| Title |
Fine-Tuned Protein Production in Methanosarcina acetivorans C2A
|
|---|---|
| Published in |
ACS Synthetic Biology, June 2018
|
| DOI | 10.1021/acssynbio.8b00062 |
| Pubmed ID | |
| Authors |
Ann A. Karim, Daniel R. Gestaut, Maeva Fincker, John C. Ruth, Eric C. Holmes, Wayne Sheu, Alfred M. Spormann |
| Abstract |
Methanogenic Archaea can be integrated into a sustainable, carbon-neutral cycle for producing organic chemicals from C1 compounds if the rate, yield and titer of product synthesis can be improved using metabolic engineering. However, metabolic engineering techniques are limited in methanogens by insufficient methods for controlling cellular protein levels. We conducted a systematic approach to tune protein levels in Methanosarcina acetivorans C2A, a model methanogen, by regulating transcription and translation initiation. Rationally designed core promoter and ribosome bind site mutations in M. acetivorans C2A resulted in a predicable change in protein levels over a 60 fold range. The overall range of protein levels was increased an additional 3 fold by introducing the 5' untranslated region of the mcrB transcript. This work demonstrates a wide range of precisely controlled protein levels in M. acetivorans C2A which will help facilitate systematic metabolic engineering efforts in methanogens. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 75% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 25% |
| Researcher | 7 | 22% |
| Student > Master | 4 | 13% |
| Student > Doctoral Student | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Other | 2 | 6% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 34% |
| Agricultural and Biological Sciences | 7 | 22% |
| Chemical Engineering | 2 | 6% |
| Environmental Science | 2 | 6% |
| Engineering | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 5 | 16% |