Team:Grenoble/Projet/Results

From 2011.igem.org

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<p>We first tested the following constructions with a FACSCalibur flow cytometer:</p>
<p>We first tested the following constructions with a FACSCalibur flow cytometer:</p>
<a href="https://static.igem.org/mediawiki/2011/f/f2/Figure_2_construction.png"><img
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<div classe"legend"><strong>Figure 2:</strong>
<div classe"legend"><strong>Figure 2:</strong>
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<a href="https://static.igem.org/mediawiki/2011/6/6f/Figure_3_facs.png"><img
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<div classe"legend"><strong>Figure 3:</strong>Dot plot of the water tube and one of the sample tubes. The measurements are done with 40000 events. FACS measurements were realised in duplicate (only one his shown).</div>
<div classe"legend"><strong>Figure 3:</strong>Dot plot of the water tube and one of the sample tubes. The measurements are done with 40000 events. FACS measurements were realised in duplicate (only one his shown).</div>
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<a href="https://static.igem.org/mediawiki/2011/2/27/Figure_4_flow_cytometre2.png"><img
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<div classe"legend"><strong>Figure 4:</strong> Individuals flow cytometer results for each construction. In red are theGFP’s fluorescence averages, in black the rate of bacteriawithin the M1 or M2 window.</div>
<div classe"legend"><strong>Figure 4:</strong> Individuals flow cytometer results for each construction. In red are theGFP’s fluorescence averages, in black the rate of bacteriawithin the M1 or M2 window.</div>
<a href="https://static.igem.org/mediawiki/2011/d/df/Figure_5_flow_courbe.png"><img
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<div classe"legend"><strong>Figure 5:</strong> Compilation of the flow cytometer measurements.  1and 2 are the negative controls, 3 :magaleader sequence, 4: fha leader sequence, 5 : strongest biobrick RBS.</div>
<div classe"legend"><strong>Figure 5:</strong> Compilation of the flow cytometer measurements.  1and 2 are the negative controls, 3 :magaleader sequence, 4: fha leader sequence, 5 : strongest biobrick RBS.</div>

Revision as of 21:05, 4 October 2011

Grenoble 2011, Mercuro-Coli iGEM


Results

Post-transcriptional regulation

The RsmA system has a homologous in Escherichia Coli named CsrA. We know these two system are extremely closed on structural and functional sides. The most difference between this two regulation systems is on target regulon. For example, in Pseudomonas aeruginosa Rsma regulate many virulence genes as type III secretion system (anja Brencic and Stephen Lory). In Escherichia coli, RsmA homologous regulate metabolic network. Our goal is to integrate this translational regulation system in the toggle switch. We need to know whether it influence the bacteria’s life.

logo iGEM
Figure 1 RsmA influence on DH5α growth. Bacteria from overnight culture were reseeding in rich medium supplemented with tetracycline at 20mg/ml and also IPTG at the concentration given in the legend.

Figure 1 present growth curve of DH5α carries into a plasmid pVLT31 with or without rsmA and Natural RBS cloned downstream the Plac promoter. Two triads can be seen. The triad containing the strains with empty plasmid shows an upper growth curve compared to the second triad carries pVLT31-rsmA. But it’s important to say that the two groups start their growth not at the same value. That explains a time lag between these two groups. After normalization of all curves, no differences between these two kind of bacteria could be seen. We conclude that the RsmA overexpression hasn’t effects on the growth of bacteria.

Characterisation of the leader sequences

We extracted and cloned several leader sequences that comport a ribosome-binding site (RBS). We first wanted to verify whether we could use them with a reporter gene,in order to:

We first tested the following constructions with a FACSCalibur flow cytometer:

figure2
Figure 2: :Constructions used to characterise the sequences RBS strength of magA and fha leader sequences.

