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Journal of Bacteriology, February 2003, p. 843-853, Vol. 185, No. 3
0021-9193/03/$08.00+0 DOI: 10.1128/JB.185.3.843-853.2003
Copyright © 2003, American Society for Microbiology. All Rights Reserved.
Microbiology and Tumorbiology Center, Karolinska Institutet, SE-17177 Stockholm,1 Swedish Institute for Infectious Disease Control, SE-17182 Solna, Sweden,4 Departamento de Genética Molecular, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, 04510 México D.F., Mexico,2 Department of Microbiology and Immunology, Emory University, Atlanta, Georgia 303223
Received 19 June 2002/ Accepted 5 November 2002
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In the prototypic model an environmental stimulus interacts with the N terminus of the membrane-anchored sensor protein, leading to autophosphorylation at a specific histidine residue. The sensor then acts as a kinase and transduces the phosphate group to an aspartate residue on the response regulator protein. This normally enables the regulator to control the transcription of a certain set of genes by sequence-specific DNA binding. Sequencing of the E. coli genome has identified approximately 60 sensor kinases and response regulators, most of which have been arranged in cognate pairs (25). In some cases the specific stimulus of the sensor as well as a set of genes under the control of the TCS has also been identified (14, 20).
Hybrid sensor proteins have a more complex architecture and function. Following the initial autophosphorylation of the histidine residue, the phosphate group may be transferred to a second histidine residue in another domain (HPt) of the sensor protein via an aspartate residue, before being relayed to the regulator protein. The reason for such hybrid sensors is unclear, although they may allow for additional modulation of the signal transduction to the regulator protein or for the ability to regulate different pathways (10, 15, 24).
The hybrid sensor BarA (also called AirS) was first identified by its ability to activate the OmpR response regulator (28). As this effect could only be observed with high-copy-number expression of BarA, it was not believed to be a physiologically relevant function (28). We have recently reported biochemical and genetic evidence demonstrating that the previously orphan BarA sensor protein forms a TCS with the UvrY response regulator protein (30). UvrY resembles a typical response regulator protein of the FixJ family but had no assigned function in the cell. It derives its name from the close linkage on a bicistronic mRNA with the uvrC gene, although mutations in uvrY have no effect on the UV-light-induced DNA repair system (26). Other work has suggested that one target gene downstream of BarA is the alternative sigma factor rpoS, but the physiological context and the nature of the external stimuli still remain elusive (27). TCSs orthologous to BarA-UvrY in other pathogenic gram-negative bacteria, such as ExpS-ExpA in Erwinia spp. and GacS-GacA in Pseudomonas spp., have a clear link to genes encoding secreted products which are involved in the virulence of the bacteria (19, 30). Moreover, mutations in the uvrY homologues varA (Vibrio spp.) and sirA (Salmonella spp.) lead to decreased virulence in an infant mouse and a bovine intestinal infection model, respectively (2, 41). This fact and the previously suggested coupling between BarA and iron availability during urinary tract infections (42) encouraged us to analyze the phenotypes of mutations in the Bar TCS in uropathogenic Escherichia coli.
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TABLE 1. Bacterial strains and plasmids used in this study
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To estimate the amount of CFU, samples of 100 µl were withdrawn from the cultures at the indicated time intervals, subjected to appropriate dilution in phosphate-buffered saline, and plated on LB plates using glass beads. To determine the relative ratio of mutant versus wild type, two approaches were used, both of which yielded similar results. Either approximately 100 individual colonies from the LB plates were restreaked onto selective plates or the dilutions were plated on both LB plates without antibiotics and LB plates containing the appropriate antibiotic.
