ArticleIntegrative biology : quantitative biosciences from nano to macro2016
To grow is not enough: impact of noise on cell environmental response and fitness.
Article in Integrative biology : quantitative biosciences from nano to macro, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed.
- Scaling of stochastic growth and division dynamics: A comparative study of individual rod-shaped cells in the Mother Machine and SChemostat platforms.Molecular biology of the cell · 2024Article
- Balance between asymmetric allocation and repair of somatic damage in unicellular life forms as an ancient form of r/K selection.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Unicellular life balances asymmetric allocation and repair of somatic damage representing the origin of r/K selection.bioRxiv : the preprint server for biology · 2023Article
- Molecular adaptations during viral epidemics.EMBO reports · 2022Review
- The correlation between cell and nucleus size is explained by an eukaryotic cell growth model.PLoS computational biology · 2022Article
- Single-cell stochastic modelling of the action of antimicrobial peptides on bacteria.Journal of the Royal Society, Interface · 2021Article
- Challenges of analysing stochastic gene expression in bacteria using single-cell time-lapse experiments.Essays in biochemistry · 2021Article
- Prolonged culture in aerobic environments altersEngineering reports : open access · 2020Article
- Theoretical investigation of stochastic clearance of bacteria: first-passage analysis.Journal of the Royal Society, Interface · 2019Article
- Ergodicity, hidden bias and the growth rate gain.Physical biology · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Quantitative single cell measurements have shown that cell cycle duration (the time between cell divisions) for diverse cell types is a noisy variable. The underlying distribution is mean scalable with a universal shape for many cell types in a variety of environments. Here we explore through both experiment and theory the response of these distributions to large environmental perturbations. In particular, we discuss how the stochasticity of the ensemble may be related to the response. Our findings show that slow growing, noisy populations are more adaptive than those which are fast growing. We suggest that even non-cooperative cells in exponential growth phase may not optimize fitness through growth rate alone, but also optimize adaptability to changing conditions. In this work, we wish to emphasize that in a manner similar to genetic evolution, noise in biochemical processes may be important to allow for cells to adapt to rapid to environmental changes.
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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.