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Evolution of plant resistance to a fungal pathogen
1. Ph.D Dissertation defense, Jason Price, Indiana University, Bloomington, Sept. 17 2002
The potential for evolution of resistance to
Coleosporium asterum leaf rust in the clonal
perennial herb, Euthamia graminifolia
4. Goal of my research
⢠Assess the potential for evolution of quantitative
resistance in a clonal plant species
To do so, Iâll address the 3 necessary and sufficient conditions for
evolution of resistance by natural selection:
1) Variation in resistance
1) Inheritance of resistance
1) Association of resistance variation with fitness
5. Evolution of disease resistance
through vegetative reproduction
(1) Does resistance vary among host genotypes?
(2) Is resistance heritable by vegetative offspring?
(3) Does disease affect vegetative reproduction?
10. ⢠Resistance ďşď inverse of infection intensity
⢠infection intensity integrates many variables
â plant, pathogen, epidemiological, environment
⢠allows all heritable traits that lead to low disease
levels to be considered (Alexander 1992)
Relationship between resistance and
infection intensity
18. Evolution of disease resistance
through vegetative reproduction
(1) Does resistance vary among host genotypes?
(2) Is resistance heritable by vegetative offspring?
(3) Does disease affect vegetative reproduction?
19. (2) Is resistance heritable by vegetative offspring?
⢠Sources of variation
Vp = Vg + Ve
Vg = Va + Vd + Vi
⢠Heritability
h2
= Va / Vp for sexual offspring
H2
= Vg / Vp for vegetative offspring
⢠Clonal repeatability = estimate of H2 (Vg / Vp)
20. Resistance was heritable by vegetative offspring
Survey
Clonal
Repeatabilit y
df Model df Error F Ratio p Value
Hillt op field 1997 0.265 11 225 8.11 <0.001
Hillt op field 1998 -- 11 100 1.30 0.234
Bayles field 1998 0.389 11 226 13.65 <0.001
Bayles field 1999 -- 11 169 0.74 0.696
Hillt op pots 2000 0.276 11 138 5.78 <0.001
Hillt op pots 2001 0.120 11 113 2.42 0.010
21. Genotypic selection for resistance
Increased representation of resistant
genotypes in ramet population =
Genotypic selection for resistance
High
R
genotype
Low
R
genotype
Sig.
Heritablility
of
Genotypic
variation
in resistance
(R)
Ramets
22. Evolution of disease resistance
through vegetative reproduction
(1) Does resistance vary among host genotypes?
(2) Is resistance heritable by vegetative offspring?
(3) Does disease affect vegetative reproduction?
23. (3) Does disease affect vegetative reproduction?
DESIGN
Treatment
Dataset Fungicide Water
Outdoor pots
Low
infection
n = 144
High
infection
n = 144
Experimental
field
Low
infection
n = 84
High
infection
n = 84
Greenhouse
âcontrolâ
Uninfected
n = 24
Uninfected
n = 24
25. Fungicide reduced infection intensity
Outdoor pots Experimental field
0
10
20
30
40
50
60
70
80
90
100
hbInf080901
2001
F W
0
10
20
30
40
50
60
70
80
90
100
hbinf092100
2000
F W
Leafareainfected(%)
p < .0001 p < .0001
-10
0
10
20
30
40
50
60
70
80
90
100
meanhbinf092000
2000
-10
0
10
20
30
40
50
60
70
80
90
100
110199hbinf
1999
F W F W
[puiyui p < .0001p =.0019
26. High infection plants had lower rhizome mass
in outdoor pots
Photo of potted plants
0
1
2
3
4
5
6
7
8
2000Stemmass(g)
AGDW00(g)
p = .3080
F W
(a)
0
1
2
3
4
5
6
7
8
9
10
2001Stemnumber
Stemnum01
p = .9530
F W
0
5
10
15
20
25
30
35
40
2001Rhizomemass(g)
â˘(est)bgdrywt
p <.0001
F W
0
10
20
30
40
50
60
70
2001Totalbasalarea(cm2)
â˘BA01
p = .0309
F W
ďĄď ď˝ď
27. High infection reduced rhizome mass
of high infection replicates of all genotypes
(b)
0
5
10
15
20
25
30
35
40
2001Rhizomemass(g)
1 2 3 4 5 6 7 8 9 10 11 12
Genotype
Water
Fungicide
*
**
*
*
*
*
*
p < .0001
2001Rhizomemass(g)
