Department of Physics, University of California, Berkeley, United States; Department of Bioengineering, University of California, Berkeley, United States.
Department of Physics, University of California, Berkeley, United States; Department of Integrative Biology, University of California, Berkeley, United States.
Curr Opin Microbiol. 2018 Oct;45:203-212. doi: 10.1016/j.mib.2018.11.005. Epub 2018 Dec 6.
Microbes evolve rapidly. Yet they do so in idiosyncratic ways, which depend on the specific mutations that are beneficial or deleterious in a given situation. At the same time, some population-level patterns of adaptation are strikingly similar across different microbial systems, suggesting that there may also be simple, quantitative principles that unite these diverse scenarios. We review the search for simple principles in microbial evolution, ranging from the biophysical level to emergent evolutionary dynamics. A key theme has been the use of effective models, which coarse-grain over molecular and cellular details to obtain a simpler description in terms of a few effective parameters. Collectively, these theoretical approaches provide a set of quantitative principles that facilitate understanding, prediction, and potentially control of evolutionary phenomena, though formidable challenges remain due to the ecological complexity of natural populations.
微生物进化迅速。然而,它们的进化方式是特殊的,这取决于特定的突变在特定情况下是有益的还是有害的。与此同时,一些适应的群体水平模式在不同的微生物系统中惊人地相似,这表明可能也存在简单的、定量的原则将这些不同的场景统一起来。我们回顾了在微生物进化中寻找简单原则的研究,范围从生物物理层面到新兴的进化动态。一个关键主题是使用有效模型,这些模型对分子和细胞细节进行了粗粒化处理,从而以几个有效参数的形式获得了更简单的描述。总的来说,这些理论方法提供了一组定量原则,有助于理解、预测和潜在控制进化现象,尽管由于自然种群的生态复杂性,仍然存在巨大的挑战。