Evidence map›Paper›PMID 28625983›Full record

ArticleApplied and environmental microbiology2017

Strain-Level Metagenomic Analysis of the Fermented Dairy Beverage Nunu Highlights Potential Food Safety Risks.

Aaron M Walsh, Fiona Crispie, Kareem Daari, Orla O'Sullivan, Jennifer C Martin, Cornelius T Arthur, Marcus J Claesson, Karen P Scott, Paul D Cotter

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Applied and environmental microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
11.2field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 83 citations in OpenAlex.

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  11. Maternal supplementation withFrontiers in microbiology · 2023
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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 at 3 institutions in 2 countries.

Aaron M WalshTeagasc Food Research Centre, Fermoy, Ireland.
Fiona CrispieTeagasc Food Research Centre, Fermoy, Ireland.
Kareem DaariRowett Institute, University of Aberdeen, Aberdeen, Scotland.
Orla O'SullivanTeagasc Food Research Centre, Fermoy, Ireland.
Jennifer C MartinRowett Institute, University of Aberdeen, Aberdeen, Scotland.
Cornelius T ArthurAnimal Research Institute, Accra, Ghana.
Marcus J ClaessonAPC Microbiome Institute, University College Cork, Cork, Ireland.
Karen P ScottRowett Institute, University of Aberdeen, Aberdeen, Scotland.
Paul D CotterTeagasc Food Research Centre, Fermoy, Ireland paul.cotter@teagasc.ie.
APC Microbiome Institute · IEUniversity of Aberdeen · GBUniversity College Cork · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid detection of pathogenic strains in food products is essential for the prevention of disease outbreaks. It has already been demonstrated that whole-metagenome shotgun sequencing can be used to detect pathogens in food but, until recently, strain-level detection of pathogens has relied on whole-metagenome assembly, which is a computationally demanding process. Here we demonstrated that three short-read-alignment-based methods, i.e., MetaMLST, PanPhlAn, and StrainPhlAn, could accurately and rapidly identify pathogenic strains in spinach metagenomes that had been intentionally spiked with Shiga toxin-producing

Indexed as

AnimalsBacteriaCattleDairy ProductsFermentationFood MicrobiologyFood SafetyGhanaMetagenomeMetagenomicsMilkSpinacia oleraceafermentationfood-borne pathogensmetagenomics

Identifiers

PMID28625983
PMCPMC5541208
OpenAlexW2626401996

What OpenQuestion holds

Textmetadata
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.