1
|
Chen R, Ren S, Li S, Zhou H, Jia X, Han D, Gao Z. Synthetic biology for the food industry: advances and challenges. Crit Rev Biotechnol 2025; 45:23-47. [PMID: 38797660 DOI: 10.1080/07388551.2024.2340530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 03/09/2024] [Accepted: 03/13/2024] [Indexed: 05/29/2024]
Abstract
As global environmental pollution increases, climate change worsens, and population growth continues, the challenges of securing a safe, nutritious, and sustainable food supply have become enormous. This has led to new requirements for future food supply methods and functions. The use of synthetic biology technology to create cell factories suitable for food industry production and renewable raw material conversion into: important food components, functional food additives, and nutritional chemicals, represents an important method of solving the problems faced by the food industry. Here, we review the recent progress and applications of synthetic biology in the food industry, including alternatives to: traditional (artificial pigments, meat, starch, and milk), functional (sweeteners, sugar substitutes, nutrients, flavoring agents), and green (green fiber, degradable packing materials, green packaging materials and food traceability) foods. Furthermore, we discuss the future prospects of synthetic biology-based applications in the food industry. Thus, this review may serve as a reference for research on synthetic biology in the: food safety, food nutrition, public health, and health-related fields.
Collapse
Affiliation(s)
- Ruipeng Chen
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Shuyue Ren
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Shuang Li
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Huanying Zhou
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Xuexia Jia
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Dianpeng Han
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Zhixian Gao
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| |
Collapse
|
2
|
Lin ZM, Xiang M, Wei WH, Fan SH, Chen L, Wang J, Yang XQ, Yang CH, He SJ, Zuo JP. Identification of a dual functional betulinic acid analog for the treatment of osteoarthritis by phenotypic screening. SCIENCE CHINA. LIFE SCIENCES 2025; 68:300-302. [PMID: 39465461 DOI: 10.1007/s11427-023-2587-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 04/10/2024] [Indexed: 10/29/2024]
Affiliation(s)
- Ze-Min Lin
- Laboratory of Immunopharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
| | - Mai Xiang
- Laboratory of Immunopharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- School of Pharmacy, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wen-Hui Wei
- Laboratory of Immunopharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- School of Pharmacy, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Shu-Hui Fan
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Li Chen
- Laboratory of Immunopharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Jie Wang
- State Key Laboratory of Drug Research, Department of Medicinal Chemistry, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Xiao-Qian Yang
- Laboratory of Immunopharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Chun-Hao Yang
- State Key Laboratory of Drug Research, Department of Medicinal Chemistry, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
| | - Shi-Jun He
- Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
| | - Jian-Ping Zuo
- Laboratory of Immunopharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
- School of Pharmacy, University of Chinese Academy of Sciences, Beijing, 100049, China.
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
- Experiment Center for Science and Technology, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
| |
Collapse
|
3
|
Tang M, Xu X, Liu Y, Li J, Du G, Lv X, Liu L. Combinatorial Metabolic Engineering for Improving Betulinic Acid Biosynthesis in Saccharomyces cerevisiae. ACS Synth Biol 2024; 13:1798-1808. [PMID: 38748665 DOI: 10.1021/acssynbio.4c00104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Abstract
Betulinic acid (BA) is a lupane-type triterpenoid with potent anticancer and anti-HIV activities. Its great potential in clinical applications necessitates the development of an efficient strategy for BA synthesis. This study attempted to achieve efficient BA biosynthesis in Saccharomyces cerevisiae using systematic metabolic engineering strategies. First, a de novo BA biosynthesis pathway in S. cerevisiae was constructed, which yielded a titer of 14.01 ± 0.21 mg/L. Then, by enhancing the BA synthesis pathway and dynamic inhibition of the competitive pathway, a greater proportion of the metabolic flow was directed toward BA synthesis, achieving a titer of 88.07 ± 5.83 mg/L. Next, acetyl-CoA and NADPH supply was enhanced, which increased the BA titer to 166.43 ± 1.83 mg/L. Finally, another BA synthesis pathway in the peroxisome was constructed. Dual regulation of the peroxisome and cytoplasmic metabolism increased the BA titer to 210.88 ± 4.76 mg/L. Following fed-batch fermentation process modification, the BA titer reached 682.29 ± 8.16 mg/L. Overall, this work offers a guide for building microbial cell factories that are capable of producing terpenoids with efficiency.
Collapse
Affiliation(s)
- Mei Tang
- Science Center for Future Foods, Jiangnan University, Wuxi 214122, China
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi 214122, China
| | - Xianhao Xu
- Science Center for Future Foods, Jiangnan University, Wuxi 214122, China
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi 214122, China
| | - Yanfeng Liu
- Science Center for Future Foods, Jiangnan University, Wuxi 214122, China
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi 214122, China
| | - Jianghua Li
- Science Center for Future Foods, Jiangnan University, Wuxi 214122, China
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi 214122, China
| | - Guocheng Du
- Science Center for Future Foods, Jiangnan University, Wuxi 214122, China
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi 214122, China
| | - Xueqin Lv
- Science Center for Future Foods, Jiangnan University, Wuxi 214122, China
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi 214122, China
| | - Long Liu
- Science Center for Future Foods, Jiangnan University, Wuxi 214122, China
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi 214122, China
- Institute of Future Food and Technology, JITRI, Yixing 214200, China
| |
Collapse
|
4
|
Fu X, Shen Y. Synthetic Genomics: Repurposing Biological Systems for Applications in Engineering Biology. ACS Synth Biol 2024; 13:1394-1399. [PMID: 38757697 PMCID: PMC11106769 DOI: 10.1021/acssynbio.4c00006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Indexed: 05/18/2024]
Abstract
Substantial improvements in DNA sequencing and synthesis technologies and increased understanding of genome biology have empowered the development of synthetic genomics. The ability to design and construct engineered living cells boosted up by synthetic chromosomes provides opportunities to tackle enormous current and future challenges faced by humanity and the planet. Here we review the progresses, considerations, challenges, and future direction of the "design-build-test-learn" cycle used in synthetic genomics. We also discuss future applications enabled by synthetic genomics as this emerging field shapes and revolutionizes biomanufacturing and biomedicine.
Collapse
Affiliation(s)
- Xian Fu
- BGI
Research, Changzhou 213299, China
- BGI
Research, Shenzhen 518083, China
- Guangdong
Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen 518083, China
| | - Yue Shen
- BGI
Research, Changzhou 213299, China
- BGI
Research, Shenzhen 518083, China
- Guangdong
Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen 518083, China
| |
Collapse
|
5
|
Lindeboom TA, Sanchez Olmos MDC, Schulz K, Brinkmann CK, Ramírez Rojas AA, Hochrein L, Schindler D. An Optimized Genotyping Workflow for Identifying Highly SCRaMbLEd Synthetic Yeasts. ACS Synth Biol 2024; 13:1116-1127. [PMID: 38597458 PMCID: PMC11036488 DOI: 10.1021/acssynbio.3c00476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 03/01/2024] [Accepted: 03/25/2024] [Indexed: 04/11/2024]
Abstract
Synthetic Sc2.0 yeast strains contain hundreds to thousands of loxPsym recombination sites that allow restructuring of the Saccharomyces cerevisiae genome by SCRaMbLE. Thus, a highly diverse yeast population can arise from a single genotype. The selection of genetically diverse candidates with rearranged synthetic chromosomes for downstream analysis requires an efficient and straightforward workflow. Here we present loxTags, a set of qPCR primers for genotyping across loxPsym sites to detect not only deletions but also inversions and translocations after SCRaMbLE. To cope with the large number of amplicons, we generated qTagGer, a qPCR genotyping primer prediction tool. Using loxTag-based genotyping and long-read sequencing, we show that light-inducible Cre recombinase L-SCRaMbLE can efficiently generate diverse recombination events when applied to Sc2.0 strains containing a linear or a circular version of synthetic chromosome III.
Collapse
Affiliation(s)
- Timon A Lindeboom
- Max Planck Institute for Terrestrial Microbiology, Karl-von-Frisch-Str. 10, 35043 Marburg, Germany
| | | | - Karina Schulz
- Department of Molecular Biology, University of Potsdam, Karl-Liebknecht-Str. 24/25, 14476 Potsdam, Germany
| | - Cedric K Brinkmann
- Max Planck Institute for Terrestrial Microbiology, Karl-von-Frisch-Str. 10, 35043 Marburg, Germany
| | - Adán A Ramírez Rojas
- Max Planck Institute for Terrestrial Microbiology, Karl-von-Frisch-Str. 10, 35043 Marburg, Germany
| | - Lena Hochrein
- Department of Molecular Biology, University of Potsdam, Karl-Liebknecht-Str. 24/25, 14476 Potsdam, Germany
| | - Daniel Schindler
- Max Planck Institute for Terrestrial Microbiology, Karl-von-Frisch-Str. 10, 35043 Marburg, Germany
- Center for Synthetic Microbiology, Philipps-University Marburg, Karl-von-Frisch-Str. 14, 35032Marburg, Germany
| |
Collapse
|
6
|
Xu J, Sun Y, Wu J, Yang S, Yang L. Chromosome recombination and modification by LoxP-mediated evolution in Vibrio natriegens using CRISPR-associated transposases. Biotechnol Bioeng 2024; 121:1163-1172. [PMID: 38131162 DOI: 10.1002/bit.28639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 11/18/2023] [Accepted: 11/30/2023] [Indexed: 12/23/2023]
Abstract
Chromosome rearrangement by LoxP-mediated evolution has emerged as a powerful approach to studying how chromosome architecture impacts phenotypes. However, it relies on the in vitro synthesis of artificial chromosomes. The recently reported CRISPR-associated transposases (CASTs) held great promise for the efficient insertion of abundant LoxP sites directly onto the genome of wild-type strains. In this study, with the fastest-growing bacterium Vibrio natrigens (V. natriegens) as an object, a multiplex genome integration tool derived from CASTs was employed to achieve the insertion of cargo genes at eight specific genomic loci within 2 days. Next, we introduced 30 LoxP sites onto chromosome 2 (Chr2) of V. natriegens. Rigorously induced Cre recombinase was used to demonstrate Chromosome Rearrangement and Modification by LoxP-mediated Evolution (CRaMbLE). Growth characterization and genome sequencing showed that the ~358 kb fragment on Chr2 was accountable for the rapid growth of V. natriegens. The enabling tools we developed can help identify genomic regions that influence the rapid growth of V. natriegens without a prior understanding of genome mechanisms. This groundbreaking demonstration may also be extended to other organisms such as Escherichia coli, Pseudomonas putida, Bacillus subtilis, and so on.
Collapse
Affiliation(s)
- Jiaqi Xu
- Institute for Intelligent Bio/Chem Manufacturing, ZJU-Hangzhou Global Scientific and Technological Innovation Centre, Hangzhou, China
- Institute of Bioengineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China
| | - Yijie Sun
- Institute of Bioengineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China
| | - Jianping Wu
- Institute for Intelligent Bio/Chem Manufacturing, ZJU-Hangzhou Global Scientific and Technological Innovation Centre, Hangzhou, China
- Institute of Bioengineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China
| | - Sheng Yang
- Key Laboratory of Synthetic Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Lirong Yang
- Institute for Intelligent Bio/Chem Manufacturing, ZJU-Hangzhou Global Scientific and Technological Innovation Centre, Hangzhou, China
- Institute of Bioengineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China
| |
Collapse
|
7
|
Cautereels C, Smets J, Bircham P, De Ruysscher D, Zimmermann A, De Rijk P, Steensels J, Gorkovskiy A, Masschelein J, Verstrepen KJ. Combinatorial optimization of gene expression through recombinase-mediated promoter and terminator shuffling in yeast. Nat Commun 2024; 15:1112. [PMID: 38326309 PMCID: PMC10850122 DOI: 10.1038/s41467-024-44997-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/12/2024] [Indexed: 02/09/2024] Open
Abstract
Microbes are increasingly employed as cell factories to produce biomolecules. This often involves the expression of complex heterologous biosynthesis pathways in host strains. Achieving maximal product yields and avoiding build-up of (toxic) intermediates requires balanced expression of every pathway gene. However, despite progress in metabolic modeling, the optimization of gene expression still heavily relies on trial-and-error. Here, we report an approach for in vivo, multiplexed Gene Expression Modification by LoxPsym-Cre Recombination (GEMbLeR). GEMbLeR exploits orthogonal LoxPsym sites to independently shuffle promoter and terminator modules at distinct genomic loci. This approach facilitates creation of large strain libraries, in which expression of every pathway gene ranges over 120-fold and each strain harbors a unique expression profile. When applied to the biosynthetic pathway of astaxanthin, an industrially relevant antioxidant, a single round of GEMbLeR improved pathway flux and doubled production titers. Together, this shows that GEMbLeR allows rapid and efficient gene expression optimization in heterologous biosynthetic pathways, offering possibilities for enhancing the performance of microbial cell factories.
