[Genetic diversity and fingerprinting of based on SSR molecular markers].

Sheng Wu Gong Cheng Xue Bao

National Key Laboratory for Efficient Production of Forest Resources, School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China.

Published: October 2024

AI Article Synopsis

  • * Researchers used 11 pairs of high-polymorphism primers to analyze 150 germplasm accessions from Gansu and Beijing, revealing significant genetic variation and classifying them into three groups based on genetic distance.
  • * The analysis demonstrated that while the accessions have rich genetic diversity, their clustering does not strictly follow geographic regions, indicating a complex genetic relationship among the germplasm resources studied.

Article Abstract

DNA fingerprinting can reveal the genetic diversity of germplasm resources and clarify the source and genetic background of . germplasm, which are the preconditions for the breeding of new varieties, the identification and protection of germplasm resources, and the comprehensive development of the . industry considering both ecological and economic benefits. We employed 11 pairs of primers with high polymorphism, clear bands, and high reproducibility to analyze the genetic diversity of 150 . germplasm accessions from Gansu and Beijing by the simple sequence repeat (SSR) molecular markers. We then employed the unweighted pair-group method with arithmetic means (UPGMA) to perform the cluster analysis based on genetic distance and analyzed the genetic structure of the 150 germplasm accessions based on a Bayesian model in Structure v2.3.3. The genetic diversity analysis revealed the mean number of alleles () of 7.636 4, the mean number of effective alleles () of 2.832 6, the mean Shannon genetic diversity index () of 1.178 1, the mean Nei's gene diversity index () of 0.582 1, the mean observed heterozygosity () of 0.489 9, the mean expected heterozygosity () of 0.584 0, the mean polymorphism information content () of 0.535 4, and the mean genetic similarity () of 0.831 5. These results suggested that the . germplasm resources we studied exhibited significant genetic differences and rich genetic diversity. The cluster analysis revealed that the tested materials can be classified into 3 groups, with the main genetic distance () of 0.422 9. The clustering results were not completely consistent with the geographic origin. The population structure analysis classified the germplasm accessions into 2 populations. We used 8 pairs of primers with high PIC to construct the fingerprints of 150 . germplasm accessions. The present study successfully constructs the DNA fingerprints and clarified the genetic relationship of the . germplasm resources in Gansu and Beijing, providing a theoretical basis for germplasm resource identification, breeding of elite varieties, application in gardening, and molecular-assisted breeding of . .

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Source
http://dx.doi.org/10.13345/j.cjb.240284DOI Listing

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