Evidence map›Paper›PMID 32784459›Full record

ArticleInternational journal of molecular sciences2020

Strain-Level Metagenomic Data Analysis of Enriched In Vitro and In Silico Spiked Food Samples: Paving the Way towards a Culture-Free Foodborne Outbreak Investigation Using STEC as a Case Study.

Assia Saltykova, Florence E Buytaers, Sarah Denayer, Bavo Verhaegen, Denis Piérard, Nancy H C Roosens, Kathleen Marchal, Sigrid C J De Keersmaecker

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Assia SaltykovaTransversal Activities in Applied Genomics (TAG), Sciensano, 1050 Brussels, Belgium.
Florence E BuytaersTransversal Activities in Applied Genomics (TAG), Sciensano, 1050 Brussels, Belgium.
Sarah DenayerNational Reference Laboratory for Shiga Toxin-Producing Escherichia coli (NRL STEC), Foodborne Pathogens, Sciensano, 1050 Brussels, Belgium.
Bavo VerhaegenNational Reference Laboratory for Shiga Toxin-Producing Escherichia coli (NRL STEC), Foodborne Pathogens, Sciensano, 1050 Brussels, Belgium.
Denis PiérardNational Reference Center for Shiga Toxin-Producing Escherichia coli (NRC STEC), Department of Microbiology and Infection Control, Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium.ORCID 0000-0002-7756-3691
Nancy H C RoosensTransversal Activities in Applied Genomics (TAG), Sciensano, 1050 Brussels, Belgium.ORCID 0000-0001-9218-078X
Kathleen MarchalIDLab, Department of Information Technology, Ghent University, IMEC, 9052 Ghent, Belgium.
Sigrid C J De KeersmaeckerTransversal Activities in Applied Genomics (TAG), Sciensano, 1050 Brussels, Belgium.ORCID 0000-0003-4198-4133
Sciensano (Belgium) · BEGhent University · BEVrije Universiteit Brussel · BE

Funding

Belgian Federal Public Service of Health, Food Chain Safety and Environment RF 17/6316 StEQIDEMIC.beSciensano contract RP NeXSplorer.iph and .Be READY
6 · The paper itself

Abstract

Culture-independent diagnostics, such as metagenomic shotgun sequencing of food samples, could not only reduce the turnaround time of samples in an outbreak investigation, but also allow the detection of multi-species and multi-strain outbreaks. For successful foodborne outbreak investigation using a metagenomic approach, it is, however, necessary to bioinformatically separate the genomes of individual strains, including strains belonging to the same species, present in a microbial community, which has up until now not been demonstrated for this application. The current work shows the feasibility of strain-level metagenomics of enriched food matrix samples making use of data analysis tools that classify reads against a sequence database. It includes a brief comparison of two database-based read classification tools, Sigma and Sparse, using a mock community obtained by in vitro spiking minced meat with a Shiga toxin-producing

Indexed as

Computer SimulationData AnalysisDisease OutbreaksFood MicrobiologyMetagenomicsMeatSerotypingShiga-Toxigenic Escherichia coliVirulencefoodborne outbreak investigationpublic healthstrain-level metagenomics

Identifiers

PMID32784459
PMCPMC7460976
OpenAlexW3047897646

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.