1
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McDonnell L, Evans S, Lu Z, Suchoronczak M, Leighton J, Ordeniza E, Ritchie B, Valado N, Walsh N, Antoney J, Wang C, Luna-Flores CH, Scott C, Speight R, Vickers CE, Peng B. Cyanamide-inducible expression of homing nuclease I- SceI for selectable marker removal and promoter characterisation in Saccharomyces cerevisiae. Synth Syst Biotechnol 2024; 9:820-827. [PMID: 39072146 PMCID: PMC11277796 DOI: 10.1016/j.synbio.2024.06.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Revised: 06/27/2024] [Accepted: 06/27/2024] [Indexed: 07/30/2024] Open
Abstract
In synthetic biology, microbial chassis including yeast Saccharomyces cerevisiae are iteratively engineered with increasing complexity and scale. Wet-lab genetic engineering tools are developed and optimised to facilitate strain construction but are often incompatible with each other due to shared regulatory elements, such as the galactose-inducible (GAL) promoter in S. cerevisiae. Here, we prototyped the cyanamide-induced I- SceI expression, which triggered double-strand DNA breaks (DSBs) for selectable marker removal. We further combined cyanamide-induced I- SceI-mediated DSB and maltose-induced MazF-mediated negative selection for plasmid-free in situ promoter substitution, which simplified the molecular cloning procedure for promoter characterisation. We then characterised three tetracycline-inducible promoters showing differential strength, a non-leaky β-estradiol-inducible promoter, cyanamide-inducible DDI2 promoter, bidirectional MAL32/MAL31 promoters, and five pairs of bidirectional GAL1/GAL10 promoters. Overall, alternative regulatory controls for genome engineering tools can be developed to facilitate genomic engineering for synthetic biology and metabolic engineering applications.
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Affiliation(s)
- Liam McDonnell
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia
- ARC Centre of Excellence in Synthetic Biology, Australia
| | - Samuel Evans
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia
- ARC Centre of Excellence in Synthetic Biology, Australia
| | - Zeyu Lu
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia
- ARC Centre of Excellence in Synthetic Biology, Australia
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Mitch Suchoronczak
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia
| | - Jonah Leighton
- School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia
| | - Eugene Ordeniza
- School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia
| | - Blake Ritchie
- School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia
| | - Nik Valado
- School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia
| | - Niamh Walsh
- School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia
| | - James Antoney
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia
- ARC Centre of Excellence in Synthetic Biology, Australia
| | - Chengqiang Wang
- College of Life Sciences, Shandong Agricultural University, Taian, Shandong Province, 271018, People's Republic of China
| | - Carlos Horacio Luna-Flores
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia
| | - Colin Scott
- CSIRO Environment, Black Mountain Science and Innovation Park, Canberra, ACT, 2601, Australia
| | - Robert Speight
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia
- ARC Centre of Excellence in Synthetic Biology, Australia
- Advanced Engineering Biology Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Black Mountain, ACT, 2601, Australia
| | - Claudia E. Vickers
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia
- ARC Centre of Excellence in Synthetic Biology, Australia
| | - Bingyin Peng
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia
- ARC Centre of Excellence in Synthetic Biology, Australia
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, 4072, Australia
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2
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Chaisupa P, Wright RC. State-of-the-art in engineering small molecule biosensors and their applications in metabolic engineering. SLAS Technol 2024; 29:100113. [PMID: 37918525 DOI: 10.1016/j.slast.2023.10.005] [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: 07/07/2023] [Revised: 10/18/2023] [Accepted: 10/25/2023] [Indexed: 11/04/2023]
Abstract
Genetically encoded biosensors are crucial for enhancing our understanding of how molecules regulate biological systems. Small molecule biosensors, in particular, help us understand the interaction between chemicals and biological processes. They also accelerate metabolic engineering by increasing screening throughput and eliminating the need for sample preparation through traditional chemical analysis. Additionally, they offer significantly higher spatial and temporal resolution in cellular analyte measurements. In this review, we discuss recent progress in in vivo biosensors and control systems-biosensor-based controllers-for metabolic engineering. We also specifically explore protein-based biosensors that utilize less commonly exploited signaling mechanisms, such as protein stability and induced degradation, compared to more prevalent transcription factor and allosteric regulation mechanism. We propose that these lesser-used mechanisms will be significant for engineering eukaryotic systems and slower-growing prokaryotic systems where protein turnover may facilitate more rapid and reliable measurement and regulation of the current cellular state. Lastly, we emphasize the utilization of cutting-edge and state-of-the-art techniques in the development of protein-based biosensors, achieved through rational design, directed evolution, and collaborative approaches.
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Affiliation(s)
- Patarasuda Chaisupa
- Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, United States
| | - R Clay Wright
- Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, United States; Translational Plant Sciences Center (TPSC), Virginia Tech, Blacksburg, VA 24061, United States.
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3
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Peng B, Weintraub SJ, Lu Z, Evans S, Shen Q, McDonnell L, Plan M, Collier T, Cheah LC, Ji L, Howard CB, Anderson W, Trau M, Dumsday G, Bredeweg EL, Young EM, Speight R, Vickers CE. Integration of Yeast Episomal/Integrative Plasmid Causes Genotypic and Phenotypic Diversity and Improved Sesquiterpene Production in Metabolically Engineered Saccharomyces cerevisiae. ACS Synth Biol 2024; 13:141-156. [PMID: 38084917 DOI: 10.1021/acssynbio.3c00363] [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: 01/23/2024]
Abstract
The variability in phenotypic outcomes among biological replicates in engineered microbial factories presents a captivating mystery. Establishing the association between phenotypic variability and genetic drivers is important to solve this intricate puzzle. We applied a previously developed auxin-inducible depletion of hexokinase 2 as a metabolic engineering strategy for improved nerolidol production in Saccharomyces cerevisiae, and biological replicates exhibit a dichotomy in nerolidol production of either 3.5 or 2.5 g L-1 nerolidol. Harnessing Oxford Nanopore's long-read genomic sequencing, we reveal a potential genetic cause─the chromosome integration of a 2μ sequence-based yeast episomal plasmid, encoding the expression cassettes for nerolidol synthetic enzymes. This finding was reinforced through chromosome integration revalidation, engineering nerolidol and valencene production strains, and generating a diverse pool of yeast clones, each uniquely fingerprinted by gene copy numbers, plasmid integrations, other genomic rearrangements, protein expression levels, growth rate, and target product productivities. Τhe best clone in two strains produced 3.5 g L-1 nerolidol and ∼0.96 g L-1 valencene. Comparable genotypic and phenotypic variations were also generated through the integration of a yeast integrative plasmid lacking 2μ sequences. Our work shows that multiple factors, including plasmid integration status, subchromosomal location, gene copy number, sesquiterpene synthase expression level, and genome rearrangement, together play a complicated determinant role on the productivities of sesquiterpene product. Integration of yeast episomal/integrative plasmids may be used as a versatile method for increasing the diversity and optimizing the efficiency of yeast cell factories, thereby uncovering metabolic control mechanisms.
