The effect of plasmid copy number

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[[Image:dc_copy_number.jpg]]
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Cell survival in our selection process will require one or more plasmids to be sorted in the correct order and orientation. We used the '''binomial probability distribution''' to model cell survival as a function of number of plasmids and the probability of each plasmid being sorted.  This model assumes that the flipping and sorting of each plasmid is independent of the others in the cell.  In this model, the probability of cell survival is given by:
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[[Image:dc_binomial.jpg]]
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where
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* ''n'' is the plasmid copy number
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* ''p'' is the probability of a single plasmid being sorted in the correct order and orientation
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* ''x'' is the number of plasmids that must be sorted for the cell to survive the antibiotic selection
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Simulation results for 4-pancake stacks indicate that the percent of plasmids that will be in the sorted configuration after ''k'' flips ranges between 0 and 0.1.  If the cells have a low-copy number plasmid, we would need to distinguish between cell survival rates of 0.003 and 0.01, for example, to calibrate these two families with the simulation and determine flip rates.  This would be nearly impossibleHowever, with a high-copy number plasmid, we only need to distinguish between 0.45 and 0.87 to distinguish these same two families.
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Although we do not know in advance whether a single plasmid being sorted is sufficient for cell survival, we will be able to try different values of ''x'' in the binomial equation, and compare our cell survival rate to the corresponding probabilities. 
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{|
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|[[Image:dc_copy_number.jpg]]
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|In the case ''x''=0 (i.e., a single sorted plasmid is sufficient for cell survival), the binomial model simplifies to 1 - (1-p)<sup>n</sup>In a 2-pancake stack, ''p''=0.25 after several flips.  Our binomial model tells us that if the cells have a high-copy number plasmid, and just a single sorted plasmid is sufficient for cell survival, then essentially all of the cells will surviveTherefore, a high-copy number plasmid may make it difficult to verify that flipping is occurring, and at what rate.  The effect of a high copy number is less dramatic in the 4-pancake stack, since we should be able to distinguish 0.003 cell survival rate from 0.01 with a low-copy number, as well as distinguish 0.45 cell survival rate from 0.87 with a high-copy number.

Latest revision as of 23:01, 30 October 2006

Cell survival in our selection process will require one or more plasmids to be sorted in the correct order and orientation. We used the binomial probability distribution to model cell survival as a function of number of plasmids and the probability of each plasmid being sorted. This model assumes that the flipping and sorting of each plasmid is independent of the others in the cell. In this model, the probability of cell survival is given by: Dc binomial.jpg where

  • n is the plasmid copy number
  • p is the probability of a single plasmid being sorted in the correct order and orientation
  • x is the number of plasmids that must be sorted for the cell to survive the antibiotic selection

Although we do not know in advance whether a single plasmid being sorted is sufficient for cell survival, we will be able to try different values of x in the binomial equation, and compare our cell survival rate to the corresponding probabilities.

Dc copy number.jpg
In the case x=0 (i.e., a single sorted plasmid is sufficient for cell survival), the binomial model simplifies to 1 - (1-p)n. In a 2-pancake stack, p=0.25 after several flips. Our binomial model tells us that if the cells have a high-copy number plasmid, and just a single sorted plasmid is sufficient for cell survival, then essentially all of the cells will survive. Therefore, a high-copy number plasmid may make it difficult to verify that flipping is occurring, and at what rate. The effect of a high copy number is less dramatic in the 4-pancake stack, since we should be able to distinguish 0.003 cell survival rate from 0.01 with a low-copy number, as well as distinguish 0.45 cell survival rate from 0.87 with a high-copy number.
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