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Jiang L, Shen Y, Jiang Y, Mei W, Wei L, Feng J, Wei C, Liao X, Mo Y, Pan L, Wei M, Gu Y, Zheng J. Amino acid metabolism and MAP kinase signaling pathway play opposite roles in the regulation of ethanol production during fermentation of sugarcane molasses in budding yeast. Genomics 2024; 116:110811. [PMID: 38387766 DOI: 10.1016/j.ygeno.2024.110811] [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: 11/03/2023] [Revised: 02/15/2024] [Accepted: 02/19/2024] [Indexed: 02/24/2024]
Abstract
Sugarcane molasses is one of the main raw materials for bioethanol production, and Saccharomyces cerevisiae is the major biofuel-producing organism. In this study, a batch fermentation model has been used to examine ethanol titers of deletion mutants for all yeast nonessential genes in this yeast genome. A total of 42 genes are identified to be involved in ethanol production during fermentation of sugarcane molasses. Deletion mutants of seventeen genes show increased ethanol titers, while deletion mutants for twenty-five genes exhibit reduced ethanol titers. Two MAP kinases Hog1 and Kss1 controlling the high osmolarity and glycerol (HOG) signaling and the filamentous growth, respectively, are negatively involved in the regulation of ethanol production. In addition, twelve genes involved in amino acid metabolism are crucial for ethanol production during fermentation. Our findings provide novel targets and strategies for genetically engineering industrial yeast strains to improve ethanol titer during fermentation of sugarcane molasses.
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Affiliation(s)
- Linghuo Jiang
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China.
| | - Yuzhi Shen
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Yongqiang Jiang
- Institute of Biology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Weiping Mei
- Institute of Eco-Environmental Research, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Liudan Wei
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Jinrong Feng
- Pathogen Biology Department, Nantong University, Nantong, Jiangsu 226001, China
| | - Chunyu Wei
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Xiufan Liao
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Yiping Mo
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Lingxin Pan
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Min Wei
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Yiying Gu
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Jiashi Zheng
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
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Wolf IR, Marques LF, de Almeida LF, Lázari LC, de Moraes LN, Cardoso LH, Alves CCDO, Nakajima RT, Schnepper AP, Golim MDA, Cataldi TR, Nijland JG, Pinto CM, Fioretto MN, Almeida RO, Driessen AJM, Simōes RP, Labate MV, Grotto RMT, Labate CA, Fernandes Junior A, Justulin LA, Coan RLB, Ramos É, Furtado FB, Martins C, Valente GT. Integrative Analysis of the Ethanol Tolerance of Saccharomyces cerevisiae. Int J Mol Sci 2023; 24:ijms24065646. [PMID: 36982719 PMCID: PMC10051466 DOI: 10.3390/ijms24065646] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 02/25/2023] [Accepted: 03/06/2023] [Indexed: 03/18/2023] Open
Abstract
Ethanol (EtOH) alters many cellular processes in yeast. An integrated view of different EtOH-tolerant phenotypes and their long noncoding RNAs (lncRNAs) is not yet available. Here, large-scale data integration showed the core EtOH-responsive pathways, lncRNAs, and triggers of higher (HT) and lower (LT) EtOH-tolerant phenotypes. LncRNAs act in a strain-specific manner in the EtOH stress response. Network and omics analyses revealed that cells prepare for stress relief by favoring activation of life-essential systems. Therefore, longevity, peroxisomal, energy, lipid, and RNA/protein metabolisms are the core processes that drive EtOH tolerance. By integrating omics, network analysis, and several other experiments, we showed how the HT and LT phenotypes may arise: (1) the divergence occurs after cell signaling reaches the longevity and peroxisomal pathways, with CTA1 and ROS playing key roles; (2) signals reaching essential ribosomal and RNA pathways via SUI2 enhance the divergence; (3) specific lipid metabolism pathways also act on phenotype-specific profiles; (4) HTs take greater advantage of degradation and membraneless structures to cope with EtOH stress; and (5) our EtOH stress-buffering model suggests that diauxic shift drives EtOH buffering through an energy burst, mainly in HTs. Finally, critical genes, pathways, and the first models including lncRNAs to describe nuances of EtOH tolerance are reported here.
