[en] The dynamics of microbial stress response in intensive cultivation conditions remains not completely understood. In this work, two green fluorescent protein (GFP) transcriptional reporters have been used as biosensors of the heterogeneities generated in a two-compartment scale-down reactor. The stress promoters have been chosen for their responsiveness to carbon limitation corresponding to the global substrate profiles encountered in intensive fed-batch cultures. From our results, it can be concluded that the exposure of microbial cells to substrates heterogeneities tends to decrease the GFP expression level in fed-batch mode. Fluorescence intensities have been monitored at the single cell level by using flow cytometry. During the course of the fed-batch culture, a drop at the level of the intracellular GFP content has been observed for the two scale-down operating conditions and for the two promoters sensitive to substrate limitation (rpoS and csiE). The fluorescence drop can be attributed to the repression of these promoters but also to the release of GFP to the extracellular medium according to the increase of the fluorescence level of the supernatant. This leakage has been observed for all the operating conditions, i.e. the scale-down reactors and the culture operating in the normal mode, i.e. in a well-mixed bioreactor. Interestingly, GFP leakage is more pronounced in the case of the cultures operated in the normal mode. Indeed, staining by propidium iodide tends to be more elevated for the microbial cells cultured under the normal mode by comparison with those cultured in scale-down conditions, indicating a higher permeability of the membrane. These results suggest that GFP microbial biosensors could be used to detect simultaneously mixing imperfections and their impact on the viability of microorganisms.
Disciplines :
Biotechnology
Author, co-author :
Delvigne, Frank ✱; Université de Liège - ULiège > Chimie et bio-industries > Bio-industries
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Bibliography
Neubauer P., Junne S. Scale-down simulators for metabolic analysis of large-scale bioprocesses. Current Opinion in Biotechnology 2010, 21:114-121.
Enfors S.O., Jahic M., Rozkov A., Xu B., Hecker M., Jürgen B., Krüger E., Schweder T., Hamer G., O'Beirne D., Noisommit-Rizzi N., Reuss M., Boone L., Hewitt C., McFarlane C., Nienow A., Kovacs T., Trägardh C., Fuchs L., Revstedt J., Friberg P.C., Hjertager B., Blomsten G., Skogman H., Hjort S., Hoeks F., Lin H.Y., Neubauer P., van der Lans R., Luyben K., Vrabel P., Manelius A. Physiological responses to mixing in large scale bioreactors. Journal of Biotechnology 2001, 85:175-185.
Lee J., Lee S.Y., Park S., Middelberg A.P.J. Control of fed-batch fermentations. Biotechnology Advances 1999, 17:29-48.
Hewitt C.J., Nienow A.W. The scale-up of microbial batch and fed-batch fermentation processes. Advances in Applied Microbiology 2007, 62:105-135.
Delvigne F., Boxus M., Ingels S., Thonart P. Bioreactor mixing efficiency modulates the activity of a prpoS::GFP reporter gene in E. coli. Microbial Cell Factories 2009, 8:15.
Delvigne F., Ingels S., Thonart P. Evaluation of a set of E. coli reporter strains as physiological tracer for estimating bioreactor hydrodynamic efficiency. Process Biochemistry 2010, 45(11):1769-1778.
Mandel M.J., Silhavy T.J. Starvation for different nutrients in Escherichia coli results in differential modulation of RpoS level and stability. Journal of Bacteriology 2005, 187(2):434-442.
Notley-McRobb L., King T., Ferenci T. rpoS mutations and loss of general stress resistance in Escherichia coli populations as a consequence of conflict between competing stress responses. Journal of Bacteriology 2002, 184(3):806-811.
Hengge-Aronis R. Recent insigths into the general stress response regulatory network in E. coli. Journal of Molecular Biology and Biotechnology 2002, 4(3):341-346.
Storz G., Hengge-Aronis E. Bacterial Stress Response 2000, American Society for Microbiology.
Ma H.W., Buer J., Zeng A.P. Hierarchical structure and modules in the Escherichia coli transcriptional regulatory network revealed by a new top-down approach. BMC Bioinformatics 2004, 5:199.
Marschall C., Hengge-Aronis R. Regulatory characteristics and pormoter analysis of csiE, a stationary phase-inducible gene under the control of sigma S and the cAMP-CRP complex in Escherichia coli. Molecular Microbiology 1995, 18(1):175-184.
Zhang Q., Andersen M.E., Conolly R.B. Binary gene induction and protein expression in individual cells. Theoretical Biology and Medical Modelling 2006, 3:18.
Zaslaver A., Bren A., Ronen M., Itzkovitz S., Kikoin I., Shavit S., Liebermeister W., Surette M.G., Alon U. A comprehensive library of fluorescent transcriptional reporters for Escherichia coli. Nature Methods 2006, 3(8):623-628.