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Affiliation(s)
- Bingyin Peng
- ARC Centre of Excellence in Synthetic Biology, Sydney, NSW 2109, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Sarah J Weintraub
- Bioinformatics and Computational Biology, Worcester Polytechnic Institute, Worcester, Massachusetts 01609, United States of America
| | - Zeyu Lu
- ARC Centre of Excellence in Synthetic Biology, Sydney, NSW 2109, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Samuel Evans
- ARC Centre of Excellence in Synthetic Biology, Sydney, NSW 2109, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Qianyi Shen
- ARC Centre of Excellence in Synthetic Biology, Sydney, NSW 2109, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- School of Chemistry and Molecular Biosciences (SCMB), The University of Queensland, Brisbane, QLD4072, Australia
| | - Liam McDonnell
- ARC Centre of Excellence in Synthetic Biology, Sydney, NSW 2109, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Manuel Plan
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- Metabolomics Australia (Queensland Node), Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Thomas Collier
- ARC Centre of Excellence in Synthetic Biology, Sydney, NSW 2109, Australia
- School of Natural Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Li Chen Cheah
- ARC Centre of Excellence in Synthetic Biology, Sydney, NSW 2109, Australia
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Lei Ji
- Shandong Provincial Key Laboratory of Applied Microbiology, Ecology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, PR China
| | - Christopher B Howard
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Will Anderson
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Matt Trau
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- School of Chemistry and Molecular Biosciences (SCMB), The University of Queensland, Brisbane, QLD4072, Australia
| | | | - Erin L Bredeweg
- Functional and Systems Biology Group, Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Eric M Young
- Department of Chemical Engineering, Worcester Polytechnic Institute, Worcester, Massachusetts 01609, United States
| | - Robert Speight
- ARC Centre of Excellence in Synthetic Biology, Sydney, NSW 2109, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
- Advanced Engineering Biology Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Black Mountain, ACT 2601, Australia
| | - Claudia E Vickers
- ARC Centre of Excellence in Synthetic Biology, Sydney, NSW 2109, Australia
- Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
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4
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Yang X, Zhang Y, Zhao G. Artificial carbon assimilation: From unnatural reactions and pathways to synthetic autotrophic systems. Biotechnol Adv 2024; 70:108294. [PMID: 38013126 DOI: 10.1016/j.biotechadv.2023.108294] [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: 07/28/2023] [Revised: 10/26/2023] [Accepted: 11/18/2023] [Indexed: 11/29/2023]
Abstract
Synthetic biology is being increasingly used to establish novel carbon assimilation pathways and artificial autotrophic strains that can be used in low-carbon biomanufacturing. Currently, artificial pathway design has made significant progress from advocacy to practice within a relatively short span of just over ten years. However, there is still huge scope for exploration of pathway diversity, operational efficiency, and host suitability. The accelerated research process will bring greater opportunities and challenges. In this paper, we provide a comprehensive summary and interpretation of representative one-carbon assimilation pathway designs and artificial autotrophic strain construction work. In addition, we propose some feasible design solutions based on existing research results and patterns to promote the development and application of artificial autotrophy.
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Affiliation(s)
- Xue Yang
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China; National Center of Technology Innovation for Synthetic Biology, Tianjin 300308, China; Haihe Laboratory of Synthetic Biology, Tianjin 300308, China
| | - Yanfei Zhang
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China; National Center of Technology Innovation for Synthetic Biology, Tianjin 300308, China.
| | - Guoping Zhao
- National Center of Technology Innovation for Synthetic Biology, Tianjin 300308, China; CAS-Key Laboratory of Synthetic Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200032, China.
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5
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Cheah LC, Liu L, Plan MR, Peng B, Lu Z, Schenk G, Vickers CE, Sainsbury F. Product Profiles of Promiscuous Enzymes Can be Altered by Controlling In Vivo Spatial Organization. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2303415. [PMID: 37750486 PMCID: PMC10646250 DOI: 10.1002/advs.202303415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 07/31/2023] [Indexed: 09/27/2023]
Abstract
Enzyme spatial organization is an evolved mechanism for facilitating multi-step biocatalysis and can play an important role in the regulation of promiscuous enzymes. The latter function suggests that artificial spatial organization can be an untapped avenue for controlling the specificity of bioengineered metabolic pathways. A promiscuous terpene synthase (nerolidol synthase) is co-localized and spatially organized with the preceding enzyme (farnesyl diphosphate synthase) in a heterologous production pathway, via translational protein fusion and/or co-encapsulation in a self-assembling protein cage. Spatial organization enhances nerolidol production by ≈11- to ≈62-fold relative to unorganized enzymes. More interestingly, striking differences in the ratio of end products (nerolidol and linalool) are observed with each spatial organization approach. This demonstrates that artificial spatial organization approaches can be harnessed to modulate the product profiles of promiscuous enzymes in engineered pathways in vivo. This extends the application of spatial organization beyond situations where multiple enzymes compete for a single substrate to cases where there is competition among multiple substrates for a single enzyme.
