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J J Bull

Publications and source records attributed to J J Bull.

At least 19 recordsLinked to original sources

Compensatory evolution in response to a novel RNA polymerase: orthologous replacement of a central network gene.

A bacteriophage genome was forced to evolve a new system of regulation by replacing its RNA polymerase (RNAP) gene, a central component of the phage developmental pathway, with that of a relative. The experiment used the obligate lytic phage T7 and the RNAP gene of phage T3. T7 RNAP uses 17 phage promoters, which are responsible for all middle and late gene expression, DNA replication, and progeny maturation, but the enzyme has known physical contacts with only 2 other phage proteins. T3 RNAP was supplied in trans by the bacterial host to a T7 genome lacking its own RNAP gene and the phage population was continually propagated on naive bacteria throughout the adaptation. Evolution of the T3 RNAP gene was thereby prevented, and selection was for the evolution of regulatory signals throughout the phage genome. T3 RNAP transcribes from T7 promoters only at low levels, but a single mutation in the promoter confers high expression, providing a ready mechanism for reevolution of gene expression in this system. When selected for rapid growth, fitness of the engineered phage evolved from a low of 5 doublings/h to 33 doublings/h, close to the expected maximum of 37 doublings/h. However, the experiment was terminated before it could be determined accurately that fitness had reached an obvious plateau, and it is not known whether further adaptation could have resulted in complete recovery of fitness. More than 30 mutations were observed in the evolved genome, but changes were found in only 9 of the 16 promoters, and several coding changes occurred in genes with no known contacts with the RNAP. Surprisingly, the T7 genome adapted to T3 RNAP also maintained high fitness when using T7 RNAP, suggesting that the extreme incompatibility of T7 elements with T3 RNAP is not an invariant property of divergence in these expression systems.

Bacteriophage T3↗

Theory of lethal mutagenesis for viruses.

Mutation is the basis of adaptation. Yet, most mutations are detrimental, and elevating mutation rates will impair a population's fitness in the short term. The latter realization has led to the concept of lethal mutagenesis for curing viral infections, and work with drugs such as ribavirin has supported this perspective. As yet, there is no formal theory of lethal mutagenesis, although reference is commonly made to Eigen's error catastrophe theory. Here, we propose a theory of lethal mutagenesis. With an obvious parallel to the epidemiological threshold for eradication of a disease, a sufficient condition for lethal mutagenesis is that each viral genotype produces, on average, less than one progeny virus that goes on to infect a new cell. The extinction threshold involves an evolutionary component based on the mutation rate, but it also includes an ecological component, so the threshold cannot be calculated from the mutation rate alone. The genetic evolution of a large population undergoing mutagenesis is independent of whether the population is declining or stable, so there is no runaway accumulation of mutations or genetic signature for lethal mutagenesis that distinguishes it from a level of mutagenesis under which the population is maintained. To detect lethal mutagenesis, accurate measurements of the genome-wide mutation rate and the number of progeny per infected cell that go on to infect new cells are needed. We discuss three methods for estimating the former. Estimating the latter is more challenging, but broad limits to this estimate may be feasible.

Antiviral Agents↗

From bad to good: Fitness reversals and the ascent of deleterious mutations.

Deleterious mutations are considered a major impediment to adaptation, and there are straightforward expectations for the rate at which they accumulate as a function of population size and mutation rate. In a simulation model of an evolving population of asexually replicating RNA molecules, initially deleterious mutations accumulated at rates nearly equal to that of initially beneficial mutations, without impeding evolutionary progress. As the mutation rate was increased within a moderate range, deleterious mutation accumulation and mean fitness improvement both increased. The fixation rates were higher than predicted by many population-genetic models. This seemingly paradoxical result was resolved in part by the observation that, during the time to fixation, the selection coefficient (s) of initially deleterious mutations reversed to confer a selective advantage. Significantly, more than half of the fixations of initially deleterious mutations involved fitness reversals. These fitness reversals had a substantial effect on the total fitness of the genome and thus contributed to its success in the population. Despite the relative importance of fitness reversals, however, the probabilities of fixation for both initially beneficial and initially deleterious mutations were exceedingly small (on the order of 10(-5) of all mutations).

