ArticleNature communications2021
Pareto optimality between growth-rate and lag-time couples metabolic noise to phenotypic heterogeneity in Escherichia coli.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 26 citations in OpenAlex.
- Phenotypic heterogeneity in the human gut microbiome revealed by subspecies-resolution single-cell transcriptomics.bioRxiv : the preprint server for biology · 2026Article
- Understanding the role of pyruvate dehydrogenase inInfection and immunity · 2026Article
- Rapid growth phenotype of carbapenem-resistant Enterobacter cloacae: growth fitness, stability, and mechanistic insights.BMC genomics · 2026Article
- Phenotypic heterogeneity in lag reflects an evolutionarily stable bet-hedging strategy.bioRxiv : the preprint server for biology · 2025Article
- Congruence between noise and plasticity in protein expression.Scientific reports · 2025Article
- Investigating the impact of meteorological parameters on daily soil temperature changes using machine learning models.Scientific reports · 2025Article
- Single-cell patterning and characterisation of antibiotic persistent bacteria using bio-sCAPA.Lab on a chip · 2023Article
- Advances in linking single-cell bacterial stress response to population-level survival.Current opinion in biotechnology · 2023Review
- Antibiotic Tolerance Indicative of Persistence Is Pervasive among Clinical Streptococcus pneumoniae Isolates and Shows Strong Condition Dependence.Microbiology spectrum · 2022Article
- Intercellular interaction mechanisms promote diversity in intracellular ATP concentration in Escherichia coli populations.Scientific reports · 2022Article
- Dynamic gene expression and growth underlie cell-to-cell heterogeneity inProceedings of the National Academy of Sciences of the United States of America · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite mounting evidence that in clonal bacterial populations, phenotypic variability originates from stochasticity in gene expression, little is known about noise-shaping evolutionary forces and how expression noise translates to phenotypic differences. Here we developed a high-throughput assay that uses a redox-sensitive dye to couple growth of thousands of bacterial colonies to their respiratory activity and show that in Escherichia coli, noisy regulation of lower glycolysis and citric acid cycle is responsible for large variations in respiratory metabolism. We found that these variations are Pareto optimal to maximization of growth rate and minimization of lag time, two objectives competing between fermentative and respiratory metabolism. Metabolome-based analysis revealed the role of respiratory metabolism in preventing the accumulation of toxic intermediates of branched chain amino acid biosynthesis, thereby supporting early onset of cell growth after carbon starvation. We propose that optimal metabolic tradeoffs play a key role in shaping and preserving phenotypic heterogeneity and adaptation to fluctuating environments.
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