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啄木鸟科鸟类的一个扩充超级矩阵系统发育树揭示了其家族树深处的不确定性。

An augmented supermatrix phylogeny of the avian family Picidae reveals uncertainty deep in the family tree.

作者信息

Dufort Matthew J

机构信息

Graduate Program in Ecology, Evolution and Behavior, University of Minnesota, 100 Ecology Building, 1987 Upper Buford Circle, Saint Paul, MN 55108, United States.

出版信息

Mol Phylogenet Evol. 2016 Jan;94(Pt A):313-26. doi: 10.1016/j.ympev.2015.08.025. Epub 2015 Sep 26.

DOI:10.1016/j.ympev.2015.08.025
PMID:26416706
Abstract

The accumulation of DNA sequence data in public repositories allows for phylogenetic inference on unprecedented taxonomic scales using supermatrix approaches. Careful analysis of available data allows strategic augmentation with new sequences in order to maximize taxonomic sampling and coverage of informative loci. I inferred relationships among 179 species (76%) in the avian family Picidae (woodpeckers, piculets, and wrynecks), using publicly available sequence data supplemented with targeted sequencing to increase species-level and locus-level sampling and maximize resolution. Results of these analyses generally corroborate previous molecular studies, with consensus on the membership of most genera and tribes. However, several newly placed taxa show surprising affinities, and several genera as currently delineated appear to be paraphyletic. Relationships among major clades of Picidae remain poorly resolved, particularly among the three lineages of piculets, the unusual woodpecker genus Hemicircus, and the remaining woodpeckers, and among the major groups of true woodpeckers (Picinae). If these deep relationships are to be resolved, phylogenomic approaches may be necessary.

摘要

公共数据库中DNA序列数据的积累,使得利用超级矩阵方法在前所未有的分类尺度上进行系统发育推断成为可能。对现有数据进行仔细分析,有助于通过新增序列进行策略性扩充,从而最大限度地增加分类采样和信息位点的覆盖范围。我利用公开可用的序列数据,并辅以靶向测序,以增加物种水平和位点水平的采样并最大化分辨率,推断了啄木鸟科(啄木鸟、姬啄木鸟和拟啄木鸟)179个物种(占76%)之间的关系。这些分析结果总体上证实了先前的分子研究,大多数属和族的成员关系达成了共识。然而,几个新归类的分类单元显示出惊人的亲缘关系,目前划定的几个属似乎是并系的。啄木鸟科主要分支之间的关系仍然难以解析,尤其是在姬啄木鸟的三个谱系、不寻常的啄木鸟属弯嘴啄木鸟以及其余啄木鸟之间,以及在真啄木鸟(啄木鸟亚科)的主要类群之间。如果要解析这些深层次的关系,可能需要采用系统基因组学方法。

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