In-situ generation of large numbers of genetic combinations for metabolic reprogramming via CRISPR-guided base editing
To obtain optimal yield and productivity in bioproduction, expression of pathway genes must be appropriately coordinated. Here, the authors report repurposing of base editors for simultaneous regulation of multiple gene expression and demonstrate its application in industrially important and model m...
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| Format: | Article |
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Nature Publishing Group
2021-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-21003-y |
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doaj-33779273c5a84abd9c7115b63093df482021-01-31T12:20:11ZengNature Publishing GroupNature Communications2041-17232021-01-0112111210.1038/s41467-021-21003-yIn-situ generation of large numbers of genetic combinations for metabolic reprogramming via CRISPR-guided base editingYu Wang0Haijiao Cheng1Yang Liu2Ye Liu3Xiao Wen4Kun Zhang5Xiaomeng Ni6Ning Gao7Liwen Fan8Zhihui Zhang9Jiao Liu10Jiuzhou Chen11Lixian Wang12Yanmei Guo13Ping Zheng14Meng Wang15Jibin Sun16Yanhe Ma17Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesKey Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of SciencesTo obtain optimal yield and productivity in bioproduction, expression of pathway genes must be appropriately coordinated. Here, the authors report repurposing of base editors for simultaneous regulation of multiple gene expression and demonstrate its application in industrially important and model microorganisms.https://doi.org/10.1038/s41467-021-21003-y |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Yu Wang Haijiao Cheng Yang Liu Ye Liu Xiao Wen Kun Zhang Xiaomeng Ni Ning Gao Liwen Fan Zhihui Zhang Jiao Liu Jiuzhou Chen Lixian Wang Yanmei Guo Ping Zheng Meng Wang Jibin Sun Yanhe Ma |
| spellingShingle |
Yu Wang Haijiao Cheng Yang Liu Ye Liu Xiao Wen Kun Zhang Xiaomeng Ni Ning Gao Liwen Fan Zhihui Zhang Jiao Liu Jiuzhou Chen Lixian Wang Yanmei Guo Ping Zheng Meng Wang Jibin Sun Yanhe Ma In-situ generation of large numbers of genetic combinations for metabolic reprogramming via CRISPR-guided base editing Nature Communications |
| author_facet |
Yu Wang Haijiao Cheng Yang Liu Ye Liu Xiao Wen Kun Zhang Xiaomeng Ni Ning Gao Liwen Fan Zhihui Zhang Jiao Liu Jiuzhou Chen Lixian Wang Yanmei Guo Ping Zheng Meng Wang Jibin Sun Yanhe Ma |
| author_sort |
Yu Wang |
| title |
In-situ generation of large numbers of genetic combinations for metabolic reprogramming via CRISPR-guided base editing |
| title_short |
In-situ generation of large numbers of genetic combinations for metabolic reprogramming via CRISPR-guided base editing |
| title_full |
In-situ generation of large numbers of genetic combinations for metabolic reprogramming via CRISPR-guided base editing |
| title_fullStr |
In-situ generation of large numbers of genetic combinations for metabolic reprogramming via CRISPR-guided base editing |
| title_full_unstemmed |
In-situ generation of large numbers of genetic combinations for metabolic reprogramming via CRISPR-guided base editing |
| title_sort |
in-situ generation of large numbers of genetic combinations for metabolic reprogramming via crispr-guided base editing |
| publisher |
Nature Publishing Group |
| series |
Nature Communications |
| issn |
2041-1723 |
| publishDate |
2021-01-01 |
| description |
To obtain optimal yield and productivity in bioproduction, expression of pathway genes must be appropriately coordinated. Here, the authors report repurposing of base editors for simultaneous regulation of multiple gene expression and demonstrate its application in industrially important and model microorganisms. |
| url |
https://doi.org/10.1038/s41467-021-21003-y |
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