ArticleBMC genomics2016
A MAGIC population-based genome-wide association study reveals functional association of GhRBB1_A07 gene with superior fiber quality in cotton.
Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.
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Who cites it
62 citing papers in PubMed, 128 citations in OpenAlex.
- Genomic characterization of a MAGIC population containing introgressions from four tetraploid Gossypium species.The plant genome · 2026Article
- GWAS and Candidate Gene Prediction of Elemental Accumulation Traits in Rice Using a Multiparental Population.Rice (New York, N.Y.) · 2026Article
- Cotton genetic mapping for plant biotechnology: from markers to graph pan-genomes and sustainable breeding.Frontiers in plant science · 2026Review
- MAGIC populations: a next-generation framework for dissecting complex quantitative traits and accelerating molecular breeding in crops.Frontiers in plant science · 2026Review
- MAGIC population-based genetic dissection of yield-related traits under heat stress in wheat (Frontiers in plant science · 2026Article
- Development of a Liquid-Phased Probe Array for Upland Cotton and Its Application in Cultivar Identification.Genes · 2025Article
- Genetic dissection of cotton fiber quality and yield components using an interspecific introgression population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- A chickpea MAGIC population to dissect the genetics of complex traits.The plant genome · 2025Article
- Genome-wide association studies unveil candidate genes linked with fruit fiber traits in Calotropis procera.Planta · 2025Article
- Dissecting the genetic architecture of key agronomic traits in lettuce using a MAGIC population.Genome biology · 2025Article
- Allele and transcriptome mining in Gossypium hirsutum reveals variation in candidate genes at genetic loci affecting cotton fiber quality and textile flammability.BMC plant biology · 2025Article
- Genetic improvement of Egyptian cotton (Gossypium barbadense L.) for high yield and fiber quality properties under semi arid conditions.Scientific reports · 2024Article
- Whole genome resequencing and phenotyping of MAGIC population for high resolution mapping of drought tolerance in chickpea.The plant genome · 2024Article
- Unraveling the genetic and molecular basis of heat stress in cotton.Frontiers in genetics · 2024Review
- 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
- A first look at the ability to use genomic prediction for improving the ratooning ability of sugarcane.Frontiers in plant science · 2023Article
- Flame resistant cotton lines generated by synergistic epistasis in a MAGIC population.PloS one · 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
- Discovering useful genetic variation in the seed parent gene pool for sorghum improvement.Frontiers in genetics · 2023Article
- Natural variation of GhSI7 increases seed index in cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
2 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCotton supplies a great majority of natural fiber for the global textile industry. The negative correlation between yield and fiber quality has hindered breeders' ability to improve these traits simultaneously. A multi-parent advanced generation inter-cross (MAGIC) population developed through random-mating of multiple diverse parents has the ability to break this negative correlation. Genotyping-by-sequencing (GBS) is a method that can rapidly identify and genotype a large number of single nucleotide polymorphisms (SNP). Genotyping a MAGIC population using GBS technologies will enable us to identify marker-trait associations with high resolution.
resultsAn Upland cotton MAGIC population was developed through random-mating of 11 diverse cultivars for five generations. In this study, fiber quality data obtained from four environments and 6071 SNP markers generated via GBS and 223 microsatellite markers of 547 recombinant inbred lines (RILs) of the MAGIC population were used to conduct a genome wide association study (GWAS). By employing a mixed linear model, GWAS enabled us to identify markers significantly associated with fiber quantitative trait loci (QTL). We identified and validated one QTL cluster associated with four fiber quality traits [short fiber content (SFC), strength (STR), length (UHM) and uniformity (UI)] on chromosome A07. We further identified candidate genes related to fiber quality attributes in this region. Gene expression and amino acid substitution analysis suggested that a regeneration of bulb biogenesis 1 (GhRBB1_A07) gene is a candidate for superior fiber quality in Upland cotton. The DNA marker CFBid0004 designed from an 18 bp deletion in the coding sequence of GhRBB1_A07 in Acala Ultima is associated with the improved fiber quality in the MAGIC RILs and 105 additional commercial Upland cotton cultivars.
conclusionUsing GBS and a MAGIC population enabled more precise fiber QTL mapping in Upland cotton. The fiber QTL and associated markers identified in this study can be used to improve fiber quality through marker assisted selection or genomic selection in a cotton breeding program. Target manipulation of the GhRBB1_A07 gene through biotechnology or gene editing may potentially improve cotton fiber quality.
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