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ARS Home » Southeast Area » Griffin, Georgia » Plant Genetic Resources Conservation Unit » Research » Publications at this Location » Publication #276401
Title: Utilization of SNP, SSR, and biochemical data to evaluate genetic and phenotypic diversity in the U.S. peanut germplasm collection.

Author
item Anglin, Noelle
item Pittman, Roy
item Wang, Ming

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 12/7/2011
Publication Date: 12/11/2011
Citation: Barkley, N.L., Pittman, R.N., Wang, M.L. 2011. Utilization of SNP, SSR, and biochemical data to evaluate genetic and phenotypic diversity in the U.S. peanut germplasm collection. Meeting Abstract. Peanut CRSP Strategic Research Conference, 12/11-15/2011, Malta.

Interpretive Summary:

Technical Abstract: Peanuts (Arachis hypogaea L.) are nutritious because their seeds typically contain high amounts of oil, protein, phytochemicals such as resveratrol, and antioxidants such as tocopherol and folic acid; therefore, they are an important oil seed crop worldwide. The genetic diversity and population structure of the U.S. cultivated mini-core collection was assessed by genotyping 94 accessions with 81 SSR markers and two functional SNP markers derived from the fatty acid desaturase 2 (ahFAD2) gene. The SNP markers were developed to detect wild type and mutant alleles in both ahFAD2A and ahFAD2B, which are known to affect oleic acid (C18:1) and linoleic acid (C18:2) accumulation. Further, biochemical data such as total oil content, fatty acid composition, flavonoids, resveratrol, and morphological traits were also collected from the mini core accessions. The molecular markers and phenotypic trait data were employed to assess allelic variation, phylogenetic relationships, population structure, and association analysis. Population structure analysis identified four major subpopulations that were related to four botanical varieties. Genetic variation was revealed in the mini core and molecular markers which associated with phenotypic traits were identified. The information obtained will be useful for enhancing breeding efficiency and improving seed quality in peanuts.