Biotechnological challenges of phage therapy

The challenges for successful launching of a profitable phage therapeutic product include intellectual property rights, safety issues, reproducibility, stability and robustness of the product. A successful and marketable product would be a highly purified bacteriophage preparation containing one or several fully characterized phages, accompanied by optimized methods of administration and backed up by properly controlled efficacy and safety studies.     

The curse of the pharaoh in space: free-living infectious stages and the evolution of virulence in spatially explicit populations

The idea that parasites with long-lived infective stages may evolve higher virulence has received considerable attention. This idea is called 'the curse of the pharaoh' because of the hypothesis that the death of Lord Carnavon was caused by very long-lived propagules of a highly virulent infectious disease. Here, we examined the evolution of diseases that transmit via free-living stages in a spatial context. We show that, if virulence evolves independently of transmission, long-lived infective stages can select for higher virulence. There is always the evolution of a finite transmission rate, which becomes higher when the infective stages are shorter lived. When a trade-off occurs between transmission and virulence, we show that there is no evidence for the curse of the pharaoh. Indeed, higher transmission and therefore virulence may be selected for by shorter rather than long-lived infective stages.     

Optimality modeling in a suboptimal world

The fate of optimality modeling is typically linked to that of adaptationism: the two are thought to stand or fall together (Gould and Lewontin, Proc Relig Soc Lond 205:581–598, 1979; Orzack and Sober, Am Nat 143(3):361–380, 1994). I argue here that this is mistaken. The debate over adaptationism has tended to focus on one particular use of optimality models, which I refer to here as their strong use. The strong use of an optimality model involves the claim that selection is the only important influence on the evolutionary outcome in question and is thus linked to adaptationism. However, biologists seldom intend this strong use of optimality models. One common alternative that I term the weak use simply involves the claim that an optimality model accurately represents the role of selection in bringing about the outcome. This and other weaker uses of optimality models insulate the optimality approach from criticisms of adaptationism, and they account for the prominence of optimality modeling (broadly construed) in population biology. The centrality of these uses of optimality models ensures a continuing role for the optimality approach, regardless of the fate of adaptationism.

Evolution of searching and life history characteristics in individual-based models of host-parasitoid-microbe associations

In this paper we develop a novel discrete, individual-based mathematical model of the evolution of life history, dispersal and other behavioural characteristics in insect host-parasitoid-microbe associations, and use it to investigate their evolutionary dynamics. For any individual characteristic the model begins with an even, rectangular distribution of characteristic values. Selection is then allowed to act, and the change in the distribution of the characteristic values is observed. Evolutionary change in the population variance of the characteristic value is also observed, since we would expect this to decline under selection in most cases. The paper, therefore, introduces a general framework for modeling problems of evolution in stochastic, spatially structured environments, where movement and dispersal are under selection. The model then extends this approach to include the sex-distorting bacterium Wolbachia in order to investigate aspects of its horizontal and vertical transmission under different levels of superparasitism by parasitoids. The model also includes a neutral genetic marker, in order to be able to detect changes in phenotype frequency caused by genetic drift, as well as a simplified simulation of sexual reproduction so as to allow the possibility of recombination between genotypes. Key results from the model simulations show that: (i) the refractory time after oviposition affects the value of superparasitism, with short refractory times favouring high rates of superparasitism; (ii) variable levels of superparasitism do not affect the stable proportion of the population of parasitoids infected with Wolbachia, but this is achieved by different evolutionary pathways under low and high superparasitism, respectively. In the case of low superparasitism Wolbachia spreads mainly by vertical transmission, leading to population replacement, whereas when superparasitism rates are high there is significant horizontal transfer.     

"X-ray vision" and the evolution of forward-facing eyes

Why do our eyes face forward, and why do many mammals have eyes facing sideways? Here, we describe results suggesting that the degree of binocular convergence is selected to maximize how much the mammal can see in its environment. Mammals in non-cluttered environments can see the most around them with panoramic, laterally directed eyes. Mammals in cluttered environments, however, can see best when their eyes face forward, for binocularity has the power of "seeing through" clutter out in the world. Evidence across mammals closely fits the predictions of this "X-ray" hypothesis.     

