Assessment of the genetic diversity and population structure of Sophora tonkinensis in South China by AFLP markers
Sophora tonkinensis is an important source of herbal medicine for treatment of swelling and pain in the throat. Its chemical composition has been extensively studied; however, there are still gaps in the research on genetic diversity of S. tonkinensis which can provide insights for better utilizatio...
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2020-01-01
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Online Access: | http://dx.doi.org/10.1080/13102818.2020.1812430 |
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doaj-d2b1c8bc70d545faa3e1ac907e1b61e02020-12-07T14:56:59ZengTaylor & Francis GroupBiotechnology & Biotechnological Equipment1310-28181314-35302020-01-0134197598510.1080/13102818.2020.18124301812430Assessment of the genetic diversity and population structure of Sophora tonkinensis in South China by AFLP markersZhu Qiao0Dong Xiao1Chanthaphoone Keovongkod2Kun-Hua Wei3Long-Fei He4Key Laboratory of Plant Development and Environmental Adaption Biology, Ministry of Education, School of Life Science, Shandong UniversityNational Demonstration Center for Experimental Plant Science Education, College of Agriculture, Guangxi UniversityNational Demonstration Center for Experimental Plant Science Education, College of Agriculture, Guangxi UniversityDepartment of Conservation Center of Medicinal Plants, Guangxi Key Laboratory of Medicinal Resources Conservation and Genetic Improvement, Guangxi Botanical Garden of Medicinal PlantsNational Demonstration Center for Experimental Plant Science Education, College of Agriculture, Guangxi UniversitySophora tonkinensis is an important source of herbal medicine for treatment of swelling and pain in the throat. Its chemical composition has been extensively studied; however, there are still gaps in the research on genetic diversity of S. tonkinensis which can provide insights for better utilization and conservation of genetic resources. In this study, 23 populations of diverse locations from southern China were evaluated using AFLP markers. The average number of alleles (Na and Ne) from all populations was 0.608 (Na) and 1.153 (Ne), average Shannon’s information index was 0.137, which indicated that the genetic diversity of the whole populations was low. Unweighted pair-group method with arithmetic mean (UPGMA) clustering and principal coordinates analysis (PCoA) showed that the populations could be divided into three clades. The analysis of molecular variance (AMOVA) indicated that 20% of the molecular variance was due to differences among wild populations and 80% of the molecular variance was due to divergence within wild populations. There was a significant positive correlation between genetic distance and geographical distance, as well as ecological factors including altitude and temperature. It is necessary to closely monitor the status of the wild populations and consider expanding their genetic diversity. Establishment of the conservation basis in different areas is more conducive to the protection of S. tonkinensis.http://dx.doi.org/10.1080/13102818.2020.1812430aflpgenetic diversitypopulation structuresophora tonkinensis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhu Qiao Dong Xiao Chanthaphoone Keovongkod Kun-Hua Wei Long-Fei He |
spellingShingle |
Zhu Qiao Dong Xiao Chanthaphoone Keovongkod Kun-Hua Wei Long-Fei He Assessment of the genetic diversity and population structure of Sophora tonkinensis in South China by AFLP markers Biotechnology & Biotechnological Equipment aflp genetic diversity population structure sophora tonkinensis |
author_facet |
Zhu Qiao Dong Xiao Chanthaphoone Keovongkod Kun-Hua Wei Long-Fei He |
author_sort |
Zhu Qiao |
title |
Assessment of the genetic diversity and population structure of Sophora tonkinensis in South China by AFLP markers |
title_short |
Assessment of the genetic diversity and population structure of Sophora tonkinensis in South China by AFLP markers |
title_full |
Assessment of the genetic diversity and population structure of Sophora tonkinensis in South China by AFLP markers |
title_fullStr |
Assessment of the genetic diversity and population structure of Sophora tonkinensis in South China by AFLP markers |
title_full_unstemmed |
Assessment of the genetic diversity and population structure of Sophora tonkinensis in South China by AFLP markers |
title_sort |
assessment of the genetic diversity and population structure of sophora tonkinensis in south china by aflp markers |
publisher |
Taylor & Francis Group |
series |
Biotechnology & Biotechnological Equipment |
issn |
1310-2818 1314-3530 |
publishDate |
2020-01-01 |
description |
Sophora tonkinensis is an important source of herbal medicine for treatment of swelling and pain in the throat. Its chemical composition has been extensively studied; however, there are still gaps in the research on genetic diversity of S. tonkinensis which can provide insights for better utilization and conservation of genetic resources. In this study, 23 populations of diverse locations from southern China were evaluated using AFLP markers. The average number of alleles (Na and Ne) from all populations was 0.608 (Na) and 1.153 (Ne), average Shannon’s information index was 0.137, which indicated that the genetic diversity of the whole populations was low. Unweighted pair-group method with arithmetic mean (UPGMA) clustering and principal coordinates analysis (PCoA) showed that the populations could be divided into three clades. The analysis of molecular variance (AMOVA) indicated that 20% of the molecular variance was due to differences among wild populations and 80% of the molecular variance was due to divergence within wild populations. There was a significant positive correlation between genetic distance and geographical distance, as well as ecological factors including altitude and temperature. It is necessary to closely monitor the status of the wild populations and consider expanding their genetic diversity. Establishment of the conservation basis in different areas is more conducive to the protection of S. tonkinensis. |
topic |
aflp genetic diversity population structure sophora tonkinensis |
url |
http://dx.doi.org/10.1080/13102818.2020.1812430 |
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