| Title |
Association mapping analysis of fiber yield and quality traits in Upland cotton (Gossypium hirsutum L.)
|
|---|---|
| Published in |
Molecular Genetics and Genomics, July 2017
|
| DOI | 10.1007/s00438-017-1346-9 |
| Pubmed ID | |
| Authors |
Mulugeta Seyoum Ademe, Shoupu He, Zhaoe Pan, Junling Sun, Qinglian Wang, Hongde Qin, Jinhai Liu, Hui Liu, Jun Yang, Dongyong Xu, Jinlong Yang, Zhiying Ma, Jinbiao Zhang, Zhikun Li, Zhongmin Cai, Xuelin Zhang, Xin Zhang, Aifen Huang, Xianda Yi, Guanyin Zhou, Lin Li, Haiyong Zhu, Baoyin Pang, Liru Wang, Yinhua Jia, Xiongming Du |
| 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. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 14% |
| Student > Master | 2 | 9% |
| Student > Doctoral Student | 1 | 5% |
| Professor | 1 | 5% |
| Researcher | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 12 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 23% |
| Biochemistry, Genetics and Molecular Biology | 4 | 18% |
| Medicine and Dentistry | 1 | 5% |
| Unknown | 12 | 55% |
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