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SSR analysis reveals molecular variation and genetic diversity in Malus sieversii with different stress resistance levels in China

文献类型: 外文期刊

作者: Yu, Shaoshuai 1 ; Zhao, Wenxia 2 ; Yao, Yanxia 2 ; Huai, Wenxia 2 ; Cheng, Yuan 2 ; Zhou, Zhongfu 2 ; Xiao, Wenfa 2 ; Qin 1 ;

作者机构: 1.Chinese Acad Trop Agr Sci, Coconut Res Inst, Wenchang 571339, Peoples R China

2.Chinese Acad Forestry, Natl Forestry & Grassland Adm, Key Lab Forest Protect, Inst Forest Ecol Environm & Protect, Beijing 100091, Peoples R China

关键词: Chinese wild apple; Genetic variation; Microsatellite; Phylogeny; Resistant resource

期刊名称:HORTICULTURE ENVIRONMENT AND BIOTECHNOLOGY ( 影响因子:1.842; 五年影响因子:2.083 )

ISSN: 2211-3452

年卷期: 2019 年 60 卷 6 期

页码:

收录情况: SCI

摘要: Malus sieversii, a valuable crop in Xinjiang, China, is an important natural resource for researching the genetic diversity and phylogenetic evolution of the genus Malus worldwide. Samples from 152 M. sieversii individuals with different symptom grades of deadwood were collected from Gongliu and Xinyuan and analysed with 21 pairs of simple sequence repeat (SSR) primers, revealing molecular genetic characteristics and phylogeny of different groups and individuals. The samples showed high genetic diversity at the species level (N-a = 10.76, N-e = 4.37, H = 0.73, I = 1.65, H-o = 0.71, and H-e = 0.73). Variation was mainly found within groups with lower genetic differentiation (F-st = 0.092) and higher gene flow (N-m = 2.67). A total of 226 alleles were obtained, of which 25 exclusive alleles were from samples with < 40% deadwood rate, and 23 exclusive alleles were from samples with > 40% deadwood rate. Specific bands relating to individuals with deadwood rate < 10% (10 exclusive alleles) or > 60% (7 exclusive alleles) were amplified with 11 pairs of SSR primers. The number of exclusive alleles from M. sieversii plants collected in Gongliu was 52 and from those collected in Xinyuan was 24. Using unweighted pair-group method with arithmetic cluster analysis, the groups with different symptom grades from different sampling sites were shown to be clearly differentiated and formed several discrete subclades. Significantly, the six groups from Gongliu were further classified into two subclusters: Gongliu 1, including three groups with < 40% deadwood rate, and Gongliu 2, including three groups with > 40% deadwood rate.

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