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Engineering and systems-level analysis of Saccharomyces cerevisiae for production of 3-hydroxypropionic acid via malonyl-CoA reductase-dependent pathway

Overview of attention for article published in Microbial Cell Factories, March 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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3 X users
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3 patents

Citations

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102 Dimensions

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180 Mendeley
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Title
Engineering and systems-level analysis of Saccharomyces cerevisiae for production of 3-hydroxypropionic acid via malonyl-CoA reductase-dependent pathway
Published in
Microbial Cell Factories, March 2016
DOI 10.1186/s12934-016-0451-5
Pubmed ID
Authors

Kanchana R. Kildegaard, Niels B. Jensen, Konstantin Schneider, Eik Czarnotta, Emre Özdemir, Tobias Klein, Jérôme Maury, Birgitta E. Ebert, Hanne B. Christensen, Yun Chen, Il-Kwon Kim, Markus J. Herrgård, Lars M. Blank, Jochen Forster, Jens Nielsen, Irina Borodina

Abstract

In the future, oil- and gas-derived polymers may be replaced with bio-based polymers, produced from renewable feedstocks using engineered cell factories. Acrylic acid and acrylic esters with an estimated world annual production of approximately 6 million tons by 2017 can be derived from 3-hydroxypropionic acid (3HP), which can be produced by microbial fermentation. For an economically viable process 3HP must be produced at high titer, rate and yield and preferably at low pH to minimize downstream processing costs. Here we describe the metabolic engineering of baker's yeast Saccharomyces cerevisiae for biosynthesis of 3HP via a malonyl-CoA reductase (MCR)-dependent pathway. Integration of multiple copies of MCR from Chloroflexus aurantiacus and of phosphorylation-deficient acetyl-CoA carboxylase ACC1 genes into the genome of yeast increased 3HP titer fivefold in comparison with single integration. Furthermore we optimized the supply of acetyl-CoA by overexpressing native pyruvate decarboxylase PDC1, aldehyde dehydrogenase ALD6, and acetyl-CoA synthase from Salmonella enterica SEacs (L641P) . Finally we engineered the cofactor specificity of the glyceraldehyde-3-phosphate dehydrogenase to increase the intracellular production of NADPH at the expense of NADH and thus improve 3HP production and reduce formation of glycerol as by-product. The final strain produced 9.8 ± 0.4 g L(-1) 3HP with a yield of 13 % C-mol C-mol(-1) glucose after 100 h in carbon-limited fed-batch cultivation at pH 5. The 3HP-producing strain was characterized by (13)C metabolic flux analysis and by transcriptome analysis, which revealed some unexpected consequences of the undertaken metabolic engineering strategy, and based on this data, future metabolic engineering directions are proposed. In this study, S. cerevisiae was engineered for high-level production of 3HP by increasing the copy numbers of biosynthetic genes and improving flux towards precursors and redox cofactors. This strain represents a good platform for further optimization of 3HP production and hence an important step towards potential commercial bio-based production of 3HP.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 1%
Sweden 2 1%
France 1 <1%
Finland 1 <1%
Portugal 1 <1%
India 1 <1%
China 1 <1%
Spain 1 <1%
United States 1 <1%
Other 0 0%
Unknown 169 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 23%
Researcher 28 16%
Student > Bachelor 18 10%
Student > Master 17 9%
Student > Doctoral Student 10 6%
Other 29 16%
Unknown 37 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 28%
Biochemistry, Genetics and Molecular Biology 46 26%
Engineering 13 7%
Chemical Engineering 12 7%
Chemistry 7 4%
Other 13 7%
Unknown 39 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 June 2022.
All research outputs
#3,672,868
of 22,711,242 outputs
Outputs from Microbial Cell Factories
#178
of 1,585 outputs
Outputs of similar age
#58,621
of 299,227 outputs
Outputs of similar age from Microbial Cell Factories
#6
of 32 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 88% 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 299,227 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.