Collapse
Affiliation(s)
- Charlotte Cautereels
- VIB Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium
- Laboratory of Genetics and Genomics, Center of Microbial and Plant Genetics, Department M2S, KU Leuven, Gaston Geenslaan 1, Leuven, 3001, Belgium
| | - Jolien Smets
- VIB Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium
- Laboratory of Genetics and Genomics, Center of Microbial and Plant Genetics, Department M2S, KU Leuven, Gaston Geenslaan 1, Leuven, 3001, Belgium
| | - Peter Bircham
- VIB Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium
- Laboratory of Genetics and Genomics, Center of Microbial and Plant Genetics, Department M2S, KU Leuven, Gaston Geenslaan 1, Leuven, 3001, Belgium
| | - Dries De Ruysscher
- Molecular Biotechnology of Plants and Micro-organisms, Department of Biology, KU Leuven, Kasteelpark Arenberg 31, box 2438, Leuven, 3001, Belgium
- Laboratory for Biomolecular Discovery & Engineering, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium
| | - Anna Zimmermann
- VIB Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium
- Laboratory of Genetics and Genomics, Center of Microbial and Plant Genetics, Department M2S, KU Leuven, Gaston Geenslaan 1, Leuven, 3001, Belgium
| | - Peter De Rijk
- Neuromics Support Facility, VIB Center for Molecular Neurology, VIB, Antwerp, 2610, Belgium
- Neuromics Support Facility, Department of Biomedical Sciences, University of Antwerp, Antwerp, 2610, Belgium
| | - Jan Steensels
- VIB Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium
- Laboratory of Genetics and Genomics, Center of Microbial and Plant Genetics, Department M2S, KU Leuven, Gaston Geenslaan 1, Leuven, 3001, Belgium
| | - Anton Gorkovskiy
- VIB Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium
- Laboratory of Genetics and Genomics, Center of Microbial and Plant Genetics, Department M2S, KU Leuven, Gaston Geenslaan 1, Leuven, 3001, Belgium
| | - Joleen Masschelein
- Molecular Biotechnology of Plants and Micro-organisms, Department of Biology, KU Leuven, Kasteelpark Arenberg 31, box 2438, Leuven, 3001, Belgium
- Laboratory for Biomolecular Discovery & Engineering, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium
| | - Kevin J Verstrepen
- VIB Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium.
- Laboratory of Genetics and Genomics, Center of Microbial and Plant Genetics, Department M2S, KU Leuven, Gaston Geenslaan 1, Leuven, 3001, Belgium.
| |
Collapse
|
8
|
Cautereels C, Smets J, De Saeger J, Cool L, Zhu Y, Zimmermann A, Steensels J, Gorkovskiy A, Jacobs TB, Verstrepen KJ. Orthogonal LoxPsym sites allow multiplexed site-specific recombination in prokaryotic and eukaryotic hosts. Nat Commun 2024; 15:1113. [PMID: 38326330 PMCID: PMC10850332 DOI: 10.1038/s41467-024-44996-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/12/2024] [Indexed: 02/09/2024] Open
Abstract
Site-specific recombinases such as the Cre-LoxP system are routinely used for genome engineering in both prokaryotes and eukaryotes. Importantly, recombinases complement the CRISPR-Cas toolbox and provide the additional benefit of high-efficiency DNA editing without generating toxic DNA double-strand breaks, allowing multiple recombination events at the same time. However, only a handful of independent, orthogonal recombination systems are available, limiting their use in more complex applications that require multiple specific recombination events, such as metabolic engineering and genetic circuits. To address this shortcoming, we develop 63 symmetrical LoxP variants and test 1192 pairwise combinations to determine their cross-reactivity and specificity upon Cre activation. Ultimately, we establish a set of 16 orthogonal LoxPsym variants and demonstrate their use for multiplexed genome engineering in both prokaryotes (E. coli) and eukaryotes (S. cerevisiae and Z. mays). Together, this work yields a significant expansion of the Cre-LoxP toolbox for genome editing, metabolic engineering and other controlled recombination events, and provides insights into the Cre-LoxP recombination process.
Collapse
Affiliation(s)
- Charlotte Cautereels
- VIB Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, 3001, Belgium
| | - Jolien Smets
- VIB Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, 3001, Belgium
| | - Jonas De Saeger
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark-Zwijnaarde 71, 9052, Ghent, Belgium
- VIB Center for Plant Systems Biology, Technologiepark-Zwijnaarde 71, 9052, Ghent, Belgium
| | - Lloyd Cool
- VIB Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, 3001, Belgium
- Laboratory of Socioecology and Social Evolution, KU Leuven, Leuven, Belgium
| | - Yanmei Zhu
- VIB Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, 3001, Belgium
| | - Anna Zimmermann
- VIB Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, 3001, Belgium
| | - Jan Steensels
- VIB Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, 3001, Belgium
| | - Anton Gorkovskiy
- VIB Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, 3001, Belgium
| | - Thomas B Jacobs
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark-Zwijnaarde 71, 9052, Ghent, Belgium
- VIB Center for Plant Systems Biology, Technologiepark-Zwijnaarde 71, 9052, Ghent, Belgium
| | - Kevin J Verstrepen
- VIB Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, Leuven, 3001, Belgium.
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, 3001, Belgium.
| |
Collapse
|
9
|
Cheng L, Zhao S, Li T, Hou S, Luo Z, Xu J, Yu W, Jiang S, Monti M, Schindler D, Zhang W, Hou C, Ma Y, Cai Y, Boeke JD, Dai J. Large-scale genomic rearrangements boost SCRaMbLE in Saccharomyces cerevisiae. Nat Commun 2024; 15:770. [PMID: 38278805 PMCID: PMC10817965 DOI: 10.1038/s41467-023-44511-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 12/13/2023] [Indexed: 01/28/2024] Open
Abstract
Synthetic Chromosome Rearrangement and Modification by LoxP-mediated Evolution (SCRaMbLE) is a promising tool to study genomic rearrangements. However, the potential of SCRaMbLE to study genomic rearrangements is currently hindered, because a strain containing all 16 synthetic chromosomes is not yet available. Here, we construct SparLox83R, a yeast strain containing 83 loxPsym sites distributed across all 16 chromosomes. SCRaMbLE of SparLox83R produces versatile genome-wide genomic rearrangements, including inter-chromosomal events. Moreover, when combined with synthetic chromosomes, SCRaMbLE of hetero-diploids with SparLox83R leads to increased diversity of genomic rearrangements and relatively faster evolution of traits compared to hetero-diploids only with wild-type chromosomes. Analysis of the SCRaMbLEd strain with increased tolerance to nocodazole demonstrates that genomic rearrangements can perturb the transcriptome and 3D genome structure and consequently impact phenotypes. In summary, a genome with sparsely distributed loxPsym sites can serve as a powerful tool for studying the consequence of genomic rearrangements and accelerating strain engineering in Saccharomyces cerevisiae.
Collapse
Grants
- 32030004, 32150025 National Natural Science Foundation of China (National Science Foundation of China)
- 32001042 National Natural Science Foundation of China (National Science Foundation of China)
- 32101184 National Natural Science Foundation of China (National Science Foundation of China)
- 32122050 National Natural Science Foundation of China (National Science Foundation of China)
- 2021359 Youth Innovation Promotion Association of the Chinese Academy of Sciences (Youth Innovation Promotion Association CAS)
- National Key R&D Program of China (2022YFF1201800,2018YFA0900100), Guangdong Natural Science Funds for Distinguished Young Scholar (2021B1515020060), Guangdong Provincial Key Laboratory of Synthetic Genomics (2023B1212060054), Bureau of International Cooperation, Chinese Academy of Sciences (172644KYSB20180022), Shenzhen Science and Technology Program (KQTD20180413181837372, KQTD20200925153547003), Innovation Program of Chinese Academy of Agricultural Science and Shenzhen Outstanding Talents Training Fund.
- Guandong Basic and Applied Basic Research Foundation (2023A1515030285)
- UK Biotechnology and Biological Sciences Research Council (BBSRC) grants BB/M005690/1, BB/P02114X/1 and BB/W014483/1, Royal Society Newton Advanced Fellowship (NAF\R2\180590) and a Volkswagen Foundation “Life? Initiative” Grant (Ref. 94 771)
- US NSF grants MCB-1026068, MCB-1443299, MCB-1616111 and MCB-1921641
Collapse
Affiliation(s)
- Li Cheng
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Shijun Zhao
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Tianyi Li
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Shenzhen Lianghe Biotechnology Co., Ltd., Shenzhen, China
| | - Sha Hou
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Zhouqing Luo
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Jinsheng Xu
- Department of Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Wenfei Yu
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Shuangying Jiang
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Marco Monti
- Manchester Institute of Biotechnology, University of Manchester, Manchester, M1 7DN, UK
| | - Daniel Schindler
- Manchester Institute of Biotechnology, University of Manchester, Manchester, M1 7DN, UK
| | - Weimin Zhang
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Chunhui Hou
- China State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Yingxin Ma
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Yizhi Cai
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Manchester Institute of Biotechnology, University of Manchester, Manchester, M1 7DN, UK
| | - Jef D Boeke
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
- Department of Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, NY, 11201, USA
| | - Junbiao Dai
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
- University of Chinese Academy of Sciences, Beijing, China.
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
- College of Life Sciences and Oceanography, Shenzhen University, 1066 Xueyuan Rd, Shenzhen, 518055, Guangdong, China.
| |
Collapse
|
10
|
Zhang W, Lazar-Stefanita L, Yamashita H, Shen MJ, Mitchell LA, Kurasawa H, Lobzaev E, Fanfani V, Haase MAB, Sun X, Jiang Q, Goldberg GW, Ichikawa DM, Lauer SL, McCulloch LH, Easo N, Lin SJ, Camellato BR, Zhu Y, Cai J, Xu Z, Zhao Y, Sacasa M, Noyes MB, Bader JS, Deutsch S, Stracquadanio G, Aizawa Y, Dai J, Boeke JD. Manipulating the 3D organization of the largest synthetic yeast chromosome. Mol Cell 2023; 83:4424-4437.e5. [PMID: 37944526 DOI: 10.1016/j.molcel.2023.10.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 08/11/2023] [Accepted: 10/16/2023] [Indexed: 11/12/2023]
Abstract
Whether synthetic genomes can power life has attracted broad interest in the synthetic biology field. Here, we report de novo synthesis of the largest eukaryotic chromosome thus far, synIV, a 1,454,621-bp yeast chromosome resulting from extensive genome streamlining and modification. We developed megachunk assembly combined with a hierarchical integration strategy, which significantly increased the accuracy and flexibility of synthetic chromosome construction. Besides the drastic sequence changes, we further manipulated the 3D structure of synIV to explore spatial gene regulation. Surprisingly, we found few gene expression changes, suggesting that positioning inside the yeast nucleoplasm plays a minor role in gene regulation. Lastly, we tethered synIV to the inner nuclear membrane via its hundreds of loxPsym sites and observed transcriptional repression of the entire chromosome, demonstrating chromosome-wide transcription manipulation without changing the DNA sequences. Our manipulation of the spatial structure of synIV sheds light on higher-order architectural design of the synthetic genomes.
Collapse
Affiliation(s)
- Weimin Zhang
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Luciana Lazar-Stefanita
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Hitoyoshi Yamashita
- School of Life Science and Technology, Tokyo Institute of Technology, Yokohama, Japan
| | - Michael J Shen
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Leslie A Mitchell
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Hikaru Kurasawa
- School of Life Science and Technology, Tokyo Institute of Technology, Yokohama, Japan
| | - Evgenii Lobzaev
- School of Biological Sciences, The University of Edinburgh, Edinburgh, UK
| | - Viola Fanfani
- School of Biological Sciences, The University of Edinburgh, Edinburgh, UK
| | - Max A B Haase
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Xiaoji Sun
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Qingwen Jiang
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Gregory W Goldberg
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - David M Ichikawa
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Stephanie L Lauer
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Laura H McCulloch
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Nicole Easo
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - S Jiaming Lin
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Brendan R Camellato
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Yinan Zhu
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Jitong Cai
- Department of Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Zhuwei Xu
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Yu Zhao
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Maya Sacasa
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Marcus B Noyes
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA
| | - Joel S Bader
- Department of Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Samuel Deutsch
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | | | - Yasunori Aizawa
- School of Life Science and Technology, Tokyo Institute of Technology, Yokohama, Japan; Kanagawa Institute of Industrial Science and Technology (KISTEC), Ebina, Kanagawa 243-0435, Japan.
| | - Junbiao Dai
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
| | - Jef D Boeke
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA; Department of Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, New York, NY, USA.
| |
Collapse
|
11
|
Zhang Y, Yuan M, Wu X, Zhang Q, Wang Y, Zheng L, Chiu T, Zhang H, Lan L, Wang F, Liao Y, Gong X, Yan S, Wang Y, Shen Y, Fu X. The construction and optimization of engineered yeast chassis for efficient biosynthesis of 8-hydroxygeraniol. MLIFE 2023; 2:438-449. [PMID: 38818263 PMCID: PMC10989129 DOI: 10.1002/mlf2.12099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 10/26/2023] [Accepted: 11/29/2023] [Indexed: 06/01/2024]
Abstract
Microbial production of monoterpenoid indole alkaloids (MIAs) provides a sustainable and eco-friendly means to obtain compounds with high pharmaceutical values. However, efficient biosynthesis of MIAs in heterologous microorganisms is hindered due to low supply of key precursors such as geraniol and its derivative 8-hydroxygeraniol catalyzed by geraniol 8-hydroxylase (G8H). In this study, we developed a facile evolution platform to screen strains with improved yield of geraniol by using the SCRaMbLE system embedded in the Sc2.0 synthetic yeast and confirmed the causal role of relevant genomic targets. Through genome mining, we identified several G8H enzymes that perform much better than the commonly used CrG8H for 8-hydroxygeraniol production in vivo. We further showed that the N-terminus of these G8H enzymes plays an important role in cellular activity by swapping experiments. Finally, the combination of the engineered chassis, optimized biosynthesis pathway, and utilization of G8H led to the final strain with more than 30-fold improvement in producing 8-hydroxygeraniol compared with the starting strain. Overall, this study will provide insights into the construction and optimization of yeast cells for efficient biosynthesis of 8-hydroxygeraniol and its derivatives.
Collapse
Affiliation(s)
- Yu Zhang
- BGI ResearchShenzhenChina
- BGI ResearchHangzhouChina
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI ResearchShenzhenChina
| | | | | | | | | | | | | | | | | | | | | | - Xuemei Gong
- BGI ResearchShenzhenChina
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI ResearchShenzhenChina
| | - Shirui Yan
- BGI ResearchShenzhenChina
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI ResearchShenzhenChina
- BGI ResearchChangzhouChina
| | - Yun Wang
- BGI ResearchShenzhenChina
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI ResearchShenzhenChina
- BGI ResearchChangzhouChina
| | - Yue Shen
- BGI ResearchShenzhenChina
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI ResearchShenzhenChina
- BGI ResearchChangzhouChina
| | - Xian Fu
- BGI ResearchShenzhenChina
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI ResearchShenzhenChina
- BGI ResearchChangzhouChina
| |
Collapse
|
12
|
Zhao Y, Coelho C, Hughes AL, Lazar-Stefanita L, Yang S, Brooks AN, Walker RSK, Zhang W, Lauer S, Hernandez C, Cai J, Mitchell LA, Agmon N, Shen Y, Sall J, Fanfani V, Jalan A, Rivera J, Liang FX, Bader JS, Stracquadanio G, Steinmetz LM, Cai Y, Boeke JD. Debugging and consolidating multiple synthetic chromosomes reveals combinatorial genetic interactions. Cell 2023; 186:5220-5236.e16. [PMID: 37944511 DOI: 10.1016/j.cell.2023.09.025] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 01/03/2023] [Accepted: 09/25/2023] [Indexed: 11/12/2023]
Abstract
The Sc2.0 project is building a eukaryotic synthetic genome from scratch. A major milestone has been achieved with all individual Sc2.0 chromosomes assembled. Here, we describe the consolidation of multiple synthetic chromosomes using advanced endoreduplication intercrossing with tRNA expression cassettes to generate a strain with 6.5 synthetic chromosomes. The 3D chromosome organization and transcript isoform profiles were evaluated using Hi-C and long-read direct RNA sequencing. We developed CRISPR Directed Biallelic URA3-assisted Genome Scan, or "CRISPR D-BUGS," to map phenotypic variants caused by specific designer modifications, known as "bugs." We first fine-mapped a bug in synthetic chromosome II (synII) and then discovered a combinatorial interaction associated with synIII and synX, revealing an unexpected genetic interaction that links transcriptional regulation, inositol metabolism, and tRNASerCGA abundance. Finally, to expedite consolidation, we employed chromosome substitution to incorporate the largest chromosome (synIV), thereby consolidating >50% of the Sc2.0 genome in one strain.
Collapse
Affiliation(s)
- Yu Zhao
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Camila Coelho
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Amanda L Hughes
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, 69117 Heidelberg, Germany
| | - Luciana Lazar-Stefanita
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Sandy Yang
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Aaron N Brooks
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, 69117 Heidelberg, Germany
| | - Roy S K Walker
- School of Engineering, Institute for Bioengineering, the University of Edinburgh, Edinburgh EH9 3BF
| | - Weimin Zhang
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Stephanie Lauer
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Cindy Hernandez
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Jitong Cai
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Leslie A Mitchell
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Neta Agmon
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Yue Shen
- BGI, Shenzhen, Beishan, Industrial Zone, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Genome Read and Write, BGI, Shenzhen, Shenzhen 518120, China
| | - Joseph Sall
- Microscopy Laboratory, NYU Langone Health, New York, NY 10016, USA
| | - Viola Fanfani
- School of Biological Sciences, the University of Edinburgh, Edinburgh EH9 3BF
| | - Anavi Jalan
- Department of Biology, New York University, New York, NY, USA
| | - Jordan Rivera
- Department of Biology, New York University, New York, NY, USA
| | - Feng-Xia Liang
- Microscopy Laboratory, NYU Langone Health, New York, NY 10016, USA
| | - Joel S Bader
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | | | - Lars M Steinmetz
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, 69117 Heidelberg, Germany; Department of Genetics and Stanford Genome Technology Center, Stanford University, Palo Alto, CA 94304, USA
| | - Yizhi Cai
- Manchester Institute of Biotechnology, the University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
| | - Jef D Boeke
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA; Department of Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, New York, NY 11201, USA.
| |
Collapse
|
13
|
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: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [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.
Collapse
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.
| |
Collapse
|
14
|
Yuzbashev TV, Yuzbasheva EY, Melkina OE, Patel D, Bubnov D, Dietz H, Ledesma-Amaro R. A DNA assembly toolkit to unlock the CRISPR/Cas9 potential for metabolic engineering. Commun Biol 2023; 6:858. [PMID: 37596335 PMCID: PMC10439232 DOI: 10.1038/s42003-023-05202-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 08/01/2023] [Indexed: 08/20/2023] Open
Abstract
CRISPR/Cas9-based technologies are revolutionising the way we engineer microbial cells. One of the key advantages of CRISPR in strain design is that it enables chromosomal integration of marker-free DNA, eliminating laborious and often inefficient marker recovery procedures. Despite the benefits, assembling CRISPR/Cas9 editing systems is still not a straightforward process, which may prevent its use and applications. In this work, we have identified some of the main limitations of current Cas9 toolkits and designed improvements with the goal of making CRISPR technologies easier to access and implement. These include 1) A system to quickly switch between marker-free and marker-based integration constructs using both a Cre-expressing and standard Escherichia coli strains, 2) the ability to redirect multigene integration cassettes into alternative genomic loci via Golden Gate-based exchange of homology arms, 3) a rapid, simple in-vivo method to assembly guide RNA sequences via recombineering between Cas9-helper plasmids and single oligonucleotides. We combine these methodologies with well-established technologies into a comprehensive toolkit for efficient metabolic engineering using CRISPR/Cas9. As a proof of concept, we developed the YaliCraft toolkit for Yarrowia lipolytica, which is composed of a basic set of 147 plasmids and 7 modules with different purposes. We used the toolkit to generate and characterize a library of 137 promoters and to build a de novo strain synthetizing 373.8 mg/L homogentisic acid.
Collapse
Affiliation(s)
- Tigran V Yuzbashev
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
- Plant Sciences and the Bioeconomy, Rothamsted Research, West Common, Harpenden, Hertfordshire, AL5 2JQ, UK.
| | | | - Olga E Melkina
- NRC 'Kurchatov Institute'-GosNIIgenetika, Kurchatov Genomic Centre, 1-st Dorozhny Pr., 1, Moscow, 117545, Russia
| | - Davina Patel
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - Dmitrii Bubnov
- NRC 'Kurchatov Institute'-GosNIIgenetika, Kurchatov Genomic Centre, 1-st Dorozhny Pr., 1, Moscow, 117545, Russia
| | - Heiko Dietz
- Kaesler Research Institute, Kaesler Nutrition GmbH, Fischkai 1, 27572, Bremerhaven, Germany
| | | |
Collapse
|
15
|
Zhang XE, Liu C, Dai J, Yuan Y, Gao C, Feng Y, Wu B, Wei P, You C, Wang X, Si T. Enabling technology and core theory of synthetic biology. SCIENCE CHINA. LIFE SCIENCES 2023; 66:1742-1785. [PMID: 36753021 PMCID: PMC9907219 DOI: 10.1007/s11427-022-2214-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 10/04/2022] [Indexed: 02/09/2023]
Abstract
Synthetic biology provides a new paradigm for life science research ("build to learn") and opens the future journey of biotechnology ("build to use"). Here, we discuss advances of various principles and technologies in the mainstream of the enabling technology of synthetic biology, including synthesis and assembly of a genome, DNA storage, gene editing, molecular evolution and de novo design of function proteins, cell and gene circuit engineering, cell-free synthetic biology, artificial intelligence (AI)-aided synthetic biology, as well as biofoundries. We also introduce the concept of quantitative synthetic biology, which is guiding synthetic biology towards increased accuracy and predictability or the real rational design. We conclude that synthetic biology will establish its disciplinary system with the iterative development of enabling technologies and the maturity of the core theory.
Collapse
Affiliation(s)
- Xian-En Zhang
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Shenzhen, 518055, China.
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Chenli Liu
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Shenzhen, 518055, China.
- Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
| | - Junbiao Dai
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Shenzhen, 518055, China.
- Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
| | - Yingjin Yuan
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China.
| | - Caixia Gao
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yan Feng
- State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai, 200240, China.
| | - Bian Wu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Ping Wei
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Shenzhen, 518055, China.
- Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
| | - Chun You
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China.
| | - Xiaowo Wang
- Ministry of Education Key Laboratory of Bioinformatics; Center for Synthetic and Systems Biology; Bioinformatics Division, Beijing National Research Center for Information Science and Technology; Department of Automation, Tsinghua University, Beijing, 100084, China.
| | - Tong Si
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Shenzhen, 518055, China.
- Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
| |
Collapse
|
16
|
Yuzbashev T, Yuzbasheva E, Melkina O, Patel D, Bubnov D, Dietz H, Ledesma-Amaro R. A DNA assembly toolkit to unlock the CRISPR/Cas9 potential for metabolic engineering. RESEARCH SQUARE 2023:rs.3.rs-2738543. [PMID: 37066237 PMCID: PMC10104256 DOI: 10.21203/rs.3.rs-2738543/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
CRISPR/Cas9-based technologies are revolutionising the way we engineer microbial cells. One of the key advantages of CRISPR in strain design is that it enables chromosomal integration of marker-free DNA, eliminating laborious and often inefficient marker recovery procedures. Despite the benefits, assembling CRISPR/Cas9 editing systems is still not a straightforward process, which may prevent its use and applications. In this work, we have identified some of the main limitations of current Cas9 toolkits and designed improvements with the goal of making CRISPR technologies easier to access and implement. These include 1) A system to quickly switch between marker-free and marker-based integration constructs using both a Cre-expressing and standard Escherichia coli strains, 2) the ability to redirect multigene integration cassettes into alternative genomic loci via Golden Gate-based exchange of homology arms, 3) a rapid, simple in-vivo method to assembly guide RNA sequences via recombineering between Cas9-helper plasmids and single oligonucleotides. We combine these methodologies with well-established technologies into a comprehensive toolkit for efficient metabolic engineering using CRISPR/Cas9. As a proof of concept, we generated and characterized a library of 137 promoters and built a de novo Yarrowia lipolytica strain synthetizing 373.8 mg/L homogentisic acid.
