bccs bristol project agrecoli
play

BCCS-Bristol Project: agrEcoli Team Neeraj Oak BCCS Katharine - PowerPoint PPT Presentation

BCCS-Bristol Project: agrEcoli Team Neeraj Oak BCCS Katharine Coyte Biology Thomas Todd BCCS Roz Sandwell Engineering Maths Thomas Layland Biochemistry Antoni Matyjaszkiewicz Engineering Maths Kira Kowalska Engineering Maths Track-


  1. BCCS-Bristol Project: agrEcoli Team Neeraj Oak BCCS Katharine Coyte Biology Thomas Todd BCCS Roz Sandwell Engineering Maths Thomas Layland Biochemistry Antoni Matyjaszkiewicz Engineering Maths Kira Kowalska Engineering Maths Track- Food & Energy

  2. Contents What is agrEcoli? Part design and construction Modelling Publicising agrEcoli

  3. Precision Farming  Aimed at arable farmers  Fertilise only where needed  Saves money  Saves fertiliser

  4. Environmental Costs  7 Tonnes of CO 2 Equivalent → 1 tonne of fertiliser  Causes eutrophication

  5. Top Soil Deep Soil Soil Cross-Section

  6. Nutrients Location

  7. Contents What is agrEcoli? Part design and construction Modelling Publicising agrEcoli

  8. Part Design Nitrate sensitive promoter PyeaR T T T T RBS GFP Why PyeaR?  Proteins involved native to E. coli  Independent of metabolic state

  9. How does PyeaR work? Nitrates Nitrate breakdown products PyeaR NsrR RBS GFP

  10. How does PyeaR work? PyeaR NsrR RBS GFP

  11. How does PyeaR work? PyeaR PyeaR T T T T RBS GFP Why GFP?  Detectable  Quantifiable  No substrate required

  12. Results and Initial Characterization  Tested transformants in solution containing varying levels of potassium nitrate  It works! 

  13. Detecting Signal in Soil  Signal needs to be detectable in soil  Performed several experiments looking at behaviour of E. coli constitutively expressing GFP in soil  Raised two major problems:  Hard to detect  Many weakly fluorescing bacteria or a few strong ones?  Need to know the number of cells to map from fluorescence magnitude to concentration of nitrate

  14. Using a Ratio  Created E. coli constitutively expressing RFP  Measure the ratio of red to green MG1655  Compare this against some scale to indicate soil nitrate GFP RFP levels  How to solve the problem of colony size difference?  The Ratio

  15. Using a Ratio  Consulted with farmers about typical soil nitrate levels  Tested the transformants further within this range: 0 – 2mM potassium nitrate  Used this data to calculate a relationship between signal ratio and nitrate level

  16. Beads  How to solve the problem of signal detection?  A higher concentration of agrEcoli  Better access to nitrate  Cell encapsulation in gel facilitates this  Gellan gel Pipette drops Cool, mix with Make mixture, into ionic Agitate and dense agrEcoli heat solution to store in broth slurry initiate gellation

  17. Contents What is agrEcoli? Part design and construction Modelling Publicising agrEcoli

  18. BSim through the ages BSim 2008 – stochastic agent based simulation in a fluid environment BSim 2009 – robust modular components, well parameterised BSim 2010 – Full graphical user interface, micro- environmental interactions

  19. BSim through the ages BSim 2008 – stochastic agent based simulation in a fluid environment BSim 2009 – robust modular components, well parameterised BSim 2010 – Full graphical user interface, micro- environmental interactions

  20. BSim through the ages BSim 2008 – stochastic agent based simulation in a fluid environment BSim 2009 – robust modular components, well parameterised BSim 2010 – Full graphical user interface, micro- environmental interactions

  21. BSim through the ages BSim 2008 – stochastic agent based simulation in a fluid environment BSim 2009 – robust modular components, well parameterised BSim 2010 – Full graphical user interface, micro- environmental interactions

  22. BSim through the ages… BSim 2008 – stochastic agent based simulation in a fluid environment BSim 2009 – robust modular components, well parameterised BSim 2010 – Full graphical user interface, micro- environmental interactions

  23. Modelling Environmental Interactions  Cell encapsulation  Micro fluidics  Bio-films

  24. New Modelling Capabilities

  25. New Modelling Capabilities

  26. Modelling the Beads Confocal scan of bead Create mesh Model in BSim

  27. BSim Feature Comparison Feature GUI Intracellular Dynamics Multicellular Dynamics Environmental Interaction

  28. Contents What is agrEcoli? Part design and construction Modelling Publicising agrEcoli

  29. Wider context of our research  Functional prototype  Engaging the public in synthetic biology  Our project as a hypothetical product  Building on previous teams’ work  Our new idea: a publicity campaign

  30. Public perception  More public information required  Scientific community input  Safety and security  Opinions forming on synthetic biology

  31. Product Information Flyer product description safety features environmental motivation E. coli & legislation information

  32. What can we do with this campaign?  Bringing real beads to market  Legalities of releasing GMOs  Explore patenting and protection  Acquire endorsements from trusted organisations  For next year’s competition  Collaboration: many team leaflets advertising their products  Science fairs and public discussion  Publicity approach promotes our research and its potential

  33. Summary  Well characterised working prototype  Novel delivery method  Extended our modelling framework, BSim, and used it to analyse behaviour in beads  New approach to human practices through publicising agrEcoli  See wiki for more- 2010.igem.org/Team:BCCS-Bristol

  34. Sponsors Supervisors Nigel Savery Biochemistry Claire Grierson Biology Mario di Bernardo Engineering Maths Krasimira Tsaneva-Atanasova Engineering Maths Caroline Colijn Engineering Maths John Hogan BCCS Paul Verkade Biochemistry

Recommend


More recommend