Lara A.R., Galindo E., Ramirez O.T., Palomares L.A. Living with heterogeneities in bioreactors - understanding the effects of environmental gradients on cells. Molecular Biotechnology 2006, 34:355-381.
Delvigne F., Destain J., Thonart P. A methodology for the design of scale-down bioreactors by the use of mixing and circulation stochastic models. Biochemical Engineering Journal 2006, 28(3):256-268.
John G.T., Klimant I., Wittmann C., Heinzle E. Integrated optical sensing of dissolved oxygen in microtiter plates: a novel tool for microbial cultivation. Biotechnology and Bioengineering 2003, 81(7):830-836.
Cormack B.P., Valdivia R.H., Falkow R. FACS-optimized mutants of the green fluorescent protein (GFP). Gene 1996, 173:33-38.
Galbraith D.W., Anderson M.T., Herzenberg L.A. Flow cytometry analysis and FACS sorting of cells based on GFP accumulation. Methods in Cell Biology 1999, 58:315-341.
Asraf-Snir M., Gitis V. Tracer studies involving fluorescent-dyed microorganisms - a new method for determination of residence time in chlorination reactors. Chemical Engineering Journal 2011, 166:579-585.
Delvigne F., Lejeune A., Destain J., Thonart P. Stochastic models to study the impact of mixing on a fed-batch culture of Saccharomyces cerevisiae. Biotechnology Progress 2006, 22:259-269.
Moe D., GArbasch C., Kirkeby S. The protein effect on determination of DNA with Heochst 33258. Journal of Biochemical and Biophysical Methods 1994, 28:263-276.
Tsien R.Y. The green fluorescent protein. Annual Review in Biochemistry 1998, 67:509-544.
Müller S., Harms H., Bley T. Origin and analysis of microbial population heterogeneity in bioprocesses. Current Opinion in Biotechnology 2010, 21:100-113.
Pugsley A.P. The complete general secretory pathway in Gram-negative bacteria. Microbiological Reviews 1993, 57(1):50-108.
Liu S., Bugos R.C., Dharmasiri N., Su W.W. Green fluorescent protein as a secretory reporter and a tool for process optimization in transgenic plant cell cultures. Journal of Biotechnology 2001, 87:1-16.
Lowder M., Unge A., Maraha N., Jansson J.K., Swiggett J., Oliver J.D. Effect of starvation and the viable but nonculturable state on green fluorescent protein (GFP) fluorescence in GFP-tagged pseudomonas fluorescens A506. Applied and Environmental Microbiology 2000, 66(8):3160-3165.
Klotz B., Manas P., Mackey B.M. The relationship between membrane damage, release of protein and loss of viability in Escherichia coli exposed to high hydrostatic pressure. International Journal of Food Microbiology 2010, 137:214-220.
Liu X., Ferenci T. Regulation of porin-mediated outer membrane permeability by nutrient limitation in Escherichia coli. Journal of Bacteriology 1998, 180(15):3917-3922.
Shokri A., Sanden A.M., Larsson G. Growth rate dependent changes in Escherichia coli membrane structure and protein leakage. Applied Microbiology and Biotechnology 2002, 58:386-392.
Fischer A.C., DeLisa M.P. Laboratory evolution of fast-folding green fluorescent protein using secretory pathway quality control. PLoS One 2008, 3(6):e2351.
Xia X.X., Han M.J., Lee S.Y., Yoo J.S. Comparison of the extracellular proteomes of Eschercihia coli B and K-12 strains during high cell density cultivation. Proteomics 2008, 8:2089-2103.
Castan A., Heidrich J., Enfors S.O. The use of flow cytometry to detect nucleic acids attached to the surface of Escherichia coli in high cell density fed-batch processes. Biotechnology Letters 2002, 24:219-224.
Hewitt C.J., Nebe-Von Caron G., Axelsson B., Mc Farlane C.M., Nienow A.W. Studies related to the scale-up of high-cell-density E. coli fed-batch fermentations using multiparameter flow cytometry: effect of a changing microenvironment with respect to glucose and dissolved oxygen concentration. Biotechnology and Bioengineering 2000, 70(4):381-390.
Hewitt C.J., Nebe-Von Caron G., Nienow A.W., Mc Farlane C.M. The use of multi-parameter flow cytomerty to compare the physiological response of Escerichia coli W3110 to glucose limitation during batch, fed-batch and continuous culture cultivations. Journal of Biotechnology 1999, 75:251-264.
Berney M, Weilenmann H.U., Ihssen J., Bassin C., Egli T. Specific growth rate determines the sensitivity of Escherichia coli to thermal, UV and solar disinfection. Applied and Environmental Microbiology 2006, 72(4):2586-2593.
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