Literature DB >> 18629820

A structured model for hyphal differentiation and penicillin production using Penicillium chrysogenum.

G C Paul1, C R Thomas.   

Abstract

A structured kinetic model describing growth, differentiation, and penicillin production in submerged Penicillium chrysogenum fermentations is reported. The filamentous hyphae are divided into four distinct regions on the basis of the activities and structure of hyphal compartments, viz., actively growing (mainly apical) regions, nongrowing or penicillin producing regions, vacuoles, and degenerated or metabolically inactive regions. A mechanistic approach is taken to give quantitative descriptions of differentiation and degeneration as a consequence of vacuolation. The growth and degeneration of vacuoles are expressed in the form of a population balance. The model assumes that newly generated vacuoles appear by differentiation of healthy regions, grow in size with limitation of available substrate, and eventually give rise to empty hyphal compartments. In the model the penicillin production is related to the amounts of the nongrowing regions of the hyphae. The model is used for successful predictions of the amounts of the four hyphal regions and the penicillin G production rate throughout the fed-batch fermentations of an industrial P. chrysogenum strain under different glucose feeding regimes. Quantitative information on proportions of the hyphal regions was obtained from image analysis measurements and the parameters of the kinetic model were identified. When the glucose feed rate to the production culture is switched between a high and a low value, the model can successfully predict the dynamic changes of differentiation and the resulting penicillin production caused by the variations in the nutrient conditions. The use of image analysis to characterize differentiation as a basis for structured modeling of the penicillin fermentation appears to be very powerful, and the method has great potential for use in process simulation and control of antibiotic fermentations.

Entities:  

Year:  1996        PMID: 18629820     DOI: 10.1002/(SICI)1097-0290(19960905)51:5<558::AID-BIT8>3.0.CO;2-B

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


  8 in total

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Authors:  Lanyu Cui; Yanbing Shen; Xiaodong Guo; Yizhong Wang; Yu Zheng; Jianmei Luo; Min Wang
Journal:  World J Microbiol Biotechnol       Date:  2012-06-13       Impact factor: 3.312

2.  Autophagy deficiency promotes beta-lactam production in Penicillium chrysogenum.

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Journal:  Appl Environ Microbiol       Date:  2010-12-17       Impact factor: 4.792

Review 3.  Structured morphological modeling as a framework for rational strain design of Streptomyces species.

Authors:  Katherine Celler; Cristian Picioreanu; Mark C M van Loosdrecht; Gilles P van Wezel
Journal:  Antonie Van Leeuwenhoek       Date:  2012-06-21       Impact factor: 2.271

Review 4.  The significance of peroxisomes in secondary metabolite biosynthesis in filamentous fungi.

Authors:  Magdalena Bartoszewska; Lukasz Opaliński; Marten Veenhuis; Ida J van der Klei
Journal:  Biotechnol Lett       Date:  2011-06-10       Impact factor: 2.461

Review 5.  Transport systems, intracellular traffic of intermediates and secretion of β-lactam antibiotics in fungi.

Authors:  Juan F Martín
Journal:  Fungal Biol Biotechnol       Date:  2020-04-25

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

Review 7.  Complex natural product production methods and options.

Authors:  Dongwon Park; Girish Swayambhu; Thomas Lyga; Blaine A Pfeifer
Journal:  Synth Syst Biotechnol       Date:  2021-01-05

Review 8.  The filamentous fungal pellet-relationship between morphology and productivity.

Authors:  Lukas Veiter; Vignesh Rajamanickam; Christoph Herwig
Journal:  Appl Microbiol Biotechnol       Date:  2018-02-22       Impact factor: 4.813

  8 in total

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