Abstract
This study will demonstrate the use of the ATCC Vibrio campbellii Panel (ATCC MP-6) as a nonpathogenic model for AI-2-based quorum sensing pathways.
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In many prokaryotes, cooperative behaviors are regulated through a density-dependent, signal-mediated communication system termed quorum sensing (QS)1 When a bacterial population reaches a critical threshold, autoinducer signaling molecules (AI) specifically bind to a cognate regulatory protein or activate a 2-component signal transduction system, leading to the regulation of group behaviors. In the marine organism Vibrio campbellii, AI signals (AI-1 and AI-2) and cognate regulators are used to regulate bioluminescence1 (Figure 1). Since its discovery, AI-2 has proven ubiquitous within interspecies and intraspecies communication, including that of pathogenic microorganisms.2 Here, we show a panel of 9 V. campbellii strains displaying wild-type or varying mutational phenotypes for use as a nonpathogenic model in the analysis of AI-2-based QS systems.
Materials and methods
Nine V. campbellii strains were phenotypically analyzed for QS proficiency by monitoring the bioluminescence production of genotypically diverse strains that were plated together in pairs on Autoinducer Bioassay Medium.1,3-6
Results and discussion
Upon analysis of paired strains, it was determined that bioluminescence could be restored in strains lacking regulator and/or AI production if the adjacent strain was proficient in that characteristic (Figure 2A-C, Table 1). Bioluminescence could not be restored in strains lacking part of the luxCDABE operon, which encodes for bioluminescence (Figure 1, Figure 2D, Table 1).
Figure 1. Quorum sensing
Figure 2. Bioluminescence
Table 1. ATCC Vibrio campbellii panel. (ATCC MP-6)
Autoinducers | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|
1+, 2+ | 1+, 2+ | 1+, 2+ | 1+, 2+ | 1+, 2+ | 1-, 2+ | 1+, 2- | 1+, 2- | 1-, 2- | ||
Sensors | ATCC number | 700104 | 700106 | BAA-1116 | BAA-1117 | BAA-1118 | BAA-1119 | BAA-1120 | BAA-1121 | BAA-2363 |
luxA- | 700104 | - | - | - | - | - | - | - | - | - |
1+ , 2- | 700106 | + | + | + | + | + | + | + | + | + |
1+ , 2+ | BAA-1116 | + | + | + | + | + | + | + | + | + |
1- , 2+ | BAA-1117 | + | + | + | + | + | + | + | + | + |
1+ , 2- | BAA-1118 | + | + | + | + | + | + | + | + | + |
1- , 2+ | BAA-1119 | + | + | + | + | + | + | + | + | + |
1+ , 2+ | BAA-1120 | + | + | + | + | + | + | + | + | + |
1- , 2+ | BAA-1121 | + | + | + | + | + | + | - | - | - |
1+ , 2+ | BAA-2363 | + | + | + | + | + | - | - | - | - |
Sensor 1 = LuxN; Sensor 2 = LuxQ; Autoinducer 1 = AI-1; Autoinducer 1 AI-2; (+) = Light observed; (-) = No light observed.
Conclusion
The characterization of these V. campbellii strains illustrates that ATCC MP-6 is well suited as a nonpathogenic model for the analysis of AI-2-based, 2-component regulatory QS pathways.
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