Gene duplications can facilitate genetic innovation, reduce pleiotropy and catalyze reproductive incompatibilities and speciation. Therefore, the molecular and transcriptional fate of duplicate genes plays an important role in the evolutionary trajectory of entire genomes and transcriptomes. Using the polyploid African clawed frog Xenopus, I have investigated mechanisms that promote the retained expression of duplicate genes (paralogs) after whole genome duplication. The studies herein estimated molecular evolution and characterized expression divergence of thousands of duplicate genes and a singleton ortholog from a diploid outgroup. In this thesis, I have discussed the multiple mechanisms for the retention of duplicate genes in a polyploid genome and examined the potential effects that gene characteristics before duplication have on the odds of duplicate gene persistence. I have also explored the use of microarrays for comparative transcriptomics between duplicate genes, and between diverged genomes. The main objectives of my thesis were to better understand the genetic mechanisms that promote the retained expression of gene duplicates. My research utilized the duplicated genome from the allopolyploid clawed frog Xenopus. Genome duplication in clawed frogs offers a compelling opportunity to study factors that influence the genetic fates of gene duplicates because many paralogs in these frogs are of the same age, permitting one to control for the influence of time when evaluating the impact of duplication. My work has major impacts on several biological fronts including evolutionary genomics and comparative transcriptomics, and also on technical aspects of using microarrays. I have provided among the most comprehensive studies of its kind, in terms of examining molecular and regulatory aspects of thousands of expressed duplicates of the same age, and exploring various alternative hypotheses to explain how these genes are retained. / Thesis / Doctor of Philosophy (PhD)

Seminal plasma is commonly known to serve as a transport medium for sperm as it moves through the female reproductive tract for fertilization, however, more recent evidence demonstrates seminal plasma induces an expansive inflammatory response in the uterus. Murine models have found this inflammatory response is important for clearing pathogens and poor-quality sperm, eliciting the secretion of cytokines, chemokines, and embryokines that aid in embryo attachment and growth, placental angiogenesis, and blunting maternal immunity to the embryo. However, there is minimal research on the impacts of seminal plasma uterine priming in bovine, and more specifically embryo growth, uterine blood flow, offspring growth and metabolism, and production efficiency. There is significant evidence that malnutrition and environmental stress during gestation alters uterine blood flow resulting in poor placental efficiency and poor fetal growth and development which persists postnatally. Animal production is vital in providing high-quality protein for human consumption but recent challenges of public misconception, consumer preferences, high input costs, and environmental impacts threaten the security of these production systems. Growth efficiency is imperative for improving economic and environmental sustainability, and in turn ensuring the longevity of animal production systems. Knowing the impact of seminal plasma on the uterus, and its potential role in placental efficiency and subsequent offspring growth and metabolic function, and the negative impacts these can have on economic and environmental sustainability drive the need to better understand seminal plasma uterine priming in bovine.

No description available.

Phenotypic plasticity and local adaptation via genetic change are two major mechanisms of response to dynamic environmental conditions. These mechanisms are not mutually exclusive, since genetic change can establish similar phenotypes to plasticity. This connection between both mechanisms raises the question of how much of the variation observed between species or populations is plastic and how much of it is genetic. In this study, we used a structured population of fire salamanders (Salamandra salamandra), in which two subpopulations differ in terms of physiology, genetics, mate-, and habitat preferences. Our goal was to identify candidate genes for differential habitat adaptation in this system, and to explore the degree of plasticity compared to local adaptation. We therefore performed a reciprocal transfer experiment of stream- and pond-originated salamander larvae and analyzed changes in morphology and transcriptomic profile (using species-specific microarrays). We observed that stream- and pond-originated individuals diverge in morphology and gene expression. For instance, pond-originated larvae have larger gills, likely to cope with oxygen-poor ponds. When transferred to streams, pond-originated larvae showed a high degree of plasticity, resembling the morphology and gene expression of stream-originated larvae (reversion); however the same was not found for stream-originated larvae when transferred to ponds, where the expression of genes related to reduction-oxidation processes was increased, possibly to cope with environmental stress. The lack of symmetrical responses between transplanted animals highlights the fact that the adaptations are not fully plastic and that some level of local adaptation has already occurred in this population. This study illuminates the process by which phenotypic plasticity allows local adaptation to new environments and its potential role in the pathway of incipient speciation.

