↓ Skip to main content

The effect of scale on gene expression: commercial versus laboratory wine fermentations

Overview of attention for article published in Applied Microbiology and Biotechnology, September 2011
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
69 Mendeley
Title
The effect of scale on gene expression: commercial versus laboratory wine fermentations
Published in
Applied Microbiology and Biotechnology, September 2011
DOI 10.1007/s00253-011-3564-0
Pubmed ID
Authors

Debra Rossouw, Neil Jolly, Dan Jacobson, Florian F. Bauer

Abstract

Molecular and cellular processes that are responsible for industrially relevant phenotypes of fermenting microorganisms are a central focus of biotechnological research. Such research intends to generate insights and solutions for fermentation-based industries with regards to issues such as improving product yield or the quality of the final fermentation product. For logistical reasons, and to ensure data reproducibility, such research is mostly carried out in defined or synthetic media and in small-scale fermentation vessels. Two questions are frequently raised regarding the applicability of this approach to solve problems experienced in industrial fermentations: (1) Is synthetic medium a sufficiently accurate approximation of the generally more complex natural (and frequently highly variable) substrates that are employed in most fermentation-based industries, and (2) can results obtained in small-scale laboratory fermentations be extrapolated to large-scale industrial environments? Here, we address the second question through a comparative transcriptomic approach by assessing the response of an industrial wine yeast strain fermenting a natural grape juice in small-scale laboratory and large-scale industrial conditions. In yeast, transcriptome analysis is arguably the best available tool to holistically assess the physiological state of a population and its response to changing environmental conditions. The data suggest that scale does indeed impact on some environmental parameters such as oxygen availability. However, the data show that small-scale fermentations nevertheless accurately reflect general molecular processes and adaptations during large-scale fermentation and that extrapolation of laboratory datasets to real industrial processes can be justified.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Chile 1 1%
France 1 1%
South Africa 1 1%
Canada 1 1%
Unknown 64 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 26%
Student > Ph. D. Student 15 22%
Student > Master 9 13%
Student > Bachelor 8 12%
Professor > Associate Professor 4 6%
Other 10 14%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 58%
Biochemistry, Genetics and Molecular Biology 7 10%
Chemistry 3 4%
Computer Science 2 3%
Business, Management and Accounting 1 1%
Other 3 4%
Unknown 13 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 April 2012.
All research outputs
#19,611,252
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#6,478
of 8,034 outputs
Outputs of similar age
#111,663
of 133,505 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#52
of 59 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 133,505 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.