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1
Pavan. R
Ph. D Scholar
Department of Genetics and Plant Breeding
University of Agricultural Sciences
Bengaluru-65
Warm Up ActivityWarm Up Activity
1.How do pathogen/plant populations respond to
deployment of host resistance?
2.Is development of 100% resistant variety is
better or a tolerant variety?
3.Can durability of R gene be predicated?
4.How does evolution of virulence affects
pathogen-is there a cost of virulence?
5.Why don't virulent strain dominate and wipe out
susceptible host population?
6.Do plants and pathogen coevolve in agriculture
system? 2
CoevolutionCoevolution
3
Evolution = CoevolutionEvolution = Coevolution≠≠
 Evolution is the change in the inherited
characteristics of biological populations over
successive generations
Species A has
some trait
unrelated to
species B
Species B evolves
in response to that
trait in species A
4
5
6
Coevolutionary
hot Spot
6
SymbiosisSymbiosis
 Many symbiotic relationships formed through
coevolution
 Relationship in which two species live closely
together
 Some types of symbiosis are; prey-predator,
mutuality, parasitic, commensalism and
mimicry
7
8
9
• One organism benefits from the interaction and
the other is not affected.
Example: Zebra (unaffected) and cattle egret
(benefits)
10
• A type of commensalism that exists in nature.
• One organism evolves to look like the other in
order to benefit itself.
• The mimic benefits from the situation while the
organism it mimics in unaffected.
Example: Orchid flowers
that mimic female
wasps as it invites
male wasps for mating
11
 One organism (parasite) lives on another
organism (host) harming it and possibly
causing death.
 The parasite lives on
or in the body of the
host.
Example:Example: Maize plant
(host) and Oospores
(parasite).
12
13
14
 Change in the gene (frequencies) in one
species determine the fitness of genotypes of the
other species, and leads to diversity in host
defences and parasite weaponry.
15
1. A wide variety of ecological and epidemiological
factors can maintain genetic diversity in
resistance and virulence.
2. Stochastic processes in population numberspopulation numbers
and gene frequenciesand gene frequencies can prolong the lifetime
of host and parasite alleles, sometimes greatly.
3. New methods offer the opportunity to test the
plethora of factors in whole population/s of
plants and parasites, not individual organisms.
Three main themes Brown and Tellier,
2011
16
Principles of plant immunity
17
18
18
Signal
Hypersensitive
response
Signal transduction
pathway
Avirulent
pathogen
Signal
transduction
pathway
Acquired
resistance
R-Avr recognition and
hypersensitive response
Systemic acquired
resistance
19
20
20
21
21
“For each resistance gene in
the host there is a
corresponding gene for
avirulence in the pathogen
conferring resistance and
vice versa”
Gene for gene (GFG) model
H.H. Flor, 1942
22
23
24
 It is a widely used model to understand the
population genetic processes driving coevolution for
three reasons.
1.It clearly differentiate between phenotypes in both the
host and the parasite, which lend themselves to
mathematical modeling and analysis.
2.By virtue of its clear phenotypes and generally simple
genetics, the GFG relationship is rapidly advancing in
area of research and discoveries in developing new
coevolutionary models.
3.This GFG system are widely and easily applicable to
other types of plant-parasite interaction. 25
26
c = cost of AVR on
RES plant
s = cost of disease
26
Lets implement this in R!!!
Resistant =RES or R
Susceptible = res or r
Avirulence = AVR or A
Virulence = avr or a 27
Brown and Tellier, Annual Review Phytopathology, 201128
In agriculture, alleles get fixed all the time in host and
parasite populations
Woolhouse et al. 2002 Nat Genet
29
Evolution of stripe rust virulence frequencies in wheat
Yr7
30
What do we observe in Nature?
Fixed alleles gradually in frequency (fitness)
That mean, “fixed alleles must remain fixed, but
not happening”
Reason proposed by Vanderplank (1863)
-There must be a cost of carrying the resistance allele
-There must be a cost of carrying the virulence allele
?
