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. 2024 Dec 23;24(1):1240.
doi: 10.1186/s12870-024-05970-0.

Genetic relationship analysis and core collection construction of Eucalyptus grandis from Dongmen improved variety base: the largest eucalypt germplasm resource in China

Affiliations

Genetic relationship analysis and core collection construction of Eucalyptus grandis from Dongmen improved variety base: the largest eucalypt germplasm resource in China

Chenhe Li et al. BMC Plant Biol. .

Abstract

Background: Eucalyptus grandis, which was first comprehensively and systematically introduced to China in the 1980s, is one of the most important fast-growing tree species in the forestry industry. However, to date, no core collection has been selected from the germplasm resources of E. grandis based on growth and genetic relationship analysis.

Results: In the present study, 545 individuals of E. grandis collected from 28 populations across 5 countries were selected for genetic diversity analysis using 16 selected SSR markers. The polymorphism information content (PIC) was employed to assess genetic diversity, yielding a mean value of 0.707. Genetic structure analysis was conducted on 492 individuals from 13 combined populations, revealing three clusters as the most suitable number. Principal coordinate analysis (PCoA) demonstrated that the populations were divided into three major clusters. Additionally, the analysis of molecular variance (AMOVA) indicated that the majority of variation occurred within populations.

Conclusions: Based on the criteria for screening the core collection, we constructed a population consisting of 158 individuals and created unique fingerprinting codes. These results provide a crucial theoretical foundation for the protection and utilization of germplasm resources of E. grandis in China, which will be helpful in the selection of genetically distant parents for future multigenerational hybridization programs.

Keywords: Eucalyptus grandis; Genetic diversity; Guangxi; Molecular fingerprint; Population structure; SSR markers.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: The plant material of Eucalyptus grandis used in this research was collected from Guangxi Dongmen Forest Farm at Dongmen Town and its surrounding areas in Chongzuo City, China (22°20′20″N, 107°50′52″E), which was done with the permission of the local management department. Eucalyptus grandis has been widely cultivated over the past few decades, which is neither from the wild nor at risk of extinction. All samples collected are stored in the National Engineering Research Center of Tree Breeding and Ecological Restoration, Beijing Forestry University (Beijing, China). The experiments were performed in accordance with all relevant Chinese laws. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The suitable number of clusters and genetic structure analysis of 13 Eucalyptus grandis populations. A Values of the mean Ln P(D). B The suitable number according to the maximum K. C Genetic structure analysis of 13 populations from K = 2 to K = 4. The same color indicates the same cluster. Each population is separated by black vertical line
Fig. 2
Fig. 2
Venn diagram of core collections analyzed by three screening methods (Core Hunter, Power Core and Core Finder)
Fig. 3
Fig. 3
Genetic structure of 158 selected populations based on the neighbor-joining (NJ) tree. A total of 158 individuals were separated into three major clusters. The numbers of individuals in cluster α, cluster β and cluster γ are 59 (orange), 92 (pale blue) and 7 (pink), respectively
Fig. 4
Fig. 4
Examples of DNA Fingerprint QR codes for 158 individuals of Eucalyptus grandis. A, B and C are three examples that can be scanned to read information, which contains the ID, species, cultivation region and fingerprinting code
Fig. 5
Fig. 5
Information of twenty-eight populations analyzed. The number of accessions analyzed is shown in parentheses. All the information of Population ID is presented in Table S4

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