Specialization as a joint evolution
of host choice and local
adaptation
V. Ravigné (CIRAD Montpellier)
I. Olivieri (ISEM Montpellier)
U. Dieckmann (IIASA Laxenburg)
Speciation and specialization in parasites
Host diversity may be an important source of disruptive selection in parasites
Speciation requires a source of disruptive selection
When does host diversity favor specialization ?
When does specialization associates with parasite diversification ?
Host 1 Host 2
?
Specialist Specialist
Coalition of
specialists Generalist
Host choice and local adaptation
Specialization Host 1 Host 2?
Specialist Specialist Coalition of specialists Generalist Host choice Preference Behavioral adaptation Picky Opportunist Local adaptation Performance Physiological adaptation Specialist GeneralistIngredients of a general but simple model of specialisation
• A local adaptation trait p that determine local fitness (fecundity or survival within each host) : w1(p) and w2(p)
• Two hosts (1 and 2) and a (clonal) parasite population
• How individuals distribute among hosts is controlled by a host choice trait h (proportion of individuals in host 2 after dispersal stage)
Æ may be the result of complex choice mechanisms • Population density regulation
Three simple life cycles combining dispersal, selection and regulation
Regulation Dispersal Mixing Selection Dempster 1955Hard selection
Dispersal Regulation Mixing Selection Levene 1953Soft selection
Dispersal Selection Mixing Regulation Model 3 Common pool Host 1 Host 2 C1 C2 ×(1-h) ×h (p) × w × w1 2(p)Model analysis
Resident parasite population : p, h, N
Mutant parasite population : pm, hm, Nm(t)
Regulation Dispersal Mixing Selection Hard selection Dispersal Regulation Mixing Selection Soft selection Dispersal Selection Mixing Regulation Model 3 C1 C2 m 1 m m 2 m , m m 1 2 (1 ) ( ) ( ) ( , ) ln (1 ) ( ) ( ) p h h w p h w p s p h h w p hw p ⎛ − + ⎞ = ⎜ − + ⎟ ⎝ ⎠ 1 1 m m 2 2 m m , m m 1 1 2 2 1 1 2 2 ( ) 1 ( ) ( , ) ln ( ) ( ) 1 ( ) ( ) p h c w p h c w p h s p h c w p c w p h c w p c w p h ⎛ − ⎞ = ⎜ + ⎟ + − + ⎝ ⎠
(
)
(
m)
1 m m 2 m , m m 1 2 1 2 1 ( ) ( ) ( , ) ln 1 ( ) ( ) p h h w p h w p s p h c c h w p hw p ⎛ − ⎞ = ⎜⎜ + ⎟⎟ − ⎝ ⎠Evolution of local adaptation - Something trivial
Local adaptation trait p
Local fitness w1(p) Optimal phenotype in host 1 Optimal phenotype in both hosts w2(p)
Stabilizing selection toward optimum – no selection for
specialization
Local adaptation trait p
Local fitness
w2(p)
Optimal phenotype in
host 1
Trade-off in local adaptation to both hosts – there exists a
singular strategy
w1(p)
Optimal phenotype in
Evolution of local adaptation – Soft selection – Constant host output W1 W2 p Local fitness Time Mean phenotype p W1 W2 p Local fitness Time Mean phenotype p
p
* Symmetric 0.25 0.5 0.75 1 W1 W2 p Local fitness Time Mean phenotype p 0Decreasing trade-off strength Evolutionary attractor
Branching point
Evolution of local adaptation – Hard selection – Variable host output W1 W2 p Local fitness Time Mean phenotype p
p
* Symmetric case 0.25 0.5 0.75 1 W1 W2 p Local fitness Time Mean phenotype p 0Decreasing trade-off strength Evolutionary attractor Branching point Evolutionary repellor W1 W2 p Local fitness Time Mean phenotype p
Decreasing trade-off strength
Local adaptation trait,
p
* C onstant output Variable output Symmetric distribution of individuals among habitatsBiased distribution of individuals among habitats 0 0.5 1 1.5 0 0.5 1 1.5 0.25 0.5 0.75 1 0.25 0.5 0.75 1 0 Evolutionary attractor Branching point Evolutionary repellor Convex trade-off Concave trade-off Convex trade-off Concave trade-off
w2( p ) w1( p ) w2( p ) w1( p ) w2( p ) w1( p ) Local adaptation trade-off
Concave trade -off
Slightly convex trade-off
Very convex trade-off
Evolution of local adaptation under fixed and unconditional habitat choice Constant host output
(Soft selection)
Branching
2 specialists Variable host output(Hard selection and Model 3)
Evolutionary
attractor
1 intermediate local adaptation phenotypeBistability
1 specialistEvolution of host choice alone 2
h
∗=
c
2 2 1 1 2 2( )
( )
( )
c w p
h
c w p
c w p
∗=
+
Local regulation Global regulation
Constant output Variable output
Soft selection Model 3 Hard selection
0
*
=
h
or 1
Joint evolution of host choice and local adaptation
h
1p
1 0p
1 0 0Local regulation Global regulation
Constant output Variable output
Soft selection Model 3 Hard selection
p
• Only two possible outcomes :
• branching and emergence of a coalition of two extreme specialists • bistability and emergence of a single specialist
Joint evolution of local adaptation and host choice Constant
host outputs Local
Branching
2 specialists regulation(Soft sel.
and Model 3)
Bistability
1 specialist in ideal free distribution
Variable host outputs (Hard selection and Model 3) Global regulation (Hard sel.)
Bistability
1 specialist leaving an empty niche
w2( p ) w1( p ) w2( p ) w1( p ) w2( p ) w1( p ) Local adaptation trade-off
Concave trade -off
Slightly convex trade-off
Very convex trade-off
Evolution of local adaptation under fixed and unconditional host choice Constant host outputs
(Soft Selection)
Branching
2 specialists Variable host outputs(Hard sel. + Model 3)
Evolutionary
attractor
1 intermediate local adaptation phenotypeBistability
1 specialist (Soft selection)D
2
( )
w p
1
( )
w p
h
0 0.5 1 0.5 1 0 0.5 1Joint evolution of host choice and local adaptation
Evolution through small mutations steps
Æ discrepancy with population genetics analysis of these life cycles - no temporal variability
- no cost of choosiness
- no constraints (e.g., time limitation)
Host choice evolution Æ no generalist
More realistic population dynamics
- are suprisingly well captured by these qualitative
considerations on local vs. global regulation and constant vs. variable output
s
c
1 0.5 1s
0.5 1 0.5 1c
0.51 1c
0.51 1c
0.51 1 Soft selection Model 3 Maintenance of local adaptation polymorphism Emergence of polymorphism through small mutations stepsRandom distribution of individuals among habitats Random distribution of individuals among habitats 0 0 0 0 0 0 Matching host choice Evolving host choice 0.2 γ = γ =0.5 γ = 0.9 γ =1.2 Any trade-off convexity w1(p) p Local fitness w2(p) s
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