ITZ, Ecology & Evolution, TiHo Hannover, Hannover, Germany.
Mol Ecol. 2010 Sep;19(18):3881-93. doi: 10.1111/j.1365-294X.2010.04720.x.
Modern taxonomy requires an analytical approach incorporating all lines of evidence into decision-making. Such an approach can enhance both species identification and species discovery. The character-based DNA barcode method provides a molecular data set that can be incorporated into classical taxonomic data such that the discovery of new species can be made in an analytical framework that includes multiple sources of data. We here illustrate such a corroborative framework in a dragonfly model system that permits the discovery of two new, but visually cryptic species. In the African dragonfly genus Trithemis three distinct genetic clusters can be detected which could not be identified by using classical taxonomic characters. In order to test the hypothesis of two new species, DNA-barcodes from different sequence markers (ND1 and COI) were combined with morphological, ecological and biogeographic data sets. Phylogenetic analyses and incorporation of all data sets into a scheme called taxonomic circle highly supports the hypothesis of two new species. Our case study suggests an analytical approach to modern taxonomy that integrates data sets from different disciplines, thereby increasing the ease and reliability of both species discovery and species assignment.
现代分类学需要一种分析方法，将所有证据纳入决策过程中。这种方法可以提高物种鉴定和发现的能力。基于特征的 DNA 条码方法提供了一个分子数据集，可以与经典分类学数据结合使用，从而可以在包括多个数据源的分析框架中发现新物种。我们在这里以蜻蜓模型系统为例来说明这种相互印证的框架，该系统可以发现两种新的、但视觉上隐蔽的物种。在非洲蜻蜓属 Trithemis 中，可以检测到三个明显不同的遗传聚类，而这些聚类无法通过使用经典的分类学特征来识别。为了验证存在两个新物种的假设，我们将来自不同序列标记（ND1 和 COI）的 DNA 条码与形态学、生态学和生物地理学数据集结合起来进行测试。系统发育分析以及将所有数据集纳入一个称为分类学循环的方案强烈支持存在两个新物种的假设。我们的案例研究表明，一种现代分类学的分析方法可以整合来自不同学科的数据，从而提高物种发现和鉴定的准确性和可靠性。