31
c = cost of AVR on
RES plant
s = cost of disease
b = cost of virulence
u = cost of resistance
32
Resistant =RES or R
Susceptible = res or r
Avirulence = AVR or A
Virulence = avr or a
33
Brown and Tellier, Annual Review Phytopathology, 2011
34
a) Increasing the cost of RES is to decrease the cost of avr
b) Increasing the cost of avr is to increase the cost of RES 35
Equilibrium points: Stability and instability
Frequency of resistance
Frequencyofvirulence
Unstable equilibrium
Stable equilibrium
36
Unstable equilibrium Stable equilibrium
37
38
Tellier and Brown, Proc. Roy. Soc. B, 2007
38
39
<
40
 Avirulence selects for increased resistance
 Resistance selects for increased virulence
= indirect frequency-dependent selection
→ graph of alleles frequencies (R,a) spirals
 Selection for RES weaker as RES more common
 Or selection for avr weaker as avr more common
= direct frequency-dependent selection
→ graph spirals to a stable equilibrium point
• Tellier and Brown, Proc. Roy. Soc. B, 2007
• Brown and Tellier, Ann Rev Phytopat 2011
41
42
 The cost of being diseased must be greater than the
cost of RES; otherwise, there would be no net benefit
to a plant in being resistant, and susceptibility would
become fixed in the plant population, followed by
fixation of virulence in the parasite.
 The cost to a parasite of being unable to reproduce on a
host to which it is avirulent is usually very high; in
many cases, mathematical models are simplified by
assuming that AVR parasites cannot reproduce on
RES hosts at all.
43
 Natural selection in which the fitness of an allele’s
depends on its own frequency or that of other alleles
 Two types:
1.Indirect frequency dependent selection (iFDS):
gene frequency in one species affects the fitness of
the other species.
Frequency Dependent Selection (FDS)
 iFDS acts together with the costs of resistance and
virulence to drive the cyclical dynamics of the mode
i.e., Unstable equilibrium
44
2. Direct frequency dependent selection (dFDS):
gene frequency of a species affects its own
contribution to fitness.
 Negative direct frequency dependent
selection(ndFDS): dFDS in which the contribution of
an allele to fitness declines as its frequency
increases
 ndFDS, stabilizes polymorphism in RES and AVR
genes spirals inwards to fixation at the interior
equilibrium point.
45
Processes maintaining polymorphism
in coevolutionary models
 In host-parasite coevolution, all processes that
generate ndFDS in theoretical models involve
uncoupling cycles of gene frequencies in time
or space.
All the models of GFG coevolution assumes that,
both host and parasite are haploid, each in a single
population.
46
 Due to the continuous efforts of theoreticians from
several disciplines, they have shown some factors
that promote stable or quasi-stable polymorphism
falls into one of two categories:
(a) those that lead to stable/balanced polymorphism
by generating ndFDS at RES or AVR loci or
both or, in one case, by overdominance.
(b) those that promote statistical polymorphism, by an
increase in the time to allele fixation reflected
in polymorphism.
47
48
 The high frequency of autoinfection generates ndFDS
by decreasing selection for avr parasites when the
frequency of avr is high.
Time factor
49
50
50
 If a parasite completes its life cycle before its
host plant?
 This results in delayed genetic feedback between
host and parasite populations.
 Such a delay causes changes in allele
frequencies from natural selection to occur
sequentially in host and pathogen populations,
uncoupling the dynamics of allele cycles in the two
species and thus promoting stable equilibrium.
51
Spatial factors
 Two aspects
1.Environmental conditions may not be
homogeneous, so selection pressures may vary
from place to place.
2.Spatial separation may restrict gene flow
between populations by reducing dispersal of
seeds and spores.
52
• dFDS is generated by the migration between
two or more populations that exhibit
asynchronous coevolutionary cycles, in
accordance with models of migration-selection
balance in which they have different
environmental characteristics.
(Levene, 1953)
53
Genetic factors
 Mutations in RES and AVR genes promote
dFDS, although this effect is weaker than
ecological and epidemiological processes.
High mutation rates prevent alleles from going
extinct and promote diversity at loci that might
not be under selection in the current
population.
