Noise and incongruence: Interpreting results of the incongruence length difference test
Noise and incongruence: Interpreting results of the incongruence length difference test
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DOI：
10.1006/mpev.2000.0845
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发表时间：
2000-12-01
影响因子：
4.1
通讯作者：
Quicke, DLJ
中科院分区：
文献类型：
--
作者：
Dolphin, K;Belshaw, R;Quicke, DLJ
数据集之间的不一致是分子系统发育中的一个重要概念，通常通过不一致长度差异（ILD）测试来测量（J. S. Farris等）。分类学10,315-319)。ILD测试已被用于推断特定的进化事件，并确定是否将数据集结合起来进行系统发育分析。然而，文献中对测试结果的解释各不相同，因为作者对噪声将产生的影响有相互矛盾的期望。通过模拟，我们证明了噪声本身可以在ILD测试中产生非常显著的结果，并证明了为什么会这样。为了澄清测试结果的解释，我们建议采用一个额外的程序，将结果与完全洗牌数据产生的频率分布进行比较。作为例子，我们将这种方法应用于之前两项报告不一致的研究。(C) 2000年学术出版社。
Incongruence between data sets is an important concept in molecular phylogenetics and is commonly measured by the incongruence length difference (ILD) test (J. S. Farris et al. Cladistics 10, 315-319). The ILD test has been used to infer specific evolutionary events and to determine whether to combine data sets for phylogenetic analysis. However, the interpretation in the literature of the test's results varies because authors have conflicting expectations of the effect that noise will have. Using simulations we demonstrate that noise can by itself generate highly significant results in the ILD test and demonstrate why this is the case. To clarify the interpretation of test results, we suggest an additional procedure in which the result is compared against a frequency distribution generated from completely shuffled data. As examples, we apply this approach to two previous studies that have reported incongruence. (C) 2000 Academic Press.