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Lim SR, Lee SJ. Multiplex CRISPR-Cas Genome Editing: Next-Generation Microbial Strain Engineering. J Agric Food Chem 2024. [PMID: 38744727 DOI: 10.1021/acs.jafc.4c01650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Genome editing is a crucial technology for obtaining desired phenotypes in a variety of species, ranging from microbes to plants, animals, and humans. With the advent of CRISPR-Cas technology, it has become possible to edit the intended sequence by modifying the target recognition sequence in guide RNA (gRNA). By expressing multiple gRNAs simultaneously, it is possible to edit multiple targets at the same time, allowing for the simultaneous introduction of various functions into the cell. This can significantly reduce the time and cost of obtaining engineered microbial strains for specific traits. In this review, we investigate the resolution of multiplex genome editing and its application in engineering microorganisms, including bacteria and yeast. Furthermore, we examine how recent advancements in artificial intelligence technology could assist in microbial genome editing and engineering. Based on these insights, we present our perspectives on the future evolution and potential impact of multiplex genome editing technologies in the agriculture and food industry.
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Affiliation(s)
- Se Ra Lim
- Department of Systems Biotechnology and Institute of Microbiomics, Chung-Ang University, Anseong 17546, Republic of Korea
| | - Sang Jun Lee
- Department of Systems Biotechnology and Institute of Microbiomics, Chung-Ang University, Anseong 17546, Republic of Korea
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2
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Zhang B, Cao J. Improving and Streamlining Gene Editing in Yarrowia lipolytica via Integration of Engineered Cas9 Protein. J Fungi (Basel) 2024; 10:63. [PMID: 38248972 PMCID: PMC10817246 DOI: 10.3390/jof10010063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/06/2024] [Accepted: 01/10/2024] [Indexed: 01/23/2024] Open
Abstract
The oleaginous yeast Yarrowia lipolytica is a prominent subject of biorefinery research due to its exceptional performance in oil production, exogenous protein secretion, and utilization of various inexpensive carbon sources. Many CRISPR/Cas9 genome-editing systems have been developed for Y. lipolytica to meet the high demand for metabolic engineering studies. However, these systems often necessitate an additional outgrowth step to achieve high gene editing efficiency. In this study, we introduced the eSpCas9 protein, derived from the Streptococcus pyogenes Cas9(SpCas9) protein, into the Y. lipolytica genome to enhance gene editing efficiency and fidelity, and subsequently explored the optimal expression level of eSpCas9 gene by utilizing different promoters and selecting various growth periods for yeast transformation. The results demonstrated that the integrated eSpCas9 gene editing system significantly enhanced gene editing efficiency, increasing from 16.61% to 86.09% on TRP1 and from 33.61% to 95.19% on LIP2, all without the need for a time-consuming outgrowth step. Furthermore, growth curves and dilution assays indicated that the consistent expression of eSpCas9 protein slightly suppressed the growth of Y. lipolytica, revealing that strong inducible promoters may be a potential avenue for future research. This work simplifies the gene editing process in Y. lipolytica, thus advancing its potential as a natural product synthesis chassis and providing valuable insights for other comparable microorganisms.
