Literature DB >> 18623440

Morphology of Trichoderma reesei QM 9414 in submerged cultures.

R Lejeune1, J Nielsen, G V Baron.   

Abstract

The microscopic morphology of Trichoderma reesei QM 9414, growing in submerged culture, was studied by image analysis. The morphology was characterized by the total hyphal length, the total number of tips, the number of actively growing tips, and the length of the main hypha. To describe the growth of a single mycelium a simple model is set-up. The main features of the model are: (1) saturation type kinetics for the tip extension of the individual branches within the mycelium; and (2) random branching with a frequency function, which is proportional to the total hyphal length. The model is used to simulate a population of mycelia, where spore germination is described with a log-normal distribution. From the simulation of the population, the average properties of the mycelia, e.g., the average total hyphal length, are calculated, and by fitting the model to experimental data the model parameters are estimated. Finally, the distribution function with respect to the mycelia properties, that is, number of tips and total hyphal length, is calculated, and it corresponds well with the experimental determination of the distribution function. (c) 1995 John Wiley & Sons Inc.

Entities:  

Year:  1995        PMID: 18623440     DOI: 10.1002/bit.260470513

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


  2 in total

1.  Metabolic engineering of the morphology of Aspergillus oryzae by altering chitin synthesis.

Authors:  Christian Müller; Mhairi McIntyre; Kim Hansen; Jens Nielsen
Journal:  Appl Environ Microbiol       Date:  2002-04       Impact factor: 4.792

2.  A flexible mathematical model platform for studying branching networks: experimentally validated using the model actinomycete, Streptomyces coelicolor.

Authors:  Leena Nieminen; Steven Webb; Margaret C M Smith; Paul A Hoskisson
Journal:  PLoS One       Date:  2013-02-18       Impact factor: 3.240

  2 in total

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