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Convergence of multiple markers and analysis methods defines the genetic distinctiveness of cryptic pitvipers

机译:多种标志物和分析方法的融合定义了隐性的遗传特征

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Using multiple markers and multiple analytical approaches is critical for establishing species boundaries reliably, especially so in the case of cryptic species. Despite development of new and powerful analytical methods, most studies continue to adopt a few, with the choice often being subjective. One such example is routine analysis of Amplified Fragment Length Polymorphism (AFLP) data using population genetic models despite disparity between method assumptions and data properties. The application of newly developed methods for analyzing this dominant marker may not be entirely clear in the context of species delimitation. In this study, we use AFLPs and mtDNA to investigate cryptic speciation in the Trimeresurus macrops complex that belongs to a taxonomically difficult lineage of Asian pitvipers. We analyze AFLPs using population genetic, phylogenetic, multivariate statistical, and Bayes Factor Delimitation methods. A gene tree from three mtDNA markers provided additional evidence. Our results show that the inferences about species boundaries that can be derived from population genetic analysis of AFLPs have certain limitations. In contrast, four multivariate statistical analyses produced clear clusters that are consistent with each other, as well as with Bayes Factor Delimitation results, and with mtDNA and total evidence phylogenies. Furthermore, our results concur with allopatric distributions and patterns of variation in individual morphological characters previously identified in the three proposed species: T. macrops sensu stricto, T cardamomensis, and T. rubeus. Our study provides evidence for reproductive isolation and genetic distinctiveness that define these taxa as full species. In addition, we re-emphasize the importance of examining congruence of results from multiple methods of AFLP analysis for inferring species diversity. (C) 2015 Elsevier Inc. All rights reserved.
机译:使用多个标记和多种分析方法对于可靠地建立物种边界至关重要,特别是对于隐性物种而言。尽管开发了新的强大的分析方法,但大多数研究仍继续采用一些方法,而选择往往是主观的。一个这样的例子是尽管方法假设和数据属性之间存在差异,但仍使用群体遗传模型对扩增片段长度多态性(AFLP)数据进行了常规分析。在物种划界的背景下,分析这种优势标记的新开发方法的应用可能并不完全清楚。在这项研究中,我们使用AFLP和mtDNA来研究Trimeresurus macrops复合体中的隐蔽物种,该复合体属于亚洲类动物的分类学上的困难谱系。我们使用群体遗传,系统发育,多元统计和贝叶斯定界方法分析AFLP。来自三个mtDNA标记的基因树提供了更多证据。我们的结果表明,可以从AFLP的种群遗传分析中得出的关于物种边界的推论有一定的局限性。相反,四个多变量统计分析产生了清晰的聚类,这些聚类彼此一致,与贝叶斯因子定界结果,mtDNA和总证据系统发育一致。此外,我们的结果与先前在三个拟议物种:狭叶丁香,小豆蔻和丁香中发现的个体形态特征的异相分布和变化模式一致。我们的研究提供了生殖隔离和遗传特征的证据,这些证据将这些分类群定义为完整物种。此外,我们再次强调了检查多种AFLP分析方法的结果一致以推断物种多样性的重要性。 (C)2015 Elsevier Inc.保留所有权利。

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