Lapointe F J, Kirsch J A, Hutcheon J M
Département de sciences biologiques, Université de Montréal, Montréal, H3C 3J7, Québec.
Mol Phylogenet Evol. 1999 Feb;11(1):55-66. doi: 10.1006/mpev.1998.0561.
Resolution of the total evidence (i.e., character congruence) versus consensus (i.e., taxonomic congruence) debate has been impeded by (1) a failure to employ validation methods consistently across both tree-building and consensus analyses, (2) the incomparability of methods for constructing as opposed to those for combining trees, and (3) indifference to aspects of trees other than their topologies. We demonstrate a uniform, distance-based approach which allows for comparability among the results of character- and taxonomic-congruence studies, whether or not an identical suite of taxa has been included in all contributing data sets. Our results indicate that total-evidence and consensus trees differ little in topology if branch lengths are taken into account when combining two or more trees. In addition, when character-state data are converted to distances, our method permits their combination with information produced by techniques which generate distances directly. Moreover, treating all data sets or trees as distance matrices avoids the problem that different numbers of characters in contributing studies may confound the conclusions of a total-evidence or consensus analysis. Our protocol is illustrated with an example involving bats, in which the three component studies based on serology, DNA hybridization, and anatomy imply distinct phylogenies. However, the total-evidence and consensus trees support a fourth, somewhat different, topology resolved at all but one node and which conforms closely to the currently accepted higher category classification of Chiroptera.
在总证据(即性状一致性)与共识(即分类一致性)的争论中,其解决受到了以下因素的阻碍:(1)在构建树和共识分析中未能始终如一地采用验证方法;(2)构建树的方法与组合树的方法不可比;(3)对树的拓扑结构以外的方面漠不关心。我们展示了一种基于距离的统一方法,该方法允许性状一致性和分类一致性研究结果之间具有可比性,无论所有贡献数据集中是否包含相同的分类单元组。我们的结果表明,如果在组合两棵或更多棵树时考虑分支长度,总证据树和共识树在拓扑结构上差异不大。此外,当性状状态数据转换为距离时,我们的方法允许将其与直接生成距离的技术所产生的信息相结合。而且,将所有数据集或树视为距离矩阵可避免贡献研究中不同数量的性状可能混淆总证据分析或共识分析结论的问题。我们用一个涉及蝙蝠的例子说明了我们的方案,其中基于血清学、DNA杂交和解剖学的三项组成研究暗示了不同的系统发育关系。然而,总证据树和共识树支持第四种、略有不同的拓扑结构,除一个节点外,在所有节点上都得到了解决,并且与目前公认的翼手目高级分类密切相符。