CAS assays. Chrome Azurol S (CAS) agar plates were made using the protocol of Schwyn and Neilands (34) with modifications according to Fiss and Brooks (13), which can be summarized as follows: 700 ml of basal CAS medium [0.3 g of KH2PO4, 0.5 g of NaCl, 1.0 g of NH4Cl, 30.2 g of piperazine-N,N'-bis(2-ethanesulfonic acid) (PIPES) (pH 6.8), 5 g of L-asparagine, and 15 g of agar per liter] was autoclaved, and 280 ml of the plate CAS indicator solution (34) was added slowly, followed by the addition of 20 ml of sterile glycerol. Bacteria were grown overnight in LB at 37°C with shaking and were reinoculated 1:100. At an optical density (A590) of 0.15, the iron chelator desferrioxamine was added to a final concentration of 500 µM. The cultures were grown until stationary phase, and samples of 100 µl were withdrawn, subjected to appropriate dilutions in phosphate-buffered saline, and plated onto CAS-containing agar plates that were incubated at 30°C for 2 days. The yellow zone around the colonies, indicating siderophore production, was measured.
The fluid CAS assay was conducted according to the method of Schwyn and Neilands (34) with minor modifications. The fluid CAS indicator shuttle solution was made by adding a mixture of 1.5 ml of 1 mM FeCl3 · 6H2O in 10 mM HCl and 7.5 ml of 2 mM CAS with vigorous stirring into a 100-ml flask containing 6 ml of 10 mM hexadecyltrimethyl ammonium bromide. In a 50-ml Falcon tube, 2.1 g of anhydrous piperazine was dissolved in 10 ml of distilled water, into which approximately 3.1 ml of 12 M HCl was slowly added to obtain a pH of 5.6, and this was added to the above-mentioned 100-ml flask. The final volume was adjusted to 100 ml using distilled water, and finally 0.1 g of 5-sulfosalicylic acid was added. Bacteria were grown overnight at 37°C with shaking in M9 minimal medium with 0.2% (wt/vol) glucose and were reinoculated 1:100. The optical density (A590) was monitored, and 500-µl aliquots were withdrawn at the indicated time point and centrifuged at 220 x g for 5 min. Equal volumes of culture supernatant and fresh CAS indicator shuttle solution were mixed in 96-well plates and left for 60 min at room temperature with shaking. The negative control consisted of a parallel tube with no bacteria inoculated. Siderophore production was assayed by measuring A620 in an iEMS reader (Labsystems OY, Vantaa, Finland). The A620 shown in graphs has been calculated as follows: A620(CAS indicator shuttle solution and M9 minimal medium) - A620(CAS indicator shuttle solution and the bacterial supernatant).
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Mutants in the Bar TCS take over in a competition with the wild type in LB. Some defects in fitness might not be detected by monitoring the growth of single cultures. A more discriminatory method is competition between mutant and wild-type strains during extended growth of batch cultures. The mutant (barA or uvrY) and isogenic wild-type J96 or DS17 strains were grown individually into the mid-exponential phase in LB, and then equal numbers of cells were mixed in an aerated glass flask and left to shake at 37°C for several days (in triplicate). Samples were collected at different time intervals to quantify the number of wild-type and mutant cells. Under this condition, the barA mutant, as well as the uvrY mutant, outcompeted the wild-type strain. With the J96 strain it took approximately 4 days from the start of the competition for either mutant to predominate in the culture (>90% of total bacteria), but with the DS17 strain we could observe this takeover already on the second day (Fig. 1a to d). It should however be noted that individual cultures of mutant (barA or uvrY) and wild-type J96 or DS17 strains all exhibited similar long-term survival patterns, as demonstrated by equal numbers of CFU, when they were grown in LB for 10 days (Fig. 1e).
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FIG. 1. Mutants take over in long-term competition cultures in LB. Exponentially growing individual cultures in LB of the mutant and its isogenic wild type were mixed 1:1 and split into three flasks, and the resultant cultures were tested for a period of several days for the relative percentages of mutant and wild-type cells. (a) J96 wild type versus J96 (barA); (b) J96 wild type versus J96 (uvrY); (c) DS17 wild type versus DS17 (barA); (d) DS17 wild type versus DS17 (uvrY). Graphs to the left show the relative percentage of mutant (, , and ) and wild type ( , , and ) in the mixed cultures. Graphs to the right show CFU (108 bacteria/ml) from the same experiments. Other experiments showed that mutants maintain their dominance during longer cultivation periods [30 days with DS17 wild type versus DS17 (uvrY)]. (e) Individual cultures of wild type and mutants have similar long-term survival patterns. Graphs show CFU (108 bacteria/ml) from individual cultures grown in triplicate in LB for 10 days. To the left DS17 wild type ( ), DS17 (barA) (), and DS17 (uvrY) ( ) are shown, and to the right J96 wild type ( ), J96 (barA) (), and J96 (uvrY) ( ) are shown. Note that cultures already had surpassed their maximal density when the day 1 samples were taken (Fig. 3).
