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Publishing Language: Chinese

Development and application of genomic SSR markers in Rosa persica

Xueyun ZHANGXiaolong ZHANGNa LIQingyang KONGChao YUHuitang PANQixiang ZHANGLe LUO( )
Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding; b. National Engineering Research Center for Floriculture; c. Beijing Laboratory of Urban and Rural Ecological Environment; d. Engineering Research Center of Landscape Environment of Ministry of Education; e. Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of Ministry of Education; f. State Key Laboratory of Efficient Production of Forest Resources; g. School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
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Abstract

Objective

Rosa persica is the only single-leaf species of Rosa genus, which has been classified as the second class of national endangered plants. The development of efficient molecular markers can provide important data support for the analysis of the genetic diversity of R. persica populations and the study of the growth pattern of clones, as well as theoretical guidance for the conservation of genetic resources of its populations.

Method

SSR loci with 1-6 nucleotide repeats in the whole genome sequence of R. persica were searched and analyzed by Krait v1.3 software, and then primers were designed by Primer Premier3.0 software. Sixteen samples of R. persica were selected to test the validity and polymorphism of the primers by agarose gel electrophoresis and capillary electrophoresis. Finally, the data of amplification products of high polymorphism primers were analyzed by POPGENE32 software and PowerMarker3.25 software for genetic parameters, and the 16 R. persica samples were analyzed by clustering using the software NTSYS-pc 2.10.

Result

A total of 142 083 SSR loci were identified on the genome sequence of R. persica, with the largest number of dinucleotide repeat types, accounting for 46.95%. The units with the highest percentage from mononucleotide to hexanucleotide repeat types were A/T, AT/AT, AAG/CTT, AAAT/ATTT, AAAAT/ATTT and AAAAAG/CTTTTTT, which fully indicated that A/T were the dominant unit. The SSR sequence lengths of R. persica genome varied from 12 to 1 026 bp, and the different nucleotide repeat types all showed the pattern of the longer length and the lower number, and the number of SSR loci with interval lengths of 10-15 bp was the largest, accounting for 47.42%. Among the 140 pairs of primers synthesized, 112 pairs of primers could obtain clear bands, and the primer efficiency was 80%; finally, 14 pairs of primers with high polymorphism and good stability were screened out and 58 alleles were detected in 16 R. persica samples. The PIC value ranged from 0.314 3 to 0.675 9. The average allele number (Na), effective alleles (Ne), shannon diversity index (I) and polymorphic information content (PIC) were 4.142 9, 2.576 9, 1.080 8 and 0.529 2, respectively. Pearson correlation analysis showed that there was no significant correlation between the PIC values of the screened primers and the lengths of the SSRs. Cluster analysis revealed that the 14 pairs of primers screened were able to better differentiate R. persica based on different populations, with genetic similarity coefficients ranging from 0.45 to 0.86.

Conclusion

The large-scale development of SSR markers using the whole genome of R. persica is rich in number and diverse in type, and the highly polymorphic SSR loci screened will play an important role in the study of the genetic diversity of R. persica populations.

CLC number: S759.95 Document code: A Article ID: 1673-923X(2024)06-0186-11

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Journal of Central South University of Forestry & Technology
Pages 186-196

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Cite this article:
ZHANG X, ZHANG X, LI N, et al. Development and application of genomic SSR markers in Rosa persica. Journal of Central South University of Forestry & Technology, 2024, 44(6): 186-196. https://doi.org/10.14067/j.cnki.1673-923x.2024.06.019

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Received: 28 October 2023
Published: 25 June 2024
© 2024 Journal of Central South University of Forestry & Technology