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Affiliation(s)
- Ivan Rodrigo Wolf
- Department of Bioprocess and Biotechnology, School of Agriculture, São Paulo State University (UNESP), Botucatu 18610-034, Brazil; (I.R.W.)
- Department of Structural and Functional Biology, Institute of Biosciences, São Paulo State University (UNESP), Botucatu 18618-689, Brazil
| | - Lucas Farinazzo Marques
- Department of Bioprocess and Biotechnology, School of Agriculture, São Paulo State University (UNESP), Botucatu 18610-034, Brazil; (I.R.W.)
| | - Lauana Fogaça de Almeida
- Department of Bioprocess and Biotechnology, School of Agriculture, São Paulo State University (UNESP), Botucatu 18610-034, Brazil; (I.R.W.)
- Laboratory of Applied Biotechnology, Clinical Hospital of the Medical School, São Paulo State University (UNESP), Botucatu 18618-970, Brazil
| | - Lucas Cardoso Lázari
- Department of Bioprocess and Biotechnology, School of Agriculture, São Paulo State University (UNESP), Botucatu 18610-034, Brazil; (I.R.W.)
- Department of Parasitology, Biomedical Sciences Institute, University of São Paulo (USP), São Paulo 05508-000, Brazil
| | - Leonardo Nazário de Moraes
- Department of Bioprocess and Biotechnology, School of Agriculture, São Paulo State University (UNESP), Botucatu 18610-034, Brazil; (I.R.W.)
| | - Luiz Henrique Cardoso
- Department of Bioprocess and Biotechnology, School of Agriculture, São Paulo State University (UNESP), Botucatu 18610-034, Brazil; (I.R.W.)
| | - Camila Cristina de Oliveira Alves
- Department of Bioprocess and Biotechnology, School of Agriculture, São Paulo State University (UNESP), Botucatu 18610-034, Brazil; (I.R.W.)
| | - Rafael Takahiro Nakajima
- Department of Structural and Functional Biology, Institute of Biosciences, São Paulo State University (UNESP), Botucatu 18618-689, Brazil
| | - Amanda Piveta Schnepper
- Department of Bioprocess and Biotechnology, School of Agriculture, São Paulo State University (UNESP), Botucatu 18610-034, Brazil; (I.R.W.)
| | - Marjorie de Assis Golim
- Laboratory of Applied Biotechnology, Clinical Hospital of the Medical School, São Paulo State University (UNESP), Botucatu 18618-970, Brazil
| | - Thais Regiani Cataldi
- Laboratório Max Feffer de Genética de Plantas, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo (USP), Piracicaba 13418-900, Brazil
| | - Jeroen G. Nijland
- Molecular Microbiology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Nijenborgh 7, 9747 AG Groningen, The Netherlands
- Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 7, 9747 AG Groningen, The Netherlands
| | - Camila Moreira Pinto
- Department of Bioprocess and Biotechnology, School of Agriculture, São Paulo State University (UNESP), Botucatu 18610-034, Brazil; (I.R.W.)
| | - Matheus Naia Fioretto
- Department of Structural and Functional Biology, Institute of Biosciences, São Paulo State University (UNESP), Botucatu 18618-689, Brazil
| | - Rodrigo Oliveira Almeida
- Instituto Federal de Educação, Ciência e Tecnologia do Sudeste de Minas Gerais–Campus Muriaé, Muriaé 36884-036, Brazil
| | - Arnold J. M. Driessen
- Molecular Microbiology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Nijenborgh 7, 9747 AG Groningen, The Netherlands
- Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 7, 9747 AG Groningen, The Netherlands
| | - Rafael Plana Simōes
- Department of Bioprocess and Biotechnology, School of Agriculture, São Paulo State University (UNESP), Botucatu 18610-034, Brazil; (I.R.W.)
| | - Mônica Veneziano Labate
- Laboratório Max Feffer de Genética de Plantas, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo (USP), Piracicaba 13418-900, Brazil
| | - Rejane Maria Tommasini Grotto
- Department of Bioprocess and Biotechnology, School of Agriculture, São Paulo State University (UNESP), Botucatu 18610-034, Brazil; (I.R.W.)
