Partial Resistance in the Linum-Melampsora Host-Pathogen System: Does Partial Resistance Make the Red Queen Run Slower?

Antonovics, Janis; Thrall, Peter H.; Burdon, Jeremy J.; Laine, Anna‐Liisa

doi:10.1111/j.1558-5646.2010.01146.x

Cited by 30 publications

(32 citation statements)

References 35 publications

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“…In addition, selection to maintain infectivity on a particular host is likely weaker when the pathogen population can successfully reproduce on another host (see ref. 13 for an analogous argument with respect to partial resistance). Finally, costs associated with the ability to infect multiple host species (e.g., ref.…”

mentioning

confidence: 96%

Evolution of host range inColeosporium ipomoeae, a plant pathogen with multiple hosts

Chappell

Rausher

2016

Proc. Natl. Acad. Sci. U.S.A.

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confidence: 96%

Evolution of host range inColeosporium ipomoeae, a plant pathogen with multiple hosts

Chappell

Rausher

2016

Proc. Natl. Acad. Sci. U.S.A.

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“…; Antonovics et al . ) by comparing disease levels among different host cohorts. If we assume that the Kiandra population has evolved towards higher partial resistance, then cohorts that have previously experienced a severe epidemic should suffer lower disease severity (due to death of the most susceptible individuals).…”

Section: Discussionmentioning

confidence: 99%

Local demographic and epidemiological patterns in theLinum marginale–Melampsora liniassociation: a multi‐year study

et al. 2017

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Summary Many theoretical and empirical studies operate from an assumption that pathogens have a significant influence on the fecundity and life span of their host species. However, there are surprisingly little data investigating the long‐term fitness impacts and genetic consequences that arise from pathogen infection in natural populations. Here, we address this gap through the analysis of a dataset investigating the local population dynamics of a native host plant (Linum marginale) and an associated rust pathogen (Melampsora lini) across 12 years. To investigate patterns of disease prevalence and severity and track effects on host fecundity and demography, we conducted censuses on an annual basis at a single site. Annual M. lini infection prevalence ranged from 0% to 99%. Severe epidemics occurred in 3‐ to 4‐year cycles causing high overwintering mortality and subsequent changes in the relative abundance of different host phenotypes. Host population size oscillated in response to epidemics and declined towards the end of the observation period. Changes in host numbers were found to affect disease severity but not infection prevalence. Melampsora lini infection increased L. marginale fecundity; the infected plants produced threefold more seed capsules on average than uninfected plants (13·3 vs. 4·3 seed capsules per plant). To investigate how variation in environmental conditions affects epidemiology and host demography, we identified climatic factors affecting host growth, overwintering and disease severity. Winter (June) rainfall increased host overwintering success and summer (December) rainfall favoured host growth. The progress of M. lini disease epidemics benefited from optimal temperatures in February and suffered from rainfall in January. We further examined links between the genetic structure of the pathogen population and disease dynamics. There was a positive correlation between mean pathogen infectivity (as measured across a host differential set) and the severity of disease epidemics. Synthesis. Our results provide new insights into local drivers and consequences of pathogen epidemiology in natural populations. Melampsora lini infection can have profound consequences on the phenotype, demography and population structure of Linum marginale by increasing host fecundity, overwinter mortality and disease resistance.

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“…For example, Antonovics et al . () showed that the interaction outcome (resistance, partial resistance, susceptible) of hosts inoculated with local (sympatric) pathogens differs from those inoculated with allopatric pathogens, with a larger fraction of hosts showing partial resistance to local pathogens.…”

Section: How Is Variation In Pathogenicity Measured?mentioning

confidence: 99%

Variation in infectivity and aggressiveness in space and time in wild host–pathogen systems: causes and consequences

Tack

Thrall

Barrett

et al. 2012

J of Evolutionary Biology

123

128

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Variation in host resistance and in the ability of pathogens to infect and grow (i.e. pathogenicity) is important as it provides the raw material for antagonistic (co)evolution, and therefore underlies risks of disease spread, disease evolution, and host shifts. Moreover, the distribution of this variation in space and time may inform us about the mode of coevolutionary selection (arms race vs. fluctuating selection dynamics) and the relative roles of GxG interactions, gene flow, selection and genetic drift in shaping coevolutionary processes. While variation in host resistance has recently been reviewed, little is known about overall patterns in the frequency and scale of variation in pathogenicity, particularly in natural systems. Using 48 studies from 30 distinct host-pathogen systems, this review demonstrates that variation in pathogenicity is ubiquitous across multiple spatial and temporal scales. Quantitative analysis of a subset of extensively studied plant-pathogen systemsshows that the magnitude of within-population variation in pathogenicity is large relative to among-population variation, and that the distribution of pathogenicity partly mirrors the distribution of host resistance. At least part of the variation in pathogenicity found at a given spatial scale is adaptive, as evidenced by studies that have examined local adaptation at scales ranging from single hosts through metapopulations to entire continents, and – to a lesser extent - by comparisons of pathogenicity with neutral genetic variation. Together these results support coevolutionary selection through fluctuating selection dynamics. We end by outlining several promising directions for future research.

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Partial Resistance in the Linum-Melampsora Host-Pathogen System: Does Partial Resistance Make the Red Queen Run Slower?

Cited by 30 publications

References 35 publications

Evolution of host range inColeosporium ipomoeae, a plant pathogen with multiple hosts

Evolution of host range inColeosporium ipomoeae, a plant pathogen with multiple hosts

Local demographic and epidemiological patterns in theLinum marginale–Melampsora liniassociation: a multi‐year study

Variation in infectivity and aggressiveness in space and time in wild host–pathogen systems: causes and consequences

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