A condition-specific codon optimization approach for improved heterologous gene expression in Saccharomyces cerevisiae.

ABSTRACT:

Background

Heterologous gene expression is an important tool for synthetic biology that enables metabolic engineering and the production of non-natural biologics in a variety of host organisms. The translational efficiency of heterologous genes can often be improved by optimizing synonymous codon usage to better match the host organism. However, traditional approaches for optimization neglect to take into account many factors known to influence synonymous codon distributions.

Results

Here we define an alternative approach for codon optimization that utilizes systems level information and codon context for the condition under which heterologous genes are being expressed. Furthermore, we utilize a probabilistic algorithm to generate multiple variants of a given gene. We demons

SUBMITTER: Lanza AM 

PROVIDER: S-EPMC4004289 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature