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Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC
Published on: February 18, 2022
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Evolution of Microbial Growth Traits Under Serial Dilution
Jie Lin1, Michael Manhart2,3, Ariel Amir4
1John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138.
Genetics
|May 6, 2020
Summary
In microbial evolution experiments, beneficial mutations
Area of Science:
- Microbial Evolution
- Population Dynamics
- Theoretical Biology
Background:
- Microbial populations evolve through selection on cellular traits.
- Key traits include lag time, growth rate, and yield.
- Serial-dilution experiments are common for studying microbial evolution.
Purpose of the Study:
- To investigate the evolution of lag time, growth rate, and yield in microbial populations.
- To model the dynamics of beneficial mutations under resource competition.
- To understand how experimental parameters influence adaptation speed.
Main Methods:
- Developed a minimal model of microbial population dynamics.
- Simulated laboratory evolution experiments with serial dilutions.
- Analyzed the fixation probability of beneficial mutations.
Main Results:
- Fixation probability depends on growth rate and lag time, influenced by the dilution factor.
- Yield is not under direct selection in this model.
- Adaptation speeds are dependent on experimental parameters and mutation supply.
- Correlations between traits can emerge even with uncorrelated mutations.
Conclusions:
- The dilution factor critically shapes selection pressures on microbial traits.
- Yield adaptation is not directly driven by selection for increased resource conversion.
- Understanding trait covariation is key to predicting evolutionary trajectories.
- Results offer guidance for designing and interpreting microbial evolution experiments.
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