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Evolution of Pathogen Virulence

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Evolution of. Pathogen Virulence. Functionally Dependent Life-History Traits ... Evolution and Epidemiology. Dynamics Host-Pathogen System. Governed by Evolved ... – PowerPoint PPT presentation

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Title: Evolution of Pathogen Virulence


1
Evolution of Pathogen Virulence
  • Functionally Dependent Life-History Traits
  • Pathogen-Strain Competition
  • Spatially Structured Transmission
  • Superinfection
  • Limit Virulence

2
Evolution and Epidemiology
  • Dynamics Host-Pathogen System
  • Governed by Evolved Parameters
  • In Turn, Population Dynamics Defines Context
  • For Selective Evolution
  • Adaptive Dynamics Interplay of Ecology,
    Evolution
  • Major Advance in Population Biology

3
Virulence
  • Property Host-Parasite Interaction
  • Parasites Strategy for Exploiting Host
  • Affects Correlated Demographic Traits
  • Often Measure Pathogenicity
  • Consequences for Infected Host

4
Increased Parasite Virulence
  • Faster Consumption of Host Resources ?
  • (1) Pathogen Reproductive Rate Increases
  • and
  • (2a) Hosts Mortality Rate Increases
  • and/or
  • (2b) Rate of Clearance by Immune System
    Increases
  • and/or
  • (2c) Hosts Fecundity Declines

5
Virulence Trade-Off
  • Antagonistic Pleiotropy
  • Pathogen Increases Propagule Production (Hence,
    Infection Transmission) Rate
  • Duration of Infectious Period Decreases
  • Evidence Reviewed

6
How Does Virulence Evolve?
  • Pathogen-Stain Competition
  • ? 2 Strains Differ in Virulence (Resident,
    Mutant)
  • Compete Between (and) Within Hosts
  • 3 Modes of Strain Competition

7
Pathogen-Strain Competition
  • 1. Cross-Reactive Immunity
  • Pre-emptive, Strictly Between-Host
  • 2. Coinfection
  • Scramble, Within Between-Host
  • 3. Superinfection
  • Interference, Within Between-Host

8
Cross-Protective Immunity
  • One Strain per Infected Host
  • Strain Competition Between Hosts Only
  • Preemptive Competition

9
Cross-Protective Immunity
  • Assume Homogeneous Mixing/Mean-Field Model
  • Density-dependent Transmission Dybamics
  • Optimally Virulent Strain, Max R0
  • Minimizes Equilibrium Density Susceptible Hosts
  • No Strain Coexistence (Pure ESS)

10
Cross-Protective Immunity
  • Homogeneous Mixing, No Recovery
  • Transmission-Infectious Period Trade-off
  • ?(?) Transmission Efficiency, Direct Contact
  • ?(?) Virulence, Extra Host Mortality
  • ? Host Exploitation Strategy d?/d? 0

11
Natural Selection Optimize ?
  • Invasion Dynamics (Conceptual Core)
  • Can Rare Mutant ? Invade Resident ? at
    ecological equilibrium?
  • This case Max R0(? )
  • ? Background Host Mortality
  • S Susceptible Density

12
Natural Selection Optimize ?
13
Natural Selection Optimize ?
14
Natural Selection Optimize ?von Baalen
Sabelis (1995, Am Nat)
15
Natural Selection Optimize ?
  • ? ESS, Maximizes R0
  • ESS May Lead to Intermediate Virulence
  • in Absence of Within-Host Competition
  • No Strain-Coexistence Possible
  • Under Well-mixed, Preemptive Competition

16
Contact Structure, Van Baalen (2000)
17
SPATIAL SUPERINFECTION
18
SPATIAL SUPERINFECTION
  • Virulent Can Displace Avirulent Strain
  • Transmission (Virulence) No Recovery
  • Key Superinfection (Virulence Difference)
  • Within Between-Host Competition
  • Neighborhood Size 8, 48

19
Develop Theory Models
  • 1. Mean-Field Analysis Homogeneous Mixing
  • 2. Pair Approximation Local Correlation
  • 3. Simulate Full Stochastic Spatial Model
  • Large-Scale Correlated Fluctuations,
  • Strong Clustering Possible

20
Develop Theory Deduce Predictions
  • Pairwise Invasion Analyses Adaptive Dynamics
  • Resident Strain at Ecological Equilibrium
  • Can Invading Strain (Mutant) Advance?
  • Assumed Time Scales
  • Convergence Stability Evolutionary Stability

21
Mean-Field Solution
  • Host Alone,
  • Endemic Strain,
  • Invasion Analysis
  • Virulent Invades
  • Avirulent Invades

?(?i) (?i)?/? 0
22
Mean-Field Results
  • Pairwise Invasion
  • Evolution to
  • Criticality
  • Coexistence
  • Niche Difference

23
Spatial Model Results
  • Increased Virulence
  • Decreased Infection
  • Increased Clustering
  • Pair Correlation Model OK

24
Adaptive Dynamics Spatial Process
  • Pair Approximation
  • Convergent Stable
  • Evolutionarily Stable
  • (Local ESS)
  • Virulence Constrained
  • By Structure

25
Adaptive Dynamics Spatial Process
  • Simulation
  • Max Virulence Lower
  • Local ESS Reduced

26
Adaptive Dynamics Spatial Process
  • Weaker Competitive Asymmetry Via
  • Superinfection
  • Reduce ESS
  • Reduce Coexistence

27
Predict
  • 1. Spatial Structure Constrains Maximal
    Virulence
  • Capable of Dynamic Persistence, Through
  • Extinction of Highly Virulent Strains
  • 2. Spatial Structure Reduces Evolutionarily
    Stable
  • Level of Virulence
  • 3. Larger Neighborhood Relaxes Constraint,
  • Dynamic Penalty of Clustering Attenuated

28
Predict
  • Spatial Structure Promotes Coexistence
  • High Transmission/Virulence,
  • Poor Interference Competitor
  • and
  • Low Transmission/Virulence,
  • Advantage of Superinfection
  • 5. Coexistence Increases with Neighborhood Size
  • 6. Comp. Asymmetry Increases Coexistence

29
Basic Conceptual Models
  • Virulence Diversity Among Host-Pathogen Systems
  • Coexisting Strains, Single Pathogen,
  • Varying in Virulence
  • Hyperparasites Hypovirulence
  • Sterilizing Pathogens

30
Basic Conceptual Models
  • Infection Transmission Mode
  • Direct Horizontal More Virulent Than Vertical
  • Vector-Borne More Virulent Than Direct Contact
  • FLP Curse of the Pharaoh, More Virulent?

31
Basic Conceptual Models
  • Within-Host Dynamics
  • Parasite, Specific Immune Cell Densities
  • Affects Between-Host Transmission
  • Population Dynamics
  • Host-Pathogen Coevolution
  • Transmission, Resistance
  • Virulence, Optimal Immune Response

32
Basic Conceptual Models
  • Coevolution of Pathogens and Human Culture
  • Adoption of Agriculture
  • Urbanization
  • Antibiotics,
  • Disease Prevalence and Host Social Group Size
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