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Mehta K, Jaiswal D, Nayak M, Prasannan CB, Wangikar PP, Srivastava S. Elevated carbon dioxide levels lead to proteome-wide alterations for optimal growth of a fast-growing cyanobacterium, Synechococcus elongatus PCC 11801. Sci Rep 2019; 9:6257. [PMID: 31000743 PMCID: PMC6472392 DOI: 10.1038/s41598-019-42576-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Accepted: 03/29/2019] [Indexed: 12/21/2022] Open
Abstract
The environmental considerations attributing to the escalation of carbon dioxide emissions have raised alarmingly. Consequently, the concept of sequestration and biological conversion of CO2 by photosynthetic microorganisms is gaining enormous recognition. In this study, in an attempt to discern the synergistic CO2 tolerance mechanisms, metabolic responses to increasing CO2 concentrations were determined for Synechococcus elongatus PCC 11801, a fast-growing, novel freshwater strain, using quantitative proteomics. The protein expression data revealed that the organism responded to elevated CO2 by not only regulating the cellular transporters involved in carbon-nitrogen uptake and assimilation but also by inducing photosynthesis, carbon fixation and glycolysis. Several components of photosynthetic machinery like photosystem reaction centers, phycobilisomes, cytochromes, etc. showed a marked up-regulation with a concomitant downshift in proteins involved in photoprotection and redox maintenance. Additionally, enzymes belonging to the TCA cycle and oxidative pentose phosphate pathway exhibited a decline in their expression, further highlighting that the demand for reduced cofactors was fulfilled primarily through photosynthesis. The present study brings the first-ever comprehensive assessment of intricate molecular changes in this novel strain while shifting from carbon-limited to carbon-sufficient conditions and may pave the path for future host and pathway engineering for production of sustainable fuels through efficient CO2 capture.
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Affiliation(s)
- Kanika Mehta
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India
| | - Damini Jaiswal
- Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India
| | - Monalisha Nayak
- Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India
| | - Charulata B Prasannan
- Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India.,DBT-Pan IIT Center for Bioenergy, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India
| | - Pramod P Wangikar
- Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India.,DBT-Pan IIT Center for Bioenergy, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India.,Wadhwani Research Center for Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India
| | - Sanjeeva Srivastava
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India. .,DBT-Pan IIT Center for Bioenergy, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India. .,Wadhwani Research Center for Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India.
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Zhu H, Ren X, Wang J, Song Z, Shi M, Qiao J, Tian X, Liu J, Chen L, Zhang W. Integrated OMICS guided engineering of biofuel butanol-tolerance in photosynthetic Synechocystis sp. PCC 6803. BIOTECHNOLOGY FOR BIOFUELS 2013; 6:106. [PMID: 23883549 PMCID: PMC3726282 DOI: 10.1186/1754-6834-6-106] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2013] [Accepted: 07/23/2013] [Indexed: 05/03/2023]
Abstract
BACKGROUND Photosynthetic cyanobacteria have been recently proposed as a 'microbial factory' to produce butanol due to their capability to utilize solar energy and CO2 as the sole energy and carbon sources, respectively. However, to improve the productivity, one key issue needed to be addressed is the low tolerance of the photosynthetic hosts to butanol. RESULTS In this study, we first applied a quantitative transcriptomics approach with a next-generation RNA sequencing technology to identify gene targets relevant to butanol tolerance in a model cyanobacterium Synechocystis sp. PCC 6803. The results showed that 278 genes were induced by the butanol exposure at all three sampling points through the growth time course. Genes encoding heat-shock proteins, oxidative stress related proteins, transporters and proteins involved in common stress responses, were induced by butanol exposure. We then applied GC-MS based metabolomics analysis to determine the metabolic changes associated with the butanol exposure. The results showed that 46 out of 73 chemically classified metabolites were differentially regulated by butanol treatment. Notably, 3-phosphoglycerate, glycine, serine and urea related to general stress responses were elevated in butanol-treated cells. To validate the potential targets, we constructed gene knockout mutants for three selected gene targets. The comparative phenotypic analysis confirmed that these genes were involved in the butanol tolerance. CONCLUSION The integrated OMICS analysis provided a comprehensive view of the complicated molecular mechanisms employed by Synechocystis sp. PCC 6803 against butanol stress, and allowed identification of a series of potential gene candidates for tolerance engineering in cyanobacterium Synechocystis sp. PCC 6803.