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Affiliation(s)
- Baixi Zhang
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China;
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China
| | - Jiacan Cao
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China;
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3
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Bai W, Huang M, Li C, Li J. The biological principles and advanced applications of DSB repair in CRISPR-mediated yeast genome editing. Synth Syst Biotechnol 2023; 8:584-596. [PMID: 37711546 PMCID: PMC10497738 DOI: 10.1016/j.synbio.2023.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 08/24/2023] [Accepted: 08/29/2023] [Indexed: 09/16/2023] Open
Abstract
To improve the performance of yeast cell factories for industrial production, extensive CRISPR-mediated genome editing systems have been applied by artificially creating double-strand breaks (DSBs) to introduce mutations with the assistance of intracellular DSB repair. Diverse strategies of DSB repair are required to meet various demands, including precise editing or random editing with customized gRNAs or a gRNA library. Although most yeasts remodeling techniques have shown rewarding performance in laboratory verification, industrial yeast strain manipulation relies only on very limited strategies. Here, we comprehensively reviewed the molecular mechanisms underlying recent industrial applications to provide new insights into DSB cleavage and repair pathways in both Saccharomyces cerevisiae and other unconventional yeast species. The discussion of DSB repair covers the most frequently used homologous recombination (HR) and nonhomologous end joining (NHEJ) strategies to the less well-studied illegitimate recombination (IR) pathways, such as single-strand annealing (SSA) and microhomology-mediated end joining (MMEJ). Various CRISPR-based genome editing tools and corresponding gene editing efficiencies are described. Finally, we summarize recently developed CRISPR-based strategies that use optimized DSB repair for genome-scale editing, providing a direction for further development of yeast genome editing.
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Affiliation(s)
- Wenxin Bai
- Institute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, 100081, Beijing, PR China
- The BIT-QUB International Joint Laboratory in Synthetic Biology, Beijing, 100081, PR China
| | - Meilan Huang
- School of Chemistry and Chemical Engineering, David Keir Building, Queen's University Belfast, Stranmillis Road, Northern Ireland, BT9 5AG, Belfast, United Kingdom
- The BIT-QUB International Joint Laboratory in Synthetic Biology, Beijing, 100081, PR China
| | - Chun Li
- Institute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, 100081, Beijing, PR China
- Key Lab for Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, PR China
| | - Jun Li
- Institute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, 100081, Beijing, PR China
- The BIT-QUB International Joint Laboratory in Synthetic Biology, Beijing, 100081, PR China
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Chang T, Ding W, Yan S, Wang Y, Zhang H, Zhang Y, Ping Z, Zhang H, Huang Y, Zhang J, Wang D, Zhang W, Xu X, Shen Y, Fu X. A robust yeast biocontainment system with two-layered regulation switch dependent on unnatural amino acid. Nat Commun 2023; 14:6487. [PMID: 37838746 PMCID: PMC10576815 DOI: 10.1038/s41467-023-42358-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 10/09/2023] [Indexed: 10/16/2023] Open
Abstract
Synthetic auxotrophy in which cell viability depends on the presence of an unnatural amino acid (unAA) provides a powerful strategy to restrict unwanted propagation of genetically modified organisms (GMOs) in open environments and potentially prevent industrial espionage. Here, we describe a generic approach for robust biocontainment of budding yeast dependent on unAA. By understanding escape mechanisms, we specifically optimize our strategies by introducing designed "immunity" to the generation of amber-suppressor tRNAs and developing the transcriptional- and translational-based biocontainment switch. We further develop a fitness-oriented screening method to easily obtain multiplex safeguard strains that exhibit robust growth and undetectable escape frequency (<~10-9) on solid media for 14 days. Finally, we show that employing our multiplex safeguard system could restrict the proliferation of strains of interest in a real fermentation scenario, highlighting the great potential of our yeast biocontainment strategy to protect the industrial proprietary strains.
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Affiliation(s)
- Tiantian Chang
- College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China
- BGI Research, Shenzhen, 518083, China
| | - Weichao Ding
- College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China
- BGI Research, Shenzhen, 518083, China
- BGI Research, Changzhou, 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China
| | - Shirui Yan
- BGI Research, Shenzhen, 518083, China
- BGI Research, Changzhou, 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China
| | - Yun Wang
- BGI Research, Shenzhen, 518083, China
- BGI Research, Changzhou, 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China
| | - Haoling Zhang
- BGI Research, Shenzhen, 518083, China
- BGI Research, Changzhou, 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China
| | - Yu Zhang
- BGI Research, Shenzhen, 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China
| | - Zhi Ping
- BGI Research, Shenzhen, 518083, China
- BGI Research, Changzhou, 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China
| | - Huiming Zhang
- College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China
- BGI Research, Shenzhen, 518083, China
| | - Yijian Huang
- College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China
- BGI Research, Shenzhen, 518083, China
| | - Jiahui Zhang
- College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China
- BGI Research, Shenzhen, 518083, China
| | - Dan Wang
- Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, BNU-HKBU United International College, Zhuhai, 519087, China
- BNU-HKBU United International College, Zhuhai, 519087, China
| | - Wenwei Zhang
- BGI Research, Shenzhen, 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China
| | - Xun Xu
- BGI Research, Shenzhen, 518083, China
- BGI Research, Changzhou, 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China
| | - Yue Shen
- College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China.
