ArticlePLoS genetics2023
Beyond the average: An updated framework for understanding the relationship between cell growth, DNA replication, and division in a bacterial system.
Article in PLoS genetics, 2023. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 29 citations in OpenAlex.
- Evolutionary constraints on RNA polymerase gene positioning in the genome of fast-growing bacteria.Nucleic acids research · 2026Article
- Live tracking of replisomes reveals nutrient-dependent regulation of replication elongation rates in Caulobacter crescentus.Current biology : CB · 2025Article
- The design of unit cells by combining the self-reproduction systems and metabolic cushioning loads.Communications biology · 2025Article
- Single-cell data reveal heterogeneity of investment in ribosomes across a bacterial population.Nature communications · 2025Article
- Phenotypic heterogeneity follows a growth-viability tradeoff in response to amino acid identity.Nature communications · 2024Article
- 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
- The distinct cell physiology of Bradyrhizobium at the population and cellular level.BMC microbiology · 2024Article
- Coordination of cell division and chromosome segregation by iron and a sRNA inFrontiers in microbiology · 2024Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Our understanding of the bacterial cell cycle is framed largely by population-based experiments that focus on the behavior of idealized average cells. Most famously, the contributions of Cooper and Helmstetter help to contextualize the phenomenon of overlapping replication cycles observed in rapidly growing bacteria. Despite the undeniable value of these approaches, their necessary reliance on the behavior of idealized average cells masks the stochasticity inherent in single-cell growth and physiology and limits their mechanistic value. To bridge this gap, we propose an updated and agnostic framework, informed by extant single-cell data, that quantitatively accounts for stochastic variations in single-cell dynamics and the impact of medium composition on cell growth and cell cycle progression. In this framework, stochastic timers sensitive to medium composition impact the relationship between cell cycle events, accounting for observed differences in the relationship between cell cycle events in slow- and fast-growing cells. We conclude with a roadmap for potential application of this framework to longstanding open questions in the bacterial cell cycle field.
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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.