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模式形成的微生物群体中进化驱动力的出现。

Emergence of evolutionary driving forces in pattern-forming microbial populations.

机构信息

Department of Physics, University of California, Berkeley, CA 94720, USA.

Department of Integrative Biology, University of California, Berkeley, CA 94720, USA.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2018 May 26;373(1747). doi: 10.1098/rstb.2017.0106.

Abstract

Evolutionary dynamics are controlled by a number of driving forces, such as natural selection, random genetic drift and dispersal. In this perspective article, we aim to emphasize that these forces act at the population level, and that it is a challenge to understand how they emerge from the stochastic and deterministic behaviour of individual cells. Even the most basic steric interactions between neighbouring cells can couple evolutionary outcomes of otherwise unrelated individuals, thereby weakening natural selection and enhancing random genetic drift. Using microbial examples of varying degrees of complexity, we demonstrate how strongly cell-cell interactions influence evolutionary dynamics, especially in pattern-forming systems. As pattern formation itself is subject to evolution, we propose to study the feedback between pattern formation and evolutionary dynamics, which could be key to predicting and potentially steering evolutionary processes. Such an effort requires extending the systems biology approach from the cellular to the population scale.This article is part of the theme issue 'Self-organization in cell biology'.

摘要

进化动态受多种驱动力控制,如自然选择、随机遗传漂变和扩散。在这篇观点文章中,我们旨在强调这些力作用于种群水平,理解它们如何从个体细胞的随机和确定性行为中出现是一个挑战。即使是相邻细胞之间最基本的空间相互作用也可以使原本没有关联的个体的进化结果耦合,从而削弱自然选择并增强随机遗传漂变。我们使用不同复杂程度的微生物实例,展示了细胞间相互作用如何强烈地影响进化动态,特别是在形成模式的系统中。由于模式形成本身也受到进化的影响,我们提出研究模式形成和进化动态之间的反馈,这可能是预测和潜在引导进化过程的关键。这样的努力需要将系统生物学方法从细胞扩展到种群规模。本文是“细胞生物学中的自组织”专题的一部分。

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