|
1
|
Yao Y, Zhang W, Zhang M, Jin S, Guo Y, Zu Y, Ren K, Wang K, Chen G, Lou C, Wu Q. A Direct RNA-to-RNA Replication System for Enhanced Gene Expression in Bacteria. ACS Synth Biol 2019; 8:1067-1078. [PMID: 31070362 DOI: 10.1021/acssynbio.8b00521] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
A long-standing objective of metabolic engineering has been to exogenously increase the expression of target genes. In this research, we proposed the permanent RNA replication system using DNA as a template to store genetic information in bacteria. We selected Qβ phage as the RNA replication prototype and made many improvements to achieve target gene expression enhancement directly by increasing mRNA abundance. First, we identified the endogenous gene Rnc, the knockout of which significantly improved the RNA replication efficiency. Second, we elucidated the essential elements for RNA replication and optimized the system to make it more easily applicable. Combined with optimization of the host cell and the system itself, we developed a stable RNA-to-RNA replication tool to directly increase the abundance of the target mRNA and subsequently the target protein. Furthermore, it was proven efficient in enhancing the expression of specific proteins and was demonstrated to be applicable in metabolic engineering. Our system has the potential to be combined with any of the existing methods for increasing gene expression.
Collapse
Affiliation(s)
- Yi Yao
- MOE Key Lab of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Wenhui Zhang
- MOE Key Lab of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Min Zhang
- MOE Key Lab of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Shouhong Jin
- MOE Key Lab of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Yingying Guo
- MOE Key Lab of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
- Peking-Tsinghua Center for Life Sciences, School of Life Science, Tsinghua University, Beijing 100084, China
- Center for Synthetic and Systems Biology, Tsinghua University, Beijing 100084, China
| | - Yumeng Zu
- MOE Key Lab of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Kang Ren
- MOE Key Lab of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Kun Wang
- MOE Key Lab of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Guoqiang Chen
- Peking-Tsinghua Center for Life Sciences, School of Life Science, Tsinghua University, Beijing 100084, China
- Center for Synthetic and Systems Biology, Tsinghua University, Beijing 100084, China
- MOE Key Lab of Industrial Biocatalysis, Tsinghua University, Beijing 100081, China
| | - Chunbo Lou
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- CAS Key Laboratory of Microbial Physiological and Metabolic Engineering and Institute of Microbiology, State Key Laboratory of Microbial Resources, Institute of Microbiology Chinese Academy of Sciences, Beijing 100101, China
| | - Qiong Wu
- MOE Key Lab of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
- Center for Synthetic and Systems Biology, Tsinghua University, Beijing 100084, China
| |
Collapse
|