- Laboratory of Applied Biotechnology, Clinical Hospital of the Medical School, São Paulo State University (UNESP), Botucatu 18618-970, Brazil
| | - Carlos Alberto Labate
- Laboratório Max Feffer de Genética de Plantas, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo (USP), Piracicaba 13418-900, Brazil
| | - Ary Fernandes Junior
- Laboratory of Bacteriology, Department of Chemical and Biological Sciences, Institute of Biosciences, São Paulo State University (UNESP), Botucatu 18618-689, Brazil
| | - Luis Antonio Justulin
- Department of Structural and Functional Biology, Institute of Biosciences, São Paulo State University (UNESP), Botucatu 18618-689, Brazil
| | - Rafael Luiz Buogo Coan
- Department of Biophysics and Pharmacology, Institute of Biosciences, São Paulo State University (UNESP), Botucatu 18618-689, Brazil
| | - Érica Ramos
- Department of Structural and Functional Biology, Institute of Biosciences, São Paulo State University (UNESP), Botucatu 18618-689, Brazil
| | - Fabiana Barcelos Furtado
- Laboratory of Applied Biotechnology, Clinical Hospital of the Medical School, São Paulo State University (UNESP), Botucatu 18618-970, Brazil
| | - Cesar Martins
- Department of Structural and Functional Biology, Institute of Biosciences, São Paulo State University (UNESP), Botucatu 18618-689, Brazil
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Porras-Agüera JA, Moreno-García J, García-Martínez T, Moreno J, Mauricio JC. Impact of CO 2 overpressure on yeast mitochondrial associated proteome during the "prise de mousse" of sparkling wine production. Int J Food Microbiol 2021; 348:109226. [PMID: 33964807 DOI: 10.1016/j.ijfoodmicro.2021.109226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 04/07/2021] [Accepted: 04/25/2021] [Indexed: 11/25/2022]
Abstract
The "prise de mousse" stage during sparkling wine elaboration by the traditional method (Champenoise) involves a second fermentation in a sealed bottle followed by a prolonged aging period, known to contribute significantly to the unique organoleptic properties of these wines. During this stage, CO2 overpressure, nutrient starvation and high ethanol concentrations are stress factors that affect yeast cells viability and metabolism. Since mitochondria are responsible for energy generation and are required for cell aging and response to numerous stresses, we hypothesized that these organelles may play an essential role during the prise de mousse. The objective of this study is to characterize the mitochondrial response of a Saccharomyces cerevisiae strain traditionally used in sparkling wine production along the "prise de mousse" and study the effect of CO2 overpressure through a proteomic analysis. We observed that pressure negatively affects the content of mitochondrion-related proteome, especially to those proteins involved in tricarboxylic acid cycle. However, proteins required for the branched-amino acid synthesis, implied in wine aromas, and respiratory chain, also previously reported by transcriptomic analyses, were found over-represented in the sealed bottles. Multivariate analysis of proteins required for tricarboxylic cycle, respiratory chain and amino acid metabolism revealed differences in concentrations, allowing the wine samples to group depending on the time and CO2 overpressure parameters. Ethanol content along the second fermentation could be the main reason for this changing behavior observed at proteomic level. Further research including genetic studies, determination of ROS, characterization of mitochondrial activity and targeted metabolomics analyses is required. The list of mitochondrial proteins provided in this work will lead to a better understanding of the yeast behavior under these conditions of special interest in the wine industry.
