Evidence map›Paper›PMID 26419876›Full record

ArticlemBio2015

Ontogenetic Differences in Dietary Fat Influence Microbiota Assembly in the Zebrafish Gut.

Sandi Wong, W Zac Stephens, Adam R Burns, Keaton Stagaman, Lawrence A David, Brendan J M Bohannan, Karen Guillemin, John F Rawls

Open access · goldAbstract read
In one paragraph

Article in mBio, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

65 citing papers in PubMed, 1 synthesis or guideline pooled it, 138 citations in OpenAlex.

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5 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 1 country.

Sandi WongDepartment of Molecular Genetics and Microbiology, Duke University, Durham, North Carolina, USA Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
W Zac StephensInstitute of Molecular Biology, University of Oregon, Eugene, Oregon, USA.ORCID http://orcid.org/0000-0002-8072-9023
Adam R BurnsInstitute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA.
Keaton StagamanInstitute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA.
Lawrence A DavidDepartment of Molecular Genetics and Microbiology, Duke University, Durham, North Carolina, USA.
Brendan J M BohannanInstitute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA.
Karen GuilleminInstitute of Molecular Biology, University of Oregon, Eugene, Oregon, USA.
John F RawlsDepartment of Molecular Genetics and Microbiology, Duke University, Durham, North Carolina, USA Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA john.rawls@duke.edu.
University of Oregon · USUniversity of North Carolina at Chapel Hill · USDuke University · US

Funding

Research Area IIIP50GM098911 · NIGMS · UNIVERSITY OF OREGON · PI PARTHASARATHY, RAGHUVEER · 2012 to 2016
$9.8M
Microbial Ecology of the Zebrafish IntestineR01GM095385 · NIGMS · UNIVERSITY OF OREGON · PI BOHANNAN, BRENDAN, GUILLEMIN, KAREN J · 2011 to 2014
$1.4M
NIGMS NIH HHS P50 GM098911NIGMS NIH HHS P50-GM098911NIGMS NIH HHS R01 GM095385NIGMS NIH HHS R01-GM095385
6 · The paper itself

Abstract

unlabelledGut microbiota influence the development and physiology of their animal hosts, and these effects are determined in part by the composition of these microbial communities. Gut microbiota composition can be affected by introduction of microbes from the environment, changes in the gut habitat during development, and acute dietary alterations. However, little is known about the relationship between gut and environmental microbiotas or about how host development and dietary differences during development impact the assembly of gut microbiota. We sought to explore these relationships using zebrafish, an ideal model because they are constantly immersed in a defined environment and can be fed the same diet for their entire lives. We conducted a cross-sectional study in zebrafish raised on a high-fat, control, or low-fat diet and used bacterial 16S rRNA gene sequencing to survey microbial communities in the gut and external environment at different developmental ages. Gut and environmental microbiota compositions rapidly diverged following the initiation of feeding and became increasingly different as zebrafish grew under conditions of a constant diet. Different dietary fat levels were associated with distinct gut microbiota compositions at different ages. In addition to alterations in individual bacterial taxa, we identified putative assemblages of bacterial lineages that covaried in abundance as a function of age, diet, and location. These results reveal dynamic relationships between dietary fat levels and the microbial communities residing in the intestine and the surrounding environment during ontogenesis. IMPORTANCE: The ability of gut microbiota to influence host health is determined in part by their composition. However, little is known about the relationship between gut and environmental microbiotas or about how ontogenetic differences in dietary fat impact gut microbiota composition. We addressed these gaps in knowledge using zebrafish, an ideal model organism because their environment can be thoroughly sampled and they can be fed the same diet for their entire lives. We found that microbial communities in the gut changed as zebrafish aged under conditions of a constant diet and became increasingly different from microbial communities in their surrounding environment. Further, we observed that the amount of fat in the diet had distinct age-specific effects on gut community assembly. These results reveal the complex relationships between microbial communities residing in the intestine and those in the surrounding environment and show that these relationships are shaped by dietary fat throughout the life of animal hosts.

Indexed as

Dietary FatsAnimalsCluster AnalysisCross-Sectional StudiesDNA, RibosomalGastrointestinal MicrobiomeGastrointestinal TractMolecular Sequence DataPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNAZebrafishDietary FatsDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID26419876
PMCPMC4611033
OpenAlexW2130404740

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.