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Metagenomic mining of regulatory elements enables programmable species-selective gene expression

Robust and predictably performing synthetic circuits rely on the use of well-characterized regulatory parts across different genetic backgrounds and environmental contexts. Here, we report the large-scale metagenomic mining of thousands of natural 5′-regulatory sequences from diverse bacteria and th...

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Detalles Bibliográficos
Autores principales: Johns, Nathan I., Gomes, Antonio L.C., Yim, Sung Sun, Yang, Anthony, Blazejewski, Tomasz, Smillie, Christopher S., Smith, Mark B., Alm, Eric J., Kosuri, Sriram, Wang, Harris H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6065261/
https://www.ncbi.nlm.nih.gov/pubmed/30052624
http://dx.doi.org/10.1038/nmeth.4633
Descripción
Sumario:Robust and predictably performing synthetic circuits rely on the use of well-characterized regulatory parts across different genetic backgrounds and environmental contexts. Here, we report the large-scale metagenomic mining of thousands of natural 5′-regulatory sequences from diverse bacteria and their multiplexed gene expression characterization in industrially-relevant microbes. We identified regulatory sequences with broad and host-specific expression properties that are robust in various growth conditions. We further observed significant differences between species’ capacity to utilize exogenous regulatory sequences. Finally, we demonstrated programmable species-selective gene expression that produces distinct and diverse output patterns in different microbes by leveraging regulatory sequences with pre-defined host-specificities. Together, these findings provide a rich resource of characterized and annotated natural regulatory sequences and a framework to engineer synthetic gene circuits with unique and tunable cross-species functionality and properties.