ArticlePlant biotechnology journal2020
Genome-wide quantitative trait loci reveal the genetic basis of cotton fibre quality and yield-related traits in a Gossypium hirsutum recombinant inbred line population.
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Article in Plant biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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42 citing papers in PubMed.
- Assessing cotton boll-opening concentration for harvest decision-making via foundation model-enhanced cross-scale phenotyping.Plant phenomics (Washington, D.C.) · 2026Article
- Integration of HMW-GS and retrotransposon marker LTR14 for selection of wheat genotypes combining baking quality and resistance to take-all disease.BMC plant biology · 2026Article
- Combined genome and transcriptome analysis of boll weight and lint percentage traits in Gossypium barbadense.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- A pangenome reference and population studies link structural variants with breeding traits in Gossypium hirsutum.Nature genetics · 2026Article
- Excavation and effect analysis of interaction sites between upland cotton yield and fiber quality traits and environmental factors.BMC plant biology · 2026Article
- NAC transcription factor GbNTL9 modifies the accumulation and organization of cellulose microfibrils to enhance cotton fiber strength.Journal of advanced research · 2025Article
- Reveal genomic insights into cotton domestication and improvement using gene level functional haplotype-based GWAS.Nature communications · 2025Article
- Genome-Wide Identification and Classification of Arabinogalactan Proteins Gene Family inInternational journal of molecular sciences · 2025Article
- QTL Mapping and Candidate Gene Analysis for Cotton Fiber Quality and Early Maturity Using FPlants (Basel, Switzerland) · 2025Article
- Transcriptome reveals Gafmt-1 and Gadlc-1-5 play positive roles in cotton resistance to Verticillium wilt.Plant cell reports · 2025Article
- Article
- Genetic linkage analysis of stable QTLs in Gossypium hirsutum RIL population revealed function of GhCesA4 in fiber development.Journal of advanced research · 2024Article
- Genetic Regulatory Perturbation of Gene Expression Impacted by Genomic Introgression in Fiber Development of Allotetraploid Cotton.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- QTL Mapping of Fiber- and Seed-Related Traits in Chromosome Segment Substitution Lines Derived fromInternational journal of molecular sciences · 2024Article
- Aspartyl proteases identified as candidate genes of a fiber length QTL, qFLTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genome-wide artificial introgressions of Gossypium barbadense into G. hirsutum reveal superior loci for simultaneous improvement of cotton fiber quality and yield traits.Journal of advanced research · 2023Article
- QTL Verification and Candidate Gene Screening of Fiber Quality and Lint Percentage in the Secondary Segregating Population ofPlants (Basel, Switzerland) · 2023Article
- Mapping intron retention events contributing to complex traits using splice quantitative trait locus.Plant methods · 2023Article
- Lint percentage and boll weight QTLs in three excellent upland cotton (Gossypium hirsutum): ZR014121, CCRI60, and EZ60.BMC plant biology · 2023Article
- Fine mapping and candidate gene analysis of qFL-A12-5: a fiber length-related QTL introgressed from Gossypium barbadense into Gossypium hirsutum.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
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Authors and funding
44 authors.
Zhen ZhangState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.ORCID 0000-0002-1832-6733
Junwen LiState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Muhammad JamshedState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Yuzhen ShiState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Aiying LiuState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Juwu GongState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Shufang WangState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Jianhong ZhangState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Fuding SunState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Fei JiaState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Qun GeState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Liqiang FanState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Zhibin ZhangState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Jingtao PanState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Senmiao FanState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Yanling WangState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Quanwei LuResearch Base, State Key Laboratory of Cotton Biology, Anyang Institute of Technology, Anyang, China.
Ruixian LiuState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Xiaoying DengState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Xianyan ZouState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Xiao JiangState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Ping LiuState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Pengtao LiResearch Base, State Key Laboratory of Cotton Biology, Anyang Institute of Technology, Anyang, China.
Muhammad Sajid IqbalState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Chuanyun ZhangShandong Cotton Research Center, Jinan, China.
Juan ZouShandong Cotton Research Center, Jinan, China.
Hong ChenCotton Research Institute, Xinjiang Academy of Agricultural and Reclamation Science, Xinjiang, China.
Qin TianCotton Research Institute, Xinjiang Academy of Agricultural and Reclamation Science, Xinjiang, China.
Xinhe JiaZhengzhou Research Institute of Agricultural and Forestry Sciences, Zhengzhou, China.
Baoqin WangZhengzhou Research Institute of Agricultural and Forestry Sciences, Zhengzhou, China.
Nijiang AiShihezi Agricultural Science & Technology Research Center, Shihezi, China.
Guoli FengShihezi Agricultural Science & Technology Research Center, Shihezi, China.
Yumei WangInstitute of Cash Crops, Hubei Academy of Agricultural Science, Wuhan, China.
Mei HongInstitute of Agriculture, Bayingolin Mongol Autonomous Prefecture, Korla, Xinjiang, China.
Shilin LiInstitute of Agriculture, Bayingolin Mongol Autonomous Prefecture, Korla, Xinjiang, China.
Wenming LianInstitute of Agricultural Science and Technology, Agricultural Production Division 1, Xinjiang Production and Construction Corps, Alar, Xinjiang, China.
Bo WuInstitute of Agricultural Science and Technology, Agricultural Production Division 1, Xinjiang Production and Construction Corps, Alar, Xinjiang, China.
Jinping HuaCollege of Agronomy and Biotechnology, Key Laboratory of Crop Heterosis and Utilization of The Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China.
Chaojun ZhangState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Jinyong HuangZhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, China.
Aixia XuState Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, China.
Haihong ShangState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Wankui GongState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Youlu YuanState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cotton is widely cultivated globally because it provides natural fibre for the textile industry and human use. To identify quantitative trait loci (QTLs)/genes associated with fibre quality and yield, a recombinant inbred line (RIL) population was developed in upland cotton. A consensus map covering the whole genome was constructed with three types of markers (8295 markers, 5197.17 centimorgans (cM)). Six fibre yield and quality traits were evaluated in 17 environments, and 983 QTLs were identified, 198 of which were stable and mainly distributed on chromosomes 4, 6, 7, 13, 21 and 25. Thirty-seven QTL clusters were identified, in which 92.8% of paired traits with significant medium or high positive correlations had the same QTL additive effect directions, and all of the paired traits with significant medium or high negative correlations had opposite additive effect directions. In total, 1297 genes were discovered in the QTL clusters, 414 of which were expressed in two RNA-Seq data sets. Many genes were discovered, 23 of which were promising candidates. Six important QTL clusters that included both fibre quality and yield traits were identified with opposite additive effect directions, and those on chromosome 13 (qClu-chr13-2) could increase fibre quality but reduce yield; this result was validated in a natural population using three markers. These data could provide information about the genetic basis of cotton fibre quality and yield and help cotton breeders to improve fibre quality and yield simultaneously.
Indexed as
Cotton FiberQuantitative Trait LociChromosome MappingGenetic MarkersGossypiumPhenotypePlant BreedingRNA-SeqGenetic Markersconsensus genetic mapfibre qualityfibre yieldgene expression levelgenetic correlationQTL clustersupland cotton
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