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Affiliation(s)
- Juan Antonio Porras-Agüera
- Department of Agricultural Chemistry, Edaphology and Microbiology, Severo Ochoa (C6) building, Agrifood Campus of International Excellence CeiA3, University of Cordoba, Ctra. N-IV-A mm 396, 14014 Cordoba, Spain.
| | - Jaime Moreno-García
- Department of Agricultural Chemistry, Edaphology and Microbiology, Severo Ochoa (C6) building, Agrifood Campus of International Excellence CeiA3, University of Cordoba, Ctra. N-IV-A mm 396, 14014 Cordoba, Spain.
| | - Teresa García-Martínez
- Department of Agricultural Chemistry, Edaphology and Microbiology, Severo Ochoa (C6) building, Agrifood Campus of International Excellence CeiA3, University of Cordoba, Ctra. N-IV-A mm 396, 14014 Cordoba, Spain.
| | - Juan Moreno
- Department of Agricultural Chemistry, Edaphology and Microbiology, Severo Ochoa (C6) building, Agrifood Campus of International Excellence CeiA3, University of Cordoba, Ctra. N-IV-A mm 396, 14014 Cordoba, Spain.
| | - Juan Carlos Mauricio
- Department of Agricultural Chemistry, Edaphology and Microbiology, Severo Ochoa (C6) building, Agrifood Campus of International Excellence CeiA3, University of Cordoba, Ctra. N-IV-A mm 396, 14014 Cordoba, Spain.
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Abstract
Bioethanol is the largest biotechnology product and the most dominant biofuel globally. Saccharomyces cerevisiae is the most favored microorganism employed for its industrial production. However, obtaining maximum yields from an ethanol fermentation remains a technical challenge, since cellular stresses detrimentally impact on the efficiency of yeast cell growth and metabolism. Ethanol fermentation stresses potentially include osmotic, chaotropic, oxidative, and heat stress, as well as shifts in pH. Well-developed stress responses and tolerance mechanisms make S. cerevisiae industrious, with bioprocessing techniques also being deployed at industrial scale for the optimization of fermentation parameters and the effective management of inhibition issues. Overlap exists between yeast responses to different forms of stress. This review outlines yeast fermentation stresses and known mechanisms conferring stress tolerance, with their further elucidation and improvement possessing the potential to improve fermentation efficiency.
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Ke T, Liu J, Zhao S, Wang X, Wang L, Li Y, Lu Y, Hui F. Using Global Transcription Machinery Engineering (GTME) and Site-Saturation Mutagenesis Technique to Improve Ethanol Yield of Saccharomyces cerevisiae. APPL BIOCHEM MICRO+ 2020. [DOI: 10.1134/s0003683820050087] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Saini P, Beniwal A, Kokkiligadda A, Vij S. Response and tolerance of yeast to changing environmental stress during ethanol fermentation. Process Biochem 2018. [DOI: 10.1016/j.procbio.2018.07.001] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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El-Rotail AAMM, Zhang L, Li Y, Liu SP, Shi GY. A novel constructed SPT15 mutagenesis library of Saccharomyces cerevisiae by using gTME technique for enhanced ethanol production. AMB Express 2017; 7:111. [PMID: 28582970 PMCID: PMC5457369 DOI: 10.1186/s13568-017-0400-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Accepted: 05/04/2017] [Indexed: 01/15/2023] Open
Abstract
During the last few years, the global transcription machinery engineering (gTME) technique has gained more attention as an effective approach for the construction of novel mutants. Genetic strategies (molecular biology methods) were utilized to get mutational for both genes (SPT15 and TAF23) basically existed in the Saccharomyces cerevisiae genome via screening the gTME approach in order to obtain a new mutant S. cerevisiae diploid strain. The vector pYX212 was utilized to transform these genes into the control diploid strain S. cerevisiae through the process of mating between haploids control strains S. cerevisiae (MAT-a [CICC 1374]) and (MAT-α [CICC 31144]), by using the oligonucleotide primers SPT15-EcoRI-FW/SPT15-SalI-RV and TAF23-SalI-FW/TAF23-NheI-RV, respectively. The resultant mutants were examined for a series of stability tests. This study showed how strong the effect of using strategic gTME with the importance of the modification we conducted in Error Prone PCR protocol by increasing MnCl2 concentration instead of MgCl2. More than ninety mutants we obtained in this study were distinguished by a high level production of bio-ethanol as compared to the diploid control strain.
