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Data from: Reconciling molecular phylogeny, morphological divergence and classification of Madagascan narrow-mouthed frogs (Amphibia: Microhylidae)

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DataONE2016-04-22 更新2024-06-26 收录
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A recent study clarified several aspects of microhylid phylogeny by combining DNA sequences from Sanger sequencing and anchored phylogenomics, although numerous aspects of tree topology proved highly susceptible to data partition and chosen model. Although the phylogenetic results of the study were in conflict with previous studies, the authors made several changes to the taxonomy of Madagascar’s cophyline microhylids. We re-analysed part of their data together with our own molecular and morphological data. Based on a supermatrix of 11 loci, we propose a new phylogeny of the Cophylinae, and discuss it in the context of a newly generated osteological dataset. We found several sample misidentifications, partially explaining their deviant results, and propose to resurrect the genera Platypelis and Stumpffia from the synonymy of Cophyla and Rhombophryne, respectively. We provide support for the previous genus-level taxonomy of this subfamily, and erect a new genus, Anilany gen. nov., in order to eliminate paraphyly of Stumpffia and to account for the osteological differences observed among these groups. Deep nodes in our phylogeny remain poorly supported, and future works will certainly refine our classification, but we are confident that these will not produce large-scale rearrangements.

近期一项研究结合桑格测序(Sanger sequencing)与锚定系统发育组学(anchored phylogenomics)获取的DNA序列,厘清了姬蛙科(Microhylidae)系统发育的若干关键面向,不过该研究的树形拓扑结构在诸多维度上极易受数据分区方案与所选进化模型的影响。尽管此项研究的系统发育结果与既往研究存在冲突,作者仍对马达加斯加科菲姬蛙亚科(Cophylinae)类群的分类学做出了多项调整。我们将其部分数据与本团队自主获得的分子、形态学数据进行联合重新分析。基于包含11个基因座的超级矩阵,我们提出了科菲姬蛙亚科全新的系统发育框架,并结合新构建的骨骼学数据集对该框架展开讨论。本研究发现了若干样本误鉴定案例,这在一定程度上解释了原研究出现偏差结果的原因;我们建议分别恢复扁手蛙属(Platypelis)与短头蟾属(Stumpffia)的属级地位,二者此前分别被归为科菲蛙属(Cophyla)与菱蟾属(Rhombophryne)的同物异名。我们的研究支持该亚科既往的属级分类体系,并建立新属——阿尼拉尼新属(Anilany gen. nov.),以解决短头蟾属的并系群问题,同时体现类群间观察到的骨骼学差异。本研究构建的系统发育树深层节点支持度仍较低,未来研究无疑将进一步完善我们的分类体系,但我们坚信此类完善不会引发大规模的分类重排。

创建时间:
2016-04-22
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