Modeling the Evolution of Rates of Continuous Trait Evolution.

Modeling the Evolution of Rates of Continuous Trait Evolution.
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DOI:
10.1093/sysbio/syac068
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发表时间:
2023-06-17
期刊:
影响因子:
6.5
通讯作者:
--
中科院分区:
生物学1区
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在整个生命之树中,表型进化的速度从适应性辐射的加速进化到明显的进化,再到所谓的“活化石”所暴露的显着进化性暂停。尽管如此在进化群的历史上,这些假设的变化很少。我们扩展了该模型,以适应一般的速度或增加的速度,从而使“早期/晚期爆发”的特征进化进行了灵活的建模贝叶斯的方法称为“不断发展的速率”(简短),通过模拟有效地拟合了该模型,我们证明了Vevore evorder可以可靠地推断出在进化枝的历史中如何和哪种谱系特质演化鲸类动物中体型演变的这种方法,在某些海洋海豚和相对Stagis之间爆发,恢复了整体体型演变的大量支持在这些结果中,贝氏菌的呼吸是在尖锐的鲸鱼中统一的,表明了先前的研究。
Rates of phenotypic evolution vary markedly across the tree of life, from the accelerated evolution apparent in adaptive radiations to the remarkable evolutionary stasis exhibited by so-called “living fossils.” Such rate variation has important consequences for large-scale evolutionary dynamics, generating vast disparities in phenotypic diversity across space, time, and taxa. Despite this, most methods for estimating trait evolution rates assume rates vary deterministically with respect to some variable of interest or change infrequently during a clade’s history. These assumptions may cause underfitting of trait evolution models and mislead hypothesis testing. Here, we develop a new trait evolution model that allows rates to vary gradually and stochastically across a clade. Further, we extend this model to accommodate generally decreasing or increasing rates over time, allowing for flexible modeling of “early/late bursts” of trait evolution. We implement a Bayesian method, termed “evolving rates” (evorates for short), to efficiently fit this model to comparative data. Through simulation, we demonstrate that evorates can reliably infer both how and in which lineages trait evolution rates varied during a clade’s history. We apply this method to body size evolution in cetaceans, recovering substantial support for an overall slowdown in body size evolution over time with recent bursts among some oceanic dolphins and relative stasis among beaked whales of the genus Mesoplodon. These results unify and expand on previous research, demonstrating the empirical utility of evorates. [cetacea; macroevolution; comparative methods; phenotypic diversity; disparity; early burst; late burst]
DOI: 10.1111/ele.13131
发表时间: 2018-10
期刊: Ecology letters
影响因子: 8.8
作者:
Chira AM;Cooney CR;Bright JA;Capp EJR;Hughes EC;Moody CJA;Nouri LO;Varley ZK;Thomas GH
通讯作者: Thomas GH
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发表时间: 2016-12
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DOI: 10.1093/sysbio/syy067
发表时间: 2019-05-01
期刊: SYSTEMATIC BIOLOGY
影响因子: 6.5
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Caetano, D. S.;Harmon, L. J.
通讯作者: Harmon, L. J.