DNA barcodes identify Chinese medicinal plants and detect geographical patterns of Sinosenecio (Asteraceae)
DNA barcodes identify Chinese medicinal plants and detect geographical patterns of Sinosenecio (Asteraceae)
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DNA 条形码识别中药植物并检测中华九里香（菊科）的地理模式
DOI：
10.1111/jse.12166
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发表时间：
2016-01-01
影响因子：
3.7
通讯作者：
Kong, Hang-Hui
中科院分区：
文献类型：
--
作者：
Gong, Wei;Liu, Ying;Kong, Hang-Hui
事实证明，DNA条形码对于使用短而标准化的基因组区域的植物歧视和鉴定是有效的。 Sinosenecio属（Asteraceae）用于中国的传统药用目的。该属的大多数物种发生在受限制的地理区域中，并在物种内表现出广泛的形态变化，使其难以区分田间。以前，基于形态学和细胞学证据进行了分类修订。在本研究中，对代表该属的38种的107个个体进行了条形码分析，以评估四个候选条形码基因座的性能（MATK，RBCL，TRNH-PSBA和内部转录的间距[ITS]）并检测地理模式。使用了基于遗传距离，序列相似性和系统发育树的三种不同方法。仅通过其数据集或与其他基因座结合，在物种级分类过程中检测到了相当高的物种歧视能力，这被认为是Sinosenecio的最合适的条形码。我们的结果与先前关于S. Oldhamianus组单性的分类研究是一致的。本研究为鉴定药物植物物种及其地理模式提供了经验范式，确定了Sinosenecio中的分类学研究和条形码分析之间的一致性。
DNA barcodes have proved to be efficient for plants species discrimination and identification using short and standardized genomic regions. The genus Sinosenecio (Asteraceae) is used for traditional medicinal purposes in China. Most species of the genus occur in restricted geographical regions and exhibit a wide range of morphological variations within species, making them difficult to differentiate in the field. Previously, taxonomic revisions have been made based on morphological and cytological evidence. In the present study, barcoding analysis was performed on 107 individuals representing 38 species in this genus to evaluate the performance of four candidate barcoding loci (matK, rbcL, trnH‐psbA and internal transcribed spacer [ITS]) and detect geographical patterns. Three different methods based on genetic distance, sequence similarity, and the phylogenetic tree were used. Comparably high species discrimination power was detected in species‐level taxonomic process by the ITS dataset alone or combined with other loci, which was suggested to be the most suitable barcode for Sinosenecio. Our results are congruent with previous taxonomic studies concerning the monophyly of the S. oldhamianus group. The present study provides an empirical paradigm for the identification of medicinal plant species and their geographical patterns, ascertaining the congruence between taxonomical studies and barcoding analysis in Sinosenecio.