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Bulletin of Botanical Research ›› 2024, Vol. 44 ›› Issue (5): 783-792.doi: 10.7525/j.issn.1673-5102.2024.05.015

• Molecular biology • Previous Articles     Next Articles

Genetic Diversity Analysis of Tulip Based on SRAP Markers

Douwen QIN1,2, Weiqiang LIU1,2, Jiting TIAN1,2, Nan TANG1,2, Xiuting JU1,2()   

  1. 1.College of Agriculture and Animal Husbandry,Qinghai University,Xining 810016
    2.Key Laboratory of Landscape Plant and Horticulture of Qinghai Province,Plateau Flower Research Center,Qinghai University,Xining 810016
  • Received:2024-02-29 Online:2024-09-20 Published:2024-09-23
  • Contact: Xiuting JU E-mail:juxiuting@163.com

Abstract:

In order to explore the genetic background of tulip germplasm resources, accurately evaluate and screen excellent germplasm for genetic improvement of tulips, the genetic background of 40 tulip varieties was analyzed by SRAP molecular markers, and their genetic diversity and relationships were clarified, respectively. The results showed that out of 43 pairs of SRAP primers, 21 pairs of polymorphic primers were available for genetic diversity analysis of tulips, and 249 clear and stable bands were amplified in the 40 tulip varieties, of which 245 were polymorphic bands with a polymorphism rate of 98.39%. The genetic similarity index of the 40 tested varieties ranged from 0.502 0 to 0.867 5, and the genetic diversity parameters including the number of alleles(Na*), number of effective alleles(Ne*), Nei’s gene diversity index(H*), Shannon’s information index(I*), and polymorphic information content were 1.981 0, 1.514 9, 0.304 2, 0.460 3, and 0.321 2, resp-ectively, indicating rich genetic diversity in the tested materials. Cluster analysis and principal coordinate analysis showed that the 40 tulip varieties were classified into two major groups, among which ‘Christmas Magical’, ‘Banja Luka’, and ‘Madame Lefeber’ were relatively distant genetic relationships from other varieties and had certain differences in their genetic backgrounds.

Key words: Tulipa gesneriana L., SRAP markers, genetic diversity, cluster analysis

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