ArticleScientific reports2017
Statistics and simulation of growth of single bacterial cells: illustrations with B. subtilis and E. coli.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Recent advances and challenges in single cell protein (SCP) technologies for food and feed production.NPJ science of food · 2024Review
- Transcription-replication interactions reveal principles of bacterial genome regulation.Research square · 2023Article
- Dissociation kinetics of small-molecule inhibitors in Escherichia coli is coupled to physiological state of cells.Communications biology · 2023Article
- Collective behavior and self-organization in neural rosette morphogenesis.Frontiers in cell and developmental biology · 2023Review
- High-throughput determination of dry mass of single bacterial cells by ultrathin membrane resonators.Communications biology · 2022Article
- A fast method to evaluate in a combinatorial manner the synergistic effect of different biostimulants for promoting growth or tolerance against abiotic stress.Plant methods · 2022Article
- Article
- Bacterial age distribution in soil - Generational gaps in adjacent hot and cold spots.PLoS computational biology · 2022Article
- Spatiotemporal localization of proteins in mycobacteria.Cell reports · 2021Article
- Coordination of gene expression noise with cell size: analytical results for agent-based models of growing cell populations.Journal of the Royal Society, Interface · 2021Article
- Searching for principles of microbial physiology.FEMS microbiology reviews · 2020Review
- Segregostat: a novel concept to control phenotypic diversification dynamics on the example of Gram-negative bacteria.Microbial biotechnology · 2019Article
- A critical analysis of Powell's results on the interdivision time distribution.Scientific reports · 2019Article
- Intrinsic and extrinsic noise of gene expression in lineage trees.Scientific reports · 2019Article
- Impact of bacterial streamers on biofouling of microfluidic filtration systems.Biomicrofluidics · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The inherent stochasticity of molecular reactions prevents us from predicting the exact state of single-cells in a population. However, when a population grows at steady-state, the probability to observe a cell with particular combinations of properties is fixed. Here we validate and exploit existing theory on the statistics of single-cell growth in order to predict the probability of phenotypic characteristics such as cell-cycle times, volumes, accuracy of division and cell-age distributions, using real-time imaging data for Bacillus subtilis and Escherichia coli. Our results show that single-cell growth-statistics can accurately be predicted from a few basic measurements. These equations relate different phenotypic characteristics, and can therefore be used in consistency tests of experimental single-cell growth data and prediction of single-cell statistics. We also exploit these statistical relations in the development of a fast stochastic-simulation algorithm of single-cell growth and protein expression. This algorithm greatly reduces computational burden, by recovering the statistics of growing cell-populations from the simulation of only one of its lineages. Our approach is validated by comparison of simulations and experimental data. This work illustrates a methodology for the prediction, analysis and tests of consistency of single-cell growth and protein expression data from a few basic statistical principles.
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