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Affiliation(s)
- Hongji Zhu
- Laboratory of Synthetic Microbiology, School of Chemical Engineering & Technology, Tianjin University, Tianjin 300072, P.R. China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin 300072, P.R. China
| | - Xiaoyue Ren
- Laboratory of Synthetic Microbiology, School of Chemical Engineering & Technology, Tianjin University, Tianjin 300072, P.R. China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin 300072, P.R. China
| | - Jiangxin Wang
- Laboratory of Synthetic Microbiology, School of Chemical Engineering & Technology, Tianjin University, Tianjin 300072, P.R. China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin 300072, P.R. China
| | - Zhongdi Song
- Laboratory of Synthetic Microbiology, School of Chemical Engineering & Technology, Tianjin University, Tianjin 300072, P.R. China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin 300072, P.R. China
| | - Mengliang Shi
- Laboratory of Synthetic Microbiology, School of Chemical Engineering & Technology, Tianjin University, Tianjin 300072, P.R. China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin 300072, P.R. China
| | - Jianjun Qiao
- Laboratory of Synthetic Microbiology, School of Chemical Engineering & Technology, Tianjin University, Tianjin 300072, P.R. China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin 300072, P.R. China
| | - Xiaoxu Tian
- Laboratory of Synthetic Microbiology, School of Chemical Engineering & Technology, Tianjin University, Tianjin 300072, P.R. China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin 300072, P.R. China
| | - Jie Liu
- Laboratory of Synthetic Microbiology, School of Chemical Engineering & Technology, Tianjin University, Tianjin 300072, P.R. China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin 300072, P.R. China
| | - Lei Chen
- Laboratory of Synthetic Microbiology, School of Chemical Engineering & Technology, Tianjin University, Tianjin 300072, P.R. China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin 300072, P.R. China
| | - Weiwen Zhang
- Laboratory of Synthetic Microbiology, School of Chemical Engineering & Technology, Tianjin University, Tianjin 300072, P.R. China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin 300072, P.R. China
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Ye CG, Yeung JHK, Huang GL, Cui P, Wang J, Zou Y, Zhang XN, He ZW, Cho CH. Increased glutathione and mitogen-activated protein kinase phosphorylation are involved in the induction of doxorubicin resistance in hepatocellular carcinoma cells. Hepatol Res 2013; 43:289-299. [PMID: 22882382 DOI: 10.1111/j.1872-034x.2012.01067.x] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
AIM The human hepatocellular carcinoma (HCC) cell line HepG2 can easily acquire resistance to doxorubicin. However, the mechanism of action is unclear. METHODS In the present study, we used confocal microscopy, flow cytometry and other methods to reveal the mechanisms by which HepG2 cells acquire doxorubicin resistance. RESULTS Our results showed that R-HepG2 cells, a doxorubicin-resistant sub-line of HepG2, exhibited decreased intracellular accumulation of doxorubicin and increased expression of P-glycoprotein (P-gp) and multidrug resistance-associated protein 1 when compared with HepG2 cells. R-HepG2 cells also harbored higher levels of glutathione and increased expression of glutathione peroxidase. Furthermore, we demonstrated that the phosphorylation of mitogen-activated protein kinases (p38 and c-jun-N-terminal kinases), IkBα and CREB were increased in R-HepG2 cells. Specific p38 inhibitor SB203580 decreased P-gp expression. The multi-kinase inhibitor sorafenib tosylate also significantly suppressed the phosphorylation of these proteins and inhibited the expression of P-gp. CONCLUSION These findings reveal that the drug resistance could be acquired through mitogen-activated protein kinase-dependent upregulation of P-gp. This mechanism protects R-HepG2 cells from the anticancer action of doxorubicin.
