scholarly journals A single-component light sensor system allows highly tunable and direct activation of gene expression in bacterial cells

2020 ◽  
Vol 48 (6) ◽  
pp. e33-e33 ◽  
Author(s):  
Xie Li ◽  
Changcheng Zhang ◽  
Xiaopei Xu ◽  
Jun Miao ◽  
Jing Yao ◽  
...  

Abstract Light-regulated modules offer unprecedented new ways to control cellular behaviour with precise spatial and temporal resolution. Among a variety of bacterial light-switchable gene expression systems, single-component systems consisting of single transcription factors would be more useful due to the advantages of speed, simplicity, and versatility. In the present study, we developed a single-component light-activated bacterial gene expression system (eLightOn) based on a novel LOV domain from Rhodobacter sphaeroides (RsLOV). The eLightOn system showed significant improvements over the existing single-component bacterial light-activated expression systems, with benefits including a high ON/OFF ratio of >500-fold, a high activation level, fast activation kinetics, and/or good adaptability. Additionally, the induction characteristics, including regulatory windows, activation kinetics and light sensitivities, were highly tunable by altering the expression level of LexRO. We demonstrated the usefulness of the eLightOn system in regulating cell division and swimming by controlling the expression of the FtsZ and CheZ genes, respectively, as well as constructing synthetic Boolean logic gates using light and arabinose as the two inputs. Taken together, our data indicate that the eLightOn system is a robust and highly tunable tool for quantitative and spatiotemporal control of bacterial gene expression.

2021 ◽  
Author(s):  
Yuan Yuan ◽  
Jin Miao

Chemical induced gene expression is a valuable tool for gene function study. However, most chemical inducers are confined to certain groups of organisms. We engineered a mandipropamid induced gene expression system (Mandi-T7) based on evolved split T7 RNAP system. We showed Mandi-T7 could modulate bacterial gene expression in planta.


2002 ◽  
Vol 56 (1) ◽  
pp. 599-624 ◽  
Author(s):  
Virgil Rhodius ◽  
Tina K. Van Dyk ◽  
Carol Gross ◽  
Robert A. LaRossa

2005 ◽  
Vol 54 (5) ◽  
pp. 497-504 ◽  
Author(s):  
Joseph Richardson ◽  
Justin Corey Craighead ◽  
Sam Linsen Cao ◽  
Martin Handfield

Actinobacillus actinomycetemcomitans is a facultatively intracellular pathogen and the aetiological agent of localized aggressive periodontitis. Screening of the genome of A. actinomycetemcomitans for in vivo-induced antigen determinants previously demonstrated that the proteome of this organism differs in laboratory culture compared with conditions found during active infection. The aim of the present study was to determine whether the bacterial gene expression pattern inferred with in vivo-induced antigen technology (IVIAT) in human infections was consistent with the gene expression pattern occurring upon epithelial cell association. To this end, a real-time PCR method was developed and used to quantify absolute and relative bacterial gene expression of A. actinomycetemcomitans grown extra- and intracellularly in two human epithelial cell lines (HeLa and IHGK). The amount of template used in the assay was normalized using the total count of viable bacteria (c.f.u.) as a reference point and performed in duplicate in at least two independent experiments. Controls for this experiment included 16S rRNA and gapdh. Transcription of all eight ORFs tested increased significantly (P < 0.05) in HeLa and IHGK cells compared with bacteria grown extracellularly. The concurrence of gene expression patterns found in the two models suggests that these epithelial cells are valid in vitro models of infection for the genes tested. IVIAT is an experimental platform that can be used as a validation tool to assess the reliability of animal and other models of infection and is applicable to most pathogens.


Author(s):  
Sofia Startceva ◽  
Vinodh K. Kandavalli ◽  
Ari Visa ◽  
Andre S. Ribeiro

2013 ◽  
Vol 163 (2-3) ◽  
pp. 171-179 ◽  
Author(s):  
Ji Young Jung ◽  
Se Hee Lee ◽  
Hyun Mi Jin ◽  
Yoonsoo Hahn ◽  
Eugene L. Madsen ◽  
...  

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