Damgaard Jakob, Cognato Anthony I
Department of Evolutionary Biology, Zoological Institute and Department of Entomology, Zoological Museum, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark.
Department of Entomology, Texas A&M University, College Station, TX 77843-2475, USA.
Cladistics. 2003 Dec;19(6):512-526. doi: 10.1111/j.1096-0031.2003.tb00386.x.
Incongruence among trees reconstructed with different data may stem from historical (gene tree-species tree conflict) or process (character change biases) phenomena. Regardless of the source, incongruent data, as determined with "global" measures of homoplasy, have often been excluded from parsimony analysis of the combined data. Recent studies suggest that these homoplasy measures do not predict the contribution of each character to overall tree structure. Branch support measures identify, on a character to node basis, sources of support and conflict resulting from a simultaneous analysis of the data. We implement these branch support measures to identify sources of character conflict in a clade of water striders consisting of Gerris Fabricius, Aquarius Schellenberg, and Limnoporus Stål species. Separate analyses of morphology, mitochondrial cytochrome oxidase I (COI), large mitochondrial ribosomal subunit (16SrRNA), and elongation factor-1α (EF-1α) data resulted in cladograms that varied in resolution and topological concordance. Simultaneous analysis of the data resulted in two trees that were unresolved for one node in a strict consensus. The topology agreed with current classification except for the placements of Aquarius chilensis and the Aquarius remigis species group closer to Gerris than to congeneric species. Branch support measures indicated that support derived from each data set varied among nodes, but COI had an overall negative effect on branch support. However, Spearman rank correlation of partitioned branch support values indicated no negative associations of branch support between any data sets and a positive association between EF-1α and 16SrRNA. Thus incongruence among data sets was not drastic and the gene-tree versus species tree phenomenon was not implicated. Biases in character change were a more likely reason for incongruence, although saturation curves and incongruence length difference for COI indicated little potential for homoplasy. However, a posteriori inspection of COI nucleotide change with reference to the simultaneous analysis tree revealed AT and codon biases. These biases were not associated with branch support measures. Therefore, it is difficult to predict incongruence or identify its cause. Exclusion of data is ill advised because every character is potentially parsimony informative.
用不同数据重建的树之间的不一致可能源于历史(基因树与物种树冲突)或过程(性状变化偏差)现象。无论其来源如何,通过“全局”同塑性度量确定的不一致数据,通常在合并数据的简约分析中被排除。最近的研究表明,这些同塑性度量并不能预测每个性状对整体树结构的贡献。分支支持度量基于性状到节点的方式,识别同时分析数据所产生的支持和冲突来源。我们应用这些分支支持度量来识别由长蝽科的细纹长蝽属(Gerris Fabricius)、宽肩黾蝽属(Aquarius Schellenberg)和细黾蝽属(Limnoporus Stål)物种组成的一个分支中的性状冲突来源。对形态学、线粒体细胞色素氧化酶I(COI)、线粒体大核糖体亚基(16SrRNA)和延伸因子-1α(EF-1α)数据的单独分析产生了在分辨率和拓扑一致性上有所不同的分支图。对这些数据的同时分析产生了两棵树,在严格合意树中一个节点未得到解决。除了智利宽肩黾蝽(Aquarius chilensis)和美洲宽肩黾蝽物种组(Aquarius remigis species group)比其同属物种更接近细纹长蝽属而不是与同属物种聚在一起的位置外,该拓扑结构与当前分类一致。分支支持度量表明,每个数据集提供的支持在节点间各不相同,但COI对分支支持总体上有负面影响。然而,分区分支支持值的斯皮尔曼等级相关性表明,任何数据集之间的分支支持没有负相关,而EF-1α和16SrRNA之间存在正相关。因此,数据集之间的不一致并不严重,基因树与物种树现象未被涉及。性状变化偏差更可能是不一致的原因,尽管COI的饱和曲线和不一致长度差异表明同塑性潜力很小。然而,参照同时分析树对COI核苷酸变化的事后检查揭示了AT和密码子偏差。这些偏差与分支支持度量无关。因此,很难预测不一致或确定其原因。不建议排除数据,因为每个性状都可能具有简约信息性。