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Affiliation(s)
- Ashraf A. M. M. El-Rotail
- The Key Laboratory of Industrial Biotechnology, Ministry of Education, National Engineering Laboratory for Cereal Fermentation Technology, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122 Jiangsu China
- Faculty of Environmental Agricultural Science, El Arish University, El Arish, North Sinai 45526 Egypt
| | - Liang Zhang
- The Key Laboratory of Industrial Biotechnology, Ministry of Education, National Engineering Laboratory for Cereal Fermentation Technology, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122 Jiangsu China
| | - Youran Li
- The Key Laboratory of Industrial Biotechnology, Ministry of Education, National Engineering Laboratory for Cereal Fermentation Technology, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122 Jiangsu China
| | - Shuang Ping Liu
- The Key Laboratory of Industrial Biotechnology, Ministry of Education, National Engineering Laboratory for Cereal Fermentation Technology, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122 Jiangsu China
| | - Gui Yang Shi
- The Key Laboratory of Industrial Biotechnology, Ministry of Education, National Engineering Laboratory for Cereal Fermentation Technology, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122 Jiangsu China
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Kasavi C, Eraslan S, Oner ET, Kirdar B. An integrative analysis of transcriptomic response of ethanol tolerant strains to ethanol in Saccharomyces cerevisiae. MOLECULAR BIOSYSTEMS 2016; 12:464-76. [PMID: 26661334 DOI: 10.1039/c5mb00622h] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
The accumulation of ethanol is one of the main environmental stresses that Saccharomyces cerevisiae cells are exposed to in industrial alcoholic beverage and bioethanol production processes. Despite the known impacts of ethanol, the molecular mechanisms underlying ethanol tolerance are still not fully understood. Novel gene targets leading to ethanol tolerance were previously identified via a network approach and the investigations of the deletions of these genes resulted in the improved ethanol tolerance of pmt7Δ/pmt7Δ and yhl042wΔ/yhl042wΔ strains. In the present study, an integrative system based approach was used to investigate the global transcriptional changes in these two ethanol tolerant strains in response to ethanol and hence to elucidate the mechanisms leading to the observed tolerant phenotypes. In addition to strain specific biological processes, a number of common and already reported biological processes were found to be affected in the reference and both ethanol tolerant strains. However, the integrative analysis of the transcriptome with the transcriptional regulatory network and the ethanol tolerance network revealed that each ethanol tolerant strain had a specific organization of the transcriptomic response. Transcription factors around which most important changes occur were determined and active subnetworks in response to ethanol and functional clusters were identified in all strains.
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Affiliation(s)
- Ceyda Kasavi
- Department of Chemical Engineering, Boğaziçi University, Istanbul, Turkey.
| | - Serpil Eraslan
- Department of Chemical Engineering, Boğaziçi University, Istanbul, Turkey.
| | - Ebru Toksoy Oner
- Department of Bioengineering, Marmara University, Istanbul, Turkey
| | - Betul Kirdar
- Department of Chemical Engineering, Boğaziçi University, Istanbul, Turkey.
