Evidence map›Paper›PMID 31689582›Full record

ReviewCurrent opinion in microbiology2019

Timescales of gut microbiome dynamics.

Brandon H Schlomann, Raghuveer Parthasarathy

Abstract readReview
In one paragraph

Review in Current opinion in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Trial
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  5. Minimizing co-growth as a broad predictor of community robustness.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
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  8. Review
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  12. Article
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  19. Dynamic coexistence driven by physiological transitions in microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. 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

2 authors.

Brandon H SchlomannDepartment of Physics, Materials Science Institute, and Institute of Molecular Biology, University of Oregon, Eugene, OR, United States.
Raghuveer ParthasarathyDepartment of Physics, Materials Science Institute, and Institute of Molecular Biology, University of Oregon, Eugene, OR, United States. Electronic address: raghu@uoregon.edu.

Funding

Research Area IIIP50GM098911 · NIGMS · UNIVERSITY OF OREGON · PI CONERY, JOHN · 2012 to 2016
$9.8M
MOLECULAR BIOLOGY AND BIOPHYSICST32GM007759 · NIGMS · UNIVERSITY OF OREGON · PI NOLEN, BRADLEY J · 1985 to 2021
$8.5M
Live Imaging CoreP01GM125576 · NIGMS · UNIVERSITY OF OREGON · PI BOHANNAN, BRENDAN, EISEN, JUDITH S · 2018 to 2022
$7.8M
NIGMS NIH HHS P01 GM125576NIGMS NIH HHS P50 GM098911NIGMS NIH HHS T32 GM007759
6 · The paper itself

Abstract

Vast communities of microorganisms inhabit the gastrointestinal tracts of humans and other animals. Understanding their initial development, fluctuations in composition, stability over long times, and responses to transient perturbations - in other words their dynamics - is important both for gaining basic insights into these ecosystems and for rationally manipulating them for therapeutic ends. Gut microbiome dynamics, however, remain poorly understood. We review here studies of gut microbiome dynamics in the presence and absence of external perturbations, noting especially the long timescales associated with overall stability and the short timescales associated with various underlying biological processes. Integrating these disparate timescales, we suggest, is an important goal for future work and is necessary for developing a predictive understanding of microbiome dynamics.

Indexed as

Gastrointestinal MicrobiomeAnimalsHumansMiceModels, TheoreticalTime Factors

Identifiers

PMID31689582
PMCPMC6899164

What OpenQuestion holds

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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.