Salathe et.al., 2005
54
Epidemiological factors
 Density dependent disease transmission create dFDS
Density-dependent disease transmission is assumed
to describe life cycles of parasites following the
off-season (e.g., overwintering or over summering),
when the inoculum load at the start of the next host
season determines the severity of the epidemic.
Gandon et.al.,2002
55
Over dominance factor
 It is a property of diploid organisms in which
heterozygotes have higher mean fitness than
either class of homozygote.
 It arises when a host has two resistance alleles
at a locus and is thus resistant to a greater
proportion of the parasite population than either
class of homozygote, with only one resistance allele
at that locus.
56
 In diploid hosts, however, alleles can be masked
from negative selection and thus prevented from
becoming extinct.
 i.e., Polymorphic equilibria can exist and be
stable, when there is no cost to the parasite of
virulence
57
58
Genetic factors
Multi-locus GFG systems can display complex
changes in allele frequencies.
When mutation rates are low and the population size
is finite, genotypes with many virulent alleles may
be fixed in the parasite population.
The combination of multi-locus interactions and
meta-population structure promotes a very high
level of random genetic drift and contributes to long-
term statistical polymorphism.
59
Ecological factors
Spatial models can generate complex patterns in the
distribution of genotypes.
In a metapopulation, a few populations can become
desynchronized from the remainder and act as
pacemakers to spread regularly over the whole
metapopulation.
This occurs with several RES and AVR gene pairs, in
a two-dimensional space with limited migration.
60
Geographic mosaic theory of coevolution
 It describes spatially structured heterogeneous
populations, is widely applicable to plants and their
parasites.
 It suggests that variation in selection across
coevolutionary hot and cold spots is of crucial
importance to evolving interactions.
 Forms and strength of natural selection on
interacting species vary among populations.
 Geographic structure and heterogeneous
habitats are thought to promote dFDS and thus,
stable polymorphism. 61
62
Bore holes Drilling with rostrum Geographic
variation in
rostrum length
(9-19 mm)
Matching
variation in
pericarp
thickness
(6-20 mm)
Toju, 2009. BMC Evolutionary Biology
Japanese camellia
63
Predictions of geographic mosaic theory
of co-evolution
• Co-evolving traits vary among populations
• Traits are well-matched in some local communities
and not in others
• There may routinely be local transient mixtures of
traits.
• Few co-evolving traits will be widespread across
geographic ranges or fixed within interacting spp.
64
Coevolution in agriculture
In agriculture, by contrast, it has been recognized
for almost a century that, with rare exceptions, GFG
resistances only control crop diseases for a few
years.
Brown, 1995
The rates of evolution of RES and AVR genes is
rapid.
Plant-parasite coevolutionary dynamics, nature
follow the trench warfare model, whereas in
agriculture, they take the form of an arms race.
65
• Many of the factors that generate ndFDS and
stabilize genetic diversity in nature are excluded
from farming systems.
• Volunteer plants growing from seed banks are not
encouraged and are often destroyed as weeds.
• Most major crops are annuals, rather than
perennials or biennials.
• The life cycles of crops and their pathogens are
highly synchronized because large fields contain
genetically uniform crop varieties.
66
 Farmers seek to achieve a uniform environment
capable of predictable crop production, rather than
a heterogeneous environment.
 Over the last century, many new RES genes have
been introduced, which is equivalent to a high rate
of mutation in the host.
 Large areas of uniform crops and parasite dispersal
over large distances, mean that host and parasite
life cycles are closely coupled, weakening
epidemiological feedbacks.
67
• Aim of agriculture is to produce large amounts of
food of acceptable quality at affordable prices.
• Problem is
1.Unpredictable outbreaks of disease.
2.The climate is becoming less predictable
3.The number of pesticides available to farmers is
declining
68
• Increasing the genetic diversity of crops, which
can slow the development of epidemics and
reduce the severity of disease.
• Breeding for quantitative resistance, which is
often more durable than GFG resistance because
pathogens often adapt more slowly.
• Using resistance genes for which the
corresponding parasite virulence has a high cost.
