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

Overview of attention for article published in Microbial Cell Factories, April 2016
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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2 X users
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1 patent

Citations

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30 Dimensions

Readers on

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79 Mendeley
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1 CiteULike
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Title
Diversity of flux distribution in central carbon metabolism of S. cerevisiae strains from diverse environments
Published in
Microbial Cell Factories, April 2016
DOI 10.1186/s12934-016-0456-0
Pubmed ID
Authors

Thibault Nidelet, Pascale Brial, Carole Camarasa, Sylvie Dequin

Abstract

S. 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. To 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. Flux 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
China 1 1%
France 1 1%
Unknown 76 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 28%
Researcher 21 27%
Student > Master 9 11%
Student > Bachelor 8 10%
Professor > Associate Professor 3 4%
Other 8 10%
Unknown 8 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 35%
Biochemistry, Genetics and Molecular Biology 23 29%
Engineering 3 4%
Chemical Engineering 2 3%
Environmental Science 2 3%
Other 8 10%
Unknown 13 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 January 2018.
All research outputs
#6,808,508
of 22,860,626 outputs
Outputs from Microbial Cell Factories
#459
of 1,603 outputs
Outputs of similar age
#96,121
of 300,859 outputs
Outputs of similar age from Microbial Cell Factories
#14
of 37 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,603 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 300,859 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.