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FIG. 2. (a) Mutants take over when inoculated as a minority. Exponentially growing individual cultures in LB of the mutant and its isogenic wild-type parent strain were mixed in a 1:9 ratio in four different competition cultures. The resultant cultures were tested for a period of several days for the relative percentage of mutant and wild type. Graphs show only the percentage of the mutants from each competition mixture: J96 (barA) ( ) J96 (uvrY) (), DS17 (barA) ( ), and DS17 (uvrY) ( ). (b) The growth advantage is directly linked to the BarA-UvrY TCS. Exponentially growing individual cultures in LB of J96 wild type and J96 (uvrY) were mixed 1:1 and competed in two separate experiments over a period of several days. In the first experiment both competing strains harbored a plasmid carrying a wild-type uvrY gene [J96 (uvrY)/pUvrY versus J96 wild type/pUvrY] ( ), and in the second experiment both competing strains carried the same plasmid with a mutated uvrY gene [J96 (uvrY)/pUvrY-mut versus J96 wild type/pUvrY-mut] ( ). Only the relative percentage for the plasmid-containing J96 (uvrY) is shown for each experiment.
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The takeover of the mutants coincides with the lysis of the primary cultures. The observed difference in the ratios of wild type and mutant in the competition experiments may derive from different abilities to use the prevalent food source but may also reflect different rates by which different bacteria undergo lysis after entry into stationary phase. By monitoring the growth kinetics and the CFU of individual cultures of the DS17 wild type and its barA and uvrY mutant derivatives during the first 24 h, we did not observe any significant difference in the killing-off profiles (Fig. 3a). In the competition experiments seen in Fig. 1, it seems as if the mutants, but not the wild type, increase in numbers following the initial killing off. The killing off is a result of massive lysis which provides a good source of carbon for the survivors, mostly in the form of free amino acids (43). A more detailed analysis of the first 24 h of our competition experiment also showed that the mutants start to dominate the cultures around 20 h after mixing, at a point of time when the killing off of the cultures has just started (Fig. 3b), suggesting that the mutants are better at metabolizing this carbon source. We next performed a competition experiment using two individual DS17 cultures, one wild type and the other a uvrY mutant, both of which had been grown well into stationary phase for 2 days before mixing them in equal volumes. The uvrY mutant could still clearly take over the cultures, supporting the hypothesis that the advantage of the mutants lies in being better able to metabolize the existing carbon source of the exhausted cultures (i.e., amino acids). It should also be pointed out that the wild type and mutant were in a 1:1 ratio at the start of this competition experiment, again showing that there is no difference in the killing-off profiles of the wild type and mutant (Fig. 3c).
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FIG. 3. (a) Wild type and mutants have the same killing-off profiles. DS17 wild type ( ), DS17 (barA) ( ), and DS17 (uvrY) ( ) were grown as individual cultures in LB for 24 h. The density of the bacteria was monitored by A590 (left). CFU from the same experiments (right) are shown for DS17 wild type ( ), DS17 (barA) ( ), and DS17 (uvrY) ( ). (b) The takeover of the mutants coincides with the lysis of the primary cultures. Exponentially growing individual cultures of mutants and wild type in LB were mixed at an A590 of 0.3 in a 1:1 ratio, and the resultant cultures were tested over a period of 24 h for the relative percentages of mutant and wild type. The graphs show the relative percentages (left) of DS17 wild type versus DS17 (barA) () and DS17 wild type versus DS17 (uvrY) ( ). Total CFU (108 bacteria/ml) (right) from the same competition mixtures. (c) The mutant takes over in a competition between two stationary-phase cultures. DS17 wild type and DS17 (uvrY) were grown for 2 days as individual cultures in LB and then mixed in equal volumes, after which the relative percentage was determined in the mixed culture for a period of several days. The graph shows the percentage of DS17 (uvrY) in the mixed culture.