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Brion C, Pflieger D, Souali-Crespo S, Friedrich A, Schacherer J. Differences in environmental stress response among yeasts is consistent with species-specific lifestyles. Mol Biol Cell 2016; 27:1694-705. [PMID: 27009200 PMCID: PMC4865325 DOI: 10.1091/mbc.e15-12-0816] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Accepted: 03/15/2016] [Indexed: 12/19/2022] Open
Abstract
Defining how organisms respond to environmental change has always been an important step toward understanding their adaptive capacity and physiology. Variation in transcription during stress has been widely described in model species, especially in the yeast Saccharomyces cerevisiae, which helped to shape general rules regarding how cells cope with environmental constraints, as well as to decipher the functions of many genes. Comparison of the environmental stress response (ESR) across species is essential to obtaining better insight into the common and species-specific features of stress defense. In this context, we explored the transcriptional landscape of the yeast Lachancea kluyveri (formerly Saccharomyces kluyveri) in response to diverse stresses, using RNA sequencing. We investigated variation in gene expression and observed a link between genetic plasticity and environmental sensitivity. We identified the ESR genes in this species and compared them to those already found in S. cerevisiae We observed common features between the two species, as well as divergence in the regulatory networks involved. Of interest, some changes were related to differences in species lifestyle. Thus we were able to decipher how adaptation to stress has evolved among different yeast species. Finally, by analyzing patterns of coexpression, we were able to propose potential biological functions for 42% of genes and also annotate 301 genes for which no function could be assigned by homology. This large data set allowed for the characterization of the evolution of gene regulation and provides an efficient tool for assessing gene function.
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Affiliation(s)
- Christian Brion
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, CNRS, UMR7156, Strasbourg 67083, France
| | - David Pflieger
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, CNRS, UMR7156, Strasbourg 67083, France
| | - Sirine Souali-Crespo
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, CNRS, UMR7156, Strasbourg 67083, France
| | - Anne Friedrich
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, CNRS, UMR7156, Strasbourg 67083, France
| | - Joseph Schacherer
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, CNRS, UMR7156, Strasbourg 67083, France
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Tan F, Wu B, Dai L, Qin H, Shui Z, Wang J, Zhu Q, Hu G, He M. Using global transcription machinery engineering (gTME) to improve ethanol tolerance of Zymomonas mobilis. Microb Cell Fact 2016; 15:4. [PMID: 26758018 PMCID: PMC4711062 DOI: 10.1186/s12934-015-0398-y] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Accepted: 12/15/2015] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND With the increasing global crude oil crisis and resulting environmental concerns, the production of biofuels from renewable resources has become increasingly important. One of the major challenges faced during the process of biofuel production is the low tolerance of the microbial host towards increasing biofuel concentrations. RESULTS Here, we demonstrate that the ethanol tolerance of Zymomonas mobilis can be greatly enhanced through the random mutagenesis of global transcription factor RpoD protein, (σ(70)). Using an enrichment screening, four mutants with elevated ethanol tolerance were isolated from error-prone PCR libraries. All mutants showed significant growth improvement in the presence of ethanol stress when compared to the control strain. After an ethanol (9 %) stress exposure lasting 22 h, the rate of glucose consumption was approximately 1.77, 1.78 and 1.39 g L(-1) h(-1) in the best ethanol-tolerant strain ZM4-mrpoD4, its rebuilt mutant strain ZM4-imrpoD and the control strain, respectively. Our results indicated that both ZM4-mrpoD4 and ZM4-imrpoD consumed glucose at a faster rate after the initial 9 % (v/v) ethanol stress, as nearly 0.64 % of the initial glucose remained after 54 h incubation versus approximately 5.43 % for the control strain. At 9 % ethanol stress, the net ethanol productions by ZM4-mrpoD4 and ZM4-imrpoD during the 30-54 h were 13.0-14.1 g/l versus only 6.6-7.7 g/l for the control strain. The pyruvate decarboxylase activity of ZM4-mrpoD4 was 62.23 and 68.42 U/g at 24 and 48 h, respectively, which were 2.6 and 1.6 times higher than the control strain. After 24 and 48 h of 9 % ethanol stress, the alcohol dehydrogenase activities of ZM4-mrpoD4 were also augmented, showing an approximate 1.4 and 1.3 times increase, respectively, when compared to the control strain. Subsequent quantitative real-time PCR analysis under these stress conditions revealed that the relative expression of pdc in cultured (6 and 24 h) ZM4-mrpoD4 increased by 9.0- and 12.7-fold when compared to control strain. CONCLUSIONS Collectively, these results demonstrate that the RpoD mutation can enhance ethanol tolerance in Z. mobilis. Our results also suggested that RpoD may play an important role in resisting high ethanol concentration in Z. mobilis and manipulating RpoD via global transcription machinery engineering (gTME) can provide an alternative and useful approach for strain improvement for complex phenotypes.
