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The likelihood node density effect and consequences for evolutionary studies of molecular rates

机译:分子速率进化研究的似然节点密度效应及其后果

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Many molecular phylogenies show longer root-to-tip path lengths in species-rich groups, encouraging hypotheses linking cladogenesis with accelerated molecular evolution. However, the pattern can also be caused by an artifact called the node density effect (NDE): this effect occurs when the method used to reconstruct a tree underestimates multiple hits that would have been revealed by extra nodes, leading to longer root-to-tip path lengths in clades with more terminal taxa. Here we use a twofold approach to demonstrate that maximum likelihood and Bayesian methods also suffer from the NDE known to affect parsimony. First, simulations deliberately mismatching the simulation and reconstruction models show that the greater the model disparity, the greater the gap between actual and reconstructed tree lengths, and the greater the NDE. Second, taxon sampling manipulation with empirical data shows that NDE can still be present when using optimized models: across 12 datasets, 70 out of 109 sister path comparisons showed significant evidence of NDE. Unless the model fairly accurately reconstructs the real tree length-and given the complexity of real sequence evolution this may be uncommon-it will consistently produce a node density artifact. At commonly encountered divergence levels, a 10% underestimation of tree length results in >= 80% of simulated phylogenies showing a positive NDE. Bayesian trees have a slight but consistently stronger effect. This pervasive methodological artifact increases apparent rate heterogeneity, and can compromise investigations of factors influencing molecular evolutionary rate that use path lengths in topologically asymmetric trees.
机译:许多分子系统发育学在物种丰富的群体中显示出更长的从根到尖端的路径长度,这鼓励了将枝状发生与分子加速进化联系起来的假说。但是,该模式也可能是由称为节点密度效应(NDE)的伪像引起的:当用于重建树的方法低估了多余节点会显示的多次匹配时,就会出现这种效应,从而导致更长的根到目标进化枝中具有更多末端分类单元的末端路径长度。在这里,我们使用双重方法来证明最大似然法和贝叶斯方法也遭受已知会影响简约性的NDE。首先,模拟故意使模拟模型与重建模型不匹配,这表明模型差异越大,实际树长与重建树长之间的差距就越大,NDE也就越大。其次,利用经验数据进行分类群采样操作表明,使用优化模型时仍可以存在NDE:在109个姊妹路径比较中,有12个数据集中有70个显示了NDE的重要证据。除非模型能够相当准确地重建实际树的长度,并且考虑到实际序列进化的复杂性,否则这种情况可能很少见,否则它将始终产生节点密度伪影。在通常遇到的差异水平下,树木长度低估10%会导致> = 80%的模拟系统发育显示NDE为正。贝叶斯树有轻微但始终如一的效果。这种普遍存在的方法学假象会增加表观速率的异质性,并且可能会影响对使用分子结构拓扑路径中的路径长度的分子进化速率的影响因素的研究。

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