You might know about the CRISPR-based technology called SHERLOCK (Specific High-sensitivity Enzymatic Reporter un-LOCKing) which aims to detect nucleic acid with a high specificity. We, the iGEM Montpellier team, developed Shell’lock which is based on this well known technique and that we adapted to the detection of oyster pathogens. In this page, you will find all the design details of Shell’lock.
The SHERLOCK detection system is based on the specific recognition of a target RNA that is present in the sample by a specifically designed guide RNA (crRNA), which acts as a guide for the Cas13c protein. The specificity is easily programmable and relies on introducing in the crRNA a 28 nucleotide long sequence that is perfectly complementary to the target RNA . In our strategy, detecting a specific organism then consists in identifying a sequence that is unique to this organism. To obtain a proof of concept in the lab, we first identified suitable target sequences from the genome of pathogens and then worked with the corresponding in vitro translated RNAs.
As positive control, we used the synthetic sequence and matching guide RNA designed by Kellner et al. in “SHERLOCK: Nucleic acid detection with CRISPR nuclease” (1).
We designed multiple sequences from different genes of our organisms of interest. We focused on different type of genes, the detection of which can provide relevant information for each of them:
All the genes are listed in the table below.
Vibrio aestuarianus gene | Strain | Accession number |
---|---|---|
AY605667.1 | 01/32 | AY605667.1 |
toxR | 02/041 | AM183570.1 |
flaA | 02/041 | Sequence extracted from mage genscope (10) |
vspR | 02/041 | Sequence extracted from mage genscope (11) |
dnaJ | GTC2706 | AB263018.1 |
16s rRNA gene | 02/041 | AJ845017.1 |
gyrB | 02/041 | AJ852513.1 |
mreB | 02/041 | Sequence extracted from mage genscope (12) |
pyrH | 02/041 | Sequence extracted from mage genscope (13) |
recA | 02/041 | Sequence extracted from mage genscope (14) |
topA | 02/041 | Sequence extracted from mage genscope(15) |
Although Cas13 recognizes RNA, to lower the cost of our experiments, we decided to design DNA template sequences and then perform transcription to obtain target and guide RNAs. The template for all the target sequences is described in figure 1.
The guide RNA is complementary to the 28 nucleotides of the coding strand of the target sequence. We also decided to design the guides as DNA to have enough material for a large number of experiments. The template used for all the guides is described in figure 2.
To filter the guide RNA and to choose the most specific one, we developed a program. The goal is to have an automatic pipeline that Blast a sequence against NCBI databases. We used it to blast our potential guide RNA candidates to check if there are alignments with other sequences. The analysis is run via python through the NCBI server. The principle is shown in figure 3:
We identified some limits of this program:
Even if we identified these limits, we think that our program is a necessary tool to identify best guide candidates. In fact, it avoids the design of guide RNA that will recognize the wrong target sequence and thus produce false positives.
The script is available in the iGEM software GitLab.
We analyzed our results and decided to remove sequences that have a high probability to match with
sequences in other organisms than Vibrio Aestuarianus. We end up with 9 guide RNAs that can target
the sequences of interest: two guides targeting 16s, two guides targeting dnaJ, oneguide targeting
flaA, one targeting vam, one targeting toxR and the last one targeting vspR.
All the DNA sequences used are reported in this
table.
