Evidence map›Paper›PMID 41714763›Full record

ArticleScientific reports2026

Inferring bacterial cell size dynamics across media conditions.

César Nieto, Claudia Igler, Abhyudai Singh

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

César Nieto *Department of Electrical and Computer Engineering, University of Delaware, Newark, 19716, USA. cnieto@udel.edu.
Claudia Igler *Institute of Integrative Biology, Zurich, Switzerland.
Abhyudai SinghDepartment of Electrical and Computer Engineering, University of Delaware, Newark, 19716, USA. absingh@udel.edu.

Funding

Generalized fluctuation test for deciphering phenotypic switching within cell populationsR35GM148351 · NIGMS · UNIVERSITY OF DELAWARE · PI Abhyudai Singh · 2023 to 2026
$1.6M
NIGMS NIH HHS R35 GM148351NIGMS NIH HHS R35GM148351Wellcome Trust 225565/Z/22/Z
6 · The paper itself

Abstract

Under stable growth conditions, bacteria maintain cell size homeostasis through coordinated elongation and division. Changes in nutrient availability perturb these mechanisms, resulting in dynamic regulation of the target cell size. Using microscopy imaging and mathematical modeling, we studied how bacterial cell volume changes over the population growth curve and found that Escherichia coli and Salmonella enterica, in stationary phase, exhibit similar cell volume distributions irrespective of growth media. Resuspending cells in rich media resulted in a transient increase in cell volume to a media-dependent maximum cell volume after ≈ 2h before decreasing to the stationary phase cell size. Interestingly, stabilizing the growth phase through continuous fresh media supply sustained the size distribution. In poor media conditions, cell volume changed minimally over the growth curve, but cell width was markedly decreased. This cell volume dynamics along the growth curve can be related to a similar increase and decrease dynamics of the ratio between cell density ([Formula: see text]) and cell numbers (CFU). We developed a simple mathematical modeling framework that predicted a time-varying division rate needed to capture the dynamics of the mean cell size across media conditions. The proposed analysis can be used for comparison of cell size regulation mechanisms across dynamic environments when single-cell tracking is not possible.

Indexed as

Culture MediaEscherichia coliSalmonella entericaCell DivisionCell SizeModels, BiologicalModels, TheoreticalCulture Media

Identifiers

PMID41714763
PMCPMC13018629

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.