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.

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.

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Cold-water corals are an important component of deep-sea ecosystems as they establish structurally complex habitats that support benthic biodiversity. These communities face imminent threats from increasing anthropogenic influences in the deep sea. Following the 2010 Deepwater Horizon blowout, several spill-impacted coral communities were discovered in the deep Gulf of Mexico, and subsequent mesophotic regions, although the exact source and extent of this impact is still under investigation, as is the recovery potential of these organisms. At a minimum, impacted octocorals were exposed to flocculant material containing oil and dispersant components, and were visibly stressed. Here the impacts of oil and dispersant exposure are assessed for the octocoral genus Paramuricea. A de novo reference assembly was created to perform gene expression analyses from high-throughput sequencing data. Robust assessments of these data for P. biscaya colonies revealed the underlying expression-level effects resulting from in situ floc exposure. Short-term toxicity studies, exposing the cold-water octocorals Paramuricea type B3 and Callogorgia delta to various fractions and concentrations of oil, dispersant and oil/dispersant mixtures, were also conducted to determine overall toxicity and tease apart the various components of the synergistic exposure effects. Finally, alterations in Paramuricea B3 gene expression profiles were inspected to characterize genome-wide changes induced by each treatment and putative genes under differential regulation. The experimental results provide evidence for a relatively high toxicity of chemical dispersants as compared to oil additions alone, elucidating the implications of applying oil dispersants to future oil spills. My findings revealed signatures of cellular stress in floc-exposed corals associated with xenobiotic metabolism, immune and inflammatory responses as well as transcriptional suppression of vital cellular components like ribosomal proteins. The data also suggests poor recovery potential in our coral samples exposed to floc. In addition, promising biomarker candidates were identified from the differential expression data for use in future spill-impact monitoring. / Biology

Current sequencing technologies allows researchers unprecedented insight into our biology, and how these biological mechanisms can become distorted and lead to disease. These aberrant mechanisms can be brought about by many causes, but some occur as a result of genetic mutations or external factors through the epigenome. Here, we used our microfluidic technology to profile the epigenome and transcriptome to study such aberrant mechanisms in three different diseases and illnesses: breast cancer, chronic inflammation, and mental illness. We profiled the epigenome of breast tissue from healthy women with the BRCA1 mutation to understand how the mutation may facilitate eventual breast cancer. Epigenomic changes in breast cells suggest that cells in the basal compartment may differentiate into a different cell type, and perhaps become the source of breast cancer. Next, we compared the epigenome and genome of murine immune cells under low-grade inflammation and acute inflammation conditions. We found that low-grade inflammation preferentially utilizes different signaling pathways than in acute inflammation, and this may lead to a non-resolving state. Finally, we analyzed the effect of the maternal immune activation on unborn offspring, and how these changes could cause later mental illness. The insights we made into these diseases may lead to future therapies. / Doctor of Philosophy / Despite advances in medical and scientific research, there is still a dearth of information on how diseases affect the expression of our genes, such as breast cancer, chronic inflammation, and influenza. Mutation in the BRCA1 gene is probably the most well-known mutation that can lead to breast cancer. We know the overarching reason that mutation in BRCA1 can lead to cancer, as BRCA1 is responsible for repairing damage in the DNA, so mutations can compound and create cancerous cells. However, we do not know the exact mechanisms by which this actually happens. Another widespread problem is chronic inflammation, which can promote or lead to diseases such as diabetes, cancer, Alzheimer's, Rheumatoid arthritis, and heart disease. In addition, there are many causes of chronic inflammation that many people have experienced at some point in time, including stress, insomnia, being sedentary, poor eating habits, and obesity. Despite this, we still do not fully understand why chronic inflammation differs from normal inflammation, which is a healthy process, or why it does not resolve. There are also other connections that are surprising, and many are not aware of. If a pregnant woman gets the flu during her second trimester, her baby has much higher odds of developing schizophrenia later in its lifetime. Given the prevalence of the flu, there is a very real chance that an expecting mother will be infected during her pregnancy.

