The ecological and evolutionary dynamics of species are influenced by spatiotemporal variation in population size. Unfortunately, we are usually limited in our ability to investigate the numerical ...dynamics of natural populations across large spatial scales and over long periods of time. Here we combine mechanistic and statistical approaches to reconstruct continuous‐time infection dynamics of an obligate fungal pathogen on the basis of discrete‐time occurrence data. The pathogen,Podosphaera plantaginis, infects its host plant,Plantago lanceolata, in a metapopulation setting where the presence of the pathogen has been recorded annually for 6 years in ∼4,000 host populations across an area of 50 km × 70 km in Finland. The dynamics are driven by strong seasonality, with a high extinction rate during winter and epidemic expansion in summer for local pathogen populations. We are able to identify with our model the regions in the study area where overwintering has been most successful. These overwintering sites represent foci that initiate local epidemics during the growing season. There is striking heterogeneity at the regional scale in both the overwintering success of the pathogen and the encounter intensity between the host and the pathogen. Such heterogeneity has profound implications for the coevolutionary dynamics of the interaction.
Trade‐offs in life‐history traits are a central tenet in evolutionary biology, yet their ubiquity and relevance to realized fitness of populations remains questioned. Trade‐offs in pathogens are of ...particular interest because they may constrain the evolution and epidemiology of diseases. Here, studies that have measured life‐history trade‐offs in pathogens (fungi, oomycetes and viruses) of agricultural crops, as well as pathogens attacking wild host plants, are reviewed. The majority of studies report a penalty associated with high virulence as is evidenced by lower performance during subsequent life‐history stages. However, costs are not pervasive, and the strength and even shape of life‐history correlations can vary according to host genotype, and abiotic environment. Importantly, life‐history trade‐offs are shown to have profound epidemiological implications ranging from lower disease prevalence of strains harbouring unnecessary virulence, to increased extinction risk at the metapopulation level. From an evolutionary perspective, costs of virulence are shown to constrain the range of R genes, and hence host genotypes, a given strain can adapt to. Moreover, costs of virulence play an important role in limiting the host range of pathogens. Hence, analysis of pathogen life history plays a key role in identifying means of battling disease, from breeding durable resistance to epidemiological intervention strategies.
The sexual stage of pathogens governs recombination patterns and often also provides means of surviving the off‐season. Despite its importance for evolutionary potential and between‐season ...epidemiology, sexual systems have not been carefully investigated for many important pathogens, and what generates variation in successful sexual reproduction of pathogens remains unexplored. We surveyed the sexually produced resting structures (chasmothecia) across 86 natural populations of fungal pathogen Podosphaera plantaginis (Ascomycota) naturally infecting Plantago lanceolata in the Åland archipelago, southwestern Finland. For this pathosystem, these resting structures are a key life‐history stage, as more than half of the local pathogen populations go extinct every winter. We uncovered substantial variation in the level of chasmothecia produced among populations, ranging from complete absence to presence on all infected leaves. We found that chasmothecia developed within clonal isolates (single‐strain cultures). Additionally, these clonal isolates all contained both MAT1‐1‐1 and MAT1‐2‐1 genes that characterize mating types in Ascomycetes. Hence, contrary to expectations, we conclude that this species is capable of haploid selfing. In controlled inoculations, we discovered that pathogen genotypes varied in their tendency to produce chasmothecia. Production of chasmothecia was also affected by ambient temperature (E) and by the interaction between temperature and pathogen genotype (G × E). These G, E and G × E effects found both at a European scale and within the Åland archipelago may partly explain the high variability observed among populations in chasmothecia levels. Consequently, they may be key drivers of the evolutionary potential and epidemiology of this highly dynamic pathosystem.
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 G × G interactions, gene flow, selection and genetic drift in shaping coevolutionary processes. Although 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 systems shows 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.