Approaches for crop management
(Aim to reduce the speed with which
pathogens adapt to crops)
69
Arms race model
The unstable case with repeated fixation of alleles
has been called an arms race, as the two species
acquire new weapons and defenses.
 Evolution of new R genes relatively young, nearly
identical in sequence to susceptible alleles 70
Trench warfare model
 The stable case with balanced polymorphism has
been described as trench warfare, as allele
frequencies advance and retreat but change little
over time.
 Resistance and susceptibility alleles would be old,
differ greatly in DNA sequence
71
Natural plant
systems
• Yes  No
 Reciprocal
selection (co-
evolution
Agriculture
systems
Characteristic
 Host mobility
 Spatial extent of
particular
resistance genes
 Host fitness (e.g.,
seed production)
 Durability of
resistance alleles
 Battle model
 Influenced by host
dispersal capabilities
 Confined to
relatively small
areas; patchy
 Outcome of co-
evolutionary
processes
 Resistance genes
expected to be
ancient and durable
 Trench warfare?
Epidemics alternate
with period of low
pathogen population
 Not influenced by host
dispersal capabilities
 Presented over large
contiguous areas
 Ensured with
pesticides
 R genes often
obsolete within a few
years
 Arms race?
 Diversity of vir-avir
polymorphisms
 Often highly diverse  Often very limited
72
73
“Running as fast as
possible just to stay in the
same place”
Van Valen

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Plant parasite coevolution

  • 1. 1 Pavan. R Ph. D Scholar Department of Genetics and Plant Breeding University of Agricultural Sciences Bengaluru-65
  • 2. Warm Up ActivityWarm Up Activity 1.How do pathogen/plant populations respond to deployment of host resistance? 2.Is development of 100% resistant variety is better or a tolerant variety? 3.Can durability of R gene be predicated? 4.How does evolution of virulence affects pathogen-is there a cost of virulence? 5.Why don't virulent strain dominate and wipe out susceptible host population? 6.Do plants and pathogen coevolve in agriculture system? 2
  • 4. Evolution = CoevolutionEvolution = Coevolution≠≠  Evolution is the change in the inherited characteristics of biological populations over successive generations Species A has some trait unrelated to species B Species B evolves in response to that trait in species A 4
  • 5. 5
  • 7. SymbiosisSymbiosis  Many symbiotic relationships formed through coevolution  Relationship in which two species live closely together  Some types of symbiosis are; prey-predator, mutuality, parasitic, commensalism and mimicry 7
  • 8. 8
  • 9. 9
  • 10. • One organism benefits from the interaction and the other is not affected. Example: Zebra (unaffected) and cattle egret (benefits) 10
  • 11. • A type of commensalism that exists in nature. • One organism evolves to look like the other in order to benefit itself. • The mimic benefits from the situation while the organism it mimics in unaffected. Example: Orchid flowers that mimic female wasps as it invites male wasps for mating 11
  • 12.  One organism (parasite) lives on another organism (host) harming it and possibly causing death.  The parasite lives on or in the body of the host. Example:Example: Maize plant (host) and Oospores (parasite). 12
  • 13. 13
  • 14. 14
  • 15.  Change in the gene (frequencies) in one species determine the fitness of genotypes of the other species, and leads to diversity in host defences and parasite weaponry. 15
  • 16. 1. A wide variety of ecological and epidemiological factors can maintain genetic diversity in resistance and virulence. 2. Stochastic processes in population numberspopulation numbers and gene frequenciesand gene frequencies can prolong the lifetime of host and parasite alleles, sometimes greatly. 3. New methods offer the opportunity to test the plethora of factors in whole population/s of plants and parasites, not individual organisms. Three main themes Brown and Tellier, 2011 16
  • 17. Principles of plant immunity 17
  • 18. 18 18
  • 20. 20 20
  • 21. 21 21
  • 22. “For each resistance gene in the host there is a corresponding gene for avirulence in the pathogen conferring resistance and vice versa” Gene for gene (GFG) model H.H. Flor, 1942 22
  • 23. 23
  • 24. 24
  • 25.  It is a widely used model to understand the population genetic processes driving coevolution for three reasons. 1.It clearly differentiate between phenotypes in both the host and the parasite, which lend themselves to mathematical modeling and analysis. 2.By virtue of its clear phenotypes and generally simple genetics, the GFG relationship is rapidly advancing in area of research and discoveries in developing new coevolutionary models. 3.This GFG system are widely and easily applicable to other types of plant-parasite interaction. 25
