Predictive design of mRNA translation initiation region to control prokaryotic translation efficiency

Precise prediction of prokaryotic translation efficiency can provide valuable information for optimizing bacterial host for the production of biochemical compounds or recombinant proteins. However, dynamic changes in mRNA folding throughout translation make it difficult to assess translation efficie...

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Detalles Bibliográficos
Autores: Seo, Sang Woo, Yang, Jae-Seong, Kim, Inhae, Yang, Jina, Min, Byung Eun, Kim, Sanguk, Jung, Gyoo Yeol
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2013
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/379259
Acceso en línea:http://hdl.handle.net/10261/379259
https://api.elsevier.com/content/abstract/scopus_id/84870851210
Access Level:acceso abierto
Palabra clave:5′-untranslated region
mRNA secondary structure
Synthetic biology
Translation efficiency
Descripción
Sumario:Precise prediction of prokaryotic translation efficiency can provide valuable information for optimizing bacterial host for the production of biochemical compounds or recombinant proteins. However, dynamic changes in mRNA folding throughout translation make it difficult to assess translation efficiency. Here, we systematically determined the universal folding regions that significantly affect the efficiency of translation in Escherichia coli. By assessing the specific regions for mRNA folding, we could construct a predictive design method, UTR Designer, and demonstrate that proper codon optimization around the 5'-proximal coding sequence is necessary to achieve a broad range of expression levels. Finally, we applied our method to control the threshold value of input signals switching on a genetic circuit. This should increase our understanding of the processes underlying gene expression and provide an efficient design principle for optimizing various biological systems, thereby facilitating future efforts in metabolic engineering and synthetic biology.