ArticlePLoS computational biology2018
Noise propagation in an integrated model of bacterial gene expression and growth.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Resource allocation to cell envelopes and the scaling of bacterial growth rate.Physical biology · 2025Article
- Optimisation of gene expression noise for cellular persistence against lethal events.Journal of theoretical biology · 2025Article
- Effective bet-hedging through growth rate dependent stability.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Article
- Article
- The effect of natural selection on the propagation of protein expression noise to bacterial growth.PLoS computational biology · 2021Article
- Microbial metabolic noise.WIREs mechanisms of disease · 2021Review
- Predictive biology: modelling, understanding and harnessing microbial complexity.Nature reviews. Microbiology · 2020Review
- A bacterial size law revealed by a coarse-grained model of cell physiology.PLoS computational biology · 2020Article
- An analytical theory of balanced cellular growth.Nature communications · 2020Article
- Article
- Segregostat: a novel concept to control phenotypic diversification dynamics on the example of Gram-negative bacteria.Microbial biotechnology · 2019Article
- Sources, propagation and consequences of stochasticity in cellular growth.Nature communications · 2018Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In bacterial cells, gene expression, metabolism, and growth are highly interdependent and tightly coordinated. As a result, stochastic fluctuations in expression levels and instantaneous growth rate show intricate cross-correlations. These correlations are shaped by feedback loops, trade-offs and constraints acting at the cellular level; therefore a quantitative understanding requires an integrated approach. To that end, we here present a mathematical model describing a cell that contains multiple proteins that are each expressed stochastically and jointly limit the growth rate. Conversely, metabolism and growth affect protein synthesis and dilution. Thus, expression noise originating in one gene propagates to metabolism, growth, and the expression of all other genes. Nevertheless, under a small-noise approximation many statistical quantities can be calculated analytically. We identify several routes of noise propagation, illustrate their origins and scaling, and establish important connections between noise propagation and the field of metabolic control analysis. We then present a many-protein model containing >1000 proteins parameterized by previously measured abundance data and demonstrate that the predicted cross-correlations between gene expression and growth rate are in broad agreement with published measurements.
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