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FIG. 4. Competition in minimal medium with different carbon sources and in Kornberg medium. Exponentially growing individual cultures of DS17 (uvrY) and DS17 wild type in the indicated media were mixed 1:1, and the resultant culture was tested for a period of several days for the relative percentage of mutant and wild type. (a) M9 minimal medium supplemented with tryptone (24 g/liter) ( ), Casamino Acids (24 g/liter) ( ), or yeast extract (24 g/liter) (+). (b) M9 minimal medium complemented with 0.5% (wt/vol) glucose. (c) M9 minimal medium complemented with 50 mM acetate ( ), 50 mM pyruvate (), 50 mM fumarate (+), or 50 mM glycerol ( ). (d) Kornberg medium buffered with potassium phosphate (pH = 6.8) with 0.5% (wt/vol) glucose () and without glucose ( ). (e) Kornberg medium buffered with AMPSO (pH = 9.0) with 0.5% (wt/vol) glucose () and without glucose ( ). Graphs show the relative percentage of DS17 (uvrY) in the mixed culture, and the data are from one of several representative experiments. *, culture in glycerol died after day 6.
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Role of pH in the outcome of competition. We also monitored the pH of competition cultures growing in different media, to see if there was a correlation with the ability of the wild type and the mutants to compete. The pH of the acetate, fumarate and pyruvate cultures moderately increased from being neutral to a slightly basic value, whereas the pH of the glycerol and glucose cultures dropped to an acidic pH (Table 2), thus suggesting that the observed effects could be linked to the pH. If the pH value were the single determinant for the outcome of the competition, we would expect the identical takeover profile in different carbon sources at any given pH. Using a phosphate-buffered yeast extract medium (Kornberg medium) we could maintain the same neutral pH with or without glucose in the medium (Table 2). Still the wild type could take over in the glucose culture during the first 4 days, but this could not be seen in the competition without glucose (Fig. 4d). We also repeated this experiment in the same medium buffered to a basic pH using the AMPSO buffer. Here the wild type could never clearly take over the glucose culture, although the takeover of the mutant was clearly delayed compared with the nonglucose culture (Fig. 4e), demonstrating that pH does have an effect but is not the single factor determining the outcome of the competition.
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TABLE 2. pH in competition culturesa
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FIG. 5. The Bar TCS regulates the Csr system. (a) E. coli MG1655 mutants outcompete the wild type. Exponentially growing individual cultures of MG1655 (uvrY) ( ) or MG1655 (barA) ( ) and MG1655 wild type in LB were mixed 1:1, and the resultant cultures were tested for a period of several days for the relative percentage of mutant and wild type. (b) The takeover is not due to secondary mutations. An isolate of MG1655 (uvrY) ( ) from a 10-day competition culture (from panel a) was used in a recompetition with the original MG1655 wild type. (c) The MG1655 (csrB) ( ) takes over when competed with MG1655 wild type in LB. (d) The MG1655 (csrB barA) ( ) takes over when competed with MG1655 wild type in LB. (e) The MG1655 (csrB) ( ) takes over when competed with MG1655 (barA) in LB. (f) The MG1655 wild type takes over when competed with MG1655 (csrB) ( ) using 0.5% glucose in Kornberg medium.
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FIG. 6. Siderophore levels are similar in mutant and wild type. Individual cultures of J96 wild type, J96 (uvrY), and J96 (barA) were grown in minimal media with 0.2% glucose over a period of several days. Samples were harvested at different time points after entry into stationary phase (0 h). The amount of secreted siderophores was measured by the CAS fluid assay in the supernatant as A620. Data are from one of several representative experiments with parallel plates. Error bars indicate standard deviation between the plates in one experiment. (a) J96 wild type (open bars) and J96 (barA) (filled bars); (b) J96 wild type (open bars) and J96 (uvrY) (striped bars).
