ArticleNature ecology & evolution2017
Optimization of lag phase shapes the evolution of a bacterial enzyme.
Article in Nature ecology & evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed, 54 citations in OpenAlex.
- Machine Learning Reveals Quantitative Amino Acid Preferences in Bifidobacterium longum Growth.Microbial biotechnology · 2026Article
- Mechanistic two-pathway modeling of substrate inhibition in lactic acid bacteria for enhanced fermentation control.Quantitative biology (Beijing, China) · 2026Article
- Assessing methods for estimating microbial lag phase duration: a comparative analysis using Saccharomyces cerevisiae empirical and simulated data.FEMS yeast research · 2025Article
- Article
- Understanding cellular growth strategies via optimal control.Journal of the Royal Society, Interface · 2023Article
- Decreased thermal niche breadth as a trade-off of antibiotic resistance.The ISME journal · 2022Article
- Diauxic lags explain unexpected coexistence in multi-resource environments.Molecular systems biology · 2022Article
- The Protein Folding Problem: The Role of Theory.Journal of molecular biology · 2021Review
- Avoidance of protein unfolding constrains protein stability in long-term evolution.Biophysical journal · 2021Article
- Metabolic response to point mutations reveals principles of modulation of in vivo enzyme activity and phenotype.Molecular systems biology · 2021Article
- Pervasive cooperative mutational effects on multiple catalytic enzyme traits emerge via long-range conformational dynamics.Nature communications · 2021Article
- Visualization and Quantification of Genetically Adapted Microbial Cells During Preculture.Frontiers in microbiology · 2021Article
- Evolution of Microbial Growth Traits Under Serial Dilution.Genetics · 2020Article
- Taxon-specific microbial growth and mortality patterns reveal distinct temporal population responses to rewetting in a California grassland soil.The ISME journal · 2020Article
- Article
- Time Series Genome-Centric Analysis Unveils Bacterial Response to Operational Disturbance in Activated Sludge.mSystems · 2019Article
- Substrate inhibition imposes fitness penalty at high protein stability.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Lag Phase Is a Dynamic, Organized, Adaptive, and Evolvable Period That Prepares Bacteria for Cell Division.Journal of bacteriology · 2019Review
- Niche-specific metabolic adaptation in biotrophic and necrotrophic oomycetes is manifested in differential use of nutrients, variation in gene content, and enzyme evolution.PLoS pathogens · 2019Article
- Stochastic protein multimerization, activity, and fitness.Physical review. E · 2018Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 2 countries.
Funding
Abstract
Mutations provide the variation that drives evolution, yet their effects on fitness remain poorly understood. Here we explore how mutations in the essential enzyme adenylate kinase (Adk) of Escherichia coli affect multiple phases of population growth. We introduce a biophysical fitness landscape for these phases, showing how they depend on molecular and cellular properties of Adk. We find that Adk catalytic capacity in the cell (the product of activity and abundance) is the major determinant of mutational fitness effects. We show that bacterial lag times are at a well-defined optimum with respect to Adk's catalytic capacity, while exponential growth rates are only weakly affected by variation in Adk. Direct pairwise competitions between strains show how environmental conditions modulate the outcome of a competition where growth rates and lag times have a tradeoff, shedding light on the multidimensional nature of fitness and its importance in the evolutionary optimization of enzymes.
Identifiers
What OpenQuestion holds
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.