A targeted QTL analysis for fiber length using a genetic population between two introgressed backcrossed inbred lines in upland cotton (Gossypium hirsutum)

Abstract

Cotton fiber is the most important natural raw material for the textile industry, and fiber length (FL) is one of the most important traits in cotton. Quantitative trait locus (QTL) mapping based on high-density genetic maps is an efficient approach to identify genetic regions for FL. In our study, two backcrossed inbred lines (BILs) were chosen as parents to construct a high-density genetic map in F2 which was used to fine map FL QTL in F2:3 population. The genetic map had a total size of 3462.8 cM, containing 9182 single-nucleotide polymorphisms (SNPs) based on genotyping-by-sequencing. Two FL related stable QTL were identified on two chromosomes (qFL-A08–1 on A08 and qFL-D03–1 on D03), and qFL-A08–1 was confirmed by a meta-analysis. Utilizing previously obtained RNA-seq data for the two BILs and qRT-PCR analysis, two candidate genes annotated as cytochrome b5 (CB5, Gh_A08G1729) and microtubule end-binding 1C (EB1C, Gh_D03G0232) that may regulate FL during the fiber elongation stage were identified. In addition, nine recombination hotspots in this population were found. The results of this study will provide an important foundation for further studies on the molecular and genetic regulation of fiber elongation. Keywords: Gossypium, Single-nucleotide polymorphism, Fiber length, Quantitative trait locus