Biology subjects

Bull, J. J.

Publications and source records attributed to Bull, J. J..

16 recordsLinked to original sources

bioRxiv2026

The tobacco hornworm as a novel host for the study of bacterial virulence

The tobacco hornworm moth (Manduca sexta) is evaluated as a model of bacterial virulence and host-pathogen dynamics. Infections of Pseudomonas aeruginosa were established by injection of 5th-instar larvae, and multiple assays of virulence were evaluated. Infected larvae exhibited dose-dependent mortality, reduced growth, melanization, behavioral changes, and altered frass constitution. Even low-dose infections that were not fatal exhibited impaired growth, but individual growth trajectories revealed considerable heterogeneity among worms given the same dose. Twice-daily antibiotic treatment with gentamicin or cefepime improved survival four- to five-fold but did not rescue 100%. Heat-killed cells and filtered culture supernatant alone induced significant morbidity and mortality, suggesting secreted bacterial products are important to pathogenesis. Bacterial burden analysis revealed a shifting bacterial distribution over time, with decreasing hemolymph titers and increasing localization in fat body, gut, and carcass. Hornworms thus offer a more sensitive analysis of bacterial infection dynamics and consequences than do larvae of the more commonly used wax moth.

microbiology↗

bioRxiv2025

Modeling the phage properties best for therapy

The phages used to treat bacterial infections in phage therapy are commonly chosen based on their abilities to form plaques on the infecting bacterium - on host range. In practice, phage therapy is not always successful, leaving room for improvement. Here we use computational models to investigate whether some standard phage properties (burst size, lysis, adsorption, decay rate, growth rate) might serve as predictors of treatment success. As our measure of treatment success, we deviate from many other approaches by calculating the number of phage needed to suppress bacterial densities 100-fold in the short term, given that the patients immune system is expected to regain control once bacterial numbers are reduced. Numerical analysis of 2400 combinations of different values of phage phenotypes reveals that, on average, adsorption rate and growth rate provide the most useful predictive values, decay rate provides some value, whereas burst size and lysis time offer essentially little or no value. Bacterial density is especially informative of the number of phage required for treatment. There is nonetheless often considerable variation around average behavior for a single phenotype. These results raise the possibility that adsorption rate and growth rate may be especially important in phage therapy performance for both high and low bacterial densities. Given that therapeutic phages are often evolved in vitro for broad host ranges rather than for individual hosts, it should be considered that selection for broad host range may have a downside of compromising adsorption to and growth rate on individual bacterial hosts.

microbiology↗

bioRxiv2025

Density dependence affects population recovery following an epidemic

Current epidemiological models for the regulation of host populations by pathogens suggest that the reduction in the host population is largest shortly after the epidemic phase and that the host population partly recovers in the subsequent approach to endemicity. We find that this conventional view is not robust to a simple, biologically motivated addition: density-dependent population regulation (homeostasis). While rapid homeostasis typically enables a population rebound after the initial population suppression (the conventional view), we show that weak homeostasis can result in the opposite --- greater population suppression during the endemic phase compared to the initial epidemic. The effect of homeostasis, which is a property of the host population, can be substantial. This finding complicates the prediction of long term outcomes of population suppression by pathogens but not of short term outcomes.

ecology↗

bioRxiv2025

Short and long term suppression of host populations by novel pathogens

Current theory for the regulation of host populations by pathogens suggests that a high level of suppression during the initial epidemic phase will be followed by a population rebound with decreased virulence due to pathogen and host evolution, and the extent of host suppression increases with increasing pathogen transmissibility (R0) and virulence. Using simple epidemiological models, we explore the effect of two factors on short- and long-term suppression: the strength of density-dependent population regulation (homeostasis) and maternal antibodies. We showed previously that, in the absence of maternal antibodies, the strength of homeostasis can greatly effect long term population suppression. Here we find that maternal antibodies can significantly reduce suppression of the host population if they attenuate rather than block infections, but then only for rapid homeostasis. A higher R0 can result in lower suppression, and the average virulence can decline over time without any (genetic) evolution. Our results suggest the need for a nuanced view of long-term suppression by a new pathogen, with the outcome sensitive to many details even in the absence of evolution.

