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ISSR Analysis on Genetic Relationship of Fujian Sanming Sarcandra Glabra of Different Geographical Provenances / 中国中医药信息杂志
Chinese Journal of Information on Traditional Chinese Medicine ; (12): 83-86, 2015.
Article in Chinese | WPRIM | ID: wpr-477039
ABSTRACT
Objective To study the genetic diversity in Fujian Sanming Sarcandra Glabra from different geographical provenances;To construct genetic relationship diagram.Methods DNA in leaves was extracted by CTAB. Analysis and evaluation of DNA molecular level of 45 samples of different geographical provenances were conducted by ISSR method. POPgen32 software was used to calculate the genetic diversity and establish gene trees. NTSYS software was used to carry out cluster analysis.Results Six ISSR primers amplified 630 bands. Genetic diversity analysis showed that the average effective number of alleles of 45 varieties was 1.620 2;the average Nei's genetic diversity index was 0.364 5;the average Shannon information index was 0.543 2. Each point had different levels of genetic diversity. Nei's genetic diversity index of the maximum value was 0.497 2, and the minimum value was 0.107 8;Maximum Shannon information index was 0.690 3, and the minimum value was 0.219 2. Cluster analysis results showed that 45 varieties and 14 loci band data were the primitive matrix. 630 genetic similarity coefficients between two different species were obtained. The maximum similarity coefficient among different groups was 1.0, and the minimum was 0.516.Conclusion Different varieties of Fujian Sanming Sarcandra Glabra exist abundant genetic variation and has the molecular basis of abundant species. Using 0.610 as the threshold value can divide Sarcandra Glabra from 45 different geographical provenances into 6 groups. The genetic distance and geographical distance was not related.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Information on Traditional Chinese Medicine Year: 2015 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Information on Traditional Chinese Medicine Year: 2015 Type: Article