Evidence map›Paper›PMID 31270175›Full record

ArticlemSphere2019

Component Microenvironments and System Biogeography Structure Microorganism Distributions in Recirculating Aquaculture and Aquaponic Systems.

Ryan P Bartelme, Matthew C Smith, Osvaldo J Sepulveda-Villet, Ryan J Newton

Abstract read
In one paragraph

Article in mSphere, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Ryan P BartelmeSchool of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.ORCID 0000-0002-6178-2603
Matthew C SmithSchool of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
Osvaldo J Sepulveda-VilletSchool of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
Ryan J NewtonSchool of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA newtonr@uwm.edu.ORCID 0000-0001-8946-0035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flowthrough and pond aquaculture system microbiome management practices aim to mitigate fish disease and stress. However, the operational success of recirculating aquaculture systems (RAS) depends directly on system microbial community activities. In RAS, each component environment is engineered for a specific microbial niche for waste management, as the water continuously flowing through the system must be processed before returning to the rearing tank. In this study, we compared waste management component microbiomes (rearing tank water, pH correction tank, solid-waste clarifier, biofilter, and degassing tower) within a commercial-scale freshwater RAS by high-throughput 16S rRNA gene sequencing. To assess consistency among freshwater RAS microbiomes, we also compared the microbial community compositions of six aquaculture and aquaponic farms. Community assemblages reflected site and source water relationships, and the presence of a hydroponic subsystem was a major community determinant. In contrast to the facility-specific community composition, some sequence variants, mainly classified into

Indexed as

MicrobiotaAquacultureArchaeaBacteriaFresh WaterHigh-Throughput Nucleotide SequencingHydroponicsRNA, Ribosomal, 16SRNA, Ribosomal, 16Sammonia-oxidizing ArchaeaaquaponicsbiofiltercomammoxFlavobacteriummicrobial community compositionnitrifiersNitrospirarecirculating aquaculture system

Identifiers

PMID31270175
PMCPMC6609224

What OpenQuestion holds

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LicenceCC BY
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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.