ecology↗

bioRxiv2024

Waning immunity drives respiratory virus evolution and reinfection

Reinfections with respiratory viruses such as influenza viruses and coronaviruses are thought to be driven by ongoing antigenic immune escape in the viral population. However, this does not explain why antigenic variation is frequently observed in these viruses relative to viruses such as measles that undergo systemic replication. Here, we suggest that the rapid rate of waning immunity in the respiratory tract is the key driver of antigenic evolution in respiratory viruses. Waning immunity results in hosts with immunity levels that protect against homologous reinfection but are insufficient to protect against infection with a heterologous, antigenically different strain. As such, when partially immune hosts are present at a high enough density, an immune escape variant can invade the viral population even though that variant cannot infect fully immune hosts. Invasion can occur even when the variants immune escape mutation incurs a fitness cost, and we expect the expanding mutant population will evolve compensatory mutations that mitigate this cost. Thus the mutant lineage should replace the wild-type, and as immunity to it builds, the process will repeat. Our model provides a new explanation for the pattern of successive emergence and replacement of antigenic variants that has been observed in many respiratory viruses. We discuss our model relative to others for understanding the drivers of antigenic evolution in these and other respiratory viruses.

evolutionary biology↗

bioRxiv2022

Modeling the directed evolution of broad host range phages

BackgroundThe host ranges of individual phages tend to be narrow, yet many applications of phages would benefit from expanded host ranges. Empirical methods have been developed to direct the evolution of phages to attack new strains, but the methods have not been evaluated or compared for their consequences. In particular, how do different methods favor generalist (broad host range) phages over specialist phages? All methods involve exposing phages to two or more novel bacterial strains, but the methods differ in the order in which those hosts are presented through time: Parallel presentation, Sequential presentation, and Mixed presentation. MethodsWe use a combination of simple analytical methods and numerical analyses to study the effect of these different protocols on the selection of generalist versus specialist phages. ResultsThe three presentation protocols have profoundly different consequences for the evolution of generalist versus specialist phages. Sequential presentation favors generalist almost to the exclusion of specialists, whereas Parallel presentation does the least so. However, other protocol attributes (e.g. the nature of dilution between transfers of phages to new cultures) also have effects on selection and phage maintenance. It is also noted that protocols can be designed to enhance recombination to augment evolution and to reduce stochastic loss of newly-arisen mutants.

evolutionary biology↗

bioRxiv2022

Interpreting and de-noising genetically engineered barcodes in a DNA virus

The concept of a nucleic acid barcode applied to pathogen genomes is easy to grasp and the many possible uses are straightforward. But implementation may not be easy, especially when growing through multiple generations or assaying the pathogen long-term. The potential problems include: the barcode might alter fitness, the barcode may accumulate mutations, and construction of the marked pathogens may result in unintended barcodes that are not as designed. Here, we generate approximately 5000 randomized barcodes in the genome of the prototypic small DNA virus murine polyomavirus. We describe the challenges faced with interpreting the barcode sequences obtained from the library. Our Illumina NextSeq sequencing recalled much greater variation in barcode sequencing reads than the expected 5000 barcodes - necessarily stemming from the Illumina library processing and sequencing error. Using data from defined control virus genomes cloned into plasmid backbones we develop a vetted post-sequencing method to cluster the erroneous reads around the true virus genome barcodes. These findings may foreshadow problems with randomized barcodes in other microbial systems and provide a useful approach for future work utilizing nucleic acid barcoded pathogens.

