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A pathway independent multi-modular ordered control system based on thermosensors and CRISPRi improves bioproduction in Bacillus subtilis
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A pathway independent multi-modular ordered control system based on thermosensors and CRISPRi improves bioproduction in Baci.pdf | Published version | 3.79 MB | Adobe PDF | View/Open |
Title: | A pathway independent multi-modular ordered control system based on thermosensors and CRISPRi improves bioproduction in Bacillus subtilis |
Authors: | Yu, W Jin, K Wu, Y Zhang, Q Liu, Y Li, J Du, G Chen, J Lv, X Ledesma-Amaro, R Liu, L |
Item Type: | Journal Article |
Abstract: | Dynamic regulation is an effective strategy for control of gene expression in microbial cell factories. In some pathway contexts, several metabolic modules must be controlled in a time dependent or ordered manner to maximize production, while the creation of genetic circuits with ordered regulation capacity still remains a great challenge. In this work, we develop a pathway independent and programmable system that enables multi-modular ordered control of metabolism in Bacillus subtilis. First, a series of thermosensors were created and engineered to expand their thresholds. Then we designed single-input-multi-output circuits for ordered control based on the use of thermosensors with different transition points. Meanwhile, a repression circuit was constructed by combining CRISPRi-based NOT gates. As a proof-of-concept, these genetic circuits were applied for multi-modular ordered control of 2′-fucosyllactose (2′-FL) biosynthesis, resulting in a production of 1839.7 mg/l in shake flask, which is 5.16-times that of the parental strain. In a 5-l bioreactor, the 2′-FL titer reached 28.2 g/l with down-regulation of autolysis. Taken together, this work provides programmable and versatile thermosensitive genetic toolkits for dynamic regulation in B. subtilis and a multi-modular ordered control framework that can be used to improve metabolic modules in other chassis cells and for other compounds. |
Issue Date: | 7-Jun-2022 |
Date of Acceptance: | 21-May-2022 |
URI: | http://hdl.handle.net/10044/1/98862 |
DOI: | 10.1093/nar/gkac476 |
ISSN: | 0305-1048 |
Publisher: | Oxford University Press |
Start Page: | 6587 |
End Page: | 6600 |
Journal / Book Title: | Nucleic Acids Research |
Volume: | 50 |
Issue: | 11 |
Copyright Statement: | © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
Keywords: | Science & Technology Life Sciences & Biomedicine Biochemistry & Molecular Biology METABOLIC FLUX DYNAMIC REGULATION Science & Technology Life Sciences & Biomedicine Biochemistry & Molecular Biology METABOLIC FLUX DYNAMIC REGULATION Developmental Biology 05 Environmental Sciences 06 Biological Sciences 08 Information and Computing Sciences |
Publication Status: | Published |
Online Publication Date: | 2022-06-07 |
Appears in Collections: | Bioengineering Faculty of Engineering |
This item is licensed under a Creative Commons License