| Title |
Exploring native genetic elements as plug-in tools for synthetic biology in the cyanobacterium Synechocystis sp. PCC 6803
|
|---|---|
| Published in |
Microbial Cell Factories, March 2018
|
| DOI | 10.1186/s12934-018-0897-8 |
| Pubmed ID | |
| Authors |
Deng Liu, Himadri B. Pakrasi |
| Abstract |
The unicellular cyanobacterium Synechocystis sp. PCC 6803 has been widely used as a photoautotrophic host for synthetic biology studies. However, as a green chassis to capture CO2for biotechnological applications, the genetic toolbox for Synechocystis 6803 is still a limited factor. We systematically characterized endogenous genetic elements of Synechocystis 6803, including promoters, ribosome binding sites, transcription terminators, and plasmids. Expression from twelve native promoters was compared by measuring fluorescence from the reporter protein EYFP in an identical setup, exhibiting an 8000-fold range of promoter activities. Moreover, we measured the strength of twenty native ribosome binding sites and eight native terminators, indicating their influence on the expression of the reporter genes. In addition, two shuttle vectors, pCA-UC118 and pCB-SC101, capable of replication in both Synechocystis 6803 and E. coli were constructed. Expression of reporter proteins were significantly enhanced in cells containing these new plasmids, thus providing superior gene expression platforms in this cyanobacterium. The results of this study provide useful and well characterized native tools for bioengineering work in the model cyanobacterium Synechocystis 6803. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 2 | 50% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 148 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 21% |
| Student > Master | 22 | 15% |
| Researcher | 21 | 14% |
| Student > Bachelor | 18 | 12% |
| Student > Doctoral Student | 6 | 4% |
| Other | 10 | 7% |
| Unknown | 40 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 58 | 39% |
| Agricultural and Biological Sciences | 28 | 19% |
| Engineering | 5 | 3% |
| Chemical Engineering | 3 | 2% |
| Chemistry | 2 | 1% |
| Other | 6 | 4% |
| Unknown | 46 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 April 2018.
All research outputs
#14,381,804
of 23,031,582 outputs
Outputs from Microbial Cell Factories
#883
of 1,613 outputs
Outputs of similar age
#187,520
of 330,380 outputs
Outputs of similar age from Microbial Cell Factories
#21
of 35 outputs
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