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.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-016-3249-2) contains supplementary material, which is available to authorized users.
Highlights
Cotton supplies a great majority of natural fiber for the global textile industry
By employing an appropriate statistical model, genome wide association study (GWAS) identified markers significantly associated with fiber quantitative trait loci (QTL)
We further confirmed one major QTL cluster associated with four fiber quality traits (SFC, STR, UHM and UI) on chromosome A07
Summary
The negative correlation between yield and fiber quality has hindered breeders’ ability to improve these traits simultaneously. Genotyping a MAGIC population using GBS technologies will enable us to identify marker-trait associations with high resolution. The industries associated with cotton fiber production and processing have a significant impact on the world economy [1, 2]. There are more than 50 species in the Gossypium genus, only four (G. barbadense L., G. hirsutum L., G. arboreum L. and G. herbaceum L.) are domesticated for cultivation [3] Among these four cultivated species, Upland cotton (G. hirsutum) constitutes about 95 % of the world cotton production [2, 4]. Cotton breeders need to break this negative association in order to successfully breed improved cultivars
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