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

文献类型: 外文期刊

作者: Wang, Chunfang 1 ; Jia, Guanqing 1 ; Zhi, Hui 1 ; Niu, Zhengang 1 ; Chai, Yang 1 ; Li, Wei 1 ; Wang, Yongfang 1 ; Li, Hai 1 ;

作者机构: 1.Chinese Acad Agr Sci, Inst Crop Sci, Natl Key Facil Crop Gene Resources & Genet Improv, Beijing 100081, Peoples R China

2.Hebei Acad Agr & Forestry Sci, Inst Millet Crops, Shijiazhuang 050031, Peoples R China

3.Hebei Normal Univ, Coll Life Sci, Shijiazhuang 050012, Peoples R China

4.Hebei Teachers Co

关键词: foxtail millet;landrace;population structure;linkage disequilibrium

期刊名称:G3-GENES GENOMES GENETICS ( 影响因子:3.154; 五年影响因子:3.369 )

ISSN: 2160-1836

年卷期: 2012 年 2 卷 7 期

页码:

收录情况: SCI

摘要: As 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.

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