Collapse
|
17
|
Zhang H, Xiong Y, Xiao W, Wu Y. Investigation of Genome Biology by Synthetic Genome Engineering. Bioengineering (Basel) 2023; 10:271. [PMID: 36829765 PMCID: PMC9952402 DOI: 10.3390/bioengineering10020271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/10/2023] [Accepted: 02/13/2023] [Indexed: 02/22/2023] Open
Abstract
Synthetic genomes were designed based on an understanding of natural genomic information, offering an opportunity to engineer and investigate biological systems on a genome-wide scale. Currently, the designer version of the M. mycoides genome and the E. coli genome, as well as most of the S. cerevisiae genome, have been synthesized, and through the cycles of design-build-test and the following engineering of synthetic genomes, many fundamental questions of genome biology have been investigated. In this review, we summarize the use of synthetic genome engineering to explore the structure and function of genomes, and highlight the unique values of synthetic genomics.
Collapse
Affiliation(s)
- Hui Zhang
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Yao Xiong
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Wenhai Xiao
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Yi Wu
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| |
Collapse
|
18
|
Li Z, Gao C, Ye C, Guo L, Liu J, Chen X, Song W, Wu J, Liu L. Systems engineering of Escherichia coli for high-level shikimate production. Metab Eng 2023; 75:1-11. [PMID: 36328295 DOI: 10.1016/j.ymben.2022.10.010] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 10/03/2022] [Accepted: 10/26/2022] [Indexed: 11/06/2022]
Abstract
To further increase the production efficiency of microbial shikimate, a valuable compound widely used in the pharmaceutical and chemical industries, ten key target genes contributing to shikimate production were identified by exploiting the enzyme constraint model ec_iML1515, and subsequently used for promoting metabolic flux towards shikimate biosynthesis in the tryptophan-overproducing strain Escherichia coli TRP0. The engineered E. coli SA05 produced 78.4 g/L shikimate via fed-batch fermentation. Deletion of quinate dehydrogenase and introduction of the hydroaromatic equilibration-alleviating shikimate dehydrogenase mutant AroET61W/L241I reduced the contents of byproducts quinate (7.5 g/L) and 3-dehydroshikimic acid (21.4 g/L) by 89.1% and 52.1%, respectively. Furthermore, a high concentration shikimate responsive promoter PrpoS was recruited to dynamically regulate the expression of the tolerance target ProV to enhance shikimate productivity by 23.2% (to 2 g/L/h). Finally, the shikimate titer was increased to 126.4 g/L, with a yield of 0.50 g/g glucose and productivity of 2.63 g/L/h, using a 30-L fermenter and the engineered strain E. coli SA09. This is, to the best of our knowledge, the highest reported shikimate titer and productivity in E. coli.
Collapse
Affiliation(s)
- Zhendong Li
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China; School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Cong Gao
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China; School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Chao Ye
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210046, China
| | - Liang Guo
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China; School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Jia Liu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China; School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Xiulai Chen
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China; School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Wei Song
- School of Life Sciences and Health Engineering, Jiangnan University, Wuxi, 214122, China
| | - Jing Wu
- School of Life Sciences and Health Engineering, Jiangnan University, Wuxi, 214122, China
| | - Liming Liu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China; School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, 214122, China.
| |
Collapse
|
19
|
Kang J, Li J, Guo Z, Zhou S, Su S, Xiao W, Wu Y, Yuan Y. Enhancement and mapping of tolerance to salt stress and 5-fluorocytosine in synthetic yeast strains via SCRaMbLE. Synth Syst Biotechnol 2022; 7:869-877. [PMID: 35601823 PMCID: PMC9096473 DOI: 10.1016/j.synbio.2022.04.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 04/07/2022] [Accepted: 04/11/2022] [Indexed: 11/25/2022] Open
Abstract
Varied environmental stress can affect cell growth and activity of the cellular catalyst. Traditional path of adaptive evolution generally takes a long time to achieve a tolerance phenotype, meanwhile, it is a challenge to dissect the underlying genetic mechanism. Here, using SCRaMbLE, a genome scale tool to generate random structural variations, a total of 222 evolved yeast strains with enhanced environmental tolerances were obtained in haploid or diploid yeasts containing six synthetic chromosomes. Whole genome sequencing of the evolved strains revealed that these strains generated different structural variants. Notably, by phenotypic-genotypic analysis of the SCRaMbLEd strains, we find that a deletion of gene YFR009W (GCN20) can improve salt tolerance of Saccharomyces cerevisiae, and a deletion of gene YER056C can improve 5-flucytosine tolerance of Saccharomyces cerevisiae. This study shows applications of SCRaMbLE to accelerate phenotypic evolution for varied environmental stress and to explore relationships between structural variations and evolved phenotypes.
Collapse
Affiliation(s)
- Jianping Kang
- Frontier Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| | - Jieyi Li
- Frontier Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| | - Zhou Guo
- Frontier Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| | - Sijie Zhou
- Frontier Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| | - Shuxin Su
- Frontier Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| | - Wenhai Xiao
- Frontier Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| | - Yi Wu
- Frontier Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| | - Yingjin Yuan
- Frontier Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| |
Collapse
|
20
|
Screening of different chemical components of sedative and hypnotic effects of Ziziphi Spinosae Semen before and after frying and determination of the Q-Marker. J Chromatogr B Analyt Technol Biomed Life Sci 2022; 1207:123349. [DOI: 10.1016/j.jchromb.2022.123349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 06/07/2022] [Accepted: 06/15/2022] [Indexed: 11/19/2022]
|
21
|
Sun T, Song J, Wang M, Zhao C, Zhang W. Challenges and recent progress in the governance of biosecurity risks in the era of synthetic biology. JOURNAL OF BIOSAFETY AND BIOSECURITY 2022. [DOI: 10.1016/j.jobb.2022.02.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
|
22
|
Qin L, Liu X, Xu K, Li C. Mining and design of biosensors for engineering microbial cell factory. Curr Opin Biotechnol 2022; 75:102694. [DOI: 10.1016/j.copbio.2022.102694] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 01/14/2022] [Accepted: 01/25/2022] [Indexed: 12/14/2022]
|
23
|
Yap SHK, Pan J, Linh DV, Zhang X, Wang X, Teo WZ, Zamburg E, Tham CK, Yew WS, Poh CL, Thean AVY. Engineered Nucleotide Chemicapacitive Microsensor Array Augmented with Physics-Guided Machine Learning for High-Throughput Screening of Cannabidiol. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2107659. [PMID: 35521934 DOI: 10.1002/smll.202107659] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 03/03/2022] [Indexed: 06/14/2023]
Abstract
The recent legalization of cannabidiol (CBD) to treat neurological conditions such as epilepsy has sparked rising interest across global pharmaceuticals and synthetic biology industries to engineer microbes for sustainable synthetic production of medicinal CBD. Since the process involves screening large amounts of samples, the main challenge is often associated with the conventional screening platform that is time consuming, and laborious with high operating costs. Here, a portable, high-throughput Aptamer-based BioSenSing System (ABS3 ) is introduced for label-free, low-cost, fully automated, and highly accurate CBD concentrations' classification in a complex biological environment. The ABS3 comprises an array of interdigitated microelectrode sensors, each functionalized with different engineered aptamers. To further empower the functionality of the ABS3 , unique electrochemical features from each sensor are synergized using physics-guided multidimensional analysis. The capabilities of this ABS3 are demonstrated by achieving excellent CBD concentrations' classification with a high prediction accuracy of 99.98% and a fast testing time of 22 µs per testing sample using the optimized random forest (RF) model. It is foreseen that this approach will be the key to the realistic transformation from fundamental research to system miniaturization for diagnostics of disease biomarkers and drug development in the field of chemical/bioanalytics.
Collapse
Affiliation(s)
- Stephanie Hui Kit Yap
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore
| | - Jieming Pan
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore
| | - Dao Viet Linh
- Department of Biomedical Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore
- NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore
| | - Xiangyu Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore
| | - Xinghua Wang
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore
| | - Wei Zhe Teo
- NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore, 117597, Singapore
| | - Evgeny Zamburg
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore
| | - Chen-Khong Tham
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore
| | - Wen Shan Yew
- NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore, 117597, Singapore
| | - Chueh Loo Poh
- Department of Biomedical Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore
- NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore
| | - Aaron Voon-Yew Thean
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore
| |
Collapse
|
24
|
New opportunities for genetic code expansion in synthetic yeast. Curr Opin Biotechnol 2022; 75:102691. [DOI: 10.1016/j.copbio.2022.102691] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 12/23/2021] [Accepted: 01/18/2022] [Indexed: 12/19/2022]
|
25
|
Jia B, Jin J, Han M, Li B, Yuan Y. Directed yeast genome evolution by controlled introduction of trans-chromosomic structural variations. SCIENCE CHINA. LIFE SCIENCES 2022; 65:1703-1717. [PMID: 35633480 DOI: 10.1007/s11427-021-2084-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 03/07/2022] [Indexed: 12/17/2022]
Abstract
Naturally occurring structural variations (SVs) are a considerable source of genomic variation that can reshape the 3D architecture of chromosomes. Controllable methods aimed at introducing the complex SVs and their related molecular mechanisms have remained farfetched. In this study, an SV-prone yeast strain was developed using Synthetic Chromosome Rearrangement and Modification by LoxP-mediated Evolution (SCRaMbLE) technology with two synthetic chromosomes, namely synV and synX. The biosynthesis of astaxanthin is used as a readout and a proof of concept for the application of SVs in industries. Our findings showed that complex SVs, including a pericentric inversion and a trans-chromosome translocation between synV and synX, resulted in two neo-chromosomes and a 2.7-fold yield of astaxanthin. Also, genetic targets were mapped, which resulted in a higher astaxanthin yield, thus demonstrating the SVs' ability to reorganize genetic information along the chromosomes. The rational design of trans-chromosome translocation and pericentric inversion enabled precise induction of these phenomena. Collectively, this study provides an effective tool to not only accelerate the directed genome evolution but also to reveal the mechanistic insight of complex SVs for altering phenotypes.
Collapse
Affiliation(s)
- Bin Jia
- Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| | - Jin Jin
- Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| | - Mingzhe Han
- Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| | - Bingzhi Li
- Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| | - Yingjin Yuan
- Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China.
| |
Collapse
|
26
|
Jin J, Jia B, Yuan YJ. Combining nucleotide variations and structure variations for improving astaxanthin biosynthesis. Microb Cell Fact 2022; 21:79. [PMID: 35527251 PMCID: PMC9082887 DOI: 10.1186/s12934-022-01793-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 04/10/2022] [Indexed: 11/13/2022] Open
Abstract
Background Mutational technology has been used to achieve genome-wide variations in laboratory and industrial microorganisms. Genetic polymorphisms of natural genome evolution include nucleotide variations and structural variations, which inspired us to suggest that both types of genotypic variations are potentially useful in improving the performance of chassis cells for industrial applications. However, highly efficient approaches that simultaneously generate structural and nucleotide variations are still lacking. Results The aim of this study was to develop a method of increasing biosynthesis of astaxanthin in yeast by Combining Nucleotide variations And Structure variations (CNAS), which were generated by combinations of Atmospheric and room temperature plasma (ARTP) and Synthetic Chromosome Recombination and Modification by LoxP-Mediated Evolution (SCRaMbLE) system. CNAS was applied to increase the biosynthesis of astaxanthin in yeast and resulted in improvements of 2.2- and 7.0-fold in the yield of astaxanthin. Furthermore, this method was shown to be able to generate structures (deletion, duplication, and inversion) as well as nucleotide variations (SNPs and InDels) simultaneously. Additionally, genetic analysis of the genotypic variations of an astaxanthin improved strain revealed that the deletion of YJR116W and the C2481G mutation of YOL084W enhanced yield of astaxanthin, suggesting a genotype-to-phenotype relationship. Conclusions This study demonstrated that the CNAS strategy could generate both structure variations and nucleotide variations, allowing the enhancement of astaxanthin yield by different genotypes in yeast. Overall, this study provided a valuable tool for generating genomic variation diversity that has desirable phenotypes as well as for knowing the relationship between genotypes and phenotypes in evolutionary processes. Supplementary Information The online version contains supplementary material available at 10.1186/s12934-022-01793-6.
