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Ma Q, Yi J, Tang Y, Geng Z, Zhang C, Sun W, Liu Z, Xiong W, Wu H, Xie X. Co-utilization of carbon sources in microorganisms for the bioproduction of chemicals. Biotechnol Adv 2024; 73:108380. [PMID: 38759845 DOI: 10.1016/j.biotechadv.2024.108380] [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: 01/07/2024] [Revised: 04/14/2024] [Accepted: 05/14/2024] [Indexed: 05/19/2024]
Abstract
Carbon source is crucial for the cell growth and metabolism in microorganisms, and its utilization significantly affects the synthesis efficiency of target products in microbial cell factories. Compared with a single carbon source, co-utilizing carbon sources provide an alternative approach to optimize the utilization of different carbon sources for efficient biosynthesis of many chemicals with higher titer/yield/productivity. However, the efficiency of bioproduction is significantly limited by the sequential utilization of a preferred carbon source and secondary carbon sources, attributed to carbon catabolite repression (CCR). This review aimed to introduce the mechanisms of CCR and further focus on the summary of the strategies for co-utilization of carbon sources, including alleviation of CCR, engineering of the transport and metabolism of secondary carbon sources, compulsive co-utilization in single culture, co-utilization of carbon sources via co-culture, and evolutionary approaches. The findings of representative studies with a significant improvement in the bioproduction of chemicals via the co-utilization of carbon sources were discussed in this review. It suggested that by combining rational metabolic engineering and irrational evolutionary approaches, co-utilizing carbon sources can significantly contribute to the bioproduction of chemicals.
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Affiliation(s)
- Qian Ma
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China; National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Jinhang Yi
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Yulin Tang
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Zihao Geng
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Chunyue Zhang
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Wenchao Sun
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Zhengkai Liu
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Wenwen Xiong
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Heyun Wu
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China; National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Xixian Xie
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China; National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin University of Science and Technology, Tianjin 300457, China.
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Fiamenghi MB, Prodonoff JS, Borelli G, Carazzolle MF, Pereira GAG, José J. Comparative genomics reveals probable adaptations for xylose use in Thermoanaerobacterium saccharolyticum. Extremophiles 2024; 28:9. [PMID: 38190047 DOI: 10.1007/s00792-023-01327-x] [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: 06/06/2023] [Accepted: 11/28/2023] [Indexed: 01/09/2024]
Abstract
Second-generation ethanol, a promising biofuel for reducing greenhouse gas emissions, faces challenges due to the inefficient metabolism of xylose, a pentose sugar. Overcoming this hurdle requires exploration of genes, pathways, and organisms capable of fermenting xylose. Thermoanaerobacterium saccharolyticum is an organism capable of naturally fermenting compounds of industrial interest, such as xylose, and understanding evolutionary adaptations may help to bring novel genes and information that can be used for industrial yeast, increasing production of current bio-platforms. This study presents a deep evolutionary study of members of the firmicutes clade, focusing on adaptations in Thermoanaerobacterium saccharolyticum that may be related to overall fermentation metabolism, especially for xylose fermentation. One highlight is the finding of positive selection on a xylose-binding protein of the xylFGH operon, close to the annotated sugar binding site, with this protein already being found to be expressed in xylose fermenting conditions in a previous study. Results from this study can serve as basis for searching for candidate genes to use in industrial strains or to improve Thermoanaerobacterium saccharolyticum as a new microbial cell factory, which may help to solve current problems found in the biofuels' industry.
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Affiliation(s)
- Mateus Bernabe Fiamenghi
- Laboratory of Genomics and bioEnergy (LGE), Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, UNICAMP, Campinas, São Paulo, Brazil
| | - Juliana Silveira Prodonoff
- Laboratory of Genomics and bioEnergy (LGE), Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, UNICAMP, Campinas, São Paulo, Brazil
| | - Guilherme Borelli
- Laboratory of Genomics and bioEnergy (LGE), Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, UNICAMP, Campinas, São Paulo, Brazil
| | - Marcelo Falsarella Carazzolle
- Laboratory of Genomics and bioEnergy (LGE), Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, UNICAMP, Campinas, São Paulo, Brazil
| | - Gonçalo Amarante Guimaraes Pereira
- Laboratory of Genomics and bioEnergy (LGE), Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, UNICAMP, Campinas, São Paulo, Brazil.