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Affiliation(s)
- Li Chen Cheah
- Australian Institute for Bioengineering and NanotechnologyThe University of QueenslandSt LuciaQLD4072Australia
- CSIRO Future Science Platform in Synthetic BiologyCommonwealth Scientific and Industrial Research Organisation (CSIRO)Dutton ParkSt LuciaQLD4102Australia
- Present address:
Australian Centre for Disease Preparedness5 Portarlington RdEast GeelongVIC3219Australia
| | - Lian Liu
- Metabolomics Australia (Queensland Node)The University of QueenslandSt LuciaQLD4072Australia
| | - Manuel R. Plan
- Metabolomics Australia (Queensland Node)The University of QueenslandSt LuciaQLD4072Australia
| | - Bingyin Peng
- Australian Institute for Bioengineering and NanotechnologyThe University of QueenslandSt LuciaQLD4072Australia
- CSIRO Future Science Platform in Synthetic BiologyCommonwealth Scientific and Industrial Research Organisation (CSIRO)Dutton ParkSt LuciaQLD4102Australia
- ARC Centre of Excellence in Synthetic BiologyQueensland University of TechnologyBrisbaneQLD4000Australia
- School of Biological and Environmental ScienceQueensland University of TechnologyBrisbaneQLD4000Australia
| | - Zeyu Lu
- Australian Institute for Bioengineering and NanotechnologyThe University of QueenslandSt LuciaQLD4072Australia
- ARC Centre of Excellence in Synthetic BiologyQueensland University of TechnologyBrisbaneQLD4000Australia
| | - Gerhard Schenk
- Australian Institute for Bioengineering and NanotechnologyThe University of QueenslandSt LuciaQLD4072Australia
- School of Chemistry and Molecular BiosciencesThe University of QueenslandSt LuciaQLD4072Australia
| | - Claudia E. Vickers
- Australian Institute for Bioengineering and NanotechnologyThe University of QueenslandSt LuciaQLD4072Australia
- CSIRO Future Science Platform in Synthetic BiologyCommonwealth Scientific and Industrial Research Organisation (CSIRO)Dutton ParkSt LuciaQLD4102Australia
- ARC Centre of Excellence in Synthetic BiologyQueensland University of TechnologyBrisbaneQLD4000Australia
- School of Biological and Environmental ScienceQueensland University of TechnologyBrisbaneQLD4000Australia
- Centre for Cell Factories and BiopolymersGriffith Institute for Drug DiscoveryGriffith UniversityNathanQLD4111Australia
| | - Frank Sainsbury
- Australian Institute for Bioengineering and NanotechnologyThe University of QueenslandSt LuciaQLD4072Australia
- CSIRO Future Science Platform in Synthetic BiologyCommonwealth Scientific and Industrial Research Organisation (CSIRO)Dutton ParkSt LuciaQLD4102Australia
- Centre for Cell Factories and BiopolymersGriffith Institute for Drug DiscoveryGriffith UniversityNathanQLD4111Australia
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6
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Krell T, Gavira JA, Roca A, Matilla MA. The emerging role of auxins as bacterial signal molecules: Potential biotechnological applications. Microb Biotechnol 2023. [PMID: 37466451 PMCID: PMC10364314 DOI: 10.1111/1751-7915.14235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 02/01/2023] [Indexed: 07/20/2023] Open
Abstract
Microorganisms are exposed in their natural niches to a wide diversity of signal molecules. Specific detection of these signals results in alterations in microbial metabolism and physiology. Auxins like indole-3-acetic acid are key phytohormones that regulate plant growth and development. Nonetheless, auxin biosynthesis is not restricted to plants but is ubiquitous in all kingdoms of life. This wide phylogenetic distribution of auxins production, together with the diversity of regulated cellular processes, have made auxins key intra- and inter-kingdom signal molecules in life modulating, for example microbial physiology, metabolism and virulence. Despite their increasing importance as global signal molecules, the mechanisms by which auxins perform their regulatory functions in microorganisms are largely unknown. In this article, we outline recent research that has advanced our knowledge of the mechanisms of bacterial auxin perception. We also highlight the potential applications of this research in aspects such as antibiotic production, biosensor design, plant microbiome engineering and antivirulence therapies.