  • 26. 26 c = cost of AVR on RES plant s = cost of disease 26
  • 27. Lets implement this in R!!! Resistant =RES or R Susceptible = res or r Avirulence = AVR or A Virulence = avr or a 27
  • 28. Brown and Tellier, Annual Review Phytopathology, 201128
  • 29. In agriculture, alleles get fixed all the time in host and parasite populations Woolhouse et al. 2002 Nat Genet 29
  • 30. Evolution of stripe rust virulence frequencies in wheat Yr7 30
  • 31. What do we observe in Nature? Fixed alleles gradually in frequency (fitness) That mean, “fixed alleles must remain fixed, but not happening” Reason proposed by Vanderplank (1863) -There must be a cost of carrying the resistance allele -There must be a cost of carrying the virulence allele ? 31
  • 32. c = cost of AVR on RES plant s = cost of disease b = cost of virulence u = cost of resistance 32
  • 33. Resistant =RES or R Susceptible = res or r Avirulence = AVR or A Virulence = avr or a 33
  • 34. Brown and Tellier, Annual Review Phytopathology, 2011 34
  • 35. a) Increasing the cost of RES is to decrease the cost of avr b) Increasing the cost of avr is to increase the cost of RES 35
  • 36. Equilibrium points: Stability and instability Frequency of resistance Frequencyofvirulence Unstable equilibrium Stable equilibrium 36
  • 37. Unstable equilibrium Stable equilibrium 37
  • 38. 38 Tellier and Brown, Proc. Roy. Soc. B, 2007 38
  • 39. 39
  • 40. < 40
  • 41.  Avirulence selects for increased resistance  Resistance selects for increased virulence = indirect frequency-dependent selection → graph of alleles frequencies (R,a) spirals  Selection for RES weaker as RES more common  Or selection for avr weaker as avr more common = direct frequency-dependent selection → graph spirals to a stable equilibrium point • Tellier and Brown, Proc. Roy. Soc. B, 2007 • Brown and Tellier, Ann Rev Phytopat 2011 41
  • 42. 42
  • 43.  The cost of being diseased must be greater than the cost of RES; otherwise, there would be no net benefit to a plant in being resistant, and susceptibility would become fixed in the plant population, followed by fixation of virulence in the parasite.  The cost to a parasite of being unable to reproduce on a host to which it is avirulent is usually very high; in many cases, mathematical models are simplified by assuming that AVR parasites cannot reproduce on RES hosts at all. 43
  • 44.  Natural selection in which the fitness of an allele’s depends on its own frequency or that of other alleles  Two types: 1.Indirect frequency dependent selection (iFDS): gene frequency in one species affects the fitness of the other species. Frequency Dependent Selection (FDS)  iFDS acts together with the costs of resistance and virulence to drive the cyclical dynamics of the mode i.e., Unstable equilibrium 44
  • 45. 2. Direct frequency dependent selection (dFDS): gene frequency of a species affects its own contribution to fitness.  Negative direct frequency dependent selection(ndFDS): dFDS in which the contribution of an allele to fitness declines as its frequency increases  ndFDS, stabilizes polymorphism in RES and AVR genes spirals inwards to fixation at the interior equilibrium point. 45
  • 46. Processes maintaining polymorphism in coevolutionary models  In host-parasite coevolution, all processes that generate ndFDS in theoretical models involve uncoupling cycles of gene frequencies in time or space. All the models of GFG coevolution assumes that, both host and parasite are haploid, each in a single population. 46
  • 47.  Due to the continuous efforts of theoreticians from several disciplines, they have shown some factors that promote stable or quasi-stable polymorphism falls into one of two categories: (a) those that lead to stable/balanced polymorphism by generating ndFDS at RES or AVR loci or both or, in one case, by overdominance. (b) those that promote statistical polymorphism, by an increase in the time to allele fixation reflected in polymorphism. 47
  • 48. 48
  • 49.  The high frequency of autoinfection generates ndFDS by decreasing selection for avr parasites when the frequency of avr is high. Time factor 49
  • 50. 50 50
  • 51.  If a parasite completes its life cycle before its host plant?  This results in delayed genetic feedback between host and parasite populations.  Such a delay causes changes in allele frequencies from natural selection to occur sequentially in host and pathogen populations, uncoupling the dynamics of allele cycles in the two species and thus promoting stable equilibrium. 51
