Evidence map›Paper›PMID 41477882›Full record

ReviewScience (New York, N.Y.)2026

Quantifying host-microbe interactions with bacterial lineage tracing.

Ian W Campbell, Karthik Hullahalli, Matthew K Waldor

Abstract readReview
In one paragraph

Review in Science (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

3 authors.

Ian W Campbell *Division of Infectious Diseases, Brigham and Women's Hospital, and Department of Microbiology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-3019-2560
Karthik Hullahalli *Division of Infectious Diseases, Brigham and Women's Hospital, and Department of Microbiology, Harvard Medical School, Boston, MA, USA.
Matthew K WaldorDivision of Infectious Diseases, Brigham and Women's Hospital, and Department of Microbiology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-1843-7000

Funding

Vibrio cholerae intestinal colonization and vaccine developmentR01AI042347 · NIAID · TUFTS UNIVERSITY BOSTON · PI WALDOR, MATTHEW K · 1998 to 2025
$7.3M
Howard Hughes Medical InstituteNIAID NIH HHS R01 AI042347
6 · The paper itself

Abstract

Using genomic barcodes to trace bacterial lineages within a host reveals previously unobservable dynamics of infection, including the impact of infection bottlenecks, routes of bacterial dissemination, and patterns of within-host evolution. Barcoding introduces trackable diversity to otherwise isogenic bacterial populations. Comparing the barcodes within an inoculum to those within the host quantifies the "founding population," which reveals the magnitude of population collapse caused by host bottlenecks. Furthermore, comparisons of the founders between tissues can reveal the patterns of pathogen dissemination. On longer timescales, the emergence of dominant barcoded lineages can also be used to detect within-host evolution. Collectively, barcoding studies quantify the hidden parameters that underlie bacterial colonization and create a quantitative framework for modeling and preventing infectious disease.

Indexed as

BacteriaBacterial InfectionsDNA Barcoding, TaxonomicHost-Pathogen InteractionsAnimalsHumans

Identifiers

PMID41477882
PMCPMC12854280

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.