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Affiliation(s)
- Tino Krell
- Department of Biotechnology and Environmental Protection, Estación Experimental del Zaidín, Consejo Superior de Investigaciones Científicas, Granada, Spain
| | - José A Gavira
- Laboratory of Crystallographic Studies, IACT (CSIC-UGR), Armilla, Spain
| | - Amalia Roca
- Department of Microbiology, Facultad de Farmacia, Universidad de Granada, Granada, Spain
| | - Miguel A Matilla
- Department of Biotechnology and Environmental Protection, Estación Experimental del Zaidín, Consejo Superior de Investigaciones Científicas, Granada, Spain
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7
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Cheah LC, Liu L, Stark T, Plan MR, Peng B, Lu Z, Schenk G, Sainsbury F, Vickers CE. Metabolic flux enhancement from the translational fusion of terpene synthases is linked to terpene synthase accumulation. Metab Eng 2023; 77:143-151. [PMID: 36990382 DOI: 10.1016/j.ymben.2023.03.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/13/2023] [Accepted: 03/26/2023] [Indexed: 03/30/2023]
Abstract
The end-to-end fusion of enzymes that catalyse successive steps in a reaction pathway is a metabolic engineering strategy that has been successfully applied in a variety of pathways and is particularly common in terpene bioproduction. Despite its popularity, limited work has been done to interrogate the mechanism of metabolic enhancement from enzyme fusion. We observed a remarkable >110-fold improvement in nerolidol production upon translational fusion of nerolidol synthase (a sesquiterpene synthase) to farnesyl diphosphate synthase. This delivered a titre increase from 29.6 mg/L up to 4.2 g/L nerolidol in a single engineering step. Whole-cell proteomic analysis revealed that nerolidol synthase levels in the fusion strains were greatly elevated compared to the non-fusion control. Similarly, the fusion of nerolidol synthase to non-catalytic domains also produced comparable increases in titre, which coincided with improved enzyme expression. When farnesyl diphosphate synthase was fused to other terpene synthases, we observed more modest improvements in terpene titre (1.9- and 3.8-fold), corresponding with increases of a similar magnitude in terpene synthase levels. Our data demonstrate that increased in vivo enzyme levels - resulting from improved expression and/or improved protein stability - is a major driver of catalytic enhancement from enzyme fusion.
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Affiliation(s)
- Li Chen Cheah
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, 4072, Australia; CSIRO Future Science Platform in Synthetic Biology, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Dutton Park, QLD, 4102, Australia
| | - Lian Liu
- Metabolomics Australia (Queensland Node), The University of Queensland, QLD, 4072, Australia
| | - Terra Stark
- Metabolomics Australia (Queensland Node), The University of Queensland, QLD, 4072, Australia
| | - Manuel R Plan
- Metabolomics Australia (Queensland Node), The University of Queensland, QLD, 4072, Australia
| | - Bingyin Peng
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, 4072, Australia; CSIRO Future Science Platform in Synthetic Biology, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Dutton Park, QLD, 4102, Australia; ARC Centre of Excellence in Synthetic Biology, Queensland University of Technology, Brisbane, QLD, 4000, Australia
| | - Zeyu Lu
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, 4072, Australia; ARC Centre of Excellence in Synthetic Biology, Queensland University of Technology, Brisbane, QLD, 4000, Australia
| | - Gerhard Schenk
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, 4072, Australia; School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Frank Sainsbury
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, 4072, Australia; CSIRO Future Science Platform in Synthetic Biology, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Dutton Park, QLD, 4102, Australia; Centre for Cell Factories and Biopolymers, Griffith Institute for Drug Discovery, Griffith University, Nathan, QLD, 4111, Australia.
| | - Claudia E Vickers
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, 4072, Australia; CSIRO Future Science Platform in Synthetic Biology, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Dutton Park, QLD, 4102, Australia; ARC Centre of Excellence in Synthetic Biology, Queensland University of Technology, Brisbane, QLD, 4000, Australia; School of Biological and Environmental Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia; Centre for Cell Factories and Biopolymers, Griffith Institute for Drug Discovery, Griffith University, Nathan, QLD, 4111, Australia.