Collapse
|
27
|
Towards one sample per second for mass spectrometric screening of engineered microbial strains. Curr Opin Biotechnol 2022; 76:102725. [PMID: 35489307 DOI: 10.1016/j.copbio.2022.102725] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 03/03/2022] [Accepted: 03/20/2022] [Indexed: 12/11/2022]
Abstract
Microbial cell factories convert renewable feedstocks into desirable chemicals and materials. Due to the lack of predictive modeling, high-throughput screening remains essential for microbial strain engineering. Mass spectrometry (MS) is a label-free modality with superior sensitivity and chemical specificity. Critical advances in improving the throughput of MS assays on complex microbial samples include massively parallel cultivation, robotic sample preparation, and chromatography-free instrumentation. Here, we review the recent development and application of rapid MS assays in screening microbial libraries, achieving or approaching a rate of one sample per second. We conclude with unique challenges associated with MS screening of strain libraries and discuss future solutions.
Collapse
|
28
|
Gurdo N, Volke DC, Nikel PI. Merging automation and fundamental discovery into the design–build–test–learn cycle of nontraditional microbes. Trends Biotechnol 2022; 40:1148-1159. [DOI: 10.1016/j.tibtech.2022.03.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 03/12/2022] [Accepted: 03/16/2022] [Indexed: 12/29/2022]
|
29
|
Shi R, Pan P, Lv R, Ma C, Wu E, Guo R, Zhao Z, Song H, Zhou J, Liu Y, Xu G, Hou T, Kang Z, Liu J. High-throughput glycolytic inhibitor discovery targeting glioblastoma by graphite dots-assisted LDI mass spectrometry. SCIENCE ADVANCES 2022; 8:eabl4923. [PMID: 35171681 PMCID: PMC10921956 DOI: 10.1126/sciadv.abl4923] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 12/23/2021] [Indexed: 06/14/2023]
Abstract
Malignant tumors will become vulnerable if their uncontrolled biosynthesis and energy consumption engaged in metabolic reprogramming can be cut off. Here, we report finding a glycolytic inhibitor targeting glioblastoma with graphite dots-assisted laser desorption/ionization mass spectrometry as an integrated drug screening and pharmacokinetic platform (GLMSD). We have performed high-throughput virtual screening to narrow an initial library of 240,000 compounds down to the docking of 40 compounds and identified five previously unknown chemical scaffolds as promising hexokinase-2 inhibitors. The best inhibitor (Compd 27) can regulate the reprogrammed metabolic pathway in U87 glioma cells (median inhibitory concentration ~ 11.3 μM) for tumor suppression. Highly effective therapy against glioblastoma has been demonstrated in both subcutaneous and orthotopic brain tumors by synergizing Compd 27 and temozolomide. Our glycolytic inhibitor discovery can inspire personalized medicine targeting reprogrammed metabolisms of malignant tumors. GLMSD enables large, high-quality data for next-generation artificial intelligence-aided drug development.
Collapse
Affiliation(s)
- Rui Shi
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu 215123, China
| | - Peichen Pan
- College of Pharmaceutical Sciences and State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang 310058, China
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Rui Lv
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu 215123, China
| | - Chongqing Ma
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu 215123, China
| | - Enhui Wu
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu 215123, China
| | - Ruochen Guo
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu 215123, China
| | - Zhihao Zhao
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu 215123, China
| | - Hexing Song
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
| | - Joe Zhou
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
| | - Yang Liu
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu 215123, China
| | - Guoqiang Xu
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu 215123, China
| | - Tingjun Hou
- College of Pharmaceutical Sciences and State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Zhenhui Kang
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu 215123, China
- Macao Institute of Materials Science and Engineering, Macau University of Science and Technology, Taipa, Macau SAR 999078, China
| | - Jian Liu
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu 215123, China
| |
Collapse
|
30
|
Yasukawa T, Oda AH, Nakamura T, Masuo N, Tamura M, Yamasaki Y, Imura M, Yamada T, Ohta K. TAQing2.0 for genome reorganization of asexual industrial yeasts by direct protein transfection. Commun Biol 2022; 5:144. [PMID: 35177796 PMCID: PMC8854394 DOI: 10.1038/s42003-022-03093-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 02/01/2022] [Indexed: 12/13/2022] Open
Abstract
Genomic rearrangements often generate phenotypic diversification. We previously reported the TAQing system where genomic rearrangements are induced via conditional activation of a restriction endonuclease in yeast and plant cells to produce mutants with marked phenotypic changes. Here we developed the TAQing2.0 system based on the direct delivery of endonucleases into the cell nucleus by cell-penetrating peptides. Using the optimized procedure, we introduce a heat-reactivatable endonuclease TaqI into an asexual industrial yeast (torula yeast), followed by a transient heat activation of TaqI. TAQing2.0 leads to generation of mutants with altered flocculation and morphological phenotypes, which exhibit changes in chromosomal size. Genome resequencing suggested that torula yeast is triploid with six chromosomes and the mutants have multiple rearrangements including translocations having the TaqI recognition sequence at the break points. Thus, TAQing2.0 is expected as a useful method to obtain various mutants with altered phenotypes without introducing foreign DNA into asexual industrial microorganisms. The TAQing system is upgraded and optimised as the foreign-DNA-free genome engineering technology, TAQing2.0. Genomic rearrangements are randomly induced by introducing the TaqI restriction endonuclease into non-sporulating industrial yeast with cell-penetrating peptides, leading to generation of mutants with altered phenotypes.
Collapse
Affiliation(s)
- Taishi Yasukawa
- Mitsubishi Corporation Life Sciences Limited, Tokyo Takarazuka Building 14F., 1-1-3 Yurakucho, Chiyoda-ku, Tokyo, 100-0006, Japan
| | - Arisa H Oda
- Department of Life Sciences, Graduate School of Arts & Sciences, The University of Tokyo, Komaba 3-8-1, Meguro-ku, Tokyo, 153-8902, Japan
| | - Takahiro Nakamura
- Department of Life Sciences, Graduate School of Arts & Sciences, The University of Tokyo, Komaba 3-8-1, Meguro-ku, Tokyo, 153-8902, Japan
| | - Naohisa Masuo
- Mitsubishi Corporation Life Sciences Limited, Tokyo Takarazuka Building 14F., 1-1-3 Yurakucho, Chiyoda-ku, Tokyo, 100-0006, Japan
| | - Miki Tamura
- Department of Life Sciences, Graduate School of Arts & Sciences, The University of Tokyo, Komaba 3-8-1, Meguro-ku, Tokyo, 153-8902, Japan
| | - Yuriko Yamasaki
- Mitsubishi Corporation Life Sciences Limited, Tokyo Takarazuka Building 14F., 1-1-3 Yurakucho, Chiyoda-ku, Tokyo, 100-0006, Japan
| | - Makoto Imura
- Mitsubishi Corporation Life Sciences Limited, Tokyo Takarazuka Building 14F., 1-1-3 Yurakucho, Chiyoda-ku, Tokyo, 100-0006, Japan
| | - Takatomi Yamada
- Department of Life Sciences, Graduate School of Arts & Sciences, The University of Tokyo, Komaba 3-8-1, Meguro-ku, Tokyo, 153-8902, Japan
| | - Kunihiro Ohta
- Department of Life Sciences, Graduate School of Arts & Sciences, The University of Tokyo, Komaba 3-8-1, Meguro-ku, Tokyo, 153-8902, Japan. .,The Universal Biology Institute of The University of Tokyo, Hongo 7-3-1, Tokyo, 113-0033, Japan.
| |
Collapse
|
31
|
Jung S, MacConaghy KI, Guarnieri MT, Kaar JL, Stoykovich MP. Quantification of Metabolic Products from Microbial Hosts in Complex Media Using Optically Diffracting Hydrogels. ACS APPLIED BIO MATERIALS 2022; 5:1252-1258. [PMID: 35166523 DOI: 10.1021/acsabm.1c01267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
We herein describe a highly versatile platform approach for the in situ and real-time screening of microbial biocatalysts for enhanced production of bioproducts using photonic crystal hydrogels. This approach was demonstrated by preparing optically diffracting films based on polymerized N-isopropylacrylamide that contracted in the presence of alcohols and organic acids. The hydrogel films were prepared in a microwell plate format, which allows for high-throughput screening, and characterized optically using a microwell plate reader. While demonstrating the ability to detect a broad range of relevant alcohols and organic acids, we showed that the response of the films correlated strongly with the octanol-water partition coefficient (log P) of the analyte. Differences in the secretion of ethanol and succinic acid from strains of Zymomonas mobilis and Actinobacillus succinogenes, respectively, were further detected via optical characterization of the films. These differences, which in some cases were as low as ∼3 g/L, were confirmed by high-performance liquid chromatography, thereby demonstrating the sensitivity of this approach. Our findings highlight the potential utility of this multiplexed approach for the detection of small organic analytes in complex biological media, which overcomes a major challenge in conventional optical sensing methods.
Collapse
Affiliation(s)
- Sukwon Jung
- Department of Chemical and Biological Engineering, University of Colorado, Boulder, Colorado 80303, United States
| | - Kelsey I MacConaghy
- Department of Chemical and Biological Engineering, University of Colorado, Boulder, Colorado 80303, United States
| | - Michael T Guarnieri
- Biosciences Center, National Renewable Energy Laboratory, Golden, Colorado 80401, United States
| | - Joel L Kaar
- Department of Chemical and Biological Engineering, University of Colorado, Boulder, Colorado 80303, United States
| | - Mark P Stoykovich
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States
| |
Collapse
|
32
|
Yao Y, Wen Q, Zhang T, Yu C, Chan KM, Gan H. Advances in Approaches to Study Chromatin-Mediated Epigenetic Memory. ACS Synth Biol 2022; 11:16-25. [PMID: 34965084 DOI: 10.1021/acssynbio.1c00394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Chromatin structure contains critical epigenetic information in various forms, such as histone post-translational modifications (PTMs). The deposition of certain histone PTMs can remodel the chromatin structure, resulting in gene expression alteration. The epigenetic information carried by histone PTMs could be inherited by daughter cells to maintain the gene expression status. Recently, studies revealed that several conserved replisome proteins regulate the recycling of parental histones carrying epigenetic information in Saccharomyces cerevisiae. Hence, the proper recycling and deposition of parental histones onto newly synthesized DNA strands is presumed to be essential for epigenetic inheritance. Here, we first reviewed the fundamental mechanisms of epigenetic modification establishment and maintenance discovered within fungal models. Next, we discussed the functions of parental histone chaperones and the potential impacts of the parental histone recycling process on heterochromatin-mediated transcriptional silencing inheritance. Subsequently, we summarized novel synthetic biology approaches developed to analyze individual epigenetic components during epigenetic inheritance in fungal and mammalian systems. These newly emerged research paradigms enable us to dissect epigenetic systems in a bottom-up manner. Furthermore, we highlighted the approaches developed in this emerging field and discussed the potential applications of these engineered regulators to building synthetic epigenetic systems.
Collapse
Affiliation(s)
- Yuan Yao
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Qing Wen
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Tianjun Zhang
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Department of Molecular and Biomedical Science, School of Biological Sciences, The University of Adelaide, Adelaide, SA 5005, Australia
| | - Chuanhe Yu
- The Hormel Institute, University of Minnesota, Austin, Minnesota 55912, United States
| | - Kui Ming Chan
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR 999077, China
- Key Laboratory of Biochip Technology, Biotech and Health Centre, Shenzhen Research Institute of City University of Hong Kong, Shenzhen 518172, China
| | - Haiyun Gan
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| |
Collapse
|
33
|
Zhao H, Wei W, Zhao C, Xie Z. Genomic markers on synthetic genomes. Eng Life Sci 2021; 21:825-831. [PMID: 34899119 PMCID: PMC8638323 DOI: 10.1002/elsc.202100030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 08/13/2021] [Accepted: 10/08/2021] [Indexed: 11/17/2022] Open
Abstract
Genome synthesis endows scientists the ability of de novo creating genomes absent in nature, by thorough redesigning DNA sequences and introducing numerous custom features. However, the genome synthesis is a labor- and time-consuming work, and thus it is a challenge to verify and quantify the synthetic genome rapidly and precisely. Thus, specific DNA sequences different from native genomic sequences are designed into synthetic genomes during synthesis, namely genomic markers. Genomic markers can be easily detected by PCR reaction, whole-genome sequencing (WGS) and a variety of methods to identify the synthetic genome from native one. Here, we review types and applications of genomic markers utilized in synthetic genomes, with the hope of providing a guidance for future works.
