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Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping

Liu, N., Huang, L., Chen, W., Wu, B., Pandey, M.K., Luo, H., Zhou, X., Guo, J., Chen, H., Huai, D., Chen, Y., Lei, Y., Liao, B., Ren, X., Varshney, R.K.ORCID: 0000-0002-4562-9131 and Jiang, H. (2020) Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping. BMC Genetics, 21 (1). Art. 60.

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Peanut is one of the primary sources for vegetable oil worldwide, and enhancing oil content is the main objective in several peanut breeding programs of the world. Tightly linked markers are required for faster development of high oil content peanut varieties through genomics-assisted breeding (GAB), and association mapping is one of the promising approaches for discovery of such associated markers.


An association mapping panel consisting of 292 peanut varieties extensively distributed in China was phenotyped for oil content and genotyped with 583 polymorphic SSR markers. These markers amplified 3663 alleles with an average of 6.28 alleles per locus. The structure, phylogenetic relationship, and principal component analysis (PCA) indicated two subgroups majorly differentiating based on geographic regions. Genome-wide association analysis identified 12 associated markers including one (AGGS1014_2) highly stable association controlling up to 9.94% phenotypic variance explained (PVE) across multiple environments. Interestingly, the frequency of the favorable alleles for 12 associated markers showed a geographic difference. Two associated markers (AGGS1014_2 and AHGS0798) with 6.90–9.94% PVE were verified to enhance oil content in an independent RIL population and also indicated selection during the breeding program.


This study provided insights into the genetic basis of oil content in peanut and verified highly associated two SSR markers to facilitate marker-assisted selection for developing high-oil content breeding peanut varieties.

Item Type: Journal Article
Publisher: BioMed Central
Copyright: © 2020 The Authors.
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