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John Marshall Department of Biomathematics UCLA. Dynamics of Transposable Elements in Genetically Modified Mosquitoes. Malaria control using genetically modified mosquitoes. The transgene construct. Meiotic drive and HWE. P ww + 2Q wt + R tt. wt x tt -> 4 QR. ww x ww -> P 2 ww.
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John Marshall Department of Biomathematics UCLA Dynamics of Transposable Elements in Genetically Modified Mosquitoes
Meiotic drive and HWE P ww + 2Q wt + R tt wt x tt -> 4QR ww x ww -> P2ww ½ ½ t t ½(1-i) w wtwt ½(1+i) t tttt tt x tt -> R2tt ww x tt -> 2PRwt wt x wt -> 4Q2 wt x ww -> 4PQ ½ ½ w w ½(1-i) w wwww ½(1+i) t wtwt ½(1-i) ½(1-i) w t ½(1-i) w wwwt ½(1+i) t wttt
Repression of replicative transposition Mechanisms have evolved to achieve a balance between: • Selection for high element copy number • Selection for hosts with fewer deleterious mutations Mechanisms: • Host factors involved in (transposase) gene silencing • Post-transcriptional regulation of the transposable element by itself Models:
Kinetic model of self-repression of transposition in Mariner
Costs to mosquito fitness with increasing element copy number Insertional mutagenesis: • Each element copy can disrupt a functioning gene • Fitness cost proportional to n Ectopic recombination: • Recombination can occur between elements at different sites • Results in deleterious chromosomal rearrangements • Fitness cost proportional to n2 Act of transposition: • Transposition can create nicks in chromosomes • Fitness cost proportional to un Models:
Proposed Markov chain model n-1 n n+1
Solving the system of ODEs From probability theory: • Define the generating function, • Manipulate to obtain mean element copy number at time t
Proposed branching process model Continuous time haploid branching process: i-1 i i+1 Continuous time diploid branching process: • Consider the early stages of the spread of a transposable element • Imagine a reservoir of uninfected hosts • Assume matings involving infected hosts will be with uninfected hosts • For a gamete derived from a cell with i copies of the element it is possible to generate offspring with jE{0, 1, 2,…, i} copies • Assume each offspring genotype occurs with equal probability,
Diploid branching process model i-2 i-1 i i+1 …
Solving the proposed branching process model Populating the branching process matrix: The solution to the branching process is: The branching process is supercritical if its dominant eigenvalue is positive: • Check for positive eigenvalue using Person-Frobenius Theorem • Or look for positive roots of the characteristic equaiton, Problems: • Only considers initial dynamics • Recombination are frequently of medium copy number • Ignores tendency for local transposition, recombination, etc.
Site-specific model Motivation: • Preferential transposition to nearby sites • Site-varying fitness costs • Recombination in diploid hosts Label states according to their occupancy: • T sites available for TE to insert into • 2T possible states numbered from 0 to 2T-1 {0 0 1 0} 2 TE {0 1 0 1} 9 TE TE {1 1 0 0} 12 TE TE
Local preference for transposition Replicative transposition: TE TE TE TE TE TE TE (autoregulation) (preference for local transposition) Non-replicative transposition: TE TE TE TE (preference for local transposition)
First and second order perturbation approximations First order perturbation approximation: Second order perturbation approximation:
Markov chain model of dissociation n-1,m+1 n,m+1 n-1,m n,m n+1,m n+1,m-1 n,m-1