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中国金银花种质资源的SNP指纹图谱构建及群体遗传分析

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

作者信息

Li Jianjun, Chang Xiaopei, Huang Qian, Liu Pengfei, Zhao Xiting, Li Fengmei, Wang Yungang, Chang Cuifang

机构信息

Green Medicine Biotechnology Henan Engineering Laboratory, Engineering Technology Research Center of Nursing and Utilization of Genuine Chinese Crude Drugs in Henan Province, College of Life Science, Henan Normal University, Xinxiang, China.

School of Life Science and Basic Medicine, Xinxiang University, Xinxiang, China.

出版信息

Front Plant Sci. 2023 Mar 2;14:1080691. doi: 10.3389/fpls.2023.1080691. eCollection 2023.

DOI:10.3389/fpls.2023.1080691
PMID:36938035
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10017979/
Abstract

INTRODUCTION

The flower buds of 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 varieties.

METHODS

In this study, we evaluated the population structure, genetic relationships, and genetic fingerprints of 39 germplasm resources of in China using simplified genome sequencing technology.

RESULTS

A total of 13,143,268 single nucleotide polymorphisms (SNPs) were identified. Thirty-nine samples of were divided into four subgroups, and the population structure and genetic relationships among existing 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 varieties.

DISCUSSION

To our knowledge, this is the first comprehensive study measuring the diversity and population structure of a large collection of varieties in China. These results have greatly broadened our understanding of the diversity, phylogeny, and population structure of . 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.

摘要

引言

[植物名称]的花蕾在中医药中因其抗炎特性而被广泛应用,并且在抗击非典、新冠疫情及其他重大疫情中发挥了重要作用。然而,由于缺乏科学准确的品种鉴定方法和国家统一标准,花蕾生产中存在分散且不规范的管理,导致品种混杂,这给种质资源的编目与保存以及新品种的鉴定、推广和应用带来了极大困难。

方法

在本研究中,我们利用简化基因组测序技术评估了中国39份[植物名称]种质资源的群体结构、遗传关系和遗传指纹。

结果

共鉴定出13143268个单核苷酸多态性(SNP)。39份[植物名称]样本被分为四个亚组,并通过主成分分析、群体结构分析和系统发育树分析确定了现有[植物名称]种质资源之间的群体结构和遗传关系。通过若干严格的筛选标准,从经验证的50个SNP位点中筛选出另外15个精简的高质量DNA指纹,并验证其能够有效鉴定这39个[植物名称]品种。

讨论

据我们所知,这是首次对中国大量[植物名称]品种的多样性和群体结构进行的全面研究。这些结果极大地拓宽了我们对[植物名称]多样性、系统发育和群体结构的认识。这些结果可能会通过为未来的遗传多样性分析、物种鉴定、产权纠纷和分子育种提供科学依据和参考数据,从而加强这些方面的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d77/10017979/fd6608069f37/fpls-14-1080691-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d77/10017979/0e965e9a2b22/fpls-14-1080691-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d77/10017979/8e17d68666af/fpls-14-1080691-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d77/10017979/43956c75fd2a/fpls-14-1080691-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d77/10017979/bc3e5b48fdb1/fpls-14-1080691-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d77/10017979/fd6608069f37/fpls-14-1080691-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d77/10017979/0e965e9a2b22/fpls-14-1080691-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d77/10017979/8e17d68666af/fpls-14-1080691-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d77/10017979/43956c75fd2a/fpls-14-1080691-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d77/10017979/bc3e5b48fdb1/fpls-14-1080691-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d77/10017979/fd6608069f37/fpls-14-1080691-g005.jpg

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