Team:Calgary
From 2013.igem.org
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- | Pathogenic Enterohaemorrhagic <i>E. coli</i> serotype O157:H7 is a major source of foodborne illness worldwide. Outbreaks like these cause death, hospitalizations, massive economic losses and an overall loss of consumer confidence in food safety. Ruminating animals such as cattle and sheep can harbor pathogenic <i>E. coli</i> asymptomatically and are a major source of contamination in many cases. However consumption of pathogenic <i>E. coli</i> by humans can cause abdominal pain and bloody diarrhea | + | Pathogenic Enterohaemorrhagic <i>E. coli</i> serotype O157:H7 is a major source of foodborne illness worldwide. Outbreaks like these cause death, hospitalizations, massive economic losses and an overall loss of consumer confidence in food safety. Ruminating animals such as cattle and sheep can harbor pathogenic <i>E. coli</i> asymptomatically and are a major source of contamination in many cases. However consumption of pathogenic <i>E. coli</i> by humans can cause abdominal pain and bloody diarrhea requiring hospitalization, and in severe cases causes death. |
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- | The Centers for Disease Control and Prevention (CDC) estimates that 110,000 cases occur annually in the United States alone. Europe had a large outbreak of pathogenic <i>E. coli</i> ilnesses in 2011 with more than 4000 confirmed illnesses and 50 deaths. Japan had 16 <i>E. coli</i> outbreaks in 1996 affecting 7,900 people and resulting in 12 deaths. In Swaziland | + | In Alberta, we experienced an outbreak in late 2012, this outbreak was the result of pathogenic <i>E. coli</i> contaminated beef and led to the largest meat recall in Canadian history. The Centers for Disease Control and Prevention (CDC) estimates that 110,000 cases occur annually in the United States alone. Many other cases are avoided by large food recalls in cases where the source of contamination is identified. Europe had a large outbreak of pathogenic <i>E. coli</i> ilnesses in 2011 with more than 4000 confirmed illnesses and 50 deaths. Japan had 16 <i>E. coli</i> outbreaks in 1996 affecting 7,900 people and resulting in 12 deaths. In Swaziland Africa one outbreak caused over 2,000 deaths due to dead cattle contaminating the drinking water. Pathogenic <i>E. coli</i> is also a major issue in the developing world and the consequences are exacerbated by the poor sanitation and rudimentary health network, the greatest risks are associated with children, the elderly and HIV positive patients. Quick detection of the pathogen is critical to reduce waste, stop the spread of illness, and ultimately save lives. Due to the time it takes to culture <i>E. coli</i> and amplify target gene sequences, current beef testing methods take a long time to complete and can only identify contamination many hours after the meat has been processed. |
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Revision as of 04:08, 28 October 2013
- Intro
- Problem
- Situation
- Idea
- Solution
- Platform
Our Project
Pathogenic Enterohaemorrhagic E. coli serotype O157:H7 is a major source of foodborne illness worldwide. Outbreaks like these cause death, hospitalizations, massive economic losses and an overall loss of consumer confidence in food safety. Ruminating animals such as cattle and sheep can harbor pathogenic E. coli asymptomatically and are a major source of contamination in many cases. However consumption of pathogenic E. coli by humans can cause abdominal pain and bloody diarrhea requiring hospitalization, and in severe cases causes death.
In Alberta, we experienced an outbreak in late 2012, this outbreak was the result of pathogenic E. coli contaminated beef and led to the largest meat recall in Canadian history. The Centers for Disease Control and Prevention (CDC) estimates that 110,000 cases occur annually in the United States alone. Many other cases are avoided by large food recalls in cases where the source of contamination is identified. Europe had a large outbreak of pathogenic E. coli ilnesses in 2011 with more than 4000 confirmed illnesses and 50 deaths. Japan had 16 E. coli outbreaks in 1996 affecting 7,900 people and resulting in 12 deaths. In Swaziland Africa one outbreak caused over 2,000 deaths due to dead cattle contaminating the drinking water. Pathogenic E. coli is also a major issue in the developing world and the consequences are exacerbated by the poor sanitation and rudimentary health network, the greatest risks are associated with children, the elderly and HIV positive patients. Quick detection of the pathogen is critical to reduce waste, stop the spread of illness, and ultimately save lives. Due to the time it takes to culture E. coli and amplify target gene sequences, current beef testing methods take a long time to complete and can only identify contamination many hours after the meat has been processed.
One of the factors that amplifies the risk of E. coli outbreaks is the lack of a rapid, on-site detection method. In response, our team is using synthetic biology to develop a system to rapidly detect the presence of EHEC in the beef industry. Although we designed our sensor for testing in the beef industry provides, we designed it so that it can also detect EHEC in things like vegetables, water, and other livestock. By using engineered biological nanoparticles and DNA binding proteins, we can specifically detect pathogenic DNA sequences. Our biosensor functions at the genomic level to detect the presence of EHEC in a sample. This system allows us to quickly identify contamination during meat processing and also provides the ability to pre-screen cattle to limit potential sources of contamination before cattle enter the processing plant. Our system not only provides a powerful new tool for food safety, but also has the potential to act as a platform for the rapid detection of target organisms. These tests could hugely impact a myriad of industry applications ranging from the everyday, large-scale use in food safety testing and medical screening, to the specialized use in the detection and monitoring of biological weapons and hazards.
Our Sensor
Check out what we did in the lab this summer to detect E. coli contamination! Learn about the design of our detector, linker, and reporter as well as our prototype and modelling.
Data Page
Want to see a summary of what we accomplished this season? Click here to check out our data page where we outline all of the work that we’ve done to date!
Human Practices
Check out how Human Practices helped guide the development of our project. Learn how we spent time talking to various experts in the industry to design our project with our end-user in mind.
Collaboration
We worked hard with the Paris-Bettencourt team this season to develop useful tools for the rest of the iGEM community. Click here to find out what our collaboration can add to iGEM.