Adaptation, Biological↗

Optimality models of phage life history and parallels in disease evolution.

Optimality models constitute one of the simplest approaches to understanding phenotypic evolution. Yet they have shortcomings that are not easily evaluated in most organisms. Most importantly, the genetic basis of phenotype evolution is almost never understood, and phenotypic selection experiments are rarely possible. Both limitations can be overcome with bacteriophages. However, phages have such elementary life histories that few phenotypes seem appropriate for optimality approaches. Here we develop optimality models of two phage life history traits, lysis time and host range. The lysis time models show that the optimum is less sensitive to differences in host density than suggested by earlier analytical work. Host range evolution is approached from the perspective of whether the virus should avoid particular hosts, and the results match optimal foraging theory: there is an optimal "diet" in which host types are either strictly included or excluded, depending on their infection qualities. Experimental tests of both models are feasible, and phages provide concrete illustrations of many ways that optimality models can guide understanding and explanation. Phage genetic systems already support the perspective that lysis time and host range can evolve readily and evolve without greatly affecting other traits, one of the main tenets of optimality theory. The models can be extended to more general properties of infection, such as the evolution of virulence and tissue tropism.

Animals↗

Evolutionary feedback mediated through population density, illustrated with viruses in chemostats.

A cornerstone of evolutionary ecology is that population density affects adaptation: r and K selection is the obvious example. The reverse is also appreciated: adaptation impacts population density. Yet, empirically demonstrating a direct connection between population density and adaptation is challenging. Here, we address both evolution and ecology of population density in models of viral (bacteriophage) chemostats. Chemostats supply nutrients for host cell growth, and the hosts are prey for viral reproduction. Two different chemostat designs have profoundly different consequences for viral evolution. If host and virus are confined to the same chamber, as in a predator-prey system, viral regulation of hosts feeds back to maintain low viral density (measured as infections per cell). Viral adaptation impacts host density but has a small effect on equilibrium viral density. More interesting are chemostats that supply the viral population with hosts from a virus-free refuge. Here, a type of evolutionary succession operates: adaptation at low viral density leads to higher density, but high density then favors competitive ability. Experiments support these models with both phenotypic and molecular data. Parallels to these designs exist in many natural systems, so these experimental systems may yield insights to the evolution and regulation of natural populations.

Adaptation, Biological↗

Gene order constrains adaptation in bacteriophage T7.

The order of genes in the genome is commonly thought to have functional significance for gene regulation and fitness but has not heretofore been tested experimentally. We adapted a bacteriophage T7 variant harboring an ectopically positioned RNA polymerase gene to determine whether it could regain the fitness of the wild type. Two replicate lines maintained the starting gene order and showed only modest recovery of fitness, despite the accumulation of over a dozen mutations. In both lines, a mutation in the early terminator signal is responsible for the majority of the fitness recovery. In a third line, the phage evolved a new gene order, restoring the wild-type position of the RNA polymerase gene but also displacing several other genes to ectopic locations. Due to the recombination, the fitness of this replicate was the highest obtained but it falls short of the wild type adapted to the same growth conditions. The large benefits afforded by the terminator mutation and the recombination are explicable in terms of T7 biology, whereas several mutations with lesser benefits are not easily accounted for. These results support the premise that gene order is important to fitness and that wild-type fitness is not rapidly re-evolved in reorganized genomes.

Adaptation, Physiological↗

Distributions of beneficial fitness effects in RNA.

