait loci (QTLs) for disease resistance in cotton; however, very few reliable QTLs were identified for use in genomic research and breeding.
resultsThis study first performed a 4-year replicated test of a backcross inbred line (BIL) population for VW resistance, and 10 resistance QTLs were mapped based on a 2895 cM linkage map with 392 SSR markers. The 10 VW QTLs were then placed to a consensus linkage map with other 182 VW QTLs, 75 RKN QTLs, 27 FW QTLs, and 7 RN QTLs reported from 32 publications. A meta-analysis of QTLs identified 28 QTL clusters including 13, 8 and 3 QTL hotspots for resistance to VW, RKN and FW, respectively. The number of QTLs and QTL clusters on chromosomes especially in the A-subgenome was significantly correlated with the number of nucleotide-binding site (NBS) genes, and the distribution of QTLs between homeologous A- and D- subgenome chromosomes was also significantly correlated.
conclusionsTen VW resistance QTL identified in a 4-year replicated study have added useful information to the understanding of the genetic basis of VW resistance in cotton. Twenty-eight disease resistance QTL clusters and 24 hotspots identified from a total of 306 QTLs and linked SSR markers provide important information for marker-assisted selection and high resolution mapping of resistance QTLs and genes. The non-overlapping of most resistance QTL hotspots for different diseases indicates that their resistances are controlled by different genes.
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