Evidence map›Paper›PMID 26600152›Full record

ArticlePloS one2015

Exploring the Saccharomyces cerevisiae Volatile Metabolome: Indigenous versus Commercial Strains.

Zélia Alves, André Melo, Ana Raquel Figueiredo, Manuel A Coimbra, Ana C Gomes, Sílvia M Rocha

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Oenological Characteristics of SelectedMolecules (Basel, Switzerland) · 2026
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  2. Exploring the Functional Properties of Leaves ofAntioxidants (Basel, Switzerland) · 2025
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  3. Review
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  5. Selection of indigenousFood chemistry: X · 2024
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  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. MappingFoods (Basel, Switzerland) · 2021
    Article
  13. Article
  14. Article
  15. Microorganisms · 2020
    Article
  16. Article
  17. Review
  18. Article
  19. AIMS microbiology · 2020
    Review
  20. 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

6 authors.

Zélia AlvesDepartament of Chemistry & QOPNA, University of Aveiro, 3810-193, Aveiro, Portugal.
André MeloGenomics Unit, Biocant-Biotechnology Innovation Center, Parque Tecnológico de Cantanhede, Núcleo 4, Lote 8, 3060-197, Cantanhede, Portugal.
Ana Raquel FigueiredoDepartament of Chemistry & QOPNA, University of Aveiro, 3810-193, Aveiro, Portugal.
Manuel A CoimbraDepartament of Chemistry & QOPNA, University of Aveiro, 3810-193, Aveiro, Portugal.
Ana C GomesGenomics Unit, Biocant-Biotechnology Innovation Center, Parque Tecnológico de Cantanhede, Núcleo 4, Lote 8, 3060-197, Cantanhede, Portugal.
Sílvia M RochaDepartament of Chemistry & QOPNA, University of Aveiro, 3810-193, Aveiro, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Winemaking is a highly industrialized process and a number of commercial Saccharomyces cerevisiae strains are used around the world, neglecting the diversity of native yeast strains that are responsible for the production of wines peculiar flavours. The aim of this study was to in-depth establish the S. cerevisiae volatile metabolome and to assess inter-strains variability. To fulfill this objective, two indigenous strains (BT2652 and BT2453 isolated from spontaneous fermentation of grapes collected in Bairrada Appellation, Portugal) and two commercial strains (CSc1 and CSc2) S. cerevisiae were analysed using a methodology based on advanced multidimensional gas chromatography (HS-SPME/GC×GC-ToFMS) tandem with multivariate analysis. A total of 257 volatile metabolites were identified, distributed over the chemical families of acetals, acids, alcohols, aldehydes, ketones, terpenic compounds, esters, ethers, furan-type compounds, hydrocarbons, pyrans, pyrazines and S-compounds. Some of these families are related with metabolic pathways of amino acid, carbohydrate and fatty acid metabolism as well as mono and sesquiterpenic biosynthesis. Principal Component Analysis (PCA) was used with a dataset comprising all variables (257 volatile components), and a distinction was observed between commercial and indigenous strains, which suggests inter-strains variability. In a second step, a subset containing esters and terpenic compounds (C10 and C15), metabolites of particular relevance to wine aroma, was also analysed using PCA. The terpenic and ester profiles express the strains variability and their potential contribution to the wine aromas, specially the BT2453, which produced the higher terpenic content. This research contributes to understand the metabolic diversity of indigenous wine microflora versus commercial strains and achieved knowledge that may be further exploited to produce wines with peculiar aroma properties.

Indexed as

MetabolomePrincipal Component AnalysisSaccharomyces cerevisiaeVolatile Organic CompoundsVolatile Organic Compounds

Identifiers

PMID26600152
PMCPMC4657929

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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.