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ABSTRACT: Abstract Viruses and other pathogens can diverge in their evolved host-use strategies because of exposure to different host types and conflicts between within-host reproduction and between-host survival. Most host-pathogen studies have emphasized the role of intrahost reproduction in the evolution of pathogen virulence, whereas the role of extra-host survival has received less attention. Here, we examine the evolution of free-living virion survival in RNA virus populations differing in their histories of host use. To do so, we used lineages of vesicular stomatitis virus (VSV) that were experimentally evolved in laboratory tissue culture for 100 generations on cancer-derived cells, noncancerous cells, or alternating passages of the two host types. We observed that free-living survival improved when VSV populations specialized on human epithelial carcinoma (HeLa) cells, whereas this trait was not associated with selection on noncancer cells or combinations of the cell types. We attributed this finding to shorter-lived HeLa monolayers and/or rapid cell-to-cell spread of viruses on HeLa cells in tissue culture, both of which could select for enhanced virus stability between host-cell replenishment. We also showed evidence that increases in virion survival were associated with decreases in virulence, which suggests a trade-off between survival and virulence for the VSV populations on one cell type. Our results shed new light on the causes and consequences of "sit and wait" infection strategies in RNA viruses.
The American Naturalist 05/2013; 181(5):585-95. · 4.72 Impact Factor
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ABSTRACT: Constant environments are often assumed to favor the evolution of specialization whereas exposure to changing environments may favor the evolution of generalists. Here we explored the phenotypic and molecular changes associated with evolving an RNA virus in constant versus fluctuating temperature environments. We used vesicular stomatitis virus (VSV) to determine whether selection at a constant temperature entails a performance trade-off at an unselected temperature, whether virus populations evolve to be generalists when selected in deterministically changing temperature environments, and whether selection under stochastically changing temperatures prevents evolved generalization, such as by constraining the ability for viruses to adaptively improve. We observed that all VSV lineages evolved at constant temperatures showed fitness gains in their selected temperature with little evidence for trade-offs in performance in the unselected environment. Evolution in deterministically and stochastically changing temperatures led to populations with the highest and lowest overall fitness gains, respectively. Sequence analysis revealed little evidence for convergent molecular evolution among lineages within the same treatment. Across all temperature treatments, the majority of genome substitutions occurred in the G (glycoprotein) gene, suggesting that this locus for the cell-binding protein plays a key role in dictating VSV performance under changing temperature.
Evolution 04/2013; 67(4):969-79. · 5.15 Impact Factor
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ABSTRACT: Viruses that infect fungi have a ubiquitous distribution and play an important role in structuring fungal communities. Most of these viruses have an unusual life history in that they are propagated exclusively via asexual reproduction or fission of fungal cells. This asexual mode of transmission intimately ties viral reproductive success to that of its fungal host, and should select for viruses that have minimal deleterious impact on the fitness of their hosts. Accordingly, viral infections of fungi frequently do not measurably impact fungal growth, and in some instances increase the fitness of the fungal host. Here we determine the impact of the loss of co-infection by LA virus and the virus-like particle M1 upon global gene expression of the fungal host Saccharomyces cerevisiae, and provide evidence supporting the idea that coevolution has selected for viral infection minimally impacting host gene expression. © 2012 Federation of European Microbiological Societies. Published by Blackwell Publishing Ltd. All rights reserved.