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The Bar TCS regulates the Csr system. From these results we propose a model where the BarA-UvrY TCS regulates the metabolic pathways of carbon metabolism via the CsrA/CsrB regulatory system, by positively controlling the expression of the untranslated CsrB RNA (Fig. 7). It is known that higher levels of CsrB RNA will lead to sequestration of the CsrA protein, an RNA binding protein. The CsrA protein in turn balances the carbon flow in the cell by activating the expression of genes of the glycolysis and by repressing the genes involved in gluconeogenesis, in a posttranscriptional manner (32, 33).
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FIG. 7. Model for regulation of carbon metabolism via the BarA-UvrY TCS. Stimulation of the inner-membrane-bound tripartite BarA histidine sensor kinase by an unknown stimulus leads to phosphorylation of the cognate UvrY response regulator. The phosphorylated UvrY regulator acts positively on the transcription of the csrB gene. Increased levels of the untranslated csrB RNA lead to sequestration of free CsrA protein molecules and force the equilibrium between bound and nonbound CsrA to the left. In a typical cell it has been estimated that 16 to 32% of the CsrA protein is bound to csrB (17). Free CsrA protein has the indicated effects on the carbon metabolism by posttranscriptional regulation (32). Our results imply the importance of this TCS for growth in media where the bacteria could benefit from rapid switches between different types of carbon sources. CsrA has been shown to activate (+), to repress (-), or not to affect (0) the indicated genes. Abbreviations: OM, outer membrane; IM, inner membrane.
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In Salmonella the csrA, csrB, barA, and sirA genes have been reported to be involved in invasion, suggesting a genetic link between these systems (3, 4). The proposed link between BarA-UvrY and the Csr system also agrees well with two recent publicationsone showing that several UvrY homologues can control flagellar gene expression (16) and the other showing that the Csr system in E. coli has a similar function (40).
The results from our competitions are also influenced by the pH of the culture, as may be inevitable considering the importance of pH for the metabolism of a cell. One crucial factor is that uptake and utilization of different carbon sources vary with the pH, for example glucose utilization proteins are down-regulated at a high pH and up-regulated at a low pH (6), which could explain the inability of the wild type to outcompete the mutant in the glycolytic medium at pH 9. The results do not imply that pH is the sole reason why competitions in different carbon sources give different outcomes. We could always observe a clear effect of the carbon source itself in our experiments, no matter what the pH was, and we see no evidence that pH acts via the BarA-UvrY system.
Another confounding factor in this type of competition studies is the secretion of secondary metabolites into the cultures, which themselves could serve as carbon sources at later stages of the culture. This may, together with the pH, explain the apparently irregular takeover profiles we observed in some of our experiments.
The Bar TCS facilitates switching between different carbon sources. This model implies that a cell without a functional BarA-UvrY two-component system will not have the same flexibility to switch between different metabolic pathways. Even in media containing a single glycolytic carbon source, such as glucose, different metabolic pathways will be employed during the growth of a long-term bacterial batch culture. Initially, glucose will be metabolized via glycolysis. As levels of glucose decrease, the bacterium will start to metabolize products of glycolysis that have accumulated in the medium, such as acetate and alpha-keto acids (36). When these carbon sources have been depleted, metabolism will rely on carbon sources from lysed bacteria, primarily consisting of amino acids. As between 90 and 99% of the bacteria will die soon after entry into the stationary phase, the amino acids will soon constitute a major carbon source for de novo synthesis (43). This model agrees well with our results of the wild type taking over the mixed cultures based on glycolytic carbon sources.