  • 52. Spatial factors  Two aspects 1.Environmental conditions may not be homogeneous, so selection pressures may vary from place to place. 2.Spatial separation may restrict gene flow between populations by reducing dispersal of seeds and spores. 52
  • 53. • dFDS is generated by the migration between two or more populations that exhibit asynchronous coevolutionary cycles, in accordance with models of migration-selection balance in which they have different environmental characteristics. (Levene, 1953) 53
  • 54. Genetic factors  Mutations in RES and AVR genes promote dFDS, although this effect is weaker than ecological and epidemiological processes. High mutation rates prevent alleles from going extinct and promote diversity at loci that might not be under selection in the current population. Salathe et.al., 2005 54
  • 55. Epidemiological factors  Density dependent disease transmission create dFDS Density-dependent disease transmission is assumed to describe life cycles of parasites following the off-season (e.g., overwintering or over summering), when the inoculum load at the start of the next host season determines the severity of the epidemic. Gandon et.al.,2002 55
  • 56. Over dominance factor  It is a property of diploid organisms in which heterozygotes have higher mean fitness than either class of homozygote.  It arises when a host has two resistance alleles at a locus and is thus resistant to a greater proportion of the parasite population than either class of homozygote, with only one resistance allele at that locus. 56
  • 57.  In diploid hosts, however, alleles can be masked from negative selection and thus prevented from becoming extinct.  i.e., Polymorphic equilibria can exist and be stable, when there is no cost to the parasite of virulence 57
  • 58. 58
  • 59. Genetic factors Multi-locus GFG systems can display complex changes in allele frequencies. When mutation rates are low and the population size is finite, genotypes with many virulent alleles may be fixed in the parasite population. The combination of multi-locus interactions and meta-population structure promotes a very high level of random genetic drift and contributes to long- term statistical polymorphism. 59
  • 60. Ecological factors Spatial models can generate complex patterns in the distribution of genotypes. In a metapopulation, a few populations can become desynchronized from the remainder and act as pacemakers to spread regularly over the whole metapopulation. This occurs with several RES and AVR gene pairs, in a two-dimensional space with limited migration. 60
  • 61. Geographic mosaic theory of coevolution  It describes spatially structured heterogeneous populations, is widely applicable to plants and their parasites.  It suggests that variation in selection across coevolutionary hot and cold spots is of crucial importance to evolving interactions.  Forms and strength of natural selection on interacting species vary among populations.  Geographic structure and heterogeneous habitats are thought to promote dFDS and thus, stable polymorphism. 61
  • 62. 62
  • 63. Bore holes Drilling with rostrum Geographic variation in rostrum length (9-19 mm) Matching variation in pericarp thickness (6-20 mm) Toju, 2009. BMC Evolutionary Biology Japanese camellia 63
  • 64. Predictions of geographic mosaic theory of co-evolution • Co-evolving traits vary among populations • Traits are well-matched in some local communities and not in others • There may routinely be local transient mixtures of traits. • Few co-evolving traits will be widespread across geographic ranges or fixed within interacting spp. 64
  • 65. Coevolution in agriculture In agriculture, by contrast, it has been recognized for almost a century that, with rare exceptions, GFG resistances only control crop diseases for a few years. Brown, 1995 The rates of evolution of RES and AVR genes is rapid. Plant-parasite coevolutionary dynamics, nature follow the trench warfare model, whereas in agriculture, they take the form of an arms race. 65
  • 66. • Many of the factors that generate ndFDS and stabilize genetic diversity in nature are excluded from farming systems. • Volunteer plants growing from seed banks are not encouraged and are often destroyed as weeds. • Most major crops are annuals, rather than perennials or biennials. • The life cycles of crops and their pathogens are highly synchronized because large fields contain genetically uniform crop varieties. 66