No description available.

Diffuse Gliome bei Erwachsenen sind aggressive, unheilbare Hirntumore. Humanisierte Mausmodelle helfen, molekulare Mechanismen zu verstehen und therapeutische Ziele zu identifizieren, aber der Vergleich mit Proben von Patienten gestaltet sich schwierig. Ich habe eine computergestützte Plattform namens CAPE entwickelt, um Tumormodelle und Patienten-Expressionsprofile mit Hilfe der nicht-negativen Matrixfaktorisierung zu vergleichen. Die Anwendung von CAPE auf humanisierte Maus-Gliom-Avatar-Modelle (GSA) und diffuse Glioma-Patienten zeigte eine starke Übereinstimmung zwischen den Modellen und dem proneuralen Glioblastom-Subtyp. CAPE hat gezeigt, dass durch die Transplantation der Erwerb neuer Tumorzustände in den Modellen verbessert wurde. Durch die Kombination von reporterbasiertem genetischem Tracing und CAPE zeigte sich, dass eine Untergruppe der in vivo GSA-Populationen mit Patienten zusammenfällt, die astrozytische Merkmale aufweisen. Die Behandlung von GSA-Modellen in vitro mit menschlichem Serum, TNFα oder ionisierender Strahlung führte zu einer Verschiebung in den mesenchymalen Zustand. Einzelzell-Transkriptomik annotierte GSA-Populationen unter verschiedenen Bedingungen und zeigte alle Glioblastomzustände in vivo und bei Aktivierung durch externe Faktoren. Der Vergleich von GSA-Einzelzellpopulationen und Patienten bestätigte diese Identitäten. Die Studie etablierte einen umfassenden Rahmen für die Erprobung und Validierung von Verbesserungen der Tumormodelle, um Patienten besser abzubilden, und erweiterte das Verständnis der Tumorbiologie und Ansprechen auf Therapie. / Adult-type diffuse gliomas are aggressive, incurable adult brain cancers. Humanized mouse models help understand molecular mechanisms and identify therapeutic targets, but comparing them with patient samples is difficult. I developed a computational framework, CAPE, for comparing tumor models and patient expression profiles using non-negative matrix factorization. Applying CAPE to humanized mouse glioma subtype avatar models (GSA) and adult-type diffuse glioma patients revealed a strong resemblance between models and proneural glioblastoma subtype. CAPE showed that transplantation improved new tumor state acquisition in models. Combining genetic tracing reporter phenotypic selection with CAPE showed a subset of in vivo GSA populations clustering with patients having astrocytic-like identities. In vitro treatment of GSA models with human serum, TNFα, or ionizing radiation led to a mesenchymal state shift upon reporter selection. Single-cell transcriptomics annotated GSA populations in different conditions, revealing all glioblastoma states in vivo and upon external factor activation. Comparing GSA single-cell populations and patients confirmed these identities. The study established a comprehensive framework for testing and validating tumor model improvements to resemble patients, advancing tumor biology and treatment response understanding.

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and the most common form of dementia. AD is characterized clinically by cognitive, behavioral, and learning and memory impairments and neuropathologically by amyloid-beta (Aβ) plaques, neurofibrillary tangles (NFTs), neuroinflammation, and synaptic and neuronal loss. Although AD was first described over a century ago, there is no cure and the limited treatment options do little to slow the progression of the devastating disease. Because of these reasons, there has been a significant interest in preventative strategies for AD. Previous studies have shown that perinatal choline supplementation can improve learning and memory, dampen neuroinflammation, diminish cholinergic deficits, reduce brain amyloidosis, and increase neurogenesis in AD model mice. In these studies, we investigated the roles of perinatal choline supplementation on anxiety and exploratory behavior, spatial and fearful learning and memory, brain Aβ42 deposition, and gene expression in the AppNL-G-F AD mouse model. We found that there were slight anxiety-related behavior changes in AppNL-G-F mice compared to wildtype mice. AppNL-G-F mice had impaired spatial learning that could be prevented by perinatal choline supplementation at early ages (3- and 6-months-old) but not a later age (12-months-old). Fearful learning and memory deficits were found in AppNL-G-F mice at 9- and 12-months of age and could be abolished by perinatal choline supplementation. Perinatal choline supplementation significantly reduced Aβ42 deposition across the brain in AppNL-G-F mice. The AppNL-G-F transcriptome was characterized by changes in genes related to inflammatory, neuronal and synaptic, energy, and metabolic pathways and led to a distinct transcriptional signature from wildtype mice. Perinatal choline supplementation was able to significantly reduce the transcriptional deficits found in AppNL-G-F mice and led to the identification of choline responsive AD-pathology-associated genes (CRADPAGs). Lastly, some of the CRADPAGs identified using AppNL-G-F AD model mice correlated significantly with AD diagnosis, clinical dementia rating, and AD pathologies in a human data set. Together, the results from these studies and the previously published data suggest that adequate choline intake during development may serve as a strategy to prevent or reduce AD dementia and pathologies. / 2025-01-24T00:00:00Z

