Emergence of elevated levels of multiple infection in spatial host-virus dynamics - Bradford Taylor
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Transcript of Emergence of elevated levels of multiple infection in spatial host-virus dynamics - Bradford Taylor
Confidence in parameter estimation from epidemic data
Emergence of elevated levels of multiple infection in spatial host-virus dynamicsBradford Taylor1, Catherine Penington2, Joshua Weitz3,1 1School of Physics and 3School of Biology, Georgia Institute of Technology2School of Mathematical Sciences, Queensland University of Technologyhttp://ecotheory.biology.gatech.eduQuantitative Laws II
Multiple infection allows intracellular interactions between viruses
La Scola et al, Nature (2008)Coinfection alters ecological parameters
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Multiple infections alter evolutionary rates due to shared resources
Recombination vs. Complementation
Multiple infection rates are unknown in vivo
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How does space affect:the distribution of multiplicity of infection (MOI)?
RM Donlan,Emerg infect dis, 2002
Adsorption mediates clusteringLow adsorptionHigh adsorption
Well-mixed model dynamics
HostInfectedhostsViruses
Well-mixed model yields geometric MOI distribution
HostInfectedhostsViruses
Geometric distribution for MOI
MOI distribution follows geometric distribution for low adsorption
Clustered MOI distributions feature fat tails
How many viruses are colocated with a host of a specific MOI?MOI Layer (internal viruses)Viral Layer (external viruses)11
How many viruses are colocated with a host of a specific MOI?MOI Layer (internal viruses)Viral Layer (external viruses)
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How many viruses are colocated with a host of a specific MOI?MOI Layer (internal viruses)Viral Layer (external viruses)
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How many viruses are colocated with a host of a specific MOI?MOI Layer (internal viruses)Viral Layer (external viruses)
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Random dispersal gives Poisson distribution of viruses
15No clusteringclustering
Clustered Viral distribution skew right with increasing MOI16No clusteringclustering
Clustered Viral distribution skew right with increasing MOI17No clusteringclustering
Clustered Viral distribution skew right with increasing MOI18No clusteringclustering
Clustered Viral distribution skew right with increasing MOI19No clusteringclustering
Clustered Viral distribution skew right with increasing MOI20No clusteringclustering
Well-mixed model yields geometric MOI distribution
HostInfectedhostsViruses
Deviates from geometric distribution
Clustered MOI distributions feature fat tails
Multiple infection dynamics driven by invasions of clusters
Invasions of larger clusters skews viral distributions
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Invasions of larger clusters skews viral distributions
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ConclusionsHigh adsorption leads to clusteringClustering leads to fat tails in MOI distributionCluster invasions drive the dynamics to skew MOI distributions
Future work: spatial models of Virophageviruses of virusesTaylor et al,JTB (2014)
Paired Entry Mode (PEM)
Independent Entry Mode (IEM)
Desnues et al. PNAS (2012)Fischer and Suttle Science (2011)
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AcknowledgementsWeitz Lab (GaTech)Funding: Quantitative Laws IINSF Physics of Living SystemsJames S Mcdonnell FoundationNerem FellowshipBurroughs Wellcome Fund
AcknowledgementsQuestions?
BP Taylor, CJ Penington, JS WeitzbioRxiv: 048876Weitz Lab (GaTech)Funding: Quantitative Laws IINSF Physics of Living SystemsJames S Mcdonnell FoundationNerem FellowshipBurroughs Wellcome Fund
Analogous PDE model31
Parametrize based on prochlorococcussingletime stepSystem size: 500 x 500 lattice pts= ml
32Backup slideList processes