Literature DB >> 28748394

Association mapping analysis of fiber yield and quality traits in Upland cotton (Gossypium hirsutum L.).

Mulugeta Seyoum Ademe1, Shoupu He1, Zhaoe Pan1, Junling Sun1, Qinglian Wang2, Hongde Qin3, Jinhai Liu4, Hui Liu5, Jun Yang6, Dongyong Xu7, Jinlong Yang4, Zhiying Ma8, Jinbiao Zhang9, Zhikun Li8, Zhongmin Cai4, Xuelin Zhang10, Xin Zhang2, Aifen Huang11, Xianda Yi3, Guanyin Zhou4, Lin Li9, Haiyong Zhu1, Baoyin Pang1, Liru Wang1, Yinhua Jia12, Xiongming Du13.   

Abstract

Fiber yield and quality are the most important traits for Upland cotton (Gossypium hirsutum L.). Identifying high yield and good fiber quality genes are the prime concern of researchers in cotton breeding. Association mapping offers an alternative and powerful method for detecting those complex agronomic traits. In this study, 198 simple sequence repeats (SSRs) were used to screen markers associated with fiber yield and quality traits with 302 elite Upland cotton accessions that were evaluated in 12 locations representing the Yellow River and Yangtze River cotton growing regions of China. Three subpopulations were found after the estimation of population structure. The pair-wise kinship values varied from 0 to 0.867. Only 1.59% of the total marker locus pairs showed significant linkage disequilibrium (LD, p < 0.001). The genome-wide LD decayed within the genetic distance of ~30 to 32 cM at r 2 = 0.1, and decreased to ~1 to 2 cM at r 2 = 0.2, indicating the potential for association mapping. Analysis based on a mixed linear model detected 57 significant (p < 0.01) marker-trait associations, including seven associations for fiber length, ten for fiber micronaire, nine for fiber strength, eight for fiber elongation, five for fiber uniformity index, five for fiber uniformity ratio, six for boll weight and seven for lint percent, for a total of 35 SSR markers, of which 11 markers were associated with more than one trait. Among marker-trait associations, 24 associations coincided with the previously reported quantitative trait loci (QTLs), the remainder were newly identified QTLs/genes. The QTLs identified in this study will potentially facilitate improvement of fiber yield and quality in the future cotton molecular breeding programs.

Entities:  

Keywords:  Association mapping; Fiber quality; Linkage disequilibrium; QTLs; SSRs; Upland cotton

Mesh:

Year:  2017        PMID: 28748394     DOI: 10.1007/s00438-017-1346-9

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  46 in total

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