Difference between revisions of "Part:BBa K581004"

 
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We selected an AHL-based quorum-sensing system, RhlR-RhlI pair from ''Pseudomonas aeruginosa'' as a proof of concept to design quorum sensing repressible promoter. RhlI is a synthase that produces signal molecule butanoyl (C4-HSL) and RhlR is the regulator that responds to C4-HSL and is supposed to activate transcription at cognate rhl promoter. Genetic evidence suggests that RhlR binds to conserved sequence of some quorum-controlled promoters, what is called rhl box.
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== Background ==
We selected rhl-box in the promoter region of rhl-specific gene rhlA, to which LasR (another transcriptional regulator in Pseudomonas aeruginosa) doesn’t bind, and then created the rhl repressible promoter by positioning the rhl-box between and partially overlapping consensus -35 and -10 hexamers with 18 bp between the hexamers. When C4-HSL represents and binds to RhlR proteins, RhlR will bind to its DNA binding site, the rhl box, thus to reduce the accessibility of RNA polymerases to this promoter, repressing the transcription initiation.
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<center>[[image:nn1.png|400px]]</center>
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PtsG2 is the C87G mutant of ptsG(wt) and the conjugate part of SgrS2 in our comparator device.
  
<center>''Figure 1: Building artificial lacZ promoter with rhl-box.''</center>
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PtsG is a glucose permease which is subordinate to phosphotransferase system and serves as a transporter. Here,we studied this mRNA perform the conjugate part of the small RNA regulator sgrS(wt). A 31-nt-long stretch in the 3’ region of SgrS is partially complementary to the translation initiation region of ptsG mRNA, and a 6 nt region overlapping the Shine-Dalgarno sequence of the target mRNA turns out to be crucial for SgrS’ function. When imperfect base-pairing interactions between ptsG and SgrS occurs and this critical region is involved, ptsG's expression is repressed.(See Fig.1).
  
<center>[[image:NN10.png|450px]]</center>
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<center>[[image:123.png|600px]]</center>
  
''Figure 2: The mechanism of AHL repressible promoter. (A) RNA polymerase functions well when AHL signal is absent. (B) When AHL presents and binds to transcriptional regulator, the transcription regulator binds its DNA binding site, thus to reduce the accessibility of RNA polymerase to promoter, repressing the transcription initiation.''
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<center>''Fig. 1 Sequence alignment of wildtype ptsG/SgrS pair and its mutant complementary pairs.''</center>
  
 +
Teppei Morita et.al’ s work suggests that two mutations (C85G and C87G) in ptsG mRNA could completely impair the ability of SgrS to downregulate its expression, while compensatory mutations of SgrS (G178C and G176C) restore the gene silencing ability. These results indicate that it is the base pairing of the two RNAs rather than particular nucleotides that is important for SgrS action. They have also illustrated that sequence outside this region, even though complementary, is rather dispensable for the efficient silencing (Kawamoto et al., 2006). This makes mutant ptsG/SgrS pairs orthogonal to genetic context of the host cell. Therefore we choose this couple of conjugate mRNA/sRNA as the foundation of our comparator device design, and ptsG2 is one mutant of ptsG(wt) utilized in our system(See Fig.2).
  
A GFP reporter with C-terminus fused ssrA degredation tag was used to report the transcriptional activity at the promoters. The rhl-box promoter-GFP ssrA was then cloned into pSB4A5 backbone and the BBa_J23106 (constitutive promoter)-rhlR- BBa_B0015 (terminator) into pSB1K3.
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<center>[[image:22.png|600px]]</center>
  
<center>[[image:nn2.png|440px]]</center>
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<center>''Fig. 2 Sequence alignment of ptsG2/SgrS2 pair.''</center>
  
<center>''Figure 3: The genetic construction of rhl repressible promoter-rhlR system used for characterization.''</center>
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By employing two sets of mutant ptsG mRNA as well as its complementary SgrS in the design shown in Fig 1, we set to biologically implement the comparator. In detail, ptsG1 refers to a C85G mutant of ptsG (wt) while ptsG2 is a C87G mutant. SgrS1 (G178C) and SgrS2 (G176C) are the corresponding revertants which could help restore their complementarity. And as a proof-of-concept experiment, we constructed synthetic gene circuits, in which the 5’ untranslated region of ptsG mRNA was translationally fused to the coding sequence of the reporter gfp (Levine et al., 2007), as shown in Fig 3.
  
