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Evaluation of genetic diversity within asparagus germplasm based on morphological traits and ISSR markers

文献类型: 外文期刊

作者: Chen, Helong 1 ; Guo, Anping 2 ; Wang, Jian 3 ; Gao, Jianming 2 ; Zhang, Shiqing 2 ; Zheng, Jinlong 1 ; Huang, Xing 1 ; X 1 ;

作者机构: 1.Chinese Acad Trop Agr Sci, Plant Protect Inst, Environm, 4 Xueyuan Rd, Longhua Dist, Haikou, Hainan, Peoples R China

2.CATAS, Hainan Acad Tropical Agr Resource,Key Lab Biol, Inst Trop, Genet Resources Trop Crops,Minist Agr, Haikou, Hainan, Peoples R China

3.Hainan Univ, Inst Trop Agr, Forestry, Haikou, Hainan, Peoples R China

关键词: Asparagus; ISSR; Morphological traits; Genetic diversity; Genetic relationship

期刊名称:PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS ( 影响因子:2.391; 五年影响因子:2.836 )

ISSN: 0971-5894

年卷期: 2020 年 26 卷 2 期

页码:

收录情况: SCI

摘要: Asparagus officinalis L. is a dioecious perennial plant globally known for its fine flavor and high nutritional value. An evaluation of genetic diversity in 46 asparagus accessions was carried out based on morphological and inter-simple sequence repeat (ISSR) markers. The result show that the coefficient of variation for 20 morphological characteristics is between 12.45 and 62.22%. Factor analysis revealed that nine factors explained 83.37% of the total variance. At Euclidean distance of 135.7, 46 accessions were divided into two clusters. Genetic similarity coefficient (GSC) based on ISSR data ranged from 0.60 to 0.97, suggesting a relatively abundant genetic base. Furthermore, the 46 asparagus accessions could also be grouped into three major clusters at a GSC of 0.74. And there is no significant relation between the two marker systems using the Mantel test. Clustering based on morphological traits compared with that based on ISSR data was not consistent, however, some common groupings were observed between two dendrograms. Therefore the results elucidated asparagus germplasm genetic background and determined hybrid parents, which will facilitate optimal application of asparagus germplasm resources and provide additional data for genetic improvement.

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