Collapse
Affiliation(s)
- Hao‐Qian Zhao
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education)School of Chemical Engineering and TechnologyTianjin UniversityTianjinP. R. China
| | - Wen‐Qing Wei
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education)School of Chemical Engineering and TechnologyTianjin UniversityTianjinP. R. China
| | - Chao Zhao
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education)School of Chemical Engineering and TechnologyTianjin UniversityTianjinP. R. China
| | - Ze‐Xiong Xie
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education)School of Chemical Engineering and TechnologyTianjin UniversityTianjinP. R. China
| |
Collapse
|
34
|
Zhou S, Wu Y, Xie ZX, Jia B, Yuan YJ. Directed genome evolution driven by structural rearrangement techniques. Chem Soc Rev 2021; 50:12788-12807. [PMID: 34651628 DOI: 10.1039/d1cs00722j] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Directed genome evolution simulates the process of natural evolution at the genomic level in the laboratory to generate desired phenotypes. Here we review the applications of recent technological advances in genome writing and editing to directed genome evolution, with a focus on structural rearrangement techniques. We highlight how these techniques can be used to generate diverse genotypes, and to accelerate the evolution of phenotypic traits. We also discuss the perspectives of directed genome evolution.
Collapse
Affiliation(s)
- Sijie Zhou
- Frontier Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, 300072, China. .,Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| | - Yi Wu
- Frontier Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, 300072, China. .,Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| | - Ze-Xiong Xie
- Frontier Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, 300072, China. .,Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| | - Bin Jia
- Frontier Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, 300072, China. .,Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| | - Ying-Jin Yuan
- Frontier Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, 300072, China. .,Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| |
Collapse
|
35
|
Zhang M, Huang L, Yang J, Xu W, Su H, Cao J, Wang Q, Pu J, Qian K. Ultra-Fast Label-Free Serum Metabolic Diagnosis of Coronary Heart Disease via a Deep Stabilizer. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:e2101333. [PMID: 34323397 PMCID: PMC8456274 DOI: 10.1002/advs.202101333] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 05/19/2021] [Indexed: 05/07/2023]
Abstract
Although mass spectrometry (MS) of metabolites has the potential to provide real-time monitoring of patient status for diagnostic purposes, the diagnostic application of MS is limited due to sample treatment and data quality/reproducibility. Here, the generation of a deep stabilizer for ultra-fast, label-free MS detection and the application of this method for serum metabolic diagnosis of coronary heart disease (CHD) are reported. Nanoparticle-assisted laser desorption/ionization-MS is used to achieve direct metabolic analysis of trace unprocessed serum in seconds. Furthermore, a deep stabilizer is constructed to map native MS results to high-quality results obtained by established methods. Finally, using the newly developed protocol and diagnosis variation characteristic surface to characterize sensitivity/specificity and variation, CHD is diagnosed with advanced accuracy in a high-throughput/speed manner. This work advances design of metabolic analysis tools for disease detection as it provides a direct label-free, ultra-fast, and stabilized platform for future protocol development in clinics.
Collapse
Affiliation(s)
- Mengji Zhang
- State Key Laboratory for Oncogenes and Related GenesSchool of Biomedical EngineeringInstitute of Medical Robotics and Med‐X Research InstituteShanghai Jiao Tong UniversityShanghai200030P. R. China
- State Key Laboratory for Oncogenes and Related GenesDivision of CardiologyRenji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai Cancer Institute160 Pujian RoadShanghai200127P. R. China
| | - Lin Huang
- State Key Laboratory for Oncogenes and Related GenesSchool of Biomedical EngineeringInstitute of Medical Robotics and Med‐X Research InstituteShanghai Jiao Tong UniversityShanghai200030P. R. China
- State Key Laboratory for Oncogenes and Related GenesDivision of CardiologyRenji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai Cancer Institute160 Pujian RoadShanghai200127P. R. China
| | - Jing Yang
- State Key Laboratory for Oncogenes and Related GenesSchool of Biomedical EngineeringInstitute of Medical Robotics and Med‐X Research InstituteShanghai Jiao Tong UniversityShanghai200030P. R. China
- State Key Laboratory for Oncogenes and Related GenesDivision of CardiologyRenji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai Cancer Institute160 Pujian RoadShanghai200127P. R. China
| | - Wei Xu
- State Key Laboratory for Oncogenes and Related GenesSchool of Biomedical EngineeringInstitute of Medical Robotics and Med‐X Research InstituteShanghai Jiao Tong UniversityShanghai200030P. R. China
- State Key Laboratory for Oncogenes and Related GenesDivision of CardiologyRenji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai Cancer Institute160 Pujian RoadShanghai200127P. R. China
| | - Haiyang Su
- State Key Laboratory for Oncogenes and Related GenesSchool of Biomedical EngineeringInstitute of Medical Robotics and Med‐X Research InstituteShanghai Jiao Tong UniversityShanghai200030P. R. China
- State Key Laboratory for Oncogenes and Related GenesDivision of CardiologyRenji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai Cancer Institute160 Pujian RoadShanghai200127P. R. China
| | - Jing Cao
- State Key Laboratory for Oncogenes and Related GenesSchool of Biomedical EngineeringInstitute of Medical Robotics and Med‐X Research InstituteShanghai Jiao Tong UniversityShanghai200030P. R. China
- State Key Laboratory for Oncogenes and Related GenesDivision of CardiologyRenji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai Cancer Institute160 Pujian RoadShanghai200127P. R. China
| | - Qian Wang
- State Key Laboratory for Oncogenes and Related GenesSchool of Biomedical EngineeringInstitute of Medical Robotics and Med‐X Research InstituteShanghai Jiao Tong UniversityShanghai200030P. R. China
- State Key Laboratory for Oncogenes and Related GenesDivision of CardiologyRenji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai Cancer Institute160 Pujian RoadShanghai200127P. R. China
| | - Jun Pu
- State Key Laboratory for Oncogenes and Related GenesDivision of CardiologyRenji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai Cancer Institute160 Pujian RoadShanghai200127P. R. China
| | - Kun Qian
- State Key Laboratory for Oncogenes and Related GenesSchool of Biomedical EngineeringInstitute of Medical Robotics and Med‐X Research InstituteShanghai Jiao Tong UniversityShanghai200030P. R. China
- State Key Laboratory for Oncogenes and Related GenesDivision of CardiologyRenji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai Cancer Institute160 Pujian RoadShanghai200127P. R. China
| |
Collapse
|
36
|
Cameron SJS, Perdones-Montero A, Van Meulebroek L, Burke A, Alexander-Hardiman K, Simon D, Schaffer R, Balog J, Karancsi T, Rickards T, Rebec M, Stead S, Vanhaecke L, Takáts Z. Sample Preparation Free Mass Spectrometry Using Laser-Assisted Rapid Evaporative Ionization Mass Spectrometry: Applications to Microbiology, Metabolic Biofluid Phenotyping, and Food Authenticity. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:1393-1401. [PMID: 33980015 DOI: 10.1021/jasms.0c00452] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Mass spectrometry has established itself as a powerful tool in the chemical, biological, medical, environmental, and agricultural fields. However, experimental approaches and potential application areas have been limited by a traditional reliance on sample preparation, extraction, and chromatographic separation. Ambient ionization mass spectrometry methods have addressed this challenge but are still somewhat restricted in requirements for sample manipulation to make it suitable for analysis. These limitations are particularly restrictive in view of the move toward high-throughput and automated analytical workflows. To address this, we present what we consider to be the first automated sample-preparation-free mass spectrometry platform utilizing a carbon dioxide (CO2) laser for sample thermal desorption linked to the rapid evaporative ionization mass spectrometry (LA-REIMS) methodology. We show that the pulsatile operation of the CO2 laser is the primary factor in achieving high signal-to-noise ratios. We further show that the LA-REIMS automated platform is suited to the analysis of three diverse biological materials within different application areas. First, clinical microbiology isolates were classified to species level with an accuracy of 97.2%, the highest accuracy reported in current literature. Second, fecal samples from a type 2 diabetes mellitus cohort were analyzed with LA-REIMS, which allowed tentative identification of biomarkers which are potentially associated with disease pathogenesis and a disease classification accuracy of 94%. Finally, we showed the ability of the LA-REIMS system to detect instances of adulteration of cooking oil and determine the geographical area of production of three protected olive oil products with 100% classification accuracy.
Collapse
Affiliation(s)
- Simon J S Cameron
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, U.K
| | - Alvaro Perdones-Montero
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
| | - Lieven Van Meulebroek
- Laboratory of Chemical Analysis, Department of Veterinary Public Health and Food Safety, Ghent University, Ghent B-9820, Belgium
| | - Adam Burke
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
| | - Kate Alexander-Hardiman
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
| | - Daniel Simon
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
- Waters Research Center, Budapest 1031, Hungary
| | | | - Julia Balog
- Waters Research Center, Budapest 1031, Hungary
| | | | - Tony Rickards
- Department of Microbiology, Imperial College Healthcare NHS Trust, London W6 8RD, U.K
| | - Monica Rebec
- Department of Microbiology, Imperial College Healthcare NHS Trust, London W6 8RD, U.K
| | - Sara Stead
- Waters Corporation, Wilmslow SK9 4AX, U.K
| | - Lynn Vanhaecke
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, U.K
- Laboratory of Chemical Analysis, Department of Veterinary Public Health and Food Safety, Ghent University, Ghent B-9820, Belgium
| | - Zoltán Takáts
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, U.K
| |
Collapse
|
37
|
Gorkovskiy A, Verstrepen KJ. The Role of Structural Variation in Adaptation and Evolution of Yeast and Other Fungi. Genes (Basel) 2021; 12:699. [PMID: 34066718 PMCID: PMC8150848 DOI: 10.3390/genes12050699] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 04/30/2021] [Accepted: 05/04/2021] [Indexed: 01/12/2023] Open
Abstract
Mutations in DNA can be limited to one or a few nucleotides, or encompass larger deletions, insertions, duplications, inversions and translocations that span long stretches of DNA or even full chromosomes. These so-called structural variations (SVs) can alter the gene copy number, modify open reading frames, change regulatory sequences or chromatin structure and thus result in major phenotypic changes. As some of the best-known examples of SV are linked to severe genetic disorders, this type of mutation has traditionally been regarded as negative and of little importance for adaptive evolution. However, the advent of genomic technologies uncovered the ubiquity of SVs even in healthy organisms. Moreover, experimental evolution studies suggest that SV is an important driver of evolution and adaptation to new environments. Here, we provide an overview of the causes and consequences of SV and their role in adaptation, with specific emphasis on fungi since these have proven to be excellent models to study SV.
