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CRISPR-Cas genome engineering of esterase activity in Saccharomyces cerevisiae steers aroma formation

Overview of attention for article published in BMC Research Notes, September 2018
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Title
CRISPR-Cas genome engineering of esterase activity in Saccharomyces cerevisiae steers aroma formation
Published in
BMC Research Notes, September 2018
DOI 10.1186/s13104-018-3788-5
Pubmed ID
Authors

Alexander Dank, Eddy J. Smid, Richard A. Notebaart

Abstract

Saccharomyces cerevisiae is used worldwide for the production of ale-type beers. This yeast is responsible for the production of the characteristic fruity aroma compounds. Esters constitute an important group of aroma active secondary metabolites produced by S. cerevisiae. Previous work suggests that esterase activity, which results in ester degradation, may be the key factor determining the abundance of fruity aroma compounds. Here, we test this hypothesis by deletion of two S. cerevisiae esterases, IAH1 and TIP1, using CRISPR-Cas9 genome editing and by studying the effect of these deletions on esterase activity and extracellular ester pools. Saccharomyces cerevisiae mutants were constructed lacking esterase IAH1 and/or TIP1 using CRISPR-Cas9 genome editing. Esterase activity using 5-(6)-carboxyfluorescein diacetate (cFDA) as substrate was found to be significantly lower for ΔIAH1 and ΔIAH1ΔTIP1 mutants compared to wild type (WT) activity (P < 0.05 and P < 0.001, respectively). As expected, we observed an increase in relative abundance of acetate and ethyl esters and an increase in ethyl esters in ΔIAH1 and ΔTIP1, respectively. Interestingly, the double gene disruption mutant ΔIAH1ΔTIP1 showed an aroma profile comparable to WT levels, suggesting the existence and activation of a complex regulatory mechanism to compensate multiple genomic alterations in aroma metabolism.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 16%
Student > Master 8 16%
Student > Bachelor 5 10%
Student > Ph. D. Student 5 10%
Student > Postgraduate 2 4%
Other 6 12%
Unknown 17 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 29%
Agricultural and Biological Sciences 9 18%
Engineering 4 8%
Chemistry 2 4%
Unspecified 1 2%
Other 4 8%
Unknown 16 31%
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 29 September 2018.
All research outputs
#17,178,028
of 25,233,554 outputs
Outputs from BMC Research Notes
#2,487
of 4,496 outputs
Outputs of similar age
#222,490
of 348,240 outputs
Outputs of similar age from BMC Research Notes
#76
of 137 outputs
Altmetric has tracked 25,233,554 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,496 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.