Team:Colombia/Project

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<center><b><h1  class="curs1">The Project</h1></b></center>
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This year, iGEM Team Colombia has been hard at work developing of a biosensor for the human bacterial pathogen <i>Vibrio cholerae</i>. Our idea focuses on creating a easy-to-use kit capable of detecting this bacterium in different contexts, such as different kinds of food or water, by giving a simple visible color signal as a positive result. This kit would be useful for anyone who wants to detect cholera-infected food and water without having to use the expensive or tedious methods now available, such as immunogenic techniques or direct isolation and culture of bacteria. Possible users are companies in the food industry and quality or research labs.
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It is widely accepted that exposure to stressors increases secretion of glucocorticoids, cortisol, and corticosterone in a wide variety of gnathostome vertebrates (Stephens, 1980) (Greenberg et al, 1987). Research in animals, have demonstrated that allostatic overload of this hormones and other mediators, resulting from chronic stress, causes atrophy of neurons in the hippocampus and prefrontal cortex; brain regions involved in memory, selective attention and executive function; likewise it causes hypertrophy of neurons in the amygdala, the brain region involved in fear and anxiety as well as aggression (McEwen, 2004). This means that prolonged states of stress may lead to impaired performance in daily activities like learning, decision making and ability to remember; additionally, will cause damage on the amygdala which in turn will increase levels of anxiety and aggression.
 
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Other than neurological, chronic stress in vertebrates is tightly related with pathologies upon metabolism, immunity, reproduction, cardiovascular system and cellular proliferation (Harbuz et al, 1992) (Whittier, 1991); Thus, the dysregulation of cortisol and other mediators that form the allostatic system is likely to play a role in many neurophysiological conditions as well as systemic disorders such as diabetes, impaired reproduction and immunosuppression (Rasgon et al, 2005).
 
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Now a days, approximately 26 billion animals, spanning over 10 000 species, are kept on farms and in zoos, conservation breeding centers, research laboratories and households (Manson, 2010). Taking into account that captivity is a well-known acute stressor (Gregory et al, 1996), if proper conditions of the habitat are not reestablished or defined, acute stress may turn into chronic stress, and consequently lead to problems that are particularly undesirable for animals maintained in captivity; including increased abnormal behavior, increased self-injurious behavior, impaired reproduction and immunosuppression (Morgan et al, 2007). Besides, it’s been demonstrated that stressful conditions on cattle elicit changes in muscle gross morphology in direct proportion with the duration of the stressor, thus a negative effect on the meat quality and other products for human consumption (Judge, 1969). 
 
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Likewise, human beings are prone to stressful conditions; Constant exposure to adverse environments like noise and pollution or other lifestyle and social conflicts may cause chronic stress that result, over time, in pathophysiological conditions like atherosclerosis, which can lead to strokes and myocardial infarctions (McEwen, 2007).
 
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<b> <font size="10"> &nbsp;&nbsp;Context </font> </b>
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Identifying a standardized mechanism that allows an early detection of stress is of high importance in different applications such as animal conservation and human practices such as investigation, medicine, animal breeding and cattle raising. Also, doing the proper characterization of the different types of stress provide insight information about the animal condition and therefore, assist an early diagnosis to prevent acute stress to become chronic.
 