Collapse
Affiliation(s)
- Anton Gorkovskiy
- Laboratory for Genetics and Genomics, Centre of Microbial and Plant Genetics (CMPG), KU Leuven, Gaston Geenslaan 1, 3001 Leuven, Belgium;
- Laboratory for Systems Biology, VIB—KU Leuven Center for Microbiology, Bio-Incubator, Gaston Geenslaan 1, 3001 Leuven, Belgium
| | - Kevin J. Verstrepen
- Laboratory for Genetics and Genomics, Centre of Microbial and Plant Genetics (CMPG), KU Leuven, Gaston Geenslaan 1, 3001 Leuven, Belgium;
- Laboratory for Systems Biology, VIB—KU Leuven Center for Microbiology, Bio-Incubator, Gaston Geenslaan 1, 3001 Leuven, Belgium
| |
Collapse
|
38
|
Bachořík J, Urban M. Biocatalysis in the Chemistry of Lupane Triterpenoids. Molecules 2021; 26:2271. [PMID: 33919839 PMCID: PMC8070785 DOI: 10.3390/molecules26082271] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Revised: 04/10/2021] [Accepted: 04/11/2021] [Indexed: 01/15/2023] Open
Abstract
Pentacyclic triterpenes are important representatives of natural products that exhibit a wide variety of biological activities. These activities suggest that these compounds may represent potential medicines for the treatment of cancer and viral, bacterial, or protozoal infections. Naturally occurring triterpenes usually have several drawbacks, such as limited activity and insufficient solubility and bioavailability; therefore, they need to be modified to obtain compounds suitable for drug development. Modifications can be achieved either by methods of standard organic synthesis or with the use of biocatalysts, such as enzymes or enzyme systems within living organisms. In most cases, these modifications result in the preparation of esters, amides, saponins, or sugar conjugates. Notably, while standard organic synthesis has been heavily used and developed, the use of the latter methodology has been rather limited, but it appears that biocatalysis has recently sparked considerably wider interest within the scientific community. Among triterpenes, derivatives of lupane play important roles. This review therefore summarizes the natural occurrence and sources of lupane triterpenoids, their biosynthesis, and semisynthetic methods that may be used for the production of betulinic acid from abundant and inexpensive betulin. Most importantly, this article compares chemical transformations of lupane triterpenoids with analogous reactions performed by biocatalysts and highlights a large space for the future development of biocatalysis in this field. The results of this study may serve as a summary of the current state of research and demonstrate the potential of the method in future applications.
Collapse
Affiliation(s)
- Jan Bachořík
- Department of Organic Chemistry, Faculty of Science, Palacký University in Olomouc, 17. listopadu 12, 771 46 Olomouc, Czech Republic;
| | - Milan Urban
- Medicinal Chemistry, Faculty of Medicine and Dentistry, Institute of Molecular and Translational Medicine, Palacký University in Olomouc, Hněvotínská 5, 779 00 Olomouc, Czech Republic
| |
Collapse
|
39
|
SCRaMbLE: A Study of Its Robustness and Challenges through Enhancement of Hygromycin B Resistance in a Semi-Synthetic Yeast. Bioengineering (Basel) 2021; 8:bioengineering8030042. [PMID: 33806931 PMCID: PMC8004914 DOI: 10.3390/bioengineering8030042] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 03/17/2021] [Accepted: 03/20/2021] [Indexed: 11/21/2022] Open
Abstract
Recent advances in synthetic genomics launched the ambitious goal of generating the first synthetic designer eukaryote, based on the model organism Saccharomyces cerevisiae (Sc2.0). Excitingly, the Sc2.0 project is now nearing its completion and SCRaMbLE, an accelerated evolution tool implemented by the integration of symmetrical loxP sites (loxPSym) downstream of almost every non-essential gene, is arguably the most applicable synthetic genome-wide alteration to date. The SCRaMbLE system offers the capability to perform rapid genome diversification, providing huge potential for targeted strain improvement. Here we describe how SCRaMbLE can evolve a semi-synthetic yeast strain housing the synthetic chromosome II (synII) to generate hygromycin B resistant genotypes. Exploiting long-read nanopore sequencing, we show that all structural variations are due to recombination between loxP sites, with no off-target effects. We also highlight a phenomenon imposed on SCRaMbLE termed “essential raft”, where a fragment flanked by a pair of loxPSym sites can move within the genome but cannot be removed due to essentiality restrictions. Despite this, SCRaMbLE was able to explore the genomic space and produce alternative structural compositions that resulted in an increased hygromycin B resistance in the synII strain. We show that among the rearrangements generated via SCRaMbLE, deletions of YBR219C and YBR220C contribute to hygromycin B resistance phenotypes. However, the hygromycin B resistance provided by SCRaMbLEd genomes showed significant improvement when compared to corresponding single deletions, demonstrating the importance of the complex structural variations generated by SCRaMbLE to improve hygromycin B resistance. We anticipate that SCRaMbLE and its successors will be an invaluable tool to predict and evaluate the emergence of antibiotic resistance in yeast.
Collapse
|
40
|
Xie ZX, Zhou J, Fu J, Yuan YJ. Debugging: putting the synthetic yeast chromosome to work. Chem Sci 2021; 12:5381-5389. [PMID: 34168782 PMCID: PMC8179638 DOI: 10.1039/d0sc06924h] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 03/02/2021] [Indexed: 12/02/2022] Open
Abstract
Synthetic genomics aims to de novo synthesize a functional genome redesigned from natural sequences with custom features. Designed genomes provide new toolkits for better understanding organisms, evolution and the construction of cellular factories. Currently maintaining the fitness of cells with synthetic genomes is particularly challenging as defective designs and unanticipated assembly errors frequently occur. Mapping and correcting bugs that arise during the synthetic process are imperative for the successful construction of a synthetic genome that can sustain a desired cellular function. Here, we review recently developed methods used to map and fix various bugs which arise during yeast genome synthesis with the hope of providing guidance for putting the synthetic yeast chromosome to work.
Collapse
Affiliation(s)
- Ze-Xiong Xie
- Frontiers Science Center for Synthetic Biology, Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University Tianjin 300072 PR China
| | - Jianting Zhou
- Frontiers Science Center for Synthetic Biology, Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University Tianjin 300072 PR China
| | - Juan Fu
- Frontiers Science Center for Synthetic Biology, Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University Tianjin 300072 PR China
| | - Ying-Jin Yuan
- Frontiers Science Center for Synthetic Biology, Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University Tianjin 300072 PR China
| |
Collapse
|
41
|
Collins JH, Keating KW, Jones TR, Balaji S, Marsan CB, Çomo M, Newlon ZJ, Mitchell T, Bartley B, Adler A, Roehner N, Young EM. Engineered yeast genomes accurately assembled from pure and mixed samples. Nat Commun 2021; 12:1485. [PMID: 33674578 PMCID: PMC7935868 DOI: 10.1038/s41467-021-21656-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 02/04/2021] [Indexed: 01/31/2023] Open
Abstract
Yeast whole genome sequencing (WGS) lacks end-to-end workflows that identify genetic engineering. Here we present Prymetime, a tool that assembles yeast plasmids and chromosomes and annotates genetic engineering sequences. It is a hybrid workflow-it uses short and long reads as inputs to perform separate linear and circular assembly steps. This structure is necessary to accurately resolve genetic engineering sequences in plasmids and the genome. We show this by assembling diverse engineered yeasts, in some cases revealing unintended deletions and integrations. Furthermore, the resulting whole genomes are high quality, although the underlying assembly software does not consistently resolve highly repetitive genome features. Finally, we assemble plasmids and genome integrations from metagenomic sequencing, even with 1 engineered cell in 1000. This work is a blueprint for building WGS workflows and establishes WGS-based identification of yeast genetic engineering.
Collapse
Affiliation(s)
- Joseph H Collins
- Department of Chemical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA
| | - Kevin W Keating
- Department of Chemical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA
| | - Trent R Jones
- Department of Chemical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA
| | - Shravani Balaji
- Department of Chemical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA
| | - Celeste B Marsan
- Department of Chemical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA
| | - Marina Çomo
- Department of Chemical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA
| | - Zachary J Newlon
- Department of Chemical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA
| | - Tom Mitchell
- Synthetic Biology, Raytheon BBN Technologies, Cambridge, MA, USA
| | - Bryan Bartley
- Synthetic Biology, Raytheon BBN Technologies, Cambridge, MA, USA
| | - Aaron Adler
- Synthetic Biology, Raytheon BBN Technologies, Cambridge, MA, USA
| | - Nicholas Roehner
- Synthetic Biology, Raytheon BBN Technologies, Cambridge, MA, USA
| | - Eric M Young
- Department of Chemical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.
| |
Collapse
|
42
|
Zhang Y, Chiu TY, Zhang JT, Wang SJ, Wang SW, Liu LY, Ping Z, Wang Y, Chen A, Zhang WW, Chen T, Wang Y, Shen Y. Systematical Engineering of Synthetic Yeast for Enhanced Production of Lycopene. Bioengineering (Basel) 2021; 8:bioengineering8010014. [PMID: 33477926 PMCID: PMC7833358 DOI: 10.3390/bioengineering8010014] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 01/15/2021] [Accepted: 01/16/2021] [Indexed: 11/16/2022] Open
Abstract
Synthetic biology allows the re-engineering of biological systems and promotes the development of bioengineering to a whole new level, showing great potential in biomanufacturing. Here, in order to make the heterologous lycopene biosynthesis pathway compatible with the host strain YSy 200, we evolved YSy200 using a unique Synthetic Chromosome Rearrangement and Modification by LoxP-mediated Evolution (SCRaMbLE) system that is built in the Sc2.0 synthetic yeast. By inducing SCRaMbLE, we successfully identified a host strain YSy201 that can be served as a suitable host to maintain the heterologous lycopene biosynthesis pathway. Then, we optimized the lycopene biosynthesis pathway and further integrated into the rDNA arrays of YSy201 to increase its copy number. In combination with culturing condition optimization, we successfully screened out the final yeast strain YSy222, which showed a 129.5-fold increase of lycopene yield in comparison with its parental strain. Our work shows that, the strategy of combining the engineering efforts on both the lycopene biosynthesis pathway and the host strain can improve the compatibility between the heterologous pathway and the host strain, which can further effectively increase the yield of the target product.
Collapse
Affiliation(s)
- Yu Zhang
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen 518083, China;
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China; (T.-Y.C.); (S.-J.W.); (S.-W.W.); (L.-Y.L.); (Z.P.); (Y.W.); (A.C.); (W.-W.Z.); (Y.W.)
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China; (J.-T.Z.); (T.C.)
| | - Tsan-Yu Chiu
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China; (T.-Y.C.); (S.-J.W.); (S.-W.W.); (L.-Y.L.); (Z.P.); (Y.W.); (A.C.); (W.-W.Z.); (Y.W.)
- Guangdong Provincial Academician Workstation of BGI Synthetic Genomics, BGI-Shenzhen, Shenzhen 518120, China
| | - Jin-Tao Zhang
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China; (J.-T.Z.); (T.C.)
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Shu-Jie Wang
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China; (T.-Y.C.); (S.-J.W.); (S.-W.W.); (L.-Y.L.); (Z.P.); (Y.W.); (A.C.); (W.-W.Z.); (Y.W.)
- Guangdong Provincial Academician Workstation of BGI Synthetic Genomics, BGI-Shenzhen, Shenzhen 518120, China
| | - Shu-Wen Wang
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China; (T.-Y.C.); (S.-J.W.); (S.-W.W.); (L.-Y.L.); (Z.P.); (Y.W.); (A.C.); (W.-W.Z.); (Y.W.)
| | - Long-Ying Liu
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China; (T.-Y.C.); (S.-J.W.); (S.-W.W.); (L.-Y.L.); (Z.P.); (Y.W.); (A.C.); (W.-W.Z.); (Y.W.)
| | - Zhi Ping
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China; (T.-Y.C.); (S.-J.W.); (S.-W.W.); (L.-Y.L.); (Z.P.); (Y.W.); (A.C.); (W.-W.Z.); (Y.W.)
- Guangdong Provincial Academician Workstation of BGI Synthetic Genomics, BGI-Shenzhen, Shenzhen 518120, China
- Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518000, China
| | - Yong Wang
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China; (T.-Y.C.); (S.-J.W.); (S.-W.W.); (L.-Y.L.); (Z.P.); (Y.W.); (A.C.); (W.-W.Z.); (Y.W.)
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China; (J.-T.Z.); (T.C.)
| | - Ao Chen
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China; (T.-Y.C.); (S.-J.W.); (S.-W.W.); (L.-Y.L.); (Z.P.); (Y.W.); (A.C.); (W.-W.Z.); (Y.W.)
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China; (J.-T.Z.); (T.C.)
| | - Wen-Wei Zhang
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China; (T.-Y.C.); (S.-J.W.); (S.-W.W.); (L.-Y.L.); (Z.P.); (Y.W.); (A.C.); (W.-W.Z.); (Y.W.)
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China; (J.-T.Z.); (T.C.)
| | - Tai Chen
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China; (J.-T.Z.); (T.C.)
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Yun Wang
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China; (T.-Y.C.); (S.-J.W.); (S.-W.W.); (L.-Y.L.); (Z.P.); (Y.W.); (A.C.); (W.-W.Z.); (Y.W.)
