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GAP promoter‐based fed‐batch production of highly bioactive core streptavidin by Pichia pastoris
Authors:Jakob Michael Müller  Simon Bruhn  Erwin Flaschel  Karl Friehs  Joe Max Risse
Institution:Lehrstuhl Für Fermentationstechnik, Technische Fakult?t, Universit?t Bielefeld, Bielefeld, Germany
Abstract:Streptavidin is a homotetrameric protein binding the vitamin biotin and peptide analogues with an extremely high affinity, which leads to a large variety of applications. The biotin‐auxotrophic yeast Pichia pastoris has recently been identified as a suitable host for the expression of the streptavidin gene, allowing both high product concentrations and productivities. However, so far only methanol‐based expression systems have been applied, bringing about increased oxygen demand, strong heat evolution and high requirements for process safety, causing increased cost. Moreover, common methanol‐based processes lead to large proportions of biotin‐blocked binding sites of streptavidin due to biotin‐supplemented media. Targeting these problems, this paper provides strategies for the methanol‐free production of highly bioactive core streptavidin by P. pastoris under control of the constitutive GAP promoter. Complex were superior to synthetic production media regarding the proportion of biotin‐blocked streptavidin. The optimized, easily scalable fed‐batch process led to a tetrameric product concentration of up to 4.16 ± 0.11 µM of biotin‐free streptavidin and a productivity of 57.8 nM h?1 based on constant glucose feeding and a successive shift of temperature and pH throughout the cultivation, surpassing the concentration in un‐optimized conditions by a factor of 3.4. Parameter estimation indicates that the optimized conditions caused a strongly increased accumulation of product at diminishing specific growth rates (μ ≈ D < 0.01 h?1), supporting the strategy of feeding. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:855–864, 2016
Keywords:continuous shift of temperature and pH  biotin‐free streptavidin  bioreactor fed‐batch process optimization  proteolysis  parameter estimation
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