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Nowadays, hormones act as biological markers of stress; In this practices the so called “stress-hormones” such as cortisol in humans and corticosterone in rats are quantified to provide information of stress in animals; Elisa, which is the gold standard for stress determination is highly precise and specific; nevertheless this and most methods that utilize immunoassays are only available for lab practices and involve the manipulation of difficult machinery and specialized procedures that are not available for daily use and which are difficult and expensive to implement in farms, home or other in situ investigations.  
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<b><font color="#8A0808" size="5" >Cholera</font></b>
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Cholera has been a scourge to civilizations the world over since ancient times. According to the World Health Organization’s estimates, there are 3-5 million cholera cases and 100,000-120,000 deaths every year worldwide. Caused by the bacterial pathogen <i>Vibrio cholerae</i>, the disease has been responsible for seven global pandemics in recorded history, plus countless localized outbreaks (World Health Organization, 2014). These outbreaks are triggered by <b><i>V. cholerae</i></b> when present in water sources or food even at very small cell densities, and can have devastating effects, with mortality rates reaching up to an alarming 50% and causing death in a matter of hours if left untreated (Public Health Vigilance Group, 2011). The disease is most prevalent in low-income populations with inadequate health services and water management infrastructure (Public Health Vigilance Group, 2011).
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Although there is no official reports about confirmed cases in Colombia (due to the weak report system), some of the greatest risk factors are widespread across the country’s rural–and even urban–areas (Public Health Vigilance Group, 2011). Proof of this vulnerability is the impact generated by the arrival of the deadly El Tor <i>V. cholerae</i>  strain in 1991, which caused 30,000 cholera cases in two years.
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<img src="http://www.who.int/gho/epidemic_diseases/cholera/cholera_005.jpg?ua=1"  alt="Statistics" style="width:500px;"  align="Center">
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We propose a standardized device that’ll detect stress with no need of complex machinery or procedures, but a versatile and easy to use device that can be used by anyone, from a farmer in livestock practices, to yourself at home, to identify if your own pet is held in good conditions and stress-free. The device will sense the presence of one of the “stress hormones”, depending on the specimen used, and compare it to a normal concentration or base line. If the concentration of the hormone sensed is more than usual, the device will send a visual signal to inform the user of the presence of stress. The sensing will be done by a bio-machinery held inside the genetic code of ''Saccharomyces cerevisiae''. Thus, our genetically manufactured yeast will identify if there’s abnormal presence of the hormone and if the threshold established is reached, elicit the alarm signal using m-cherry.  
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Due to the disease’s alarmingly quick onset upon infection and the fact that rapid access to medical care is often not available in affected areas, prevention is a key factor in combating cholera. Careful monitoring of water sources and food stocks in areas of potential contamination is vital, especially during outbreaks. In spite of this need, there currently is no cost-effective way of detecting <i>V. cholerae</i> easily in environmental samples (Wang et al., 2010). The most effective ways of detecting the pathogen are culturing environmental samples in selective enrichment media in the lab and real-time PCR, which require a lab, trained personnel, and <b>enough time </b> to grow cultures. Rapid detection systems such as immunomagnetic beads or DNA probe hybridization can be unspecific and are based on molecular techniques that can be expensive or difficult to use (Wang et al., 2010). Recent research in environmental cholera detection has focused on improving upon existing techniques, such as adapting immunochromatographic dipstick tests used for stool samples (Chakraborty et al., 2013). Although there have been interesting synthetic biology projects aimed at preventing <i>V. cholerae</i> infection by meddling with the pathogen’s quorum sensing mechanism (Duan & March, 2010), there have been no attempts to build an environmental cholera biosensor using synthetic biology to date.  
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[[File:Colombia_FoodPoisoning.png|center|300px]]
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This project that is aimed to a larger population than the methods previously released, can be used for both formal and informal characterization of stress. In previous examination with members of the laboratory of neuroscience of Andes University, they did recognize the asset of the device to objectively characterize behavior with fewer limitations and costs than with ELISA kit. Besides, interviews with veterinarians provide evidence that the animals held in households and other facilities such as animal breeding centers and farms, often require close observation to avoid negative effects associated with stressed animals.
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In light of this, our project aims to use synthetic biology to develop a <i>V. cholerae</i> sensor using a new technique. Instead of trying to detect the cholerae toxin, specific sequences of nucleic acid, or antigens, we propose detecting <i>V. cholerae</i> Autoinducer 1 (CAI-1), the bacteria’s species-specific quorum sensing molecule. If we rewire <i>V. cholerae</i>’s own quorum sensing mechanism –used in nature to gauge population levels and regulate pathogenicity– in a harmless <i>E. coli</i> chassis, we can build a cheap and easy-to-use biosensor that gives a color output when it senses the pathogen. This prototype can serve as a proof-of-concept for future quorum sensing-based pathogen biosensors.
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Although we did recognize that identifying stress in animals is of high important in different fields, we propose to  initialize the project with trials on humans mostly because of the vast amount of information on the circadian rhythms and baselines  of cortisol <a href="https://2013.igem.org/Team:Colombia_Uniandes/Implementation ">(read more here)</a>, the main “stress hormone” in humans. Nevertheless, we intent to create a product with different final users, based on personalized needs. This requires a bigger effort as baselines for each specimen shall be established in order to identify the “all or nothing” threshold.
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Besides, we propose as future prospects, the possibility to implement various baselines in order to provide a more quantitatively response to the presence of stress, rather than the off-on system originally proposed.
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        Glucocorticoid sensor
 
