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Metabolic engineering of Saccharomyces cerevisiae for linalool production

Overview of attention for article published in Biotechnology Letters, November 2015
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1 tweeter

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63 Mendeley
Title
Metabolic engineering of Saccharomyces cerevisiae for linalool production
Published in
Biotechnology Letters, 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.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
China 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Researcher 13 21%
Student > Bachelor 9 14%
Student > Master 7 11%
Unspecified 6 10%
Other 14 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 40%
Biochemistry, Genetics and Molecular Biology 16 25%
Unspecified 8 13%
Engineering 5 8%
Chemistry 5 8%
Other 4 6%

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
#10,921,096
of 12,323,844 outputs
Outputs from Biotechnology Letters
#1,663
of 1,876 outputs
Outputs of similar age
#262,877
of 324,514 outputs
Outputs of similar age from Biotechnology Letters
#31
of 54 outputs
Altmetric has tracked 12,323,844 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 1,876 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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