We used the brick BBa_K256003 as a reference to compare our leader sequences to. Fha1 and maga leader sequences are cloned to the same components as BBa_K256003, and carried by the same plasmid. We used two negative controls:

Cell were incubate one night at 37°C, 250rpm, during 14h. They were re-suspended tree hours before the test. Optic density at 600 nm was 3± 0,3 for all samples 15mn before the test. 50 μl of LB containing cellsand medium were diluted into 500 μl of filtered in 0,2 nm PBS, and tube were loader into the FACS.

figure3
Figure 3:Dot plot of the water tube and one of the sample tubes. The measurements are done with 40000 events. FACS measurements were realised in duplicate (only one his shown).

The cytometer count each particle that pass through the light beam; It is necessary to select an analysis gate that corresponds to the bacteria size. We can then see what is the natural fluorescence of our control bacteria. This allows defining the windows of basal signal (M1) and positive signal (M2). We look at the average fluorescence within windows that comport the most cells.

figure4
Figure 4: Individuals flow cytometer results for each construction. In red are theGFP’s fluorescence averages, in black the rate of bacteriawithin the M1 or M2 window.
figure4
Figure 5: Compilation of the flow cytometer measurements. 1and 2 are the negative controls, 3 :magaleader sequence, 4: fha leader sequence, 5 : strongest biobrick RBS.

The two negatives controls (WT and without promoter) show a very little fluorescent signal as expected. The reference brick BBa_K25003 shows an impressive amount of GFP with about 77 % of the cell population that fluoresce more than the control.Its average fluorescent signal is 1030 vs 2,5(wild type). The signal from the brick containing maga leader sequence (BBA_K545006) doesn’t differ very much from the negative controls: four per cent of the cell population fluoresce more than the controls, at a very low level even. The fluorescence mean is 4,4 vs 2,5 from the WT control (window M1).

Part BBa_K545010 containing the fha leader sequence induce a fluorescence signal higher than the control for 90 % of the cell population. The average signal (M2 window) is 154 vs 2,5(WT) and 1029 (BBa_K25003).

figure4
Figure 6: relative strength of maga(BBa_K545006) and fha(BBa_K545005) leader sequences RBS compared to BBa_K25003 RBS. The later is the strongest RBS used to compare others RBS of the registry. Maga has got very week RBS binding site strength,whereas fhaLS is still in the same order level.

Construction of a Toggle Switch test

In order to test if our system could work, we construct a toggle switch test based on Gardner's work [1].

For realized this toggle, we used 4 primary bricks :

First we put RBS-GFP behind RBS-TetR, and Q04121 behind pTet: both size are around 1 500 bp. The following gel shows that both constructions were at the expected size. Construction were confirmed by sequencing.

Figure 1: First step of cloning gel

In a last step of cloning, we put RBS-tetR-RBS-GFP behind pTet-Q04121. The size is around 3 000 bp. The following gel shows that constructions was at the expected size. In addition to this test, transformation of bacteria have grown on plate with IPTG to block them in the fluorescence way. And some of the bacteria were fluorescent. Construction was also confirmed by sequencing.

Figure 2: Last step of cloning gel
Figure 3: Fluorescence test picture

To test this system, bacterias had grown in an aTc preculture to block them in a nonfluorescent way. This bacteria were put in a 96 wells plate with a two dimensionnal gradient (aTc and IPTG). After 10 hours of acquisition, we obtained the following curve :

We can get from this graph that between an aTc concentration of 50ng/mL and 150 ng/mL there is a switch after 3 hours of experiment. However, we can see more fluorescence than expected. In fact, the GFP protein has an half life of 10 hours and it was impossible to get no fluorescence.

We also did an experiment on bacterias which had grown in an IPTG preculture. But we did'nt see a switch because IPTG block bacterias in the fluorescence way. Because of the half life of GFP, it was possible to detect a switch only with bacteria which had grown with aTc.

To go further, it will be very interesting to put an LVA tag on GFP in order to control its degradation. In this case we will be abble to see the switch in both case and with more magnitude. We also construct this toggle with the quorum sensing gene to get the proof of concept. And the construction with mercury repressor.