Influence of the luxR Regulatory Gene Dosage and Expression Level on the Sensitivity of the Whole-Cell Biosensor to Acyl-Homoserine Lactone.
Sergey V BazhenovUliana NovoyatlovaEkaterina ScheglovaVadim V FominSvetlana A KhrulnovaOlga MelkinaVladimir ChistyakovIlya ManukhovPublished in: Biosensors (2021)
Aliivibrio fischeri LuxR and Aliivibrio logei LuxR1 and LuxR2 regulatory proteins are quorum sensing transcriptional (QS) activators, inducing promoters of luxICDABEG genes in the presence of an autoinducer (3-oxo-hexanoyl-l-homoserine lactone). In the Aliivibrio cells, luxR genes are regulated by HNS, CRP, LitR, etc. Here we investigated the role of the luxR expression level in LuxI/R QS system functionality and improved the whole-cell biosensor for autoinducer detection. Escherichia coli-based bacterial lux-biosensors were used, in which Photorhabdus luminescensluxCDABE genes were controlled by LuxR-dependent promoters and luxR, luxR1, or luxR2 regulatory genes. We varied either the dosage of the regulatory gene in the cells using additional plasmids, or the level of the regulatory gene expression using the lactose operon promoter. It was shown that an increase in expression level, as well as dosage of the regulatory gene in biosensor cells, leads to an increase in sensitivity (the threshold concentration of AI is reduced by one order of magnitude) and to a two to threefold reduction in response time. The best parameters were obtained for a biosensor with an increased dosage of luxRA. fischeri (sensitivity to 3-oxo-hexanoyl-l-homoserine lactone reached 30-100 pM).
Keyphrases
- transcription factor
- genome wide identification
- genome wide
- induced apoptosis
- gene expression
- escherichia coli
- label free
- poor prognosis
- dna methylation
- cell cycle arrest
- sensitive detection
- gold nanoparticles
- quantum dots
- genome wide analysis
- copy number
- single cell
- binding protein
- endoplasmic reticulum stress
- stem cells
- bioinformatics analysis
- artificial intelligence
- cystic fibrosis
- cell death
- cell proliferation
- risk assessment
- cell therapy
- particulate matter
- mesenchymal stem cells
- fatty acid
- multidrug resistant
- air pollution
- staphylococcus aureus
- pi k akt
- machine learning
- pseudomonas aeruginosa