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China; (J.-T.Z.); (T.C.)
| | - Yue Shen
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China; (T.-Y.C.); (S.-J.W.); (S.-W.W.); (L.-Y.L.); (Z.P.); (Y.W.); (A.C.); (W.-W.Z.); (Y.W.)
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China; (J.-T.Z.); (T.C.)
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
- Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518000, China
- Correspondence:
| |
Collapse
|
43
|
Luo Z, Yu K, Xie S, Monti M, Schindler D, Fang Y, Zhao S, Liang Z, Jiang S, Luan M, Xiao C, Cai Y, Dai J. Compacting a synthetic yeast chromosome arm. Genome Biol 2021; 22:5. [PMID: 33397424 PMCID: PMC7780613 DOI: 10.1186/s13059-020-02232-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 12/10/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Redundancy is a common feature of genomes, presumably to ensure robust growth under different and changing conditions. Genome compaction, removing sequences nonessential for given conditions, provides a novel way to understand the core principles of life. The synthetic chromosome rearrangement and modification by loxP-mediated evolution (SCRaMbLE) system is a unique feature implanted in the synthetic yeast genome (Sc2.0), which is proposed as an effective tool for genome minimization. As the Sc2.0 project is nearing its completion, we have begun to explore the application of the SCRaMbLE system in genome compaction. RESULTS We develop a method termed SCRaMbLE-based genome compaction (SGC) and demonstrate that a synthetic chromosome arm (synXIIL) can be efficiently reduced. The pre-introduced episomal essential gene array significantly enhances the compacting ability of SGC, not only by enabling the deletion of nonessential genes located in essential gene containing loxPsym units but also by allowing more chromosomal sequences to be removed in a single SGC process. Further compaction is achieved through iterative SGC, revealing that at least 39 out of 65 nonessential genes in synXIIL can be removed collectively without affecting cell viability at 30 °C in rich medium. Approximately 40% of the synthetic sequence, encoding 28 genes, is found to be dispensable for cell growth at 30 °C in rich medium and several genes whose functions are needed under specified conditions are identified. CONCLUSIONS We develop iterative SGC with the aid of eArray as a generic yet effective tool to compact the synthetic yeast genome.
Collapse
Affiliation(s)
- Zhouqing Luo
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
| | - Kang Yu
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Shangqian Xie
- Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants, Ministry of Education/Hainan Key Laboratory for Biology of Tropical Ornamental Plant Germplasm, College of Forestry, Hainan University, Haikou, 570228, China
| | - Marco Monti
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester, M1 7DN, UK
| | - Daniel Schindler
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester, M1 7DN, UK
- Present Address: Department of Biochemistry and Synthetic Metabolism, Max Planck Institute for Terrestrial Microbiology, 35043, Marburg, Germany
| | - Yuan Fang
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Shijun Zhao
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Zhenzhen Liang
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Shuangying Jiang
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Meiwei Luan
- Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants, Ministry of Education/Hainan Key Laboratory for Biology of Tropical Ornamental Plant Germplasm, College of Forestry, Hainan University, Haikou, 570228, China
| | - Chuanle Xiao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, 510060, China
| | - Yizhi Cai
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester, M1 7DN, UK.
| | - Junbiao Dai
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
| |
Collapse
|
44
|
Coradini ALV, Hull CB, Ehrenreich IM. Building genomes to understand biology. Nat Commun 2020; 11:6177. [PMID: 33268788 PMCID: PMC7710724 DOI: 10.1038/s41467-020-19753-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 10/29/2020] [Indexed: 02/06/2023] Open
Abstract
Genetic manipulation is one of the central strategies that biologists use to investigate the molecular underpinnings of life and its diversity. Thus, advances in genetic manipulation usually lead to a deeper understanding of biological systems. During the last decade, the construction of chromosomes, known as synthetic genomics, has emerged as a novel approach to genetic manipulation. By facilitating complex modifications to chromosome content and structure, synthetic genomics opens new opportunities for studying biology through genetic manipulation. Here, we discuss different classes of genetic manipulation that are enabled by synthetic genomics, as well as biological problems they each can help solve.
Collapse
Affiliation(s)
- Alessandro L V Coradini
- Molecular and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, 90089-2910, USA
| | - Cara B Hull
- Molecular and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, 90089-2910, USA
| | - Ian M Ehrenreich
- Molecular and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, 90089-2910, USA.
| |
Collapse
|
45
|
Xie Y, Zhong Y, Chang J, Kwan HS. Chromosome-level de novo assembly of Coprinopsis cinerea A43mut B43mut pab1-1 #326 and genetic variant identification of mutants using Nanopore MinION sequencing. Fungal Genet Biol 2020; 146:103485. [PMID: 33253902 DOI: 10.1016/j.fgb.2020.103485] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 10/22/2020] [Accepted: 11/13/2020] [Indexed: 11/26/2022]
Abstract
The homokaryotic Coprinopsis cinerea strain A43mut B43mut pab1-1 #326 is a widely used experimental model for developmental studies in mushroom-forming fungi. It can grow on defined artificial media and complete the whole lifecycle within two weeks. The mutations in mating type factors A and B result in the special feature of clamp formation and fruiting without mating. This feature allows investigations and manipulations with a homokaryotic genetic background. Current genome assembly of strain #326 was based on short-read sequencing data and was highly fragmented, leading to the bias in gene annotation and downstream analyses. Here, we report a chromosome-level genome assembly of strain #326. Oxford Nanopore Technology (ONT) MinION sequencing was used to get long reads. Illumina short reads was used to polish the sequences. A combined assembly yield 13 chromosomes and a mitochondrial genome as individual scaffolds. The assembly has 15,250 annotated genes with a high synteny with the C. cinerea strain Okayama-7 #130. This assembly has great improvement on contiguity and annotations. It is a suitable reference for further genomic studies, especially for the genetic, genomic and transcriptomic analyses in ONT long reads. Single nucleotide variants and structural variants in six mutagenized and cisplatin-screened mutants could be identified and validated. A 66 bp deletion in Ras GTPase-activating protein (RasGAP) was found in all mutants. To make a better use of ONT sequencing platform, we modified a high-molecular-weight genomic DNA isolation protocol based on magnetic beads for filamentous fungi. This study showed the use of MinION to construct a fungal reference genome and to perform downstream studies in an individual laboratory. An experimental workflow was proposed, from DNA isolation and whole genome sequencing, to genome assembly and variant calling. Our results provided solutions and parameters for fungal genomic analysis on MinION sequencing platform.
Collapse
Affiliation(s)
- Yichun Xie
- School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong Special Administrative Region
| | - Yiyi Zhong
- School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong Special Administrative Region
| | - Jinhui Chang
- School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong Special Administrative Region; The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, China
| | - Hoi Shan Kwan
- School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong Special Administrative Region.
| |
Collapse
|
46
|
Schindler D. Genetic Engineering and Synthetic Genomics in Yeast to Understand Life and Boost Biotechnology. Bioengineering (Basel) 2020; 7:E137. [PMID: 33138080 PMCID: PMC7711850 DOI: 10.3390/bioengineering7040137] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 10/26/2020] [Accepted: 10/28/2020] [Indexed: 02/07/2023] Open
Abstract
The field of genetic engineering was born in 1973 with the "construction of biologically functional bacterial plasmids in vitro". Since then, a vast number of technologies have been developed allowing large-scale reading and writing of DNA, as well as tools for complex modifications and alterations of the genetic code. Natural genomes can be seen as software version 1.0; synthetic genomics aims to rewrite this software with "build to understand" and "build to apply" philosophies. One of the predominant model organisms is the baker's yeast Saccharomyces cerevisiae. Its importance ranges from ancient biotechnologies such as baking and brewing, to high-end valuable compound synthesis on industrial scales. This tiny sugar fungus contributed greatly to enabling humankind to reach its current development status. This review discusses recent developments in the field of genetic engineering for budding yeast S. cerevisiae, and its application in biotechnology. The article highlights advances from Sc1.0 to the developments in synthetic genomics paving the way towards Sc2.0. With the synthetic genome of Sc2.0 nearing completion, the article also aims to propose perspectives for potential Sc3.0 and subsequent versions as well as its implications for basic and applied research.
Collapse
Affiliation(s)
- Daniel Schindler
- Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
- Max Planck Institute for Terrestrial Microbiology, Karl-von-Frisch-Straße 10, 35043 Marburg, Germany; ; Tel.: +49-6421-178533
| |
Collapse
|
47
|
Gilliot PA, Gorochowski TE. Sequencing enabling design and learning in synthetic biology. Curr Opin Chem Biol 2020; 58:54-62. [DOI: 10.1016/j.cbpa.2020.06.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 04/21/2020] [Accepted: 06/02/2020] [Indexed: 01/27/2023]
|
48
|
Yang B, Feng X, Li C. Microbial Cell Factory for Efficiently Synthesizing Plant Natural Products via Optimizing the Location and Adaptation of Pathway on Genome Scale. Front Bioeng Biotechnol 2020; 8:969. [PMID: 32923436 PMCID: PMC7457125 DOI: 10.3389/fbioe.2020.00969] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 07/27/2020] [Indexed: 01/03/2023] Open
Abstract
Plant natural products (PNPs) possess important pharmacological activities and are widely used in cosmetics, health care products, and as food additives. Currently, most PNPs are mainly extracted from cultivated plants, and the yield is limited by the long growth cycle, climate change and complex processing steps, which makes the process unsustainable. However, the complex structure of PNPs significantly reduces the efficiency of chemical synthesis. With the development of metabolic engineering and synthetic biology, heterologous biosynthesis of PNPs in microbial cell factories offers an attractive alternative. Based on the in-depth mining and analysis of genome and transcriptome data, the biosynthetic pathways of a number of natural products have been successfully elucidated, which lays the crucial foundation for heterologous production. However, there are several problems in the microbial synthesis of PNPs, including toxicity of intermediates, low enzyme activity, multiple auxotrophic dependence, and uncontrollable metabolic network. Although various metabolic engineering strategies have been developed to solve these problems, optimizing the location and adaptation of pathways on the whole-genome scale is an important strategy in microorganisms. From this perspective, this review introduces the application of CRISPR/Cas9 in editing PNPs biosynthesis pathways in model microorganisms, the influences of pathway location, and the approaches for optimizing the adaptation between metabolic pathways and chassis hosts for facilitating PNPs biosynthesis.
Collapse
Affiliation(s)
- Bo Yang
- SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering, Key Laboratory of Systems Bioengineering, Ministry of Education, School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Xudong Feng
- Institute for Synthetic Biosystem/Department of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, China
| | - Chun Li
- SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering, Key Laboratory of Systems Bioengineering, Ministry of Education, School of Chemical Engineering and Technology, Tianjin University, Tianjin, China.,Institute for Synthetic Biosystem/Department of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, China.,Key Laboratory for Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing, China
| |
Collapse
|
49
|
Liu J, Wu X, Yao M, Xiao W, Zha J. Chassis engineering for microbial production of chemicals: from natural microbes to synthetic organisms. Curr Opin Biotechnol 2020; 66:105-112. [PMID: 32738762 DOI: 10.1016/j.copbio.2020.06.013] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 06/21/2020] [Accepted: 06/21/2020] [Indexed: 12/13/2022]
Abstract
Chassis provides a setting for the expression of heterologous pathway genes, which often requires extensive engineering to achieve complete functions. Traditionally, chassis engineering relies on gene deletion/overexpression for the regulation of precursor/cofactor supply and product transportation, which has generated thousands of high-performance strains. With the development of synthetic biology, chassis modifications have expanded to the synthesis of artificial cellular machineries, creating synthetic cells for the biosynthesis of bioproducts. In this review, we will discuss the development of chassis engineering technologies, termed the first-generation and second-generation technologies, and their applications in the creation of chassis for the production of valued-added chemicals, with an emphasis on synthetic chassis and their applications and potential. The development of chassis engineering technologies will advance rational design and construction of customized chassis for the manufacturing of target bioproducts.
Collapse
Affiliation(s)
- Jingyi Liu
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, Shaanxi 710021, China
| | - Xia Wu
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, Shaanxi 710021, China
| | - Mingdong Yao
- Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China; SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering, Tianjin 300072, China; Frontier Technology Research Institute, Tianjin University, Tianjin 301700, China
| | - Wenhai Xiao
- Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China; SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering, Tianjin 300072, China.
| | - Jian Zha
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, Shaanxi 710021, China.
| |
Collapse
|