Construction of a biodynamic model for Cry protein production studies
AMB Express, ISSN: 2191-0855, Vol: 4, Issue: 1, Page: 1-10
2014
- 5Citations
- 16Captures
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Article Description
Mathematical models have been used from growth kinetic simulation to gen regulatory networks prediction for B. thuringiensis culture. However, this culture is a time dependent dynamic process where cells physiology suffers several changes depending on the changes in the cell environment. Therefore, through its culture, B. thuringiensis presents three phases related with the predominance of three major metabolic pathways: vegetative growth (Embded-Meyerhof-Parnas pathway), transition (γ-aminobutiric cycle) and sporulation (tricarboxylic acid cycle). There is not available a mathematical model that relates the different stages of cultivation with the metabolic pathway active on each one of them. Therefore, in the present study, and based on published data, a biodynamic model was generated to describe the dynamic of the three different phases based on their major metabolic pathways. The biodynamic model is used to study the interrelation between the different culture phases and their relationship with the Cry protein production. The model consists of three interconnected modules where each module represents one culture phase and its principal metabolic pathway. For model validation four new fermentations were done showing that the model constructed describes reasonably well the dynamic of the three phases. The main results of this model imply that poly-β-hydroxybutyrate is crucial for endospore and Cry protein production. According to the yields of dipicolinic acid and Cry from poly-β-hydroxybutyrate, calculated with the model, the endospore and Cry protein production are not just simultaneous and parallel processes they are also competitive processes.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84957580215&origin=inward; http://dx.doi.org/10.1186/s13568-014-0079-y; http://www.ncbi.nlm.nih.gov/pubmed/26267110; http://www.amb-express.com/content/4/1/79; https://dx.doi.org/10.1186/s13568-014-0079-y; https://amb-express.springeropen.com/articles/10.1186/s13568-014-0079-y
Springer Science and Business Media LLC
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