Heterogeneity in the rate of molecular sequence evolution substantially impacts the accuracy of detecting shifts in diversification rates
Heterogeneity in the rate of molecular sequence evolution substantially impacts the accuracy of detecting shifts in diversification rates
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分子序列进化速率的异质性极大地影响了检测多样化速率变化的准确性
DOI：
10.1111/evo.14036
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发表时间：
2020
期刊：
影响因子：
3.3
通讯作者：
Mayrose, Itay
中科院分区：
文献类型：
--
作者：
Shafir, Anat;Azouri, Dana;Goldberg, Emma E.;Mayrose, Itay
随着物种丰富度在生命之树上的变化，人们对确定影响谱系物种形成或灭绝的速度的因素非常感兴趣。为此，理论生物学家开发了一套系统发育比较方法，旨在确定多样化比率在系统发展史上的哪里发生了变化，以及它们是否与某些特征有关。使用这些方法，许多研究已经预测，物种形成和灭绝的速度在整个生命树上是不同的。在这项研究中，我们表明，不对称的序列进化速度导致了所推断的系统进化中的系统性偏差，这反过来又导致了关于谱系多样化模式的错误推断。结果表明，随着序列演化速度的不对称性增加，选择更复杂模型的倾向也会增加，其中包括多样化速度变化的可能性。因此，这些结果表明，任何关于多样化模式变化的推断都应该非常谨慎地对待，至少在排除关于分子替换率的任何偏见之前应该如此。
As species richness varies along the tree of life, there is a great interest in identifying factors that affect the rates by which lineages speciate or go extinct. To this end, theoretical biologists have developed a suite of phylogenetic comparative methods that aim to identify where shifts in diversification rates had occurred along a phylogeny and whether they are associated with some traits. Using these methods, numerous studies have predicted that speciation and extinction rates vary across the tree of life. In this study, we show that asymmetric rates of sequence evolution lead to systematic biases in the inferred phylogeny, which in turn lead to erroneous inferences regarding lineage diversification patterns. The results demonstrate that as the asymmetry in sequence evolution rates increases, so does the tendency to select more complicated models that include the possibility of diversification rate shifts. These results thus suggest that any inference regarding shifts in diversification pattern should be treated with great caution, at least until any biases regarding the molecular substitution rate have been ruled out.
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影响因子：
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作者：
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通讯作者：
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DOI：
--
发表时间：
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期刊：
Proceedings of the Royal Society of London. Series B: Biological Sciences
影响因子：
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作者：
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作者：
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DOI：
--
发表时间：
2019
期刊：
bioRxiv
影响因子：
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作者：
Stilianos Louca;Matthew W. Pennell
通讯作者：
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