FEMS Yeast Research 11/2012; · 2.40 Impact Factor
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ABSTRACT: BACKGROUND: Viruses are exceedingly diverse in their evolved strategies to manipulate hosts for viral replication. However, despite these differences, most virus populations will occasionally experience two commonly-encountered challenges: growth in variable host environments, and growth under fluctuating population sizes. We used the segmented RNA bacteriophage [GREEK PHI SYMBOL]6 as a model for studying the evolutionary genomics of virus adaptation in the face of host switches and parametrically varying population sizes. To do so, we created a bifurcating deme structure that reflected lineage splitting in natural populations, allowing us to test whether phylogenetic algorithms could accurately resolve this 'known phylogeny'. The resulting tree yielded 32 clones at the tips and internal nodes; these strains were fully sequenced and measured for phenotypic changes in selected traits (fitness on original and novel hosts). RESULTS: We observed that RNA segment size was negatively correlated with the extent of molecular change in the imposed treatments; molecular substitutions tended to cluster on the Small and Medium RNA chromosomes of the virus, and not on the Large segment. Our study yielded a very large molecular and phenotypic dataset, fostering possible inferences on genotype-phenotype associations. Using further experimental evolution, we confirmed an inference on the unanticipated role of an allelic switch in a viral assembly protein, which governed viral performance across host environments. CONCLUSIONS: Our study demonstrated that varying complexities can be simultaneously incorporated into experimental evolution, to examine the combined effects of population size, and adaptation in novel environments. The imposed bifurcating structure revealed that some methods for phylogenetic reconstruction failed to resolve the true phylogeny, owing to a paucity of molecular substitutions separating the RNA viruses that evolved in our study.
BMC Evolutionary Biology 08/2012; 12(1):153. · 3.52 Impact Factor
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ABSTRACT: Although it is widely assumed that the selective advantage of niche specialization drives species biodiversity, some theory
suggests that generalists are favored over specialists when environments change unexpectedly. But this idea is rarely tested
empirically, and its relevance is unknown for microparasites such as RNA viruses. Due to their small genome sizes pleiotropy
is not uncommon in RNA viruses. Therefore, the genetic architectures underlying generalist traits may be indirectly molded
by selection to better prepare generalist organisms for growth in new environments. Previously, vesicular stomatitis viruses
were evolved to specialize on a single host, or to generalize on multiple hosts. Here we test whether virus generalists arising
in the context of host adaptation also perform differently than specialists when viruses grow at novel temperatures. We compared
thermal reaction norms of performance, within and among groups of viral specialists and generalists. Results showed that host
adaptation was consequential for some fitness traits at novel temperatures due to modification of pleiotropic viral genes.
Contrary to theoretical predictions, host generalists were selectively disadvantaged at extreme cool and warm environments.
Multi-host adaptation may compromise the evolved thermostability of viral proteins, creating a cost of host generalization
when viruses replicate at extreme temperatures.
Evolutionary Ecology 04/2012; 24(2):299-315. · 2.45 Impact Factor
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ABSTRACT: Although methods such as spectrophotometry are useful for identifying growth differences among bacterial strains, it is currently difficult to similarly determine whether bacteriophage strains differ in growth using high throughput methods. Here we use automated spectrophotometry to develop an in vitro method for indirectly distinguishing fitness (growth) differences among virus strains, based on direct measures of their infected bacterial hosts. We used computer simulations of a mathematical model for phage growth to predict which features of bacterial growth curves were best associated with differences in growth among phage strains. We then tested these predictions using the in vitro method to confirm which of the inferred viral growth traits best reflected known fitness differences among genotypes of the RNA phage phi-6, when infecting a Pseudomonas syringae host. Results showed that the inferred phage trait of time-to-extinction (time required to drive bacterial density below detectable optical density) reliably correlated with genotype rankings based on absolute fitness (phage titer per ml). These data suggested that the high-throughput analysis was valuable for identifying growth differences among virus strains, and that the method may be especially useful for high throughput analyses of fitness differences among phage strains cultured and/or evolved in liquid (unstructured) environments.
Journal of microbiological methods 11/2011; 88(1):117-21. · 2.43 Impact Factor
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ABSTRACT: Understanding how evolution promotes pathogen emergence would aid disease management, and prediction of future host shifts. Increased pathogen infectiousness of different hosts may occur through direct selection, or fortuitously via indirect selection. However, it is unclear which type of selection tends to produce host breadth promoting pathogen emergence. We predicted that direct selection for host breadth should foster emergence by causing higher population growth on new hosts, lower among-population variance in growth on new hosts, and lower population variance in growth across new hosts. We tested the predictions using experimentally evolved vesicular stomatitis virus populations, containing groups of host-use specialists, directly selected generalists, and indirectly selected generalists. In novel-host challenges, viruses directly selected for generalism showed relatively higher or equivalent host growth, lower among-population variance in host growth, and lower population variance in growth across hosts. Thus, two of three outcomes supported our prediction that directly selected host breadth should favor host colonization. Also, we observed that indirectly selected generalists were advantaged over specialist viruses, indicating that fortuitous changes in host breadth may also promote emergence. We discuss evolution of phenotypic plasticity versus environmental robustness in viruses, virus avoidance of extinction, and surveillance of pathogen niche breadth to predict future likelihood of emergence.
