Evidence map›Paper›PMID 28319121›Full record

ArticlePloS one2017

Growth-altering microbial interactions are responsive to chemical context.

Angela Liu, Anne M Archer, Matthew B Biggs, Jason A Papin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Establishment of anmSystems · 2026
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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 at 1 institution in 1 country.

Angela LiuDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States of America.
Anne M ArcherDepartment of Biology, University of Virginia, Charlottesville, Virginia, United States of America.
Matthew B BiggsDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States of America.ORCID http://orcid.org/0000-0001-6492-8180
Jason A PapinDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States of America.ORCID http://orcid.org/0000-0002-2769-5805
University of Virginia · US

Funding

Mapping and predicting metabolic fluxes between the ileal microbiome and hostR01GM108501 · NIGMS · UNIVERSITY OF VIRGINIA · PI PAPIN, JASON · 2014 to 2017
$1.4M
NIGMS NIH HHS R01 GM108501
6 · The paper itself

Abstract

Microbial interactions are ubiquitous in nature, and are equally as relevant to human wellbeing as the identities of the interacting microbes. However, microbial interactions are difficult to measure and characterize. Furthermore, there is growing evidence that they are not fixed, but dependent on environmental context. We present a novel workflow for inferring microbial interactions that integrates semi-automated image analysis with a colony stamping mechanism, with the overall effect of improving throughput and reproducibility of colony interaction assays. We apply our approach to infer interactions among bacterial species associated with the normal lung microbiome, and how those interactions are altered by the presence of benzo[a]pyrene, a carcinogenic compound found in cigarettes. We found that the presence of this single compound changed the interaction network, demonstrating that microbial interactions are indeed dynamic and responsive to local chemical context.

Indexed as

Benzo(a)pyreneBenzopyrenesCarcinogensCell Culture TechniquesElectronic Data ProcessingHaemophilusHumansImage Processing, Computer-AssistedLungMicrobial InteractionsMicrobiotaMicroscopyPseudomonas aeruginosaStaphylococcus aureusBenzo(a)pyreneBenzopyrenesCarcinogens

Identifiers

PMID28319121
PMCPMC5358735
OpenAlexW2599077901

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.