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Seong MJ, Yoon YR, Kwon KK, Kim H, Lee SG, Shin J, Lee DH. Automated Construction of a Yeast-Based Multigene Library via Homologous Recombination in a Biofoundry Workflow. ACS Synth Biol 2025. [PMID: 40331904 DOI: 10.1021/acssynbio.4c00812] [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: 05/08/2025]
Abstract
Efficiently building metabolic pathways via multigene assembly has long been constrained by the limitations of traditional cloning techniques, necessitating a breakthrough in gene assembly methods. Notably, various in vitro gene assembly methods have been developed to simplify the construction of an expression-tunable library. However, in vitro gene assembly requires a tedious multistep construction process, making it time-consuming and labor-intensive. Therefore, in this study, we developed an automated one-step multigene assembly method for constructing an expression-tunable library based on in vivo homologous recombination. We optimized the shuttle vector for in vivo homologous recombination to improve the assembly efficiency. We also scaled down the whole assembly method for a high-throughput gene assembly. Finally, the developed method demonstrated the construction of the expression-tunable multigene library in the biofoundry. Therefore, this study offers a versatile strategy for parallel and high-throughput genetic engineering in synthetic biology.
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Affiliation(s)
- Min-Jun Seong
- Synthetic Biology Research Center and the K-Biofoundry, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
- Department of Biosystems and Bioengineering, KRIBB School of Biotechnology, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - Ye Rin Yoon
- Synthetic Biology Research Center and the K-Biofoundry, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Kil Koang Kwon
- Synthetic Biology Research Center and the K-Biofoundry, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
- Department of Biosystems and Bioengineering, KRIBB School of Biotechnology, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - Haseong Kim
- Synthetic Biology Research Center and the K-Biofoundry, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
- Department of Biosystems and Bioengineering, KRIBB School of Biotechnology, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
- Graduate School of Engineering Biology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Seung-Goo Lee
- Synthetic Biology Research Center and the K-Biofoundry, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
- Department of Biosystems and Bioengineering, KRIBB School of Biotechnology, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
- Graduate School of Engineering Biology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Jonghyeok Shin
- Synthetic Biology Research Center and the K-Biofoundry, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
| | - Dae-Hee Lee
- Synthetic Biology Research Center and the K-Biofoundry, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
- Department of Biosystems and Bioengineering, KRIBB School of Biotechnology, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
- Graduate School of Engineering Biology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
- Department of Integrative Biotechnology, College of Biotechnology and Bioengineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
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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]
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Tellechea-Luzardo J, Otero-Muras I, Goñi-Moreno A, Carbonell P. Fast biofoundries: coping with the challenges of biomanufacturing. Trends Biotechnol 2022; 40:831-842. [PMID: 35012773 DOI: 10.1016/j.tibtech.2021.12.006] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 12/13/2021] [Accepted: 12/13/2021] [Indexed: 11/16/2022]
Abstract
Biofoundries are highly automated facilities that enable the rapid and efficient design, build, test, and learn cycle of biomanufacturing and engineering biology, which is applicable to both research and industrial production. However, developing a biofoundry platform can be expensive and time consuming. A biofoundry should grow organically, starting from a basic platform but with a vision for automation, equipment interoperability, and efficiency. By thinking about strategies early in the process through process planning, simulation, and optimization, bottlenecks can be identified and resolved. Here, we provide a survey of technological solutions in biofoundries and their advantages and limitations. We explore possible pathways towards the creation of a functional, early-phase biofoundry, and strategies towards long-term sustainability.
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Affiliation(s)
- Jonathan Tellechea-Luzardo
- Institute of Industrial Control Systems and Computing (AI2), Universitat Politécnica de València (UPV), 46022 València, Spain
| | - Irene Otero-Muras
- Institute for Integrative Systems Biology I2SysBio, Universitat de València-CSIC, Catedrático Agustín Escardino Benlloch 9, Paterna, 46980 València, Spain
| | - Angel Goñi-Moreno
- Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Pozuelo de Alarcón, 28223 Madrid, Spain
| | - Pablo Carbonell
- Institute of Industrial Control Systems and Computing (AI2), Universitat Politécnica de València (UPV), 46022 València, Spain.
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