Evolution 11/2010; 64(11):3273-86. · 5.15 Impact Factor
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ABSTRACT: A pathogen can readily mutate to infect new host types, but this does not guarantee successful establishment in the new habitat. What factors, then, dictate emergence success? One possibility is that the pathogen population cannot sustain itself on the new host type (i.e. host is a sink), but migration from a source population allows adaptive sustainability and eventual emergence by delivering beneficial mutations sampled from the source's standing genetic variation. This idea is relevant regardless of whether the sink host is truly novel (host shift) or whether the sink is an existing or related, similar host population thriving under conditions unfavourable to pathogen persistence (range expansion). We predicted that sink adaptation should occur faster under range expansion than during a host shift owing to the effects of source genetic variation on pathogen adaptability in the sink. Under range expansion, source migration should benefit emergence in the sink because selection acting on source and sink populations is likely to be congruent. By contrast, during host shifts, source migration is likely to disrupt emergence in the sink owing to uncorrelated selection or performance tradeoffs across host types. We tested this hypothesis by evolving bacteriophage populations on novel host bacteria under sink conditions, while manipulating emergence via host shift versus range expansion. Controls examined sink adaptation when unevolved founding genotypes served as migrants. As predicted, adaptability was fastest under range expansion, and controls did not adapt. Large, similar and similarly timed increases in fitness were observed in the host-shift populations, despite declines in mean fitness of immigrants through time. These results suggest that source populations are the origin of mutations that drive adaptive emergence at the edge of a pathogen's ecological or geographical range.
Proceedings of the Royal Society B: Biological Sciences 10/2010; 277(1697):3113-21. · 5.41 Impact Factor
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ABSTRACT: The genetic structure of natural bacteriophage populations is poorly understood. Recent metagenomic studies suggest that phage biogeography is characterized by frequent migration. Using virus samples mostly isolated in Southern California, we recently showed that very little population structure exists in segmented RNA phage of the Cystoviridae family due to frequent segment reassortment (sexual genetic mixis) between unrelated virus individuals. Here we use a larger genetic dataset to examine the structure of Cystoviridae phage isolated from three geographic locations in Southern New England. We document extensive natural variation in the physical sizes of RNA genome segments for these viruses. In addition, consistent with earlier findings, our phylogenetic analyses and calculations of linkage disequilibrium (LD) show no evidence of within-segment recombination in wild populations. However, in contrast to the prior study, our analysis finds that reassortment of segments between individual phage plays a lesser role among cystoviruses sampled in New England, suggesting that the evolutionary importance of genetic mixis in Cystoviridae phage may vary according to geography. We discuss possible explanations for these conflicting results across the studies, such as differing local ecology and its impact on phage growth, and geographic differences in selection against hybrid phage genotypes.
Evolution 10/2010; 64(10):3010-23. · 5.15 Impact Factor
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ABSTRACT: RNA viruses may be particularly capable of contributing to the increasing biomedical problem of infectious disease emergence. Empirical studies and epidemiological models are informative for the understanding of evolutionary processes that promote pathogen emergence, but rarely are these approaches combined in the same study. Here, we used an epidemiology model containing observations of pathogen productivity in reservoirs, as a means to predict which pathogens should be most prone to emerge in a primary host such as humans. We employed as a model system a collection of vesicular stomatitis virus populations that had previously diverged in host-use strategy: specialists, directly selected generalists and indirectly selected (fortuitous) generalists. Using data from experiments where these viral strategists were challenged to grow on unencountered novel hosts in vitro, logistic growth models determined that the directly selected generalist viruses tended to grow best on model reservoirs. Furthermore, when we used the growth data to estimate average reproductive rate across secondary reservoirs, we showed that the combined approach could be used to estimate relative success of the differing virus strategists when encountering a primary host. Our study suggests that synergistic approaches combining epidemiological modelling with empirical data from experimental evolution may be useful for developing efforts to predict which types of pathogens pose the greatest probability of emerging in the future.
