Soul Laura C, Friedman Matt
Department of Earth Sciences, University of Oxford, South Parks Road, Oxford OX1 3AN, UK
Department of Earth Sciences, University of Oxford, South Parks Road, Oxford OX1 3AN, UK.
Syst Biol. 2015 Jul;64(4):608-20. doi: 10.1093/sysbio/syv015. Epub 2015 Mar 24.
Many extinct taxa with extensive fossil records and mature taxonomic classifications have not yet been the subject of formal phylogenetic analysis. Here, we test whether the taxonomies available for such groups represent useful (i.e., non-misleading) substitutes for trees derived from matrix-based phylogenetic analyses. We collected data for 52 animal clades that included fossil representatives, and for which a recent cladogram and pre-cladistic taxonomy were available. We quantified the difference between the time-scaled phylogenies implied by taxonomies and cladograms using the matching cluster distance metric. We simulated phenotypic trait values and used them to estimate a series of commonly used, phylogenetically explicit measures (phylogenetic signal [Blomberg's [Formula: see text]], phylogenetic generalized least squares [PGLS], mode of evolution [Brownian vs. Ornstein-Uhlenbeck], and phylogenetic clustering of extinction [Fritz and Purvis' [Formula: see text]]) in order to determine the degree to which they co-varied on taxonomic and cladistic trees. With respect to topology taxonomies are good approximations of the underlying evolutionary relationships as recorded in inferred cladograms. Detection of phylogenetic clustering of extinction could not be properly assessed. For all other evolutionary analyses, results from taxonomy-based phylogenies (TBPs) co-varied with those from cladogram-based phylogenies (CBPs), but individual comparisons could be misleading. The relative length of terminal branches (influenced by stratigraphy and sampling rate) is a key control on the shared information between, and therefore the relative performance of, TBP and CBP. Collectively these results suggest that under particular circumstances and after careful consideration some taxonomies, or composite trees that incorporate taxonomic information, could be used in place of a formal analytical solution, but workers must be cautious. This opens certain parts of a previously inaccessible section of the fossil record to interrogation within an explicit comparative framework, which will help to test many classical macroevolutionary hypotheses formulated for groups that currently lack formal phylogenetic estimates.
许多拥有广泛化石记录和成熟分类学分类的已灭绝分类群尚未成为正式系统发育分析的对象。在此,我们测试此类群体可用的分类法是否可作为基于矩阵的系统发育分析得出的树的有用(即非误导性)替代品。我们收集了52个动物类群的数据,这些类群包括化石代表,并且有最近的分支图和分支分类学之前的分类法。我们使用匹配聚类距离度量来量化分类法和分支图所隐含的时间尺度系统发育之间的差异。我们模拟了表型性状值,并使用它们来估计一系列常用的、系统发育明确的指标(系统发育信号[布隆伯格的[公式:见正文]]、系统发育广义最小二乘法[PGLS]、进化模式[布朗运动与奥恩斯坦 - 乌伦贝克]以及灭绝的系统发育聚类[弗里茨和珀维斯的[公式:见正文]]),以确定它们在分类树和分支图树上的共变程度。就拓扑结构而言,分类法是对推断分支图中记录的潜在进化关系的良好近似。灭绝的系统发育聚类的检测无法得到恰当评估。对于所有其他进化分析,基于分类法的系统发育(TBP)结果与基于分支图的系统发育(CBP)结果共变,但个别比较可能会产生误导。末端分支的相对长度(受地层学和采样率影响)是TBP和CBP之间共享信息以及因此相对性能的关键控制因素。总体而言,这些结果表明,在特定情况下并经过仔细考虑,一些分类法或纳入分类信息的复合树可用于替代正式的分析解决方案,但研究人员必须谨慎。这使得化石记录中以前无法触及的部分能够在明确的比较框架内进行审视,这将有助于检验许多为目前缺乏正式系统发育估计的类群所提出的经典宏观进化假设。