Evidence map›Paper›PMID 33531411›Full record

ArticlemSystems2021

Quantifying Variation in Bacterial Reproductive Fitness: a High-Throughput Method.

Pascal M Frey, Julian Baer, Judith Bergada-Pijuan, Conor Lawless, Philipp K Bühler, Roger D Kouyos, Katherine P Lemon, Annelies S Zinkernagel, Silvio D Brugger

Abstract read
In one paragraph

Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Bacterial skin colonization with a specificMicrobiology spectrum · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Limited Adaptation ofMicrobiology spectrum · 2023
    Article
  10. 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

9 authors.

Pascal M Frey *Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland pascal.frey@insel.ch silvio.brugger@usz.ch.ORCID https://orcid.org/0000-0001-6161-0919
Julian Baer *Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-1929-0338
Judith Bergada-Pijuan *Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-5516-0306
Conor LawlessTranslational and Clinical Research Institute, Medical School, Newcastle University, Newcastle upon Tyne, United Kingdom.
Philipp K BühlerInstitute for Intensive Care Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Roger D KouyosDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Katherine P LemonDepartment of Microbiology, The Forsyth Institute, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0003-1542-1679
Annelies S ZinkernagelDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-4700-1118
Silvio D BruggerDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland pascal.frey@insel.ch silvio.brugger@usz.ch.ORCID https://orcid.org/0000-0001-9492-9088

Funding

Impact of Commensal Corynebacterium Species on Pathogen Colonization and Microbiota CompositionR01GM117174 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI LEMON, KATHERINE PAIGE · 2016 to 2019
$1.5M
NIGMS NIH HHS R01 GM117174
6 · The paper itself

Abstract

To evaluate changes in reproductive fitness of bacteria, e.g., after acquisition of antimicrobial resistance, a low-cost high-throughput method to analyze bacterial growth on agar is desirable for broad usability. In our bacterial quantitative fitness analysis (BaQFA), arrayed cultures are spotted on agar and photographed sequentially while growing. These time-lapse images are analyzed using a purpose-built open-source software to derive normalized image intensity (NI) values for each culture spot. Subsequently, a Gompertz growth model is fitted to NI values, and fitness is calculated from model parameters. To represent a range of clinically important pathogenic bacteria, we used different strains of

Indexed as

antimicrobial resistancebacterial fitnessimage analysisquantitative fitness analysis

Identifiers

PMID33531411
PMCPMC7857537

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.