Philosophical Transactions of The Royal Society B Biological Sciences 06/2010; 365(1548):1919-30. · 6.40 Impact Factor
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ABSTRACT: Robustness describes the capacity for a biological system to remain canalized despite perturbation. Genetic robustness affords maintenance of phenotype despite mutational input, necessarily involving the role of epistasis. Environmental robustness is phenotypic constancy in the face of environmental variation, where epistasis may be uninvolved. Here we discuss genetic and environmental robustness, from the standpoint of infectious disease evolution, and suggest that robustness may be a unifying principle for understanding how different disease agents evolve. We focus especially on viruses with RNA genomes due to their importance in the evolution of emerging diseases and as model systems to test robustness theory. We present new data on adaptive constraints for a model RNA virus challenged to evolve in response to UV radiation. We also draw attention to other infectious disease systems where robustness theory may prove useful for bridging evolutionary biology and biomedicine, especially the evolution of antibiotic resistance in bacteria, immune evasion by influenza, and malaria parasite infections.
Chaos (Woodbury, N.Y.) 06/2010; 20(2):026108. · 1.80 Impact Factor
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ABSTRACT: Populations experiencing similar selection pressures can sometimes diverge in the genetic architectures underlying evolved complex traits. We used RNA virus populations of large size and high mutation rate to study the impact of historical environment on genome evolution, thus increasing our ability to detect repeatable patterns in the evolution of genetic architecture. Experimental vesicular stomatitis virus populations were evolved on HeLa cells, on MDCK cells, or on alternating hosts. Turner and Elena (2000. Cost of host radiation in an RNA virus. Genetics. 156:1465-1470.) previously showed that virus populations evolved in single-host environments achieved high fitness on their selected hosts but failed to increase in fitness relative to their ancestor on the unselected host and that alternating-host-evolved populations had high fitness on both hosts. Here we determined the complete consensus sequence for each evolved population after 95 generations to gauge whether the parallel phenotypic changes were associated with parallel genomic changes. We also analyzed the patterns of allele substitutions to discern whether differences in fitness across hosts arose through true pleiotropy or the presence of not only a mutation that is beneficial in both hosts but also 1 or more mutations at other loci that are costly in the unselected environment (mutation accumulation [MA]). We found that ecological history may influence to what extent pleiotropy and MA contribute to fitness asymmetries across environments. We discuss the degree to which current genetic architecture is expected to constrain future evolution of complex traits, such as host use by RNA viruses.
Molecular Biology and Evolution 07/2008; 25(6):1138-47. · 5.55 Impact Factor
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ABSTRACT: The ability for an evolving population to adapt to a novel environment is achieved through a balance of robustness and evolvability. Robustness is the invariance of phenotype in the face of perturbation and evolvability is the capacity to adapt in response to selection. Genetic robustness has been posited, depending on the underlying mechanism, to either decrease the efficacy of selection, or increase the possibility of future adaptation. However, the true effect of genetic robustness on evolvability in biological systems remains uncertain.
Here we demonstrate that genetic robustness increases evolvability of thermotolerance in laboratory populations of the RNA virus phi6. We observed that populations founded by robust clones evolved greater resistance to heat shock, relative to populations founded by brittle (less-robust) clones. Thus, we provide empirical evidence for the idea that robustness can promote evolvability in this environment, and further suggest that evolvability can arise indirectly via selection for robustness, rather than through direct selective action.
Our data imply that greater tolerance of mutational change is associated with virus adaptability in a new niche, a finding generally relevant to evolutionary biology, and informative for elucidating how viruses might evolve to emerge in new habitats and/or overcome novel therapies.