Beneficial mutations are the driving force of evolution by natural selection. Yet, relatively little is known about the distribution of the fitness effects of beneficial mutations in populations. Recent work of Gillespie and Orr suggested some of the first generalizations for the distributions of beneficial fitness effects and, surprisingly, they depend only weakly on biological details. In particular, the theory suggests that beneficial mutations obey an exponential distribution of fitness effects, with the same exponential parameter across different regions of genotype space, provided only that few possible beneficial mutations are available to that genotype. Here we tested this hypothesis with a quasi-empirical model of RNA evolution in which fitness is based on the secondary structures of molecules and their thermodynamic stabilities. The fitnesses of randomly selected genotypes appeared to follow a Gumbel-type distribution and thus conform to a basic assumption of adaptation theory. However, the observed distributions of beneficial fitness effects conflict with specific predictions of the theory. In particular, the distributions of beneficial fitness effects appeared exponential only when the vast majority of small-effect beneficial mutations were ignored. Additionally, the distribution of beneficial fitness effects varied with the fitness of the parent genotype. We believe that correlation of the fitness values among similar genotypes is likely the cause of the departure from the predictions of recent adaptation theory. Although in conflict with the current theory, these results suggest that more complex statistical generalizations about beneficial mutations may be possible.

Evolution, Molecular↗

Adaptive molecular evolution for 13,000 phage generations: a possible arms race.

Bacteriophage phiX174 was evolved on a continuous supply of sensitive hosts for 180 days ( approximately 13,000 phage generations). The average rate of nucleotide substitution was nearly 0.2% (11 substitutions)/20 days, and, surprisingly, substitutions accumulated in a clock-like manner throughout the study, except for a low rate during the first 20 days. Rates of silent and missense substitutions varied over time and among genes. Approximately 40% of the 71 missense changes and 25% of the 58 silent changes have been observed in previous adaptations; the rate of parallel substitution was highest in the early phase of the evolution, but 7% of the later changes had evolved in previous studies of much shorter duration. Several lines of evidence suggest that most of the changes were adaptive, even many of the silent substitutions. The sustained, high rate of adaptive evolution for 180 days defies a model of adaptation to a constant environment. We instead suggest that continuing molecular evolution reflects a potentially indefinite arms race, stemming from high levels of co-infection and the resulting conflict among genomes competing within the same cell.

Adaptation, Biological↗

Ectopic expression of c-Myc in the skin affects the hair growth cycle and causes an enlargement of the sebaceous gland.

BACKGROUND: The hair follicle continually undergoes dynamic remodelling in a cyclical manner involving tightly coordinated patterns of cell proliferation, differentiation and apoptosis. The oncoprotein c-Myc is a key regulator of these events in epidermal keratinocytes, but its importance in the hair growth cycle has not previously been determined. OBJECTIVES: To determine the role of c-Myc in the hair growth cycle. METHODS: We characterized the hair follicle phenotype of transgenic mice that permit expression of a switchable form of c-Myc (c-Myc-ER) in the suprabasal epithelial layers of the epidermis and hair follicle. RESULTS: c-Myc activation increased epithelial cell proliferation in the outer root sheath and distal hair follicle, without any substantial alteration in levels of apoptosis. Moreover, chronic c-Myc activation resulted in marked desynchronization of the murine hair growth cycle, uncoupling of hair cycle-related skin thickness and enlargement of the sebaceous gland. CONCLUSIONS: These data implicate c-Myc in the control of hair growth cycling and hair cycle-related epidermal and sebaceous gland homeostasis. We suggest that c-Myc may be activating follicular stem cells either directly or indirectly and that this has important implications for control of the 'hair cycle clock', hair growth and epidermal maintenance.

Animals↗

Impact of phages on two-species bacterial communities.

A long history of experimental work has shown that addition of bacteriophages to a monoculture of bacteria leads to only a temporary depression of bacterial levels. Resistant bacteria usually become abundant, despite reduced growth rates relative to those of phage-sensitive bacteria. This restoration of high bacterial density occurs even if the phages evolve to overcome bacterial resistance. We believe that the generality of this result may be limited to monocultures, in which the resistant bacteria do not face competition from bacterial species unaffected by the phage. As a simple case, we investigated the impact of phages attacking one species in a two-species culture of bacteria. In the absence of phages, Escherichia coli B and Salmonella enterica serovar Typhimurium were stably maintained during daily serial passage in glucose minimal medium (M9). When either of two E. coli-specific phages (T7 or T5) was added to the mixed culture, E. coli became extinct or was maintained at densities that were orders of magnitude lower than those before phage introduction, even though the E. coli densities with phage reached high levels when Salmonella was absent. In contrast, the addition of a phage that attacked only Salmonella (SP6) led to transient decreases in the bacterial number whether E. coli was absent or present. These results suggest that phages can sometimes, although not always, provide long-term suppression of target bacteria.