microbiology↗

bioRxiv2021

Gene drive escape from resistance depends on mechanism and ecology

Gene drives can potentially be used to suppress pest populations, and the advent of CRISPR technology has made it feasible to engineer them in many species, especially insects. What remains largely unknown for implementations is whether anti-drive resistance will evolve to block the population suppression. An especially serious threat to some kinds of drive is mutations in the CRISPR cleavage sequence that block the action of CRISPR, but designs have been proposed to avoid this type of resistance. Various types of resistance at loci away from the cleavage site remain a possibility, which is the focus here. It is known that modest-effect suppression drives can essentially outrun unlinked resistance even when that resistance is present from the start. We demonstrate here how the risk of evolving (unlinked) resistance can be further reduced without compromising overall suppression by introducing multiple suppression drives or by designing drives with specific ecological effects. However, we show that even modest-effect suppression drives remain vulnerable to the evolution of extreme levels of inbreeding, which halt the spread of the drive without actually interfering with its mechanism. The landscape of resistance evolution against suppression drives is therefore complex, but avenues exist for enhancing gene drive success.

evolutionary biology↗

bioRxiv2020

Evading evolution of resistance to gene drives

Gene drives offer the possibility of altering and even suppressing wild populations of countless plant and animal species, and CRISPR technology now provides the technical feasibility of engineering them. However, population-suppression gene drives are prone to select resistance, should it arise. Here we develop mathematical and computational models to identify conditions under which suppression drives will evade resistance, even if resistance is present initially. Previous models assumed resistance is allelic to the drive. We relax this assumption and show that linkage between the resistance and drive loci is critical to the evolution of resistance and that evolution of resistance requires (negative) linkage disequilibrium between the two loci. When the two loci are unlinked or only partially so, a suppression drive that causes limited inviability can evolve to fixation while causing only a minor increase in resistance frequency. Once fixed, the drive allele no longer selects resistance. Our analyses suggest that among gene drives that cause moderate suppression, toxin-antidote systems are less apt to select for resistance than homing drives. Single drives of moderate effect might cause only moderate population suppression, but multiple drives (perhaps delivered sequentially) would allow arbitrary levels of suppression. The most favorable case for evolution of resistance appears to be with suppression homing drives in which resistance is dominant and fully suppresses transmission distortion; partial suppression by resistance heterozygotes or recessive resistance are less prone to resistance evolution. Given that it is now possible to engineer CRISPR-based gene drives capable of circumventing allelic resistance, this design may allow for the engineering of suppression gene drives that are effectively resistance-proof.

evolutionary biology↗

bioRxiv2020

Vector dynamics influence spatially imperfect genetic interventions against disease

Background and objectivesGenetic engineering and similar technologies offer promising new approaches to controlling human diseases by blocking transmission from vectors. However, in spatially structured populations, imperfect coverage of the vector will leave pockets in which the parasite can persist. Yet movement by humans may disrupt this local persistence and facilitate eradication when these pockets are small, essentially distributing parasite reproduction out of unprotected areas and into areas that block its reproduction. MethodologyWe develop formal mathematical models of this process similar to standard Ross-Macdonald models, but (i) specifying spatial structure of two patches, with transmission blocked in one patch but not in the other, (ii) allowing temporary human movement (travel instead of migration), and (iii) considering two different modes of mosquito biting. ResultsWe find that there is no invariant effect of disrupting spatial structure with travel. For both biting models, travel out of the unprotected patch has different consequences than travel by visitors into the patch, but the effects are reversed between the two biting models. Conclusions and implicationsOverall, the effect of human travel on the maintenance of vector-borne diseases in structured habitats must be considered in light of the actual biology of mosquito abundances and biting dynamics. Lay summaryGenetic interventions against pathogens transmitted by insect vectors are promising methods of controlling infectious diseases. These interventions may be imperfect, leaving pockets where the parasite persists. How will human movement between protected and unprotected areas affect persistence? Mathematical models developed here show that the answer is ecology-dependent, depending on vector biting behavior.