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        <h3 id="parts">Design: Project Parts!</h3>
 
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<h4 id="glucoSensor"> Glucocorticoid sensor</h4>
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<b><font color="#8A0808" size="5" >Quorum Sensing Mechanism </font></b>
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<h5 id="glucoConstruct">Our construct</h5>
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<i>Vibrio cholerae</i>'s quorum sensing mechanism is comprised of two converging circuits: a non-specific branch governed by Auto-Inducer 2 (AI-2), common to a number of Gram-negative and -positive bacteria, and a species-specific branch governed by Cholera Auto-Inducer 1 (CAI-1), which proves to be far more interesting to our project do to its specificity (Svenningsen, Waters & Bassler, 2008). CAI-1 is synthetized by cytoplasmic protein CqsA, released to the extracellular environment, and detected by membrane protein dimer CqsS. At <b>low</b> concentrations of CAI-1, a phosphorylation cascade flows from CqsS through kinase LuxU to transcription factor LuxO. Phosphorylated LuxO acts upon promoter <i>pqrr</i> and, in <i>V. cholerae</i>, induces transcription of genes <i>qrr1</i> to <i>qrr4</i>, which encode a series of small, noncoding RNAs that base-pair to mRNA from gene <i>hapR</i>. With no <i>hapR</i> mRNA, virulence genes are upregulated, a strategy used by the pathogen in order to allow more gut space for its kind. When the pathogen has firmly established itself inside the human gut, virulence genes are therefore no longer needed. Because of this, at high concentrations of CAI-1, CqsS no longer phosphorylates LuxU, and in fact, the whole phosphorylation cascade reverses itself. This dephosphorylating behacior reinforces the signal. Therefore, LuxO stops activating  <i>pqrr</i>, which downregulates transcription of  <i>qrr</i> genes and eventually inhibits virulence gene expression down the line (Svenningsen, Waters & Bassler, 2008).
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We plan to use the baker's yeast, ''Saccharomyces cerevisiae'', as a chassis for a plasmid which will contain a chimeric protein used as a transactivating factor in a biosensor with a colored reporter.
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<h5 id="glucoChassis">The Chassis</h5>
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<center>Quorum sensing mechanism of <i>Vibrio cholerae</i>, according to Hammer & Bassler (2007). </center>
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<b><font size="10"> <div name="design">&nbsp;&nbsp;Design</div> </font></b>
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<b><font color="#8A0808" size="5" >Overview</font></b>
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We chose ''S. cerevisiae'' as the chassis because one of the most important parts of our fusion protein, the glucocorticoid receptor hormone binding domain (GCR HBD) is eukaryotic, therefore we wanted an easy to use, easy to grow, eucaryotic vector to express our protein and build our biosensor.
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With <i>V. cholerae</i>'s quorum-sensing mechanism in mind, we designed a genetic circuit capable of detecting CAI-1, processing the signal and producing a visual output. The system is comprised of three parts: the receptor and transduction pathway, an inverter that processes the signal, and an output module with a positive feedback loop.
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<h5 id="glucoChimera">The Chimera</h5>
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The glucocorticoid receptor (GCR) from mammals contains three domains necessary for stress hormone related gene transcription, the hormone binding domain (HBD), the DNA binding domain (DNA-BD) and the gene transactivating domain (GTD).
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However, for our construct's performance we used a chimeric protein. Just as the mythological creature made from fused parts from a lion, a goat and a snake, we created a chimeric protein using three domains from different organisms.
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We used the glucocorticoid receptor hormone binding domain (GCR HBD) which came from a rat to recognize our hormones of interest. However, we replaced the other two domains with the herpesvirus gene transactivating domain (HV-GTD) and the yeast's DNA binding domain from GAL4. These two new domains have the advantage of being already used, characterized and being highly efficient. The HV-GTD is a highly efficient transactivating domain, recognized to be several orders of magnitude better than the GCR-GTD.
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Here is the construct:
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[[File:GCtestconstruct1.jpg | thumb | center | upright=3.0 | Glucocorticoid test construct]]
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<li>Yeast activation with sufficient time prior to any "Stress Test". To do this, take the two part container and rotate the upper part. Then shake it smoothly for a couple of minutes.</li>
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<li>Get the Saliva Sample using the saliva sampler from an animal or human.</li>
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<b><font color="#8A0808" size="5" >Receptor and transduction pathway</font></b>
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<li>Place the saliva sampler inside the already mixed yeast container. Wait for a few minutes</li>
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<li>Observe the color of the solution in the container. Red colored solution indicates high glugocorticoids concentration (stress behavior).</li>
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We use the same membrane receptor and transduction pathway in <i>V. cholerae</i>, explained above, to detect CAI-1 presence-absence. A phosphorylation cascade is activated in the <b>absence</b> of CAI-1, while a phosphatase reverse cascade is activated in the <b>presence</b> of the signal molecule. Phosphorylated LuxO activates the <i>pqrr4</i> promoter region.
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The designed device for Chimi manipulation is currently being prototyped using fast prototyping machines at Universidad de los Andes. Benefit-cost ratios for different materials are being studied. We hope to have in short time our first functional device for stress detection, stay tuned!     
 
