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Exploring sequence characteristics related to high-level production of secreted proteins in Aspergillus niger.


ABSTRACT: Protein sequence features are explored in relation to the production of over-expressed extracellular proteins by fungi. Knowledge on features influencing protein production and secretion could be employed to improve enzyme production levels in industrial bioprocesses via protein engineering. A large set, over 600 homologous and nearly 2,000 heterologous fungal genes, were overexpressed in Aspergillus niger using a standardized expression cassette and scored for high versus no production. Subsequently, sequence-based machine learning techniques were applied for identifying relevant DNA and protein sequence features. The amino-acid composition of the protein sequence was found to be most predictive and interpretation revealed that, for both homologous and heterologous gene expression, the same features are important: tyrosine and asparagine composition was found to have a positive correlation with high-level production, whereas for unsuccessful production, contributions were found for methionine and lysine composition. The predictor is available online at http://bioinformatics.tudelft.nl/hipsec. Subsequent work aims at validating these findings by protein engineering as a method for increasing expression levels per gene copy.

SUBMITTER: van den Berg BA 

PROVIDER: S-EPMC3462195 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Exploring sequence characteristics related to high-level production of secreted proteins in Aspergillus niger.

van den Berg Bastiaan A BA   Reinders Marcel J T MJ   Hulsman Marc M   Wu Liang L   Pel Herman J HJ   Roubos Johannes A JA   de Ridder Dick D  

PloS one 20121001 10


Protein sequence features are explored in relation to the production of over-expressed extracellular proteins by fungi. Knowledge on features influencing protein production and secretion could be employed to improve enzyme production levels in industrial bioprocesses via protein engineering. A large set, over 600 homologous and nearly 2,000 heterologous fungal genes, were overexpressed in Aspergillus niger using a standardized expression cassette and scored for high versus no production. Subsequ  ...[more]

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