Evidence map›Paper›PMID 24932634›Full record

ReviewYeast (Chichester, England)2014

The wine and beer yeast Dekkera bruxellensis.

Anna Judith Schifferdecker, Sofia Dashko, Olena P Ishchuk, Jure Piškur

Abstract readReview
In one paragraph

Review in Yeast (Chichester, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Relationships Among Origin, Genotype, and Oenological Traits ofInternational journal of molecular sciences · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Application ofFood science and biotechnology · 2023
    Article
  12. Article
  13. TheFEMS microbes · 2023
    Article
  14. Article
  15. Kombucha: Production and Microbiological Research.Foods (Basel, Switzerland) · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. New Insights on Volatile Components ofMolecules (Basel, Switzerland) · 2021
    Article
  20. Review
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

4 authors.

Anna Judith SchifferdeckerDepartment of Biology, Lund University, Sölvegatan 35, Lund, SE-223 62, Sweden.
Sofia Dashko
Olena P Ishchuk
Jure Piškur

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, the non-conventional yeast Dekkera bruxellensis has been gaining more and more attention in the food industry and academic research. This yeast species is a distant relative of Saccharomyces cerevisiae and is especially known for two important characteristics: on the one hand, it is considered to be one of the main spoilage organisms in the wine and bioethanol industry; on the other hand, it is 'indispensable' as a contributor to the flavour profile of Belgium lambic and gueuze beers. Additionally, it adds to the characteristic aromatic properties of some red wines. Recently this yeast has also become a model for the study of yeast evolution. In this review we focus on the recently developed molecular and genetic tools, such as complete genome sequencing and transformation, to study and manipulate this yeast. We also focus on the areas that are particularly well explored in this yeast, such as the synthesis of off-flavours, yeast detection methods, carbon metabolism and evolutionary history.

Indexed as

BeerBelgiumDekkeraFermentationGenetics, MicrobialMetabolic EngineeringMetabolic Networks and PathwaysMolecular BiologyWinebeerbioethanolfood sciencesgenomicswineyeast

Identifiers

PMID24932634
PMCPMC4257070

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.