Memory in Trait Macroevolution
Memory in Trait Macroevolution
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特质宏观进化中的记忆
DOI：
10.1086/705992
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Foo, Jasmine
中科院分区：
文献类型：
--
作者：
Goldberg, Emma E.;Foo, Jasmine
一个谱系内的性状的历史可能会影响其未来的进化轨迹，但这一过程的宏观进化理论还没有得到很好的发展。例如，考虑生活在洞穴和地表栖息地的简化二元特征。一个物种在洞穴中生活的时间越长，如果遇到地表环境，视力、色素沉着和防御能力的累积损失就越多，这可能会限制该物种未来的适应能力。然而，离散性状进化的马尔可夫模型，广泛采用的遗传学不允许洞穴到表面的过渡率降低较长的持续时间作为一个洞穴居民。在这里，我们描述了三种模型的进化，消除这种无记忆的约束，使用更新过程概括超出了典型的泊松过程的离散性状宏进化。然后，我们展示了如何两个状态的更新过程可以用于推理，我们调查的潜力，系统发育的比较数据，以揭示不同的影响性状持续时间，或记忆性状进化。我们希望这些方法可以为特征进化建模和对某些特征变得根深蒂固的假设进行广泛的比较测试开辟新的途径。
The history of a trait within a lineage may influence its future evolutionary trajectory, but macroevolutionary theory of this process is not well developed. For example, consider the simplified binary trait of living in cave versus surface habitat. The longer a species has been cave dwelling, the more accumulated loss of vision, pigmentation, and defense may restrict future adaptation if the species encounters the surface environment. However, the Markov model of discrete trait evolution that is widely adopted in phylogenetics does not allow the rate of cave-to-surface transition to decrease with longer duration as a cave dweller. Here we describe three models of evolution that remove this memoryless constraint, using a renewal process to generalize beyond the typical Poisson process of discrete trait macroevolution. We then show how the two-state renewal process can be used for inference, and we investigate the potential of phylogenetic comparative data to reveal different influences of trait duration, or memory in trait evolution. We hope that such approaches may open new avenues for modeling trait evolution and for broad comparative tests of hypotheses that some traits become entrenched.