Biology subjects

Wichman, H. A.

Publications and source records attributed to Wichman, H. A..

7 recordsLinked to original sources

bioRxiv2025

{Phi}X174 bacteriophage viability predicted by protein biophysical modeling

The relationship between genotype and phenotype underlies our ability to understand and predict evolution. Efforts to build genotype-phenotype (GP) maps have revealed several unifying rules: epistasis is pervasive, fitness effects are not normally distributed, and the GP map is non-linear and complicated for high-level phenotypes. A critical step in developing GP maps is evaluating how well predictive models do in explaining observed phenotypes. We utilize the simplicity of a bacteriophage ({Phi}X174) study system to test if an intermediate phenotype (predicted stability of the G capsid protein) explains more complex phenotypes. In doing so, we compare the predictive performance of free energies of folding and binding obtained using numerous molecular modeling methods as well as phylogenetic and basic biochemical/biophysical properties of amino acid substitutions. By creating a large mutational library, we find that {Phi}X174 tolerates about 50% of the amino acid substitutions we inserted into the G protein and that molecular modeling compliments other substitution models for predicting viability. Mutations predicted to have large destabilizing effects are especially informative and are almost universally detrimental. These large-effect substitutions often coincide with the most conserved residues in the G protein. Apart from large-effect mutations, our ability to predict {Phi}X174 phenotypes is fairly poor and we explore various potential confounding factors (e.g., codon bias) that could be considered to improve viability predictions.

molecular biology↗

bioRxiv2024

Directed evolution of bacteriophages: impacts of prolific prophage

Various directed evolution methods exist that seek to procure bacteriophages with expanded host ranges, typically targeting phage-resistant or non-permissive bacterial hosts. The general premise of these methods is to propagate phage on multiple bacterial hosts, pool the lysate, and repeat the propagation process until phage(s) can form plaques on the target host(s). In theory, this propagation process produces a phage lysate that contains input phages and their evolved phage progeny. However, in practice, this phage lysate can also include prophages originating from bacterial hosts. Here we describe our experience implementing one directed evolution method, the Appelmans protocol, to study phage evolution in the Pseudomonas aeruginosa phage-host system, in which we observed rapid host-range expansion of the phage cocktail. Further experimentation and sequencing analysis revealed that this observed host-range expansion was due to a Casadabanvirus prophage that originated from one of the Appelmans hosts. Host-range analysis of the prophage showed that it could infect five of eight bacterial hosts initially used, allowing it to proliferate and persist through the end of the experiment. This prophage was represented in half of the sequenced phage samples isolated from the Appelmans experiment. This work highlights the impact of prophages in directed evolution experiments and the importance of incorporating sequencing data in analyses to verify output phages, particularly for those attempting to procure phages intended for phage therapy applications. This study also notes the usefulness of intraspecies antagonism assays between bacterial host strains to establish a baseline for inhibitory activity and determine presence of prophage. IMPORTANCEDirected evolution is a common strategy for evolving phages to expand host range, often targeting pathogenic strains of bacteria. In this study we investigated phage host-range expansion using directed evolution in the Pseudomonas aeruginosa system. We show that prophage are active players in directed evolution and can contribute to observation of host-range expansion. Since prophage are prevalent in bacterial hosts, particularly pathogenic strains of bacteria, and all directed evolution approaches involve iteratively propagating phage on one or more bacterial hosts, the presence of prophage in phage preparations is a factor that needs to be considered in experimental design and interpretation of results. These results highlight the importance of screening for prophages either genetically or through intraspecies antagonism assays during selection of bacterial strains and will contribute to improving experimental design of future directed evolution studies.

