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      Integrated analysis of gene expression and metabolic fluxes in PHA-producing Pseudomonas putida grown on glycerol

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          Abstract

          Background

          Given its high surplus and low cost, glycerol has emerged as interesting carbon substrate for the synthesis of value-added chemicals. The soil bacterium Pseudomonas putida KT2440 can use glycerol to synthesize medium-chain-length poly(3-hydroxyalkanoates) (mcl-PHA), a class of biopolymers of industrial interest. Here, glycerol metabolism in P. putida KT2440 was studied on the level of gene expression (transcriptome) and metabolic fluxes (fluxome), using precisely adjusted chemostat cultures, growth kinetics and stoichiometry, to gain a systematic understanding of the underlying metabolic and regulatory network.

          Results

          Glycerol-grown P. putida KT2440 has a maintenance energy requirement [0.039 (mmol glycerol (g CDW h) −1)] that is about sixteen times lower than that of other bacteria, such as Escherichia coli, which provides a great advantage to use this substrate commercially. The shift from carbon (glycerol) to nitrogen (ammonium) limitation drives the modulation of specific genes involved in glycerol metabolism, transport electron chain, sensors to assess the energy level of the cell, and PHA synthesis, as well as changes in flux distribution to increase the precursor availability for PHA synthesis (Entner–Doudoroff pathway and pyruvate metabolism) and to reduce respiration (glyoxylate shunt). Under PHA-producing conditions (N-limitation), a higher PHA yield was achieved at low dilution rate (29.7 wt% of CDW) as compared to a high rate (12.8 wt% of CDW). By-product formation (succinate, malate) was specifically modulated under these regimes. On top of experimental data, elementary flux mode analysis revealed the metabolic potential of P. putida KT2440 to synthesize PHA and identified metabolic engineering targets towards improved production performance on glycerol.

          Conclusion

          This study revealed the complex interplay of gene expression levels and metabolic fluxes under PHA- and non-PHA producing conditions using the attractive raw material glycerol as carbon substrate. This knowledge will form the basis for the development of future metabolically engineered hyper-PHA-producing strains derived from the versatile bacterium P. putida KT2440.

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          Most cited references69

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          Variance stabilization applied to microarray data calibration and to the quantification of differential expression.

          We introduce a statistical model for microarray gene expression data that comprises data calibration, the quantification of differential expression, and the quantification of measurement error. In particular, we derive a transformation h for intensity measurements, and a difference statistic Deltah whose variance is approximately constant along the whole intensity range. This forms a basis for statistical inference from microarray data, and provides a rational data pre-processing strategy for multivariate analyses. For the transformation h, the parametric form h(x)=arsinh(a+bx) is derived from a model of the variance-versus-mean dependence for microarray intensity data, using the method of variance stabilizing transformations. For large intensities, h coincides with the logarithmic transformation, and Deltah with the log-ratio. The parameters of h together with those of the calibration between experiments are estimated with a robust variant of maximum-likelihood estimation. We demonstrate our approach on data sets from different experimental platforms, including two-colour cDNA arrays and a series of Affymetrix oligonucleotide arrays.
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            Complete genome sequence and comparative analysis of the metabolically versatile Pseudomonas putida KT2440.

            Pseudomonas putida is a metabolically versatile saprophytic soil bacterium that has been certified as a biosafety host for the cloning of foreign genes. The bacterium also has considerable potential for biotechnological applications. Sequence analysis of the 6.18 Mb genome of strain KT2440 reveals diverse transport and metabolic systems. Although there is a high level of genome conservation with the pathogenic Pseudomonad Pseudomonas aeruginosa (85% of the predicted coding regions are shared), key virulence factors including exotoxin A and type III secretion systems are absent. Analysis of the genome gives insight into the non-pathogenic nature of P. putida and points to potential new applications in agriculture, biocatalysis, bioremediation and bioplastic production.
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              A microbial polyhydroxyalkanoates (PHA) based bio- and materials industry.

              Biopolyesters polyhydroxyalkanoates (PHA) produced by many bacteria have been investigated by microbiologists, molecular biologists, biochemists, chemical engineers, chemists, polymer experts and medical researchers. PHA applications as bioplastics, fine chemicals, implant biomaterials, medicines and biofuels have been developed and are covered in this critical review. Companies have been established or involved in PHA related R&D as well as large scale production. Recently, bacterial PHA synthesis has been found to be useful for improving robustness of industrial microorganisms and regulating bacterial metabolism, leading to yield improvement on some fermentation products. In addition, amphiphilic proteins related to PHA synthesis including PhaP, PhaZ or PhaC have been found to be useful for achieving protein purification and even specific drug targeting. It has become clear that PHA and its related technologies are forming an industrial value chain ranging from fermentation, materials, energy to medical fields (142 references).
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                Author and article information

                Contributors
                veronique.beckers@basf.com
                ignacio.poblete@unab.cl
                juergen.tomasch@helmholtz-hzi.de
                +49-681-302-71970 , christoph.wittmann@uni-saarland.de
                Journal
                Microb Cell Fact
                Microb. Cell Fact
                Microbial Cell Factories
                BioMed Central (London )
                1475-2859
                3 May 2016
                3 May 2016
                2016
                : 15
                : 73
                Affiliations
                [ ]Institute of Systems Biotechnology, Saarland University, Campus A1.5, 66123 Saarbrücken, Germany
                [ ]Center for Bioinformatics and Integrative Biology, Biosystems Engineering Laboratory, Faculty of Biological Sciences, Universidad Andrés Bello, 8340176 Santiago, Chile
                [ ]Research Group Microbial Communication, Helmholtz Centre for Infection Research, Brunswick, Germany
                Article
                470
                10.1186/s12934-016-0470-2
                4855977
                27142075
                7dd00e9d-4315-459a-b55f-6202049bacfa
                © Beckers et al. 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 19 January 2016
                : 24 April 2016
                Funding
                Funded by: Convenio de Desempeño Apoyo a la Inovación en la Educación Superior
                Award ID: PMIUAB 1301
                Award Recipient :
                Funded by: Proyecto Interno UNAB
                Award ID: DI-706-15/R
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100002347, Bundesministerium für Bildung und Forschung;
                Award ID: VIP 03V0757
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Biotechnology
                pseudomonas putida kt2440,glycerol metabolism,transcriptome,metabolic flux analysis,flux balance analysis,elementary flux modes,polyhydroxyalkanoates,nitrogen and carbon limitation

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