Effective models and the search for quantitative principles in microbial evolution
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Updated: Feb 1, 2026

Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC
Published on: February 18, 2022
Benjamin H Good1, Oskar Hallatschek2
1Department of Physics, University of California, Berkeley, United States; Department of Bioengineering, University of California, Berkeley, United States.
Abstract:
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.
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