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DNA条形码在中国龙胆属(龙胆科)近缘物种中的应用

The Use of DNA Barcoding on Recently Diverged Species in the Genus Gentiana (Gentianaceae) in China.

作者信息

Liu Juan, Yan Hai-Fei, Ge Xue-Jun

机构信息

Collaborative Innovation Center of Jiangxi Typical Trees Cultivation and Utilization, Jiangxi Agriculture University, Nanchang, China.

Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, the Chinese Academy of Sciences, Guangzhou, China.

出版信息

PLoS One. 2016 Apr 6;11(4):e0153008. doi: 10.1371/journal.pone.0153008. eCollection 2016.

Abstract

DNA barcoding of plants poses particular challenges, especially in differentiating, recently diverged taxa. The genus Gentiana (Gentianaceae) is a species-rich plant group which rapidly radiated in the Himalaya-Hengduan Mountains in China. In this study, we tested the core plant barcode (rbcL + matK) and three promising complementary barcodes (trnH-psbA, ITS and ITS2) in 30 Gentiana species across 6 sections using three methods (the genetic distance-based method, Best Close Match and tree-based method). rbcL had the highest PCR efficiency and sequencing success (100%), while the lowest sequence recoverability was from ITS (68.35%). The presence of indels and inversions in trnH-psbA in Gentiana led to difficulties in sequence alignment. When using a single region for analysis, ITS exhibited the highest discriminatory power (60%-74.42%). Of the combinations, matK + ITS provided the highest discrimination success (71.43%-88.24%) and is recommended as the DNA barcode for the genus Gentiana. DNA barcoding proved effective in assigning most species to sections, though it performed poorly in some closely related species in sect. Cruciata because of hybridization events. Our analysis suggests that the status of G. pseudosquarrosa needs to be studied further. The utility of DNA barcoding was also verified in authenticating 'Qin-Jiao' Gentiana medicinal plants (G. macrophylla, G. crassicaulis, G. straminea, and G. dahurica), which can help ensure safe and correct usage of these well-known Chinese traditional medicinal herbs.

摘要

植物的DNA条形码面临着特殊的挑战,尤其是在区分最近分化的分类群方面。龙胆属(龙胆科)是一个物种丰富的植物类群,在中国喜马拉雅-横断山脉地区迅速辐射演化。在本研究中,我们使用三种方法(基于遗传距离的方法、最佳近缘匹配法和基于树的方法),对6个组的30种龙胆属植物测试了核心植物条形码(rbcL + matK)和三个有前景的补充条形码(trnH-psbA、ITS和ITS2)。rbcL的PCR效率和测序成功率最高(100%),而ITS的序列可恢复性最低(68.35%)。龙胆属植物trnH-psbA中插入缺失和倒位的存在导致序列比对困难。当使用单个区域进行分析时,ITS表现出最高的鉴别力(60%-74.42%)。在组合中,matK + ITS提供了最高的鉴别成功率(71.43%-88.24%),因此推荐作为龙胆属的DNA条形码。DNA条形码在将大多数物种归入相应组方面被证明是有效的,尽管在十字花组的一些近缘物种中,由于杂交事件,其表现不佳。我们的分析表明,假鳞叶龙胆的分类地位需要进一步研究。DNA条形码在鉴定“秦艽”龙胆属药用植物(大叶龙胆、粗茎龙胆、线叶龙胆和达乌里龙胆)中的作用也得到了验证,这有助于确保这些著名的中国传统草药的安全和正确使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdfc/4822852/98c7ea1aaf55/pone.0153008.g001.jpg

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