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Mendeley readers
Attention Score in Context
| Title |
Dynamic control of ERG9 expression for improved amorpha-4,11-diene production in Saccharomyces cerevisiae
|
|---|---|
| Published in |
Microbial Cell Factories, March 2015
|
| DOI | 10.1186/s12934-015-0220-x |
| Pubmed ID | |
| Authors |
Jifeng Yuan, Chi-Bun Ching |
| Abstract |
To achieve high-level production of non-native isoprenoid products, it requires the metabolic flux to be diverted from the production of sterols to the heterologous metabolic reactions. However, there are limited tools for restricting metabolic flux towards ergosterol synthesis. In the present study, we explored dynamic control of ERG9 expression using different ergosterol-responsive promoters to improve the production of non-native isoprenoids. Several ergosterol-responsive promoters were identified using quantitative real-time PCR (qRT-PCR) analysis in an engineered strain with relatively high mevalonate pathway activity. We found mRNA levels for ERG11, ERG2 and ERG3 expression were significantly lower in the engineered strain over the reference strain BY4742, indicating these genes are transcriptionally down-regulated when ergosterol is in excess. Further replacement of the native ERG9 promoter with these ergosterol-responsive promoters revealed that all engineered strains improved amorpha-4,11-diene by 2 ~ 5-fold over the reference strain with ERG9 under its native promoter. The best engineered strain with ERG9 under the control of P ERG1 produced amorpha-4,11-diene to a titer around 350 mg/L after 96 h cultivation in shake-flasks. We envision dynamic control at the branching step using feedback regulation at transcriptional level could serve as a generalized approach for redirecting the metabolic flux towards product-of-interest. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| India | 1 | <1% |
| Sweden | 1 | <1% |
| China | 1 | <1% |
| Unknown | 135 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 26% |
| Student > Master | 20 | 14% |
| Researcher | 19 | 14% |
| Student > Bachelor | 11 | 8% |
| Student > Doctoral Student | 5 | 4% |
| Other | 18 | 13% |
| Unknown | 30 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 41 | 29% |
| Agricultural and Biological Sciences | 36 | 26% |
| Engineering | 12 | 9% |
| Medicine and Dentistry | 3 | 2% |
| Environmental Science | 2 | 1% |
| Other | 8 | 6% |
| Unknown | 38 | 27% |
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 19 April 2015.
All research outputs
#18,410,971
of 22,805,349 outputs
Outputs from Microbial Cell Factories
#1,202
of 1,598 outputs
Outputs of similar age
#209,113
of 285,988 outputs
Outputs of similar age from Microbial Cell Factories
#28
of 39 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,598 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 14th percentile – i.e., 14% 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 285,988 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.