To evaluate the properties of rhl repressible promoter, we applied dose response assay and time dependence assay. In these assays GFP intensity was measured to quatitatively evaluate the promoter acitivity by Tecan Microplate Reader with excitation wavelength at 470nm and emission wavelength at 509nm. A black 96-well plate was used to minimize the interference of different well. OD 600 was also measured by Tecan Microplate Reader in a transparent 96-well plate.
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<center>[[Image:Q Induce ptsG.png|400px]]</center>
  
 +
<center>[[Image:Q Induce SgrS.png‎|400px]]</center>
  
'''Dose response assay'''
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''Fig. 3 The modular components of the comparator.'' ''(A) Salicylate leads to the transcription of ptsG-gfp mRNA, which is the target of constitutively expressed SgrS. This is how we implemented both reporting and repressing outputs as a result of the activation of Psal. When there is more salicylate in the media, the GFP fluorescence intensity is expected to be stronger. (B) Salicylate leads to the transcription of SgrS, while the ptsG-gfp mRNA is downstream a constitutive promoter. In this scenario, as the concentration of salicylate increases, the repression effect SgrS exerts on ptsG would in turn be stronger, so the GFP fluorescence intensity is supposed to be weaker.''
  
An overnight culture of bacteria grown in LB with ampicillin and kanamycin at 37°C was reactivated by diluting the culture in a ratio of 1:1000 with fresh LB. The LB we used was pre-mixed with different dose of C4-HSL and its final concentration varied from 0 to 1mM/1μM. When OD600 reached 0.6-0.8, pellet bacterial cells by 4 min centrifugation at 4000 rpm, discard the supernatant. Resuspend the pelleted cells in 500 μl of PBS, and then pippete 200uL of bacterial resuspention into each well of 96-well plate.
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Furthermore, as a proof-of-concept experiment, we constructed synthetic gene circuits, in which the 5’ untranslated region of ptsG mRNA was translationally fused to the coding sequence of the reporter gfp. The fluorescence intensity of GFP could reflect the repression effect that SgrS exerts on ptsG.
  
<center>[[image:nn7.png|300px]]</center>
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== Experimental Data ==
  
<center>''Figure 4: Repression effect of previous transcription activators at rhl repressible promoter under a gradient of C4-HSL concentrations.''</center>
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To qualitatively and quantitatively characterize the specifity of ptsG2/SgrS interaction, we conducted the following experiments.  
  
Figure 4 shows repression of GFP expression in circuits depicted in Fig 2 under gradient concentrations of C4-HSL, which indicates that the activity of rhl repressible promoter was C4-HSL dependent, with strongest repression at 5*10^-4 M of C4-HSL.
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'''Part I. The Orthogonal Silencing Matrix'''
  
 +
The repression capacity of each ptsG/SgrS pair was indicated by the ratio of the average fluorescence intensity before to after the trigger of SgrS. What we expected was a significant repression within the cognate pairs (ptsG1/SgrS1, ptsG2/SgrS2, and ptsG (wt)/SgrS (wt)), and a minor repression folds among different pairs.
  
Quantitative analysis was also conducted. As shown in the following figure and table, the dose response curve represents as a hill function and the decrease of transcription activity at promoter was approximate 20-fold.
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As Figure 4 shows, the highest ratio lie at the diagonal from the upper left to the lower right as expected, which is 5 to 6 folds. As for the ptsG (wt)/SgrS1&2, ptsG1/SgrS (wt), and ptsG2/SgrS (wt), given that these crosses differ at only one base pair, the repression efficacy is around 3 folds. By contrast, the inhibiting effect of on ptsG2 and SgrS2 on ptsG1 is rather unapparent, which can be seen as an appropriate characteristic fitting our competitor requirements.
  
<center>[[image:nn3.png|440px]]</center>
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The original data also provided below (Table 1).
  
''Figure 5: Fold repression of GFP/OD expressed by rhl repressible promoter on C4-HSL signal concentrations. In this experiment, GFP expression in E. coli containing pSB1K3 and pSB4A5 was measured at a series of concentrations of C4-HSL. The fold induction of GFP/OD is expressed as the percentage of expression in the absence of C4-HSL. Error bars correspond to the standard deviation from multiple measurements.''
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<center>[[Image:Matrix.jpg]]</center>
  
<center>'''Table 1: The parameters of Hill function fitting'''</center>
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''Fig. 4 A graphical representation of the repression matrix associated with SgrS and its mutants, and ptsG and its mutants. The values represent the repression ratios, defined as the repression capacity of each ptsG/SgrS pair, denoted by the ratio of fluorescence intensity before to after the induction of SgrS, suggesting within-subgroup pairwise specificity.''  
  
