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<p> Comprehensive mastery of modern genetics involves a myriad of data processing and analytic techniques; these approaches vary because some genetic conditions are the result of single gene mutations that alter protein function, while other more complex diseases and traits are influenced by many genes. This dissertation will undertake investigation of the heritability and genetic risk of cranial cruciate ligament rupture in Labrador Retrievers, a congenital hypomyelinating polyneuropathy in four Golden Retrievers, and the potential usage of telomere length as a biomarker of welfare in dogs housed in commercial breeding facilities. </p> <p>In the first disease studied, 333 Labrador Retrievers with known torn or healthy cranial cruciate ligament(s) were genotyped via SNP array. Heritability of this polygenic trait was calculated using a variety of programs and including different fixed effects. Overall, heritability was high, ranging from 0.550 to 0.893, with sex and sterilization at a young age (≤12 months) strongly influencing risk of cranial cruciate ligament rupture. Neither genome-wide association analyses using this novel dataset of 333 Labrador Retrievers, nor additional analyses combining this data with publicly-available data, identified any significantly associated SNPs. However, the most associated SNPs were located near biologically relevant genes, such as <em>COL1A2</em> (a collagen gene) and <em>ITGA11</em> (a protein that binds to collagen), as well as genes encoding sex hormone receptors, such as <em>FSHR </em>and <em>LHCCGR</em>. Splitting the data in an attempt to predict phenotypes based on genotype was unsuccessful. Future work focused on parsing out genetic influencers of cranial cruciate ligament rupture risk should continue to collect sex, sterilization status, and age at sterilization data, and larger collaborations and use of publicly-available data will be required to increase the data robustness.</p> <p>For the second study, DNA from four unrelated Golden Retrievers diagnosed with congenital hypomyelinating polyneuropathy via neurological examination, electrodiagnostic evaluation, and peripheral nerve pathology were explored for genetic causes. Whole-genome sequencing was performed on all four dogs to identify potential causative variants. When compared to WGS from >1,000 other dogs who were presumably unaffected by this rare disease, likely causative variants were identified in all four dogs. Two cases shared a homozygous <em>MTMR2 </em>splice donor site variant, with a stop codon introduced within six codons following the inclusion of the intron. One case had a heterozygous <em>MPZ</em> missense mutation leading to an isoleucine to threonine substitution. The last case had a homozygous <em>SH3TC2</em> nonsense variant predicted to truncate approximately one-half of the protein. Haplotype analyses using 524 Golden Retrievers indicated that these variants emerged recently. Each of these variants occurred in genes that are associated with the human Charcot-Marie-Tooth group of heterogeneous peripheral nervous system diseases. Testing a population of unrelated Golden Retrievers (n > 200) did not identify any other dogs with these variants, though breeders should be cautious to avoid propagating these alleles.</p> <p>Finally, the last study within this dissertation investigates the relationship between telomere length and metrics such as age, breed, environment, average breed lifespan, parity, and response to a mild social stressor in a population of dogs housed at commercial breeding facilities. FIDO scores (behavioral phenotypes) were collected for all dogs as a measurement of response to a social stressor. This study is not yet complete; many more dogs remain to be recruited in the near future. Telomere lengths were measured using qPCR and compared to a single-copy gene, <em>36B4</em>, for 309 dogs representing 37 breeds or breed crosses. Age was not significantly associated with telomere length after making appropriate corrections (p-value = 0.077). Breed and facility were significantly associated with telomere length after corrections (p-value = 0.010 and <2.2E-16, respectively). Neither parity nor average breed lifespan were associated with telomere length, however, response to a mild social stressor was, with dogs who responded positively having significantly longer telomeres than dogs who responded negatively across all analyses. This preliminary data indicates that, within this population, breed, environment, and response to stress have strong influences on telomere length, while parity and average breed lifespan did not. As this work continues, increased sample sizes will lead to increased power for detecting associations. Future work should examine these identified relationships in other populations of dogs.</p> <p>Taken together, these studies encompass phenotypes of various complexity, and each study encompassed different methodologies utilized in modern canine genetics. The overall goal for this work was to improve canine health, with the potential for translational implications to human health. The identification of genetic markers associated with or causative of disease, or indicative of health and welfare traits, is necessary for reducing the prevalence of disease and increasing the knowledge of welfare metrics in canines, respectively.</p>