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Affiliation(s)
- Cai-Guo Ye
- Sino-America Cancer Research Institute, The Guangdong Medical College, Guangdong School of Biomedical Sciences Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China
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Wang J, Chen L, Huang S, Liu J, Ren X, Tian X, Qiao J, Zhang W. RNA-seq based identification and mutant validation of gene targets related to ethanol resistance in cyanobacterial Synechocystis sp. PCC 6803. BIOTECHNOLOGY FOR BIOFUELS 2012; 5:89. [PMID: 23259593 PMCID: PMC3564720 DOI: 10.1186/1754-6834-5-89] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2012] [Accepted: 12/04/2012] [Indexed: 05/03/2023]
Abstract
BACKGROUND Fermentation production of biofuel ethanol consumes agricultural crops, which will compete directly with the food supply. As an alternative, photosynthetic cyanobacteria have been proposed as microbial factories to produce ethanol directly from solar energy and CO2. However, the ethanol productivity from photoautotrophic cyanobacteria is still very low, mostly due to the low tolerance of cyanobacterial systems to ethanol stress. RESULTS To build a foundation necessary to engineer robust ethanol-producing cyanobacterial hosts, in this study we applied a quantitative transcriptomics approach with a next-generation sequencing technology, combined with quantitative reverse-transcript PCR (RT-PCR) analysis, to reveal the global metabolic responses to ethanol in model cyanobacterial Synechocystis sp. PCC 6803. The results showed that ethanol exposure induced genes involved in common stress responses, transporting and cell envelope modification. In addition, the cells can also utilize enhanced polyhydroxyalkanoates (PHA) accumulation and glyoxalase detoxication pathway as means against ethanol stress. The up-regulation of photosynthesis by ethanol was also further confirmed at transcriptional level. Finally, we used gene knockout strains to validate the potential target genes related to ethanol tolerance. CONCLUSION RNA-Seq based global transcriptomic analysis provided a comprehensive view of cellular response to ethanol exposure. The analysis provided a list of gene targets for engineering ethanol tolerance in cyanobacterium Synechocystis.
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Affiliation(s)
- Jiangxin Wang
- School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300072, People's Republic of China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin, 300072, People's Republic of China
| | - Lei Chen
- School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300072, People's Republic of China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin, 300072, People's Republic of China
| | - Siqiang Huang
- School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300072, People's Republic of China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin, 300072, People's Republic of China
| | - Jie Liu
- School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300072, People's Republic of China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin, 300072, People's Republic of China
| | - Xiaoyue Ren
- School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300072, People's Republic of China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin, 300072, People's Republic of China
| | - Xiaoxu Tian
- School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300072, People's Republic of China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin, 300072, People's Republic of China
| | - Jianjun Qiao
- School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300072, People's Republic of China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin, 300072, People's Republic of China
| | - Weiwen Zhang
- School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300072, People's Republic of China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin, 300072, People's Republic of China
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Qiao J, Wang J, Chen L, Tian X, Huang S, Ren X, Zhang W. Quantitative iTRAQ LC-MS/MS proteomics reveals metabolic responses to biofuel ethanol in cyanobacterial Synechocystis sp. PCC 6803. J Proteome Res 2012; 11:5286-300. [PMID: 23062023 DOI: 10.1021/pr300504w] [Citation(s) in RCA: 104] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Recent progress in metabolic engineering has led to autotrophic production of ethanol in various cyanobacterial hosts. However, cyanobacteria are known to be sensitive to ethanol, which restricts further efforts to increase ethanol production levels in these renewable host systems. To understand the mechanisms of ethanol tolerance so that engineering more robust cyanobacterial hosts can be possible, in this study, the responses of model cyanobacterial Synechocystis sp. PCC 6803 to ethanol were determined using a quantitative proteomics approach with iTRAQ LC-MS/MS technologies. The resulting high-quality proteomic data set consisted of 24,887 unique peptides corresponding to 1509 identified proteins, a coverage of approximately 42% of the predicted proteins in the Synechocystis genome. Using a cutoff of 1.5-fold change and a p-value less than 0.05, 135 and 293 unique proteins with differential abundance levels were identified between control and ethanol-treated samples at 24 and 48 h, respectively. Functional analysis showed that the Synechocystis cells employed a combination of induced common stress response, modifications of cell membrane and envelope, and induction of multiple transporters and cell mobility-related proteins as protection mechanisms against ethanol toxicity. Interestingly, our proteomic analysis revealed that proteins related to multiple aspects of photosynthesis were up-regulated in the ethanol-treated Synechocystis cells, consistent with increased chlorophyll a concentration in the cells upon ethanol exposure. The study provided the first comprehensive view of the complicated molecular mechanisms against ethanol stress and also provided a list of potential gene targets for further engineering ethanol tolerance in Synechocystis PCC 6803.
