ArticleGenetics2020
Evolution of Microbial Growth Traits Under Serial Dilution.
Article in Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 27 citations in OpenAlex.
- Extremal events dictate population growth rate inference.PLoS computational biology · 2026Article
- Mechanisms of Enterobacter and Bacillus in promoting aerobic composting and immobilization of Cd in livestock and poultry manure.International microbiology : the official journal of the Spanish Society for Microbiology · 2025Article
- Mutant fate in spatially structured populations on graphs: Connecting models to experiments.PLoS computational biology · 2024Article
- Grow now, pay later: When should a bacterium go into debt?Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Article
- Frequent asymmetric migrations suppress natural selection in spatially structured populations.PNAS nexus · 2023Article
- Microbial population dynamics decouple growth response from environmental nutrient concentration.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- The effect of weak clonal interference on average fitness trajectories in the presence of macroscopic epistasis.Genetics · 2022Article
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Selection of mutants in a microbial population depends on multiple cellular traits. In serial-dilution evolution experiments, three key traits are the lag time when transitioning from starvation to growth, the exponential growth rate, and the yield (number of cells per unit resource). Here, we investigate how these traits evolve in laboratory evolution experiments using a minimal model of population dynamics, where the only interaction between cells is competition for a single limiting resource. We find that the fixation probability of a beneficial mutation depends on a linear combination of its growth rate and lag time relative to its immediate ancestor, even under clonal interference. The relative selective pressure on growth rate and lag time is set by the dilution factor; a larger dilution factor favors the adaptation of growth rate over the adaptation of lag time. The model shows that yield, however, is under no direct selection. We also show how the adaptation speeds of growth and lag depend on experimental parameters and the underlying supply of mutations. Finally, we investigate the evolution of covariation between these traits across populations, which reveals that the population growth rate and lag time can evolve a nonzero correlation even if mutations have uncorrelated effects on the two traits. Altogether these results provide useful guidance to future experiments on microbial evolution.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.