利用 EST-SSR 标记研究五味子科不同品种的遗传多样性和种群结构

IF 3.8 2区 农林科学 Q1 PLANT SCIENCES
Guangli Shi , Binhong Zhu , Dan Sun , Zhenxing Wang , Jun Ai , Jiaqi Geng , Xiang Li , Miao Yu , Chengcheng Zhao , Xiyu Zhang
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引用次数: 0

摘要

五味子(Schisandra chinensis)是亚洲国家药效最强、交易量最大的草药之一,在中国、韩国和美国药典中被描述为补药和镇静剂。它已被纳入《国际药典》(由世界卫生组织编辑)和《欧洲药典》。由于五味子具有巨大的社会经济价值,对其种植的需求日益增长;然而,人们对五味子科植物的遗传多样性知之甚少。在本研究中,我们利用从中国不同地区收集的 122 个登录品评估了五味子科植物的遗传多样性和种群结构。通过使用 38 个表达序列标签-简单序列重复(EST-SSR)标记,我们在这些品种中共检测到 78 条多态性条带。引物的平均多态性信息含量(PIC)为 0.407(从 0.096 到 0.831),表明多态性水平适中,可支持五味子科植物遗传多样性的分析。根据 EST-SSR 扩增结果进行了聚类分析。遗传相似性系数为 0.61 的序列被分为两个聚类:聚类 I 包括 4 个五味子序列和 106 个五味子序列;聚类 II 包括 12 个五味子序列。得到的 PCoA 图与 NJ 聚类分析结果一致。最后,所有入选种都能被有效识别。根据种群结构分析,122 个样本被分为 5 个亚群。五个亚群的 Fst 和 Nm 分别为 0.044 和 5.376,表明 95.6%的遗传变异发生在亚群内部,亚群之间的遗传变异仅占 4.4%。这可能与亚群之间强烈的基因流动、采集区域的相对集中以及雌雄同株的育种方法密切相关。总之,我们的研究结果将为五味子科研究提供遗传背景数据,从而为育种改良和种质资源保护提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Genetic diversity and population structure of different Schisandraceae accessions by EST-SSR markers

Genetic diversity and population structure of different Schisandraceae accessions by EST-SSR markers

Schisandra chinensis (Schisandra) is one of the most potent and traded herbs in Asian countries that has been described as a tonic and sedative in the Chinese, Korean, and American pharmacopoeias. It was included in the International Pharmacopoeia (edited by WHO) and the European Pharmacopoeia. Due to its enormous socioeconomic worth, there is a growing demand for S. chinensis cultivation; however, relatively little was known about the genetic diversity of the Schisandraceae plants. In this study, we assessed the genetic diversity and population structure of the Schisandraceae using 122 accessions collected from different regions of China. Using 38 expressed sequence tag-simple sequence repeats (EST-SSR) markers, a total of 78 polymorphic bands were detected in these accessions. The primers had an average polymorphism information content (PIC) of 0.407 (from 0.096 to 0.831), indicating a moderate level of polymorphism that might support the analysis of genetic diversity in Schisandraceae plants. Cluster analysis was carried out based on the results of EST-SSR amplification. Accessions with a genetic similarity coefficient of 0.61 were divided into two clusters: cluster I comprising 4 Schisandra sphenanthera accessions and 106 S. chinensis accessions, and cluster II containing 12 Kadsura coccinea accessions. The PCoA plot obtained was in accordance with the results of NJ cluster analysis. Finally, all accessions could be effectively identified. Based on population structure analysis, 122 samples were divided into five subgroups. The Fst, and Nm of the five subgroups were 0.044 and 5.376, respectively, indicating that 95.6% of the genetic variation was within subgroups and just 4.4% was between subgroups. This may be closely related to the strong gene flow between subgroups, the relative concentration of the collected regions, and the breeding method of monoecious plants. Overall, our findings will facilitate the Schisandraceae research by offering genetic background data to support breeding improvement and germplasm resource conservation.

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来源期刊
Journal of Applied Research on Medicinal and Aromatic Plants
Journal of Applied Research on Medicinal and Aromatic Plants Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
CiteScore
6.40
自引率
7.70%
发文量
80
审稿时长
41 days
期刊介绍: JARMAP is a peer reviewed and multidisciplinary communication platform, covering all aspects of the raw material supply chain of medicinal and aromatic plants. JARMAP aims to improve production of tailor made commodities by addressing the various requirements of manufacturers of herbal medicines, herbal teas, seasoning herbs, food and feed supplements and cosmetics. JARMAP covers research on genetic resources, breeding, wild-collection, domestication, propagation, cultivation, phytopathology and plant protection, mechanization, conservation, processing, quality assurance, analytics and economics. JARMAP publishes reviews, original research articles and short communications related to research.
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