<div>The use of genotypic markers in plant breeding has greatly increased in the last few decades. In this dissertation, I report on three topics that illustrate how genotypic marker information can be applied in maize breeding to increase genetic gain. In the first chapter¹, I describe how genotypic and phenotypic data can be used to predict the mean, variance, and superior progeny mean of virtual biparental populations. I use these predictions to identify optimal breeding crosses out of a commercially relevant collection of North American dent inbreds. In the second chapter, within the context of early generation maize inbred development, and using a hybrid testcross data set, I report on the change in genomic prediction accuracy as the size of the training set increases and compare the accuracy of different genomic selection models. In the third chapter², I used a multi-variable linear regression approach known as genomewide association (GWA) analysis to identify particular genetic locations, known as quantitative trait loci (QTL), that are associated with maize in orescence traits.</div>

<p dir="ltr">The Blanding’s Turtle (<i>Emydoidea blandingii</i>) is a species of conservation needs that ranges across the U.S Midwest and Northeast, and Ontario/Nova Scotia, Canada. The species has experienced several range expansions and contractions due to glacial dynamics and industrial landscape changes, which have led to population isolation and bottlenecks. Understanding genetic variation and population structure across the species’ geographic range is essential for conservation efforts to maintain and restore populations. While several regional studies have evaluated genetic variation in <i>E. blandingii</i>, there has been little population sampling across Michigan and limited attempts to directly compare genetic variation across extensively sampled populations within both its main range and disjunct segments in the Northeast U.S. In this study, I utilized 12 microsatellite loci to directly compare the genetic diversity of <i>E. blandingii</i> across 153 localities in a portion of the Great Lakes and the Northeast of the range. Additionally, 13 microsatellite loci were used to assess genetic diversity across 92 localities in Indiana, Ohio, and Michigan, including further sampling within Michigan. My findings confirmed higher genetic diversity within the Great Lakes compared to the Northeast and revealed greater genetic differentiation in the Northeast than in the Great Lakes. Population structure in both regions was influenced by distance (IBD) and watersheds, with a more pronounced effect in the Northeast. Using four different genetic clustering approaches (PCA, sPCA, STRUCTURE, and TESS3r), I identified three range-wide clusters, three within the Northeast, and three within the Great Lakes. Within the Great Lakes, estimates of effective population size (<i>N</i>e) were high at both the population and watershed level, although influenced by sample size. The long lifespans of <i>E. blandingii</i> likely contribute to high levels of genetic diversity, while post-glacial gene flow across the landscape has resulted in low to moderate levels of differentiation within the regions. This study highlights poorly understood population structure and differences in genetic diversity between regions. Although Great Lakes populations are less isolated and more genetically diverse than those in the Northeast, this does not suggest that they are secure. Both regions face potential genetic loss over the next century, requiring further management implications to mitigate any further decline.</p>

<p><br></p> <p>Thrips, Thysanoptera, represent an ancient (~407 m.y.a.) order of ~6000 tiny insects from 9 families. Despite the small size of the order, thrips have a diversity of life histories, diets, and survival strategies. Thrips represent a challenge to fieldworkers and axonomists alike due to the morphological similarity between species and the lack of homologies between families. Recent </p> <p>molecular evidence has reopened debate over the phylogenetic relationships of the families of Thysanoptera.</p> <p>In this thesis we use genomic approaches to elucidate and clarify the early nodes in order to answer evolutionary questions about the Thysanoptera, their mitochondrion symbiotes, and their </p> <p>coevolutionary interactions with a group of economically important viruses; tospoviruses. Our results support previous ordinal hypotheses and show families in both sub-orders radiating </p> <p>around the emergence of the angiosperms ~120 m.y.a. We show that all thrips lineages likely have highly rearranged mitochondrial genomes, even on an intraspecies level, and that this rearrangement phenomena occurs very quickly in evolutionary time. We provide comment on the caution that must be taken with mitochondrial loci in any phylogenetic analysis with this new </p> <p>evidence and argue for the impact of among-site-rate-heterogeneity to be further investigated within thrips hylogenetics. We show that much more data is needed before thrips and tospovirus relationships can be fully elucidated but that two dueling hypotheses are emergent from our studies: either 5 very new separate vector/virus relationships, or one very old relationship that has been lost by the vast amount of thrips. We call for targeted taxa selection and show how new genomic methods can target certain taxa based upon the identification of </p> <p>assembled proteins from illumine shotgun read data.</p>