Outdoor pots ďĄď ď˝ď ďŽď°ď°ď´
28. No detectable effect of disease on above ground
measures of vegetative reproduction in the
experimental field
p=.0608 p=.8288p=.4350p=.1088 p=.1130
0
200
400
600
800
1000
1200
1400
1600
1800
2001Totalbasalarea(mm2)
â˘BA01(mm2)F W
0
20
40
60
80
100
120
140
2001Stemnumber
numsht01>1.4mmF W
0
100
200
300
400
500
600
700
800
2000Totalbasalarea(mm2)
â˘BA00F W
0
5
10
15
20
25
30
2000Stemnumber
finstm#00F W
10
15
20
25
30
35
40
45
1999Stemmass(g)
AGDW99(g)F W
Treatment
ďĄď ď˝ď
34. Recap
(1) Do host genotypes vary in resistance? Yes.
(2) Is resistance heritable by vegetative offspring? Yes.
(3) Does disease affect vegetative reproduction? Yes,
through decreased rhizome biomass
(4) Does disease affect sexual reproduction, and how
important is seedling recruitment in established
populations ?
35. No fungicide effect on seed production
in the absence of disease (greenhouse)
0
20
40
60
80
100
120
140
Viableseednumber(Thousands)
Fungicide Water
Treatment
p = .2211
36. Disease also reduced seed production
0
500
1000
1500
2000
2500
Viableseednumber
Est. Total Seed Num
Water
Fungicide
Treatment
p = .0002
Potted plants
0
200
400
600
800
1000
1200
1400
Viableseednumber
EstSeedNum
Water
Fungicide
Treatment
p = .0047
(a)
Experimental field
38. Seedling recruitment was extremely
low in established populations
Environment Census area
(m2
)
Seed number Recruitment
(%)
Notes
Growth chamber/
Greenhouse
n/a 3 836 81
90% germination,
90% survival under
ideal conditions
Colonization plot 220 Ă 197 000 .06 Field recruitment with
reduced competition
and shading
Established plot 1760 Ă 787 000 .002 Very dense vegetation,
no effect of tilling
Natural
populations
480 Ă 1 181 000 .006 Vegetation was much
less dense than
established plot
39. High
R
Low
R
Genotypic selection within populations affects
genetic makeup of new populations
H2
Genotypic
variation
in
resistance
12,000
seeds
1500
seeds
Higher
likelihood of
colonization
of disturbed
area
Lower
likelihood of
colonization
of disturbed
area
Greater
representation
of genes of
resistant
genotypes in
colonizing
seed pool
For discussion see
Pan & Price 2001
Evol. Ecol. 15:583
Number of ramets
after a few years of
population growth
40. Synthesis
⢠All three conditions necessary for evolution of
resistance through differential vegetative
reproduction can occur in this pathosystem
⢠Seed recruitment is very low in established
populations, suggesting that vegetative reproduction
will be of primary importance for changes in gene
frequency within populations
⢠Changes in gene frequency within populations are
likely to affect the genetic makeup of new
populations
41. Maintenance of genotypic variation?
Relativerhizomemass
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Relativeresistancelevel
1 9 12 4 2 10 5 6 8 7 3 11
Genotype
Rhizome mass (pre sence of disease)
Rhizome mass (absence of dise ase )
Resistance level
42. Maintenance of genotypic variation?
Relativerhizomemass
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Relativeresistancelevel
1 9 12 4 2 10 5 6 8 7 3 11
Genotype
Rhizome mass (pre sence of disease)
Rhizome mass (absence of dise ase )
Resistance level
43. Maintenance of genotypic variation?
Relativerhizomemass
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Relativeresistancelevel
1 9 12 4 2 10 5 6 8 7 3 11
Genotype
Rhizome mass (pre sence of disease)
Rhizome mass (absence of dise ase )
Resistance level
44. Maintenance of genotypic variation?
Relativerhizomemass
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Relativeresistancelevel
1 9 12 4 2 10 5 6 8 7 3 11
Genotype
Rhizome mass (pre sence of disease)
Rhizome mass (absence of dise ase )
Resistance level
45.
