Published November 2017 | Version v1
Journal article

Enhanced production of glutaminase free L-asparaginase II by Bacillus subtilis WB800N through media optimization

  • 1. Indian Institute of Technology (IIT) Guwahati, Biochemical Engineering Laboratory, Department of Biosciences and Bioengineering (India)

Description

We studied the crucial components which elevate the expression of recombinant novel glutaminase free L-asparaginase II (rL-asp II) from Bacillus subtilis WB800N. The Plackett-Burman tool identified sucrose, NH4Cl, NaH2-PO4 and MgSO4 as the significant influencing factors (p<0.05). Further investigations showed that artificial neural network-genetic algorithm (ANN-GA) was more effective than central composite design (CCD) in optimizing the influencing factors. The maximum rL-asp II expression was found to be 389.56 IU/ml and 525.98 IU/ml using CCD (R2=90.4%) and ANN-GA (R2=96.2%), respectively. The validation experiments were carried out in a 3 L batch bioreactor where kinetic modelling of the obtained data was done. The rL-asp II expressed effectively inhibiting the polyacrylamide formation in vitro where no solidification was observed, when 2ml of purified rL-asp II used even after 60 min of incubation. This is the first study to report highest production of rL-asp II in B. subtilis WB800N (525.98 IU/ml) till date by combining statistical designs with consecutive intermittent addition of IPTG in batch reactor.

Additional details

Identifiers

Publishing Information

Journal Title
Korean Journal of Chemical Engineering
Journal Volume
34
Journal Issue
11
Journal Page Range
p. 2901-2915
ISSN
0256-1115

Optional Information

Copyright
Copyright (c) 2017 Korean Institute of Chemical Engineers, Seoul, Korea
Notes
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