QTL Mapping for Fiber Quality and Yield Traits Based on Introgression Lines Derived from Gossypium hirsutum × G. tomentosum.

Ayaz Keerio,Zhongxu Lin,Yichun Nie,Xianlong Zhang,Muhammad Ahmed,Chao Shen

doi:10.3390/ijms19010243

Ayaz Keerio, Zhongxu Lin + Show 4 more

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https://doi.org/10.3390/ijms19010243

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Abstract

The tetraploid species Gossypium hirsutum is cultivated widely throughout the world with high yield and moderate fiber quality, but its genetic basis is narrow. A set of 107 introgression lines (ILs) was developed with an interspecific cross using G. hirsutum acc. 4105 as the recurrent parent and G. tomentosum as the donor parent. A specific locus amplified fragment sequencing (SLAF-seq) strategy was used to obtain high-throughput single nucleotide polymorphism (SNP) markers. In total, 3157 high-quality SNP markers were obtained and further used for identification of quantitative trait loci (QTLs) for fiber quality and yield traits evaluated in multiple environments. In total, 74 QTLs were detected that were associated with five fiber quality traits (30 QTLs) and eight yield traits (44 QTLs), with 2.02–30.15% of the phenotypic variance explained (PVE), and 69 markers were found to be associated with these thirteen traits. Eleven chromosomes in the A sub-genome (At) harbored 47 QTLs, and nine chromosomes in the D sub-genome (Dt) harbored 27 QTLs. More than half (44 QTLs = 59.45%) showed positive additive effects for fiber and yield traits. Five QTL clusters were identified, with three in the At, comprised of thirteen QTLs, and two in the Dt comprised of seven QTLs. The ILs developed in this study and the identified QTLs will facilitate further molecular breeding for improvement of Upland cotton in terms of higher yield with enhanced fiber quality.

Highlights

Cotton is one of the cash crops around the world that provides superior fiber for the textile industry
The results indicated that fiber length (FL), fiber uniformity (FU), and fiber strength (FS) exhibited highly significant associations with each other, while micronaire value (MIC) showed a significant but negative correlation with FL and it showed negative and non-significant associations with FU and fiber elongation (FE)
We used a population of 107 introgression lines (ILs) and confirmed the potential of this population for QTL identification of fiber quality and yield traits

Summary

Introduction

Cotton is one of the cash crops around the world that provides superior fiber for the textile industry. With the globally increasing demand for textile products and strong competition from synthetic fibers, the need for Upland cotton cultivars with high yield and improved fiber has never been more critical [4]. Both fiber quality and yield are complex traits that are controlled by a magnitude of QTLs [5]. There is a complicated genetic correlation among fiber and yield traits because of the different population types and parental lines [6,7,8,9] Improving both fiber quality and yield simultaneously is a long-term task for cotton breeders. Conventional breeding procedures are becoming increasingly difficult because of their long duration and low selection efficiency [10]

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