46. Acknowledgements
Committee
Jim Bever
Lynda Delph
Michael Tansey
Maxine Watson
Undergraduate L490âs
J. Paul
T. Pawlowski
L. Lasky
R. Lemaster
Kara Kitch
Claylab folks
Jean Pan
Paula Kover
Alissa Packer
Janice Alers-Garcia
Tammy Johnston
Jen Koslow
Jenn Rudgers
Funding sources:
Indiana Academy of Science
B.F. Floyd Memorial Fellowship
Undergraduate assistants to numerous to mention,
But esp. Scott Hovis and Amber Fullenkamp
Advisor: Keith Clay
Kneehigh Cooperative Daycare
Jonathan Mollenkopf and Nathan Murphy
Hinweis der Redaktion
From flwrs and seeds to leaves and roots, Paths and Herbs attack all parts of their plant hosts as seen in this Fig from Harperâs 77 book on pop biol of plants
Roots are attacked by rotters and gallers
Smuts infect anthers, Ergots attack ovaries and fungal endophytes can completely sterilize their hosts
Fungi, bacteria and viruses also attack leaf meristems, produce leaf galls and infect leaf mesophyll
Nearest and dearest to my heart are the rust fungi which are usually found on leaves and stems
Given their large economic impact on crops and ubiquity in natural plant pops, it is not surprising that resistance to natural enemies is a major focus of research
Path freq found to decrease host fitness and abundance: humans have found ways to use these fitness effects to their advantage
The Australian national trust is distributing a rust to curb the spread of a noxius invasive called Bridal creeper prompting the press release headline toungue twister â â
This species produces mats of underground tubers that strangle less competative native spp & prevent potential competitors from germinating
The rust causes plants to lose their leaves and use reserves from tubers, eventually killing existing plants, also causeing up to 75% reduction is seed production, greatly limiting its spread
This system provides a dramatic example of a rust that could exert strong selective pressure for resistance in its clonal host
The goal of my research was toâŚ
Assessment of evolution in clonal plant species requires a very different approach than assessement of evolution in non-clonal species
In non-clonal species seed production is of primary importance b/c it is the only way that new individuals can be produced
For Euth and the majority of other clonal plants, vegetative ramet production is the primary means of producing new individuals within populations, so I focus on addressing the components of natural selection through vegetative reproduction
Because clonal species are dominant members of many plant communities, it seems important to assess the potential for evolution of resistance through veg repro
Although I adressed these comp in a single system, my results should be broadly applicable to the evol of R in clonal plant species that rely largely on veg reproduction for population establishment and maintenance
Phrased in terms of evolution through vegetative reproduction, questions addressing the three components of NS provide an outline of the majority of my talk:
After addressing each of them in turn, Iâll assess importance of seed production in this system
My system involves a rust whose infection often reaches epidemic levels late in the season in natural populations: in any given year it is common to see Euth plants that are lit up like florescent orange Xmas trees
On the left are stems of E gram from a natural populations showing a range of infection intensities
Pictures on the right show details uredial pustules of C ast, which are the repeating stage of the rust
E.g. clonal perennial herb, Close relative of common g-rod
Disease is introduced to pops each year by spores of C ast from 2 need pines
Fungal hyphae grow within Euth leaves and then produce uredial pustules, which is the repeating stage of the disease
Individual pustules produce 1000s of spores, which infect oth leaves same and Lvs other plants
Underground connections break down at about this time each year so each stem is independent before the disease peaks
Dis peak during seed prod & rhiz growth and then begins to produce spores that reinfect the alternate host
Above grnd stems of Euth die back each fall & plants Overwinter as uninfected rhizomes that send up mult new shoots next spring
Most studies of resistance address qualitative âall or nothingâ resistance that Stops pathogen growth and is effective against specific pathogen races
Euth exhibts QUANT res that slows pathogen growth and is effective against a range of pathogen races
Mechs of QR are not well understood--may be due to variation in leaf cuticle thickness, leaf hair density, stomatal density or function, and/or availability of resources to pathogen
Since the mechs of QR are usually unkown, it is described by its effect on pathogen gro & repro as depicted in this figure from burdons 87 book
time is represented on the Horizontal axis
And the Vertical axis shows a # of pathogen spores
Quantitative res can slow pathogen growth:
By Reducing the number of spores that penetrate the leaf as shown y arrows that end here
By Preventing some colonies from reproducing after they have penetrated the leaf
