Evidence map›Paper›PMID 33947750›Full record

ArticlemBio2021

Immune Gene Expression Covaries with Gut Microbiome Composition in Stickleback.

Lauren E Fuess, Stijn den Haan, Fei Ling, Jesse N Weber, Natalie C Steinel, Daniel I Bolnick

Open access · goldAbstract read
In one paragraph

Article in mBio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

23 citing papers in PubMed, 33 citations in OpenAlex.

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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

6 authors at 5 institutions in 2 countries.

Lauren E FuessUniversity of Connecticut, Department of Ecology and Evolutionary Biology, Storrs, Connecticut, USA lfuess@txstate.edu.ORCID 0000-0003-0197-7326
Stijn den HaanCentral European University, Department of Environmental Sciences and Policy, Budapest, Hungary.
Fei LingCollege of Animal Science and Technology, Northwest A&F University, Yangling, People's Republic of China.
Jesse N WeberUniversity of Wisconsin-Madison, Department of Integrative Biology, Madison, Wisconsin, USA.
Natalie C SteinelUniversity of Massachusetts-Lowell, Department of Biological Sciences, Lowell, Massachusetts, USA.
Daniel I BolnickUniversity of Connecticut, Department of Ecology and Evolutionary Biology, Storrs, Connecticut, USA.
Northwest A&F University · CNTexas State University · USUniversity of Connecticut · USUniversity of Massachusetts Lowell · USUniversity of Wisconsin–Madison · US

Funding

Reciprocal genetics of recently-evolved vertebrate immunity and peritoneal helminth counter-adaptationR01AI123659 · NIAID · UNIVERSITY OF TEXAS AT AUSTIN · PI Daniel Imara Bolnick · 2017 to 2026
$3.8M
Howard Hughes Medical InstituteNIAID NIH HHS R01 AI123659
6 · The paper itself

Abstract

Commensal microbial communities have immense effects on their vertebrate hosts, contributing to a number of physiological functions, as well as host fitness. In particular, host immunity is strongly linked to microbiota composition through poorly understood bi-directional links. Gene expression may be a potential mediator of these links between microbial communities and host function. However, few studies have investigated connections between microbiota composition and expression of host immune genes in complex systems. Here, we leverage a large study of laboratory-raised fish from the species

Indexed as

Gastrointestinal MicrobiomeGene ExpressionHost Microbial InteractionsAnimalsBacteriaRNA, Ribosomal, 16SSmegmamorphaSymbiosisRNA, Ribosomal, 16Sanimal microbiomegut microbiomehost-microbe interactionsimmune-microbiome interactionsimmunitymicrobial communitiesmicrobiome

Identifiers

PMID33947750
PMCPMC8262870
OpenAlexW3157499913

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.