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Population
Genetics of Plant Pathogens Interactions Among Evolutionary Forces and the Genetic Structure of Pathogen PopulationsThe final result of the interaction that occurs among all of the evolutionary forces is the genetic structure of a pathogen population. Genetic structure refers to the amount and distribution of genetic variation within and among populations. This is due to the summed effect of all evolutionary forces that have acted on a population over time. The evolutionary forces of mutation, genetic drift, gene/genotype flow, reproductive/mating systems, and selection operate together to affect the genetic structure of populations. The interactions among evolutionary forces are best illustrated by using several examples from the plant pathology literature:
Interaction Between Mutation and SelectionThough many forces may interact to determine pathogen evolution, the interaction between mutation and selection remains the dominant paradigm to explain the evolution of plant pathogens based on experience with boom-and-bust cycles with cereal rusts in North America, Europe, and Australia. In a boom-and-bust cycle, a resistant cultivar with single, major resistance gene is introduced into an agroecosystem to control a plant disease. If the resistant cultivar has good agronomic characters and is widely accepted by farmers because it is disease-resistant, the cultivar spreads and is planted over a large area. This is the "boom" part of the cycle, characterized by an increase in the area planted to the resistance gene (Figure 32). In the pathogen population exposed to this resistance gene, a mutation from avirulence to virulence occurs. The mutation could be the loss of the elicitor recognized by the resistance gene. Selection imposed by the resistant cultivar increases the frequency of pathogen strains with the virulence mutation, usually in a time-lagged manner that shadows the increase in frequency of the resistance gene (Figure 32). The virulent pathotypes spread (by gene or genotype flow) and infect all fields with the resistant cultivar, causing an epidemic and leading to a loss of effectiveness of the resistance gene. Because the resistance is "broken", farmers stop planting the resistant cultivar and the corresponding resistance gene decreases in frequency. This is the "bust" part of the cycle (Figure 32). The cycle begins again with the introduction of a new resistant cultivar.
The boom and bust cycle is colorfully described in the following excerpt from EC Stakman’s 1957 manuscript. He shows that gene flow is involved in the Puccinia pathway.
Interaction Between Recombination and SelectionRecombination and selection affected the diversity in Puccinia graminis f. sp. tritici pathotypes in North America. Before barberry eradication (~ 500 million barberry bushes were removed over 50 years in North America), hundreds or thousands of pathotypes of the stem rust pathogen P. graminis f. sp. tritici existed as a result of recombination on the alternate host. The sexual stage of this pathogen occurs only on the barberry host. By 1950, only four races were found in abundance (Roelfs, 1982). After removal of alternate hosts (Table 7), the sexual cycle no longer occurred and efficient recombination through meiosis disappeared as well, leading to a reduction in the genotypic diversity in the rust population (Table 8). Resistance gene pyramids began working in North America because the pathogen population stabilized into a limited number of clonal lineages. The only source of diversity in the rust population became mutation within clonal lineages. Recombination was no longer available as a means of assembling new virulence allele combinations.
Interaction Between Genetic Drift, Genotype Flow and SelectionThe interaction between drift, genotype flow, and selection is described for Puccinia graminis f. sp. tritici in Australia by Burdon and Silk (1997) and is summarized in Figure 33. The original introduction of the pathogen occured during the European settlement of Australia in the 1780s. A few strains of the pathogen were introduced into Australia, leading to a founder effect. No barberries were present in Australia, so no sexual cycle existed and genotypic diversity was limited. As a result, the pathogen population was made up of several clonal lineages, that acquired mutations from avirulence to virulence within each clonal lineage. One clonal lineage (called race 126) dominated Australian wheat fields from 1921-1954. In 1954, a new race emerged (race 21), apparently carried on the jet stream from East Africa (an example of genotype flow). Within 3 years, race 21 completely replaced race 126. Race 21 had new virulence alleles, new isozyme markers, and new DNA polymorphisms. Long-distance gene flow could explain the origins of two other dominant clonal lineages that emerged in the 1970s in Australia (clones 326 and 194). This appears to be a good example of genotype replacement, where new, more-fit genotypes replaced the previously existing genotypes as a result of directional selection.
Interaction Between Selection and Genotype FlowThe interaction between selection and genotype flow is best illustrated by the example of Fusarium wilt of melon and other Fusarium wilts. Fusarium oxysporum is endemic to soils everywhere. Natural populations are aggressive colonizers of the root cortex, but usually do not cause disease. Wild-type isolates appear to be true saprophytes that do not need to kill plants to persist in the soil. Populations of the fungus that are pathogenic on plants appear to be strictly asexual. Formae speciales that infect agricultural and horticultural crops appear everywhere where intensive monocultures of crops are grown. Where do all of these pathogenic Fusarium oxysporum formae speciales come from? A model to explain this process is shown in Figure 34.
F. oxysporum pathogens within the same formae specialis can be differentiated into pathotypes according to major resistance genes deployed in host cultivars. Clones of the fungus can be differentiated using vegetative compatibility groups (VCGs), isozymes, or DNA-based markers. It has been observed several times that the same race occurs in different genetic backgrounds, meaning that the same race evolved several times completely independently (Gordon and Martyn 1997). There also are several examples where different races occur in the same genetic background, providing evidence that selection occurred for new mutations from avirulence to virulence in the same clonal lineage (Figure 35).
A population genetic interpretation of these observations is that a new pathogenic strain (formae specialis) emerges due to strong selection imposed by an agroecosystem dominated by monoculture, where a uniform host population presents a new niche that can be colonized by any rare mutant pathogenic strain that exists in the highly diverse F. oxysporum population occurring naturally in the soil. This pathogenic strain (or strains) is (are) then moved to new fields, and often around the world on infected or infested plants or soil. The same forma specialis can originate independently in different agroecosystems, generating wilt strains with independent genetic backgrounds. As an example, F. oxysporum f. sp. cubense (causing Panama Disease on bananas) appears polyphyletic. Two clonal lineages with independent origins have moved around the world (Koenig et al. 1997). This interpretation is consistent with the clonal genetic structure found for all of the Fusarium oxysporum formae speciales characterized thus far, including wilts on carnation (Migheli et al. 1998), coca (Nelson et al. 1997), oil palm (Mouyna et al. 1996), cyclamen (Woudt et al. 1995), tomato (Bao et al. 2002), lily (Baayen et al. 1998), chickpeas (Jimenez-Gasco et al. 2002), and date palm (Plyler et al. 2000). Thus it appears that Fusarium oxysporum wilts will emerge spontaneously wherever monocultures dominate and the potential for genotype flow exists. Interaction Between Recombination and Gene FlowMycosphaerella graminicola (anamorph Septoria tritici) on wheat presents a good example of the interaction between recombination and gene flow. RFLP markers have shown that populations around the world have a high degree of genotypic diversity (Figure 36), a low degree of clonality, and random associations among loci, as expected for random-mating populations that exhibit a high degree of gene flow (Linde et al. 2002; Zhan et al. 2003). The sexual cycle appears to occur in field populations around the world. Neutral RFLP markers show a high degree of similarity among field populations around the world (Figure 37). The same RFLP alleles are present at nearly identical frequencies in populations collected from Oregon and Israel, but no genotypes are shared among field populations. A field experiment provided evidence that the balance between sexual reproduction and immigration changed over the course of the growing season. At the beginning of the season, most genetic diversity came from immigration as a result of ascospores arriving from distant source populations. But by the end of the growing season, most of the genotypic diversity came from recombination among isolates within the same field (Zhan et al. 1998).
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