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        <h4 id-"glucoTester">Experimental work  </h4>
 
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<b><font color="#8A0808" size="5" >Signal processing: Inverter</font></b>
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In principle, this step should be as simple as hooking up promoter <i>pqrr</i> to a reporter gene if signal presence were to induce gene expression. However, due to the fact that the pathway's natural design deactivates the promoter in the presence of CAI-1, an inverter device must be used to process the signal. A standard <i>tetR-ptet</i> repressor inverter device was built for this purpose (built from scratch from its constituent parts, because the device in our distribution appeared not to function properly–see <a href="https://2014.igem.org/Team:Colombia/Parts">Parts</a> for details).
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[[File:Colombia_Inverter.png|center|700px]]
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      <h4>References:</h4>
 
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<li>Greenberg, N., and Wingfield, J. C. (1987). Stress and reproduction: Reciprocal relationships. In ‘‘Hormones and Reproduction in Fishes, Amphibians and Reptiles’’ (D. O. Norris and R. E. Jones, Eds.), pp. 461–503. Plenum, New York.</li>
 
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<li>Gregory, Lisa. Gross, Timothy. Bolten, Alan. Bjorndal, Karen. Guillette, Louis. (1996) Plasma Corticosterone Concentrations Associated with Acute Captivity Stress in Wild Loggerhead Sea Turtles (Caretta caretta). General and Comparative Endocrinology 104, 312–320</li>
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<b><font color="#8A0808" size="5" >Output: Fluorescent color protein</font></b>
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<li>Judge, M.D. (1969) Environmental Stress and Meat Quality. Journal of Animal Science, 28: 755-760.</li>
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Again, this system in principle should be a simple reporter gene under control of the inverter device's <i>ptet</i> promoter. However, our <a href="https://2014.igem.org/Team:Colombia/Modeling"> mathematical models</a> predicted a weak signal with this simple scheme. The solution is to add a positive feedback mechanism to reinforce the signal once CAI-1 is detected. Our modeling team recommended the use of <i>tetA</i>, which codes for an activator of promoter <i>ptet</i>. The reporter gene used is <i>amilCP</i>, a blue chromoprotein.
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<li>Kirschbaum C, Prussner JC, Stone AA, Federenko I, Gaab J, Lintz D, Schommer N, Hellhammer DH. (1995) Persistent high cortisol responses to repeated psychological stress in a subpopulation of healthy men. Psychosomatic Med 57: 468–474.</li>
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Unfortunately, the <i>tetA</i> part did not work properly in the lab. The solution was to put <i>amilCP</i> under control of <i>psid</i>, a different inducible promoter, as well as <i>ptet</i>, the inverter's repressible promoter gene. Gene <i>psp3</i>, concatenated to <i>amilCP</i>, codes for an transcription activator that upregulates <i>psid</i>, thus completing the feedback loop.
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<li>Manson, Georgia J. (2010) Species differences in responses to captivity: stress, welfare and the comparative method. Trends in Ecology and Evolution. Volume 25, Issue 12: Pages 713–721</li>
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<li>McEwen, Bruce S. (2007) Physiology and Neurobiology of Stress and Adaptation: Central Role of the Brain. Physiol Rev 87: 873–904</li>
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<b> <font size="10"> &nbsp;&nbsp;Results </font> </b>
