Fatimataha (Talk | contribs) |
|||
Line 133: | Line 133: | ||
<div class="item"><a href="http://parts.igem.org/Part:BBa_K2715004">PCdi_TcdA (from <em>C. difficile</em>)</a></div> | <div class="item"><a href="http://parts.igem.org/Part:BBa_K2715004">PCdi_TcdA (from <em>C. difficile</em>)</a></div> | ||
<img style="width:40%" src="https://static.igem.org/mediawiki/2018/0/05/T--Nottingham--TcdA.png"> | <img style="width:40%" src="https://static.igem.org/mediawiki/2018/0/05/T--Nottingham--TcdA.png"> | ||
+ | <br> | ||
+ | <br> | ||
+ | <br> | ||
<div class="item"><a href="http://parts.igem.org/Part:BBa_K2715003">PCdi¬_TcdB (from <em>C. difficile</em>)</a></div> | <div class="item"><a href="http://parts.igem.org/Part:BBa_K2715003">PCdi¬_TcdB (from <em>C. difficile</em>)</a></div> | ||
<img style="width:40%" src="https://static.igem.org/mediawiki/2018/3/3e/T--Nottingham--TcdB.png"> | <img style="width:40%" src="https://static.igem.org/mediawiki/2018/3/3e/T--Nottingham--TcdB.png"> | ||
Line 168: | Line 171: | ||
<p> | <p> | ||
To date the CRISPR system has been adapted to form a new revolutionary gene editing tool, mostly known under the name CRISPR/Cas9. This technique relies on two main components: the short guide RNA (sgRNA) and the Cas9 protein. The sgRNAs can be split into two parts: the “seed” region, which is a 20 bp sequence that can be easily modified to be complementary to target a gene of interest, and a “handle” region which facilitates the binding of Cas9 to the sgRNA. The sgRNA functions as a ‘guide’ to ensure Cas9 creates double-strand breakage at a specific place in the DNA. In eukaryotes these double-strand breaks are glued back together via non-homologous end-joining (NHEJ) During NHEJ, a few nucleotides are removed from the site of cleavage which leads to the disruption of the gene. This disruption might affect or even completely abolish the activity of the protein it encodes which could lead to phenotypic changes. On the other hand, most bacteria cannot perform NHEJ and therefore die when Cas9 cuts the DNA as their genome cannot be replicated. However, if the target region has been successfully modified, the sgRNA will no longer guide the Cas9 protein to this region of the genome thus preventing cleavage. This makes the CRISPR/Cas9 system an ideal selection tool when editing the genome of bacteria as wild type cells will be killed whereas mutants will survive. | To date the CRISPR system has been adapted to form a new revolutionary gene editing tool, mostly known under the name CRISPR/Cas9. This technique relies on two main components: the short guide RNA (sgRNA) and the Cas9 protein. The sgRNAs can be split into two parts: the “seed” region, which is a 20 bp sequence that can be easily modified to be complementary to target a gene of interest, and a “handle” region which facilitates the binding of Cas9 to the sgRNA. The sgRNA functions as a ‘guide’ to ensure Cas9 creates double-strand breakage at a specific place in the DNA. In eukaryotes these double-strand breaks are glued back together via non-homologous end-joining (NHEJ) During NHEJ, a few nucleotides are removed from the site of cleavage which leads to the disruption of the gene. This disruption might affect or even completely abolish the activity of the protein it encodes which could lead to phenotypic changes. On the other hand, most bacteria cannot perform NHEJ and therefore die when Cas9 cuts the DNA as their genome cannot be replicated. However, if the target region has been successfully modified, the sgRNA will no longer guide the Cas9 protein to this region of the genome thus preventing cleavage. This makes the CRISPR/Cas9 system an ideal selection tool when editing the genome of bacteria as wild type cells will be killed whereas mutants will survive. | ||
+ | |||
+ | <div class="ui two column grid"> | ||
+ | <div class="ui column"> | ||
+ | <img class="ui image" style="width:100%" src=" https://static.igem.org/mediawiki/2018/d/d8/T--Nottingham--Natural.png"> | ||
+ | |||
+ | <h6> | ||
+ | <strong> Diagram explaining transcription and translation in bacteria.</h6> | ||
+ | |||
+ | </div> | ||
+ | <div class="ui column"> | ||
+ | <img class="ui image" style="width:68%" src=" https://static.igem.org/mediawiki/2018/1/18/T--Nottingham--dcas9.png"> | ||
+ | |||
