Evidence map›Paper›PMID 33531080›Full record

ArticleMicrobiome2021

Japanese quail (Coturnix japonica) as a novel model to study the relationship between the avian microbiome and microbial endocrinology-based host-microbe interactions.

Joshua M Lyte, James Keane, Julia Eckenberger, Nicholas Anthony, Sandip Shrestha, Daya Marasini, Karrie M Daniels, Valentina Caputi, Annie M Donoghue, Mark Lyte

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 26 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

10 authors at 5 institutions in 2 countries.

Joshua M LytePoultry Production and Product Safety Research, Agricultural Research Service, United States Department of Agriculture, Fayetteville, AR, 72701, USA. joshua.lyte@usda.gov.ORCID 0000-0002-1679-6854
James Keane *Department of Computer Science, Cork Institute of Technology, Cork, Ireland.
Julia Eckenberger *APC Microbiome Ireland, University College Cork, Cork, Ireland.
Nicholas AnthonyDepartment of Poultry Science, University of Arkansas, Fayetteville, AR, 72701, USA.
Sandip ShresthaDepartment of Poultry Science, University of Arkansas, Fayetteville, AR, 72701, USA.
Daya MarasiniWeems Design Studio Inc., Suwanee, Georgia, USA/ Contractor to Centers for Disease control and Prevention, Atlanta, GA, 30333, USA.
Karrie M DanielsDepartment of Veterinary Microbiology and Preventive Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, 50011, USA.
Valentina CaputiAPC Microbiome Ireland, University College Cork, Cork, Ireland.
Annie M DonoghuePoultry Production and Product Safety Research, Agricultural Research Service, United States Department of Agriculture, Fayetteville, AR, 72701, USA.
Mark LyteDepartment of Veterinary Microbiology and Preventive Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, 50011, USA.
Agricultural Research Service · USIowa State University · USUniversity College Cork · IEUniversity of Arkansas at Fayetteville · USMunster Technological University · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicrobial endocrinology, which is the study of neuroendocrine-based interkingdom signaling, provides a causal mechanistic framework for understanding the bi-directional crosstalk between the host and microbiome, especially as regards the effect of stress on health and disease. The importance of the cecal microbiome in avian health is well-recognized, yet little is understood regarding the mechanisms underpinning the avian host-microbiome relationship. Neuroendocrine plasticity of avian tissues that are focal points of host-microbiome interaction, such as the gut and lung, has likewise received limited attention. Avian in vivo models that enable the study of the neuroendocrine dynamic between host and microbiome are needed. As such, we utilized Japanese quail (Coturnix japonica) that diverge in corticosterone response to stress to examine the relationship between stress-related neurochemical concentrations at sites of host-microbe interaction, such as the gut, and the cecal microbiome.

resultsOur results demonstrate that birds which contrast in corticosterone response to stress show profound separation in cecal microbial community structure as well as exhibit differences in tissue neurochemical concentrations and structural morphologies of the gut. Changes in neurochemicals known to be affected by the microbiome were also identified in tissues outside of the gut, suggesting a potential relationship in birds between the cecal microbiome and overall avian physiology.

conclusionsThe present study provides the first evidence that the structure of the avian cecal microbial community is shaped by selection pressure on the bird for neuroendocrine response to stress. Identification of unique region-dependent neurochemical changes in the intestinal tract following stress highlights environmental stressors as potential drivers of microbial endocrinology-based mechanisms of avian host-microbiome dialogue. Together, these results demonstrate that tissue neurochemical concentrations in the avian gut may be related to the cecal microbiome and reveal the Japanese quail as a novel avian model in which to further examine the mechanisms underpinning these relationships. Video abstract.

Indexed as

Host Microbial InteractionsAnimalsCecumCoturnixEndocrine SystemMaleMicrobiotaModels, BiologicalCorticosteroneGutJapanese quail (Coturnix japonica)LungMicrobial endocrinologyMicrobiomeMicrobiotaNeuroendocrinePoultryStress

Identifiers

PMID33531080
PMCPMC7856774
OpenAlexW3128496217

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.