- BGI Research, Shenzhen, 518083, China.
- BGI Research, Changzhou, 213299, China.
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China.
| | - Xian Fu
- BGI Research, Shenzhen, 518083, China.
- BGI Research, Changzhou, 213299, China.
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China.
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Wang D, Jin S, Lu Q, Chen Y. Advances and Challenges in CRISPR/Cas-Based Fungal Genome Engineering for Secondary Metabolite Production: A Review. J Fungi (Basel) 2023; 9:362. [PMID: 36983530 PMCID: PMC10058990 DOI: 10.3390/jof9030362] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 03/10/2023] [Accepted: 03/14/2023] [Indexed: 03/18/2023] Open
Abstract
Fungi represent an important source of bioactive secondary metabolites (SMs), which have wide applications in many fields, including medicine, agriculture, human health, and many other industries. The genes involved in SM biosynthesis are usually clustered adjacent to each other into a region known as a biosynthetic gene cluster (BGC). The recent advent of a diversity of genetic and genomic technologies has facilitated the identification of many cryptic or uncharacterized BGCs and their associated SMs. However, there are still many challenges that hamper the broader exploration of industrially important secondary metabolites. The recent advanced CRISPR/Cas system has revolutionized fungal genetic engineering and enabled the discovery of novel bioactive compounds. In this review, we firstly introduce fungal BGCs and their relationships with associated SMs, followed by a brief summary of the conventional strategies for fungal genetic engineering. Next, we introduce a range of state-of-the-art CRISPR/Cas-based tools that have been developed and review recent applications of these methods in fungi for research on the biosynthesis of SMs. Finally, the challenges and limitations of these CRISPR/Cas-based systems are discussed and directions for future research are proposed in order to expand their applications and improve efficiency for fungal genetic engineering.
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6
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Cai G, Lin Z, Shi S. Development and expansion of the CRISPR/Cas9 toolboxes for powerful genome engineering in yeast. Enzyme Microb Technol 2022; 159:110056. [PMID: 35561628 DOI: 10.1016/j.enzmictec.2022.110056] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 04/29/2022] [Accepted: 05/04/2022] [Indexed: 01/09/2023]
Abstract
Yeasts represent a group of the microorganisms most frequently seen in biotechnology. Recently, the class 2 type II CRISPR system (CRISPR/Cas9) has become the principal toolbox for genome editing. By efficiently implementing genetic manipulations such as gene integration/knockout, base editor, and transcription regulation, the development of biotechnological applications in yeasts has been extensively promoted. The genome-level tools based on CRISPR/Cas9, used for screening and identifying functional genes/gene clusters, are also advancing. In general, CRISPR/Cas9-assisted editing tools have gradually become standardized and function as host-orthogonal genetic systems, which results in time-saving for strain engineering and biotechnological application processes. In this review, we summarize the key points of the basic elements in the CRISPR/Cas9 system, including Cas9 variants, guide RNA, donors, and effectors. With a focus on yeast, we have also introduced the development of various CRISPR/Cas9 systems and discussed their future possibilities.
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Affiliation(s)
- Guang Cai
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, PR China
| | - Zhenquan Lin
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, PR China
| | - Shuobo Shi
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, PR China.
