ArticleBMC plant biology2020
An RTM-GWAS procedure reveals the QTL alleles and candidate genes for three yield-related traits in upland cotton.
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 16 papers.
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16 citing papers in PubMed, 35 citations in OpenAlex.
- 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
- GhTPS11, underlying an early-maturity QTL cluster on Chr. D08, positively regulates flowering through the age pathway in cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Genetic dissection of lint percentage in an introgression population between Gossypium hirsutum and G. mustelinum.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
- Genome-Wide Genetic Architecture for Common Scab (International journal of molecular sciences · 2025Article
- Integrating RTM-GWAS and meta‑QTL data revealed genomic regions and candidate genes associated with the first fruit branch node and its height in upland cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Efficient identification of QTL for agronomic traits in foxtail millet (Setaria italica) using RTM- and MLM-GWAS.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genome-Wide Association Study of Lint Percentage inInternational journal of molecular sciences · 2023Article
- Lint percentage and boll weight QTLs in three excellent upland cotton (Gossypium hirsutum): ZR014121, CCRI60, and EZ60.BMC plant biology · 2023Article
- Genome-wide association study identifies GhSAL1 affects cold tolerance at the seedling emergence stage in upland cotton (Gossypium hirsutum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Genome-wide genetic architecture for plant maturity and drought tolerance in diploid potatoes.Frontiers in genetics · 2023Article
- Quantitative Trait Locus Mapping of Marsh Spot Disease Resistance in Cranberry Common Bean (International journal of molecular sciences · 2022Article
- Identification of yield-related genes through genome-wide association: case study of weeping forsythia, an emerging medicinal crop.Genes & genomics · 2022Article
- Inheritance, QTLs, and Candidate Genes of Lint Percentage in Upland Cotton.Frontiers in genetics · 2022Review
- Genome-Wide Association Study of Kernel Traits Using a 35K SNP Array in Bread Wheat (Frontiers in plant science · 2022Article
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9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCotton (Gossypium spp.) fiber yield is one of the key target traits, and improved fiber yield has always been thought of as an important objective in the breeding programs and production. Although some studies had been reported for the understanding of genetic bases for cotton yield-related traits, the detected quantitative trait loci (QTL) for the traits is still very limited. To uncover the whole-genome QTL controlling three yield-related traits in upland cotton (Gossypium hirsutum L.), phenotypic traits were investigated under four planting environments and 9244 single-nucleotide polymorphism linkage disequilibrium block (SNPLDB) markers were developed in an association panel consisting of 315 accessions.
resultsA total of 53, 70 and 68 significant SNPLDB loci associated with boll number (BN), boll weight (BW) and lint percentage (LP), were respectively detected through a restricted two-stage multi-locus multi-allele genome-wide association study (RTM-GWAS) procedure in multiple environments. The haplotype/allele effects of the significant SNPLDB loci were estimated and the QTL-allele matrices were organized for offering the abbreviated genetic composition of the population. Among the significant SNPLDB loci, six of them were simultaneously identified in two or more single planting environments and were thought of as the stable SNPLDB loci. Additionally, a total of 115 genes were annotated in the nearby regions of the six stable SNPLDB loci, and 16 common potential candidate genes controlling target traits of them were predicted by two RNA-seq data. One of 16 genes (GH_D06G2161) was mainly expressed in the early ovule-development stages, and the stable SNPLDB locus (LDB_19_62926589) was mapped in its promoter region.
conclusionThis study identified the QTL alleles and candidate genes that could provide important insights into the genetic basis of yield-related traits in upland cotton and might facilitate breeding cotton varieties with high yield.
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