ArticleBMC plant biology2020
Genome-wide association study reveals the genetic basis of fiber quality traits in upland cotton (Gossypium hirsutum L.).
Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Multi-parent mapping reveals epistatic architecture and elite haplotypes for multi-trait improvement in cotton.Genome biology · 2026Article
- Content characteristics and genetic architecture of macronutrient signatures in cottonseed.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Development of a Liquid-Phased Probe Array for Upland Cotton and Its Application in Cultivar Identification.Genes · 2025Article
- Genetic basis and role of exotic accessions in cultivated cotton fiber quality improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- Unraveling key genes and pathways involved in Verticillium wilt resistance by integrative GWAS and transcriptomic approaches in Upland cotton.Functional & integrative genomics · 2025Article
- Identification of favorable alleles from exotic Upland cotton lines for fiber quality improvement using multiple association models.Frontiers in plant science · 2025Article
- A GWAS identified loci and candidate genes associated with fiber quality traits in a new cotton MAGIC population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genetic linkage analysis of stable QTLs in Gossypium hirsutum RIL population revealed function of GhCesA4 in fiber development.Journal of advanced research · 2024Article
- Unraveling the genetic and molecular basis of heat stress in cotton.Frontiers in genetics · 2024Review
- Quantitative trait loci and candidate genes for yield-related traits of upland cotton revealed by genome-wide association analysis under drought conditions.BMC genomics · 2023Article
- Unraveling genomic regions and candidate genes for multiple disease resistance in upland cotton using meta-QTL analysis.Heliyon · 2023Article
- Detection of epistasis interaction loci for fiber quality-related trait via 3VmrMLM in upland cotton.Frontiers in plant science · 2023Article
- Genome-wide association study of fiber yield-related traits uncovers the novel genomic regions and candidate genes in Indian upland cotton (Frontiers in plant science · 2023Article
- CarrotOmics: a genetics and comparative genomics database for carrot (Daucus carota).Database : the journal of biological databases and curation · 2022Article
- Analysis of transcriptome data and quantitative trait loci enables the identification of candidate genes responsible for fiber strength in Gossypium barbadense.G3 (Bethesda, Md.) · 2022Article
- Deep polygenic neural network for predicting and identifying yield-associated genes in Indonesian rice accessions.Scientific reports · 2022Article
- Transcriptome Time-Course Analysis in the Whole Period of Cotton Fiber Development.Frontiers in plant science · 2022Article
- Genetic Diversity, QTL Mapping, and Marker-Assisted Selection Technology in Cotton (Frontiers in plant science · 2021Review
- Genome-Wide Association Analysis Reveals Loci and Candidate Genes Involved in Fiber Quality Traits Under Multiple Field Environments in Cotton (Frontiers in plant science · 2021Article
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Authors and funding
13 authors.
Funding
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Abstract
backgroundFiber quality is an important economic trait of cotton, and its improvement is a major goal of cotton breeding. To better understand the genetic mechanisms responsible for fiber quality traits, we conducted a genome-wide association study to identify and mine fiber-quality-related quantitative trait loci (QTLs) and genes.
resultsIn total, 42 single nucleotide polymorphisms (SNPs) and 31 QTLs were identified as being significantly associated with five fiber quality traits. Twenty-five QTLs were identified in previous studies, and six novel QTLs were firstly identified in this study. In the QTL regions, 822 genes were identified and divided into four clusters based on their expression profiles. We also identified two pleiotropic SNPs. The SNP locus i52359Gb was associated with fiber elongation, strength, length and uniformity, while i11316Gh was associated with fiber strength and length. Moreover, these two SNPs were nonsynonymous and located in genes Gh_D09G2376 and Gh_D06G1908, respectively. RT-qPCR analysis revealed that these two genes were preferentially expressed at one or more stages of cotton fiber development, which was consistent with the RNA-seq data. Thus, Gh_D09G2376 and Gh_D06G1908 may be involved in fiber developmental processes.
conclusionsThe findings of this study provide insights into the genetic bases of fiber quality traits, and the identified QTLs or genes may be applicable in cotton breeding to improve fiber quality.
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