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Response Surface Methodology Based Optimization of β-Glucosidase Production from Pichia pastoris

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Abstract

The thermotolerant yeast Pichia etchellsii produces multiple cell bound β-glucosidases that can be used for synthesis of important alkyl- and aryl-glucosides. Present work focuses on enhancement of β-glucosidase I (BGLI) production in Pichia pastoris. In the first step, one-factor-at-a-time experimentation was used to investigate the effect of aeration, antifoam addition, casamino acid addition, medium pH, methanol concentration, and mixed feed components on BGLI production. Among these, initial medium pH, methanol concentration, and mixed feed in the induction phase were found to affect BGLI production. A 3.3-fold improvement in β-glucosidase expression was obtained at pH 7.5 as compared to pH 6.0 on induction with 1 % methanol. Addition of sorbitol, a non-repressing substrate, led to further enhancement in β-glucosidase production by 1.4-fold at pH 7.5. These factors were optimized with response surface methodology using Box–Behnken design. Empirical model obtained was used to define the optimum “operating space” for fermentation which was a pH of 7.5, methanol concentration of 1.29 %, and sorbitol concentration of 1.28 %. Interaction of pH and sorbitol had maximum effect leading to the production of 4,400 IU/L. The conditions were validated in a 3-L bioreactor with accumulation of 88 g/L biomass and 2,560 IU/L β-glucosidase activity.

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Abbreviations

BGLI:

β-glucosidase

pNPG:

p-Nitrophenyl glucopyranoside

OFAT:

One-factor-at-a-time

RSM:

Response surface methodology

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Acknowledgments

Financial assistance from the Department of Science and Technology, Government of India, New Delhi is gratefully acknowledged. Senior research fellowship to Miss Jyoti Batra from the Council of Scientific and Industrial Research, New Delhi and scholarship to Mr. Dhananjay Beri provided by the Ministry of Human Resource and Development are gratefully acknowledged. We also thank Mr. Ashwani Gautam and Mr. Anshul Sharma for assisting in running the fermentor.

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  1. Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India

    Jyoti Batra, Dhananjay Beri & Saroj Mishra

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  1. Jyoti Batra
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  2. Dhananjay Beri
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  3. Saroj Mishra
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Correspondence to Saroj Mishra.

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Batra, J., Beri, D. & Mishra, S. Response Surface Methodology Based Optimization of β-Glucosidase Production from Pichia pastoris . Appl Biochem Biotechnol 172, 380–393 (2014). https://doi.org/10.1007/s12010-013-0519-1

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