<center>[[image:nn6.png|440px]]</center>
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<center>''Table 1. Original Data for ptsG2/sgrS Interaction Matrix''</center>
   
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Therefore, we have demonstrated that the AHL repressible promoter with rhl-box owes the ability to convert transcriptional activator rhlR into repressor.
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 +
<center>[[Image:222.png|400px]]</center>
  
'''Time dependence assay'''
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'''Part II. The Response Curve'''
  
An overnight culture of grown in LB with ampicillin and kanamycin at 37°C was reactivated by diluting the culture in a ratio of 1:1000 with fresh LB. When OD600 reached 0.4, the bacteria was disposed to several EP tubes, each owning 500uL, and C4-HSL was supplied with 3 duplicates and the final concentration was 1mM. We cultured the fluorescence in EP tubes with 0.25, 0.5, 0.75, 1, 2, 3, 4, 5, 6, 7, 8 hours at 37°C. Then pellet bacterial cells by 4 min centrifugation at 4000 rpm, discard the supernatant. Resuspend the pelleted cells in 500 μl of PBS, and then pippete 200uL of bacterial resuspention into each well of 96-well plate.
+
The sRNA-mediated gene silencing can be formulated quantitatively via a simple kinetic model. The model is cast in terms of two mass-action equations for the cellular concentrations of the sRNA (s) and its target mRNA (m):
  
The results of the assay are displayed below.
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<center>[[Image:M Model.png|240px]]</center>
  
<center>[[image:nn8.png|420px]][[image:nn4.png|400px]]</center>
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The parameters are defined as in Table 2.
  
''Figure 6: Time dependence of AHL mediated repression at rhl repressible promoter under 1mM of C4-HSL . (A) GFP/OD; (B) fold repression of GFP/OD. Error bars correspond to the standard deviation from multiple measurements.''
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<center>''Table 2. Model Parameters: Definitions and Estimated Values''</center>
  
 +
<center>[[Image:Table 2.png|400px]]</center>
  
Noting that the GFP expression intensity was reduced from 100% to 10% in merely 2-3 hours, we were delighted by the dramatic repression performance of quorum sensing repressors. The time dependence assay provides further promising clues towards the expansion of our quorum sensing repressor design to more QS systems.
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Levine et. al’s work has revealed that in the idealized scenario when binding between sRNA and mRNA occurs extremely rapidly, gene expression is completely silenced if the target transcription rate is below a threshold. Above this threshold, gene expression will increase linearly. Such threshold-linear model is based on the difference of transcription rates between sRNA and mRNA(Levine et al., 2007)(see Fig.5).
  
 +
<center>[[Image:x.png|600px]]</center>
  
== Reference ==
+
<center>[[Image:y.png|600px]]</center>
  
 +
''Fig. 5 Predicted response curve of a target gene. (a) The red line depicts the idealized threshold-linear mode of regulation in which gene expression is completely silenced if the SgrS transcription rate exceeds a threshold set by the transcription rate of the ptsG-gfp mRNA. Under this threshold, gene expression decreases linearly with the difference between the mRNA and sRNA transcription rates. (b) The red line depicts the idealized threshold-linear mode of regulation in which gene expression is completely silenced if the ptsG-gfp mRNA transcription rate is below a threshold set by the transcription rate of the sRNA. Above this threshold, gene expression increases linearly with the difference between the mRNA and sRNA transcription rates. The idealized scenario is expected when binding between sRNA and mRNA occurs extremely rapidly. The blue line is the actual response expected using the estimated parameters of Table 2''
 +
 +
Our data of ptsG2/SgrS2 interaction fitted into the predicted scenario quite readily, just as Fig 6 shows.
 +
 +
<center>[[Image:fig4.png|600px]]</center>
 +
 +
''Fig. 6 Salicylate-induced SgrS repressing the expression of ptsG-GFP. The promoter activity is defined as the GFP expression of the Psal+gfp strain grown in identical media. Different promoter activities were obtained by varying salicylate concentration in the media. The conjugate pairs fit into dose-response curve with variable Hill slope given as a parameter, and the R^2 is 0.9607.''
 +
 +
Such results are in accordance with Levine et. al’s conclusion, i.e., the binding rates between mRNA and sRNA in effect are inherently limited, so the threshold-linear model couldn’t be strictly fitted (Levine et al., 2007). But the performance of SgrS/ptsG pairs is very close to the idealized threshold-linear mode of regulation.
 +
 +
== Reference ==
  
