Evidence map›Paper›PMID 27634775›Full record

ReviewFEMS yeast research2016

Saccharomyces cerevisiae metabolism in ecological context.

Paula Jouhten, Olga Ponomarova, Ramon Gonzalez, Kiran R Patil

Open access · hybridAbstract readReview
In one paragraph

Review in FEMS yeast research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.0field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Engineering of plant-derived P450scc forSynthetic and systems biotechnology · 2026
    Article
  3. Article
  4. Article
  5. Microbial ecology of fermented foods.FEMS yeast research · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Occurrence and Persistence ofMicroorganisms · 2024
    Article
  10. Review
  11. Article
  12. Truth in wine yeast.Microbial biotechnology · 2022
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Genome-Scale Metabolic Model of the Human PathogenJournal of fungi (Basel, Switzerland) · 2020
    Article
  19. 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 at 2 institutions in 2 countries.

Paula JouhtenStructural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstrasse 1, Heidelberg, DE 69117, Germany.
Olga PonomarovaStructural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstrasse 1, Heidelberg, DE 69117, Germany.
Ramon GonzalezDepartment of Microbiologia, Instituto de Fermentaciones Industriales (CSIC), C. Juan de la Cierva 3, Madrid, ES 28006, Spain.
Kiran R PatilStructural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstrasse 1, Heidelberg, DE 69117, Germany patil@embl.de.
European Molecular Biology Laboratory · DEInstituto de Fermentaciones Industriales · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The architecture and regulation of Saccharomyces cerevisiae metabolic network are among the best studied owing to its widespread use in both basic research and industry. Yet, several recent studies have revealed notable limitations in explaining genotype-metabolic phenotype relations in this yeast, especially when concerning multiple genetic/environmental perturbations. Apparently unexpected genotype-phenotype relations may originate in the evolutionarily shaped cellular operating principles being hidden in common laboratory conditions. Predecessors of laboratory S. cerevisiae strains, the wild and the domesticated yeasts, have been evolutionarily shaped by highly variable environments, very distinct from laboratory conditions, and most interestingly by social life within microbial communities. Here we present a brief review of the genotypic and phenotypic peculiarities of S. cerevisiae in the context of its social lifestyle beyond laboratory environments. Accounting for this ecological context and the origin of the laboratory strains in experimental design and data analysis would be essential in improving the understanding of genotype-environment-phenotype relationships.

Indexed as

Microbial InteractionsAdaptation, BiologicalMetabolic Networks and PathwaysSaccharomyces cerevisiaeecological contextgenotype–phenotype relationmicrobial communitySaccharomyces cerevisiaespecies interaction

Identifiers

PMID27634775
PMCPMC5050001
OpenAlexW2520288912

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.