+ | <h6> | ||
+ | <strong> Diagram explaining CRISPRi.</h6> | ||
+ | |||
+ | </div> | ||
+ | </div> | ||
+ | |||
+ | |||
</p> | </p> | ||
<p> | <p> | ||
Line 233: | Line 255: | ||
</p> | </p> | ||
+ | |||
+ | <div class="ui two column grid"> | ||
+ | <div class="ui column"> | ||
+ | <img class="ui image" style="width:100%" src=" https://static.igem.org/mediawiki/2018/d/d8/T--Nottingham--Natural.png"> | ||
+ | |||
+ | <h6> | ||
+ | <strong>Diagram explaining transcription and translation in bacteria.</h6> | ||
+ | |||
+ | </div> | ||
+ | <div class="ui column"> | ||
+ | <img class="ui image" style="width:68%" src=" https://static.igem.org/mediawiki/2018/0/0b/T--Nottingham--asRNA1.png"> | ||
+ | |||
+ | <h6> | ||
+ | <strong>Diagram explaining antisense RNA.</h6> | ||
+ | |||
+ | </div> | ||
+ | </div> | ||
Line 313: | Line 352: | ||
<p>The strongest promoter of our set was P<sub>Cac_thl </sub>(0.3235µM) which was around three times stronger than the positive control [BBa_I20270]. The second strongest clostridial promoter we tested (P<sub>Csp_fdx</sub>)<sub> </sub>was slightly less strong than the positive control. The remaining two clostridial promoter P<sub>Cdi_tcdA </sub>and P<sub>Cdi_tcdB </sub>only weakly expressed in <i>E. coli</i>, though both showed activity significantly higher than the negative control [BBa_R0040]. The three existing parts we characterised with a novel RBS showed a range of expression levels as expected [BBa_J23106, BBa_J23114, and BBa_J23119]. We conclude that these promoters are capatible with the novel RBS part [Bba_K2715009] we added to them. </p> | <p>The strongest promoter of our set was P<sub>Cac_thl </sub>(0.3235µM) which was around three times stronger than the positive control [BBa_I20270]. The second strongest clostridial promoter we tested (P<sub>Csp_fdx</sub>)<sub> </sub>was slightly less strong than the positive control. The remaining two clostridial promoter P<sub>Cdi_tcdA </sub>and P<sub>Cdi_tcdB </sub>only weakly expressed in <i>E. coli</i>, though both showed activity significantly higher than the negative control [BBa_R0040]. The three existing parts we characterised with a novel RBS showed a range of expression levels as expected [BBa_J23106, BBa_J23114, and BBa_J23119]. We conclude that these promoters are capatible with the novel RBS part [Bba_K2715009] we added to them. </p> | ||
+ | |||
+ | <img style="width:70%" src="src="https://static.igem.org/mediawiki/2018/9/9a/T--Nottingham--N_GFP.png"> | ||
+ | |||
+ | <h6> | ||
+ | <strong> Relative expression of GFP from each of the seven promoter constructs in E. coli from a six hour culture. The positive and negative controls are those used in the Interlab study, BBa_I20270 and BBa_R0040 respectively. The results represent the mean of four technical replicates with error bars representing the standard error of the mean. All values were calculated using calibration curves generated in the Interlab study, corrected for optical density and reported relative to the equivalent μM of fluorescein. | ||
+ | </h6> | ||
+ | |||
+ | </div> | ||
+ | |||
<h4>GusA Assay in <i>C. difficile </i></h4> | <h4>GusA Assay in <i>C. difficile </i></h4> | ||
Line 323: | Line 371: | ||
<p>None of the three existing registry promoters (BBa_J23106, BBa_J23114, and BBa_J23119) showed any detectable level of expression. This is somewhat unsurprising given that they are native to the distantly related <i>E. coli</i>, though they do have a ribosome binding region from clostridia which was intended to allow them to function in <i>C. difficile</i>. Of the two toxin promoters native to <i>C. difficile </i>only P<sub>Cdi_tcdA </sub>showed any detectable activity and this was approximately seven times lower than the activity of P<sub>Csp_fdx</sub>. This could be due to the assay being performed in BHIS medium which contains compounds which suppress the promoter. A research paper suggests that these toxin promoters are subject to catabolite repression (Dupuy et al., 2011). The strongest promoter in <i>C. difficile </i>was clearly shown to be P<sub>Csp_fdx</sub>. </p> | <p>None of the three existing registry promoters (BBa_J23106, BBa_J23114, and BBa_J23119) showed any detectable level of expression. This is somewhat unsurprising given that they are native to the distantly related <i>E. coli</i>, though they do have a ribosome binding region from clostridia which was intended to allow them to function in <i>C. difficile</i>. Of the two toxin promoters native to <i>C. difficile </i>only P<sub>Cdi_tcdA </sub>showed any detectable activity and this was approximately seven times lower than the activity of P<sub>Csp_fdx</sub>. This could be due to the assay being performed in BHIS medium which contains compounds which suppress the promoter. A research paper suggests that these toxin promoters are subject to catabolite repression (Dupuy et al., 2011). The strongest promoter in <i>C. difficile </i>was clearly shown to be P<sub>Csp_fdx</sub>. </p> | ||
+ | |||
+ | <img style="width:70%" src="https://static.igem.org/mediawiki/2018/7/75/T--Nottingham--P_gusA.png"> | ||
+ | |||
+ | <h6> | ||
+ | <strong> Relative expression of GusA from each of the six promoter constructs in C. difficile from a 16 hour mid-exponential culture. The negative control used was a C. difficile strain containing a modular vector pMTL84151 which contained no promoter. The results represent the mean of four technical replicates with error bars representing the standard error of the mean. Culture samples were harvested by centrifugation, cell pellets were resuspended in 500 μL of a suitable buffer, lysed by sonication, and 75 μL of the cell suspension was reacted with 28.4 μM of 4-methylumbelliferyl-β-D-glucuronide. Fluorescence intensity was monitored over a period of 30 min at 440-460 nm using an excitation wavelength of 355-375 nm, and the rate of change in intensity per minute was calculated as a measure of β-Glucuronidase activity, encoded by the protein GusA. | ||
+ | </h6> | ||
+ | |||
+ | </div> | ||
+ | </div> | ||
+ | |||
+ | |||
<p>Antunes, A., Martin-verstraete, I., & Dupuy, B. (2011). CcpA-mediated repression of Clostridium difficile toxin gene expression, 79(December 2010), 882–899. https://doi.org/10.1111/j.1365-2958.2010.07495.x</p> | <p>Antunes, A., Martin-verstraete, I., & Dupuy, B. (2011). CcpA-mediated repression of Clostridium difficile toxin gene expression, 79(December 2010), 882–899. https://doi.org/10.1111/j.1365-2958.2010.07495.x</p> |
Revision as of 20:38, 17 October 2018
Antunes, A., Martin-verstraete, I., & Dupuy, B. (2011). CcpA-mediated repression of Clostridium difficile toxin gene expression, 79(December 2010), 882–899. https://doi.org/10.1111/j.1365-2958.2010.07495.x
CRISPRi
The part, pMTLdCas-GusA PthI-dCas9 was confirmed by conducting PCR and the DNA was extracted from E. coli for Sanger sequencing which confirmed that the inserted parts are correct (figure 1).
Figure 1. Sanger sequencing data of PthI-dCas9 inserted into pMTL84121. The red bars above the black middle line are sequencing reads mapped to the the dcas9 gene (light green) and Pthl promoter (dark green). The red bars show that there is no mutation with our inserts.
However, inserting PtcdB and the sgRNAs into the vector proved to be quite troublesome. It was repeatedly tried to insert PtcdB into the vector unfortunately sequencing results would always show mutations or rearrangements (Figure 2). Most likely these mutations can be attributed to the fact that high levels of gusA are toxic to E. coli. This has been previously observed with the promoter library construct Pthl-gusA.
In the original design the sgRNAs would be cloned downstream of the gusA gene. Unfortunately, several attempts to ligate sgRNAs with the vector pMTLdCas9-GusA were unsuccessful. Single digests were carried out and confirmed that the AscI restriction enzyme did not cut the vector (figure 3). Repeating the same digestion with several AscI restriction enzyme stocks did not resolve the problem, indicating that the AscI restriction site has a mutation, this was later confirmed with Sanger sequencing.
Figure 2. Single digestion of pMTL84121 with XhoI or AscI and it is proved that AscI restriction site has a mutation.
In order to establish the repression efficiency of the various sgRNAs an enzymatic assay was performed. The assay was repeated twice, harvesting the cells at different stages of bacterial growth; exponential and stationary growth phase. Cells at exponential phase were harvested when the cultures reached an OD600 of 1.0 and cells at stationary phase were harvested after overnight growth.
