ArticleJournal of the Royal Society, Interface2019
Growing from a few cells: combined effects of initial stochasticity and cell-to-cell variability.
Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Habitat fragmentation enhances microbial collective defence.Journal of the Royal Society, Interface · 2025Article
- Droplet microfluidics for single-cell studies: a frontier in ecological understanding of microbiomes.FEMS microbiology reviews · 2025Review
- Impact of micro-habitat fragmentation on microbial population growth dynamics.The ISME journal · 2025Article
- Bacterial aggregation triggered by low-level antibiotic-mediated lysis.NPJ biofilms and microbiomes · 2024Article
- Measuring single-cell susceptibility to antibiotics within monoclonal bacterial populations.PloS one · 2024Article
- Droplet-based methodology for investigating bacterial population dynamics in response to phage exposure.Frontiers in microbiology · 2023Article
- Tracking the stochastic growth of bacterial populations in microfluidic droplets.Physical biology · 2022Article
- Fluctuation relations and fitness landscapes of growing cell populations.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The growth of a cell population from a large inoculum appears deterministic, although the division process is stochastic at the single-cell level. Microfluidic observations, however, display wide variations in the growth of small populations. Here we combine theory, simulations and experiments to explore the link between single-cell stochasticity and the growth of a population starting from a small number of individuals. The study yields descriptors of the probability distribution function (PDF) of the population size under three sources of stochasticity: cell-to-cell variability, uncertainty in the number of initial cells and generation-dependent division times. The PDF, rescaled to account for the exponential growth of the population, is found to converge to a stationary distribution. All moments of the PDF grow exponentially with the same growth rate, which depends solely on cell-to-cell variability. The shape of the PDF, however, contains the signature of all sources of stochasticity, and is dominated by the early stages of growth, and not by the cell-to-cell variability. Thus, probabilistic predictions of the growth of bacterial populations can be obtained with implications for both naturally occurring conditions and technological applications of single-cell microfluidics.
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