论文部分内容阅读
应用ISSR分子标记技术对34种卷柏科植物(其中18种药用植物)进行遗传多样性分析。利用PopGene 32软件及NTsys2.10e软件分析卷柏科34种植物的遗传多样性及亲缘关系,并根据UPGMA法,构建亲缘关系树状图。从100个随机引物中筛选出7条多态性稳定、条带清晰的引物,共扩增出156条谱带,多态性比例为100%。分析结果表明,平均Shannon信息指数为0.537,平均Nei’s基因多样性指数为0.359,平均有效等位基因数为1.617,34种卷柏科植物种间的遗传相似性系数在0.359~0.872,显示出该植物类群具丰富的遗传多样性。聚类分析结果表明,34种卷柏科植物之间有较明显的分界,其中卷柏与垫状卷柏,剑叶卷柏与异穗卷柏,兖州卷柏和江南卷之间的亲缘关系较近,分别聚为一类。初步证明利用ISSR分子标记可有效地分析卷柏科药用植物的遗传多样性,从而为卷柏科植物的分类鉴定以及资源的合理开发利用提供理论基础和科学依据。
ISSR molecular markers were used to analyze the genetic diversity of 34 species of Selaginella from 18 species of medicinal plants. PopGene 32 software and NTsys2.10e software were used to analyze the genetic diversity and genetic relationship of 34 species of Selaginellaceae. According to UPGMA method, phylogenetic tree was constructed. Seven hundred random primers were screened out of the seven polymorphic stable, clear band primers, a total of 156 bands were amplified, the proportion of polymorphisms was 100%. The results showed that the average Shannon information index was 0.537, the average Nei’s gene diversity index was 0.359, the average effective allele number was 1.617, and the genetic similarity coefficient of the four species was between 0.359 and 0.872, indicating that the Plant groups are rich in genetic diversity. The results of cluster analysis showed that there were obvious boundaries between 34 species of Selaginella, among which the relationship between Selaginella and Selaginella, Selaginellapis and Selaginella, Closer, respectively, into a category. Preliminary evidence that ISSR molecular markers can be used to effectively analyze the genetic diversity of Selaginellaceae medicinal plants, thus providing a theoretical basis and scientific basis for the classification and identification of Selaginella and the rational exploitation and utilization of resources.