Figure 3. Repression efficiency of sgRNA variants (A1-6) was measured using a β-Glucuronidase activity assay in E. coli strains harbouring pMTL82251-sgRNA (A, B) or pMTL71401-sgRNA (C, D) plasmid backbones. Strains harbouring vectors pMTL82251 –sgRNA (A, B) or pMTL71401-sgRNA (C, D) were used as controls, expressing dCas9 but no sgRNA. Briefly, strains were grown in media with the appropiate antibiotics and overnight cultures (A, C) or cultures at the mid-log growth phase [OD600 ≈ 1.0] (B, D) were harvested by centrifugation. Subsequently, cell pellets were re-suspended in 500 μL of a suitable buffer and 75 μL of the cell suspension were reacted with 28.4 μM of 4-methylumbelliferyl-β-D-glucuronide. Fluorescence intensity was monitored over a period of 10 min at 440-460 nm using an excitation wavelength of 355-375 nm. Data represent mean values of three technical replicates ± SD. Statistical analysis was carried out using one-way ANOVA with Dunnett’s test for multiple comparisons against the control strain (c); p-values are indicated as: 0.1234 (ns), 0.0332 (*), 0.0002 (***), <0.0001 (****).
The sgRNAs tested exhibited different levels of repression for the PtcdA promoter (Figure 4). sgRNAs A2, A3, A4 and A6 all repressed gusA expression, although with different efficiencies. For the sgRNAs expressed from the pMTL82251 vector sgRNA A4 and A6 have the biggest effect on gusA expression, whereas sgRNAs A1 and A5 do not seem to repress (Figure 4-A, B). The repression efficiencies observed for the sgRNAs in the pMTL71401 vector have a similar profile as observed for the pMTL82251 vector; sgRNAs A3 and A4 significantly reduce the detected enzyme activity whereas sgRNAs A1 and A5 do not effect gusA expression (Figure 4-C, D). Moreover, no clear difference is observed between the samples harvested in the exponential growth phase and the samples harvested at the stationary growth phase. Suggesting that with the GusA reporter the level of repression is quite stable and not influenced by the accumulation of protein inside the cell. There is only one exception, pMTL82251 sgRNA A5 has a negative effect on the gusA activity measured at OD600 of 1.0 but not at the stationary phase. Furthermore, pMTL71401 sgRNA A5 has no effect on gusA expression. This suggest that the observed reduced expression of gusA for pMTL82251 sgRNA A5 during exponential growth is most likely due to an error in the assay. Only sgRNA A4 seems to behave differently when expressed from a different vector; showing strong repression in pMTL82251 and medium repression in pMTL71401. The observed discrepancy could be due to the difference between the copy number of the two vector backbones or a detrimental mutation in the PtcdA promoter or the gusA gene which inactivates the promoter or disrupts the gusA gene.
In the future we would like to repeat the GusA assay to characterise the activity of sgRNAs targeting PtcdB. Subsequently, the best sgRNAs to repress the PtcdA and PtcdB promoter can be expressed together with dCas9 in C. difficile to determine their effectiveness in repressing toxicity. In addition, different combinations of sgRNAs can be used in these assays to potentially increase the tightness of the system. Since we were not able to transform our construct into C. difficile but it has been proven that our construct shows the expected results, transforming the construct into C. difficile and conducting cytotoxicity assay will be ideal.
Antisense RNA
The ultimate objective was to incorporate the described asRNA system suppressing two C. difficile toxins into the phiSBRC prophage of C. difficile. The edited prophage could then be prepared from a stock C. difficile culture and used as a phage therapy treatment on patients suffering from C. difficile infections. To first demonstrate the efficacy of the asRNA constructs at suppressing toxin production the two constructs we created were cloned into a plasmid vector suitable for transforming C. difficile. The C. difficile cultures harbouring asRNA plasmids were compared to wild type C. difficile in terms of supernatant cytotoxicity using African green monkey kidney epithelial cells of the ‘Vero’ lineage. C. difficile cultures were monitored over five days in terms of optical density as a read-out for bacterial growth and samples were taken, centrifuged and the supernatant filter sterilised in preparation for the cytotoxicity assay.