The rate and scale of gene flow can strongly affect patterns of local adaptation in host–parasite interactions. I used data on regional pathogen occurrence to infer the scale of pathogen dispersal ...and to identify pathogen metapopulations in the interaction between Plantago lanceolata and its specialist phytopathogen, Podosphaera plantaginis. Frequent extinctions and colonizations were recorded in the metapopulations, suggesting substantial gene flow at this spatial scale. The level of pathogen local adaptation was assessed in a laboratory inoculation experiment at three different scales: in sympatric host populations, in sympatric host metapopulations and in allopatric host metapopulations. I found evidence for adaptation to sympatric host populations, as well as evidence indicating that local adaptation may extend to the scale of the sympatric host metapopulation. There was also variation among the metapopulations in the degree of pathogen local adaptation. This may be explained by regional differences in the rate of migration.
Northern wetlands with organic soil i.e., mires are significant carbon storages. This key ecosystem service may be threatened by anthropogenic activities and climate change, yet we still lack a ...consensus on how these major changes affects their carbon sink capacities. We studied how forestry drainage and restoration combined with experimental warming, impacts greenhouse gas fluxes of wetlands with peat. We measured CO2 and CH4 during two and N2O fluxes during one growing season using the chamber method.
Gas fluxes were primarily controlled by water table, leaf area and temperature. Land use had a clear impact of on CO2 exchange. Forestry drainage increased respiration rates and decreased field layer net ecosystem CO2 uptake (NEE) and leaf area index (LAI), while at restoration sites the flux rates and LAI had recovered to the level of undrained sites. CH4 emissions were exceptionally low at all sites during our study years due to natural drought, but still somewhat lower at drained compared to undrained sites. Moderate warming triggered an increase in LAI across all land use types. This was accompanied by an increase in cumulative seasonal NEE. Restoration appeared to be an effective tool to return the ecosystem functions of these wetlands as we found no differences in LAI or any gas flux components (PMAX, Reco, NEE, CH4 or N2O) between restored and undrained sites. We did not find any signs that moderate warming would compromise the return of the ecosystem functions related to C sequestration.
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•Land use had a clear impact of on CO2 exchange.•Forestry drainage increased respiration, decreased CO2 uptake and leaf area.•No differences in leaf area or any gas flux components between restored and undrained sites•Warming increased leaf area and CO2 uptake across all land use types.•Gas fluxes were primarily controlled by water table, leaf area and temperature.
As a key cellular regulatory protein p53 is subject to tight regulation by several E3 ligases. Here, we demonstrate the role of HECT domain E3 ligase, WWP1, in regulating p53 localization and ...activity. WWP1 associates with p53 and induces p53 ubiquitylation. Unlike other E3 ligases, WWP1 increases p53 stability; inhibition of WWP1 expression or expression of a ligase-mutant form results in decreased p53 expression. WWP1-mediated stabilization of p53 is associated with increased accumulation of p53 in cytoplasm with a concomitant decrease in its transcriptional activities. WWP1 effects are independent of Mdm2 as they are seen in cells lacking Mdm2 expression. Whereas WWP1 limits p53 activity, p53 reduces expression of WWP1, pointing to a possible feedback loop mechanism. Taken together, these findings identify the first instance of a ubiquitin ligase that causes stabilization of p53 while inactivating its transcriptional activities.
Understanding processes maintaining variation in pathogen life‐history stages affecting infectivity and reproduction is a key challenge in evolutionary ecology. Models of host–parasite coevolution ...are based on the assumption that genetic variation for host–parasite interactions is a significant cause of variation in infection, and that variation in environmental conditions does not overwhelm the genetic basis. However, surprisingly little is known about the stability of genotype–genotype interactions under variable environmental conditions. Here, using a naturally occurring plant–pathogen interaction, I tested whether the two distinct aspects of the infection process – infectivity and transmission potential – vary over realistic nutrient and temperature gradients. I show that the initial pathogen infectivity and host resistance responses are robust over the environmental gradients. However, for compatible responses there were striking differences in how different pathogen life‐history stages and host and pathogen genotypes responded to environmental variation. For some pathogen genotypes even slight changes in temperature arrested spore production, rendering the developing infection ineffectual. The response of pathogen genotypes to environmental gradients varied in magnitude and even direction, so that their rankings changed across the abiotic gradients. Hence, the variable environment of spatially structured host–parasite interactions may strongly influence the maintenance of polymorphism in pathogen life‐history stages governing transmission, whereas evolutionary trajectories of infectivity may be unaffected by the surrounding environment.
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