Evidence map›Paper›PMID 41535283›Full record

ArticleNature communications2026

In situ visualization of Clostridioides difficile phenotypic heterogeneity and single-cell morphology during gut infection.

Nicholas V DiBenedetto, M Lauren Donnelly-Morell, Carol A Kumamoto, Aimee Shen

Abstract read
In one paragraph

Article in Nature communications, 2026. 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. A programmed reset mechanism primesScience advances · 2026
    Article
  2. Phase variable colony morphotypes ofInfection and immunity · 2026
    Article
  3. bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. International journal of microbiology · 2026
    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.

Nicholas V DiBenedettoDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA, USA.ORCID http://orcid.org/0000-0002-4043-9881
M Lauren Donnelly-MorellDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA, USA.ORCID http://orcid.org/0000-0003-0660-5433
Carol A KumamotoDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA, USA.
Aimee ShenDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA, USA. aimee.shen@tufts.edu.ORCID http://orcid.org/0000-0002-9786-5742

Funding

STRUCTURE-FUNCTION RELATIONSHIPS IN THE ALIMENTARY TRACTP30DK034854 · NIDDK · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI JONATHAN C KAGAN · 1986 to 2026
$32.4M
MOLECULAR ANALYSIS OF MICROBIAL PATHOGENST32AI007422 · NIAID · TUFTS UNIVERSITY BOSTON · PI Ralph R. Isberg · 1992 to 2026
$5.7M
Spore Assembly in Clostridium DifficileR01AI122232 · NIAID · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SHEN, AIMEE · 2016 to 2025
$4.2M
Cell Division in ClostridioidesdifficileR37AI122232 · NIAID · TUFTS UNIVERSITY BOSTON · PI Aimee Shen · 2026 to 2026
$509k
Analyzing the Biogeography of Virulence and Transmission Gene Expression during Clostridioides difficile infectionR21AI168849 · NIAID · TUFTS UNIVERSITY BOSTON · PI KUMAMOTO, CAROL A., SHEN, AIMEE · 2022 to 2023
$446k
Effect of epithelium association and toxin gene expression on Clostridioides difficile disease severityF31AI191587 · NIAID · TUFTS UNIVERSITY BOSTON · PI Nicholas Vincent DiBenedetto · 2025 to 2026
$92k
Burroughs Wellcome Fund (BWF) Investigators in the Pathogenesis of DiseaseDivision of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID) F31AI191587Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID) R21AI168849NIAID NIH HHS F31 AI191587NIAID NIH HHS R01 AI122232NIAID NIH HHS R21 AI168849NIAID NIH HHS R37 AI122232NIAID NIH HHS T32 AI007422NIDDK NIH HHS P30 DK034854
6 · The paper itself

Abstract

Phenotypic heterogeneity refers to the ability of clonal populations of the same species to display distinct phenotypes despite experiencing the same environment. Bacteria exhibit phenotypic heterogeneity across diverse cellular processes, which can provide competitive fitness advantages both within the host and against surrounding microbiota. However, visualizing phenotypic heterogeneity at single-cell resolution within dense microbial communities is technically challenging. Here, we present a method for visualizing this heterogeneity by combining spectrally compatible reporters to track the spatial distribution of gene expression in individual bacterial cells in the mammalian gut. Using toxin gene expression in Clostridioides difficile as a model for visualizing phenotypic heterogeneity, we demonstrate that, while C. difficile primarily occupies the lumen, a subpopulation of C. difficile associates with the colonic epithelium independent of toxin production. We further show that heterogeneity in C. difficile toxin gene expression is independent of location in the gut and that a toxin gene overexpressing mutant unexpectedly forms filamentous cells during the acute phase of infection. Thus, our reporter system provides quantitative, single-cell resolution of bacterial behavior within the intact gut environment and establishes a broadly applicable platform for investigating phenotypic heterogeneity in dense microbial communities.

Indexed as

Clostridioides difficileClostridium InfectionsSingle-Cell AnalysisAnimalsBacterial ProteinsBacterial ToxinsColonGene Expression Regulation, BacterialIntestinal MucosaMicePhenotypeSingle-Cell Gene Expression AnalysisBacterial ProteinsBacterial Toxins

Identifiers

PMID41535283
PMCPMC12913805

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.