School of BioSciences - Theses
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ItemGenomically informed gene drive modelling( 2022)CRISPR/Cas gene drives are a focus of genetic biocontrol for pest species. They have the potential to radically affect pest species, by making them more manageable or by eradicating them. However, it is not yet fully understood how the elements of a gene drive interact to guide the progression of a gene drive. We explored how we can design gene drives that are safer, either by being temporally limiting or spatially limiting, through a modelling framework. Our modelling included a range of variables, with the addition of genomic information to infer the homing efficiency of the gene drive. We showed that there was no single variable that differentiated between the outcomes of a gene drive. Granted some variables were more influential in determining the outcome than others. The degree of dominance of the selection coefficient was shown to be strongly influential on the equilibrium outcome. While the interaction between conversion efficiency and resistance was shown to strongly influence the Temporary outcome. Furthermore, we showed that internal dynamics of a gene drive can be regulated by the variables of the gene drive. This provided insight into where effort should be directed in gene drive design to achieve the intended outcome of a gene drive, as well as controlling the progression to that outcome. The inclusion of genomic data in CRISPR gene drive modelling allowed for localisation of the gene drive due to genetic variation alone. Finding loci in the genome where there were allele frequencies differences allowed us to model gene drives that were highly efficient in the target population and poorly efficient in off-target populations. This conversion efficiency differential allowed for sustained gene drive localisation in spite of migration and selection. Population suppression was explored in our modelling to better understand how we could create sustained localised suppression. We showed sustained population suppression was possible through incomplete distortion of the sex ratio of the progeny. A deterministic gene drive model was developed to solve for equilibrium points for a range of migration rates and selection coefficients. These equilibria can be used as thresholds for gene drive design and monitoring. This work aims to further develop our understanding of how gene drives are likely to progress when released. We focussed on characterising which aspects of a gene drive were most important in determining both their progression and outcome. The inclusion of genetic information in our modelling revealed a new avenue that can be exploited to achieve gene drive localisation. This modelling work will aid in the design process of gene drives to increase our confidence that gene drives will work as intended.
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ItemThe evolutionary and functional characterisation of the ecdysteroid kinase-like (EcKL) gene family in insects( 2020)Many thousands of gene families across the tree of life still lack robust functional characterisation, and thousands more may be under-characterised, with additional unknown functions not represented in official annotations. Here, I aim to characterise the evolution and functions of the poorly characterised ecdysteroid kinase-like (EcKL) gene family, which has a peculiar taxonomic distribution and is largely known for containing an ecdysteroid 22-kinase gene in the silkworm, Bombyx mori. I hypothesised that EcKLs may also be responsible for insect-specific ‘detoxification-by-phosphorylation’, as well as ecdysteroid hormone metabolism. My first approach was to explore the evolution of the EcKLs in the genus Drosophila (Diptera: Drosophilidae), which contains the well-studied model insect Drosophila melanogaster. Drosophila EcKLs have evolutionary and transcriptional similarities to the cytochrome P450s, a classical detoxification family, and an integrative ‘detoxification score’, benchmarked against the known functions of P450 genes, predicted nearly half of D. melanogaster EcKLs are candidate detoxification genes. A targeted PheWAS approach in D. melanogaster also identified novel toxic stress phenotypes associated with genomic and transcriptomic variation in EcKL and P450 genes. These results suggest many Drosophila EcKLs function in detoxification, or at least have key functions in the metabolism of xenobiotics, and additionally identify a number of novel P450 detoxification candidate genes in D. melanogaster. I then broadened the phylogenomic analysis of EcKLs to a manually annotated dataset containing an additional 128 insect genomes and three other arthropod genomes, as well as a number of transcriptome assemblies. Phylogenetic inference suggested insect EcKLs can be grouped into 13 subfamilies that are differentially conserved between insect lineages, and order-specific analyses for Diptera, Lepidoptera and Hymenoptera revealed both highly conserved and highly variable EcKL clades within these taxa. Using phylogenetic comparative methods, EcKL gene family size was found to vary with detoxification-related traits, such as the sizes of classical detoxification gene families, insect diet, and two estimations of ‘detoxification breadth’ (DB), one qualitative and one quantitative. Additionally, the rate of EcKL duplication was found to be low in lineages with small DB—bees and tsetse flies. These results suggest the EcKL gene family functions in detoxification across insects. Building on my previous ‘detoxification score’ analysis, I used the powerful genetic toolkit in D. melanogaster and developmental toxicology assays to test the hypothesis that EcKL genes in the highly dynamic Dro5 clade are involved in the detoxification of selected plant and fungal toxins. Knockout or misexpression of Dro5 genes, particularly CG13659 (Dro5-7), modulated susceptibility to the methylxanthine alkaloid caffeine, and Dro5 knockout also increased susceptibility to kojic acid, a fungal secondary metabolite. These results validate my evolutionary and integrative analyses, and provide the first experimental evidence for the involvement of EcKLs in detoxification processes. Finally, I aimed to find genes encoding ecdysteroid kinases in D. melanogaster, focusing on Wallflower (Wall/CG13813) and Pinkman (pkm/CG1561), orthologs of a known ecdysteroid 22-kinase gene. Wall and pkm null mutant animals developed normally, but misexpression of Wall caused tissue-specific developmental defects, albeit not those consistent with inactivation of the main ecdysteroid hormones, ecdysone and 20-hydroxyecdysone. In addition, my hypothesis that Wall encodes an ecdysteroid 26-kinase was not supported by hypostasis experiments with a loss-of-function allele of the ecdysteroid 26-hydroxylase/carboxylase gene Cyp18a1. Combined with existing expression and regulatory data, these results suggest Wall encodes an ecdysteroid kinase with an unknown substrate, and hint at previously unknown complexity in ecdysteroid signalling and metabolism in D. melanogaster. Overall, this thesis provides a detailed exploration of the functions of the EcKL gene family in insects, showing that these genes comprise a novel detoxification gene family in multiple taxa, and that they may also contribute to understudied aspects of ecdysteroid metabolism in a model insect. This work also demonstrates the power and potential of integrating evolutionary, genomic, transcriptomic and experimental data when characterising genes of unknown function.