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Browsing by Subject "quorum sensing"

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  • Kaya, Meryem Ecem (2019)
    Synthetic biology is an emerging interdisciplinary field of biology that aims to system-atically design artificial biological systems. As synthetic biologists seek increasingly complex control over cellular processes to achieve robust and predictable systems. A new frontier in synthetic biology is engineering synthetic microbial consortia. This ap-proach employs the concept of division of labor, instead of introducing large genetic cir-cuitry to homogenous cell populations. In this approach, different cell types are assigned to execute a portion of the overall circuit. Each cell type communicates with their co-worker subpopulations to complete the circuit. The main advantage of this strategy is the reduced metabolic burden on each cell type. Thus, leading to more reliable and stable overall performance. In this work, to simplify cellular communication between the mem-bers of the consortium, we used the simple architecture of quorum sensing machinery. We constructed a toolbox that contains promoter, receptor and quorum sensing signal synthase genes along with fluorescent reporters. Using this toolbox, we constructed dif-ferent cell types that can be used in synthetic consortia forming various communication topologies. We characterized the constructed cell types individually and in co-cultures.
  • Mäkkylä, Heidi (2017)
    Bacteria can communicate with each other using phenomenon called quorum sensing (QS). In QS the bacteria produce and release small signaling molecules which they use to communicate. Bacteria use QS in situations where it is beneficial to act on population level. QS has an important role e.g. in the formation of virulence factors and biofilms. There are several different QS systems. Gram-negative bacteria use i.a AI-1, AI-2, AI-3, and CAI-1 systems to communicate. All QS systems are based on the accumulation of signaling molecules when the bacterial concentration increases. When the concentration of signal molecules reaches the threshold level, the system activates. The activation of the signaling system then activates the expression of the genes controlled by the QS system. AI-2 signaling is assumed to be universal. That means that bacteria can use AI-2 signaling system in interspecies communication. In AI-2 signaling bacteria produce and release 4,5-dihydroxy-2,3-pentanedione (DPD) which works as a signaling molecule in the AI-2 system. Escherichia coli and Salmonella typhimurium use an ATP binding cassette ABC-type transporter to transport DPD molecules into the cell where LsrK kinase phosphorylates the DPD molecules. The phosphorylated DPD molecules bind to the LsrR regulator protein which acts as a suppressor of the lsr operon. The binding of the phosphorylated DPD molecules releases the LsrR from the lsr promoter region enabling the expression of the lsr genes. In Vibrio harveyi the surface proteins LuxP and LuxQ form a protein complex that recognizes DPD molecules. When the DPD concentration increases, the LuxPQ complex transform from kinase to phosphatase and the reaction chain, where LuxU phosphate transfer protein transfers a phosphate group from LuxO regulator protein, activates. The dephosphorylation of of LuxO releases the LuxR transcription factor and activates the expression of QS controlled genes. The aim of this thesis was to optimize two assays which can be used to screen for compounds that disrupt AI-2 signaling. The first assay was a bioreporter based assay where V. harveyi BB120 bioreporter strain was used. The second assay was protein based LsrK assay where the LsrK activity was monitored using assay kit which measures the concentration of ATP or ADP. The concentrations of bacteria, LsrK, and DPD used in the assays were optimized. The dimethyl sulfoxide (DMSO) tolerance of both assays were tested, the stability of the kits used in the LsrK assays was tested and the reaction buffer for the LsrK assay was selected from the two tested buffer options. The selected bacterial concentration for the V. harveyi BB120 assay was 100000 CFU/ml and DPD concentration 1 µM. The selected enzyme concentration for the LsrK assay was 300 nM and DPD concentration 300 µM. The tested DMSO concentrations had no effect on the kit measuring ATP but the highest concentrations tested had a small effect on the kit measuring ADP. A buffer containing triethanolamine, magnesium chloride, and bovine serum albumin was selected as the reaction buffer for the LsrK assay. Using the optimized LsrK assay, a screening was performed for a synthesized compound library. None of the compounds showed any LsrK inhibiting activity. The optimized assay was also used to make dose-response experiment to one LsrK inhibiting compound, named FIMM000642, which was found in a separate screening. The FIMM000642 dose-response as-say was also done against glycerol kinase to see if the compound would inhibit another enzyme from the same protein family or if the compound was a specific inhibitor to LsrK. FIMM000642 inhibited also the activity of glycerol kinase.
  • Pitkänen, Katriina (2022)
    Bacteria coordinate the virulence factor production and biofilm formation by activating the mechanism of intercellular communication called quorum sensing (QS). The biofilm matrix protects bacteria against variety of stress conditions, including e.g., effects of antibiotics and disinfectants. QS inhibitors (QSI) are molecules that can inhibit the QS mechanism. QQ is a QSI inhibitor that interrupts the cell-to-cell signaling already outside of the bacterial cell. Dairy propionic acid bacteria have known antimicrobial properties but their ability to produce anti-QS compounds have not yet been studied. Previous studies have shown positive results of the anti-QS activity exerted by lactobacilli, but more research is needed to uncover mechanistic details behind their QS-inhibitory effects. The aim of this study was to investigate the anti-QS and QQ activity of propionic bacteria and lactobacilli. The used method was an in-house optimized screening method based on using wild-type and mutant strains of Chromobacterium violaceum. This bioreporter produces a QS-mediated, measurable color pigment. Here, the limit of potential QSI and QQ inhibition was set to 50 % inhibition. Viability of bioreporter was analyzed by resazurin staining. Propionibacterium freudenreichii strains demonstrated both the QSI (64–71%) and QQ (52–60%) activities against the tested C. violaceum reporters. In the case of lactobacilli, Lacticaseibacillus rhamnosus GG, Limosilactobacillus mucosae 2674, Lactobacillus acidophilus 80, Lactobacillus curvatus 453 and Lactobacillus kefiri 3070 inhibited the QS-activation of the wild-type bioreporter strain by 45 to 90 %. There was a great variability in the anti-QS screening assays involving the mutant strain, which may be explained by the possible sensitivity of the compounds to the analysis conditions used or more sensitive response of the mutant strain to the tested agents. In conclusion, the obtained results show that L. acidophilus 80 produced bactericidal compounds. L. reuteri 410 did not have any effect on the QS-indicator production in wild-type bioreporter but was able to inhibit QS-induction in the mutant reporter by 72% (QQ activity). This study showed that P. freudenreichii strains as well as certain lactobacilli have an ability to produce QSI and QQ activity against some gram-negative biofilm pathogens. Pathogens have different QS mechanisms and experiments with C. violaceum strains are only one way to screen for anti-QS compounds. Therefore, validation of the obtained findings requires complementary screening assays against other bacterial bioreporters, involving both gram-negative and gram-positive biofilm bacteria.