↓ Skip to main content

Metabolic engineering of Saccharomyces cerevisiae for linalool production

Overview of attention for article published in Biotechnology Techniques, November 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
115 Mendeley
Title
Metabolic engineering of Saccharomyces cerevisiae for linalool production
Published in
Biotechnology Techniques, November 2015
DOI 10.1007/s10529-015-2000-4
Pubmed ID
Authors

Pegah Amiri, Azar Shahpiri, Mohammad Ali Asadollahi, Fariborz Momenbeik, Siavash Partow

Abstract

To engineer the yeast Saccharomyces cerevisiae for the heterologous production of linalool. Expression of linalool synthase gene from Lavandula angustifolia enabled heterologous production of linalool in S. cerevisiae. Downregulation of ERG9 gene, that encodes squalene synthase, by replacing its native promoter with the repressible MET3 promoter in the presence of methionine resulted in accumulation of 78 µg linalool l(-1) in the culture medium. This was more than twice that produced by the control strain. The highest linalool titer was obtained by combined repression of ERG9 and overexpression of tHMG1. The yeast strain harboring both modifications produced 95 μg linalool l(-1). Although overexpression of tHMG1 and downregulation of ERG9 enhanced linalool titers threefold in the engineered yeast strain, alleviating linalool toxicity is necessary for further improvement of linalool biosynthesis in yeast.

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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 <1%
France 1 <1%
Unknown 113 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 19%
Researcher 19 17%
Student > Bachelor 18 16%
Student > Master 13 11%
Student > Postgraduate 8 7%
Other 11 10%
Unknown 24 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 34 30%
Agricultural and Biological Sciences 30 26%
Chemistry 9 8%
Engineering 6 5%
Immunology and Microbiology 3 3%
Other 5 4%
Unknown 28 24%
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 November 2015.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Biotechnology Techniques
#2,492
of 2,762 outputs
Outputs of similar age
#336,542
of 394,393 outputs
Outputs of similar age from Biotechnology Techniques
#23
of 33 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,762 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% 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 394,393 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.