Cell supernatants of C. difficile contain the two toxins of interest TcdA and TcdB which are capable of stimulating mammalian epithelial cells to undergo apoptosis. It was thought that the supernatants from cultures containing our two asRNA constructs would have a lower concentration of toxins and therefore produce lower cytotoxic effects on the vero cells. Vero cells were grown in a 96-well cell culture plate using Dulbecco’s modification of Eagle medium (DMEM) supplemented with 10% heat-inactivated fetal bovine serum (FBS). After a confluent monolayer of epithelial cells was formed the sterile C. difficile supernatant was applied and the cells incubated for 24 hours at 37°C with 5% CO2. After incubation the medium-supernatant solution was taken and added to the LDH master mix solution, incubated in the dark at room temperature for 30 minutes before the absorbance at 492 nm was measured. Absorbance at 492 nm is a readout for cell death due to the released lactate dehydrogenase from lysed cells reducing NAD+ to NADH/H+ which is then used to reduce a tetrazolium salt into formazan. The formazan dye produced gives an absorption maximum at 492 nm and since the concentration of formazan correlates with the amount of lactate dehydrogenase released by the cells it can be used as a measurement of cytotoxicity.
Our results show that the supernatant toxicity of wild type C. difficile appears to plateau at 48 hours with no further increases observed. This plateau effect is likely produced by the concentration of toxin in the supernatant overcoming a threshold whereby the assay is no longer sensitive to any increases in toxicity. Both asRNA construct containing cultures take around 120 hours to reach this plateau of toxicity as their rate of toxin production is significantly lower. The rate of toxin production was taken as the OD-normalised LDH assay 492 nm absorbance value divided by the number of hours that the sample had been growing. Using this formula the wild type culture exhibited a toxin production rate of 0.0506 arbitrary units whilst construct one and two produced 0.0102 and 0.0074 respectively. Comparing these rates reveals that the asRNA construct one reduces the toxin production rate by 79.8% and construct two reduces the toxin production rate by 85.3%.
Cytotoxicity of C. difficile supernatants.The graph shows supernatant cytotoxicity over a period of 120 hours. There is considerably less toxin production by C. difficile containing asRNA construct 1 and C. difficile containing asRNA construct 2 than by wild type C. difficile.
Rate of toxin production.C. difficile containing asRNA construct 1 and C. difficile containing asRNA construct 2 exhibit a significantly slower rate of toxin production than wild type C. difficile. Here we see an 80% reduction in the rate of toxin production by C. difficile containing asRNA construct 1 and an 85% reduction in the rate of toxin production by C. difficile containing asRNA construct 2.
Conclusion
Our project aimed to show that C. difficile toxin production could be reduced with genetic constructs which could then be incorporated into a phage which targets strains of C. difficile.
The first step toward this end was to characterise a recently discovered phage in terms of its infectivity parameters. Phage phiSBRC was demonstrated to infect the C. difficile SBRC 078 strain effectively with the plaque/burst size assay showing that 33 phage particles are released per C. difficile cell. This result was used as a parameter in our modelling work. Another important parameter needed for the model was the growth rate of C. difficile wild type compared with the C. difficile lysogen in which the phiSBRC phage has integrated into the C. difficile genome. The respective growth rates were calculated by tracking the growth of each culture. It was concluded that there was little difference in the growth rate between C. difficile and the lysogen.
Having demonstrated that phiSBRC would be a suitable phage for infecting toxic C. difficile we next wanted to design a genetic construct which would be capable of suppressing toxin production. The two approaches we considered for this were dCas9 and asRNA. Both of these approaches required the use of strong, constitutive promoters. For this reason the next step for us was to characterise a range of promoters for strength in C. difficile. Whilst achieving this goal we also decided it would be beneficial to attempt to improve the characterisation of existing registry parts by measuring their expression in a novel organism. C. difficile is a Gram-positive anaerobic organism with significant differences to the E. coli chassis for which existing characterisation was performed. The existing registry promoters BBa_J23114, BBa_J23106, and BBa_J23119 were characterised for expression strength using a GusA assay in C. difficile. A new registry part which represents the ribosome binding region from the thiolase gene of Clostridium acetobutylicum was added to these promoter regions allowing them to be characterised in the context of having a different RBS than previously. In addition, four promoters have been added to the iGEM registry from C. acetobutylicum (Pcac_thl) [Bba_K2715010], C. sporogenes (PCsp_fdx) [Bba_K2715011] and two from C. difficile (PCdi_TcdA) [Bba_K2715012] and (PCdi_TcdB) [Bba_K2715013].