Fungi play important roles in various environments. Some of them infect plants and cause economically important diseases. However, many fungal pathogens cause similar symptoms or are even spread asymptomatically, making it difficult to identify them morphologically. Therefore, culture-independent, sequence-based diagnostic methods that can detect and identify fungi independently of the symptoms that they cause are desirable. Whole genome metagenomic sequencing has the potential to enable rapid diagnosis of plant diseases without culturing pathogens and designing pathogen-specific probes. In my study, the MinION nanopore sequencer, a portable single‐molecule sequencing platform developed by Oxford Nanopore Technologies, was employed to detect the fungus Calonectria pseudonaviculata (Cps), the causal agent of the devastating boxwood blight disease of the popular ornamental boxwood (Buxus spp.). Various DNA extraction methods and computational tools were compared. Detection was sensitive with an extremely low false positive rate for most methods. Therefore, metagenomic sequencing is a promising technology that could be implemented in routine diagnostics of fungal diseases. Other fungi may play important roles in the atmosphere because of their ice nucleation activity (INA). INA is the capacity of some particles to induce ice formation above the temperature that pure water freezes (-38°C). Importantly, INPs affect the ratio of ice crystals to liquid droplets in clouds, which in turn affects Earth's radiation balance and the intensity and frequency of precipitation. A few fungal species can produce ice nucleating particles (INPs) that cause ice formation at temperatures ≥ –10°C and they may be present in clouds. Two such fungal genera are Fusarium and Mortierella but little is known about their INPs and the genetic basis of their INA. In my study, F. avenaceum and M. alpina were examined in detail. INPs of both species were characterized and it was found that strains within both species varied in regards to the strength of INA. Whole genome sequencing and comparative genomic studies were then performed to identify putative INA genes. Differential expression analyses at different growth temperatures were also performed. INP properties of the two species shared similarities, both appearing to consist of secreted aggregates larger than 30 kDa. Low temperatures induced INA in both species. Lists of candidate INA genes were identified based on their presence in the strains with the strongest INA and/or induction of their expression at low temperatures and because they either encode secreted proteins or enzymes that produce other molecules known to have INA in other organisms. These genes can now be characterized further to help identify the fungal INA genes in both species. This can be expected to help increase our understanding of the role of fungal INA in the atmosphere. / Doctor of Philosophy / Fungi are important to life on Earth and play roles in the environments that surround us. On the one hand, fungi can make plants sick and some plant diseases may even cause economic losses to farmers. If the cause of a disease can be identified accurately in an early stage before symptoms develop, disease transmission may be prevented and plants may be protected from disease. However, it is a challenge to find out which fungus causes which disease since symptoms of different fungal diseases look very similar. Typically, we have to wait for plants to become very sick or we have to isolate the fungus that causes a disease to identity it, which may be time-consuming and not lead to precise identification. DNA sequencing technologies have the potential to lead to more sensitive, faster, and more accurate disease diagnosis and, therefore, may help prevent disease outbreaks. In my study, the MinION nanopore sequencer, a small portable device, was used to detect the fungus causing boxwood blight on boxwood. By loading the DNA of unhealthy boxwood on the device, the boxwood blight pathogen was identified within a very short time. Thus, this method is a promising diagnostic method that may be applied to detect other plant fungal diseases as well. On the other hand, fungi may affect Earth's climate by affecting how many water droplets in clouds are frozen, which in turn affects Earth's temperature and how often and how much it rains and snows. Fungi may affect the freezing of water droplets in clouds since some of them have ice nucleation activity (INA), which is the capacity to catalyze ice formation at a higher temperature than the temperature at which pure water freezes (-38°C), and they may be present in clouds. So far, INA has only been found in a few fungi, including the species Fusarium avenaceum and Mortierella alpina, but the mechanism of their INA is poorly understood. In my study, multiple F. avenaceum and M. alpina strains were examined in detail. Two approaches were used. First, strains in each species were compared with each other to find out how strong their INA is. Once it was found that they differed in their strength of INA, their genomes were sequenced and compared to find genes present in the most active strains and missing from the least active strains since it is these genes that may contribute to INA. It was also found that both fungal species had stronger INA when they were grown at lower temperatures. Therefore, the expression of their genes between higher and lower temperatures was compared to find the genes that were more highly expressed at lower temperatures since it is these genes that may cause INA. Based on previous studies, fungal INPs may either consist of secreted proteins or be the products of biosynthetic gene clusters. Therefore, the list of potential genes was reduced by looking for genes encoding either secreted proteins or biosynthetic gene clusters. The list of these potential INA genes will make it easier to identify the INA genes in F. avenaceum and M. alpina and determine the role of fungi in affecting the weather and climate on Earth.