By increasing the time to reproduction as indicated by curved line so this colonyâŚ
And by Reducing pustule fecundity by decreasing their size or longevity
Quantitative resistance is defined asâŚ
(READ), plant resist characters
As well as non-plant based vars, such
Var. virul. in path pop.,
Stochastic effects due to epidem. Of disease spread
And environmental factors that might affect inf lvl
All Traits
To address the first question (READ), I collected
3 geno from each of 4 pops around MC
After 2 generations of greenhouse propagation to reduce maternal environmental effects I had 40 clones of each genotype--
20 clones of each of 12 geno were planted in a randomized block design in each of two exp fld sites on opposite sides of town: Hilltop field & Bayles field
After further propagation (not depict here) 12 more replicates of each geno planted in pots & grown outdoors at hilltop field
Picture of one of the exp fld plots the 2nd year after planting
Natural vegetation was left as undisturbed as poss to facilitate nat dis sprd
Each pole marks sep replicate made up of 1-many stems derived from single stem in yr 1
Surveys of infection intensity due to natural disease spread were performed over a 3 yr period in the experimental field and later over two years in potted plants
Infection intensity was estimated on a 0-10 scale for each ramet and these values were used to calculate average infection intensity for each group of ramets derived from a single replicate (which Iâll refer to as a frag)
If there is GENOTYPIC variation in resistance in this system, surveys should show that randomly located replicate frags of a geno have inf intensities that were more similar to each other than they were to other neighboring fragments of different genos
These data show geno within origin pops vary in Res Lev
X-axis geno, arranged by pop origin (sets of 3 bars with same shading came from same origin pop)
Y-axis, mean % LAI for each genotype, so short bars represent greater resistance, error bars indicate 1 SE
For origin pops with starred bars, at least one pair of genotypes differed in inf intens.
In this site/year comb, frag had >50% of LA cov, & genotypes from within 3 of 4 original pops showed sig var. in infection level,
No sig diffs in inf intensity among populations, since they were tested over geno(pop), this suggests that Var within POPS was greater than var between them
These are graphs on the same axes for each of the infection intensity surveys
Each panel a diff site/year combo, (point out each)
Nested ANOVAs again showed no sig effect of origin pop
There were hwvr, sig geno (pop) effects for 5 of 6 site/yr comb
Perhaps the most striking thing about these data is the major diffs in overall INF level between BF in 98 & 99 and the reason I disnt include data from 97 is because there werenât any---this site remained completely uninfected in this year, adding to the evidence that inf level can fluctuate greatly across years
It is also clear that potted plants tended to be more infected than those in the field, although the epidemic at Bayles in 98 shouws that their infection intensities were not unnaturally high
Furthermore, data from both years at HF show that detectable differences in INF INT do occur at lower overall infection levels
So...within-pop genotypic variation in resistance does occur under a variety of dis and envtl conditions, and can fluctuate greatly from year to year
In order to combine data across sites and years, fragment inf int was plotted with respect to the mean infection intensity of neighbor fragments across all experimental field datasets
Logistic curves were fitted to these data, representing the infection intensities of focal fragments as a function of local population growth of the pathogen
These data are for 3 fragments from a single origin population, and show that genotypes have fairly consistent infection intensity across environments and years, here genotype 9 (shown in green) is the most resistant, 8 (shown in blue) is intermediate and 7 (in red) is least resistant
This is a graph including all 12 genotypes across exp fld sites and years
Genotypes 1 and 9 stand out as being more resistant across environments, weâll see these genotypes highlighted again laterâŚ
Thus genotypes regularly vary in resistance in high and low infection conditions as was seen in the individual datasets, and a couple of genotypes are more resistant across a variety of disease and environmental condtions
Now that we have seen that genotypes vary in resistance to disease, Iâll address the 2nd question:
The data I just showed you demonstrates that Vg is responsible for a sig port of the pheno var in inf intens (Vp)
For evol of res to occur through genetic changes in sexual off, it must be further demonstrated that a sig portion of Vg is additive (Va), I.e. due to eff of indiv alleles, rather than due to interactions between alleles (such as dominanceâŚ) b/c mixis & recomb that occurs during sex repro will make interaction effects unpred. Thus heritability of sexual off..
