A Simple Biosensor-Based Assay for Quantitative Autoinducer-2 Analysis

Bacteria produce and react to interspecies signaling molecules in order to control the expression of genes that are particularly beneficial when they are expressed by a bacterial community. In addition to intraspecies communication, the signaling molecule autoinducer-2 (AI-2) can also serve for interspecies communication between Gram-positive and Gram-negative bacteria and is therefore of particular interest. The analysis and quantification of AI-2 are essential for understanding population density-dependent changes in bacterial behavior and pathogenicity. However, currently available bioassays for AI-2 quantification are rather complex, have narrow detection ranges, and are very sensitive to trace components of, for example, growth media. To facilitate and improve the detection of AI-2, we have developed an Escherichia coli biosensor-based assay that is sensitive, cheap, fast, robust, and reliable in the quantification of biologically active AI-2. The bioassay is based on an lsr promoter-fluorescent reporter gene fusion cassette that we chromosomally integrated in a biosensor strain, but the cassette can also be used in a low-copy number plasmid for the application in other Gram -negative bacterial species. We show here that AI-2 quantification was possible in a concentration range from 400 nM to 100 mu M and that a critical interpretation of the kinetics of the measurements can reveal sugar interference. With the help of our biosensor strain, coculture experiments were done to test the capability and kinetics of AI-2 secretion by various Gram-negative bacteria in real time. Finally, calibration curves were used to calculate the absolute AI-2 concentration in cell-free bacterial samples.

Automated summary

Bacteria use interspecies signaling molecules to control gene expression for the benefit of the bacterial community. The analysis and quantification of the signaling molecule AI-2 are important for understanding changes in bacterial behavior. Current bioassays for AI-2 are complex and sensitive, so researchers have developed a sensitive and reliable Escherichia coli biosensor-based assay for AI-2 quantification.