Bacteriophage T7↗

Quasispecies made simple.

Quasispecies are clouds of genotypes that appear in a population at mutation-selection balance. This concept has recently attracted the attention of virologists, because many RNA viruses appear to generate high levels of genetic variation that may enhance the evolution of drug resistance and immune escape. The literature on these important evolutionary processes is, however, quite challenging. Here we use simple models to link mutation-selection balance theory to the most novel property of quasispecies: the error threshold-a mutation rate below which populations equilibrate in a traditional mutation-selection balance and above which the population experiences an error catastrophe, that is, the loss of the favored genotype through frequent deleterious mutations. These models show that a single fitness landscape may contain multiple, hierarchically organized error thresholds and that an error threshold is affected by the extent of back mutation and redundancy in the genotype-to-phenotype map. Importantly, an error threshold is distinct from an extinction threshold, which is the complete loss of the population through lethal mutations. Based on this framework, we argue that the lethal mutagenesis of a viral infection by mutation-inducing drugs is not a true error catastophe, but is an extinction catastrophe.

Genes, Lethal↗

Genetic details, optimization and phage life histories.

Optimality models assume that phenotypes evolve by natural selection largely independently of underlying genetic mechanisms. This neglect of genetic mechanisms is considered an advantage by some evolutionary biologists but a fatal flaw by others. The controversy has gone unresolved, in part, from a lack of complex phenotypes that meet optimality criteria and for which the underlying genetic mechanisms are known. Here, we look at both perspectives for lysis time in bacteriophages. We find that the basic assumptions of the optimality model are compatible with the genetic details, but the optimality model is limited in its ability to accommodate lysis time plasticity because the mechanistic underpinnings of plasticity are poorly known.

Journal Article↗

Genome properties and the limits of adaptation in bacteriophages.

Eight bacteriophages were adapted for rapid growth under similar conditions to compare their evolved, endpoint fitnesses. Four pairs of related phages were used, including two RNA phages with small genomes (MS2 and Qbeta) two single-stranded DNA phages with small genomes (phiX174 and G4), two T-odd phages with medium-sized, double-stranded DNA genomes (T7 and T3), and two T-even phages with large, double-stranded DNA genomes (T6 and RB69). Fitness was measured as absolute growth rate per hour under the same conditions used for adaptation. T7 and T3 achieved the highest fitnesses, able to increase by 13 billionfold and three-quarters billionfold per hour, respectively. In contrast, the RNA phages achieved low fitness maxima, with growth rates approximately 400-fold and 4000-fold per hour. The highest fitness limits were not attributable to high mutation rates or small genome size, even though both traits are expected to enhance adaptation for fast growth. We suggest that major differences in fitness limits stem from different "global" constraints, determined by the organization and composition of the phage genome affecting whether and how it overcomes potentially rate-limiting host processes, such as transcription, translation, and replication. Adsorption rates were also measured on the evolved phages. No consistent pattern of adsorption rate and fitness was observed across the four different types of phages, but within each pair of related phages, higher adsorption was associated with higher fitness. Different adsorption rate limits within pairs may stem from "local" constraints-sequence differences leading to different local optima in the sequence space.

Adaptation, Biological↗

Experimental evolution yields hundreds of mutations in a functional viral genome.

Two lines of the bacteriophage T7 were grown to fix mutations indiscriminately, using a combination of population bottlenecks and mutagenesis. Complete genome sequences revealed 404 and 299 base substitutions in the two lines, the largest number characterized in functional microbial genomes so far. Missense substitutions outnumbered silent substitutions. Silent substitutions occurred at similar rates between essential and nonessential genes, but missense substitutions occurred at a higher rate in nonessential genes than in essential genes, as expected if they were less deleterious in the nonessential genes. Viral fitness declined during this protocol, and subsequent passaging of each mutated line in large population sizes restored some of the lost fitness. Substitution levels during these recoveries were less than 6% of those during the bottleneck phase, and only two changes during recovery were reversions of the original mutations. Exchanges of genomic fragments between the two recovered lines revealed that fitness effects of some substitutions were not additive-that interactions were accumulating which could lead to incompatibility between the diverged genomes. Based on these results, unprecedented high rates of nucleotide and functional divergence in viral genomes should be attainable experimentally by using repeated population bottlenecks at a high mutation rate interspersed with recovery.

