Evidence map›Paper›PMID 38049502›Full record

ArticleScientific reports2023

First-passage-time statistics of growing microbial populations carry an imprint of initial conditions.

Eric W Jones, Joshua Derrick, Roger M Nisbet, William B Ludington, David A Sivak

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Non-ergodicity in ecology and evolution.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  7. A GeneralizedbioRxiv : the preprint server for biology · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Eric W JonesDepartment of Physics, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada. eric_jones_2@sfu.ca.
Joshua DerrickDepartment of Biological Sciences and Engineering, Carnegie Institution for Science, Baltimore, MD, 21218, USA.
Roger M NisbetDepartment of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, Santa Barbara, CA, 93106, USA.
William B LudingtonDepartment of Biological Sciences and Engineering, Carnegie Institution for Science, Baltimore, MD, 21218, USA.
David A SivakDepartment of Physics, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.

Funding

Canada Research Chairs CRC-2020-00098National Science Foundation IOS 2032985Natural Sciences and Engineering Research Council of Canada Banting Postdoctoral Fellowship,RGPIN-2020-04950Pacific Institute for the Mathematical Sciences Postdoctoral Fellowship
6 · The paper itself

Abstract

In exponential population growth, variability in the timing of individual division events and environmental factors (including stochastic inoculation) compound to produce variable growth trajectories. In several stochastic models of exponential growth we show power-law relationships that relate variability in the time required to reach a threshold population size to growth rate and inoculum size. Population-growth experiments in E. coli and S. aureus with inoculum sizes ranging between 1 and 100 are consistent with these relationships. We quantify how noise accumulates over time, finding that it encodes-and can be used to deduce-information about the early growth rate of a population.

Indexed as

Escherichia coliStaphylococcus aureusModels, BiologicalPopulation DensityStochastic Processes

Identifiers

PMID38049502
PMCPMC10696051

What OpenQuestion holds

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Registered trials

None linked

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.