Evidence map›Paper›PMID 27028007›Full record

ArticlePloS one2016

The Identification of Novel Diagnostic Marker Genes for the Detection of Beer Spoiling Pediococcus damnosus Strains Using the BlAst Diagnostic Gene findEr.

Jürgen Behr, Andreas J Geissler, Jonas Schmid, Anja Zehe, Rudi F Vogel

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Comparative analysis of theFood science and biotechnology · 2025
    Article
  2. Article
  3. Article
  4. Characterization of theFrontiers in microbiology · 2023
    Article
  5. Article
  6. Comparative genomics ofCurrent research in microbial sciences · 2021
    Article
  7. Article
  8. Review
  9. Article
  10. Proteomic Analysis ofFrontiers in microbiology · 2019
    Article
  11. Article
  12. Multiple Genome Sequences ofGenome announcements · 2017
    Article
  13. Review
  14. Article
  15. 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

5 authors.

Jürgen BehrLehrstuhl für Technische Mikrobiologie, Technische Universität München, Freising, Germany.
Andreas J GeisslerLehrstuhl für Technische Mikrobiologie, Technische Universität München, Freising, Germany.
Jonas SchmidLehrstuhl für Technische Mikrobiologie, Technische Universität München, Freising, Germany.
Anja ZeheLehrstuhl für Technische Mikrobiologie, Technische Universität München, Freising, Germany.
Rudi F VogelLehrstuhl für Technische Mikrobiologie, Technische Universität München, Freising, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the number of bacterial genomes increases dramatically, the demand for easy to use tools with transparent functionality and comprehensible output for applied comparative genomics grows as well. We present BlAst Diagnostic Gene findEr (BADGE), a tool for the rapid prediction of diagnostic marker genes (DMGs) for the differentiation of bacterial groups (e.g. pathogenic / nonpathogenic). DMG identification settings can be modified easily and installing and running BADGE does not require specific bioinformatics skills. During the BADGE run the user is informed step by step about the DMG finding process, thus making it easy to evaluate the impact of chosen settings and options. On the basis of an example with relevance for beer brewing, being one of the oldest biotechnological processes known, we show a straightforward procedure, from phenotyping, genome sequencing, assembly and annotation, up to a discriminant marker gene PCR assay, making comparative genomics a means to an end. The value and the functionality of BADGE were thoroughly examined, resulting in the successful identification and validation of an outstanding novel DMG (fabZ) for the discrimination of harmless and harmful contaminations of Pediococcus damnosus, which can be applied for spoilage risk determination in breweries. Concomitantly, we present and compare five complete P. damnosus genomes sequenced in this study, finding that the ability to produce the unwanted, spoilage associated off-flavor diacetyl is a plasmid encoded trait in this important beer spoiling species.

Indexed as

Genes, BacterialGenetic MarkersPediococcusGenetic Markers

Identifiers

PMID27028007
PMCPMC4814128

What OpenQuestion holds

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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.