It is less obvious why the barA and uvrY mutants take over the competition cultures in media with gluconeogenic carbon sources. One reason could be that they are defective in shifting between metabolic pathways, which would not be needed during these long-term cultivations, since energy is provided by carbon sources directly fuelling the Krebs cycle. It has also been demonstrated that under certain conditions CsrA affects amino acid uptake (39). Another reason could be that the relative down-regulation of gluconeogenic enzymes in the mutants, via the Csr system, confers a growth advantage for the mutants, as these pathways would be of less importance and rather be a burden for the wild-type bacteria. Our results are also supported by earlier work showing that mutations conferring an enhanced amino acid catabolism will gain a growth advantage in stationary phase (43) (see below). In Pseudomonas the genes encoding the Gac TCS have been observed to be targets for spontaneous mutations that lead to an apparent growth advantage in rich media (19), an effect which is eliminated by the addition of low concentrations of certain divalent ions to the growth medium (12). We have tested similar additions of ions without observing any effect on the survival of our mutants (data not shown).
Bar TCS and the GASP phenotype. The original carbon source will eventually become depleted in long-term cultures, and the residual growth will then be based on amino acids derived from lysed bacteria. We would thus expect a takeover of the mutants in all cultures if they were allowed to continue for this length of time. This picture is, however, complicated by the fact that it may take a very long time for the mutant to resume domination of the culture if it has been strongly diminished in numbers during the initial competition. Another confounding factor is the occurrence of spontaneous mutants with a growth advantage in stationary phase (GASPs), which have been described to arise in such extended cultures with a frequency of one new GASP approximately every 7 days (43). It is, however, very unlikely that our results should be explained by such spontaneous mutations in the culture, given that our recompetitions exhibited similar takeover profiles as the original competition. We could also observe a similar takeover in several parallel cultures.
Intriguingly, some of these GASP mutations were mapped to the genes encoding stationary-phase sigma factor RpoS and the leucine-responsive protein (44). Both of these are key regulators of metabolic functions in the cell, and the increased fitness of some mutants was explained by the enhanced ability to catabolize amino acids from lysed bacteria.
Physiological role of Bar TCS. TCSs orthologous to BarA-UvrY in other pathogenic gram-negative bacteria have been shown to be involved in the regulation of virulence traits (19, 30). This fact and the previously suggested coupling between BarA and urinary tract infections (42) suggested to us that the capability of switching between different carbon sources could give the bacteria a higher fitness in urine. Urine contains several possible carbon sources, which may vary substantially between different samples (8). Moreover, during cystitis the bacteria will encounter a continuous supply of fresh urine, implying the importance of being able to sense the existing carbon source. Preliminary results in urine culture, in which we allowed the DS17 uvrY mutant and wild type to compete for 8 days, showed that the uvrY mutant initially exhibited a slight growth advantage, but after a few days the wild type predominated in the culture.
We previously observed an apparent increase in the siderophore levels on a plate CAS assay in the presence of overexpressed UvrY regulator protein in the K-12 strain MC4100 (31), but in the present work, using the fluid CAS assay, we could not detect such a difference. Our previous result (31) could be explained by the Bar TCS acting on the Csr system. The availability of the siderophore precursor chorismate may differ in these assays, supported by a recent study showing that CsrA controls central carbon flux into the aromatic pathway (37). It is also important to note that carbon sources and growth modes differ between the plate CAS assay (glycerol) and the fluid CAS assay (minimal medium with glucose).
Stimulus of the Bar TCS. The physiological stimulus of the sensor has so far not been identified for BarA or any of the orthologous TCSs. It has been suggested that one common denominator is the sensing of the host organism by the bacteria during an infection, as many of the target genes encode secreted proteins involved in the pathogenesis (19, 30). Our results, however, show this system is active in the absence of cell attachment and in the absence of any host organism. From our data, we would prefer to speculate that the BarA sensor could monitor some metabolic product that is representative of the prevalent energy status in the medium. The ability to determine the available carbon sources combined with a rapid modulation of the major energy-generating metabolic pathways certainly would be a key factor for a successful bacterial adaptation and survival. However, this does not exclude attachment to a host cell as a triggering event, since attachment could well create a microenvironment with an increased concentration of the stimulus in a quorum-sensing mode.
We thank rotation student Peter Kjäll for assistance.
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