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Scientia Silvae Sinicae ›› 2025, Vol. 61 ›› Issue (11): 242-254.doi: 10.11707/j.1001-7488.LYKX20240653

• Scientific notes • Previous Articles    

Analysis of Genetic Diversity in Robinia pseudoacacia Populations and Preliminary Screening of the Core Germplasm

Yan Liang1,Yinhua Wang1,*(),Liping Yan1,Yuguang Kong2,Qinghua Li1,Weiguo Zhong1,Zexin Tian1,Yuanfu Dong3,Yuanshuai Zhang3   

  1. 1. Shandong Academy of Forestry Shandong Provincical Key Laboratory of Ecological Forest and Grassland Genetics and Breeding Jinan 250014
    2. Shandong Territorial and Spatial Planning Institute Jinan 250014
    3. Feixian State-Owned Daqingshan Forest Farm Linyi 276000
  • Received:2024-11-03 Revised:2025-02-18 Online:2025-11-25 Published:2025-12-11
  • Contact: Yinhua Wang E-mail:415474942@qq.com

Abstract:

Objective: The genetic diversity and genetic structure of Robinia pseudoacacia populations were studied by fluorescent SSR molecular marker technique, and the core germplasm resources were preliminarily screened, in order to provide some theoretical references for scientific management and conservation of R. pseudoacacia germplasm resources, accurate construction of the core germplasm resource bank and effective improvement of breeding efficiency. Method: The genetic diversity and genetic structure of 323 R. pseudoacacia germplasm populations from 6 provenance regions of Appalachia in USA, Beijing, Henan, Shandong, Shanxi and Liaoning were analyzed using 17 pairs of fluorescent SSR primers. The software Gene Marker 2.2.0 and POPGENE32 were used to calculate and observed allele number (Na), effective allele number (Ne), observed heterozygosity (Ho), expected heterozygosity (He), Shannon information index (I), Nei’s gene diversity index (H) and inter-population F value. The polymorphism information content (PIC) value was obtained by PowerMaker software. The software Structure was used to analyze the population structure of R. pseudoacacia, and the Evanno2005 method in Python 3 algorithm was used to infer and divide the best genetic groups. The least distance step-up sampling method (LDSS) was used to construct the core germplasm and optimize it. The representativeness of the optimized core germplasm bank was verified by t test. Result: A total of 135 alleles were amplified from 323 R. pseudoacacia germplasm resources. Through calculation and analysis, the results showed that the average value of allele number (Na) amplified by each primer pair was 7.941, the average value of effective allele number (Ne) was 2.808, the average value of Shannon information index (I) was 1.200, the average value of observed heterozygosity (Ho) was 0.191, the average value of expected heterozygosity (He) was 0.588, the average value of Nei’s diversity index (H) was 0.589, and the average value of polymorphism information content (PIC) was 0.544, indicating that the genetic diversity of R. pseudoacacia population was high. According to the analysis of 6 geographical source populations of R. pseudoacacia, the highest genetic diversity was in Liaoning and the lowest was in Beijing. There were 6 geographical sources of 323 R. pseudoacacia germplasm resources, which could be divided into 2 subgroups, and the gene variation mainly existed among germplasm resources individuals. The LDSS was used to determine the optimal proportion of the initial core germplasm collection of 20% and the optimized core germplasm collection of 23.220%. After optimizing the core germplasm resource collection, 248 retained germplasm, 63 initial core germplasm and 12 supplementary germplasm were identified. A total of 75 core germplasm were screened, including 6 in Beijing, 8 in Henan, 17 in Appalachia of USA, 8 in Shanxi, 29 in Shandong and 7 in Liaoning. The retention rate of Na was 100.00%, and Ne, I, Ho, He and H increased by 0.423, 0.245, 0.267, 0.192 and 0.197, respectively. The t test showed that the core germplasm collection could fully represent the genetic diversity of the original germplasm resource populations. Conclusion: The genetic diversity of 323 R. pseudoacacia germplasm resources is at a high level, and there is no significant correlation between genetic structure and geographical origin. The preliminarily constructed core germplasm collection can provide a reference for further resource conservation and efficient utilization.

Key words: Robinia pseudoacacia, fluorescent SSR, genetic diversity, genetic structure, core germplasm collection

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