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

Keizers M, Dobrindt U, Berger M

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

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 anEscherichia colibiosensor-based assay that is sensitive, cheap, fast, robust, and reliable in the quantification of biologically active AI-2. The bioassay is based on anlsrpromoter-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 μM 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.

Details zur Publikation

FachzeitschriftACS Synthetic Biology
Jahrgang / Bandnr. / Volume11
Ausgabe / Heftnr. / Issue2
Seitenbereich747-759
StatusVeröffentlicht
Veröffentlichungsjahr2022 (18.02.2022)
Sprache, in der die Publikation verfasst istEnglisch
DOI10.1021/acssynbio.1c00459
Stichwörterautoinducer-2; biosensor; fluorescence; quantification bioassay; quorum sensing; real-time detection

Autor*innen der Universität Münster

Berger, Michael
Institut für Hygiene
Dobrindt, Ulrich
Institut für Hygiene
Keizers, Marla
Institut für Hygiene