BMC Evolutionary Biology 02/2008; 8:231. · 3.52 Impact Factor
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ABSTRACT: The mutability of bacteriophages offers a particular advantage in the treatment of bacterial infections not afforded by other antimicrobial therapies. When phage-resistant bacteria emerge, mutation may generate phage capable of exploiting and thus limiting population expansion among these emergent types. However, while mutation potentially generates beneficial variants, it also contributes to a genetic load of deleterious mutations. Here, we model the influence of varying phage mutation rate on the efficacy of phage therapy. All else being equal, phage types with historical mutation rates of approximately 0.1 deleterious mutations per genome per generation offer a reasonable balance between beneficial mutational diversity and deleterious mutational load. We determine that increasing phage inoculum density can undesirably increase the peak density of a mutant bacterial class by limiting the in situ production of mutant phage variants. For phage populations with minimal genetic load, engineering mutation rate increases beyond the mutation-selection balance optimum may provide even greater protection against emergent bacterial types, but only with very weak selective coefficients for de novo deleterious mutations (below approximately 0.01). Increases to the mutation rate beyond the optimal value at mutation-selection balance may therefore prove generally undesirable.
Journal of Theoretical Biology 01/2008; 249(3):411-21. · 2.21 Impact Factor
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ABSTRACT: Spatially structured environments may impact evolution by restricting population sizes, limiting opportunities for genetic mixis, or weakening selection against deleterious genotypes. When habitat structure impedes dispersal, low-productivity (less virulent) infectious parasites may benefit from their prudent exploitation of local hosts. Here we explored the combined ability for habitat structure and host density to dictate the relative reproductive success of differentially productive parasites. To do so, we allowed two RNA bacteriophage Phi6 genotypes to compete in structured and unstructured (semi-solid versus liquid) habitats while manipulating the density of Pseudomonas hosts. In the unstructured habitats, the more-productive phage strain experienced a relatively constant fitness advantage regardless of starting host density. By contrast, in structured habitats, restricted phage dispersal may have magnified the importance of local productivity, thus allowing the relative fitness of the less-productive virus to improve as host density increased. Further data suggested that latent period (duration of cellular infection) and especially burst size (viral progeny produced per cell) were the phage "life-history" traits most responsible for our results. We discuss the relevance of our findings for selection occurring in natural phage populations and for the general evolutionary epidemiology of infectious parasites.
Evolution 12/2007; 61(11):2516-27. · 5.15 Impact Factor
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ABSTRACT: Ecological speciation hypotheses claim that assortative mating evolves as a consequence of divergent natural selection for ecologically important traits. Reproductive isolation is expected to be particularly likely to evolve by this mechanism in species such as phytophagous insects that mate in the habitats in which they eat. We tested this expectation by monitoring the evolution of reproductive isolation in laboratory populations of an RNA virus that undergoes genetic exchange only when multiple virus genotypes coinfect the same host. We subjected four populations of the RNA bacteriophage phi6 to 150 generations of natural selection on a novel host. Although there was no direct selection acting on host range in our experiment, three of the four populations lost the ability to infect one or more alternative hosts. In the most extreme case, one of the populations evolved a host range that does not contain any of the hosts infectible by the wild-type phi6. Whole genome sequencing confirmed that the resulting reproductive isolation was due to a single nucleotide change, highlighting the ease with which an emerging RNA virus can decouple its evolutionary fate from that of its ancestor. Our results uniquely demonstrate the evolution of reproductive isolation in allopatric experimental populations. Furthermore, our data confirm the biological credibility of simple "no-gene" mechanisms of assortative mating, in which this trait arises as a pleiotropic effect of genes responsible for ecological adaptation.
