Suppr超能文献

基于SSR分子标记的[遗传多样性与指纹图谱分析]

[Genetic diversity and fingerprinting of based on SSR molecular markers].

作者信息

Wang Zixu, Zeng Zhihan, Qin Xiaotian, Li Zihang, Tong Yuhang, Liu Kelin, Li Qingwei

机构信息

National Key Laboratory for Efficient Production of Forest Resources, School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China.

Beijing Greenland Maintenance and Management Centre, Beijing 102211, China.

出版信息

Sheng Wu Gong Cheng Xue Bao. 2024 Oct 25;40(10):3530-3547. doi: 10.13345/j.cjb.240284.

Abstract

DNA fingerprinting can reveal the genetic diversity of germplasm resources and clarify the source and genetic background of . germplasm, which are the preconditions for the breeding of new varieties, the identification and protection of germplasm resources, and the comprehensive development of the . industry considering both ecological and economic benefits. We employed 11 pairs of primers with high polymorphism, clear bands, and high reproducibility to analyze the genetic diversity of 150 . germplasm accessions from Gansu and Beijing by the simple sequence repeat (SSR) molecular markers. We then employed the unweighted pair-group method with arithmetic means (UPGMA) to perform the cluster analysis based on genetic distance and analyzed the genetic structure of the 150 germplasm accessions based on a Bayesian model in Structure v2.3.3. The genetic diversity analysis revealed the mean number of alleles () of 7.636 4, the mean number of effective alleles () of 2.832 6, the mean Shannon genetic diversity index () of 1.178 1, the mean Nei's gene diversity index () of 0.582 1, the mean observed heterozygosity () of 0.489 9, the mean expected heterozygosity () of 0.584 0, the mean polymorphism information content () of 0.535 4, and the mean genetic similarity () of 0.831 5. These results suggested that the . germplasm resources we studied exhibited significant genetic differences and rich genetic diversity. The cluster analysis revealed that the tested materials can be classified into 3 groups, with the main genetic distance () of 0.422 9. The clustering results were not completely consistent with the geographic origin. The population structure analysis classified the germplasm accessions into 2 populations. We used 8 pairs of primers with high PIC to construct the fingerprints of 150 . germplasm accessions. The present study successfully constructs the DNA fingerprints and clarified the genetic relationship of the . germplasm resources in Gansu and Beijing, providing a theoretical basis for germplasm resource identification, breeding of elite varieties, application in gardening, and molecular-assisted breeding of . .

摘要

DNA指纹图谱技术可以揭示种质资源的遗传多样性,阐明种质的来源和遗传背景,这些是新品种培育、种质资源鉴定与保护以及兼顾生态和经济效益的产业综合发展的前提条件。我们使用11对具有高多态性、条带清晰且重复性高的引物,通过简单序列重复(SSR)分子标记分析了来自甘肃和北京的150份种质资源的遗传多样性。然后我们采用非加权组平均法(UPGMA)基于遗传距离进行聚类分析,并在Structure v2.3.3中基于贝叶斯模型分析了这150份种质资源的遗传结构。遗传多样性分析结果显示,等位基因平均数((A))为7.636 4,有效等位基因平均数((A_e))为2.832 6,香农遗传多样性指数((I))为1.178 1,奈氏基因多样性指数((H))为0.582 1,观察杂合度平均数((H_o))为0.489 9,期望杂合度平均数((H_e))为0.584 0,多态性信息含量平均数((PIC))为0.535 4,遗传相似性平均数((GS))为0.831 5。这些结果表明,我们研究的种质资源表现出显著的遗传差异和丰富的遗传多样性。聚类分析表明,供试材料可分为3组,主要遗传距离((GD))为0.422 9。聚类结果与地理来源并不完全一致。群体结构分析将种质资源分为2个群体。我们使用8对具有高多态性信息含量(PIC)的引物构建了150份种质资源的指纹图谱。本研究成功构建了DNA指纹图谱,阐明了甘肃和北京种质资源的遗传关系,为种质资源鉴定、优良品种选育、园艺应用以及[具体植物名称]的分子辅助育种提供了理论依据。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验