The four novel registry parts were characterised alongside the existing registry promoters in a GFP assay in E. coli as well as in a GusA assay in C. difficile. The most remarkable conclusion from the E. coli GFP assay of these promoters is that both of the suspected strong C. difficile promoter PCsp_fdx and Pcac_thl were stronger than any of the three existing registry promoters we assayed; with Pcac_thl producing around three times the concentration of fluorescein (0.3235µM) as the positive control used in the InterLab studies (0.0958µM).
Our main objective in characterising these promoters was to find a suitable pair of strong promoters to use in our subsequent dCas9 or asRNA projects. For this the GusA assay within C. difficile was most relevant since this is the chassis in which these constructs would be acting. The C. difficile GusA assay clearly showed that none of the three existing registry promoters from E. coli had any detectable activity in C. difficile. By far the strongest promoter we were able to measure was PCsp_fdx which was around 7.5 times stronger than the next strongest promoter we found (PCdi_TcdA). We were unable to clone the strongest promoter from the E. coli GFP assay PCdi_thl into a GusA reporter plasmid. This is likely because of the toxicity of the gusA gene in E. coli and since we know that PCdi_thl is the strongest of our promoters in E. coli it is unsurprising that this was the most problematic plasmid to construct. As a result we did not measure the strength of PCdi_thl in C. difficile, but due to its measured strength in C. difficile as well as its widespread use for overexpression studies in Clostridia we decided to select it alongside PCsp_fdx as a promoter to use in the next stage of our project.
Two asRNA constructs were cloned named ‘asRNA Construct One’ [Bba_K2715007] and ‘asRNA Construct Two’ [Bba_K2715008]. Both of these constructs target both toxin genes TcdA and TcdB with asRNA parts of varying length with asRNA Construct Two having longer regions of homology with 50bp of coding region verses 24bp for asRNA Construct One. These constructs were designed with the promoter results in mind, selecting the suspected two strongest promoters in C. difficile. Both constructs were assessed in terms of their ability to reduce C. difficile culture supernatant cytotoxicity on mammalian ‘Vero’ cells. The rate of toxin production was decreased by 80% and 85% by asRNA Construct One and asRNA Construct Two respectively. The main conclusion to draw from this result is that an asRNA strategy is viable for reducing C. difficile strain toxicity. Another conclusion of note is that having a longer region of homology with the target gene does seem to impact on the effectiveness of suppression significantly since asRNA Construct Two has a 5% greater effect whilst having 26bp extra of homology per toxin gene.
The other approach to suppressing toxin production was via a nucleolytically inactive Cas9 (dCas9). Demonstration of this approach did not progress as far as with asRNA because the cloning stage of this project was more time-consuming. While asRNA demonstrated a C. difficile supernatant with reduced cytotoxicity, our dCas9 approach was only validated in E. coli. However, positive results were obtained and future work should continue to pursue this approach. Six guide RNAs were evaluated in terms of their ability to target dCas9 to the toxin promoter region for toxin A (PtcdA). PtcdA was placed in control of the reporter gene gusA allowing quantification of the effectiveness of each guide RNA. Out of the six guide RNAs tested guide RNA 6 displayed the most consistently promising results with significantly less Gus activity implying that this guide recruits dCas9 to the PtcdA promoter region most effectively. Therefore guide RNA 6 will be used in future work when the dCas9 approach is trialled within C. difficile for its ability to reduce toxin production.
Future Work
Since we have demonstrated the effectiveness of asRNA at reducing C. difficile toxicity in this project, the obvious next step is to integrate our toxin suppressing construct into phiSBRC. This will involve taking the C. difficile lysogen with phiSBRC integrated into the genome and modifying it in the same way as we would modify the C. difficile genome normally. A recent paper (Wang et al., 2018) has described genome modification of C. difficile using Cas9 as a counter-selection mechanism forcing the cell to undergo homologous recombination with the delivered knockout plasmid to escape the lethal effects of Cas9. The recombination event which allows the cell to avoid the lethal double stranded break caused by Cas9 is directed by homology arms delivered on the knockout plasmid allowing researchers to delete genomic regions or introduce novel DNA into the genome. With this approach in mind we designed the plasmid pSBRC_Cas9_PhageIntegration_holin. This plasmid contains asRNA Construct Two which reduced toxin production by 85%, between homology arms directed at a gene within the phiSBRC prophage. The phiSBRC gene we chose to target was a holin gene which is thought to be responsible for cell lysis. Without this gene the progeny phage particles will not be able to burst out of the bacterial cell. This gene was chosen because it is one of the few areas of the genome which we are confident in ascribing function to and that function is not required to prepare more of the modified phage. Even without the phage being able to exit the bacterial cell it can still be induced and replicate itself and from there we can artificially extract phage particles ready for re-infection or delivery as a therapeutic. The other reason the holin gene was chosen is because of concerns around the size of phage genome which can be successfully packaged. It may be that the phage has evolved to be at or near to the limit of DNA which it can package. In this case replacing the holin gene which is of a similar size to asRNA Construct Two would mean that this is no longer an issue.
