ArticleBMC genomics2014
Quantitative trait loci analysis of fiber quality traits using a random-mated recombinant inbred population in Upland cotton (Gossypium hirsutum L.).
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed, 110 citations in OpenAlex.
- Genomic characterization of a MAGIC population containing introgressions from four tetraploid Gossypium species.The plant genome · 2026Article
- An alpha/beta-hydrolase-like gene (GhABH) is identified to be responsible for fiber quality from a multi-effect quantitative trait locus (QTL) on chromosome A06 of upland cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genetic basis and role of exotic accessions in cultivated cotton fiber quality improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- Intensifying heat stress impacts cotton flowering and boll development efficiency.BMC plant biology · 2025Article
- Molecular dissection of quantitative variation in fiber elongation betweenFrontiers in plant science · 2025Article
- Regulation of a single inositol 1-phosphate synthase homeologue by HSFA6B contributes to fibre yield maintenance under drought conditions in upland cotton.Plant biotechnology journal · 2024Article
- Unraveling the genetic and molecular basis of heat stress in cotton.Frontiers in genetics · 2024Review
- Flame resistant cotton lines generated by synergistic epistasis in a MAGIC population.PloS one · 2023Article
- Genetic analysis of yield traits in Egyptian cotton crosses (Gossypium barbdense L.) under normal conditions.BMC plant biology · 2022Article
- Insights into the Genomic Regions and Candidate Genes of Senescence-Related Traits in Upland Cotton via GWAS.International journal of molecular sciences · 2022Article
- Genomic interrogation of a MAGIC population highlights genetic factors controlling fiber quality traits in cotton.Communications biology · 2022Article
- Genome-Wide Identification and Expression Analysis Elucidates the Potential Role of PFK Gene Family in Drought Stress Tolerance and Sugar Metabolism in Cotton.Frontiers in genetics · 2022Article
- Development of Superior Fibre Quality Upland Cotton Cultivar Series 'Ravnaq' Using Marker-Assisted Selection.Frontiers in plant science · 2022Article
- QTL and candidate gene identification of the node of the first fruiting branch (NFFB) by QTL-seq in upland cotton (Gossypium hirsutum L.).BMC genomics · 2021Article
- Recent advancements in molecular marker-assisted selection and applications in plant breeding programmes.Journal, genetic engineering & biotechnology · 2021Review
- Genetic Diversity, QTL Mapping, and Marker-Assisted Selection Technology in Cotton (Frontiers in plant science · 2021Review
- Quantitative Trait Loci and Transcriptome Analysis Reveal Genetic Basis of Fiber Quality Traits in CCRI70 RIL Population ofFrontiers in plant science · 2021Article
- Elucidation of sequence polymorphism in fuzzless-seed cotton lines.Molecular genetics and genomics : MGG · 2021Article
- Genome-wide association study reveals the genetic basis of fiber quality traits in upland cotton (Gossypium hirsutum L.).BMC plant biology · 2020Article
- Examining two sets of introgression lines across multiple environments reveals background-independent and stably expressed quantitative trait loci of fiber quality in cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
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6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUpland cotton (Gossypium hirsutum L.) accounts for about 95% of world cotton production. Improving Upland cotton cultivars has been the focus of world-wide cotton breeding programs. Negative correlation between yield and fiber quality is an obstacle for cotton improvement. Random-mating provides a potential methodology to break this correlation. The suite of fiber quality traits that affect the yarn quality includes the length, strength, maturity, fineness, elongation, uniformity and color. Identification of stable fiber quantitative trait loci (QTL) in Upland cotton is essential in order to improve cotton cultivars with superior quality using marker-assisted selection (MAS) strategy.
resultsUsing 11 diverse Upland cotton cultivars as parents, a random-mated recombinant inbred (RI) population consisting of 550 RI lines was developed after 6 cycles of random-mating and 6 generations of self-pollination. The 550 RILs were planted in triplicates for two years in Mississippi State, MS, USA to obtain fiber quality data. After screening 15538 simple sequence repeat (SSR) markers, 2132 were polymorphic among the 11 parents. One thousand five hundred eighty-two markers covering 83% of cotton genome were used to genotype 275 RILs (Set 1). The marker-trait associations were analyzed using the software program TASSEL. At p < 0.01, 131 fiber QTLs and 37 QTL clusters were identified. These QTLs were responsible for the combined phenotypic variance ranging from 62.3% for short fiber content to 82.8% for elongation. The other 275 RILs (Set 2) were analyzed using a subset of 270 SSR markers, and the QTLs were confirmed. Two major QTL clusters were observed on chromosomes 7 and 16. Comparison of these 131 QTLs with the previously published QTLs indicated that 77 were identified before, and 54 appeared novel.
conclusionsThe 11 parents used in this study represent a diverse genetic pool of the US cultivated cotton, and 10 of them were elite commercial cultivars. The fiber QTLs, especially QTL clusters reported herein can be readily implemented in a cotton breeding program to improve fiber quality via MAS strategy. The consensus QTL regions warrant further investigation to better understand the genetics and molecular mechanisms underlying fiber development.
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