Departamento de Ciencias de la Vida, Universidad de Alcalá, 28805, Alcalá de Henares, Madrid, Spain.
BMC Evol Biol. 2017 Feb 15;17(1):53. doi: 10.1186/s12862-017-0898-y.
Inaccurate estimates of phylogenetic signal may mislead interpretations of many ecological and evolutionary processes, and hence understanding where potential sources of uncertainty may lay has become a priority for comparative studies. Importantly, the sensitivity of phylogenetic signal indices and their associated statistical tests to incompletely resolved phylogenies and suboptimal branch-length information has been only partially investigated. METHODS: Here, we use simulations of trait evolution along phylogenetic trees to assess whether incompletely resolved phylogenies (polytomic chronograms) and phylogenies with suboptimal branch-length information (pseudo-chronograms) could produce directional biases in significance tests (p-values) associated with Blomberg et al.'s K and Pagel's lambda (λ) statistics, two of the most widely used indices to measure and test phylogenetic signal. Specifically, we conducted pairwise comparisons between the p-values resulted from the use of "true" chronograms and their degraded counterparts (i.e. polytomic chronograms and pseudo-chronograms), and computed the frequency with which the null hypothesis of no phylogenetic signal was accepted using "true" chronograms but rejected when using their degraded counterparts (type I bias) and vice versa (type II bias).
We found that the use of polytomic chronograms in combination with Blomberg et al.'s K resulted in both, clearly inflated estimates of phylogenetic signal and moderate levels of type I and II biases. More importantly, pseudo-chronograms led to high rates of type I biases. In contrast, Pagel's λ was strongly robust to either incompletely resolved phylogenies and suboptimal branch-length information.
Our results suggest that pseudo-chronograms can lead to strong overestimation of phylogenetic signal when using Blomberg et al.'s K (i.e. high rates of type I biases), while polytomies may be a minor concern given other sources of uncertainty. In contrast, Pagel's λ seems strongly robust to either incompletely resolved phylogenies and suboptimal branch-length information. Hence, Pagel's λ may be a more appropriate alternative over Blomberg et al.'s K to measure and test phylogenetic signal in most ecologically relevant traits when phylogenetic information is incomplete.
不准确的系统发育信号估计可能会导致对许多生态和进化过程的解释出现偏差,因此,了解潜在的不确定性来源至关重要,这已成为比较研究的重点。重要的是,系统发育信号指数及其相关统计检验对不完全解决的系统发育和次优分支长度信息的敏感性仅部分得到了研究。方法:在这里,我们使用沿着系统发育树的性状进化模拟来评估不完全解决的系统发育(多分类时间树)和具有次优分支长度信息的系统发育(伪时间树)是否会导致与 Blomberg 等人的 K 和 Pagel 的 λ(λ)统计量相关的显著性检验(p 值)产生方向性偏差,这两个指数是衡量和检验系统发育信号最广泛使用的指数之一。具体来说,我们对使用“真实”时间树及其降级对应物(即多分类时间树和伪时间树)得出的 p 值进行了两两比较,并计算了当使用“真实”时间树但拒绝使用其降级对应物时,无系统发育信号的零假设被接受的频率(I 型偏差),反之亦然(II 型偏差)。结果:我们发现,使用多分类时间树与 Blomberg 等人的 K 结合使用,不仅导致系统发育信号的估计明显膨胀,而且还导致 I 型和 II 型偏差的中等水平。更重要的是,伪时间树导致高的 I 型偏差率。相比之下,Pagel 的 λ 对不完全解决的系统发育和次优分支长度信息具有很强的稳健性。结论:我们的结果表明,当使用 Blomberg 等人的 K 时,伪时间树可能导致对系统发育信号的强烈高估(即 I 型偏差率高),而多分类可能是其他不确定性来源的一个较小的关注点。相比之下,Pagel 的 λ 对不完全解决的系统发育和次优分支长度信息具有很强的稳健性。因此,当系统发育信息不完全时,Pagel 的 λ 可能是衡量和检验大多数生态相关性状系统发育信号的更合适的替代方法,而不是 Blomberg 等人的 K。