After knocking out the holin gene whilst simultaneously introducing asRNA Construct Two we would have a lysogenic strain of C. difficile with the modified phiSBRC integrated within the C. difficile genome. The asRNA Construct Two should still be active within the genome, as it would be constitutively expressed, and have a similar toxin suppressing effect to that demonstrated on a replicative plasmid in our results section. The cytotoxicity assays performed earlier will have to be repeated with the modified phiSBRC prophage taking the place of the replicative vector to ensure that the toxin suppression effect remains. It may be the case that since the asRNA construct on the genome is at a lower copy number than on a replicative vector it no longer displays such powerful toxin suppressing effects.
Having verified that the modified phiSBRC prophage retains its impact on toxin suppression the next stage would be to generate a second modified phiSBRC prophage which does not remove the phage holin gene. This is necessary because the modelling results suggest that having the phage able to occasionally enter the lytic cycle would be beneficial when put into practice. Instead of targeting the holin gene a region of non-coding DNA would be found and targeted with different homology arms to those used previously in pSBRC_Cas9_PhageIntegration_holin. Once the new modified prophage is created it would be necessary to ensure that the phage retains its ability to infect C. difficile and undergo the lytic cycle. For this reason a plaque assay would be performed as previously with the wild type phiSBRC and any difference in phage parameters would be re-entered into the mathematical model.
After this research is complete we would have a C. difficile lysogen containing a modified prophage which has been demonstrated to suppress toxin. This lysogen could be used to generate pure infectious phage particles which could be used in phage therapy. The next factor to consider would be the means of delivery to patients. After consulting with experts and discussion groups as detailed in the human practices it was decided that a capsule would be the optimal delivery method. As such the final stage of research in future work would be optimisation of the encapsulation of phage particles ready for application to patients.
Wang, S. et al. 2018. “Genome Engineering of Clostridium Difficile Using the CRISPR-Cas9 System.” Clinical Microbiology and Infection. https://doi.org/10.1016/j.cmi.2018.03.026.
InterLab
The aim of the iGEM InterLab study is to work towards a more reliable and repeatable measurement system to make synthetic biology an engineering biology. All participating laboratories first calibrated their instruments by obtaining standard curves using sodium fluorescein which was provided in our kits. This allowed us to fix settings such as top/bottom optic, gain and type of plate used so that all conditions were the same for our GFP and CFU protocols.
Table 1 shows data for the OD600 reference point.
Table 2 shows data for the particle standard curve (standard curve below).
Table 3 shows data for fluorescein standard curve (standard curve below).
(Blue cells were raw data measurements, gold cells were calculated) After the machine was calibrated fluorescence and absorbance of GFP in 8 different devices was measured using the standardised method provided by iGEM. The results gathered were suggestive of which device had the highest strength of gene expression. The data collection sheet provided converted our raw plate reader measurements into arbitrary fluorescein and abs600 values as well as calculating the µM fluorescein per OD as shown in the following tables.
Tables 4 and 5 show calculated values of µM fluorescein per OD at 0 hour and 6 hour time points. This was calculated from OD measurements we took before beginning the assay.
Tables 6 and 7 show calculated arbitrary values of net fluorescein at 0 hour and 6 hour time points.
Tables 8 and 9 show net values of absorbance of light (600nm) at 0 hour and 6 hour time points.
What did we gain from our InterLab experience? The InterLab study has allowed us to contribute to making synthetic biology more accurate through providing a series of standardised procedures of calibration and measurement tests. It helped our project as we were then able to use our new calibrated programmes to compare our promoters GFP assay data with iGEM standard data.
Labfolder
Protocols
Lab book antisense RNA experiments
Lab book promoter experiments
Lab book dCas9 experiments