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Li ZJ, Zhang ZX, Xu Y, Shi TQ, Ye C, Sun XM, Huang H. CRISPR-Based Construction of a BL21 (DE3)-Derived Variant Strain Library to Rapidly Improve Recombinant Protein Production. ACS Synth Biol 2022; 11:343-352. [PMID: 34919397 DOI: 10.1021/acssynbio.1c00463] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Escherichia coli BL21 (DE3) is the most widely used host for recombinant protein expression. However, not every protein can be highly expressed in BL21 (DE3), so individual optimization strategies are often required for different proteins, which is time-consuming and difficult to apply rapidly for industrial production. Constructing more hosts is a good choice to enrich protein expression selection. The expression level of T7 RNAP is the core control node of the pET expression system, so regulating its expression level is an effective way of improving the production of difficult-to-express proteins. Various BL21 (DE3)-derived variant hosts with different translation levels of T7 RNAP could be obtained by changing the ribosomal binding site (RBS) sequences of T7 RNAP in a genome. Here, a BL21 (DE3)-derived variant strain library with different RBS sequences of T7 RNAP was constructed using a base editor and CRISPR-Cas9. Notably, the CRISPR-Cas9 system combined with degenerate primers enabled the construction of an RBS library with 87.5% of the theoretical coverage in single editing, which is more convenient and efficient than the use of a base editor. The expression level of a target gene in the variant strain library ranged from 28 to 220% of the parental strain. Furthermore, a high-throughput host-screening platform for recombinant protein production was constructed, which enabled us to obtain the best expression host for certain target proteins in only 3 days. As a proof of concept, the production of all eight difficult-to-express proteins was greatly improved, including autolytic protein, membrane proteins, antimicrobial peptides, and hardly soluble proteins. Among them, the expression of glucose dehydrogenase in the best host exhibited a 298-fold increase compared to the parental strain. This strategy is simple and effective, requires no advanced equipment, and can be carried out in any laboratory.
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Affiliation(s)
- Zi-Jia Li
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, 2 Xuelin Road, Qixia District, Nanjing 210023, People’s Republic of China
| | - Zi-Xu Zhang
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, 2 Xuelin Road, Qixia District, Nanjing 210023, People’s Republic of China
| | - Yan Xu
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, 2 Xuelin Road, Qixia District, Nanjing 210023, People’s Republic of China
| | - Tian-Qiong Shi
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, 2 Xuelin Road, Qixia District, Nanjing 210023, People’s Republic of China
| | - Chao Ye
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, 2 Xuelin Road, Qixia District, Nanjing 210023, People’s Republic of China
| | - Xiao-Man Sun
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, 2 Xuelin Road, Qixia District, Nanjing 210023, People’s Republic of China
| | - He Huang
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, 2 Xuelin Road, Qixia District, Nanjing 210023, People’s Republic of China
- College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, No. 30 South Puzhu Road, Nanjing 211816, People’s Republic of China
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Wang J, Nielsen J, Liu Z. Synthetic Biology Advanced Natural Product Discovery. Metabolites 2021; 11:785. [PMID: 34822443 DOI: 10.3390/metabo11110785] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 11/10/2021] [Accepted: 11/12/2021] [Indexed: 01/16/2023] Open
Abstract
A wide variety of bacteria, fungi and plants can produce bioactive secondary metabolites, which are often referred to as natural products. With the rapid development of DNA sequencing technology and bioinformatics, a large number of putative biosynthetic gene clusters have been reported. However, only a limited number of natural products have been discovered, as most biosynthetic gene clusters are not expressed or are expressed at extremely low levels under conventional laboratory conditions. With the rapid development of synthetic biology, advanced genome mining and engineering strategies have been reported and they provide new opportunities for discovery of natural products. This review discusses advances in recent years that can accelerate the design, build, test, and learn (DBTL) cycle of natural product discovery, and prospects trends and key challenges for future research directions.
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