ArticleProceedings of the National Academy of Sciences of the United States of America2015
Bacterial growth laws reflect the evolutionary importance of energy efficiency.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 1 of them a synthesis that pooled it.
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Who cites it
93 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effects of immune challenge on expression of life-history and immune trait expression in sexually reproducing metazoans-a meta-analysis.BMC biology · 2020Pooled it
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- Demand-only energetics at 120 ATP per glucose: A reply to Lynch.Biochimica et biophysica acta. Bioenergetics · 2026Article
- Growth dynamics of 3,909 Escherichia coli single-gene knockouts in rich and minimal media.Scientific data · 2026Article
- A novel stationary phase approach for improved recombinant protein expression in Escherichia coli: beyond the exponential phase.Microbial cell factories · 2026Article
- Application of the Ninhydrin Reaction for Quantification of Total Protein Contents: Establishment of Conversion Formulas.Analytical chemistry · 2026Article
- Time Series Data Mining for Linking the Shape of Bacterial Growth Curves to Biological Functions.Computational and structural biotechnology journal · 2026Article
- Evolutionary Flexibility of Ribosome Biogenesis in Bacteria.Molecular biology and evolution · 2025Article
- Experimental mapping of bacterial fitness landscapes reveals eco-evolutionary fingerprints.Scientific reports · 2025Article
- Population Dynamics of Escherichia coli Growing under Chemically Defined Media.Scientific data · 2025Article
- Building Spatiotemporal Understanding ofACS infectious diseases · 2025Review
- Metabolic rearrangement enables adaptation of microbial growth rate to temperature shifts.Nature microbiology · 2025Article
- Impact of fleQ Deficiency on Resource Allocation and Heterologous Gene Expression in Pseudomonas putida Across Various Growth Media.Microbial biotechnology · 2024Article
- Single-cell heterogeneity in ribosome content and the consequences for the growth laws.bioRxiv : the preprint server for biology · 2024Article
- Dimensional reduction and adaptation-development-evolution relation in evolved biological systems.Biophysical reviews · 2024Review
- How DoesACS synthetic biology · 2024Article
- Understanding stoichiometric constraints on growth using resource use efficiency imbalances.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Differential Selection for Translation Efficiency Shapes Translation Machineries in Bacterial Species.Microorganisms · 2024Article
- Effects of Contagious Respiratory Pathogens on Breath Biomarkers.Antioxidants (Basel, Switzerland) · 2024Article
- Self-reproduction and doubling time limits of different cellular subsystems.NPJ systems biology and applications · 2023Article
33 more citing papers are in PubMed but not listed here.
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2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We are interested in the balance of energy and protein synthesis in bacterial growth. How has evolution optimized this balance? We describe an analytical model that leverages extensive literature data on growth laws to infer the underlying fitness landscape and to draw inferences about what evolution has optimized in Escherichia coli. Is E. coli optimized for growth speed, energy efficiency, or some other property? Experimental data show that at its replication speed limit, E. coli produces about four mass equivalents of nonribosomal proteins for every mass equivalent of ribosomes. This ratio can be explained if the cell's fitness function is the the energy efficiency of cells under fast growth conditions, indicating a tradeoff between the high energy costs of ribosomes under fast growth and the high energy costs of turning over nonribosomal proteins under slow growth. This model gives insight into some of the complex nonlinear relationships between energy utilization and ribosomal and nonribosomal production as a function of cell growth conditions.
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