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Analysis of genetic diversity and population structure of peanut cultivars and breeding lines from China, India and the US using simple sequence repeat markers

文献类型： 外文期刊

作者： Wang, Hui 1 ; Khera, Pawan 2 ; Huang, Bingyan 6 ; Yuan, Mei 4 ; Katam, Ramesh 7 ; Zhuang, Weijian 8 ; Harris-Shultz, K 1 ;

作者机构： 1.Fujian Agr & Forestry Univ, Coll Plant Protect, Fuzhou 350002, Peoples R China

2.Univ Georgia, Dept Plant Pathol, Tifton, GA 31794 USA

3.USDA ARS, Crop Protect & Management Res Unit, Tifton, GA 31794 USA

4.Shandong Peanut Res Inst, Qingdao 266100, Peoples R China

5.Int Crops Res Inst Semi Arid Trop, Patancheru 502324, Andhra Pradesh, India

6.Henan Acad Agr Sci, Cash Crops Res Inst, Zhengzhou 450002, Peoples R China

7.Florida A&M Univ, Dept Biol Sci, Tallahassee, FL 32307 USA

8.Fujian Agr & Forestry Univ, Coll Crop Sci, Fuzhou 350002, Peoples R China

9.USDA

关键词： Arachis hypogaea;breeding;genetic diversity;population structure;simple sequence repeat

期刊名称：JOURNAL OF INTEGRATIVE PLANT BIOLOGY （ 影响因子：7.061； 五年影响因子：6.002 ）

ISSN： 1672-9072

年卷期： 2016 年 58 卷 5 期

页码：

收录情况： SCI

摘要： Cultivated peanut is grown worldwide as rich-source of oil and protein. A broad genetic base is needed for cultivar improvement. The objectives of this study were to develop highly informative simple sequence repeat (SSR) markers and to assess the genetic diversity and population structure of peanut cultivars and breeding lines from different breeding programs in China, India and the US. A total of 111 SSR markers were selected for this study, resulting in a total of 472 alleles. The mean values of gene diversity and polymorphic information content (PIC) were 0.480 and 0.429, respectively. Country-wise analysis revealed that alleles per locus in three countries were similar. The mean gene diversity in the US, China and India was 0.363, 0.489 and 0.47 with an average PIC of 0.323, 0.43 and 0.412, respectively. Genetic analysis using the STRUCTURE divided these peanut lines into two populations (P1, P2), which was consistent with the dendrogram based on genetic distance (G1, G2) and the clustering of principal component analysis. The groupings were related to peanut market types and the geographic origin with a few admixtures. The results could be used by breeding programs to assess the genetic diversity of breeding materials to broaden the genetic base and for molecular genetics studies.

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