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We constructed 7 new, RFC10-compatible parts, two of which were not submitted to the registry because we could not transfer them to the appropriate plasmid backbones on time. Among the parts we built are two reporter genes under the control of <i>ptet</i>. One of these was used to build two different versions of the output circuit: one version with <i>psid</i>, thus completing the feedback loop, and another stand-alone version without the inducible promoter. We also built a circuit capable of producing phosphorylated LuxO when induced by arabinose to test the signal processing and output circuits. Additionally, we built our own Quad-Part tetracycline Inverter device, because we found the one in our distribution to be faulted. We also built a <i>pqrr4</i>-containing biobrick; this part, however, did not appear to function as expected. Finally, since we cannot work with actual <i>V. cholerae</i> due to obvious biosecurity concerns, we need a way of testing the circuits we build without having to deal with the pathogen. For this reason, <i>cqsA</i> was cloned in <i>E. coli</i> (BBa_K581011) to use as a positive control for the whole system.
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You can check a table outlining our parts <a href="https://2014.igem.org/Team:Colombia/Parts">here</a>.
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<center>Here is an example of an E: coli DH5α culture carrying psid - pTet - AmilCP - pag activator (PSP3).</center>
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<li>McEwen BS, Chattarji S. (2004) Molecular mechanisms of neuroplasticity and pharmacological implications: the example of tianeptine. Eur Neuropsychopharmacol 14: 497–502.</li>
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We also participated in the Interlab contest. You can read about our results <a href="https://2014.igem.org/Team:Colombia/Interlab">here</a>.
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<li>Morgan, Kathleen. Tromborg, Chris. (2007) Sources of stress in captivity. Applied Animal Behaviour Science. Volume 102: 262–302</li>
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<b> <font size="10"> &nbsp;&nbsp;References </font> </b>
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<li>Mirescu C, Gould E. (2006) Stress and adult neurogenesis. Hippocampus16: 233–238</li>
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<li>Chakraborty, S., Alam, M., Scobie, H. M., & Sack, D. A. (2013). Adaptation of a simple dipstick test for detection of Vibrio cholerae O1 and O139 in environmental water. Frontiers in microbiology, 4.</li>
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<li>Duan, F., & March, J. C. (2010). Engineered bacterial communication prevents Vibrio cholerae virulence in an infant mouse model. Proceedings of the National Academy of Sciences, 107(25), 11260-11264.</li>
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<li>Svenningsen, S. L., Waters, C. M., & Bassler, B. L. (2008). A negative feedback loop involving small RNAs accelerates Vibrio cholerae’s transition out of quorum-sensing mode. Genes & development, 22(2), 226-238.
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<li>Public Health Vigilance Group. (2011) Plan de contingencia del sector salud para la prevención y control de cólera en Colombia [Health sector contingency plan for the prevention and control of cholera in Colombia]. Ministry of Social Protection, Republic of Colombia. Accessed 8 june 2014 from <http://www.minsalud.gov.co/Documentos%20y%20Publicaciones/PLAN%20DE%20CONTINGENCIA%20DEL%20SECTOR%20SALUD%20PARA%20LA%20PREVENCI%C3%93N%20Y%20CONTROL%20DE%20C%C3%93LERA%20EN%20COLOMBIA.pdf></li>
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<li>Wang, D., Xu, X., Deng, X., Chen, C., Li, B., Tan, H., ... & Kan, B. (2010). Detection of Vibrio cholerae O1 and O139 in environmental water samples by an immunofluorescent-aggregation assay. Applied and environmental microbiology, 76(16), 5520-5525.</li>
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<li>World Health Organization. (2014) Cholera: Fact sheet No. 107. Media Center Fact Sheets. Retrieved 8 june 2014 from <http://www.who.int/mediacentre/factsheets/fs107/en/>.</li>
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The Project


This year, iGEM Team Colombia has been hard at work developing of a biosensor for the human bacterial pathogen Vibrio cholerae. Our idea focuses on creating a easy-to-use kit capable of detecting this bacterium in different contexts, such as different kinds of food or water, by giving a simple visible color signal as a positive result. This kit would be useful for anyone who wants to detect cholera-infected food and water without having to use the expensive or tedious methods now available, such as immunogenic techniques or direct isolation and culture of bacteria. Possible users are companies in the food industry and quality or research labs.