Phenological resonance and quantum life history

The principle of 'quantum life history' is proposed here as a complementary viewpoint to current modeling of body size and life history evolution which usually considers a 'fast-slow continuum' of covarying life history traits. This principle emphasizes the discrete (and primary) nature of development time caused by the effect of phenological resonance (the compliance of development time with periodicities of earth rotation). The body mass, in turn, complies with development time, which generates body mass attractors. This principle is illustrated with mammals as exemplary group. The adaptive radiation of Cenozoic mammals is supposed to proceed as a competition-driven diversification of body sizes and development times around the strongest (year-long) resonant mode of development time corresponding to body mass of about 1 kg. Mammals with this body mass are shown here to have a largest genome size and a lowest (body mass-corrected) basal metabolic rate. This extends the previously reported negative relation between genome size and metabolic rate to the realm of nonlinearity, and suggests that selection against the accumulation of non-coding DNA in the genome is relaxed in mammals with this body mass.     

High-throughput analysis of growth differences among phage strains

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.     

Longevity and life history in hominid evolution

Under the assumption that life history in general and longevity in particular play an important part in the study of evolutionary patterns and processes, this paper focuses on predicting longevity changes across hominid evolution and attempts to throw light on the significance of such changes. We also consider some statistical arguments in the analysis of hominid life history patterns. Multiple regression techniques incorporating primate body weight and brain size data are used to predict hominied longevity and the results are compared to those in the literature. Our findings suggest that changes in hominid longevity are more likely to follow brain size than body weight, and that multiple regression techniques may be an appropriate avenue for future studies on life history variation in human evolution.     

Coevolution of parasite virulence and host life history

Most models about the evolutionary interactions between a parasite's virulence and its host's life history neglect two potentially important aspects: epidemiological and coevolutionary feedback. We emphasize their importance by presenting models that describe the coevolution of a semelparous host's age at reproduction and a parasite's virulence in different environmental conditions. In particular, we first show that an epidemiological feedback will lead to a nonmonotonic response of the host's age at reproduction as virulence increases. We then show that the coevolutionary pressure on virulence can lead to complex associations between the host's life history and the parasite's virulence, which would not be expected with more traditional models of host or parasite evolution. Thus, for example, a high mortality rate of the host favours avirulent parasites and late reproduction of the host when the environmental conditions allow the host to grow rapidly, but early reproduction and high virulence when growth is slow.     

Behavioural evolution in the cabbage butterfly (Pieris rapae)

Summary Australian and U.K. Pieris rapae differ markedly in their oviposition behaviour; U.K. females produce a more aggregated egg distribution, and lay their eggs more quickly, than do Australian females. The adaptive reason for this divergence probably lies in the relative costs of increased flight time (more costly in the U.K.) and increased local crowding (more costly in Australia). There is also a strong relationship between juvenile developmental rate (at constant temperature) and oviposition behaviour, but the form of this relationship differed between the two populations. The adaptive reasons for the link between developmental rate and behaviour is not clear. It may be that this link represents the tip of the iceberg; i.e. that physiological, developmental, and behabioral characters all co-vary in ways and for reasons that we do not yet understand.     

Cryo-EM structure of a bacteriophage T4 gp24 bypass mutant: the evolution of pentameric vertex proteins in icosahedral viruses

Many large viral capsids require special pentameric proteins at their fivefold vertices. Nevertheless, deletion of the special vertex protein gene product 24 (gp24) in bacteriophage T4 can be compensated by mutations in the homologous major capsid protein gp23. The structure of such a mutant virus, determined by cryo-electron microscopy to 26 angstroms, shows that the gp24 pentamers are replaced by mutant major capsid protein (gp23) pentamers at the vertices, thus re-creating a viral capsid prior to the evolution of specialized major capsid proteins and vertex proteins. The mutant gp23* pentamer is structurally similar to the wild-type gp24* pentamer but the insertion domain is slightly more distant from the gp23* pentamer center. There are additional SOC molecules around the gp23* pentamers in the mutant virus that were not present around the gp24* pentamers in the wild-type virus.     