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Affiliation(s)
- Jianjun Qiao
- School of Chemical Engineering & Technology, Tianjin University, Tianjin 300072, P.R. China
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Bagchi SN, Das PK, Banerjee S, Saggu M, Bagchi D. A bentazone-resistant mutant of cyanobacterium, Synechococcus elongatus PCC7942 adapts different strategies to counteract on bromoxynil- and salt-mediated oxidative stress. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2012; 18:115-23. [PMID: 23573048 PMCID: PMC3550500 DOI: 10.1007/s12298-012-0111-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
A bentazone-resistant mutant of Synechococcus elongatus PCC7942, called Mu2, tolerated elevated NaCl concentrations. As bentazone and bromoxynil exhibit similar mechanism of action, we investigated whether the mutant also toleratedbromoxynil and found it to be true. The line of investigation was then whether the acclimation strategy for the three stressors, bentazone, bromoxynil and NaCl was same or different. The cellular contents of malondialdehyde, hydrogen peroxide and superoxide increased in wild type strain following all the treatments suggesting their toxicities due to oxidative response. Notwithstanding, there were apparently different anti-oxidative measures pertaining to the herbicide and salinity stress. Glutathione contents and activities of superoxide dismutase, catalase-peroxidase, glutathione S-transferase and glutathione reductase decreased under NaCl, whereas bromoxynil affected only glutathione S-transferase reductase. Moreover, in-gel assays revealed that bromoxynil promoted appearance of isozymes of catalase-peroxidase, while NaCl induced such response only for superoxide dismutase. On the other hand, in Mu2, glutathione peroxidase-reductase and glutathione showed upward trend after bromoxynil exposure, whereas NaCl raised peroxidase and superoxide dismutase. Proteome comparison revealed peroxiredoxin Q to be highly expressed in wild type strain under bromoxynil, whereas NaCl favoured flavodoxin over-expression. Their amounts were already high in Mu2. We suggest that Mu2 acclimatized to bromoxynil in a manner similar to bentazone by upgrading peroxiredoxin Q and glutathione peroxidase-reductase. Conversely, for NaCl it devised another mechanism involving peroxidase and superoxide dismutase, and flavodoxin.
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Affiliation(s)
- Suvendra Nath Bagchi
- Department of Biological Sciences, Rani Durgavati University, Jabalpur, 482001 India
| | - Palash Kumar Das
- Department of Biological Sciences, Rani Durgavati University, Jabalpur, 482001 India
| | - Sonali Banerjee
- Department of Biological Sciences, Rani Durgavati University, Jabalpur, 482001 India
| | - Mona Saggu
- Department of Biological Sciences, Rani Durgavati University, Jabalpur, 482001 India
| | - Divya Bagchi
- Department of Biological Sciences, Rani Durgavati University, Jabalpur, 482001 India
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