  Context


Cholera

Cholera has been a scourge to civilizations the world over since ancient times. According to the World Health Organization’s estimates, there are 3-5 million cholera cases and 100,000-120,000 deaths every year worldwide. Caused by the bacterial pathogen Vibrio cholerae, the disease has been responsible for seven global pandemics in recorded history, plus countless localized outbreaks (World Health Organization, 2014). These outbreaks are triggered by V. cholerae when present in water sources or food even at very small cell densities, and can have devastating effects, with mortality rates reaching up to an alarming 50% and causing death in a matter of hours if left untreated (Public Health Vigilance Group, 2011). The disease is most prevalent in low-income populations with inadequate health services and water management infrastructure (Public Health Vigilance Group, 2011).
Although there is no official reports about confirmed cases in Colombia (due to the weak report system), some of the greatest risk factors are widespread across the country’s rural–and even urban–areas (Public Health Vigilance Group, 2011). Proof of this vulnerability is the impact generated by the arrival of the deadly El Tor V. cholerae strain in 1991, which caused 30,000 cholera cases in two years.

Statistics

Due to the disease’s alarmingly quick onset upon infection and the fact that rapid access to medical care is often not available in affected areas, prevention is a key factor in combating cholera. Careful monitoring of water sources and food stocks in areas of potential contamination is vital, especially during outbreaks. In spite of this need, there currently is no cost-effective way of detecting V. cholerae easily in environmental samples (Wang et al., 2010). The most effective ways of detecting the pathogen are culturing environmental samples in selective enrichment media in the lab and real-time PCR, which require a lab, trained personnel, and enough time to grow cultures. Rapid detection systems such as immunomagnetic beads or DNA probe hybridization can be unspecific and are based on molecular techniques that can be expensive or difficult to use (Wang et al., 2010). Recent research in environmental cholera detection has focused on improving upon existing techniques, such as adapting immunochromatographic dipstick tests used for stool samples (Chakraborty et al., 2013). Although there have been interesting synthetic biology projects aimed at preventing V. cholerae infection by meddling with the pathogen’s quorum sensing mechanism (Duan & March, 2010), there have been no attempts to build an environmental cholera biosensor using synthetic biology to date.

Colombia FoodPoisoning.png


In light of this, our project aims to use synthetic biology to develop a V. cholerae sensor using a new technique. Instead of trying to detect the cholerae toxin, specific sequences of nucleic acid, or antigens, we propose detecting V. cholerae Autoinducer 1 (CAI-1), the bacteria’s species-specific quorum sensing molecule. If we rewire V. cholerae’s own quorum sensing mechanism –used in nature to gauge population levels and regulate pathogenicity– in a harmless E. coli chassis, we can build a cheap and easy-to-use biosensor that gives a color output when it senses the pathogen. This prototype can serve as a proof-of-concept for future quorum sensing-based pathogen biosensors.



Quorum Sensing Mechanism

Vibrio cholerae's quorum sensing mechanism is comprised of two converging circuits: a non-specific branch governed by Auto-Inducer 2 (AI-2), common to a number of Gram-negative and -positive bacteria, and a species-specific branch governed by Cholera Auto-Inducer 1 (CAI-1), which proves to be far more interesting to our project do to its specificity (Svenningsen, Waters & Bassler, 2008). CAI-1 is synthetized by cytoplasmic protein CqsA, released to the extracellular environment, and detected by membrane protein dimer CqsS. At low concentrations of CAI-1, a phosphorylation cascade flows from CqsS through kinase LuxU to transcription factor LuxO. Phosphorylated LuxO acts upon promoter pqrr and, in V. cholerae, induces transcription of genes qrr1 to qrr4, which encode a series of small, noncoding RNAs that base-pair to mRNA from gene hapR. With no hapR mRNA, virulence genes are upregulated, a strategy used by the pathogen in order to allow more gut space for its kind. When the pathogen has firmly established itself inside the human gut, virulence genes are therefore no longer needed. Because of this, at high concentrations of CAI-1, CqsS no longer phosphorylates LuxU, and in fact, the whole phosphorylation cascade reverses itself. This dephosphorylating behacior reinforces the signal. Therefore, LuxO stops activating pqrr, which downregulates transcription of qrr genes and eventually inhibits virulence gene expression down the line (Svenningsen, Waters & Bassler, 2008).

QuorumSensing.gif

Quorum sensing mechanism of Vibrio cholerae, according to Hammer & Bassler (2007).