[1] CA Voigt. Genetic parts to program bacteria. Curr Opin Biotechnol 17, 548–557 (2006).
+
<p>[1] Geissmann, T.A., and Touati, D. (2004). Hfq, a new chaperoning role: binding to messenger RNA determines access for small RNA regulator.  <i>The EMBO journal </i> <b>23:</b> 396-405</p>
  
[2] K Clancy, CA Voigt. Programming cells: towards an automated 'Genetic Compiler'. Curr Opin Biotechnol 21, 572–581 (2010) .
+
<p>[2] Kawamoto, H., Koide, Y., Morita, T., and Aiba, H. (2006). Base-pairing requirement for RNA silencing by a bacterial small RNA and acceleration of duplex formation by Hfq. <i>Molecular microbiology</i><b> 61:</b> 1013-1022</p>
  
[3] KA Egland, EP Greenberg. Conversion of the Vibrio fischeri transcriptional activator, LuxR, to a repressor. J. Bacteriol 182, 805-811 (2000).
+
<p>[3] Levine, E., Zhang, Z., Kuhlman, T., and Hwa, T. (2007). Quantitative characteristics of gene regulation by small RNA.  <i> PLoS biology </i><b>5: </b>e229
  
[4] M Schuster, ML Urbanowski, EP Greenberg. Promoter specificity in Pseudomonas aeruginosa quorum sensing revealed by DNA binding of purified LasR. PNAS 45, 15833-15839 (2004).
 
  
  

Latest revision as of 02:27, 6 October 2011

ptsG2-GFP (ptsG2 5'UTR fused with gfp)


Background

PtsG2 is the C87G mutant of ptsG(wt) and the conjugate part of SgrS2 in our comparator device.

PtsG is a glucose permease which is subordinate to phosphotransferase system and serves as a transporter. Here,we studied this mRNA perform the conjugate part of the small RNA regulator sgrS(wt). A 31-nt-long stretch in the 3’ region of SgrS is partially complementary to the translation initiation region of ptsG mRNA, and a 6 nt region overlapping the Shine-Dalgarno sequence of the target mRNA turns out to be crucial for SgrS’ function. When imperfect base-pairing interactions between ptsG and SgrS occurs and this critical region is involved, ptsG's expression is repressed.(See Fig.1).

123.png
Fig. 1 Sequence alignment of wildtype ptsG/SgrS pair and its mutant complementary pairs.

Teppei Morita et.al’ s work suggests that two mutations (C85G and C87G) in ptsG mRNA could completely impair the ability of SgrS to downregulate its expression, while compensatory mutations of SgrS (G178C and G176C) restore the gene silencing ability. These results indicate that it is the base pairing of the two RNAs rather than particular nucleotides that is important for SgrS action. They have also illustrated that sequence outside this region, even though complementary, is rather dispensable for the efficient silencing (Kawamoto et al., 2006). This makes mutant ptsG/SgrS pairs orthogonal to genetic context of the host cell. Therefore we choose this couple of conjugate mRNA/sRNA as the foundation of our comparator device design, and ptsG2 is one mutant of ptsG(wt) utilized in our system(See Fig.2).

22.png
Fig. 2 Sequence alignment of ptsG2/SgrS2 pair.

By employing two sets of mutant ptsG mRNA as well as its complementary SgrS in the design shown in Fig 1, we set to biologically implement the comparator. In detail, ptsG1 refers to a C85G mutant of ptsG (wt) while ptsG2 is a C87G mutant. SgrS1 (G178C) and SgrS2 (G176C) are the corresponding revertants which could help restore their complementarity. And as a proof-of-concept experiment, we constructed synthetic gene circuits, in which the 5’ untranslated region of ptsG mRNA was translationally fused to the coding sequence of the reporter gfp (Levine et al., 2007), as shown in Fig 3.

Q Induce ptsG.png
Q Induce SgrS.png

Fig. 3 The modular components of the comparator. (A) Salicylate leads to the transcription of ptsG-gfp mRNA, which is the target of constitutively expressed SgrS. This is how we implemented both reporting and repressing outputs as a result of the activation of Psal. When there is more salicylate in the media, the GFP fluorescence intensity is expected to be stronger. (B) Salicylate leads to the transcription of SgrS, while the ptsG-gfp mRNA is downstream a constitutive promoter. In this scenario, as the concentration of salicylate increases, the repression effect SgrS exerts on ptsG would in turn be stronger, so the GFP fluorescence intensity is supposed to be weaker.

Furthermore, as a proof-of-concept experiment, we constructed synthetic gene circuits, in which the 5’ untranslated region of ptsG mRNA was translationally fused to the coding sequence of the reporter gfp. The fluorescence intensity of GFP could reflect the repression effect that SgrS exerts on ptsG.