<p>Ancestry is a complex and layered concept, but it must be operationalized for its objective use in genetic studies. Critical decisions in research analyses, clinical practice, and forensic investigations are based on genetic ancestry inference. For example, in genetic association studies for clinical and applied research, investigators may need to isolate one population of interest from a worldwide dataset to avoid false positive results, or in human identification, ancestry inferences can help reveal the identity of unknown DNA evidence by narrowing down a suspect list. Many studies seek to improve ancestry inference for these reasons. The research presented here offers valuable resources for exploring and improving genetic ancestry inference and intelligence toward identity. </p> <p>First, analyses with ‘big data’ in genomics is a resource-intensive task that requires optimization. Therefore, this research introduces a suite of automated Snakemake workflows, <em>Iliad</em>, that was developed to give the research community an easy-to-learn, hands-off computational tool for genomic data processing of multiple data formats. <em>Iliad</em> can be installed and run on a Google Cloud Platform remote server instance in less than 20 minutes when using the provided installation code in the ReadTheDocs documentation. The workflows support raw data processing from various genetic data types including microarray, sequence, and compressed alignment data, as well as performing micro-workflows on variant call format (VCF) files to merge data or lift over variant positions. When compared to a similar workflow, <em>Iliad </em>completed processing one sample’s raw paired-end sequence reads to a human-legible VCF file in 7.6 hours which was three-times faster than the other workflow. This suite of workflows is paramount towards building reference population panels from human whole-genome sequence (WGS) data which is useful in many research studies including imputation, ancestry estimation, and ancestry informative marker (AIM) discovery.</p> <p>Second, there are persistent challenges in ancestry inference for individuals of the Middle East, especially with the use of AIMs. This research demonstrates a population genomics study pertaining to the Middle East, novel population data from Lebanon (n=190), and an unsupervised genetic clustering approach with WGS data from the 1000 Genomes Project and Human Genome Diversity Project. These efforts for AIM discovery identified two single nucleotide polymorphisms (SNPs) based on their high allelic frequency differences between the Middle East and populations in Eurasia, namely Europe and South/Central Asia. These candidate AIMs were evaluated with the most current and comprehensive AIM panel to date, the VISAGE Enhanced Tool (ET), using an external validation set of Middle Eastern WGS data (n=137). Instead of relying on pre-defined biogeographic ancestry labels to confirm the accuracy of validation sample ancestry inference, this research produced a deep, unsupervised ADMIXTURE analysis on 3,469 worldwide WGS samples with nearly 2 million independent SNPs (r2 < 0.1) which provided a genetic “ground truth”. This resulted in 136/137 validation samples as Middle East and provided valuable insights toward reference samples with varying co-ancestries that ultimately affects the classification of admixed individuals. Novel deep learning methods, specifically variational autoencoders, were introduced for visualizing one hundred percent of the genetic variance found using these AIMS in an alternative method to PCA and presents distinct population clusters in a robust ancestry space that remains static for the projection of unknown samples to aid in ancestry inference and human identification. </p> <p>Third, this research delves into a craniofacial study that makes improvements toward key intelligence information about physical identity by exploring the relationship between dentition and facial morphology with an advanced phenotyping approach paired with robust dental parameters used in clinical practice. Cone-beam computed tomography (CBCT) imagery was used to analyze the hard and soft tissue of the face at the same time. Low-to-moderate partial correlations were observed in several comparisons of dentition and soft tissue segments. These results included partial correlations of: i) inter-molar width and soft tissue segments nearest the nasal aperture, the lower maxillary sinuses, and a portion of the upper cheek, and ii) of lower incisor inclination and soft tissue segments overlapping the mentolabial fold. These results indicate that helpful intelligence information, potentially leading towards identity in forensic investigations, may be present where hard tissue structures are manifested in an observable way as a soft tissue phenotype. This research was a valuable preliminary study that paves the way towards the addition of facial hard tissue structures in combination with external soft tissue phenotypes to advance fundamental facial genetic research. Thus, CBCT scans greatly add to the current facial imagery landscape available for craniofacial research and provide hard and soft tissue data, each with measurable morphological variation among individuals. When paired with genetic association studies and functional biological experiments, this will ultimately lead to a greater understanding of the intricate coordination that takes place in facial morphogenesis, and in turn, guide clinical orthodontists to better treatment modalities with an emphasis on personalized medicine. Lastly, it aids intelligence methodologies when applied within the field of forensic anthropology.</p>

<p>  </p> <p>With the discovery and treatment of any disease comes the important question of its genetic prevalence. This is especially important for animals under strict breeding control, such as dogs, because this can provide essential information regarding breeding pair decisions. Thus, the focus of this thesis is to investigate the genetic prevalence of three different diseases: 1) Factor VII Deficiency (FVIID), 2) Collie Eye Anomaly (CEA), and 3) Progressive Rod-Cone Degeneration-Progressive Retinal Atrophy (prcd-PRA). Factor VII Deficiency (FVIID) is a clotting disorder observed in both humans and dogs, characterized by impeded function of the Factor VII protein. In dogs, FVIID is caused by a single nucleotide substitution (c.407G>A) in the <em>F7 </em>gene. This mutation, identified in a colony of research Beagles, is also present in dogs with a wide variety of distantly-related breed backgrounds and in mixed-breed dogs, suggesting an ancient, ancestral origin. Given the relatively common presence of this variant, it was hypothesized that this genetic mutation could be contributing to excessive bleeding in canine autopsy cases that could not be attributed to typical causes. DNA from formalin-fixed paraffin-embedded tissues (n = 67 cases) were Sanger sequenced for the FVIID c.407G>A mutation, and all were determined to be homozygous wild-type. Therefore, the tested variant is not associated with the unexplained bleeding in these cases, and it is not a logical diagnostic test to apply to similar cases in the future.