Title |
Development and characterization of indole-responsive whole-cell biosensor based on the inducible gene expression system from Pseudomonas putida KT2440 / |
Authors |
Matulis, Paulius ; Kutraite, Ingrida ; Augustiniene, Ernesta ; Valanciene, Egle ; Jonuskiene, Ilona ; Malys, Naglis |
DOI |
10.3390/ijms23094649 |
Full Text |
|
Is Part of |
International journal of molecular sciences.. Basel : MDPI. 2022, vol. 23, iss. 9, art. no. 4649, p. 1-12.. ISSN 1661-6596. eISSN 1422-0067 |
Keywords [eng] |
indole ; inducible gene expression system ; L-tryptophan ; Pseudomonas putida ; whole-cell biosensor |
Abstract [eng] |
Indole is a biologically active compound naturally occurring in plants and some bacteria. It is an important specialty chemical that is used as a precursor by the pharmaceutical and chemical industries, as well as in agriculture. Recently, indole has been identified as an important signaling molecule for bacteria in the mammalian gut. The regulation of indole biosynthesis has been studied in several bacterial species. However, this has been limited by the lack of in vivo tools suitable for indole-producing species identification and monitoring. The genetically encoded biosensors have been shown to be useful for real-time quantitative metabolite analysis. This paper describes the identification and characterization of the indole-inducible system PpTrpI/PPP_RS00425 from Pseudomonas putida KT2440. Indole whole-cell biosensors based on Escherichia coli and Cupriavidus necator strains are developed and validated. The specificity and dynamics of biosensors in response to indole and its structurally similar derivatives are investigated. The gene expression system PpTrpI/PPP_RS00425 is shown to be specifically induced up to 639.6-fold by indole, exhibiting a linear response in the concen-tration range from approximately 0.4 to 5 mM. The results of this study form the basis for the use of whole-cell biosensors in indole metabolism-relevant bacterial species screening and characterization. |
Published |
Basel : MDPI |
Type |
Journal article |
Language |
English |
Publication date |
2022 |
CC license |
|