| Title |
A novel riboregulator switch system of gene expression for enhanced microbial production of succinic acid
|
|---|---|
| Published in |
Journal of Industrial Microbiology & Biotechnology, April 2018
|
| DOI | 10.1007/s10295-018-2019-3 |
| Pubmed ID | |
| Authors |
Jing Wang, Haoyuan Wang, Le Yang, Liping Lv, Zhe Zhang, Bin Ren, Lichun Dong, Ning Li |
| Abstract |
In this paper, a novel riboregulator Switch System of Gene Expression including an OFF-TO-ON switch and an ON-TO-OFF switch was designed to regulate the expression state of target genes between "ON" and "OFF" by switching the identifiability of ribosome recognition site (RBS) based on the thermodynamic stability of different RNA-RNA hybridizations between RBS and small noncoding RNAs. The proposed riboregulator switch system was employed for the fermentative production of succinic acid using an engineered strain of E. coli JW1021, during which the expression of mgtC gene was controlled at "ON" state and that of pepc and ecaA genes were controlled at the "OFF" state in the lag phase and switched to the "OFF" and "ON" state once the strain enters the logarithmic phase. The results showed that using the strain of JW1021, the yield and productivity of succinic acid can reach 0.91 g g-1 and 3.25 g L-1 h-1, respectively, much higher than those using the strains without harboring the riboregulator switch system. |
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 % |
|---|---|---|
| United States | 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 25% |
| Student > Master | 3 | 15% |
| Other | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 20% |
| Biochemistry, Genetics and Molecular Biology | 4 | 20% |
| Engineering | 2 | 10% |
| Physics and Astronomy | 1 | 5% |
| Chemical Engineering | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 8 | 40% |
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 06 February 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Journal of Industrial Microbiology & Biotechnology
#1,360
of 1,612 outputs
Outputs of similar age
#252,654
of 343,807 outputs
Outputs of similar age from Journal of Industrial Microbiology & Biotechnology
#4
of 11 outputs
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