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Publishing Language: Chinese

Analysis of Genetic Diversity of 79 Cultivars Based on SSR Fluorescence Markers for Peach

LuWei WANG1ZhiJun SHEN2HeHuan LI1Lei PAN1Liang NIU1GuoChao CUI1WenFang ZENG1ZhiQiang WANG1( )ZhenHua LU1( )
Zhengzhou Fruit Tree Research Institute, Chinese Academy of Agricultural Sciences/National Peach and Grape Improvement Center/Key Laboratory of Fruit Tree Breeding Technology, Ministry of Agriculture and Rural Affairs, Zhengzhou 450009
Institute of Fruit Trees, Jiangsu Academy of Agricultural Sciences, Nanjing 210014
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Abstract

【Objective】

The aim of this study was to perform genotyping and genetic diversity analysis of 79 germplasms taken from National Fruit Germplasm Nanjing Peach Resource Nursery by using SSR fluorescent-labeled capillary electrophoresis technology, and to screen primers with high polymorphism, which could be used for identification of peach varieties and genetic relationship analysis and also be used for the establishment of molecular marker-assisted selection system.

【Method】

De novo sequencing was performed on the female parent Zhongyou No. 4, and SSR markers were developed in the whole genome with a physical distance of 1 Mb as the unit. 79 peach varieties in Nanjing were used as materials for PCR amplification, and the amplified products were detected by polyacrylamide gel electrophoresis and screened for markers with clear target bands and abundant polymorphisms. The 5' end of the screened markers were fluorescently modified, and the PCR products were sequenced on the ABI3730XL sequencer to realize the rescreening of the markers. Genmapper 4.0 software was used to count the sequencing results, and Data Formater 2.1 software converted the bp data obtained by statistics into the data format required by Power Marker v3.25. The selected primers were analyzed for polymorphism, and the fluorescent SSR primers with polymorphism information content (PIC) greater than 0.45 were selected as the core primers of 79 germplasm materials. Using Nei's as a parameter, the UPDM clustering method in NTSYSpc 2.1 software was used to analyze the genetic diversity among cultivars. The Structure v2.3.4 software based on Bayesian model was used to analyze the population genetic structure of 79 accessions.

【Result】

Based on 79 germplasms, the SSR markers covering the whole gene were screened by polyacrylamide gel electrophoresis, and 207 pairs of primers with good polymorphism were screened out. The 207 pairs of primers were re-screened by SSR fluorescent-labeled capillary electrophoresis technology, and 26 pairs of core primers were finally screened, of which 5 pairs of core primers could completely distinguish 79 varieties. 26 pairs of SSR core primers amplified a total of 174 polymorphic genotypes in 79 peach germplasms, and each pair of primers were amplified 4-13 genotypes, with an average of 6.69 genotypes amplified per pair of primers. The polymorphism information content PIC of each pair of primers was above 0.45. Based on the locus information amplified by 207 pairs of SSR primers in 79 accessions, the genetic relationship map and population genetic structure map of 79 accessions were constructed. 207 pairs of primers divided 79 accessions into 7 groups based on genetic distance and 2 groups based on population structure. The genetic diversity of 79 cultivars was high, and the clustering results of some cultivars were consistent with the pedigree.

【Conclusion】

The cluster analysis map and population genetic structure map of 79 materials were constructed, revealing the genetic relationship of 79 materials to a certain extent. The overall results showed that due to the complex genetic background of peach, the cultivars according to a single characteristic or determine the relationship between cultivars could not be classified. The screened 26 pairs of core primers could be used for genome-wide identification of linked traits, identification of peach germplasm resources, identification and protection of new varieties, and construction of molecular marker-assisted breeding systems.

References

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Scientia Agricultura Sinica
Pages 3002-3017

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Cite this article:
WANG L, SHEN Z, LI H, et al. Analysis of Genetic Diversity of 79 Cultivars Based on SSR Fluorescence Markers for Peach. Scientia Agricultura Sinica, 2022, 55(15): 3002-3017. https://doi.org/10.3864/j.issn.0578-1752.2022.15.011

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Received: 18 November 2021
Accepted: 14 January 2022
Published: 01 August 2022
© 2022 The Journal of Scientia Agricultura Sinica