Plasmid Loss Genetic Safeguards. igem Giant Jamboree 2014
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- Sydney Riley
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1 Plasmid Loss Genetic Safeguards igem Giant Jamboree 2014
2 1. Introduction 2. Modelling 3. Wet lab 4. Human Practices Agenda
3 First up: Introduction
4 Imagine this scenario Massive oil spill! Image credits: Wikipedia
5 What do we do about it? 1. Engineer synthetic organisms 2. Let them eat oil 3.??? 4. Profit!!!
6 But wait! Is it really safe to just have these synthetic organisms floating around? Where will they go? What will they do to the environment?
7 Biocontainment That s why we need biocontainment! Some way to clean up our synthetic organisms after they re done their job We want to avoid the rabbits in Australia situation!
8 So, how can we contain our Kill-switch A toxic gene controlled by inducible promoter Can be turned on to kill the cell bugs?
9 Actually, it s not quite so simple Sounds simple! Organisms are not simple machines They mutate! Image credits: Calgary 2012 igem team Mutate or die
10 Kill Switch: the movie Let s illustrate this with an animation Where Plasmo? He s the mutant hiding among the other cells.
11 Kill Switch: the movie We turn on the kill switch, cells start dying Plasmo has a mutation that makes him resistant to the kill switch
12 Kill Switch: the movie We turn on the kill switch, cells start dying Plasmo has a mutation that makes him resistant to the kill switch
13 Kill Switch: the movie Plasmo is the only one left! Remember: Plasmo still has the synthetic plasmid! He has escaped biocontainment
14 Kill Switch: the movie Plasmo replicates quickly, since there are no competitors Remember: Plasmo still has the synthetic plasmid! He has escaped biocontainment
15 Kill Switch: the movie Plasmo replicates quickly, since there are no competitors Remember: Plasmo still has the synthetic plasmid! He has escaped biocontainment
16 Kill Switch: the movie Now it s super easy to find Plasmo He s everywhere! Remember: Plasmo still has the synthetic plasmid! He has escaped biocontainment
17 Is there another way? Yes! Let s think about it from another angle We don t need to actually kill the synthetic organisms We really only need to get rid of the synthetic genes
18 Plasmid Loss Self-destructing plasmid Synthetic organism with synthetic genes Wild-type organism No synthetic genes
19 How is that any different? Kill switch: Imposes selective pressure against nonmutants Gives mutants selective advantage Plasmid loss Does not impose selective pressure on non-mutants Mutants have no selective advantage
20 Plasmid Loss: the movie Another animation! Where s Plasmo? He s the mutant hiding among the other cells.
21 Plasmid Loss: the movie We turn on plasmid loss, cells start reverting to wild-type Plasmo has a mutation that makes him resistant to plasmid loss as well
22 Plasmid Loss: the movie We turn on plasmid loss, cells start reverting to wild-type Plasmo has a mutation that makes him resistant to plasmid loss as well
23 Plasmid Loss: the movie All the non-mutants have reverted to wild-type Plasmo is still there, but it s still hard to find him since there are lots of wildtype around
24 Plasmid Loss: the movie Mutants are kept at a low proportion of the overall population Plasmo can t replicate quickly due to competition.
25 But wait! There s more Genetic Drift Let s say there s only enough food for half the cells to reproduce each generation
26 The die is cast! Half of the cells are randomly chosen to reproduce Plasmo was unlucky! He did not survive
27 The next generation The mutants have been lost from the population due to genetic drift Where s Plasmo? He s not there anymore!
28 The Big Picture Is the plasmid loss system foolproof? Unfortunately not. In most cases It s better than kill -switch But even in the worst case It s no worse than kill-switch Still need multiple lines of defence! (Paris Bettencourt 2012)
29 Next up: Modeling & Simulation
30 Model Buildup
31 Imagine in a synthetic biology lab
32
33 Plasmid Loss... Activate!
34
35 Wild Type Mutant Competing factors a, b Growth Rate: r 1, r 2 Carrying Capacity: K 1, K 2 All determined without competition
