Literature DB >> 20148401

Dynamic gene expression regulation model for growth and penicillin production in Penicillium chrysogenum.

Rutger D Douma1, Peter J T Verheijen, Wim T A M de Laat, Joseph J Heijnen, Walter M van Gulik.   

Abstract

As is often the case for microbial product formation, the penicillin production rate of Penicillium chrysogenum has been observed to be a function of the growth rate of the organism. The relation between the biomass specific rate of penicillin formation (q(p)) and growth rate (mu) has been measured under steady state conditions in carbon limited chemostats resulting in a steady state q(p)(mu) relation. Direct application of such a relation to predict the rate of product formation during dynamic conditions, as they occur, for example, in fed-batch experiments, leads to errors in the prediction, because q(p) is not an instantaneous function of the growth rate but rather lags behind because of adaptational and regulatory processes. In this paper a dynamic gene regulation model is presented, in which the specific rate of penicillin production is assumed to be a linear function of the amount of a rate-limiting enzyme in the penicillin production pathway. Enzyme activity assays were performed and strongly indicated that isopenicillin-N synthase (IPNS) was the main rate-limiting enzyme for penicillin-G biosynthesis in our strain. The developed gene regulation model predicts the expression of this rate limiting enzyme based on glucose repression, fast decay of the mRNA encoding for the enzyme as well as the decay of the enzyme itself. The gene regulation model was combined with a stoichiometric model and appeared to accurately describe the biomass and penicillin concentrations for both chemostat steady-state as well as the dynamics during chemostat start-up and fed-batch cultivation.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20148401     DOI: 10.1002/bit.22689

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  9 in total

1.  Development of quantitative metabolomics for Pichia pastoris.

Authors:  Marc Carnicer; André B Canelas; Angela Ten Pierick; Zhen Zeng; Jan van Dam; Joan Albiol; Pau Ferrer; Joseph J Heijnen; Walter van Gulik
Journal:  Metabolomics       Date:  2011-04-21       Impact factor: 4.290

Review 2.  Biosynthetic process and strain improvement approaches for industrial penicillin production.

Authors:  Amol M Sawant; Koteswara Rao Vamkudoth
Journal:  Biotechnol Lett       Date:  2022-01-09       Impact factor: 2.461

3.  Degeneration of penicillin production in ethanol-limited chemostat cultivations of Penicillium chrysogenum: A systems biology approach.

Authors:  Rutger D Douma; Joana M Batista; Kai M Touw; Jan A K W Kiel; Arjen M Krikken; Zheng Zhao; Tânia Veiga; Paul Klaassen; Roel A L Bovenberg; Jean-Marc Daran; Joseph J Heijnen; Walter M van Gulik
Journal:  BMC Syst Biol       Date:  2011-08-19

4.  Euler-Lagrange computational fluid dynamics for (bio)reactor scale down: An analysis of organism lifelines.

Authors:  Cees Haringa; Wenjun Tang; Amit T Deshmukh; Jianye Xia; Matthias Reuss; Joseph J Heijnen; Robert F Mudde; Henk J Noorman
Journal:  Eng Life Sci       Date:  2016-09-14       Impact factor: 2.678

5.  Lecithin is the key material attribute in soy bean oil affecting filamentous bioprocesses.

Authors:  Alexandra Hofer; Christoph Herwig; Oliver Spadiut
Journal:  AMB Express       Date:  2018-06-01       Impact factor: 3.298

6.  Optimal process design space to ensure maximum viability and productivity in Penicillium chrysogenum pellets during fed-batch cultivations through morphological and physiological control.

Authors:  Lukas Veiter; Julian Kager; Christoph Herwig
Journal:  Microb Cell Fact       Date:  2020-02-13       Impact factor: 5.328

7.  Stochastic parcel tracking in an Euler-Lagrange compartment model for fast simulation of fermentation processes.

Authors:  Cees Haringa; Wenjun Tang; Henk J Noorman
Journal:  Biotechnol Bioeng       Date:  2022-04-11       Impact factor: 4.395

8.  Comparative performance of different scale-down simulators of substrate gradients in Penicillium chrysogenum cultures: the need of a biological systems response analysis.

Authors:  Guan Wang; Junfei Zhao; Cees Haringa; Wenjun Tang; Jianye Xia; Ju Chu; Yingping Zhuang; Siliang Zhang; Amit T Deshmukh; Walter van Gulik; Joseph J Heijnen; Henk J Noorman
Journal:  Microb Biotechnol       Date:  2018-01-15       Impact factor: 5.813

9.  Changes in Oxygen Availability during Glucose-Limited Chemostat Cultivations of Penicillium chrysogenum Lead to Rapid Metabolite, Flux and Productivity Responses.

Authors:  Qi Yang; Wenli Lin; Jiawei Xu; Nan Guo; Jiachen Zhao; Gaoya Wang; Yongbo Wang; Ju Chu; Guan Wang
Journal:  Metabolites       Date:  2022-01-07
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.