4.7 Article

Construction of SNP fingerprint and population genetic analysis of honeysuckle germplasm resources in China

Journal

FRONTIERS IN PLANT SCIENCE
Volume 14, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fpls.2023.1080691

Keywords

Lonicera japonica Thunb; genetic relationship; population structure; SNPs; DNA fingerprint; COVID-19; germplasm resources; SNP markers

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This study used simplified genome sequencing technology to evaluate the population structure, genetic relationships, and genetic fingerprints of 39 germplasm resources of Lonicera in China. Through the selection and validation of hundreds of thousands of single nucleotide polymorphisms, 15 high-quality DNA fingerprints were identified, which can effectively identify the 39 Lonicera varieties. These results provide a scientific basis and reference data for the analysis of genetic diversity, species identification, property rights disputes, and molecular breeding of Lonicera.
IntroductionThe flower buds of Lonicera japonica Thunb. are widely used in Chinese medicine for their anti-inflammatory properties, and they have played an important role in the fight against SARS COVID-19 and other major epidemics. However, due to the lack of scientific and accurate variety identification methods and national unified standards, scattered and non-standardized management in flower bud production has led to mixed varieties that have caused significant difficulties in the cataloging and preservation of germplasm resources and the identification, promotion, and application of new L. japonica varieties. MethodsIn this study, we evaluated the population structure, genetic relationships, and genetic fingerprints of 39 germplasm resources of Lonicera in China using simplified genome sequencing technology. ResultsA total of 13,143,268 single nucleotide polymorphisms (SNPs) were identified. Thirty-nine samples of Lonicera were divided into four subgroups, and the population structure and genetic relationships among existing Lonicera germplasm resources were determined using principal component analysis, population structure analysis, and phylogenetic tree analysis. Through several stringent selection criteria, 15 additional streamlined, high-quality DNA fingerprints were filtered out of the validated 50 SNP loci and verified as being able to effectively identify the 39 Lonicera varieties. DiscussionTo our knowledge, this is the first comprehensive study measuring the diversity and population structure of a large collection of Lonicera varieties in China. These results have greatly broadened our understanding of the diversity, phylogeny, and population structure of Lonicera. The results may enhance the future analysis of genetic diversity, species identification, property rights disputes, and molecular breeding by providing a scientific basis and reference data for these efforts.

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