Evidence map›Paper›PMID 30076196›Full record

ArticleApplied and environmental microbiology2018

Mesophilic Sporeformers Identified in Whey Powder by Using Shotgun Metagenomic Sequencing.

Aoife J McHugh, Conor Feehily, John T Tobin, Mark A Fenelon, Colin Hill, Paul D Cotter

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

6 authors.

Aoife J McHughFood Bioscience Department, Teagasc Food Research Centre, Cork, Ireland.
Conor FeehilyFood Bioscience Department, Teagasc Food Research Centre, Cork, Ireland.
John T TobinFood Chemistry and Technology Department, Teagasc Food Research Centre, Cork, Ireland.
Mark A FenelonFood Chemistry and Technology Department, Teagasc Food Research Centre, Cork, Ireland.
Colin HillSchool of Microbiology, University College Cork, Cork, Ireland.
Paul D CotterFood Bioscience Department, Teagasc Food Research Centre, Cork, Ireland paul.cotter@teagasc.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spoilage and pathogenic spore-forming bacteria are a major cause of concern for producers of dairy products. Traditional agar-based detection methods employed by the dairy industry have limitations with respect to their sensitivity and specificity. The aim of this study was to identify low-abundance sporeformers in samples of a powdered dairy product, whey powder, produced monthly over 1 year, using novel culture-independent shotgun metagenomics-based approaches. Although mesophilic sporeformers were the main target of this study, in one instance thermophilic sporeformers were also targeted using this culture-independent approach. For comparative purposes, mesophilic and thermophilic sporeformers were also tested for within the same sample using culture-based approaches. Ultimately, the approaches taken highlighted differences in the taxa identified due to treatment and isolation methods. Despite this, low levels of transient, mesophilic, and in some cases potentially pathogenic sporeformers were consistently detected in powder samples. Although the specific sporeformers changed from one month to the next, it was apparent that 3 groups of mesophilic sporeformers, namely,

Indexed as

Food MicrobiologyAnimalsBacillusColony Count, MicrobialHigh-Throughput Nucleotide SequencingMetagenomicsPowdersRNA, Ribosomal, 16SSpores, BacterialWheyPowdersRNA, Ribosomal, 16SdairyDNA sequencingmesophilicmetagenomicspowdersporeformerswhey

Identifiers

PMID30076196
PMCPMC6182908

What OpenQuestion holds

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Registered trials

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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.