Evolution 12/2007; 61(11):2614-22. · 5.15 Impact Factor
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ABSTRACT: Populations are at risk of extinction when unsuitable or when sink habitat exceeds a threshold frequency in the environment. Sinks that present cues associated with high-quality habitats, termed ecological traps, have especially detrimental effects on net population growth at metapopulation scales. Ecological traps for viruses arise naturally, or can be engineered, via the expression of viral-binding sites on cells that preclude viral reproduction. We present a model for virus population growth in a heterogeneous host community, parameterized with data from populations of the RNA bacteriophage Phi6 presented with mixtures of suitable host bacteria and either neutral or trap cells. We demonstrate that viruses can sustain high rates of population growth in the presence of neutral non-hosts as long as some host cells are present, whereas trap cells dramatically reduce viral fitness. In addition, we demonstrate that the efficacy of traps for viral elimination is frequency dependent in spatially structured environments such that population viability is a nonlinear function of habitat loss in dispersal-limited virus populations. We conclude that the ecological concepts applied to species conservation in altered landscapes can also contribute to the development of trap cell therapies for infectious human viruses.
Ecology Letters 04/2007; 10(3):230-40. · 17.56 Impact Factor
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ABSTRACT: Natural genetic transformation can facilitate gene transfer in many genera of bacteria and requires the presence of extracellular DNA. Although cell lysis can contribute to this extracellular DNA pool, several studies have suggested that the secretion of DNA from living bacteria may also provide genetic material for transformation. This paper reviews the evidence for specific secretion of DNA from intact bacteria into the extracellular environment and examines this behaviour from a population-genetics perspective. A mathematical model demonstrates that the joint action of DNA secretion and transformation creates a novel type of gene-level natural selection. This model demonstrates that gene-level selection could explain the existence of DNA secretion mechanisms that provide no benefit to individual cells or populations of bacteria. Additionally, the model predicts that any trait affecting DNA secretion will experience selection at the gene level in a transforming population. This analysis confirms that the secretion of DNA from intact bacterial cells is fully explicable with evolutionary theory, and reveals a novel mechanism for bacterial evolution.
Microbiology 10/2006; 152(Pt 9):2683-8. · 3.06 Impact Factor
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ABSTRACT: Pathogens vectored by nematodes pose serious agricultural, economic, and health threats; however, little is known of the ecological and evolutionary aspects of pathogen transmission by nematodes. Here we describe a novel model system with two trophic levels, bacteriophages and nematodes, each of which competes for bacteria. We demonstrate for the first time that nematodes are capable of transmitting phages between spatially distinct patches of bacteria. This model system has considerable advantages, including the ease of maintenance and manipulation at the laboratory bench, the ability to observe many generations in short periods, and the capacity to freeze evolved strains for later comparison to their ancestors. More generally, experimental studies of complex multispecies interactions, host-pathogen coevolution, disease dynamics, and the evolution of virulence may benefit from this model system because current models (e.g., chickens, mosquitoes, and malaria parasites) are costly to maintain, are difficult to manipulate, and require considerable space. Our initial explorations centered on independently assessing the impacts of nematode, bacterium, and phage population densities on virus migration between host patches. Our results indicated that virus transmission increases with worm density and host bacterial abundance; however, transmission decreases with initial phage abundance, perhaps because viruses eliminate available hosts before migration can occur. We discuss the microbial growth dynamics that underlie these results, suggest mechanistic explanations for nematode transmission of phages, and propose intriguing possibilities for future research.
Applied and Environmental Microbiology 04/2006; 72(3):1974-9. · 3.83 Impact Factor
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ABSTRACT: Viruses can occasionally emerge by infecting new host species. However, the early phases of emergence can hinge upon ecological sustainability of the virus population, which is a product of both within-host population growth and between-host transmission. Insufficient growth or transmission can force virus extinction before the latter phases of emergence, where genetic adaptations that improve host use may occur. We examined the early phase of emergence by studying the population dynamics of RNA phages in replicated laboratory environments containing native and novel host bacteria. To predict the breadth of transmission rates allowing viral persistence on each species, we developed a simple model based on in vitro data for phage growth rate over a range of initial population densities on both hosts. Validation of these predictions using serial passage experiments revealed a range of transmission rates for which the native host was a source and the novel host was a sink. In this critical range of transmission rates, periodic exposure to the native host was sufficient for the maintenance of the viral population on the novel host. We argue that this effect should facilitate adaptation by the virus to utilize the novel host--often crucial in subsequent phases of emergence.
The American Naturalist 04/2006; 167(3):429-39. · 4.72 Impact Factor
