ArticlePlant biotechnology journal2017
Population structure and genetic basis of the agronomic traits of upland cotton in China revealed by a genome-wide association study using high-density SNPs.
Article in Plant biotechnology journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 1 of them a synthesis that pooled it.
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Who cites it
100 citing papers in PubMed, 1 synthesis or guideline pooled it, 207 citations in OpenAlex.
- A GWAS identified a major QTL for resistance to Fusarium wilt (Fusarium oxysporum f. sp. vasinfectum) race 4 in a MAGIC population of Upland cotton and a meta-analysis of QTLs for Fusarium wilt resistance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Pooled it
- Article
- Integration of GWAS and WGCNA reveals novel candidate genes for cottonseed oil content in Gossypium hirsutum L.BMC plant biology · 2026Article
- Transcriptional Regulation of SWEET15_A01 by MYB44/bHLH3 Modulates Carbon Allocation in Cotton Ovule and Fibre to Affect Seed and Fibre Traits.Plant biotechnology journal · 2026Article
- Unveiling the genetic architecture of stripe rust resistance in wheat: a region-specific GWAS in Xinjiang, China.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Detection of QTLs and QTL-environment interactions for fruit branch number in Upland cotton (Gossypium hirsutum L.) using a restricted two-stage multi-locus genome-wide association study.BMC plant biology · 2026Article
- Cotton genetic mapping for plant biotechnology: from markers to graph pan-genomes and sustainable breeding.Frontiers in plant science · 2026Review
- Development of a Liquid-Phased Probe Array for Upland Cotton and Its Application in Cultivar Identification.Genes · 2025Article
- 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
- GWAS and GS analysis revealed the selection and prediction efficiency for yield, plant morphological, and fiber quality in Gossypium barbadense.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- A plastid lipid-associated protein-encoding gene (GhPAP) that positively regulates fiber strength was identified via genetic mapping and transcriptomic analysis of a stable QTL on chromosome D06 of upland cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- QTL Mapping and Candidate Gene Analysis for Cotton Fiber Quality and Early Maturity Using FPlants (Basel, Switzerland) · 2025Article
- Salt tolerance characterization and genome-wide association study ofFrontiers in plant science · 2025Article
- Unravelling the genetic basis and regulation networks related to fibre quality improvement using chromosome segment substitution lines in cotton.Plant biotechnology journal · 2024Article
- Genetic linkage analysis of stable QTLs in Gossypium hirsutum RIL population revealed function of GhCesA4 in fiber development.Journal of advanced research · 2024Article
- Fine-mapping of a major QTL controlling plant height by BSA-seq and transcriptome sequencing in cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Quantitative Trait Locus Mapping for Plant Height and Branch Number in CCRI70 Recombinant Inbred Line Population of Upland Cotton (Gossypium hirsutum).Plants (Basel, Switzerland) · 2024Article
- Genome-wide association studies of bundle and single fiber length traits reveal the genetic basis of within-sample variation in upland cotton fiber length.Frontiers in plant science · 2024Article
- Genome-wide association analysis reveal candidate genes and haplotypes related to root weight in cucumber (Frontiers in plant science · 2024Article
- Analysis of genetic diversity and genome-wide association study for drought tolerance related traits in Iranian bread wheat.BMC plant biology · 2023Article
40 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gossypium hirsutum L. represents the largest source of textile fibre, and China is one of the largest cotton-producing and cotton-consuming countries in the world. To investigate the genetic architecture of the agronomic traits of upland cotton in China, a diverse and nationwide population containing 503 G. hirsutum accessions was collected for a genome-wide association study (GWAS) on 16 agronomic traits. The accessions were planted in four places from 2012 to 2013 for phenotyping. The CottonSNP63K array and a published high-density map based on this array were used for genotyping. The 503 G. hirsutum accessions were divided into three subpopulations based on 11 975 quantified polymorphic single-nucleotide polymorphisms (SNPs). By comparing the genetic structure and phenotypic variation among three genetic subpopulations, seven geographic distributions and four breeding periods, we found that geographic distribution and breeding period were not the determinants of genetic structure. In addition, no obvious phenotypic differentiations were found among the three subpopulations, even though they had different genetic backgrounds. A total of 324 SNPs and 160 candidate quantitative trait loci (QTL) regions were identified as significantly associated with the 16 agronomic traits. A network was established for multieffects in QTLs and interassociations among traits. Thirty-eight associated regions had pleiotropic effects controlling more than one trait. One candidate gene, Gh_D08G2376, was speculated to control the lint percentage (LP). This GWAS is the first report using high-resolution SNPs in upland cotton in China to comprehensively investigate agronomic traits, and it provides a fundamental resource for cotton genetic research and breeding.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.