Evidence map›Paper›PMID 31363014›Full record

ArticlemSystems2019

Experimental Microbiomes: Models Not to Scale.

Marc G Chevrette, Jennifer R Bratburd, Cameron R Currie, Reed M Stubbendieck

Abstract read
In one paragraph

Article in mSystems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Mitigation ofApplied and environmental microbiology · 2024
    Article
  4. Review
  5. Article
  6. Microbiome composition modulates secondary metabolism in a multispecies bacterial community.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Microbial model communities: To understand complexity, harness the power of simplicity.Computational and structural biotechnology journal · 2020
    Review
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.

Marc G Chevrette *Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0002-7209-0717
Jennifer R Bratburd *Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0001-5787-1470
Cameron R CurrieDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Reed M StubbendieckDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA stubbendieck@wisc.edu.ORCID https://orcid.org/0000-0003-1507-3272

Funding

Research Training for Computation and Informatics in Biology and MedicineT15LM007359 · NLM · UNIVERSITY OF WISCONSIN-MADISON · PI Mark W. Craven, Colin Noel Dewey · 2002 to 2026
$22.6M
WATER DISTRIB:PHYSICAL PROPERT:PIZZA &LMPS MOZZARELLA CHEESES:EARLY STAGE MATURP41RR002301 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI MARKLEY, JOHN LUTE · 1985 to 2011
$13.0M
Chemistry-Biology Interface Training ProgramT32GM008505 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BLACKWELL, HELEN E. · 1993 to 2023
$9.8M
Microbial Pathogenesis &Host Responses Training ProgramT32AI055397 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI KLEIN, BRUCE STEVEN · 2003 to 2024
$5.5M
Novel therapeutic agents from the bacterial symbionts of Brazilian invertebratesU19TW009872 · FIC · HARVARD MEDICAL SCHOOL · PI CLARDY, JON, PUPO, MONICA T · 2014 to 2018
$4.4M
FIC NIH HHS U19 TW009872NCRR NIH HHS P41 RR002301NIAID NIH HHS T32 AI055397NIGMS NIH HHS T32 GM008505NLM NIH HHS T15 LM007359
6 · The paper itself

Abstract

Low-cost, high-throughput nucleic acid sequencing ushered the field of microbial ecology into a new era in which the microbial composition of nearly every conceivable environment on the planet is under examination. However, static "screenshots" derived from sequence-only approaches belie the underlying complexity of the microbe-microbe and microbe-host interactions occurring within these systems. Reductionist experimental models are essential to identify the microbes involved in interactions and to characterize the molecular mechanisms that manifest as complex host and environmental phenomena. Herein, we focus on three models (

Indexed as

interactionsmicrobial communitiesmicrobiomemodel systems

Identifiers

PMID31363014
PMCPMC6667727

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.