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Iterative carotenogenic screens identify combinations of yeast gene deletions that enhance sclareol production

Overview of attention for article published in Microbial Cell Factories, April 2015
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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1 X user
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2 patents

Citations

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52 Dimensions

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116 Mendeley
Title
Iterative carotenogenic screens identify combinations of yeast gene deletions that enhance sclareol production
Published in
Microbial Cell Factories, April 2015
DOI 10.1186/s12934-015-0246-0
Pubmed ID
Authors

Fotini A Trikka, Alexandros Nikolaidis, Anastasia Athanasakoglou, Aggeliki Andreadelli, Codruta Ignea, Konstantia Kotta, Anagnostis Argiriou, Sotirios C Kampranis, Antonios M Makris

Abstract

Terpenoids (isoprenoids) have numerous applications in flavors, fragrances, drugs and biofuels. The number of microbially produced terpenoids is increasing as new biosynthetic pathways are being elucidated. However, efforts to improve terpenoid production in yeast have mostly taken advantage of existing knowledge of the sterol biosynthetic pathway, while many additional factors may affect the output of the engineered system. Aiming to develop a yeast strain that can support high titers of sclareol, a diterpene of great importance for the perfume industry, we sought to identify gene deletions that improved carotenoid, and thus potentially sclareol, production. Using a carotenogenic screen, the best 100 deletion mutants, out of 4,700 mutant strains, were selected to create a subset for further analysis. To identify combinations of deletions that cooperate to further boost production, iterative carotenogenic screens were applied, and each time the top performing gene deletions were further ranked according to the number of genetic and physical interactions known for each specific gene. The gene selected in each round was deleted and the resulting strain was employed in a new round of selection. This approach led to the development of an EG60 derived haploid strain combining six deletions (rox1, dos2, yer134c, vba5, ynr063w and ygr259c) and exhibiting a 40-fold increase in carotenoid and 12-fold increase in sclareol titers, reaching 750 mg/L sclareol in shake flask cultivation. Using an iterative approach, we identified novel combinations of yeast gene deletions that improve carotenoid and sclareol production titers without compromising strain growth and viability. Most of the identified deletions have not previously been implicated in sterol pathway control. Applying the same approach using a different starting point could yield alternative sets of deletions with similar or improved outcome.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
Serbia 1 <1%
China 1 <1%
Unknown 113 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 23%
Student > Ph. D. Student 19 16%
Student > Master 11 9%
Student > Bachelor 11 9%
Other 6 5%
Other 18 16%
Unknown 24 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 40%
Biochemistry, Genetics and Molecular Biology 23 20%
Chemistry 7 6%
Chemical Engineering 3 3%
Medicine and Dentistry 2 2%
Other 11 9%
Unknown 24 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 13 December 2018.
All research outputs
#7,215,016
of 22,805,349 outputs
Outputs from Microbial Cell Factories
#495
of 1,598 outputs
Outputs of similar age
#86,777
of 265,103 outputs
Outputs of similar age from Microbial Cell Factories
#9
of 35 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,598 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 67% 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 265,103 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 66% of its contemporaries.
We're also able to compare this research output to 35 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 60% of its contemporaries.