Genetic diversity ofPrunus sibiricaL. superior accessions based on the SSR markers developed using restriction-site associated DNA sequencing

被引:9
|
作者
Chen, Jianhua [1 ]
Dong, Shengjun [1 ]
Zhang, Xin [2 ]
Wu, Yueliang [1 ]
Zhang, Haokai [1 ]
Sun, Yongqiang [1 ]
Zhang, Jian [1 ]
机构
[1] Shenyang Agr Univ, Coll Forestry, 120 Dongling Rd, Shenyang 110866, Liaoning, Peoples R China
[2] Northeast Forestry Univ, State Key Lab Tree Genet & Breeding, 26 Hexing Rd, Harbin 150040, Heilongjiang, Peoples R China
关键词
Clustering analysis; SSR loci; Linkage disequilibrium; Genetic polymorphism; RAD-seq; LINKAGE DISEQUILIBRIUM; POPULATION-STRUCTURE; COMPLEX TRAITS; L; SOFTWARE; DISTANCE; NUMBER;
D O I
10.1007/s10722-020-01011-5
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Prunus sibirica(Siberian apricot) has ecological, economic, and social benefits that makes it an important fruit-bearing tree in China. However, current fruit yields are low and unstable, thus restricting development ofPrunus sibiricaindustry. To provide a scientific basis for successful breeding research aimed at developing superior cultivars, 98 screened SSR markers were first used in our study, developed by restriction-site associated DNA sequencing, to assess the genetic diversity of 66Prunus sibiricaaccessions collected from four populations. The average number of alleles per locus (9.910) and the number of effective alleles (5.445) showed high polymorphism in the entire population, and the polymorphism information content (0.675) indicated that these markers were highly polymorphic. There was gene flow among thePrunus sibiricaaccessions, however the genetic differentiation coefficient showed 15.4% gene frequency differentiation among the provenances. Meanwhile, extensive linkage disequilibrium (D ' > 0.5,P < 0.01) was found, however the overall level was low (r(2) < 0.5,p < 0.01). Additionally, the 66 accessions clustered into four groups, and these groups were extremely significantly correlated with the provenances classification. The clustering results showed that geographical distribution and genetic diversity changed from high to low as the geographic separation between provenances increased. Furthermore, population structure analysis supported these findings as genetic structure and provenances were extremely significantly correlated (p < 0.01). Additionally, the relationships between the geographical and genetic distances of the provenances and of the individuals were significantly correlated, indicating that geographical isolation importantly influencedPrunus sibiricaevolution. The geographic and genetic effects underlying the superior accessions which we selected provide a reference for future molecular marker assisted breeding ofPrunus sibirica.
引用
收藏
页码:615 / 628
页数:14
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