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Affiliation(s)
- Furong Tan
- Biogas Institute of Ministry of Agriculture, Biomass Energy Technology Research Centre, Section 4-13, Renmin Nanlu, Chengdu, 610041, China.
| | - Bo Wu
- Biogas Institute of Ministry of Agriculture, Biomass Energy Technology Research Centre, Section 4-13, Renmin Nanlu, Chengdu, 610041, China.
| | - Lichun Dai
- Biogas Institute of Ministry of Agriculture, Biomass Energy Technology Research Centre, Section 4-13, Renmin Nanlu, Chengdu, 610041, China.
| | - Han Qin
- Biogas Institute of Ministry of Agriculture, Biomass Energy Technology Research Centre, Section 4-13, Renmin Nanlu, Chengdu, 610041, China.
| | - Zongxia Shui
- Biogas Institute of Ministry of Agriculture, Biomass Energy Technology Research Centre, Section 4-13, Renmin Nanlu, Chengdu, 610041, China.
| | - Jingli Wang
- Biogas Institute of Ministry of Agriculture, Biomass Energy Technology Research Centre, Section 4-13, Renmin Nanlu, Chengdu, 610041, China.
| | - Qili Zhu
- Biogas Institute of Ministry of Agriculture, Biomass Energy Technology Research Centre, Section 4-13, Renmin Nanlu, Chengdu, 610041, China.
| | - Guoquan Hu
- Biogas Institute of Ministry of Agriculture, Biomass Energy Technology Research Centre, Section 4-13, Renmin Nanlu, Chengdu, 610041, China.
- Key Laboratory of Development and Application of Rural Renewable Energy, Ministry of Agriculture, Chengdu, 610041, China.
| | - Mingxiong He
- Biogas Institute of Ministry of Agriculture, Biomass Energy Technology Research Centre, Section 4-13, Renmin Nanlu, Chengdu, 610041, China.
- Key Laboratory of Development and Application of Rural Renewable Energy, Ministry of Agriculture, Chengdu, 610041, China.
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Advances in proteomics for production strain analysis. Curr Opin Biotechnol 2015; 35:111-7. [DOI: 10.1016/j.copbio.2015.05.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2015] [Revised: 04/28/2015] [Accepted: 05/12/2015] [Indexed: 11/22/2022]
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12
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Advancing metabolic engineering through systems biology of industrial microorganisms. Curr Opin Biotechnol 2015; 36:8-15. [PMID: 26318074 DOI: 10.1016/j.copbio.2015.08.006] [Citation(s) in RCA: 78] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2015] [Revised: 08/06/2015] [Accepted: 08/09/2015] [Indexed: 11/21/2022]
Abstract
Development of sustainable processes to produce bio-based compounds is necessary due to the severe environmental problems caused by the use of fossil resources. Metabolic engineering can facilitate the development of highly efficient cell factories to produce these compounds from renewable resources. The objective of systems biology is to gain a comprehensive and quantitative understanding of living cells and can hereby enhance our ability to characterize and predict cellular behavior. Systems biology of industrial microorganisms is therefore valuable for metabolic engineering. Here we review the application of systems biology tools for the identification of metabolic engineering targets which may lead to reduced development time for efficient cell factories. Finally, we present some perspectives of systems biology for advancing metabolic engineering further.
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