In silico evolution of Aspergillus niger organic acid production suggests strategies for switching acid output.

ABSTRACT:

Background

The fungus Aspergillus niger is an important industrial organism for citric acid fermentation; one of the most efficient biotechnological processes. Previously we introduced a dynamic model that captures this process in the industrially relevant batch fermentation setting, providing a more accurate predictive platform to guide targeted engineering. In this article we exploit this dynamic modelling framework, coupled with a robust genetic algorithm for the in silico evolution of A. niger organic acid production, to provide solutions to complex evolutionary goals involving a multiplicity of targets and beyond the reach of simple Boolean gene deletions. We base this work on the latest metabolic models of the parent citric acid producing strain ATCC1015 dedicat

SUBMITTER: Upton DJ 

PROVIDER: S-EPMC7038614 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature