| Issue |
E3S Web Conf.
Volume 145, 2020
2019 International Academic Exchange Conference on Science and Technology Innovation (IAECST 2019)
|
|
|---|---|---|
| Article Number | 01026 | |
| Number of page(s) | 5 | |
| Section | International Conference on Biotechnology and Food Science | |
| DOI | https://doi.org/10.1051/e3sconf/202014501026 | |
| Published online | 06 February 2020 | |
ISSR Analysis on Genetic Diversity of Endangered Plant Parrotia subaequalis in Dalonggou of Yixing, Jiangsu
1 Nanjing Forest Police College, Nanjing, 210023
2 Key Laboratory of State Forest and Grassland Administration on Wildlife Evidence Technology, Nanjing, 210023
* Corresponding author’s e-mail: yunaini@163.com
In this study, 25 flower samples of Parrotia subaequalis individuals were collected in Dalonggou of Yixing, Jiangsu. ISSR markers were used to analyze the genetic diversity of the 25 individuals. Six primers were selected and used for PCR amplification. The result showed that 59 discernible DNA fragments were amplified, among them 47 are polymorphic loci and the percentage of polymorphic loci (PPB) is 79.7%. By analysis with POPGENE32, the effective number of alleles (Ne) is 1.4697, Nei's gene diversity (H) is 0.2792, Shannon's Information index (I) is 0.4195, the Ewens-Watterson Neutral value is between 0.02 to 1, and more than half of the neutral test values are above 0.5. Through cluster analysis with NTSYSpc-2.1, genetic similarity coefficients of 25 samples are between 0.25 and 1 with an average of 0.71. From the results of this study we can get a conclusion that the genetic differences among the wild populations of P. subaequalis in Dalonggou of Yixing, Jiangsu were large and rich in diversity. The aim of this study is to reveal the genetic diversity of wild population of P. subaequalis from molecular level and provide a theoretical basis for the protection of this rare and endangered plant.
© The Authors, published by EDP Sciences 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.