ecology↗

bioRxiv2020

Using directed attenuation to enhance vaccine immunity

Many viral infections can be prevented by immunizing with live, attenuated vaccines. Early methods of attenuation were hit-and-miss, and these are now much improved by genetic engineering. But even current attenuation methods operate on the principle of genetic harm, reducing the viruss ability to grow, which in turn limits the host immune response below that of infection by wild-type. We use mathematical models of the dynamics of virus and its control by innate and adaptive immunity to explore the tradeoff between attenuation of virus growth and the generation of immunity. Our analysis suggests that directed attenuation that disables key viral defenses against the host immune responses may attenuate viral growth without compromising, and potentially even enhancing the generation of immunity. We explore which immune evasion pathways should be attenuated and how attenuating multiple pathways could lead to robust attenuation of pathology with enhancement of immunity. Author summaryLive attenuated virus vaccines are among the most effective interventions to combat viral infections. Historically, the mechanism of attenuation has been one of genetically reduced viral growth rate, often achieved by adapting the virus to grow in a novel cells. More recent attenuation methods use genetic engineering but also are thought to impair viral growth rate. These classical attenuations typically result in a tradeoff whereby attenuation depresses the within-host viral load and pathology (which is beneficial to vaccine design), but reduces immunity (which is not beneficial). We use models to explore ways of directing the attenuation of a virus to avoid this tradeoff. We show that directed attenuation by interfering with (some) viral immune-evasion pathways can yield a mild infection but elicit higher levels of immunity than of the wild-type virus.

immunology↗

bioRxiv2019

Promises and pitfalls of in vivo evolution to improve phage therapy

(Background) Phage therapy is the use of bacterial viruses (phages) to treat bacterial infections. Phages lack the broad host ranges of antibiotics, so individual phages are often used with no prior history of use in treatment. Therapeutic phages are thus often chosen based on limited criteria, sometimes merely an ability to plate on the pathogenic bacterium. It is possible that better treatment outcomes might be obtained from an informed choice of phages. Here we consider whether phages used to treat the bacterial infection in a patient might specifically evolve to improve treatment. Phages recovered from the patient could then serve as a source of improved phages or cocktails for use on subsequent patients. (Methods) With the aid of mathematical and computational models, we explore this possibility for four phage properties expected to promote therapeutic success: in vivo growth, phage decay rate, overcoming resistant bacteria, and enzyme activity to degrade protective bacterial layers. (Results) Phage evolution only sometimes works in favor of treatment, and even in those cases, intrinsic phage dynamics in the patient are usually not ideal. An informed use of phages is invariably superior to reliance on within-host evolution and dynamics, although the extent of this benefit varies with the application.

microbiology↗

bioRxiv2019

Spatial structure undermines parasite suppression by gene drive cargo

Gene drives may be used in two ways to curtail vectored diseases. Both involve engineering the drive to spread in the vector population. One approach uses the drive to directly depress vector numbers, possibly to extinction. The other approach leaves intact the vector population but suppresses the disease agent during its interaction with the vector. This second application may use a drive engineered to carry a genetic cargo that blocks the disease agent. An advantage of the second application is that it is far less likely to select vector resistance to block the drive, but the disease agent may instead evolve resistance to the inhibitory cargo. However, some gene drives are expected to spread so fast and attain such high coverage in the vector population that, if the disease agent can evolve resistance only gradually, disease eradication may be feasible. Here we use simple models to show that spatial structure in the vector population can greatly facilitate persistence and evolution of resistance by the disease agent. We suggest simple approaches to avoid some types of spatial structure, but others may be intrinsic to the populations being challenged and difficult to overcome.