  Design


Overview

With V. cholerae's quorum-sensing mechanism in mind, we designed a genetic circuit capable of detecting CAI-1, processing the signal and producing a visual output. The system is comprised of three parts: the receptor and transduction pathway, an inverter that processes the signal, and an output module with a positive feedback loop.



Screen Shot 2014-10-17 at 10.48.49 AM.png




Receptor and transduction pathway

We use the same membrane receptor and transduction pathway in V. cholerae, explained above, to detect CAI-1 presence-absence. A phosphorylation cascade is activated in the absence of CAI-1, while a phosphatase reverse cascade is activated in the presence of the signal molecule. Phosphorylated LuxO activates the pqrr4 promoter region.

Colombia Transduction.png






Signal processing: Inverter

In principle, this step should be as simple as hooking up promoter pqrr to a reporter gene if signal presence were to induce gene expression. However, due to the fact that the pathway's natural design deactivates the promoter in the presence of CAI-1, an inverter device must be used to process the signal. A standard tetR-ptet repressor inverter device was built for this purpose (built from scratch from its constituent parts, because the device in our distribution appeared not to function properly–see Parts for details).

Colombia Inverter.png






Output: Fluorescent color protein

Again, this system in principle should be a simple reporter gene under control of the inverter device's ptet promoter. However, our mathematical models predicted a weak signal with this simple scheme. The solution is to add a positive feedback mechanism to reinforce the signal once CAI-1 is detected. Our modeling team recommended the use of tetA, which codes for an activator of promoter ptet. The reporter gene used is amilCP, a blue chromoprotein.

Colombia Output.png

Unfortunately, the tetA part did not work properly in the lab. The solution was to put amilCP under control of psid, a different inducible promoter, as well as ptet, the inverter's repressible promoter gene. Gene psp3, concatenated to amilCP, codes for an transcription activator that upregulates psid, thus completing the feedback loop.






  Results

We constructed 7 new, RFC10-compatible parts, two of which were not submitted to the registry because we could not transfer them to the appropriate plasmid backbones on time. Among the parts we built are two reporter genes under the control of ptet. One of these was used to build two different versions of the output circuit: one version with psid, thus completing the feedback loop, and another stand-alone version without the inducible promoter. We also built a circuit capable of producing phosphorylated LuxO when induced by arabinose to test the signal processing and output circuits. Additionally, we built our own Quad-Part tetracycline Inverter device, because we found the one in our distribution to be faulted. We also built a pqrr4-containing biobrick; this part, however, did not appear to function as expected. Finally, since we cannot work with actual V. cholerae due to obvious biosecurity concerns, we need a way of testing the circuits we build without having to deal with the pathogen. For this reason, cqsA was cloned in E. coli (BBa_K581011) to use as a positive control for the whole system.

You can check a table outlining our parts here.

Partepsid.jpg

Here is an example of an E: coli DH5α culture carrying psid - pTet - AmilCP - pag activator (PSP3).


We also participated in the Interlab contest. You can read about our results here.



  References

  1. Chakraborty, S., Alam, M., Scobie, H. M., & Sack, D. A. (2013). Adaptation of a simple dipstick test for detection of Vibrio cholerae O1 and O139 in environmental water. Frontiers in microbiology, 4.

  2. Duan, F., & March, J. C. (2010). Engineered bacterial communication prevents Vibrio cholerae virulence in an infant mouse model. Proceedings of the National Academy of Sciences, 107(25), 11260-11264.

  3. Svenningsen, S. L., Waters, C. M., & Bassler, B. L. (2008). A negative feedback loop involving small RNAs accelerates Vibrio cholerae’s transition out of quorum-sensing mode. Genes & development, 22(2), 226-238.
  4. Public Health Vigilance Group. (2011) Plan de contingencia del sector salud para la prevención y control de cólera en Colombia [Health sector contingency plan for the prevention and control of cholera in Colombia]. Ministry of Social Protection, Republic of Colombia. Accessed 8 june 2014 from

  5. Wang, D., Xu, X., Deng, X., Chen, C., Li, B., Tan, H., ... & Kan, B. (2010). Detection of Vibrio cholerae O1 and O139 in environmental water samples by an immunofluorescent-aggregation assay. Applied and environmental microbiology, 76(16), 5520-5525.

  6. World Health Organization. (2014) Cholera: Fact sheet No. 107. Media Center Fact Sheets. Retrieved 8 june 2014 from .




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