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8
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He S, Zhang Z, Lu W. Natural promoters and promoter engineering strategies for metabolic regulation in Saccharomyces cerevisiae. J Ind Microbiol Biotechnol 2023; 50:6986260. [PMID: 36633543 PMCID: PMC9936215 DOI: 10.1093/jimb/kuac029] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 12/19/2022] [Indexed: 01/13/2023]
Abstract
Sharomyces cerevisiae is currently one of the most important foreign gene expression systems. S. cerevisiae is an excellent host for high-value metabolite cell factories due to its advantages of simplicity, safety, and nontoxicity. A promoter, as one of the basic elements of gene transcription, plays an important role in regulating gene expression and optimizing metabolic pathways. Promoters control the direction and intensity of transcription, and the application of promoters with different intensities and performances will largely determine the effect of gene expression and ultimately affect the experimental results. Due to its significant role, there have been many studies on promoters for decades. While some studies have explored and analyzed new promoters with different functions, more studies have focused on artificially modifying promoters to meet their own scientific needs. Thus, this article reviews current research on promoter engineering techniques and related natural promoters in S. cerevisiae. First, we introduce the basic structure of promoters and the classification of natural promoters. Then, the classification of various promoter strategies is reviewed. Finally, by grouping related articles together using various strategies, this review anticipates the future development direction of promoter engineering.
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Affiliation(s)
| | - Zhanwei Zhang
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, PR China
| | - Wenyu Lu
- Correspondence should be addressed to: W. Y. Lu, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, PR China. Phone: +86-22-853-56523. Fax: +86-22-274-00973. E-mail:
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9
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Sun Y, Zhang T, Lu B, Li X, Jiang L. Application of cofactors in the regulation of microbial metabolism: A state of the art review. Front Microbiol 2023; 14:1145784. [PMID: 37113222 PMCID: PMC10126289 DOI: 10.3389/fmicb.2023.1145784] [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: 01/16/2023] [Accepted: 03/15/2023] [Indexed: 04/29/2023] Open
Abstract
Cofactors are crucial chemicals that maintain cellular redox balance and drive the cell to do synthetic and catabolic reactions. They are involved in practically all enzymatic activities that occur in live cells. It has been a hot research topic in recent years to manage their concentrations and forms in microbial cells by using appropriate techniques to obtain more high-quality target products. In this review, we first summarize the physiological functions of common cofactors, and give a brief overview of common cofactors acetyl coenzyme A, NAD(P)H/NAD(P)+, and ATP/ADP; then we provide a detailed introduction of intracellular cofactor regeneration pathways, review the regulation of cofactor forms and concentrations by molecular biological means, and review the existing regulatory strategies of microbial cellular cofactors and their application progress, to maximize and rapidly direct the metabolic flux to target metabolites. Finally, we speculate on the future of cofactor engineering applications in cell factories. Graphical Abstract.
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Affiliation(s)
- Yang Sun
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Food Science and Light Industry, Nanjing Tech University, Nanjing, China
| | - Ting Zhang
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Food Science and Light Industry, Nanjing Tech University, Nanjing, China
| | - Bingqian Lu
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Food Science and Light Industry, Nanjing Tech University, Nanjing, China
| | - Xiangfei Li
- Engineering Laboratory for Industrial Microbiology Molecular Beeding of Anhui Province, College of Biologic and Food Engineering, Anhui Polytechnic University, Wuhu, China
- *Correspondence: Xiangfei Li,
| | - Ling Jiang
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Food Science and Light Industry, Nanjing Tech University, Nanjing, China
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10
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Peng B, Esquirol L, Lu Z, Shen Q, Cheah LC, Howard CB, Scott C, Trau M, Dumsday G, Vickers CE. An in vivo gene amplification system for high level expression in Saccharomyces cerevisiae. Nat Commun 2022; 13:2895. [PMID: 35610221 PMCID: PMC9130285 DOI: 10.1038/s41467-022-30529-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 05/05/2022] [Indexed: 11/09/2022] Open
Abstract
Bottlenecks in metabolic pathways due to insufficient gene expression levels remain a significant problem for industrial bioproduction using microbial cell factories. Increasing gene dosage can overcome these bottlenecks, but current approaches suffer from numerous drawbacks. Here, we describe HapAmp, a method that uses haploinsufficiency as evolutionary force to drive in vivo gene amplification. HapAmp enables efficient, titratable, and stable integration of heterologous gene copies, delivering up to 47 copies onto the yeast genome. The method is exemplified in metabolic engineering to significantly improve production of the sesquiterpene nerolidol, the monoterpene limonene, and the tetraterpene lycopene. Limonene titre is improved by 20-fold in a single engineering step, delivering ∼1 g L-1 in the flask cultivation. We also show a significant increase in heterologous protein production in yeast. HapAmp is an efficient approach to unlock metabolic bottlenecks rapidly for development of microbial cell factories.
