Evidence map›Paper›PMID 34353374›Full record

ArticleAnimal microbiome2021

Molecular and culture-based assessment of the microbiome in a zebrafish (Danio rerio) housing system during set-up and equilibration.

Aaron C Ericsson, Susheel B Busi, Daniel J Davis, Henda Nabli, David C Eckhoff, Rebecca A Dorfmeyer, Giedre Turner, Payton S Oswalt, Marcus J Crim, Elizabeth C Bryda

Open access · goldAbstract read
In one paragraph

Article in Animal microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Gut microbes · 2026
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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 3 institutions in 2 countries.

Aaron C EricssonDepartment of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA. ericssona@missouri.edu.ORCID http://orcid.org/0000-0002-3053-7269
Susheel B BusiSystems Ecology Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Daniel J DavisDepartment of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA.
Henda NabliDepartment of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA.
David C EckhoffIDEXX BioAnalytics, Columbia, MO, USA.
Rebecca A DorfmeyerDepartment of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA.
Giedre TurnerDepartment of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA.
Payton S OswaltDepartment of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA.
Marcus J CrimIDEXX BioAnalytics, Columbia, MO, USA.
Elizabeth C BrydaDepartment of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA. brydae@missouri.edu.
Missouri College · USIDEXX Laboratories (United States) · USUniversity of Luxembourg · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundZebrafish used in research settings are often housed in recirculating aquaculture systems (RAS) which rely on the system microbiome, typically enriched in a biofiltration substrate, to remove the harmful ammonia generated by fish via oxidation. Commercial RAS must be allowed to equilibrate following installation, before fish can be introduced. There is little information available regarding the bacterial community structure in commercial zebrafish housing systems, or the time-point at which the system or biofilter reaches a microbiological equilibrium in RAS in general.

methodsA zebrafish housing system was monitored at multiple different system sites including tank water in six different tanks, pre- and post-particulate filter water, the fluidized bed biofilter substrate, post-carbon filter water, and water leaving the ultra-violet (UV) disinfection unit and entering the tanks. All of these samples were collected in quadruplicate, from prior to population of the system with zebrafish through 18 weeks post-population, and analyzed using both 16S rRNA amplicon sequencing and culture using multiple agars and annotation of isolates via matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) mass spectrometry. Sequencing data were analyzed using traditional methods, network analyses of longitudinal data, and integration of culture and sequence data.

resultsThe water microbiome, dominated by Cutibacterium and Staphylococcus spp., reached a relatively stable richness and composition by approximately three to four weeks post-population, but continued to evolve in composition throughout the study duration. The microbiomes of the fluidized bed biofilter and water leaving the UV disinfection unit were distinct from water at all other sites. Core taxa detected using molecular methods comprised 36 amplicon sequence variants, 15 of which represented Proteobacteria including multiple members of the families Burkholderiaceae and Sphingomonadaceae. Culture-based screening yielded 36 distinct isolates, and showed moderate agreement with sequencing data.

conclusionsThe microbiome of commercial RAS used for research zebrafish reaches a relatively stable state by four weeks post-population and would be expected to be suitable for experimental use following that time-point.

Indexed as

AquariumCultureDanio rerioHousingMicrobiomeMicrobiotaRecirculating aquaculture systemZebrafish

Identifiers

PMID34353374
PMCPMC8340428
OpenAlexW3188503632

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.