Literature DB >> 27170323

Screening of an Escherichia coli promoter library for a phenylalanine biosensor.

Regina Mahr1, Raphael Freiherr von Boeselager1, Johanna Wiechert1, Julia Frunzke2.   

Abstract

In recent years, the application of transcription factor-based biosensors for the engineering of microbial production strains opened up new opportunities for industrial biotechnology. However, the design of synthetic regulatory circuits depends on the selection of suitable transcription factor-promoter pairs to convert the concentration of effector molecules into a measureable output. Here, we present an efficient strategy to screen promoter libraries for appropriate parts for biosensor design. To this end, we pooled the strains of the Alon library containing about 2000 different Escherichia coli promoter-gfpmut2 fusions, and enriched galactose- and L-phenylalanine-responsive promoters by toggled rounds of positive and negative selection using fluorescence-activated cell sorting (FACS). For both effectors, responsive promoters were isolated and verified by cultivation in microtiter plates. The promoter of mtr, encoding an L-tryptophan-specific transporter, was identified as suitable part for the construction of an L-phenylalanine biosensor. In the following, we performed a comparative analysis of different biosensor constructs based on the mtr promoter. The obtained data revealed a strong influence of the biosensor architecture on the performance characteristics. For proof-of-principle, the mtr sensor was applied in a FACS high-throughput screening of an E. coli MG1655 mutant library for the isolation of L-phenylalanine producers. These results emphasize the developed screening approach as a convenient strategy for the identification of effector-responsive promoters for the design of novel biosensors.

Entities:  

Keywords:  Aromatic amino acids; Biosensor; GFP library; Phenylalanine; Population heterogeneity; Random mutagenesis

Mesh:

Substances:

Year:  2016        PMID: 27170323     DOI: 10.1007/s00253-016-7575-8

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  10 in total

Review 1.  Metabolic engineering for the production of l-phenylalanine in Escherichia coli.

Authors:  Xiaozhen Liu; Hao Niu; Qiang Li; Pengfei Gu
Journal:  3 Biotech       Date:  2019-02-15       Impact factor: 2.406

Review 2.  Tailor-made transcriptional biosensors for optimizing microbial cell factories.

Authors:  Brecht De Paepe; Gert Peters; Pieter Coussement; Jo Maertens; Marjan De Mey
Journal:  J Ind Microbiol Biotechnol       Date:  2016-11-11       Impact factor: 3.346

3.  In vivo biosensors: mechanisms, development, and applications.

Authors:  Shuobo Shi; Ee Lui Ang; Huimin Zhao
Journal:  J Ind Microbiol Biotechnol       Date:  2018-01-29       Impact factor: 3.346

4.  Engineering ligand-specific biosensors for aromatic amino acids and neurochemicals.

Authors:  Austin G Rottinghaus; Chenggang Xi; Matthew B Amrofell; Hyojeong Yi; Tae Seok Moon
Journal:  Cell Syst       Date:  2021-11-11       Impact factor: 10.304

5.  RNA-aptamers-in-droplets (RAPID) high-throughput screening for secretory phenotypes.

Authors:  Joseph Abatemarco; Maen F Sarhan; James M Wagner; Jyun-Liang Lin; Leqian Liu; Wafa Hassouneh; Shuo-Fu Yuan; Hal S Alper; Adam R Abate
Journal:  Nat Commun       Date:  2017-08-23       Impact factor: 14.919

6.  Selection of High Producers From Combinatorial Libraries for the Production of Recombinant Proteins in Escherichia coli and Vibrio natriegens.

Authors:  Joel Eichmann; Markus Oberpaul; Tobias Weidner; Doreen Gerlach; Peter Czermak
Journal:  Front Bioeng Biotechnol       Date:  2019-10-04

7.  A genome-wide approach for identification and characterisation of metabolite-inducible systems.

Authors:  Erik K R Hanko; Ana C Paiva; Magdalena Jonczyk; Matthew Abbott; Nigel P Minton; Naglis Malys
Journal:  Nat Commun       Date:  2020-03-05       Impact factor: 14.919

Review 8.  Effective use of biosensors for high-throughput library screening for metabolite production.

Authors:  Jennifer A Kaczmarek; Kristala L J Prather
Journal:  J Ind Microbiol Biotechnol       Date:  2021-12-23       Impact factor: 4.258

9.  Engineering and application of synthetic nar promoter for fine-tuning the expression of metabolic pathway genes in Escherichia coli.

Authors:  Hee Jin Hwang; Sang Yup Lee; Pyung Cheon Lee
Journal:  Biotechnol Biofuels       Date:  2018-04-07       Impact factor: 6.040

10.  A synthetic biosensor to detect peroxisomal acetyl-CoA concentration for compartmentalized metabolic engineering.

Authors:  Herbert M Huttanus; Ryan S Senger
Journal:  PeerJ       Date:  2020-09-08       Impact factor: 2.984

  10 in total

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