ArticlePhysical biology2018
Ergodicity, hidden bias and the growth rate gain.
Article in Physical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Extremal events dictate population growth rate inference.PLoS computational biology · 2026Article
- Non-ergodicity in ecology and evolution.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Ecological determinants of altruism in prokaryote antivirus defense.Biology direct · 2025Article
- Ecological determinants of altruism in prokaryote antivirus defense.Research square · 2025Article
- 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
- First-passage-time statistics of growing microbial populations carry an imprint of initial conditions.Scientific reports · 2023Article
- Unicellular life balances asymmetric allocation and repair of somatic damage representing the origin of r/K selection.bioRxiv : the preprint server for biology · 2023Article
- Article
- Host age structure reshapes parasite symbiosis: collaboration begets pathogens, competition begets virulent mutualists.Biology direct · 2022Article
- Bacterial cell proliferation: from molecules to cells.FEMS microbiology reviews · 2021Review
- Prolonged culture in aerobic environments altersEngineering reports : open access · 2020Article
- YAP and TAZ regulate cell volume.The Journal of cell biology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Many single-cell observables are highly heterogeneous. A part of this heterogeneity stems from age-related phenomena: the fact that there is a nonuniform distribution of cells with different ages. This has led to a renewed interest in analytic methodologies including use of the 'von Foerster equation' for predicting population growth and cell age distributions. Here we discuss how some of the most popular implementations of this machinery assume a strong condition on the ergodicity of the cell cycle duration ensemble. We show that one common definition for the term ergodicity, 'a single individual observed over many generations recapitulates the behavior of the entire ensemble' is implied by the other, 'the probability of observing any state is conserved across time and over all individuals' in an ensemble with a fixed number of individuals but that this is not true when the ensemble is growing. We further explore the impact of generational correlations between cell cycle durations on the population growth rate. Finally, we explore the 'growth rate gain'-the phenomenon that variations in the cell cycle duration leads to an improved population-level growth rate-in this context. We highlight that, fundamentally, this effect is due to asymmetric division.
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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.