The field of functional genomics aims to understand the complex relationship between genotype and phenotype by integrating genome-wide approaches, such as transcriptomics, proteomics, and metabolomics. Large-scale "-omics" research has been made widely possible by the advent of high-throughput techniques, such as next-generation sequencing and mass-spectrometry. The vast data generated from such studies provide a wealth of information on the biological dynamics underlying phenotypes. Though functional genomics approaches are used extensively in human disease research, their use also spans organisms as miniscule as mycoplasmas to as great as sperm whales. In particular, functional genomics is instrumental in agricultural advancements for the improvement of productivity and sustainability in crop and livestock production. Improvement in soybean production is especially imperative, as soybeans are a primary source of oil and protein for human and livestock consumption, respectively. The research presented here employs functional genomics approaches – transcriptomics and metabolomics – to discern the transcriptional regulation and metabolic events underlying two economically important agronomic traits in soybean: seed phytic acid content and Soybean mosaic virus resistance. At normal levels, seed phytic acid content inhibits mineral absorption in humans and livestock, acting as an antinutrient and contributing to phosphorus pollution; however, the development of low phytic acid soybeans has helped mitigate these issues, as their seeds increase nutrient bioavailability and reduce environmental impact. Despite these desirable qualities, low phytic acid soybeans exhibit poor seed performance, which negatively affects germination rates and yield and has prevented their large-scale commercial production. Thus, part of the focus of this research was investigating the effects of mutations conferring the low phytic acid phenotype on seed germination. Comparative studies between low and normal phytic acid soybean seeds were carried out and revealed distinct differences in metabolite profiles and in the transcriptional regulation of biological pathways that may be vital for successful seed germination. The final part of this research concerns Rsv3-mediated extreme resistance, a unique mode of resistance that is effective against the most virulent strains of Soybean mosaic virus. The molecular mechanisms governing this type of resistance are poorly characterized. Therefore, the research presented here attempts to elucidate the regulatory elements responsible for the induction of the Rsv3-mediated extreme resistance response. Utilizing a comparative transcriptomic time series approach on Soybean mosaic virus-inoculated Rsv3 (resistant) and rsv3 (susceptible) soybean lines, this final study provides gene candidates putatively functioning in the regulation of biological pathways demonstrated to be crucial for Rsv3-mediated resistance. / Doctor of Philosophy / Soybeans are a crop of great economic importance, being a primary source of oil and protein for human and livestock consumption, respectively. Increasing demand for soybean calls for improvement in its production. An emerging field that has had tremendous impact on this endeavor is the field of functional genomics. Functional genomics approaches generate large-scale biological data that can aid in discerning how specific processes are regulated and controlled in an organism. The research presented in this work utilizes functional genomics approaches to elucidate the biological mechanisms underlying two economically important traits in soybean: seed phytic acid content and Soybean mosaic virus resistance. Phytic acid is a compound found in soybean seeds that causes nutrient deficiencies and phosphorus pollution. Soybeans with reduced to phytic acid content have been developed to mitigate these problems; they have poor seed germination and emergence. The studies in this work employ functional genomics approaches to compare unique sets of low and normal phytic acid soybeans to help establish the relationship between seed phytic acid content and seed performance. These studies resulted in new and promising hypotheses for future studies on investigating the low phytic acid trait. The final focus of this work used a functional genomics approach to discern the molecular mechanisms underlying a unique mode of resistance to Soybean mosaic virus. The study identified genes in soybean that are potentially critical to resistance against Soybean mosaic virus.

