Abstract
Linkage disequilibrium-based association mapping is a powerful tool for dissecting the genetic basis underlying complex traits. In this study, an association mapping panel consisting of 180 elite Upland cotton cultivars was constructed, evaluated in three locations across 2 years and genotyped using 228 SSRs to detect molecular markers associated with seed oil and protein contents. A total of 86 significant (á = 0.01) marker-trait associations were detected between 58 SSR markers and two seed quality traits in six environments. Fifteen SSR markers distributed on ten chromosomes (A3, A7, A9, A10, A12, A13, D2, D5, D6 and D9) and 12 across 9 chromosomes (A3, A7, A9, A10, A12, D2, D3, D5 and D9) associated with seed oil and protein contents, respectively, could be detected in more than one environment. Among the 18 SSR markers significantly associated with seed oil and/or protein contents, nine loci were associated with both seed traits simultaneously. The results of this study provide useful information for further understanding the genetic basis of cottonseed oil and protein traits, and they should facilitate future efforts to breed cotton containing seeds with high oil or high protein contents using MAS.
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Acknowledgments
This work was financially supported in part by grants from the Major State Basic Research Development Program of China (973 Program) (2011CB109300), the National High Technology Research and Development Program of China (863 Program) (2011AA10A102) and the Priority Academic Program Development of Jiangsu Higher Education Institutions and 111 program.
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The authors declare that they have no competing interests.
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Guizhen Liu and Hongxian Mei have contributed equally to this work.
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Liu, G., Mei, H., Wang, S. et al. Association mapping of seed oil and protein contents in upland cotton. Euphytica 205, 637–645 (2015). https://doi.org/10.1007/s10681-015-1450-z
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DOI: https://doi.org/10.1007/s10681-015-1450-z