Genetic diversity, population structure and association analysis in linseed (Linum usitatissimum L.)

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• 作者：Chandrawati ; Neha Singh ; Rajendra Kumar…
• 关键词：Linseed ; Microsatellite ; Population structure ; Association analysis ; AMOVA
• 刊名：Physiology and Molecular Biology of Plants
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：23
• 期：1
• 页码：207-219
• 全文大小：
• 刊物主题：Plant Sciences; Plant Physiology; Biological and Medical Physics, Biophysics; Cell Biology;
• 出版者：Springer India
• ISSN：0974-0430
• 卷排序：23

文摘

The present investigation aimed to explore the level of genetic diversity, determine the population structure in a larger set of germplasm of linseed using microsatellite marker and identify linked markers through association mapping. A total of 168 accessions of linseed were evaluated for major agro-economic traits and SSRs markers deployed for diversity assessment. A total of 337 alleles were amplified by 50 SSRs ranging from 2 to 13 with an average of 6.74 ± 2.8 alleles per loci. The neighbor joining based clustering grouped all the accessions into three major clusters that were also confirmed by scatter plot of PCoA. While model based clustering determined four sub-populations (K = 4). Further, analysis of molecular variance analysis considering three population showed that maximum variation (79%) was within the population. We identified one putative SSR marker (Lu_3043) linked with days to 50% flowering through both GLM and MLM analysis of association mapping. The results of this preliminary study revealed genetic diversity, population structure in linseed and linked marker which could be utilized in future breeding program.