Vegetative offspring, however, inherit intact genotypes from their parent, including both individual and interaction effects of alleles affecting resistance. For clonally-derived offspring then, its is the size of Vg that matters.
Clonal repeatability values quantify Vg, providing an estimate of the degree to which clonal offspring will resemble their parent under a partic set of cond, often referred to as broad-sense heritability (H2)
CR is a measure of the proportion of pheno var that is explained by genotype
(Read) for 4 of the 6 plot/yr combo, showing that for these 4 datasets, genotype explained 10 to 40% of var in res
R was More likely to be sig in high infection years, but also quite high in 1 low infection year at HF
This significant heritability of resitance will lead to evolution of resistance if resistant genotypes have greater rates of vegetative reproduction.
I call this form of selection genotypic selection because it results from differential reproduction of genotypes
This diagram provides an eg of GS based on a highly resistant genotype that reproductes twice as fast as a less resistant genotype.
Both genotypes start off as a single ramet. Rhizomes of ramets of the high R geno produce 4 new ramets before ramets die each year, resulting in 16 ramets in the 3rd year. Rhiz of ramets of the low R geno produce 2 new ramets before ramets die each year, resulting in 4 ramets in the 3rd year.
Thus, after two ramet generations, the resistant genotype makes up 80% of the population. This (READ)âŚis an eg of
When evol is defined as a change in allele frequency in the ramet population, genotypic selection can be said to have caused evolution of resistance in this population.
So far, Iâve shown you that there is Geno var in resâŚ
And that it can be strong enough to significantly effect RES LEV of offspring ramets
Furthermore Ive shown that this will lead to evolution of resistance through GS within populations if disease affects vegetative reproduction
To test for effects of disease on vegetative reproduction, I sprayed half of the experimental plants with fungicide and the other half with water. Genotypes were evenly represented between treatment groups.
