Biotechnology and Bioprocess Engineering:BBE

The Korean Society for Biotechnology and Bioengineering (한국생물공학회)
권호 표지

Metabolic Flux Analysis of a Poly-${\beta}$-hydroxybutyrate Producing Cyanobacterium, Synechococcus sp. MA19, Grown under Photoautotrophic Conditions

  • Nishioka, Motomu (Department of Chemical Science and Engineering, Graduate School of Engineering Science, Osaka University) ;
  • Nishiuma, Hajime (Department of Chemical Science and Engineering, Graduate School of Engineering Science, Osaka University) ;
  • Miyake, Masato (Tissue Engineering Research Center, National Institute of Advanced Industrial Science and Technology) ;
  • Asada, Yasuo (College of Science and Technology, Nihon University) ;
  • Shimizu, Kazuyuki (Department of Biochemical Engineering and Science, Kyushu Institute of Technology) ;
  • Taya, Masahito (Department of Chemical Science and Engineering, Graduate School of Engineering Science, Osaka University)
  • Published : 2002.09.01
Download PDF
⟨ Previous Next ⟩

Abstract

To understand the utilization property of light energy, Synechococcus sp. MA19, a poly-${\beta}$-hydroxybutyrate (PHB) producer, was cultivated at the different incident light intensities of 15.3, 50.0 and 78.2 W/$m^2$ using media with and without phosphate. From the results of metabolic flux analysis, it was found that the cell yield based on ATP synthesis was estimated as $3.5{\times}10^{-3}$ kg-biomass/mol-ATP in these cultures. Under the examined conditions, there were no significant differences in the efficiency of light energy conversion to chemical energies estimated as ATP synthesis and reducing potential (NADH + NADPH) formation whether the PHB synthesis took place or not. The energy converted from light to ATP was kept relatively high around the energy absorbed by the cells of $2.5-3.0{\times}10^{6} J\;h^{-1}\;kg^{-1}$, whereas the energy of reducing potential was hardly changed in the examined range of the energy absorbed by the cells.

Keywords

References

  1. J. Bacteriol v.149 Accumulation of poly-β-hydroxybutyrate in Spirulina plantensis Campbell, J. III.;S. E. Stevens Jr.;D. L. Balkwill
  2. FEMS Microbiol. Rev v.103 Poly(hydroxyalkanoate) in cyanobacteria: an overview Stal, L. J. https://doi.org/10.1111/j.1574-6968.1992.tb05835.x
  3. Biotechnol. Lett. v.23 Production of poly-β-hydroxybutyrate by thermophilic cyanobacterium, Synechococcus sp. MA19, under phosphate-limited conditions Nishioka, M.;K. Nakai;M. Miyake;Y. Asada;M. Taya https://doi.org/10.1023/A:1010551614648
  4. J. Ferment. Bioeng v.82 A thermophilic cyanobacterium, Synechococcus sp. MA19, capable of accumulating poly-β-hydroxybutyrate Miyake, M.;M. Erata;Y. Asada https://doi.org/10.1016/S0922-338X(97)86995-4
  5. Biotechnol. Bioeng v.21 Identification of metabolic model: citrate production from glucose by Canadia lipolytica Aiba, S.;M. Matsuoka https://doi.org/10.1002/bit.260210806
  6. Biotechnol. Bioeng v.41 Metabolic flux distribution in Corynebacterium glutamicum during growth and lysine overproduction Vallino, J. J.;G. Stephanopoulus https://doi.org/10.1002/bit.260410606
  7. J. Ferment. Bioeng v.84 Metabolic flux analysis of poly-(β-hydroxybutyric acid) in Alcaligenes eutrophus from various carbon sources Shi, H.;M. Shiraishi;K. Shimizu https://doi.org/10.1016/S0922-338X(97)81915-0
  8. Biotechnol. Bioeng v.55 An online physiological state recognition system for the lysine fermentation process based on a metabolic reaction model Takiguchi, N.;H. Shimizu;S. Shioya https://doi.org/10.1002/(SICI)1097-0290(19970705)55:1<170::AID-BIT18>3.0.CO;2-Q
  9. Biochem. Eng. J. v.2 Microaerobic lysine fermentation and metabolic flux analysis Hua, Q.;P. C. Fu;C. Yang;K. Shimizu https://doi.org/10.1016/S1369-703X(98)00020-5
  10. Biochem. Eng. J. v.6 Energetics and carbon metabolism during growth of microalgal cells un-der photoautotrophic, mixotrophic and cyclic light-autotrophic/dark-heterotrophic conditions Yang, C.;Q. Hua;K. Shimizu https://doi.org/10.1016/S1369-703X(00)00080-2
  11. J. Biosci. Bioeng. v.93 Quantitative analysis of intracellular metabolic fluxes using GC-MS and two-dimensional NMR spectroscopy Yang, C.;Q. Hua;K. Shimizu https://doi.org/10.1016/S1389-1723(02)80058-5
  12. J. Gen. Microbiol v.111 Genetic assignments, strain histories and properties of pure cultures of cyanobacteria Rippka, R.;J. Deruelles;J. B. Waterbury;M. Herdman;R. Y. Stanier https://doi.org/10.1099/00221287-111-1-1
  13. J. Chem. Eng. Jpn v.30 Growth estimation of Spirulina plantensis by considering light distribution in photoautotrophic batch culture Hirata, S.;J. Hata;M. Taya;S. Tone https://doi.org/10.1252/jcej.30.355
  14. Biochem. Eng. J. v.6 Characterization of energy conversion based on metabolic flux analysis in mixotrophic liverwort cells, Marchantia polymorpha Hata, J.;Q. Hua;C. Yang;K. Shimizu;M. Taya https://doi.org/10.1016/S1369-703X(00)00076-0
  15. Frontiers in Bioprocessing Flux deter-mination in cellular bioreaction networks;application to lysine fermentation Vallino, J. J.;G. Stephanopoulos;S. K. Sikdar(ed.);M. Bier(ed.);P. Todd(ed.)
  16. The Biochemistry of Plants v.2 Stumpf, P. K.;E. E. Conn
  17. Curr. Topics Cell. Reg v.28 The central metabolic pathways of Escherichia coli: relationship between flux and control at a branch point, efficiencies of conversion to biomass, andexcretion of acetate Holms, W. H.
  18. Growth of the Bacterial Cell Ingraham, J. L.;O. Maaloe;F. C. Nedhardt
  19. Biochemistry Rawn, J. D.