Bacteriophage T7↗

Dynamics of success and failure in phage and antibiotic therapy in experimental infections.

BACKGROUND: In 1982 Smith and Huggins showed that bacteriophages could be at least as effective as antibiotics in preventing mortality from experimental infections with a capsulated E. coli (K1) in mice. Phages that required the K1 capsule for infection were more effective than phages that did not require this capsule, but the efficacies of phages and antibiotics in preventing mortality both declined with time between infection and treatment, becoming virtually ineffective within 16 hours. RESULTS: We develop quantitative microbiological procedures that (1) explore the in vivo processes responsible for the efficacy of phage and antibiotic treatment protocols in experimental infections (the Resistance Competition Assay, or RCA), and (2) survey the therapeutic potential of phages in vitro (the Phage Replication Assay or PRA). We illustrate the application and utility of these methods in a repetition of Smith and Huggins' experiments, using the E. coli K1 mouse thigh infection model, and applying treatments of phages or streptomycin. CONCLUSIONS: 1) The Smith and Huggins phage and antibiotic therapy results are quantitatively and qualitatively robust. (2) Our RCA values reflect the microbiological efficacies of the different phages and of streptomycin in preventing mortality, and reflect the decline in their efficacy with a delay in treatment. These results show specifically that bacteria become refractory to treatment over the term of infection. (3) The K1-specific and non-specific phages had similar replication rates on bacteria grown in broth (based on the PRA), but the K1-specific phage had markedly greater replication rates in mouse serum.

Animals↗

Experimental genomic evolution: extensive compensation for loss of DNA ligase activity in a virus.

Deletion of the viral ligase gene drastically reduced the fitness of bacteriophage T7 on a ligase-deficient host. Viral evolution recovered much of this fitness during long-term passage, but the final fitness remained below that of the intact virus. Compensatory changes occurred chiefly in genes involved in DNA metabolism: the viral endonuclease, helicase, and DNA polymerase. Two other compensatory changes of unknown function also occurred. Using a method to distinguish compensatory mutations from other beneficial mutations, five additional substitutions from the recovery were shown to enhance adaptation to culture conditions and were not compensatory for the deletion. In contrast to the few previous studies of viral recovery from deletions, the compensatory changes in T7 did not restore the deletion or duplicate major regions of the genome. The ability of this deleted genome to recover much of the lost fitness via mutations in its remaining genes reveals a considerable evolutionary potential to modify the interactions of its elements in maintaining an essential set of functions.

Adaptation, Physiological↗

Distribution of LINEs and other repetitive elements in the karyotype of the bat Carollia: implications for X-chromosome inactivation.

The Lyon repeat hypothesis postulates that long interspersed elements (LINEs) play a role in X-chromosome inactivation. Evidence to support this hypothesis includes the observation that the degree of inactivation of autosomes translocated to the X chromosome is correlated with LINE density on that autosome. We examined the distribution of LINEs in the fruit bat Carollia brevicauda, which has an autosomal translocation to the X that occurred at least 7 million years ago. A quantitative analysis of LINE accumulation on multiple metaphase chromosome spreads revealed a significant accumulation on the original X relative to the attached autosome, the homolog of that autosome (Y(2)), and chromosome 1. Previous replication studies indicate that for the X and attached autosome, only the original X chromosome replicates late in Carollia females, and that the attached autosome replicates in the same timeframe as other autosomes. These data are compatible with the Lyon repeat hypothesis, and the possibility that LINEs act as booster elements for X inactivation remains a viable hypothesis. We address the procedures and limitations of quantitative analysis based on in situ hybridization.

Animals↗