evolutionary biology↗

bioRxiv2019

Gene-drive-mediated extinction is thwarted by evolution of sib mating

Genetic engineering combined with CRISPR technology has developed to the point that gene drives can, in theory, be engineered to cause extinction in countless species. Success of extinction programs now rests on the possibility of resistance evolution, which is largely unknown. For CRISPR technology, resistance may take many forms, from mutations in the nuclease target sequence to specific types of non-random population structures that limit the drive. We develop mathematical models of various deviations from random mating to consider escapes from extinction-causing gene drives. We use a version of Maynard Smiths haystack model to show that population structure can enable drive-free subpopulations to be maintained against gene drives. Our main emphasis, however, is sib mating in the face of recessive-lethal and Y-chromosome drives. Sib mating easily evolves in response to both kinds of gene drives and maintains mean fitness above 0, with equilibrium fitness depending on the level of inbreeding depression. Environmental determination of sib mating (as might stem from population density crashes) can also maintain mean fitness above 0. Translation of mean fitness into population size depends on ecological details, so understanding mean fitness evolution and dynamics is merely the first step in predicting extinction. Nonetheless, these results point to possible escapes from gene drive-mediated extinctions that lie beyond the control of genome engineering.

evolutionary biology↗

bioRxiv2019

Recombinant vector vaccines and within-host evolution

Many recombinant vector vaccines are capable of replication within the host. They consist of a fully competent vector backbone engineered to express an antigen from a foreign transgene. From the perspective of viral replication, the transgene is not only dispensable but may even be intrinsically detrimental. Thus vaccine revertants that delete the transgene may evolve to dominate the within-host population and in doing so reduce the antigenicity of the vaccine. We apply mathematical and computational models to study this process, including the dynamics of vaccine and revertant growth plus the dynamics of innate and adaptive immunity. Although the selective basis of vaccine evolution is easy to comprehend, the immunological consequences are not. One complication is that, despite possible fitness differences between vaccine and revertant, the opportunity for vaccine evolution is limited by the short period of growth before the viral population is cleared. Even less obvious, revertant per se does not interfere with immunity to vaccine except as the revertant suppresses vaccine abundance; the magnitude of this interference depends on mechanisms and timing of viral suppression. Adaptive immunity targeting the foreign antigen is also a possible basis of vaccine inferiority, but it is not worsened by vaccine evolution. Overall, we find that within-host vaccine evolution can sometimes matter to the adaptive immune response targeting the foreign antigen, but even when it does matter, simple principles of vaccine design and the control of inoculum composition can largely mitigate the effects. Author SummaryRecombinant vector vaccines are live replicating viruses that are engineered to carry extra genes derived from a pathogen - and these produce proteins against which we want to generate immunity. These genes may evolve to be lost during the course of replication within an individual, and there is a concern that this can severely limit the vaccines efficacy. The dynamics of this process are studied here with mathematical models. The potential for vaccine evolution is somewhat reduced by the short-term growth of the vaccine population before it is suppressed by the immune response. Even when within-host evolution can be a problem, the models show that increasing the vaccine inoculum size or ensuring that the inoculum is mostly pure vaccine can largely avoid the loss of immunity arising from evolution.

evolutionary biology↗

bioRxiv2017

Reduced protein expression in a virus attenuated by codon deoptimization

The engineering of hundreds of synonymous codon changes into a viral genome appears to provide a general means of achieving attenuation. The mechanistic underpinnings of this approach remain enignmatic, however. Using quantitative proteomics and RNA sequencing, we explore the molecular basis of attenuation in a strain of bacteriophage T7 whose major capsid gene was engineered to carry 182 suboptimal codons. As expected, there was no evident effect of the recoding on transcription. Proteomic observations revealed that translation is halved for the recoded major capsid gene, and a smaller reduction applies to a few genes downstream, potentially caused by translational coupling. Viral burst size is also approximately halved, and the fitness drop accompanying attenuation is compatible with the reduced burst size. Overall, the fitness effect and molecular basis of attenuation by codon deoptimization are compatible with a relatively simple model of reduced translation of a few genes and a consequent diminished virion assembly. This mechanism is simpler than that operating in eukaryotic viruses.

systems biology↗