Evidence map›Paper›PMID 27044358›Full record

ArticleMicrobial cell factories2016

Diversity of flux distribution in central carbon metabolism of S. cerevisiae strains from diverse environments.

Thibault Nidelet, Pascale Brial, Carole Camarasa, Sylvie Dequin

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Endo metabolomic profiling ofFrontiers in microbiology · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Cuminal InhibitsMicroorganisms · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. 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 1 country.

Thibault NideletSPO, INRA, SupAgro, Université de Montpellier, 34060, Montpellier, France. nidelet@supagro.inra.fr.
Pascale BrialSPO, INRA, SupAgro, Université de Montpellier, 34060, Montpellier, France.
Carole CamarasaSPO, INRA, SupAgro, Université de Montpellier, 34060, Montpellier, France.
Sylvie DequinSPO, INRA, SupAgro, Université de Montpellier, 34060, Montpellier, France.
Université de Montpellier · FRSciences pour L’Œnologie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundS. cerevisiae has attracted considerable interest in recent years as a model for ecology and evolutionary biology, revealing a substantial genetic and phenotypic diversity. However, there is a lack of knowledge on the diversity of metabolic networks within this species.

resultsTo identify the metabolic and evolutionary constraints that shape metabolic fluxes in S. cerevisiae, we used a dedicated constraint-based model to predict the central carbon metabolism flux distribution of 43 strains from different ecological origins, grown in wine fermentation conditions. In analyzing these distributions, we observed a highly contrasted situation in flux variability, with quasi-constancy of the glycolysis and ethanol synthesis yield yet high flexibility of other fluxes, such as the pentose phosphate pathway and acetaldehyde production. Furthermore, these fluxes with large variability showed multimodal distributions that could be linked to strain origin, indicating a convergence between genetic origin and flux phenotype.

conclusionsFlux variability is pathway-dependent and, for some flux, a strain origin effect can be found. These data highlight the constraints shaping the yeast operative central carbon network and provide clues for the design of strategies for strain improvement.

Indexed as

EcosystemGenetic VariationMetabolic Networks and PathwaysPhenotypeAdaptation, BiologicalCarbonCellular MicroenvironmentEvolution, MolecularGenotypeGlycolysisMicrobiological TechniquesPentose Phosphate PathwaySaccharomyces cerevisiaeCarbonDiversityFlux balance analysisMetabolic fluxModelingS. cerevisiae

Identifiers

PMID27044358
PMCPMC4820951
OpenAlexW2337652162

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.