Adult hippocampal neurogenesis is orchestrated by neural stem cell (NSC) activity. Some associations exist between autophagy and neurogenesis, yet much remains unknown about autophagic regulation of adult neurogenesis. This thesis interrogates the requirement and role of Beclin1 and Atg5, two regulators of autophagy, in the formation of adult hippocampal neurons. To examine adult brain NSCs, the experiments presented in the first objective of this thesis test the ability to isolate adult NSCs using flow cytometry and a DNA-binding dye, DyeCycleViolet. While adult NSCs could not be isolated from the adult neurogenic niches using this methodology, it was effective in isolating endothelial cells. This provided valuable insight on the use of DNA-binding dyes and a new method for isolation of brain endothelial cells. The next objective determines the role of Beclin1 in adult NSCs and their progeny using an inducible model. Beclin1 loss in Nestin-expressing hippocampal NSCs resulted in reduced proliferation, autophagy, and adult neurogenesis within one month. Single-cell RNA sequencing and other methods illuminated that loss of Beclin1 resulted in mitosis reduction, disrupted mitotic regulation of chromatin maintenance, and induction of DNA damage. The final objective first tests whether Beclin1 loss results in similar deficits within GLAST-expressing NSCs and progeny. This model mirrored neurogenesis deficits and requirement of Beclin1 in mitosis and DNA maintenance. Next, to test whether this phenotype occurs with other autophagy proteins, Atg5 was removed from GLAST NSCs. This resulted in reduced autophagy and a transient decrease in neurons in the absence of any effect on NSC proliferation. Thus, proliferation deficits are unique to Beclin1 loss and do not underlie reduced adult hippocampal neurogenesis after Atg5 removal. This work demonstrates a novel discovery of mitosis regulation in adult NSCs by Beclin1, and individual roles of Beclin1 and Atg5 in neurogenesis.

Populationen kanzeröser Zellen können aus verschiedenen Subpopulationen mit distinkten phänotypischen Profilen bestehen. Diese Dissertation verwendet mathematische Modellierung sowie die Analyse von Einzelzell-Genexpressionsdaten zur Beantwortung von Fragen über die Entstehung, das Wachstum und die Behandlung von Tumoren im Kontext einer solchen intratumoralen Heterogenität. / Tumoural cell populations may consist of different subpopulations with distinct phenotypic profiles. This thesis applies mathematical modelling as well as the analysis of single-cell gene expression data to questions related to the emergence, growth and treatment of tumours in the context of such an intratumoural heterogeneity.

This thesis presents a method for integrating heterogeneous gene/protein datasets at the functional level based on Gene Ontology term similarity. Often biologists want to integrate heterogeneous data sets obtain from different biological samples. A major challenge in this process is how to link the heterogeneous datasets. Currently, the most common approach is to link them through common reference database identifiers which tend to result in small number of matching identifiers. This is due to lack of standard accession schemes. Due to this problem, biologists may not recognize the underlying biological phenomena revealed by a combination of the data but by each data set individually. We discuss an approach for integrating heterogeneous datasets by computing the similarity among them based on the similarity of their GO annotations. Then we group the genes and/or proteins with similar annotations by applying a hierarchical clustering algorithm. The results demonstrate a more comprehensive understanding of the biological processes involved.