Genetic Diversity and Population Structure of Chinese Foxtail Millet [Setaria italica(L.) Beauv.] Landraces

Author:

Wang Chunfang12,Jia Guanqing1,Zhi Hui1,Niu Zhengang1,Chai Yang1,Li Wei3,Wang Yongfang3,Li Haiquan3,Lu Ping1,Zhao Baohua14,Diao Xianmin11

Affiliation:

1. National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China

2. Institute of Millet Crops, Hebei Academy of Agricultural and Forestry Science, Shijiazhuang 050031, China

3. Department of Biology and Chemistry, Hebei Teachers’ College for Nationality, Chengde 067000, China

4. College of Life Sciences, Hebei Normal University, Shijiazhuang 050012, China, and

Abstract

AbstractAs an ancient cereal of great importance for dryland agriculture even today, foxtail millet (Setaria italica) is fast becoming a new plant genomic model crop. A genotypic analysis of 250 foxtail millet landraces, which represent 1% of foxtail millet germplasm kept in the Chinese National Gene Bank (CNGB), was conducted with 77 SSRs covering the foxtail millet genome. A high degree of molecular diversity among the landraces was found, with an average of 20.9 alleles per locus detected. STRUCTURE, neighbor-jointing, and principal components analyses classify the accessions into three clusters (topmost hierarchy) and, ultimately, four conservative subgroups (substructuring within the topmost clusters) in total, which are in good accordance with eco-geographical distribution in China. The highest subpopulation diversity was identified in the accessions of Pop3 from the middle regions of the Yellow River, followed by accessions in Pop1 from the downstream regions of the Yellow River, suggesting that foxtail millet was domesticated in the Yellow River drainage area first and then spread to other parts of the country. Linkage disequilibrium (LD) decay of less than 20 cM of genetic distance in the foxtail millet landrace genome was observed, which suggests that it could be possible to achieve resolution down to the 20 cM level for association mapping.

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology

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