Evidence map›Paper›PMID 29854953›Full record

ArticlemSystems

Environmental Sources of Bacteria Differentially Influence Host-Associated Microbial Dynamics.

Cesar Cardona, Simon Lax, Peter Larsen, Brent Stephens, Jarrad Hampton-Marcell, Christian F Edwardson, Chris Henry, Bill Van Bonn, Jack A Gilbert

Abstract read
In one paragraph

Article in mSystems. 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. Article
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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

9 authors.

Cesar CardonaGraduate Program in Biophysical Sciences, University of Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-6010-9468
Simon LaxDepartment of Ecology and Evolution, University of Chicago, Chicago, Illinois, USA.
Peter LarsenMathematics and Computer Science, Argonne National Laboratory, Argonne, Illinois, USA.
Brent StephensDepartment of Civil, Architectural and Environmental Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.
Jarrad Hampton-MarcellBiosciences Division, Argonne National Laboratory, Argonne, Illinois, USA.
Christian F EdwardsonAquarium Microbiome Project, A. Watson Armour III Center for Animal Health and Welfare, John G. Shedd Aquarium, Chicago, Illinois, USA.
Chris HenryMathematics and Computer Science, Argonne National Laboratory, Argonne, Illinois, USA.
Bill Van BonnAquarium Microbiome Project, A. Watson Armour III Center for Animal Health and Welfare, John G. Shedd Aquarium, Chicago, Illinois, USA.
Jack A GilbertBiosciences Division, Argonne National Laboratory, Argonne, Illinois, USA.

Funding

ULTRASTRUCTURE AND CYTOMORPHOLOGY COREP30DK042086 · NIDDK · UNIVERSITY OF CHICAGO · PI LIU, CAMBRIAN YANGSHAO · 1990 to 2025
$29.8M
Graduate Program in Biophysical Sciences at the University of Chicago - Renewal 0T32EB009412 · NIBIB · UNIVERSITY OF CHICAGO · PI ENGEL, GREGORY S, SOSNICK, TOBIN R · 2009 to 2023
$4.9M
NIBIB NIH HHS T32 EB009412NIDDK NIH HHS P30 DK042086
6 · The paper itself

Abstract

Host-associated microbial dynamics are influenced by dietary and immune factors, but how exogenous microbial exposure shapes host-microbe dynamics remains poorly characterized. To investigate this phenomenon, we characterized the skin, rectum, and respiratory tract-associated microbiota in four aquarium-housed dolphins daily over a period of 6 weeks, including administration of a probiotic during weeks 4 to 6. The environmental bacterial sources were also characterized, including the animals' human handlers, the aquarium air and water, and the dolphins' food supply. Continuous microbial exposure occurred between all sites, yet each environment maintained a characteristic microbiota, suggesting that the majority of exposure events do not result in colonization. Small changes in water physicochemistry had a significant but weak correlation with change in dolphin-associated bacterial richness but had no influence on phylogenetic diversity. Food and air microbiota were the richest and had the largest conditional influence on other microbiota in the absence of probiotics, but during probiotic administration, food alone had the largest influence on the stability of the dolphin microbiota. Our results suggest that respiratory tract and gastrointestinal epithelium interactions with air- and food-associated microbes had the biggest influence on host-microbiota dynamics, while other interactions, such as skin transmission, played only a minor role. Finally, direct oral stimulation with a foreign exogenous microbial source can have a profound effect on microbial stability.

Indexed as

dolphin microbiomeenvironmental interactionshost microbiomemicrobial ecologymicrobial stabilityprobiotics

Identifiers

PMID29854953
PMCPMC5974334

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.