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Ribosomal binding site sequences and promoters for expressing glutamate decarboxylase and producing γ-aminobutyrate in Corynebacterium glutamicum

Overview of attention for article published in AMB Express, April 2018
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Title
Ribosomal binding site sequences and promoters for expressing glutamate decarboxylase and producing γ-aminobutyrate in Corynebacterium glutamicum
Published in
AMB Express, April 2018
DOI 10.1186/s13568-018-0595-2
Pubmed ID
Authors

Feng Shi, Mingyue Luan, Yongfu Li

Abstract

Glutamate decarboxylase (GAD) converts L-glutamate (Glu) into γ-aminobutyric acid (GABA). Corynebacterium glutamicum that expresses exogenous GAD gene, gadB2 or gadB1, can synthesize GABA from its own produced Glu. To enhance GABA production in C. glutamicum, ribosomal binding site (RBS) sequence and promoter were searched and optimized for increasing the expression efficiency of gadB2. R4 exhibited the highest strength among RBS sequences tested, with 6 nt the optimal aligned spacing (AS) between RBS and start codon. This combination of RBS sequence and AS contributed to gadB2 expression, increased GAD activity by 156% and GABA production by 82% compared to normal strong RBS and AS combination. Then, a series of native promoters were selected for transcribing gadB2 under optimal RBS and AS combination. P dnaK , P dtsR , P odhI and P clgR expressed gadB2 and produced GABA as effectively as widely applied P tuf and P cspB promoters and more effectively than P sod promoter. However, each native promoter did not work as well as the synthetic strong promoter P tacM , which produced 20.2 ± 0.3 g/L GABA. Even with prolonged length and bicistronic architecture, the strength of P dnaK did not enhance. Finally, gadB2 and mutant gadB1 were co-expressed under the optimal promoter and RBS combination, thus converted Glu into GABA completely and improved GABA production to more than 25 g/L. This study provides useful promoters and RBS sequences for gene expression in C. glutamicum.

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Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 25%
Student > Ph. D. Student 10 21%
Researcher 6 13%
Student > Bachelor 1 2%
Unspecified 1 2%
Other 2 4%
Unknown 16 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 33%
Agricultural and Biological Sciences 7 15%
Unspecified 1 2%
Chemical Engineering 1 2%
Business, Management and Accounting 1 2%
Other 3 6%
Unknown 19 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 April 2018.
All research outputs
#20,481,952
of 23,043,346 outputs
Outputs from AMB Express
#974
of 1,242 outputs
Outputs of similar age
#288,379
of 327,287 outputs
Outputs of similar age from AMB Express
#39
of 62 outputs
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