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通过SCoT和IRAP标记评估的遗传多样性。 不过原句似乎不太完整,“Genetic diversity of”后面缺少具体所指内容。

Genetic diversity of assessed by SCoT and IRAP markers.

作者信息

Guo Yan, Zhai Lina, Long Hao, Chen Nipi, Gao Chengxian, Ding Zhishan, Jin Bo

机构信息

1College of Life Science, Zhejiang Chinese Medical University, Hangzhou, 310053 China.

2College of Medical Technology, Zhejiang Chinese Medical University, Hangzhou, 310053 China.

出版信息

Hereditas. 2018 Nov 12;155:35. doi: 10.1186/s41065-018-0074-4. eCollection 2018.

Abstract

BACKGROUND

is a well-known traditional Chinese herb with varieties of functions. In China, the natural resources of have been severely damaged because of the excessive exploitation and destruction of natural habitats. The aim of present study was to provide a reference for fully exploiting and utilizing the germplasm resources of .

RESULTS

The genetic diversity of 50 varieties of from different area in China was analyzed by SCoT and IRAP molecular marker technique. A total of 209 bands were amplified by 20 groups of SCoT primers, of which 201 (96.17%) were polymorphic, and 47 polymorphic bands (94%) were observed in 50 bands amplified by 8 groups of IRAP primers. The 50 populations of were divided into two major groups by SCoT and IRAP at the genetic similarity coefficient value of 0.60 and 0.68 individually. The partition of clusters in the unweighted pair group method with arithmetic mean dendrogram and principal coordinate analysis plot based on the SCoT and IRAP markers was similar.

CONCLUSIONS

Results indicated the abundant genetic diversity of among different areas. Our results will provide useful information for resource protection.

摘要

背景

[草药名称]是一种具有多种功能的著名传统中药。在中国,由于过度开发和自然栖息地破坏,[草药名称]的自然资源遭到严重破坏。本研究旨在为充分开发利用[草药名称]种质资源提供参考。

结果

采用SCoT和IRAP分子标记技术对来自中国不同地区的50个[草药名称]品种的遗传多样性进行分析。20组SCoT引物共扩增出209条带,其中多态性条带201条(96.17%);8组IRAP引物扩增出的50条带中,多态性条带47条(94%)。基于SCoT和IRAP标记,50个[草药名称]群体在遗传相似系数分别为0.60和0.68时被分为两大组。基于SCoT和IRAP标记构建的非加权组平均法树状图和主坐标分析图中的聚类划分相似。

结论

结果表明不同地区的[草药名称]具有丰富的遗传多样性。我们的结果将为资源保护提供有用信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4eef/6233545/738a79670a78/41065_2018_74_Fig1_HTML.jpg

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