La transcriptómica estudia el nivel de expresión de los genes en distintas condiciones experimentales para tratar de identificar los genes asociados a un fenotipo dado así como las relaciones de regulación entre distintos genes. Los datos ómicos se caracterizan por contener información de miles de variables en una muestra con pocas observaciones. Las tecnologías de alto rendimiento más comunes para medir el nivel de expresión de miles de genes simultáneamente son los microarrays y, más recientemente, la secuenciación de RNA (RNA-seq). Este trabajo de tesis versará sobre la evaluación, adaptación y desarrollo de modelos estadísticos para el análisis de datos de expresión génica, tanto si ha sido estimada mediante microarrays o bien con RNA-seq. El estudio se abordará con herramientas univariantes y multivariantes, así como con métodos tanto univariantes como multivariantes. / Tarazona Campos, S. (2014). Statistical methods for transcriptomics: From microarrays to RNA-seq [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/48485 / Premios Extraordinarios de tesis doctorales

Thesis advisor: Marc-Jan Gubbels / Thesis advisor: Sarah McMenamin / Toxoplasma gondii, an obligate intracellular parasite, infects nearly one-third of the global population, causing the disease toxoplasmosis. Despite its significant health impact, the molecular mechanisms governing its lytic cycle and stress-induced adaptation remain incompletely understood. The unique asexual cell division mechanism, endodyogeny, used by T. gondii to expand its parasitic biomass in intermediate hosts, including humans, leads to severe pathological consequences through repeated rounds of the lytic cycle, resulting in acute toxoplasmosis. The parasite’s cell cycle is characterized by a prolonged G1 phase, with centrosome duplication marking the onset of the S phase, followed by a transient G2 phase and a near-simultaneous onset of mitosis and cytokinesis. These overlapping division processes, coupled with the challenges of synchronizing T. gondii, obscure the precise molecular mechanisms of its transcriptional programs. To address these challenges, we employed single-cell RNA sequencing (scRNA-seq) and single-cell ATAC sequencing (scATAC-seq), combined with advanced machine learning tools, to reveal ‘transition points’ in gene expression and chromatin accessibility that correspond to shifts in biological activity during the lytic cycle. RNA velocity and time-course clustering analyses uncovered a significant G1a transcriptional burst and identified specific AP2 family transcription factors (TFs) that peak during the C-to-G1a transition, likely driving this burst to regulate G1 progression. Further, we conducted an in-depth functional characterization of G1-specific TFs, focusing on AP2XII-8, which plays a critical role in activating a ribosome regulon to promote G1 progression. The study identified combinatorial binding motifs and suggested the existence of a large AP2XII-8 protein complex, involving other TFs and epigenetic factors, that reuglates the intricate processes of T. gondii cell cycle replication. Additionally, we examined stress-responsive AP2 TFs associated with enhanced virulence during in vitro evolution, providing insights into adaptive mechanisms that enable T. gondii to thrive under extracellular stress conditions. Collectively, these findings enhance our understanding of T. gondii’s complex regulatory networks, offering potential targets for therapeutic intervention against acute toxoplasmosis. This dissertation provides the time-resolved transcriptional and chromatin accessibility landscapes of T. gondii’s lytic cycle, resolves transcriptional programs to DNA motifs, and identifies key regulatory elements involved in its cell cycle progression and stress response. / Thesis (PhD) — Boston College, 2024. / Submitted to: Boston College. Graduate School of Arts and Sciences. / Discipline: Biology.