Evidence map›Paper›PMID 40172195›Full record

ArticlemBio2025

Modeling heterogeneity, commitment, and memory of bacterial spore germination.

William Li, Steven Mednick, Peter Setlow, Yong-Qing Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in mBio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

William LiMarshall School of Business, University of Southern California, Los Angeles, California, USA.
Steven MednickMarshall School of Business, University of Southern California, Los Angeles, California, USA.
Peter SetlowDepartment of Molecular Biology and Biophysics, UConn Health, Farmington, Connecticut, USA.ORCID 0000-0003-3119-2669
Yong-Qing LiDepartment of Physics, East Carolina University, Greenville, North Carolina, USA.ORCID 0000-0001-9476-0737

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spores of bacteria are metabolically dormant, resistant to microbicides, and vectors of food spoilage and diseases and survive for years in their dormant state. Upon exposure to nutrient germinants, spores can rapidly return to life through germination, losing their resistance and becoming easy to kill. Despite extensive research on germination heterogeneity, commitment, and memory, many mechanisms underlying germination of Bacillota spores remain unclear, as a comprehensive mathematical model describing germination characteristics of individual spores is lacking. Woese et al. (PNAS, 59:869, 1968) developed a simple model predicting that time-to-germination of a spore with

Indexed as

Models, BiologicalSpores, BacterialNeural Networks, Computerbacterial sporecellular heterogeneitymathematical modelingspore germinationspore memory

Identifiers

PMID40172195
PMCPMC12077093

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.