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Affiliation(s)
- Bingyin Peng
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, 4072, Australia. .,CSIRO Synthetic Biology Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Black Mountain, ACT, 2601, Australia. .,ARC Centre of Excellence in Synthetic Biology, Queensland University of Technology, Brisbane, QLD, 4000, Australia. .,Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia.
| | - Lygie Esquirol
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, 4072, Australia.,Griffith Institute for Drug Discovery, Griffith University, Brisbane, QLD, 4111, Australia
| | - Zeyu Lu
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, 4072, Australia.,ARC Centre of Excellence in Synthetic Biology, Queensland University of Technology, Brisbane, QLD, 4000, Australia.,Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia
| | - Qianyi Shen
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, 4072, Australia.,ARC Centre of Excellence in Synthetic Biology, Queensland University of Technology, Brisbane, QLD, 4000, Australia.,Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia
| | - Li Chen Cheah
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, 4072, Australia.,ARC Centre of Excellence in Synthetic Biology, Queensland University of Technology, Brisbane, QLD, 4000, Australia
| | - Christopher B Howard
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Colin Scott
- CSIRO Synthetic Biology Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Black Mountain, ACT, 2601, Australia.,Biocatalysis and Synthetic Biology Team, CSIRO Land and Water, Black Mountain Science and Innovation Park, Canberra, ACT, 2061, Australia
| | - Matt Trau
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, 4072, Australia.,School of Chemistry and Molecular Biosciences (SCMB), The University of Queensland, Brisbane, QLD, 4072, Australia
| | | | - Claudia E Vickers
- CSIRO Synthetic Biology Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Black Mountain, ACT, 2601, Australia. .,ARC Centre of Excellence in Synthetic Biology, Queensland University of Technology, Brisbane, QLD, 4000, Australia. .,Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, QLD, 4000, Australia. .,Griffith Institute for Drug Discovery, Griffith University, Brisbane, QLD, 4111, Australia.
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Engineering eukaryote-like regulatory circuits to expand artificial control mechanisms for metabolic engineering in Saccharomyces cerevisiae. Commun Biol 2022; 5:135. [PMID: 35173283 PMCID: PMC8850539 DOI: 10.1038/s42003-022-03070-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 01/20/2022] [Indexed: 12/22/2022] Open
Abstract
Temporal control of heterologous pathway expression is critical to achieve optimal efficiency in microbial metabolic engineering. The broadly-used GAL promoter system for engineered yeast (Saccharomyces cerevisiae) suffers from several drawbacks; specifically, unintended induction during laboratory development, and unintended repression in industrial production applications, which decreases overall production capacity. Eukaryotic synthetic circuits have not been well examined to address these problems. Here, we explore a modularised engineering method to deploy new genetic circuits applicable for expanding the control of GAL promoter-driven heterologous pathways in S. cerevisiae. Trans- and cis- modules, including eukaryotic trans-activating-and-repressing mechanisms, were characterised to provide new and better tools for circuit design. A eukaryote-like tetracycline-mediated circuit that delivers stringent repression was engineered to minimise metabolic burden during strain development and maintenance. This was combined with a novel 37 °C induction circuit to relief glucose-mediated repression on the GAL promoter during the bioprocess. This delivered a 44% increase in production of the terpenoid nerolidol, to 2.54 g L-1 in flask cultivation. These negative/positive transcriptional regulatory circuits expand global strategies of metabolic control to facilitate laboratory maintenance and for industry applications.
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