生物技术通报 ›› 2025, Vol. 41 ›› Issue (11): 236-246.doi: 10.13560/j.cnki.biotech.bull.1985.2025-0582

• 技术与方法 • 上一篇    

重齿毛当归核心种质构建及其有效成分关联分析

蒋小刚(), 余凯迪, 郭晓亮()   

  1. 湖北省农业科学院中药材研究所 农业农村部中药材生物学与栽培重点实验室,恩施 445000
  • 收稿日期:2025-06-06 出版日期:2025-11-26 发布日期:2025-12-09
  • 通讯作者: 郭晓亮,男,硕士,副研究员,研究方向 :中药材育种与栽培;E-mail: 119626192@qq.com
  • 作者简介:蒋小刚,男,硕士,助理研究员,研究方向 :药用植物育种;E-mail: jxg154113@163.com
  • 基金资助:
    湖北省自然科学基金项目(2023AFD 078);国家现代农业产业技术体系建设专项(CARS-21)

Construction of Angelica pubescens Core Germplasm and Its Association Analysis of Active Ingredients

JIANG Xiao-gang(), YU Kai-di, GUO Xiao-liang()   

  1. Institute of Chinese Herbal Medicines, Hubei Academy of Agricultural Sciences, Key Laboratory of Biology and Cultivation of Herb Medicine, Ministry of Agricultural and Rural Affairs, Enshi 445000
  • Received:2025-06-06 Published:2025-11-26 Online:2025-12-09

摘要:

目的 分析重齿毛当归种质资源遗传多样性,构建核心种质,发掘与有效成分含量关联的分子标记,为重齿毛当归种质保护及品种选育奠定基础。 方法 对96份重齿毛当归种质表型性状与有效成分含量进行差异分析,并利用12条ISSR核心引物对供试种质进行遗传结构分析及核心种质构建,采用Talssel软件进行ISSR标记与有效成分的关联分析。 结果 重齿毛当归表型性状与有效成分含量变异较丰富,群体结构分析将供试材料划分为3个亚群,Gen Al Ex软件分析表明,重齿毛当归3个亚群的遗传多样性水平均较高,种群变异主要发生在亚群内。通过15.6%‒58.3%的抽样比例法,构建了37份代表原始群体的核心种质。关联分析的FarmCPU、GLM和MLM模型共同鉴定了CBD含量与3个标记(UBC 812、UBC 816、UBC 819)呈显著正相关(P<0.05);CBT含量与UBC 816、UBC 817呈显著正相关(P<0.05);IPT含量与UBC 819呈极显著正相关(P<0.01);OST含量与UBC 819呈显著正相关(P<0.05);UMB含量均与UBC 810、UBC 812标记呈显著正相关(P<0.05)。OHN含量仅在GLM模型中发现与UBC 816呈显著正相关(P<0.05)。 结论 供试重齿毛当归种质被划分为3个亚群,构建的37份核心种质能代表原始群体的遗传多样性水平,筛选出6个与有效成分含量关联的ISSR分子标记。

关键词: 重齿毛当归, 香豆素, 分子标记, 核心种质, 群体结构, 关联分析

Abstract:

Objective The genetic diversity of Angelica pubescens germplasm resources was analyzed, a core collection was constructed, and molecular markers associated with the contents of active ingredients were screened, so as to lay the foundation for the breeding of A. pubescens varieties. Method A differential analysis of the contents of active ingredients in 96 germplasms of A. pubescens was conducted, and 8 ISSR core primers was used to analyze the genetic structure and core collection construction. Talssel software was used to perform association analysis between ISSR markers and active ingredients. Result The variation in the phenotype and the content of active ingredients of A. pubescens is rich, and the population structure analysis can divide the materials into 3 subgroups. Gen Al Ex software analysis shows that the genetic diversity of the three subgroups of A. pubescens is relatively high, and the variation occurs mainly within the subgroups. By using a sampling ratio ranging from 15.6% to 58.3%, we constructed a core collection of 37 samples representing the original population. The association analyses of FarmCPU, GLM, and MLM models indicate that the content of CBD is significantly positively correlated with 3 markers (UBC 812, UBC 816, UBC 819) (P<0.05); CBT content is significantly correlated with UBC 816, UBC 817; IPT content is extremely significantly positively correlated with UBC 819 (P<0.01); OST content is significantly correlated with UBC 819 (P<0.05); UMB content is positively correlated with UBC 810, UBC 812 markers. OHN content is only found to be significantly correlated with UBC 816 in the GLM model. Conclusion The germplasms of A. pubescens can be divided into 3 subgroups, and the constructed core collection of 37 samples can represent the genetic diversity level of the original population, and 6 ISSR molecular markers associated with the content of active ingredients are screened.

Key words: Angelica pubescens, coumarin, molecular marker, core germplasm, population structure, association analysis