ArticleMolecular genetics and genomics : MGG2016
Detection and validation of one stable fiber strength QTL on c9 in tetraploid cotton.
Article in Molecular genetics and genomics : MGG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 29 citations in OpenAlex.
- NAC transcription factor GbNTL9 modifies the accumulation and organization of cellulose microfibrils to enhance cotton fiber strength.Journal of advanced research · 2025Article
- Marker-Assisted Hybridization and Selection for Fiber Quality Improvement in Naturally Colored Cotton (Plants (Basel, Switzerland) · 2025Article
- Identification of QTNs and Their Candidate Genes for Boll Number and Boll Weight in Upland Cotton.Genes · 2024Article
- A Simplified Microscopy Technique to Rapidly Characterize Individual Fiber Traits in Cotton.Methods and protocols · 2023Article
- Estimating the combining ability and genetic parameters for growth habit, yield, and fiber quality traits in some Egyptian cotton crosses.BMC plant biology · 2023Article
- Assembly and annotation of the Gossypium barbadense L. 'Pima-S6' genome raise questions about the chromosome structure and gene content of Gossypium barbadense genomes.BMC genomics · 2023Article
- Development of Superior Fibre Quality Upland Cotton Cultivar Series 'Ravnaq' Using Marker-Assisted Selection.Frontiers in plant science · 2022Article
- The Pivotal Role of Major Chromosomes of Sub-Genomes A and D in Fiber Quality Traits of Cotton.Frontiers in genetics · 2021Review
- Fiber Quality Improvement in Upland Cotton (Frontiers in plant science · 2019Review
- GWAS Analysis and QTL Identification of Fiber Quality Traits and Yield Components in Upland Cotton Using Enriched High-Density SNP Markers.Frontiers in plant science · 2018Article
- Mapping of a major QTL for salt tolerance of mature field-grown maize plants based on SNP markers.BMC plant biology · 2017Article
- Fine-mapping qFS07.1 controlling fiber strength in upland cotton (Gossypium hirsutum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fiber strength is an essential trait of fiber property in cotton, and it is quantitatively inherited. Identification of stable quantitative trait loci (QTL) contributing to fiber strength would provide the key basis for marker-assisted selection (MAS) in cotton breeding. In this study, four interspecific hybridization populations were established with a common G. barbadense parent Pima 90-53 and two G. hirsutum parents (CCRI 8 and Handan 208), each of which had fiber strength characteristic. Based on the phenotypic data of fiber strength from seven environments, a stable QTL, qFS-c9-1, was detected and validated on c9 in a marker interval between SSR markers NAU2395 and NAU1092. The QTL explaining 14.4-17.9 % of the phenotypic variation was firstly detected in two populations (CCRI 8 × Pima 90-53, BC1F1 and BC1F2) and its derived lines in four environments. And it accounting for 12.1-14.8 % of the phenotypic variation was further confirmed in two populations (Handan 208 × Pima 90-53, BC1F1, and F2) under one environment. In silico mapping using three sequenced cotton genomes indicated that homologous genes, anchored by NAU2395 and NAU1092, were aligned to the G. arboreum genome within a physical distance between 81.10 Mbps and 87.07 Mbps. In that interval, several genes were confirmed in literatures to associate with fiber development. Among these genes, seven genes were further selected for an expression analysis through fiber development transcriptome database, revealing unique expression patterns across different stages of fiber development between CCRI 8 and Pima 90-53. The genes underlying qFS-c9-1 were favorable to fine mapping and cloning. The current study results provided valuable evidence for mapping stable QTL of fiber strength utilizing multiple populations and environments, as well as map-based cloning the candidate gene underlying the QTL for future prospective research directions.
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