1. J.Kellner M, Koob J, S.Gootenberg J, O.Abudayyeh O, Zhang F. SHERLOCK: Nucleic acid detection with CRISPR nucleases. 2020 Mar; Available from:
10.1038/s41596-019-0210-2
2. Lebreuche Y, Le Roux F, Henry J, Zatylny C. Vibrio aestuarianus zinc metalloprotease causes lethality in the Pacific oyster Crassostrea gigas and impairs the host cellular immune defenses. 2010 Nov;753–8. 10.1016/j.fsi.2010.07.007
3. Garnier M, Lebreuche Y, Nicolas JL. Molecular and phenotypic characterization of Vibrio aestuarianus subsp. francensis subsp. nov., a pathogen of the oyster Crassostrea gigas. 2008 Oct; Available from: http://dx.doi.org/10.1016/j.syapm.2008.06.003
4. Saulnier D, De Decker S, Haffner P. Real-time PCR assay for rapid detection and quantification of Vibrio aestuarianus in oyster and seawater: A useful tool for epidemiologic studies. 2009 May; Available from: https://doi.org/10.1016/j.mimet.2009.01.021
5. DNA gyrase, subunit B [Internet]. Available from: https://www.ebi.ac.uk/interpro/entry/InterPro/IPR011557/
6. mreB gene [Internet]. Available from: https://mage.genoscope.cns.fr/microscope/mage/seq.php?id=12834278
7.Hoffman M, W Brown E, CH Feng P, Fischer M, R Monday S. PCR-based method for targeting 16S-23S rRNA intergenic spacer regions among Vibrio species. 2010 Mar; Available from: https://doi.org/10.1186/1471-2180-10-90
8. L.Milton D, O’Toole R, Hörstedt P. Flagellin A Is Essential for the Virulence of Vibrio anguillarum. 1996 Mar; Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC177804/pdf/1781310.pdf
9. H.Rashid M, Rajanna C, Zhang D, Pascuale V. Role of exopolysaccharide, the rugose phenotype and VpsR in the pathogenesis of epidemic Vibrio cholerae. 2004 Jan; Available from: https://doi.org/10.1016/S0378-1097(03)00879-6
10. flaA gene [Internet]. Available from: https://mage.genoscope.cns.fr/microscope/mage/getInfoLabel.php?id=12832451
11. vspR gene [Internet]. Available from: https://mage.genoscope.cns.fr/microscope/mage/getInfoLabel.php?id=20021630
12. mreB gene [Internet]. Available from: https://mage.genoscope.cns.fr/microscope/mage/seq.php?id=12834278
13. pyrH gene [Internet]. Available from: https://mage.genoscope.cns.fr/microscope/mage/seq.php?id=12832370
14.recA gene [Internet]. Available from: https://mage.genoscope.cns.fr/microscope/mage/seq.php?id=12834138
15. topA gene [Internet]. Available from: https://mage.genoscope.cns.fr/microscope/mage/seq.php?id=12833395
16.New BLAST default parameters and search limits coming in September [Internet]. Available from: https://ncbiinsights.ncbi.nlm.nih.gov/2020/06/18/new-blast-settings/
In this section we present our lateral flow assay using Shell’ Lock to detect oyster pathogens. Current methods of pathogen detection require the use of conventional molecular biology techniques such as PCR (1), (2). To stay close to the first concern of our project, the oyster farmers, we wanted to develop an easy detection technique. In this section we describe the design principle behind using paper-strips and lateral flow assay to perform the Shell’Lock reaction.
The test can be decomposed in two main steps:
The first step of our assay is the Cas13 activation and probe cleavage. This can be preceded by an optional target amplification step. This step will be performed in a first test tube. A second test tube contains the enzyme (Cas13a), the guide RNA (crRNA) and the probe. The probe is a15 uridine RNA molecule conjugated to biotin in 5’ and FAM (6-fluorescein amidite) in 3’. In the reaction tube one can insert the product of the RPA or directly the tested sample (see results for detailed protocol).
To the reaction tube are added gold nanoparticles coupled with an anti-FITC antibody (that can bind to FAM) and reaction buffer (Milenia hybrid-detect kit, CITY AND COUNTRY). The strip contains two different types of capture molecules: a biotin ligand (control band) and an anti-rabbit antibody (test band). Both are fixed on the strip and serve to capture antibodies. The sample is deposited on a sample pad, bycapillarity the aqueous solution will migrate. The anti-FITC coupled gold nanoparticles bind to the RNA- coupled FITC molecules and co-migrate with the sample on the paper strip. In the case of a SHERLOCK reaction two different scenarios can occur:
Design of all the components:
In order to have a semi-quantitative readout, we used the absorbance properties of the gold nanoparticles. As shown in figure 2, gold nanoparticles have a peak of absorbance around 500 nm. Using a gel imager we exposed our readouts to white light and obtained an RGB image of our test. Using the ImageJ software (3), we split the channels and inverted the green channel in order to have access to the absorbance measurement. We then measured the intensity of each band and the intensity of the background. Using a custom made python pipeline we subtracted the background intensity from the intensity of each band and plotted the ratio of intensity between the test and control band. An example of such measurement can be found in figure 3 . More details can be found in the results section.
Results of lateral flow experiments can be found on this page.