Experimental Data

To qualitatively and quantitatively characterize the specifity of ptsG2/SgrS interaction, we conducted the following experiments.

Part I. The Orthogonal Silencing Matrix

The repression capacity of each ptsG/SgrS pair was indicated by the ratio of the average fluorescence intensity before to after the trigger of SgrS. What we expected was a significant repression within the cognate pairs (ptsG1/SgrS1, ptsG2/SgrS2, and ptsG (wt)/SgrS (wt)), and a minor repression folds among different pairs.

As Figure 4 shows, the highest ratio lie at the diagonal from the upper left to the lower right as expected, which is 5 to 6 folds. As for the ptsG (wt)/SgrS1&2, ptsG1/SgrS (wt), and ptsG2/SgrS (wt), given that these crosses differ at only one base pair, the repression efficacy is around 3 folds. By contrast, the inhibiting effect of on ptsG2 and SgrS2 on ptsG1 is rather unapparent, which can be seen as an appropriate characteristic fitting our competitor requirements.

The original data also provided below (Table 1).

Matrix.jpg

Fig. 4 A graphical representation of the repression matrix associated with SgrS and its mutants, and ptsG and its mutants. The values represent the repression ratios, defined as the repression capacity of each ptsG/SgrS pair, denoted by the ratio of fluorescence intensity before to after the induction of SgrS, suggesting within-subgroup pairwise specificity.

Table 1. Original Data for ptsG2/sgrS Interaction Matrix
222.png

Part II. The Response Curve

The sRNA-mediated gene silencing can be formulated quantitatively via a simple kinetic model. The model is cast in terms of two mass-action equations for the cellular concentrations of the sRNA (s) and its target mRNA (m):

M Model.png

The parameters are defined as in Table 2.

Table 2. Model Parameters: Definitions and Estimated Values
Table 2.png

Levine et. al’s work has revealed that in the idealized scenario when binding between sRNA and mRNA occurs extremely rapidly, gene expression is completely silenced if the target transcription rate is below a threshold. Above this threshold, gene expression will increase linearly. Such threshold-linear model is based on the difference of transcription rates between sRNA and mRNA(Levine et al., 2007)(see Fig.5).

X.png
Y.png

Fig. 5 Predicted response curve of a target gene. (a) The red line depicts the idealized threshold-linear mode of regulation in which gene expression is completely silenced if the SgrS transcription rate exceeds a threshold set by the transcription rate of the ptsG-gfp mRNA. Under this threshold, gene expression decreases linearly with the difference between the mRNA and sRNA transcription rates. (b) The red line depicts the idealized threshold-linear mode of regulation in which gene expression is completely silenced if the ptsG-gfp mRNA transcription rate is below a threshold set by the transcription rate of the sRNA. Above this threshold, gene expression increases linearly with the difference between the mRNA and sRNA transcription rates. The idealized scenario is expected when binding between sRNA and mRNA occurs extremely rapidly. The blue line is the actual response expected using the estimated parameters of Table 2

Our data of ptsG2/SgrS2 interaction fitted into the predicted scenario quite readily, just as Fig 6 shows.

Fig4.png

Fig. 6 Salicylate-induced SgrS repressing the expression of ptsG-GFP. The promoter activity is defined as the GFP expression of the Psal+gfp strain grown in identical media. Different promoter activities were obtained by varying salicylate concentration in the media. The conjugate pairs fit into dose-response curve with variable Hill slope given as a parameter, and the R^2 is 0.9607.

Such results are in accordance with Levine et. al’s conclusion, i.e., the binding rates between mRNA and sRNA in effect are inherently limited, so the threshold-linear model couldn’t be strictly fitted (Levine et al., 2007). But the performance of SgrS/ptsG pairs is very close to the idealized threshold-linear mode of regulation.

Reference

[1] Geissmann, T.A., and Touati, D. (2004). Hfq, a new chaperoning role: binding to messenger RNA determines access for small RNA regulator. The EMBO journal 23: 396-405

[2] Kawamoto, H., Koide, Y., Morita, T., and Aiba, H. (2006). Base-pairing requirement for RNA silencing by a bacterial small RNA and acceleration of duplex formation by Hfq. Molecular microbiology 61: 1013-1022

[3] Levine, E., Zhang, Z., Kuhlman, T., and Hwa, T. (2007). Quantitative characteristics of gene regulation by small RNA. PLoS biology 5: e229 Sequence and Features

Assembly Compatibility:
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  • 1000
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    Illegal BsaI.rc site found at 747