Genetic reassortment of infectious bursal disease virus in nature

Infectious bursal disease virus (IBDV), a double-stranded RNA virus, is a member of the Birnaviridae family. Four pathotypes of IBDV, attenuated, virulent, antigenic variant, and very virulent (vvIBDV), have been identified. We isolated and characterized the genomic reassortant IBDV strain ZJ2000 from severe field outbreaks in commercial flocks. Full-length genomic sequence analysis showed that ZJ2000 is a natural genetic reassortant virus with segments A and B derived from attenuated and very virulent strains of IBDV, respectively. ZJ2000 exhibited delayed replication kinetics as compared to attenuated strains. However, ZJ2000 was pathogenic to specific pathogen free (SPF) chickens and chicken embryos. Similar to a standard virulent IBDV strain, ZJ2000 caused 26.7% mortality, 100% morbidity, and severe bursal lesions at both gross and histopathological levels. Taken together, our data provide direct evidence for genetic reassortment of IBDV in nature, which may play an important role in the evolution, virulence, and host range of IBDV. Our data also suggest that VP2 is not the sole determinant of IBDV virulence, and that the RNA-dependent RNA polymerase protein, VP1, may play an important role in IBDV virulence. The discovery of reassortant viruses in nature suggests an additional risk of using live IBDV vaccines, which could act as genetic donors for genome reassortment.     

The origin of prokaryotic life and molecular evolution

The origin of prokaryotic life is discussed with an emphasis on the self-assembly of early life in a microscale environment where ordered cellular structures and integrated functions evolved from disorder. Early molecular evolution may have been due to both molecular chaos and evolving molecular order.     

Congruence between phylogenetic and stratigraphic data on the history of life

The quality of the fossil record and the accuracy of reconstructed phylogenies have been debated recently, and doubt has been cast on how far current knowledge actually reflects what happened in the past. A survey of 384 published cladograms of a variety of animals (echinoderms, fishes, tetrapods) shows that there is good agreement between phylogenetic (character) data and stratigraphic (age) data, based on a variety of comparative metrics. This congruence of conclusions from two essentially independent sources of data confirms that the majority of cladograms are broadly accurate and that the fossil record, incomplete as it is, gives a reasonably faithful documentation of the sequence of occurrence of organisms through time.     

Hoc protein regulates the biological effects of T4 phage in mammals

We previously investigated the biological, non-antibacterial effects of bacteriophage T4 in mammals (binding to cancer cells in vitro and attenuating tumour growth and metastases in vivo); we selected the phage mutant HAP1 that was significantly more effective than T4. In this study we describe a non-sense mutation in the hoc gene that differentiates bacteriophage HAP1 and its parental strain T4. We found no substantial effects of the mutation on the mutant morphology, and its effects on electrophoretic mobility and hydrodynamic size were moderate. Only the high ionic strength of the environment resulted in a size difference of about 10 nm between T4 and HAP1. We compared the antimetastatic activity of the T2 phage, which does not express protein Hoc, with those of T4 and HAP1 (B16 melanoma lung colonies). We found that HAP1 and T2 decreased metastases with equal effect, more strongly than did T4. We also investigated concentrations of T4 and HAP1 in the murine blood, tumour (B16), spleen, liver, or muscle. We found that HAP1 was rapidly cleared from the organism, most probably by the liver. Although HAP1 was previously defined to bind cancer cells more effectively (than T4), its rapid elimination precluded its higher concentration in tumours. Maria Zembala and Janusz Boratynski contributed equally to this work.     

Artificial evolution of life history and behavior

We present an individual-based model that uses artificial evolution to predict fit behavior and life-history traits on the basis of environmental data and organism physiology. Our main purpose is to investigate whether artificial evolution is a suitable tool for studying life history and behavior of real biological organisms. The evolutionary adaptation is founded on a genetic algorithm that searches for improved solutions to the traits under scrutiny. From the genetic algorithm's genetic code, behavior is determined using an artificial neural network. The marine planktivorous fish Müller's pearlside (Maurolicus muelleri) is used as the model organism because of the broad knowledge of its behavior and life history, by which the model's performance is evaluated. The model adapts three traits: habitat choice, energy allocation, and spawning strategy. We present one simulation with, and one without, stochastic juvenile survival. Spawning pattern, longevity, and energy allocation are the life-history traits most affected by stochastic juvenile survival. Predicted behavior is in good agreement with field observations and with previous modeling results, validating the usefulness of the presented model in particular and artificial evolution in ecological modeling in general. The advantages, possibilities, and limitations of this modeling approach are further discussed.     

