Biotechnology Bulletin ›› 2025, Vol. 41 ›› Issue (6): 130-143.doi: 10.13560/j.cnki.biotech.bull.1985.2024-1285

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Genetic Diversity and Principal Component Analysis of 125 Potato Germplasm Resources

DUAN Yong-hong1(), YANG Xin1, YU Guan-qun1, XIA Jun-jun1, SONG Lu-shuai1,2, BAI Xiao-dong2(), PENG Suo-tang1,3()   

  1. 1.College of Ageonomy, Shanxi Agricultural University, Jinzhong 030600
    2.Institute of High Altitude Crop of Shanxi Agricultural University, Datong 037000
    3.Shanxi Pengbo Agricultural Science and Technology Co. , Ltd. , Datong 037000
  • Received:2025-01-01 Online:2025-06-26 Published:2025-06-30
  • Contact: BAI Xiao-dong, PENG Suo-tang E-mail:duanyonghongok@163.com;dxd5561@126.com;452069088@qq.com

Abstract:

Objective To clarify the genetic relationship between potato germplasm resources, and to provide a research basis for the creation of new germplasm. Method In this paper, 125 potato varieties (lines) were used as research materials. Morphological markers and SSR molecular markers were used to analyze the differences among germplasm resources, and principal component analysis was used to evaluate the genetic diversity. Result The coefficient of variation of the eight phenotypic traits ranged from 19.40% to 63.90%, and the diversity index ranged from 0.990 7 to 1.001 0. According to phenotypic traits, the tested materials could be divided into four categories, most of which were clustered according to phenotypic index characteristics. Twenty-seven pairs of polymorphic SSR primers were screened, and 910 alleles and 832 polymorphic sites were amplified, with a polymorphism site ratio of 90.93%. The average Nei’s genetic diversity (H) and Shannon’s index (I) were 0.228 6 and 0.362 1, respectively. According to SSR test results, the test materials were clustered into five categories. Most of the varieties were clustered according to their geographical origin, and the new strains were clustered according to their parents. PCA analysis of SSR marker clusters showed that the coordinated distribution results of each group were basically consistent with the clustering results, and the two analysis results supported each other. Conclusion There are differences in the classification of groups between phenotypic traits and SSR marker clustering results, but some potato materials show consistent in the two clustering methods, and the materials from the same geographical origin are clustered into one group. Phenotypic traits are affected by environmental conditions and human factors, and cannot reflect all genomic information, but molecular markers directly detect molecular differences in the genome. The combination of the two methods should be used in the analysis and evaluation of genetic diversity of potato germplasm resources, which may provide reference for potato germplasm innovation and genetic improvement.

Key words: potato, germplasm resources, phenotypic traits, SSR marker, genetic diversity