36 Wild Type Mutant a b r 1, K 1 r 2, K 2
37 Wild Type Mutant dx dt = r 1x(1 x K 1 ) dy dt = r 2y(1 y K 2 )
38 Wild Type Mutant dx dt = r 1x(1 x + ay K 1 ) dy dt = r 2y(1 y + bx K 2 )
39 Wild Type Mutant We have the model!
40 t 0 t 1 t 2 Deterministic Process Next, t 2 = 4
41 ?? t 0 t 1 t 2 Random Process(Poisson) Next, expected t 2 = 4
42 Bottleneck Effect Genetic Drift
43 Making Assumptions & Determining Parameters
44 Assumptions total initial population = carrying capcity
45 Assumptions Infinite nutrients, Infinite bottleneck effects Limited space
46 Experimentally Determined Growth Rate of wild type Carrying Capacity Parameters
47 Determined Theoretically Growth Rate of Mutant
48 Tested in a Range Competing Factors Bottleneck Effectiveness
49 Simulation
50
51 The Battle Begins...
52 Initial Condition WT MUT = 9 1 Bottlenecks Mutant pop decreases each time Plasmid Loss
53 Initial Condition WT MUT = 9 1 Plasmid Loss
54 Statistics from hundreds of battles
55 Competing factors vs. Extinction time Mutant is slightly more competitive than wt, but it still goes extinct! Stable coexistence Mutant less competitive, Goes extinct quickly Mutant is much more competitive, wild-type goes extinct
56 Bottleneck Effectiveness & Initial Condition vs. Extinction time Less Severe Bottleneck No Extinction, Mutant survived More Severe Bottleneck Plasmid Loss efficiency, population ratio
57 Our system is most effective when: Less competitive mutant Effective Bottleneck High plasmid loss efficiency Conclusion
58 Next up: Wet Lab Implementation Experimental Design Problems Encountered
59 Implementation
60 Goal: inducible self-destructing plasmid Implemented with CRISPR/Cas9 Is like a Customizable Restriction Enzyme Overview Synthetic Genes
61 Building on previous work CRISPR/Cas9 part exists in the registry as pcas9 Bba_K Problem: existing part does not facilitate inducible expression Our job: Create and biobrick inducible version of CRISPR
62 Creating an inducible pcas9 Original pcas9 Our redesigned pcas9
63 Experimental Design
64 Target practice
65 CRISPR Cutting Assay Transformation 1: Set up the target White colonies -> Red colonies Transformation 2: Add CRISPR Observe results Red colonies -> White colonies Note: target plasmid and CRISPR plasmid must have different antibiotic resistances
66 Some Possible Outcomes 100% Efficiency all white 50% Efficiency half white, half red 0% Efficiency all red
67 Characterisation Anderson high/mid/low constitutive Different levels of cas9 expression pbad, plac, prha, Tet-off/Tet-on Inducible expression Leaky expression
68 Plasmid Assembly Gibson assembly promoter, cas9 + array, tracrrna, ptrc99a 4 fragment assembly
69 Problems Encountered
70 Assembly Problems Problem: All our eggs in one basket Did not get specific assembly form Gibson assembly Started biobrick assembly too late in the project cycle But we did manage to biobrick one part BBa_K tracr RNA to be used with Cas9 Image credits: Uppsala igem team via igem memes
71 Full list of parts we designed BBa_K tracr RNA to be used with Cas9 BBa_K Cas9 and crrna array BBa_K rearranged CRISPR/Cas9 system without promoter BBa_K CRISPR/Cas9 system with Anderson high-expression constitutive promoter BBa_K CRISPR/Cas9 system with Anderson medium-expression constitutive promoter BBa_K CRISPR/Cas9 system with Anderson low-expression constitutive promoter BBa_K CRISPR/Cas9 system with pbad inducible promoter BBa_K CRISPR/Cas9 system with plac inducible promoter BBa_K CRISPR/Cas9 system with prha inducible promoter BBa_K Randomized protospacer for CRISPR/Cas9 System BBa_K RFP-Targeting protospacer for CRISPR/Cas9 system BBa_K Low-copy plasmid ptrc99a (trc promoter and laci removed)
72 Our contribution to the The sequences of all the parts we designed are on the registry They are annotated Future teams can easily understand where the CRISPR components are located registry
73 Next up: Human Practices
74 A Guide on How to Start a Community Laboratory
75 Synthetic Biology Public Workshop In collaboration with DIYbio
76
77 Plasonomics
78
79 Attributions
80 Scientific Advisors Graphic Design Boris Steipe Naveen Venayak Anson Tse Plasonomics Kevin Lu Victor Kofia Temi Ayeni
81 Thank you for listening! Questions?