Improved Production of a Heterologous Amylase in Saccharomyces cerevisiae by Inverse Metabolic Engineering
Journal article, 2014

The increasing demand for industrial enzymes and biopharmaceutical proteins relies on robust production hosts with high protein yield and productivity. Being one of the best-studied model organisms and capable of performing posttranslational modifications, the yeast Saccharomyces cerevisiae is widely used as a cell factory for recombinant protein production. However, many recombinant proteins are produced at only 1% (or less) of the theoretical capacity due to the complexity of the secretory pathway, which has not been fully exploited. In this study, we applied the concept of inverse metabolic engineering to identify novel targets for improving protein secretion. Screening that combined UV-random mutagenesis and selection for growth on starch was performed to find mutant strains producing heterologous amylase 5-fold above the level produced by the reference strain. Genomic mutations that could be associated with higher amylase secretion were identified through whole-genome sequencing. Several single-point mutations, including an S196I point mutation in the VTA1 gene coding for a protein involved in vacuolar sorting, were evaluated by introducing these to the starting strain. By applying this modification alone, the amylase secretion could be improved by 35%. As a complement to the identification of genomic variants, transcriptome analysis was also performed in order to understand on a global level the transcriptional changes associated with the improved amylase production caused by UV mutagenesis.

SECRETION

TRANSCRIPTION FACTORS

YEAST

RECOMBINANT PROTEIN-PRODUCTION

GENOME

SYSTEMS

STRUCTURAL BASIS

ENHANCED

GENE-EXPRESSION

SURFACE DISPLAY

STRESS

Author

Zihe Liu

Chalmers, Chemical and Biological Engineering, Life Sciences, System Biology

Lifang Liu

Chalmers, Chemical and Biological Engineering, Life Sciences, System Biology

Tobias Österlund

Chalmers, Chemical and Biological Engineering, Life Sciences, System Biology

Jin Hou

Chalmers, Chemical and Biological Engineering, Life Sciences, System Biology

Mingtao Huang

Chalmers, Chemical and Biological Engineering, Life Sciences, System Biology

L. Fagerberg

Royal Institute of Technology (KTH)

Dina Petranovic Nielsen

Chalmers, Chemical and Biological Engineering, Life Sciences, System Biology

M. Uhlen

Technical University of Denmark (DTU)

Royal Institute of Technology (KTH)

Jens B Nielsen

Chalmers, Chemical and Biological Engineering, Life Sciences, System Biology

Applied and Environmental Microbiology

0099-2240 (ISSN) 1098-5336 (eISSN)

Vol. 80 17 5542-5550

Industrial Systems Biology of Yeast and A. oryzae (INSYSBIO)

European Commission (FP7), 2010-01-01 -- 2014-12-31.

Subject Categories

Industrial Biotechnology

Infrastructure

C3SE (Chalmers Centre for Computational Science and Engineering)

Areas of Advance

Life Science Engineering (2010-2018)

DOI

10.1128/aem.00712-14

More information

Latest update

2/28/2018