  • 67.  Farmers seek to achieve a uniform environment capable of predictable crop production, rather than a heterogeneous environment.  Over the last century, many new RES genes have been introduced, which is equivalent to a high rate of mutation in the host.  Large areas of uniform crops and parasite dispersal over large distances, mean that host and parasite life cycles are closely coupled, weakening epidemiological feedbacks. 67
  • 68. • Aim of agriculture is to produce large amounts of food of acceptable quality at affordable prices. • Problem is 1.Unpredictable outbreaks of disease. 2.The climate is becoming less predictable 3.The number of pesticides available to farmers is declining 68
  • 69. • Increasing the genetic diversity of crops, which can slow the development of epidemics and reduce the severity of disease. • Breeding for quantitative resistance, which is often more durable than GFG resistance because pathogens often adapt more slowly. • Using resistance genes for which the corresponding parasite virulence has a high cost. Approaches for crop management (Aim to reduce the speed with which pathogens adapt to crops) 69
  • 70. Arms race model The unstable case with repeated fixation of alleles has been called an arms race, as the two species acquire new weapons and defenses.  Evolution of new R genes relatively young, nearly identical in sequence to susceptible alleles 70
  • 71. Trench warfare model  The stable case with balanced polymorphism has been described as trench warfare, as allele frequencies advance and retreat but change little over time.  Resistance and susceptibility alleles would be old, differ greatly in DNA sequence 71
  • 72. Natural plant systems • Yes  No  Reciprocal selection (co- evolution Agriculture systems Characteristic  Host mobility  Spatial extent of particular resistance genes  Host fitness (e.g., seed production)  Durability of resistance alleles  Battle model  Influenced by host dispersal capabilities  Confined to relatively small areas; patchy  Outcome of co- evolutionary processes  Resistance genes expected to be ancient and durable  Trench warfare? Epidemics alternate with period of low pathogen population  Not influenced by host dispersal capabilities  Presented over large contiguous areas  Ensured with pesticides  R genes often obsolete within a few years  Arms race?  Diversity of vir-avir polymorphisms  Often highly diverse  Often very limited 72
  • 73. 73 “Running as fast as possible just to stay in the same place” Van Valen

Editor's Notes

  • #9: Discussion Questions: How has natural selection contributed to the coevolution of the lion and the zebra? The lion relies on the zebra for food. The lion must be able to catch the zebra in order to eat it. Faster lions were selected for because they could catch the food and survive. In return, the faster a zebra is the better able it is to escape the predator and reproduce. This causes the zebra population to become faster. This causes both species to become faster. How do the berry and the mouse benefit from coevolution? The mouse benefits by having food, and the berry benefits from having its seeds dispersed.
  • #10: Discussion Questions: How do the cleaner fish and the Nassau Grouper benefit from one another? The cleaner fish benefits from getting food, the Nassau Grouper benefits from being cleaned and rid of pests and parasites.     What structures of the flower and bird have coevolved? The flower has long tubes filled with nectar. The bird has a long beak to reach the nectar.
  • #11: Discussion Question: How have the zebra and the cattle egret coevolved? The cattle egret benefits from following the zebra because it is able to catch the insects that the zebra disrupts while it travels in the grass.
  • #12: Discussion Questions: How does the flower benefit from looking like the female wasp?  The flower benefits because the male wasp lands on the flower expecting to mate and is covered in pollen. It then flies to another flower that looks like a female wasp and pollinates the plant.       Predict what would happen to the flower if the appearance of the female wasp began to change? If the female wasp began to change in appearance so would the flower. Flowers that looked more like the changing female wasp would be pollinated, while those that did not look like the female wouldn’t. This would cause the flower population to look more like the female wasp.
  • #13: Discussion Question: How would a change in a host cause a change in a parasite? As the host changes the parasite must change in response to survive.
  • #20: Figure 39.29 Defense responses against an avirulent pathogen