基于RAPD和ISSR标记的云芝种质资源遗传多样性分析及SCAR标记建立
Genetic diversity analysis of Trametes versicolor germplasm resources based on RAPD and ISSR markers and establishment of SCAR markers
王辰雨 1陈小红 2陈薇 1夏志兰 2吴秋云 2谢玲2
作者信息
- 1. 湖南农业大学园艺学院,湖南长沙 410128
- 2. 湖南农业大学园艺学院,湖南长沙 410128;蔬菜生物学湖南省重点实验室,湖南长沙 410128;园艺作物种质创新与新品种选育教育部工程研究中心,湖南长沙 410128
- 折叠
摘要
为了探究野生云芝(Trametes versicolor)种质资源遗传背景,基于RAPD、ISSR两种分子标记技术对18个不同种源的云芝菌株进行鉴定及遗传多样性分析,并建立稳定性更好的SCAR标记.结果表明RAPD和ISSR引物均能扩增出较多条带,多态率分别为100％和97.4％,说明RAPD和ISSR可以检测到供试菌株丰富的遗传多样性,能够对云芝菌株进行有效的区分.南方的长沙居群和宁乡居群的NPL、PPB、Na、Ne、He、I相近且偏高,北方的山东、辽宁和吉林居群偏低.从聚类结果看,整体上呈由南往北聚类的规律.获得的SCAR标记验证结果显示可能与云芝子实体边缘厚度基因相关.该研究完善了云芝遗传物质的分子标记,可为后续云芝品种选育、性状关联基因调控提供一定的研究基础.
Abstract
To investigate the genetic background of wild Trametes versicolor germplasm resources,18 strains from different ori-gins were identified and analyzed for genetic diversity based on two molecular marker technologies,RAPD and ISSR,and a more stable SCAR marker was also established.The results showed numerous bands had been amplified by the primers of RAPD and IS-SR,with polymorphism rates of 100％and 97.4％,respectively.This indicated RAPD and ISSR successfully detected the abun-dant genetic diversity of the tested strains and effectively distinguished the T.versicolor strains.The NPL,PPB,Na,Ne,He,and I values of the T.versicolor populations from Changsha(CS)and Ningxiang(NX)in the south were similar and higher,while those from Shandong,Liaoning and Jilin in the north were lower.The clustering results illustrated there might be a cluste-ring pattern from south to north.The SCAR markers obtained also might be associated with the gene related to the edge thickness of the fruiting bodies of T.versicolor.This study has improved the molecular markers of the genetic material of T.versicolor,and provided a certain research basis for subsequent breeding of new varieties and regulation of trait-related genes.
关键词
云芝/ISSR/RAPD/遗传多样性/SCARKey words
Trametes versicolor/ISSR/RAPD/Genetic diversity/SCAR引用本文复制引用
基金项目
湖南省科技厅重点研发项目(2023NK2034)
出版年
2024
国家科技期刊平台
NSTL
万方数据