microbiology↗

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↗

bioRxiv2020

{Phi}X174 Attenuation by Whole Genome Codon Deoptimization

Natural selection acting on synonymous mutations in protein-coding genes influences genome composition and evolution. In viruses, introducing synonymous mutations in genes encoding structural proteins can drastically reduce viral growth, providing a means to generate potent, live attenuated vaccine candidates. However, an improved understanding of what compositional features are under selection and how combinations of synonymous mutations affect viral growth is needed to predictably attenuate viruses and make them resistant to reversion. We systematically recoded all non-overlapping genes of the bacteriophage {Phi}X174 with codons rarely used in its E. coli host. The fitness of recombinant viruses decreases as additional deoptimizing mutations are made to the genome, although not always linearly, and not consistently across genes. Combining deoptimizing mutations may reduce viral fitness more or less than expected from the effect size of the constituent mutations and we point out difficulties in untangling correlated compositional features. We test our model by optimizing the same genes and find that the relationship between codon usage and fitness does not hold for optimization, suggesting that wild-type {Phi}X174 is at a fitness optimum. This work highlights the need to better understand how selection acts on patterns of synonymous codon usage across the genome and provides a convenient system to investigate the genetic determinants of virulence.

genomics↗

bioRxiv2019

Saturation mutagenesis genome engineering of infective {Phi}X174 bacteriophage via unamplified oligo pools and golden gate assembly

Here we present a novel protocol for the construction of saturation single-site--and massive multi-site--mutant libraries of a bacteriophage. We segmented the {Phi}X174 genome into 14 non-toxic and non-replicative fragments compatible with golden gate assembly. We next used nicking mutagenesis with oligonucleotides prepared from unamplified oligo pools with individual segments as templates to prepare near-comprehensive single-site mutagenesis libraries of genes encoding the F capsid protein (421 amino acids scanned) and G spike protein (172 amino acids scanned). Libraries possessed greater than 99% of all 11,860 programmed mutations. Golden Gate cloning was then used to assemble the complete {Phi}X174 mutant genome and generate libraries of infective viruses. This protocol will enable reverse genetics experiments for studying viral evolution and, with some modifications, can be applied for engineering of therapeutically relevant bacteriophages with larger genomes.

genomics↗

bioRxiv2018

Tracing the History of LINE and SINE Extinction in Sigmodontine Rodents

BackgroundL1 retrotransposons have co-evolved with their mammalian hosts for the entire history of mammals and currently make up to 20% of a typical mammalian genome. B1 retrotransposons are dependent on L1 for retrotransposition and span the evolutionary history of rodents since their radiation. L1s were found to have lost their activity in a group of South American rodents, the Sigmodontinae, and B1 inactivation preceded the extinction of L1 in the same group. Consequently, a basal group of sigmodontines have active L1s but inactive B1s and a derived clade have both inactive L1s and B1s. It has been suggested that B1s became extinct during a long period of L1 quiescence and that L1s subsequently reemerged in the basal group.\n\nResultsHere we investigate the evolutionary histories of L1 and B1 in the sigmodontine rodents and show that L1 activity continued until after the split of the L1-extinct clade and the basal group. After the split, L1s had a small burst of activity in the former group, followed by extinction. In the basal group, activity was initially low but was followed by a dramatic increase in L1 activity. We found the last wave of B1s retrotransposition was large and probably preceded the split between the two rodent clades.\n\nConclusionsGiven that L1s had been steadily retrotransposing during the time corresponding to B1 extinction and that the burst of B1 activity preceding B1 extinction was large, we conclude that B1 extinction was not a result of L1 quiescence. Rather, the burst of B1 activity may have contributed to L1 extinction both by competition with L1 and by putting strong selective pressure on the host to control retrotransposition.

evolutionary biology↗

bioRxiv2017

Selecting among three basic fitness landscape models: additive, multiplicative and stickbreaking

Fitness landscapes map genotypes to organismal fitness. Their topography depends on how mutational effects interact-epistasis-and is important for understanding evolutionary processes such as speciation, the rate of adaptation, the advantage of recombination, and predictability versus stochasticity of evolution. The growing amount of empirical data has made it possible to better test landscape models empirically. We argue that this endeavor will benefit from the development and use of meaningful null models against which to compare more complex models. Here we develop statistical and computational methods for fitting fitness data from mutation combinatorial networks to three simple models: additive, multiplicative and stickbreaking. We employ a Bayesian framework for doing model selection. Using simulations, we demonstrate that our methods work and we explore their statistical performance: bias, error, and the power to discriminate among models. We then illustrate our approach and its flexibility by analyzing several previously published datasets. An R-package that implements our methods is available in the CRAN repository under the name Stickbreaker.

evolutionary biology↗