20 research outputs found

    A sigma factor toolbox for orthogonal gene expression in Escherichia coli

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    Synthetic genetic sensors and circuits enable programmable control over timing and conditions of gene expression and, as a result, are increasingly incorporated into the control of complex and multi-gene pathways. Size and complexity of genetic circuits are growing, but stay limited by a shortage of regulatory parts that can be used without interference. Therefore, orthogonal expression and regulation systems are needed to minimize undesired crosstalk and allow for dynamic control of separate modules. This work presents a set of orthogonal expression systems for use in Escherichia coli based on heterologous sigma factors from Bacillus subtilis that recognize specific promoter sequences. Up to four of the analyzed sigma factors can be combined to function orthogonally between each other and toward the host. Additionally, the toolbox is expanded by creating promoter libraries for three sigma factors without loss of their orthogonal nature. As this set covers a wide range of transcription initiation frequencies, it enables tuning of multiple outputs of the circuit in response to different sensory signals in an orthogonal manner. This sigma factor toolbox constitutes an interesting expansion of the synthetic biology toolbox and may contribute to the assembly of more complex synthetic genetic systems in the future

    Improving formaldehyde consumption drives methanol assimilation in engineered E. coli

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    Due to volatile sugar prices, the food vs fuel debate, and recent increases in the supply of natural gas, methanol has emerged as a promising feedstock for the bio-based economy. However, attempts to engineer Escherichia coli to metabolize methanol have achieved limited success. Here, we provide a rigorous systematic analysis of several potential pathway bottlenecks. We show that regeneration of ribulose 5-phosphate in E. coli is insufficient to sustain methanol assimilation, and overcome this by activating the sedoheptulose bisphosphatase variant of the ribulose monophosphate pathway. By leveraging the kinetic isotope effect associated with deuterated methanol as a chemical probe, we further demonstrate that under these conditions overall pathway flux is kinetically limited by methanol dehydrogenase. Finally, we identify NADH as a potent kinetic inhibitor of this enzyme. These results provide direction for future engineering strategies to improve methanol utilization, and underscore the value of chemical biology methodologies in metabolic engineering

    Development of synthetic biology tools for Escherichia coli and metabolic engineering of synthetic methylotrophy

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    Programming biology: expanding the toolset for the engineering of transcription

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    Transcription is a complex and dynamic process representing the first step in gene expression that can be readily controlled through current tools in molecular biology. Elucidating and subsequently controlling transcriptional processes in various prokaryotic and eukaryotic organisms have been a key element in translational research, yielding a variety of new opportunities for scientists and engineers. This chapter aims to give an overview of how the fields of molecular and synthetic biology have contributed both historically and presently to the state of the art in transcriptional engineering. The described tools and techniques, as well as the emerging genetic circuit engineering discipline, open the door to new advances in the fields of medical and industrial biotechnology

    Developing a versatile genome editing tool for C. glutamicum to enhance chito-oligosaccharides production

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    Chito-oligosaccharides are a class of molecules, composed of N-acetyl glucosamine and glucosamine sub-units, that possess various interesting properties. Currently, progress towards microbial in vivo production of these molecules was conducted in Escherichia coli. A disadvantage using E. coli may be its sub-optimal background metabolism. However, other production hosts that might harbor a more suitable metabolic basis tend to have a limited genetic toolbox, e.g. Corynebacterium glutamicum. Here we propose a versatile and efficient genome editing tool for C. glutamicum in order to substantially increase its in vivo production of specific chito-oligosaccharides
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