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University of Wisconsin
Madison             2011


 Evolving
Biosensors
Biofuels
Biosensor
Tuning Biosensors
 s
Sharing
UW-Madison&
biofuels
Biofuels
can help solve
 the energy
  crisis
But…
analysis
requires high-tech
     equipment
Biofuels
  How can iGEM teams detect biofuels?




Biosensor
Tuning Biosensors
 s
Sharing
What are
biosensors ?
 and how can they help

  Natural sensor system
  +       Reporter gene
             Biosensor
We can sense
                                                   ethanol
                                                     with 2 components



Vangai, A, et al. (2009). Analysis of the promoter activities of the genes encoding three
quinoprotein alcohol dehydrogenases in Pseudomonas putida HK5. Microbiology 155, 594-603.
100

                               90

                               80
Fluorescence (OD normalized)




                               70

                               60

                               50

                               40

                               30

                               20
                                                                                Uninduced
                               10
                                                                                Induced
                                0
                                 0.0%   1.0%         2.0%         3.0%          4.0%        5.0%

                                               Concentration of Ethanol (v/v)
Alkanes are sensed with one




Smits, T, et al. (2001). New alkane-responsive expression vectors for
Escherichia coli and Pseudomonas. Plasmid 46, 16-24.
better?
How can we make our sensors
Biofuels
    How can iGEM teams detect biofuels?

Biosensor
   How can we improve our biosensors?
 s


Tuning Biosensors
Sharing
Directed
evolution
    with K634007



RFP sacB     kanR
RFP sacB   kanR
Sucrose
        0.8

        0.7
                          sensitivity?
        0.6
                                               0% Sucrose
        0.5                                    0.01%
                                               0.03%
OD600




        0.4
                                               0.05%
        0.3                                    0.10%
                                               0.50%
        0.2
                                               1.00%
        0.1                                    2.50%
                                               5.00%
      0
Time(h) 0



   RFP sacB                                kan
              3   6   9    12   15   18   21


                                              R
Sucrose
        0.8


        0.7
                            mutants
        0.6


        0.5


        0.4
OD600




        0.3
                                           Initial K634007 culture
        0.2
                                           Post-counter selection cells

        0.1                                Plasmid of post-counter selection
                                           cells in new DH10B
          0
               0   5   10             15              20                       25
                            Time(h)




               RFP sacB                               kanR
        -0.1
Kanamycin
        0.8
        0.7                 resistance
        0.6
        0.5
OD600




        0.4
                                                         non-induced
        0.3                                              induced

        0.2
        0.1
         0
              0   1          2           3           4             5




    RFP sacB                                     kan
                      Kanamycin concentration (mM)


                                                    R
Evolve
  anything!
Biofuels
    How can iGEM teams detect biofuels?

Biosensor
   How can we improve our biosensors?
 s
Tuning Biosensors
    Can directed evolution help iGEM teams?




Sharing
Reporter A1
Directed    Reporter A2
Evolution
            Reporter A3
I have all these mutants…
Now what?
Introducing
mutant libraries
Introducing
mutant libraries
Introducing
mutant libraries
Mutagenesis Tree
Better organization
        equals
  better registry
Biofuels
  How can iGEM teams detect biofuels?

Biosensors
  How can we improve our biosensors?

Tuning Biosensors
  Powerful in theory, what comes next?

Sharing
  New tools require new technologies.
Increasing
 awareness
Increasing
 awareness
Increasing
 awareness


@LabBadger
Tremendous
thanks to:   The College of Engineering
             The students of the Pfleger lab
             The GLBRC, NSEC, and MRSEC
             The UW-Madison REU program
             iGEM HQ and the registry
             John Greenler and the GLBRC
Questions?
  (I know you have some)

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UW-Madison's 2011 iGEM presentation

Notes de l'éditeur

  1. Centers funded by the DoE
  2. 10% oxygenate components to burn cleaner originally. 40% of corn goes to ethanol (look this up!)Credit right Amyris Biotech
  3. More general (proteins/RNAs, turn something on somehow)
  4. J-to-E
  5. Shorten like hell
  6. 10h
  7. Directed evolution is an extremely powerful process that allows us to fine tune reporters to our liking but one of its side effects is that during the mutagenesis process, we end with a large collection of mutants or a mutant library. Adding these mutants to the registry allows other teams to access to our previous work and would eventually help create a diverse library of mutants.
  8. The current method of submitting these mutants would be to create a brand new part for each mutant.The is problem with this is that there is no native method of indicating the relation between the mutagenized part and its parent part without just explicitly stating it in the description and This becomes an issue as more and more mutants are added and the registry gets flooded with mutants, making navigation more difficult.
  9. What we propose is to introduce native functions to the registry that allows for the addition of mutant libraries in a clear and well-organized fashion. Currently, this is what the top bar right now looks like the registry.First we propose to add another tab called the mutant library tab.
  10. This tab would display any and all information regarding mutants related to the part if applicable as well as allow the modification of the mutant library.
  11. The real meat and potatoes of our proposal is in our second addition, which appends any part that has a mutant library with a mutant library information section shown in the red box above. It would contain an auto-generated mutagenesis tree as well as display information about the part’s direct offspring.
  12. Taking a look at the mutagenesis tree itself, we see that parent-offspring relations are marked with a solid line and arranged vertically, while sibling relations are marked with a dashed line and arranged horizontally.Upon mouseover of any part, we see a popup displaying a condensed version of the parents, siblings, offspring parts in addition to the ability to edit this library.
  13. If our mutant library proposal is incorporated into the registry. We believe that we will create a much more organized system in relation to mutants which will provide a much more user friendly experience to future users. By making the system easy to use, we hope that teams will take advantage of it and keep improving the registry.
  14. So we talked a little about sharing mutangenized parts, but with iGEM, sharing doesn’t have to just mean parts…”
  15. We also wanted to share our experiences in being a part of iGEM to others.This is a picture taken of the national science Olympiad jamboree in which we set up a table and talked about what we learned from igem and synthethic biology hollisiticallyWe also created a game that involved the pairing of reporters, inducers and genes which we plan on submitting to community bricks.
  16. In addition, we also served as peer mentors to the madion’s REU program. We represented the synthetic biology division among the other sciences at the REU program. This is part of our team at the poster session near the end of the summer.
  17. Finally, we also pursued outreach through social media. You guys can follow us at LabBadger to see how our project is progressing in the future.
  18. We would like to thank the college of engineering at madison,JohnGreenler, Andrew Greenberg and the great lakes bioenergy research center for funding our efforts.
  19. Any questions?