F. S. Le Guyader et al., « Detection of Multiple Noroviruses Associated with an International Gastroenteritis Outbreak Linked to Oyster Consumption », J Clin Microbiol, vol. 44, no 11, p. 3878‑3882, nov. 2006, doi: 10.1128/JCM.01327-06
2. P. K. C. Cheng, D. K. K. Wong, T. W. H. Chung, et W. W. L. Lim, « Norovirus contamination found in oysters worldwide », J. Med. Virol., vol. 76, no 4, p. 593‑597, août 2005, doi:10.1002/jmv.20402
3. V. Séchet et al., « Characterization of toxin-producing strains of Dinophysis spp. (Dinophyceae) isolated from French coastal waters, with a particular focus on the D. acuminata-complex », Harmful Algae, vol. 107, p. 101974, juill. 2021, doi: 10.1016/j.hal.2021.101974. 10.1002/jmv.20402
4.C. Myhrvold et al., « Field-deployable viral diagnostics using CRISPR-Cas13 », Science, vol. 360, no 6387, p. 444‑448, avr. 2018, doi:10.1126/science.aas8836
5.C. A. Schneider, W. S. Rasband, et K. W. Eliceiri, « NIH Image to ImageJ: 25 years of image analysis », Nat Methods, vol. 9, no 7, Art. no 7, juill. 2012, doi:10.1038/nmeth.2089
Our diagnostic tool is based on the SHERLOCK (1) system, which itself relies on the Cas13a enzymatic reaction. Cas13a is an enzyme that possesses both a specific and unspecific nuclease activity (2) . In other words, Cas13a cleaves target RNA sequences that are complementary to a guide RNA and other non-specific and off-target RNA sequences. We are using that property of Cas13a coupled with a variety of RNA probes in order to detect the presence of certain pathogens in Thau’s lagoon water.
Our project was split in two different tests as explained in other sections:
Our diagnostic is intended to be easy to use and rapid, making it qualitative. In order to access more
quantitative outputs and perform more in-depth analysis we developed an in vitro test.
The test relies on the use of a specific RNA probe linked to a fluorophore and a quencher. Thus using fluorescence output we developed a plate-reader-based Shell’lock detection. In this section we are going to detail every step of the experimental design of this approach.
The probe is the core of the fluorescent detection. We designed the cleavage reporter according to Gootemberg et al. (3) . This reporter is composed of the fluorophore 6-FAM (IDT), a poly U sequence and the quencher BHQ_1 (IDT).
Quenchers are a class of molecules that can, through different mechanisms suppress the fluorescence of a fluorophore. The most common form of quenching is through Förster resonance energy transfer (FRET). This mechanism is based on the overlapping of the excitation spectra of the quencher with the emission spectra of the fluorophore. The energy of the fluorescent emission by the fluorophore is transmitted to the quencher and can then be emitted at another wavelength or dissipated. In the case of Dark quencher the energy is dissipated which creates a decrease in the fluorescence detection.
Many mechanisms of quenching have been described in the litterature, involving energy transfer, dimerization of the fluorophore, chemical modification of the fluorophore… We decided to use Black Hole Quencher®-1 quencher from IDT. The mechanism of quenching of this particular fluorophore is the property of IDT.
The choice of the fluorophore was adapted from the quencher. We chose a fluorophore that corresponded to the characteristics imposed by the quencher i.e with an overlap between the emission spectra of the fluorophore and the absorbance of the quencher. We decided to choose FAM (6-Carboxyfluorescein ).
The reaction starts by the recognition of the guide RNA by the Cas protein. This step depends on the presence of a scaffold sequence in the guide in 5’ that is recognized by LwCas13a. This sequence was obtained by aligning varius guide RNA found in the literature using the same Cas (LwCas13a). After assembly of the Cas-guide complex, there is specific recognition of the target. This specificity comes from the “spacer” sequence in the guide (20nt) that is complementary to the target RNA. Upon recognition the Cas protein will become activated and will perform it’s nuclease activities:
A scheme of the SHERLOCK reaction can be seen in figure 1.
The components of the SHERLOCK mix can be found in our protocol. The concentration of the components were adjusted for our experimental setup after characterization experiments. We performed kinetic experiments to follow the evolution of the concentration of the cleaved probes. The experiments ran over 8h by measuring at 5 minutes intervals. The complete protocols for the different experiments we carried out can be found in our protocol.
The Protocol is found here: Protocol
1. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956564/
2. https://borea.mnhn.fr/fr/vibrio-aestuarianus-zinc-metalloprotease-causes-lethality-pacific-oyster-crassostrea-gigas-and-0
3. https://www.science.org/doi/10.1126/science.aaq0179
4. https://www.sciencedirect.com/science/article/abs/pii/S0167701209000372