Evidence map›Paper›PMID 41363448›Full record

ArticlemBio2026

Population heterogeneity revealed in morphometric analysis of densely populated microbial swarm collectives.

Eliotte E Garling, Shally Li, Kristin Ho, Karine A Gibbs

Abstract read
In one paragraph

Article in mBio, 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

4 authors.

Eliotte E GarlingDepartment of Plant & Microbial Biology, University of California, Berkeley, California, USA.
Shally LiDepartment of Plant & Microbial Biology, University of California, Berkeley, California, USA.
Kristin HoDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA.
Karine A GibbsDepartment of Plant & Microbial Biology, University of California, Berkeley, California, USA.ORCID 0000-0002-1246-6401

Funding

Genetic Dissection of Cells and Organisms Training ProgramT32GM132022 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Nicole King, NOAH K WHITEMAN · 2019 to 2026
$5.2M
Joint Program in Molecules, Cells, and OrganismsT32GM135143 · NIGMS · HARVARD UNIVERSITY · PI D'SOUZA, VICTORIA MANUEL · 2020 to 2024
$3.2M
Alfred P. Sloan Foundation G-2022-19509National Science Foundation Graduate Research FellowshipNIGMS NIH HHS T32 GM132022NIGMS NIH HHS T32 GM135143
6 · The paper itself

Abstract

Uncovering cell morphology within communities is crucial to understanding how collective groups of organisms can function and adapt to their environments. Key questions remain regarding how cell morphology influences population behaviors and whether uniformity is required for coordinated actions, such as collective migration. These gaps hinder the ability to describe how individuals contribute to collective adaptability and coordinated behaviors. We developed an image capture and analysis pipeline, named Swarmetrics, for studying individual cells that are within dense bacterial communities, can participate in collective behaviors, and may have irregular cell morphologies. We used IMPORTANCE: Understanding how individual cell morphology shapes collective behavior is crucial for uncovering principles of organization across biological systems. We developed an image analysis pipeline, Swarmetrics, and revealed unexpected phenotypic heterogeneity among cells during bacterial collective migration. These results raise questions about the necessity and impact of uniformity-in shape and behaviors-during bacterial collective actions. Swarmetrics also opens the door for quantitative analysis of irregularly shaped cells in dense communities.

Indexed as

Proteus mirabilisImage Processing, Computer-Assisteddeep learningimage processingProteus mirabilisquantitative microscopysingle-cell analysisswarm motility

Identifiers

PMID41363448
PMCPMC12802311

What OpenQuestion holds

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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.