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通过快速和慢速反馈的耦合不断进化。

Continual evolution through coupled fast and slow feedbacks.

机构信息

Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, 0316 Oslo, Norway;

Origins Center, 9747 AG Groningen, The Netherlands.

出版信息

Proc Natl Acad Sci U S A. 2020 Feb 25;117(8):4234-4242. doi: 10.1073/pnas.1916345117. Epub 2020 Feb 6.

Abstract

Continual evolution describes the unceasing evolution of at least one trait involving at least one organism. The Red Queen Hypothesis is a specific case in which continual evolution results from coevolution of at least two species. While microevolutionary studies have described examples in which evolution does not cease, understanding which general conditions lead to continual evolution or to stasis remains a major challenge. In many cases, it is unclear which experimental features or model assumptions are necessary for the observed continual evolution to emerge, and whether the described behavior is robust to variations in the given setup. Here, we aim to find the minimal set of conditions under which continual evolution occurs. To this end, we present a theoretical framework that does not assume any specific functional form and, therefore, can be applied to a wide variety of systems. Our framework is also general enough to make predictions about both monomorphic and polymorphic populations. We show that the combination of a fast positive and a slow negative feedback between environment, population, and evolving traits causes continual evolution to emerge even from the evolution of a single evolving trait, provided that the ecological timescale is sufficiently faster than the timescales of mutation and the negative feedback. Our approach and results thus contribute to a deeper understanding of the evolutionary dynamics resulting from biotic interactions.

摘要

持续进化描述了至少一个涉及至少一个生物体的特征的不断进化。红皇后假说就是一个具体的例子,其中持续进化是由至少两个物种的共同进化导致的。虽然微观进化研究已经描述了进化不会停止的例子,但理解哪些一般条件导致持续进化或停滞仍然是一个主要挑战。在许多情况下,不清楚观察到的持续进化出现所必需的实验特征或模型假设是什么,以及所描述的行为是否对给定设置中的变化具有稳健性。在这里,我们旨在找到持续进化发生的最小条件集。为此,我们提出了一个理论框架,该框架不假设任何特定的功能形式,因此可以应用于广泛的系统。我们的框架也足够通用,可以对单态和多态种群做出预测。我们表明,环境、种群和进化特征之间的快速正反馈和缓慢负反馈的组合,即使是从单一进化特征的进化中,也会导致持续进化的出现,前提是生态时间尺度足够快于突变和负反馈的时间尺度。因此,我们的方法和结果有助于更深入地了解生物相互作用产生的进化动态。

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Continual evolution through coupled fast and slow feedbacks.通过快速和慢速反馈的耦合不断进化。
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