Genetic diversity analysis and core germplasm bank construction in cold resistant germplasm of rubber trees (Hevea brasiliensis)
文献类型: 外文期刊
作者: Tian, Maoju 1 ; Li, Wenxiu 1 ; Luo, Ping 1 ; He, Junjun 1 ; Zhang, Hualin 1 ; Yan, Qing 1 ; Ye, Yanna 1 ;
作者机构: 1.Chinese Acad Trop Agr Sci, Zhanjiang Rubber Forest Econ Engn Technol Res Ctr, Zhanjiang Expt Stn, Zhanjiang, Peoples R China
2.Chinese Acad Trop Agr Sci, South Asia Trop Crop Res Inst, Zhanjiang, Peoples R China
3.Yunnan Agr Univ, Coll Trop Crops, Puer, Peoples R China
关键词: Hevea brasiliensis; SNP marking; Genetic diversity; Fingerprint; Core collection; Group structure; Principal component analysis
期刊名称:SCIENTIFIC REPORTS ( 影响因子:3.9; 五年影响因子:4.3 )
ISSN: 2045-2322
年卷期: 2024 年 14 卷 1 期
页码:
收录情况: SCI
摘要: The rubber tree, Hevea brasiliensis (Willd. ex Adr. de Juss.) Muell. Arg., is the sole plant worldwide utilized for the commercial production of natural rubber. Following years of breeding, there exists a wide array of germplasm differentiation in rubber trees. The exploration of diversity and population structure within rubber tree germplasm resources, alongside the establishment of core germplasm resources, is instrumental in elucidating the genetic background and facilitating the effective utilization and management of these resources. By employing SNP molecular marker technology, 195 rubber tree resources were amplified, their genetic diversity analyzed, and a fingerprint map was subsequently constructed. Through this process, the cold-resistant core germplasm of rubber trees was identified. The results revealed that the PIC, He, and pi values ranged from 0.0905 to 0.3750, 0.095 to 0.5000, and 0.0953 to 0.5013, respectively. Both group structure analysis and cluster analysis delineated the accessions into two groups, signifying a simple group structure. A core germplasm bank was established with a sampling ratio of 10%, comprising 21 accessions divided into two populations. Population G1 consists of 20 accessions, while population G2 comprises 1 accession. The research findings have led to the creation of a molecular database that is anticipated to contribute to the management and subsequent breeding applications of rubber tree accessions.
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