Corroboration among data sets in simultaneous analysis: Hidden support for phylogenetic relationships among higher level artiodactyl taxa
Corroboration among data sets in simultaneous analysis: Hidden support for phylogenetic relationships among higher level artiodactyl taxa
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DOI：
10.1111/j.1096-0031.1999.tb00268.x
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发表时间：
1999-09-01
期刊：
影响因子：
3.6
通讯作者：
Baker, RH
中科院分区：
文献类型：
--
作者：
Gatesy, J;O'Grady, P;Baker, RH
在系统学的分类同余方法中，分别分析数据集，并通过从单独分析得出的拓扑中的重复组件来指示数据集之间的确证。相比之下，在全证据和条件组合方法中，来自不同数据集的特征在组合系统发育分析中被混合。在从这种同时分析得到的最佳拓扑中，对特定节点的支持可以归因于单个数据集中的一个、一些或全部。分区分支支持(PBS)是一种用于描述同时分析中数据集之间的特征支持度分布和冲突的技术。PBS类似于分支支持(BS)，但可以识别隐藏的支持和来自不同数据集的字符组合出现的冲突。对于BS和PBS，对特定节点的支持被解释为最优和次优拓扑之间的成本差异。另一种衡量标准是分支稳定性指数(CSI)，它通过连续删除字符来评估特定节点的健壮性。这里，我们引入CSI的变化，即数据集删除指数(DRI)和节点数据集影响(NDI)，它们指示特定节点对整个数据集的删除的稳定性。与PBS一样，DRI和NDI总结了不同数据集在同时分析中的影响。然而，由于这些新方法和PBS使用不同的扰动来评估稳定性，DRI和NDI分数并不总是预测PBS分数，反之亦然。在这份报告中，通过对偶蹄目(哺乳动物纲)17个数据集的分支分析，将DRI和NDI与PBS和分类同余进行了比较。定义了隐藏支持和冲突的五个指标，并将其应用于组合偶指字符集。这些措施确定了对偶蹄目动物内部有争议的关系的实质性隐藏支持。在分类学的分类同余方法中，隐藏字符支持被忽略，但DRI、NDI和PBS在对给定节点的数据集之间的支持的估计中利用该隐蔽信息，(C)1999威利·亨尼格学会。
In the taxonomic congruence approach to systematics, data sets are analyzed separately, and corroboration among data sets is indicated by replicated components in topologies derived from the separate analyses. By contrast, in the total evidence and conditional combination approaches, characters from different data sets are mixed in combined phylogenetic analyses. In optimal topologies derived from such simultaneous analyses, support for a particular node may be attributed to one, some, or all of the individual data sets. Partitioned branch support (PBS) is one technique for describing the distribution of character support and conflict among data sets in simultaneous analysis. PBS is analogous to branch support (BS), but recognizes hidden support and conflicts that emerge with the combination of characters from different data sets. For both BS and PBS, support for a particular node is interpreted as the difference in cost between optimal and suboptimal topologies. A different measure, the clade stability index (CSI), assesses the robustness of a particular node through the successive removal of characters. Here, we introduce variations of the CSI, the data set removal index (DRI) and nodal data set influence (NDI), that indicate the stability of a particular node to the removal of entire data sets. Like PBS, the DRI and NDI summarize the influence of different data sets in simultaneous analysis. However, because these new methods and PBS use different perturbations to assess stability, DRI and NDI scores do not always predict PBS scores and vice versa. In this report, the DRI and NDI are compared to PBS and taxonomic congruence in a cladistic analysis of 17 data sets for Artiodactyla (Mammalia). Five indices of hidden support and conflict are defined and applied to the combined artiodactyl character set. These measures identify substantial hidden support for controversial relationships within Artiodactyla. Hidden character support is ignored in the taxonomic congruence approach to systematics, but the DRI, NDI, and PBS utilize this cryptic information in estimates of support among data sets for a given node, (C) 1999 The Willi Hennig Society.