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Saccharomyces cerevisiae and S. kudriavzevii Synthetic Wine Fermentation Performance Dissected by Predictive Modeling

Overview of attention for article published in Frontiers in Microbiology, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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Title
Saccharomyces cerevisiae and S. kudriavzevii Synthetic Wine Fermentation Performance Dissected by Predictive Modeling
Published in
Frontiers in Microbiology, February 2018
DOI 10.3389/fmicb.2018.00088
Pubmed ID
Authors

David Henriques, Javier Alonso-del-Real, Amparo Querol, Eva Balsa-Canto

Abstract

Wineries face unprecedented challenges due to new market demands and climate change effects on wine quality. New yeast starters including non-conventionalSaccharomycesspecies, such asS. kudriavzevii, may contribute to deal with some of these challenges. The design of new fermentations using non-conventional yeasts requires an improved understanding of the physiology and metabolism of these cells. Dynamic modeling brings the potential of exploring the most relevant mechanisms and designing optimal processes more systematically. In this work we explore mechanisms by means of a model selection, reduction and cross-validation pipeline which enables to dissect the most relevant fermentation features for the species under consideration,Saccharomyces cerevisiaeT73 andSaccharomyces kudriavzeviiCR85. The pipeline involved the comparison of a collection of models which incorporate several alternative mechanisms with emphasis on the inhibitory effects due to temperature and ethanol. We focused on defining a minimal model with the minimum number of parameters, to maximize the identifiability and the quality of cross-validation. The selected model was then used to highlight differences in behavior between species. The analysis of model parameters would indicate that the specific growth rate and the transport of hexoses at initial times are higher forS. cervisiaeT73 whileS. kudriavzeviiCR85 diverts more flux for glycerol production and cellular maintenance. As a result, the fermentations withS. kudriavzeviiCR85 are typically slower; produce less ethanol but higher glycerol. Finally, we also explored optimal initial inoculation and process temperature to find the best compromise between final product characteristics and fermentation duration. Results reveal that the production of glycerol is distinctive inS. kudriavzeviiCR85, it was not possible to achieve the same production of glycerol withS. cervisiaeT73 in any of the conditions tested. This result brings the idea that the optimal design of mixed cultures may have an enormous potential for the improvement of final wine quality.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 14%
Student > Ph. D. Student 9 14%
Student > Bachelor 7 11%
Researcher 7 11%
Student > Doctoral Student 5 8%
Other 11 17%
Unknown 17 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 22%
Biochemistry, Genetics and Molecular Biology 9 14%
Social Sciences 4 6%
Engineering 4 6%
Computer Science 2 3%
Other 10 15%
Unknown 22 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 23 February 2018.
All research outputs
#5,898,209
of 23,782,909 outputs
Outputs from Frontiers in Microbiology
#5,469
of 26,416 outputs
Outputs of similar age
#115,398
of 442,926 outputs
Outputs of similar age from Frontiers in Microbiology
#173
of 533 outputs
Altmetric has tracked 23,782,909 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,416 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 79% 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 442,926 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 73% of its contemporaries.
We're also able to compare this research output to 533 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 67% of its contemporaries.