REVIEW: Optimality models in the age of experimental evolution and genomics

Optimality models have been used to predict evolution of many properties of organisms. They typically neglect genetic details, whether by necessity or design. This omission is a common source of criticism, and although this limitation of optimality is widely acknowledged, it has mostly been defended rather than evaluated for its impact. Experimental adaptation of model organisms provides a new arena for testing optimality models and for simultaneously integrating genetics. First, an experimental context with a well‐researched organism allows dissection of the evolutionary process to identify causes of model failure – whether the model is wrong about genetics or selection. Second, optimality models provide a meaningful context for the process and mechanics of evolution, and thus may be used to elicit realistic genetic bases of adaptation – an especially useful augmentation to well‐researched genetic systems. A few studies of microbes have begun to pioneer this new direction. Incompatibility between the assumed and actual genetics has been demonstrated to be the cause of model failure in some cases. More interestingly, evolution at the phenotypic level has sometimes matched prediction even though the adaptive mutations defy mechanisms established by decades of classic genetic studies. Integration of experimental evolutionary tests with genetics heralds a new wave for optimality models and their extensions that does not merely emphasize the forces driving evolution.     

Phylogeny and evolution of life history strategies of the parasitic barnacles (Crustacea, Cirripedia, Rhizocephala)

The barnacles (Crustacea, Cirripedia) consist of three well-defined orders: the conventional filter-feeding barnacles (Thoracica), the burrowing barnacles (Acrothoracica), and the parasitic barnacles (Rhizocephala). Thoracica and Acrothoracica feed by catching food particles from the surrounding seawater using their thoracic appendages while members of Rhizocephala are exclusively parasitic. The parasite consists of a sac-shaped, external reproductive organ situated on the abdomen of its crustacean host and a nutrient-absorbing root system embedded into the heamolymph of the host. In order to resolve the phylogenetic relationship of the order Rhizocephala and elucidate the evolution of the different life history strategies found within the Rhizocephala, we have performed the first comprehensive phylogenetic analysis of the group. Our results indicate that Rhizocephala is monophyletic with a filter-feeding barnacle-like ancestor. The host-infective stage, the kentrogon larva, inserted in the lifecycle of the rhizocephalan suborder, Kentrogonida, is shown to be ancestral and most likely a homologue of the juvenile stage of a conventional thoracican barnacle. The mode of host inoculation found in the suborder Akentrogonida, where the last pelagic larval stage directly injects the parasitic material into the heamolymph of the host is derived, and has evolved only once within the Rhizocephala. Lastly, our results show that the ancestral host for extant rhizocephalans appears to be the anomuran crustaceans (Anomura), which includes hermit crabs and squat lobsters.     

Maynard Smith,optimization, and evolution

Maynard Smith’s defenses of adaptationism and of the value of optimization theory in evolutionary biology are both criticized. His defense does not adequately respond to the criticism of adaptationism by Gould and Lewontin. It is also argued here that natural selection cannot be interpreted as an optimization process if the objective function to be optimized is either (i) interpretable as a fitness, or (ii) correlated with the mean population fitness. This result holds even if fitnesses are frequency-independent; the problem is further exacerbated in the frequency-dependent context modeled by evolutionary game theory. However, Eshel and Feldman’s new results on “long-term” evolution may provide some hope for the continuing relevance of the game-theoretic framework. These arguments also demonstrate the irrelevance of attempts by Intelligent Design creationists to use computational limits on optimization algorithms as evidence against evolutionary theory. It is pointed out that adaptation, natural selection, and optimization are not equivalent processes in the context of biological evolution. It is a pleasure to dedicate this paper to the memory of John Maynard Smith. Thanks are due to James Justus and Samir Okasha for comments on an earlier draft.