This design was used in outdoor pots and the experimental field to test for effects in the presence of disease and in the greenhouse to determine whether the fungicide effected vegetative reproduction in the absence of disease
Plants were grown for a min of 2yr to allow detection of delayed of disease, which maybe esp important in this system since the disease peaks late in the season
These data show that the Fung was effective in reducing infection intensity
Treatment (Fungicide and water) is on the x axis and infect int on y
Fitness diffs would have been easier to detect if FS plants were inf free, but the actual effect of the treatment is more realistic, because QR also reduces rather than prevents infection
In potted plants, inf was reduced by about 1/2, whereas field differences were lower in mag
Thus Although Inf Ints differed sig in every case, diffs greater in potted plants than in field
If disease does reduce vegetative reproduction, then we would expect to see lower stem number, stem mass or rhizome mass in WS (that is) Higher infection plants
READ
There are a number of other graphs like this one so Iâll explain this one in detail
On x axis are 2 treatment groups (fung and water-sprayed)
Y-axes various measures of growth or veg repro arranged in chronological order, thus the first measurement wasâŚ
Box plots depict the distribution of values of each variable:
median, notch 95% conf interv of med, box ends 75%le, bar ends 90th %le
A MANOVA, showed a significant effect of treatment on the mutivariate distribution of all 4 variables
When looking at individial response variables, I frequently lowered alpha (THE value p had to be below to detect sig effects ) to correct for multiple tests on related variables⌠alpha value is displayed whenever it is below .05
First 3 panels show that there were no effects of high infection on above-ground size during the 2 yrs of treatment, but high infection did result in lower rhizome mass by the end of the experiment as seen in the last panel, rhizomes of high infection plants weighed about half as much as those of low infection plants
Next slide shows effects of high inf on rhiz mass of individual genotypesâŚ
(Read)
That is rhiz mass of FS plants (rep by striped bars) was always higher than rhiz mass of WS plants (rep by solid bars), & significantly so in 8 of 12 genotypes
Assuming that rhizome mass is a good predictor of fragment size in the next year, then these results show that high disease levels cause decreased vegetative reproduction in potted plants
In exp fld there was no detectable effect of disease on AG veg repro aft 2 yrs of treat
three years shown here b/c field plants were harvested midway through the 3rd year to allow for detection of delayed effects of disease
Weak trends toward an effect dissappeared as time went on
Absence of effect:
lower Overall inf level of Exp fld plnts compared to potted plants, and smaller diffs in inf int among treat groups
Also Extensive variation in frag size w/in treat groups, prob due to microenvironmental soil var
Also note Rhizmass not included, b/câŚ
Fragments were large
(This is a Sing frag and as you can see it is made up of dozens of stems)
So extensive labor was required to dig up rhiz of even a single fragment
So I selected 16 focal frags from extremes of inf intensity in 00, Treated them for another year and dug up at end of 01
For these focal fragments, trt grps did not differ in Inf int in 99 or 01, but diffs in 2000 were almost 2x the size of the greatest diff among treat groups in the potted plants
So, any diffs in rhiz mass among focal frags would be largely due to inf diffs in 2000
fig on left shows results from these 16 frags
x axis is TBA (a measure of AG frag size)
and y axis final rhiz biomass
The solid line is a regression for water-sprayed (higher infection) fragments and the dotted line represents fungicide-sprayed, lower infection frags
Lower slope of solid line shows that higher infection frags had lower rhiz biomass rel to AG size than low infection frags
Fig on right shows that earlier senescence of more highly infected fragments is a potential mech for this result:
Infection intensity of WS plants is on the x axis, and sen date is on the Y (from earlier to later); the negative slope of the regression line shows that plants with higher inf int senesced earlier, prob reducing the total resources avail for rhiz growth
Thus field data produced similar results to potted plant data but to a lesser degree:
High infection level reduced vegetative reproduction through decreased final rhizome biomass
no signficant effect of Fung Treat on veg repro in disease-free g-hse plants,
If there was any effect of fungicide, it was in the opposite direction from that expected from reduced infection intensity, as indicated by trends toward DECREASED growth in stem number and mass in FS plants
So we can be conf that diffs in veg repro in the presence of disease are due to infect intensity diffs rather than direct effects of fung
Te recap, host genos doâŚ
The affirmative answers to these questions suggest that resistance level can evolve in this system through differential reproduction of genotypes that vary in resistance.