</p> <p><br></p> <p>CEA and prcd-PRA are ophthalmic genetic diseases of concern often included in commercial genetic testing panels. A large dataset spanning 15+ years provided by a commercial partner company (OptiGen/Wisdom Panel, Kinship) encompassed dogs tested for the CEA-associated <em>NHEJ1</em> deletion (n = 33,834 dogs) and the prcd-PRA causal mutation in <em>PRCD</em> (n = 86,667 dogs). Disease trends were observed graphically and analyzed with Chi-square goodness-of-fit testing and regression modeling for disease status and genotype classification. Both diseases had a statistically significant change in genotype frequencies from the first year of data to the last; both diseases also had a negative association between progression of time and overall probability of a dog being disease-positive or a carrier/heterozygous. This suggests that genetic testing results are being incorporated into breeding decisions, although affected dogs were still being identified by the end of this study. Different breeds, AKC groups, FCI groups, genetic clades, and geography were also investigated to determine impact on overall disease trend. </p>

<div>Delayed fracture healing is a major health issue involved with aging. Therefore, strategies to improve the pace of repair and prevent non-union are needed in order to improve patient outcomes and lower healthcare costs. In order to accelerate bone fracture healing noninvasively, we sought to develop a drug delivery system that could safely and effectively be used to deliver therapeutics to the site of a bone fracture. We elected to pursue the promising strategy of using small-molecule drug conjugates that deliver therapeutics to bone in an attempt to increase the efficacy and safety of drugs for treating bone-related diseases.</div><div>This strategy also opened the door for new methods of administering drugs. Traditionally, administering bone anabolic agents to treat bone fractures has relied entirely on local surgical application. However, because it is so invasive, this method’s use and development has been limited. By conjugating bone anabolic agents to bone-homing molecules, bone fracture treatment can be performed through minimally invasive subcutaneous administration. The exposure of raw hydroxyapatite that occurs with a bone fracture allows these high-affinity molecules to chelate the calcium component of hydroxyapatite and localize primarily to the fracture site.</div><div>Many bone-homing molecules (such as bisphosphonates and tetracycline targeting) have been developed to treat osteoporosis. However, many of these molecules have toxicity associated with them. We have found that short oligopeptides of acidic amino acids can localize to bone fractures with high selectivity and with very low toxicity compared to bisphosphonates and tetracyclines.</div><div>We have also demonstrated that these molecules can be used to target peptides of all chemical classes: hydrophobic, neutral, cationic, anionic, short, and long. This ability is particularly useful because many bone anabolics are peptidic in nature. We have found that acidic oligopeptides have better persistence at the site of the fracture than bisphosphonate-targeted therapeutics. This method allows for a systemic administration of bone anabolics to treat bone fractures, which it achieves by accumulating the bone anabolic at the fracture site. It also opens the door for a new way of treating the prevalent afflictions of broken bones and the deaths associated with them.</div><div>We further developed this technology by using it to deliver anabolic peptides derived from growth factors, angiogenic agents, neuropeptides, and extracellular matrix fragments. We found several promising therapeutics that accelerated the healing of bone fractures by improving the mineralization of the callus and improving the overall strength. We optimized the performance of these molecules by improving their stability, targeting ligands, linkers, dose, and dosing frequency.</div><div>We also found that these therapeutics could be used to accelerate bone fracture repair even in the presence of severe comorbidities (such as diabetes and osteoporosis) that typically slow the repair process. We found that, unlike the currently approved therapeutic for fracture healing (BMP2), our therapeutics improved functionality and reduced pain in addition to strengthening the bone. These optimized targeted bone anabolics were not only effective at healing bone fractures but they also demonstrated that they could be used to speed up spinal fusion. Additionally, we demonstrated that acidic oligopeptides have potential to be used to treat other bone diseases with damaged bone.</div><div>With these targeted therapeutics, we no longer have to limit bone fracture healing to casts or invasive surgeries. Rather, we can apply these promising therapeutics that can be administered non-invasively to augment existing orthopedic practices. As these therapeutics move into clinical development, we anticipate that they will be able to reduce the immobilization time that is the source of so many of the deadly complications associated with bone fracture healing, particularly in the elderly.</div>