Evidence map›Paper›PMID 28111573›Full record

ArticleFrontiers in microbiology2016

The Resistome of Farmed Fish Feces Contributes to the Enrichment of Antibiotic Resistance Genes in Sediments below Baltic Sea Fish Farms.

Windi I Muziasari, Leena K Pitkänen, Henning Sørum, Robert D Stedtfeld, James M Tiedje, Marko Virta

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 191 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 3 countries.

Windi I MuziasariDepartment of Food and Environmental Sciences, University of Helsinki Helsinki, Finland.
Leena K PitkänenDepartment of Food and Environmental Sciences, University of Helsinki Helsinki, Finland.
Henning SørumDepartment of Food Safety and Infection Biology, Norwegian University of Life Sciences Oslo, Norway.
Robert D StedtfeldDepartment of Civil and Environmental Engineering, Center for Microbial Ecology, Michigan State University Michigan, MI, USA.
James M TiedjeDepartment of Civil and Environmental Engineering, Center for Microbial Ecology, Michigan State University Michigan, MI, USA.
Marko VirtaDepartment of Food and Environmental Sciences, University of Helsinki Helsinki, Finland.
University of Helsinki · FIMichigan State University · USNorwegian University of Life Sciences · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our previous studies showed that particular antibiotic resistance genes (ARGs) were enriched locally in sediments below fish farms in the Northern Baltic Sea, Finland, even when the selection pressure from antibiotics was negligible. We assumed that a constant influx of farmed fish feces could be the plausible source of the ARGs enriched in the farm sediments. In the present study, we analyzed the composition of the antibiotic resistome from the intestinal contents of 20 fish from the Baltic Sea farms. We used a high-throughput method, WaferGen qPCR array with 364 primer sets to detect and quantify ARGs, mobile genetic elements (MGE), and the 16S rRNA gene. Despite a considerably wide selection of qPCR primer sets, only 28 genes were detected in the intestinal contents. The detected genes were ARGs encoding resistance to sulfonamide (

Indexed as

class 1 integronsculture-independent methodfish intestinal contentmobile genetic elementsqPCR arrayrainbow trouttransposonswhitefish

Identifiers

PMID28111573
PMCPMC5216021
OpenAlexW2569611772

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.