| | - Juliana José
- Laboratory of Genomics and bioEnergy (LGE), Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, UNICAMP, Campinas, São Paulo, Brazil
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Liu J, Yang J, Yuan L, Wu C, Jiang Y, Zhuang W, Ying H, Yang S. Modulated Arabinose Uptake and cAMP Signaling Synergistically Improve Glucose and Arabinose Consumption in Recombinant Yeast. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:12797-12806. [PMID: 37592391 DOI: 10.1021/acs.jafc.3c04386] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/19/2023]
Abstract
During the production of ethanol from lignocellulose-derived sugars, recombinant yeasts tend to utilize xylose and arabinose after glucose exhaustion. So far, many glucose-insensitive pentose transporters have been reported to counteract this phenomenon, but few studies have described intracellular factors. In this study, the combination of adaptive evolution, comparative genomics, and genetic complementation revealed that the hexokinase-deficient (Hxk0) arabinose-fermenting Saccharomyces cerevisiae requires the arabinose transporter variant Gal2-N376T and the mutations of guanine nucleotide exchange factor Cdc25 to overcome glucose restriction during arabinose assimilation. The results showed that the Hxk0 recombinant yeasts could lower the metabolic/physiological threshold of cell proliferation by downregulating the intracellular cAMP levels, resulting in smaller cells and increased arabinose assimilation under glucose restriction. In the medium containing 80 g/L glucose and 20 g/L arabinose, the evolved strain restoring the hexokinase activity completed fermentation at 22 h, compared to 24 h for the parental strain. Overall, the experimental results provide new insights into glucose repression of biorefinery yeasts.
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Affiliation(s)
- Jinle Liu
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China
- School of Chemical Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Junjie Yang
- CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Lihua Yuan
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Chunhua Wu
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Yu Jiang
- Huzhou Center of Industrial Biotechnology, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, Huzhou 313000, China
| | - Wei Zhuang
- College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, No. 30, Puzhu South Road, Nanjing 211816, China
- School of Chemical Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Hanjie Ying
- College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, No. 30, Puzhu South Road, Nanjing 211816, China
- School of Chemical Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Sheng Yang
- CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- Huzhou Center of Industrial Biotechnology, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, Huzhou 313000, China
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Ting TY, Li Y, Bunawan H, Ramzi AB, Goh HH. Current advancements in systems and synthetic biology studies of Saccharomyces cerevisiae. J Biosci Bioeng 2023; 135:259-265. [PMID: 36803862 DOI: 10.1016/j.jbiosc.2023.01.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 01/03/2023] [Accepted: 01/26/2023] [Indexed: 02/18/2023]
Abstract
Saccharomyces cerevisiae has a long-standing history of biotechnological applications even before the dawn of modern biotechnology. The field is undergoing accelerated advancement with the recent systems and synthetic biology approaches. In this review, we highlight the recent findings in the field with a focus on omics studies of S. cerevisiae to investigate its stress tolerance in different industries. The latest advancements in S. cerevisiae systems and synthetic biology approaches for the development of genome-scale metabolic models (GEMs) and molecular tools such as multiplex Cas9, Cas12a, Cpf1, and Csy4 genome editing tools, modular expression cassette with optimal transcription factors, promoters, and terminator libraries as well as metabolic engineering. Omics data analysis is key to the identification of exploitable native genes/proteins/pathways in S. cerevisiae with the optimization of heterologous pathway implementation and fermentation conditions. Through systems and synthetic biology, various heterologous compound productions that require non-native biosynthetic pathways in a cell factory have been established via different strategies of metabolic engineering integrated with machine learning.
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Affiliation(s)
- Tiew-Yik Ting
- Institute of Systems Biology, University Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia
| | - YaDong Li
- Institute of Systems Biology, University Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia
| | - Hamidun Bunawan
- Institute of Systems Biology, University Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia
| | - Ahmad Bazli Ramzi
- Institute of Systems Biology, University Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia
| | - Hoe-Han Goh
- Institute of Systems Biology, University Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.
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