Evidence map›Paper›PMID 35415629›Full record

ArticleFood chemistry. Molecular sciences2021

A shotgun metagenomics approach to detect and characterize unauthorized genetically modified microorganisms in microbial fermentation products.

Florence E Buytaers, Marie-Alice Fraiture, Bas Berbers, Els Vandermassen, Stefan Hoffman, Nina Papazova, Kevin Vanneste, Kathleen Marchal, Nancy H C Roosens, Sigrid C J De Keersmaecker

Open access · goldAbstract read
In one paragraph

Article in Food chemistry. Molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Detection ofFood chemistry. Molecular sciences · 2025
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  4. Article
  5. Article
  6. Review
  7. Article
  8. Synsor: a tool for alignment-free detection of engineered DNA sequences.Frontiers in bioengineering and biotechnology · 2024
    Article
  9. Article
  10. Article
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

10 authors at 2 institutions in 1 country.

Florence E BuytaersTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Marie-Alice FraitureTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Bas BerbersTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Els VandermassenTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Stefan HoffmanTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Nina PapazovaTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Kevin VannesteTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Kathleen MarchalDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Belgium.
Nancy H C RoosensTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Sigrid C J De KeersmaeckerTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Sciensano (Belgium) · BEGhent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence of a genetically modified microorganism (GMM) or its DNA, often harboring antimicrobial resistance (AMR) genes, in microbial fermentation products on the market is prohibited by European regulations. GMMs are currently screened for through qPCR assays targeting AMR genes and vectors, and then confirmed by targeting known specific GM constructs/events. However, when the GMM was not previously characterized and an isolate cannot be obtained, its presence cannot be proven. We present a metagenomics approach capable of delivering the proof of presence of a GMM in a microbial fermentation product, with characterization based on the detection of AMR genes and vectors, species and unnatural associations in the GMM genome. In our proof-of-concept study, this approach was performed on a case with a previously isolated and sequenced GMM, an unresolved case for which no isolate was obtained, and a non-GMM-contaminated sample, all representative for the possible scenarios to occur in routine setting. Both short and long read sequencing were used. This workflow paves the way for a strategy to detect and characterize unknown GMMs by enforcement laboratories.

Indexed as

AMRGenetically modified microorganismIdentificationLong and short read sequencingMicrobial fermentation productsShotgun metagenomics

Identifiers

PMID35415629
PMCPMC8991599
OpenAlexW3156590197

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.