Genetic and chemical differentiation characterizes top-geoherb and non-top-geoherb areas in the TCM herb rhubarb.
Genetic and chemical differentiation characterizes top-geoherb and non-top-geoherb areas in the TCM herb rhubarb.
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中药大黄中顶级地药区和非顶级地药区的遗传和化学分化特征
DOI：
10.1038/s41598-018-27510-1
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发表时间：
2018-06-21
影响因子：
4.6
通讯作者：
Song J
中科院分区：
文献类型：
--
作者：
Wang X;Feng L;Zhou T;Ruhsam M;Huang L;Hou X;Sun X;Fan K;Huang M;Zhou Y;Song J
质量高、临床疗效显著的中药材已被认定为中药中药材。然而，使用遗传标记的这一概念的有效性尚未得到广泛的测试。本文采用系统地理（6个叶绿体DNA区、5个核DNA区和14个核微卫星位点）和化学（蒽醌含量）方法，研究了大黄（theRheum palmatumcomplex，大黄）的遗传变异。遗传和化学数据在38个被分析的人群中确定了两个不同的群体。在地理上与大黄传统的顶地草本区和非顶地草本区重合的棕榈复合体。分子测年表明，这两个类群在第四纪分道扬镳。结果表明，古中医中顶地药区和非顶地药区的概念对应于大黄的遗传和化学分化类群。
Medicinal herbs of high quality and with significant clinical effects have been designated as top-geoherbs in traditional Chinese medicine (TCM). However, the validity of this concept using genetic markers has not been widely tested. In this study, we investigated the genetic variation within theRheum palmatumcomplex (rhubarb), an important herbal remedy in TCM, using a phylogeographic (six chloroplast DNA regions, five nuclear DNA regions, and 14 nuclear microsatellite loci) and a chemical approach (anthraquinone content). Genetic and chemical data identified two distinct groups in the 38 analysed populations from theR.palmatumcomplex which geographically coincide with the traditional top-geoherb and non-top-geoherb areas of rhubarb. Molecular dating suggests that the two groups diverged in the Quaternaryc. 2.0 million years ago, a time of repeated climate changes and uplift of the Qinghai-Tibetan Plateau. Our results show that the ancient TCM concept of top-geoherb and non-top-geoherb areas corresponds to genetically and chemically differentiated groups in rhubarb.
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影响因子：
5.8
作者：
Cornuet, Jean-Marie;Santos, Filipe;Beaumont, Mark A.;Robert, Christian P.;Marin, Jean-Michel;Balding, David J.;Guillemaud, Thomas;Estoup, Arnaud
通讯作者：
Estoup, Arnaud
影响因子：
5.8
作者：
Beerli, P
通讯作者：
Beerli, P
DOI：
10.1073/pnas.081068098
发表时间：
2001-04-10
影响因子：
11.1
作者：
Beerli, P;Felsenstein, J
通讯作者：
Felsenstein, J
影响因子：
7.7
作者：
Excoffier, Laurent;Lischer, Heidi E. L.
通讯作者：
Lischer, Heidi E. L.
影响因子：
1.1
作者：
Earl, Dent A.;vonHoldt, Bridgett M.
通讯作者：
vonHoldt, Bridgett M.