Evidence map›Paper›PMID 30902849›Full record

ArticleApplied and environmental microbiology2019

Differentiation of Vegetative Cells into Spores: a Kinetic Model Applied to Bacillus subtilis.

Emilie Gauvry, Anne-Gabrielle Mathot, Olivier Couvert, Ivan Leguérinel, Matthieu Jules, Louis Coroller

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Process Analysis of Millet Bran Fermentation byFoods (Basel, Switzerland) · 2026
    Article
  3. Aerosolization AffectsMicroorganisms · 2025
    Article
  4. Article
  5. Review
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

6 authors.

Emilie GauvryUniv Brest, Laboratoire Universitaire de Biodiversité et Ecologie Microbienne, UMT ALTER'iX, Quimper, France.
Anne-Gabrielle MathotUniv Brest, Laboratoire Universitaire de Biodiversité et Ecologie Microbienne, UMT ALTER'iX, Quimper, France.
Olivier CouvertUniv Brest, Laboratoire Universitaire de Biodiversité et Ecologie Microbienne, UMT ALTER'iX, Quimper, France.
Ivan LeguérinelUniv Brest, Laboratoire Universitaire de Biodiversité et Ecologie Microbienne, UMT ALTER'iX, Quimper, France.
Matthieu JulesMicalis Institute, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.ORCID 0000-0003-0817-8949
Louis CorollerUniv Brest, Laboratoire Universitaire de Biodiversité et Ecologie Microbienne, UMT ALTER'iX, Quimper, France louis.coroller@univ-brest.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spore-forming bacteria are natural contaminants of food raw materials, and sporulation can occur in many environments from farm to fork. In order to characterize and to predict spore formation over time, we developed a model that describes both the kinetics of growth and the differentiation of vegetative cells into spores. The model is based on a classical growth model and enables description of the kinetics of sporulation with the addition of three parameters specific to sporulation. Two parameters are related to the probability of each vegetative cell to commit to sporulation and to form a spore, and the last one is related to the time needed to form a spore once the cell is committed to sporulation. The goodness of fit of this growth-sporulation model was assessed using growth-sporulation kinetics at various temperatures in laboratory medium or in whey for

Indexed as

Bacillus cereusBacillus licheniformisBacillus subtilisKineticsModels, BiologicalSpores, Bacterialcellular heterogeneitygrowth modelingSpore-forming bacteriasporulation

Identifiers

PMID30902849
PMCPMC6498160

What OpenQuestion holds

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Registered trials

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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.