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首页> 外文期刊>Molecular phylogenetics and evolution >Molecular species delimitation methods and population genetics data reveal extensive lineage diversity and cryptic species in Aglaopheniidae (Hydrozoa)
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Molecular species delimitation methods and population genetics data reveal extensive lineage diversity and cryptic species in Aglaopheniidae (Hydrozoa)

机译:分子物种定界方法和种群遗传学数据揭示了嗜藻科的广泛谱系多样性和隐性物种

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A comprehensive inventory of global biodiversity would be greatly improved by automating methods for species delimitation. The Automatic Barcode Gap Discovery method, the Poisson tree processes algorithm and the Generalized mixed Yule-coalescent model have been proposed as means of increasing the rate of biodiversity description using single locus data. We applied these methods to explore the diversity within the Aglaopheniidae, a hydrozoan family with many species widely distributed across tropical and temperate oceans. Our analyses revealed widespread cryptic diversity in this family, almost half of the morpho-species presenting several independent evolutionary lineages, as well as support for cases of synonymy. For two common species of this family, Lytocarpia brevirostris and Macrorhynchia phoenicea, we compared the outputs to clustering analyses based on microsatellite data and to nuclear gene phylogenies. For L. brevirostris, microsatellite data were congruent with results of the species delimitation methods, revealing the existence of two cryptic species with Indo-Pacific distribution. For M.. phoenicea, all analyses confirmed the presence of two cryptic species within the South-Western Indian Ocean. Our study suggests that the diversity of Aglaopheniidae might be much higher than assumed, likely related to low dispersal capacities. Sequence-based species delimitation methods seem highly valuable to reveal cryptic diversity in hydrozoans; their application in an integrative framework will be very useful in describing the phyletic diversity of these organisms. (C) 2016 Elsevier Inc. All rights reserved.
机译:通过自动化物种划界方法,将大大改善全球生物多样性的综合清单。提出了自动条码间隙发现方法,泊松树处理算法和广义混合Yule-coalescent模型,以提高使用单个基因座数据的生物多样性描述率。我们应用这些方法探索了Aglaopheniidae(一个水生动物科,其中许多物种广泛分布于热带和温带海洋)内的多样性。我们的分析揭示了该家族中广泛的隐秘多样性,几乎一半的形态物种表现出几个独立的进化谱系,并支持同义的情况。对于该科的两个常见物种,短果紫苏和凤凰木,我们将输出与基于微卫星数据的聚类分析以及核基因系统发育进行了比较。对于短短乳杆菌,微卫星数据与物种定界方法的结果一致,揭示了存在两种具有印度太平洋分布的隐性物种。对于凤凰分枝杆菌,所有分析都确认了西南印度洋内存在两种隐性物种。我们的研究表明,嗜藻科的多样性可能比假设的要高得多,可能与低分散能力有关。基于序列的物种定界方法对于揭示水生动物的隐秘多样性似乎非常有价值。在综合框架中的应用将对描述这些生物的系统多样性非常有用。 (C)2016 Elsevier Inc.保留所有权利。

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