The large increase in stem number of frags in pots and field show that veg repro is an important determinant of rep of genotypes in established pops, and in the introduction I used the observation that seedling recrutiment is often limited in established clonal populations to justify a focus on selection through veg repro
but the genetic structure of established populations could also be effected by seed recruitment, and seed recrutment is critical for estab of new pops since rhiz cannot disperse over large dist
Next, Iâll show you the effects of disease on seed prod and then present data from a final experiment show that Seed Recr is rare in estab pops
X axis
Y axis estimated
The data from the same GH plants used to assess effects of fungicide treatment on veg repro and show that there was no effect of fungicide treat on seed production in the absence of disease
These data from the outdoor potted and experimental field tests of disease effects showed major reductions in seed prod
Both in potted plants and exp field high infection produced about half as many seeds as low infection plants
To address recruitment in established populations, I added known quant of seeds to quadrats in an open plot, an estab exper field and nat pops
Open plot shown here on L, and tilled and untilled quadrats in exptâl field shown on right
Approx 40K seeds were added to each quad in winter = 12x natural seed density (based on seed rain of other g-rod spp)
(Read) Indeed
Recruitment under controlled cond showed that 8 of 10 seeds were viable, germinated and survived to adulthood
Under ânaturalâ conditions, however, recruitment was much lower
Recruitment in the open âcolonizationâ plot was about 6 seedlings per 10,000 seeds and t in established plots and nat pops recruitment was an order of magnitude lower still
Thus seed production should have a minimal impact on established populations
As differences in vegetative reproduction lead to increased representation of more resistant genotypes within populations, the probability that they will continue to do so increases, as does the proportion of their genes in the colonizing seed pool
This diagram shows an abbreviated version of the genotypic selection diagram I showed earlier: after a few years of population growth, the majority of the ramets will be higher resistance genotypes
Given that lower R ramets produce half as many seeds as higher R ramets, both genotypic selection and effects of disease on seed production will lead to a higher likelihood that seeds that colonize disturbed areas were produced by R genos, leading to greater representation of the genes of resistant genotypes in the colonizing seed pool
If resistance is heritable by seed offspring then evon within pops will affect resistance level of new pops, if not resistant genotypes will still have greater lifetime reproductive success because more of their genes are represented in new populations
In summary, Iâve shown you that:
FurthermoreâŚ
And finally,
If genotypic selection for resistance commonly occurs in natural populations of Euthamia, we would expect the majority of individuals to have high resistance
The first set of data I showed you, however, showed that resistance variation is common in natural populations and suggested that there may be extreme variation in disease pressure from year to year
One way that genotypic variation in resistance can be maintained in the face of periodic selection for greater resistance is when there is a cost to disease resistance
(NEXT)
This figure synthesizes 3 kinds of data from potted plants, so Iâll walk you through it
Genotypes are arranged on x-axis from most to least resistant, based on the bars which show resistance level on the L axis relative to the least resistant genotype, so geno 1 had 75% lower infection than the least resistant geno, geno 9 had 50% lower than genotype 11 and so on
The lines show rhizome mass of potted plants in the presense and absence of disease, and again these are relative meas, so the solid line shows that geno 1 had highest rhiz mass in presense of disease, geno 9 had next highest, etc., and the dotted line shows that geno 11 had the highest biomass in the absence of disease, geno 3 the next highest, and so on
The left side of the figure shows that more resistant genos benefit from higher resistance level through higher relative rhiz mass in the presence of disease
An its particularly intruiging that genos 1 & 9
The right side shows that, less resistant genoypes benefit from lower resistance level through higher rhiz mass in the absence of disease, suggesting a cost of resistance through decreased rhizome growth when the disease is absent
If rhizome mass is a good indicator of future vegetative reproduction, the frequency of resistant genotypes should increase after high infection years, whereas susceptible genotypes may increase in freqency after low infection level years, potentially maintaining variation in resistance in this system
Iâd be happy to take questions after I acknowledge the large number of people without whom Iâd have been unable to complete my research
Since heâs pictured here,
Iâll start will Dave Campbell
who listened to listened to me ramble until I figured out the answer to my question on what seemed like a weekly basis for 5 summers,
Watered my plants more than 2000x! Plowed this or mowed that on short notice, and frequntly fixed things that I broke or smoothed things over when I did unorthodox things that ruffled the feathers of the greenhouse establishment
No E. gram plants recruited in quads in open plot or established exp fld plot
Here photos one quadrat in each treatment in estab plot or pop
Show variation in density of other species
Census areas were increased to the entire plot in the experimental field and 2.5m radius circles around each quad in nat pops to include seeds that may have been dispersed outsid e of the quads