| Title |
Isobutanol production in engineered Saccharomyces cerevisiae by overexpression of 2-ketoisovalerate decarboxylase and valine biosynthetic enzymes
|
|---|---|
| Published in |
Bioprocess and Biosystems Engineering, April 2012
|
| DOI | 10.1007/s00449-012-0736-y |
| Pubmed ID | |
| Authors |
Won-Heong Lee, Seung-Oh Seo, Yi-Hyun Bae, Hong Nan, Yong-Su Jin, Jin-Ho Seo |
| Abstract |
Engineering of Saccharomyces cerevisiae to produce advanced biofuels such as isobutanol has received much attention because this yeast has a natural capacity to produce higher alcohols. In this study, construction of isobutanol production systems was attempted by overexpression of effective 2-keto acid decarboxylase (KDC) and combinatorial overexpression of valine biosynthetic enzymes in S. cerevisiae D452-2. Among the six putative KDC enzymes from various microorganisms, 2-ketoisovalerate decarboxylase (Kivd) from L. lactis subsp. lactis KACC 13877 was identified as the most suitable KDC for isobutanol production in the yeast. Isobutanol production by the engineered S. cerevisiae was assessed in micro-aerobic batch fermentations using glucose as a sole carbon source. 93 mg/L isobutanol was produced in the Kivd overexpressing strain, which corresponds to a fourfold improvement as compared with the control strain. Isobutanol production was further enhanced to 151 mg/L by additional overexpression of acetolactate synthase (Ilv2p), acetohydroxyacid reductoisomerase (Ilv5p), and dihydroxyacid dehydratase (Ilv3p) in the cytosol. |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Arab Emirates | 1 | <1% |
| Sweden | 1 | <1% |
| Canada | 1 | <1% |
| New Zealand | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 122 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 21% |
| Student > Master | 22 | 17% |
| Student > Ph. D. Student | 20 | 16% |
| Student > Bachelor | 16 | 13% |
| Professor > Associate Professor | 8 | 6% |
| Other | 16 | 13% |
| Unknown | 19 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 54 | 42% |
| Biochemistry, Genetics and Molecular Biology | 22 | 17% |
| Chemistry | 10 | 8% |
| Engineering | 9 | 7% |
| Chemical Engineering | 7 | 5% |
| Other | 5 | 4% |
| Unknown | 21 | 16% |
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 17 October 2023.
All research outputs
#3,815,396
of 25,457,858 outputs
Outputs from Bioprocess and Biosystems Engineering
#2
of 8 outputs
Outputs of similar age
#24,161
of 175,995 outputs
Outputs of similar age from Bioprocess and Biosystems Engineering
#1
of 4 outputs
Altmetric has tracked 25,457,858 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 8 research outputs from this source. They receive a mean Attention Score of 2.2. This one scored the same or higher as 6 of them.
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 175,995 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 85% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them