Upland cotton, Gossypium hirsutum L., is a natural source of fiber and a major row crop in the US with an estimated $7 billion raw product value in 2019. However, it is extremely sensitive to the broadleaf herbicide 2,4-dichlorophenoxyacetic acid (2,4-D). With the evolution of herbicide-resistant weeds compounded by off-target spray damage on conventional cotton varieties outside the transgenic Enlist technology (Dow Agrosciences) of herbicide-tolerant cotton varieties (Dow Agrosciences), there is a need to identify and develop novel sources of herbicide tolerance gene for upland cotton genetic improvement. Cotton chromosome substitution (CS) lines carry introgressions from other cultivated and wild allotetraploid Gossypium species that could be sources of novel and exotic alleles for herbicide tolerance. A total of 50 CS lines of G. barbadense L. (CS-B), G. tomentosum Nuttal ex Seeman (CS-T), and G. mustelinum Meers ex Watt (CS-M), in the genetic background of G. hirsutum L. Texas Marker-1 (TM-1) were screened for resistance to a field-recommended rate (1.12 kg ae ha-1) of 2,4-D in the greenhouse. Seven CS lines, CS-T04-15, CS-B12, CS-B15sh, CS-T04, CS-B22sh, CS-T07, and CS-B04-15 with the lowest injury were evaluated for tolerance at four and seven weeks after seedling emergence under field conditions. Progeny tests conducted in the greenhouse validated 2,4-D tolerance of CS-B15sh, showing 41% lower injury than TM-1. Novel variants of CS-T04-15 and CS-T07 were identified with complete tolerance to the herbicide but are segregating. Uptake and translocation of 14C-labeled 2,4-D indicated that reduced translocation of 2,4-D may be the 2,4-D tolerance mechanism in CS-T04-15 and CS-T07, while gene(s) associated with metabolism and reduced auxin transport appeared associated with the 2,4-D tolerance in CS-B15sh. Transcriptome analysis revealed differential expression of genes in 2,4-D-treated CS-B15sh and TM-1 with several components of the 2,4-D/auxin response pathway, including ubiquitin E3 ligase, PB1|AUX/IAA, ARF transcription factors, and F box proteins of the SCFTIR1/AFB complex being up-regulated. Functional annotation of differentially expressed genes revealed down-regulation of auxin transport, suggesting a potential linkage with tolerance mechanism involving altered movement of 2,4-D in CS-B15sh. The selected highly tolerant cotton CS lines will need to be confirmed further using molecular assays.

Psychiatric disorders are believed to result from the combination of genetic predisposition and many environmental triggers. While the large number of disease-associated genetic variations have been recognized by previous genome-wide association studies (GWAS), the role of epigenetic mechanisms that mediate the effects of environmental factors on CNS gene activity in the etiology of most mental illnesses is still largely unclear. A growing body of evidence suggested that the abnormalities (changes in gene expression, formation of neural circuits, and behavior) involved in most psychiatric syndromes are preserved by epigenetic modifications identified in several specific brain regions. In this thesis, we developed the second generation of one of our microfluidic technologies (MOWChIP-seq) and used it to profile genome-wide histone modifications in three mental illness-related biological studies: the effect of psychedelics in mice, schizophrenia, and the effect of maternal immune activation in mice offspring. The second generation of MOWChIP-seq was designed to generate histone modification profiles from as few as 100 cells per assay with a throughput as high as eight assays in each run. Then, we applied the new MOWChIP-seq and SMART-seq2 to profile the histone modification H3K27ac and transcriptome, respectively, using NeuN+ neuronal nuclei from the mouse frontal cortex after a single dose of psychedelic administration. The epigenomic and transcriptomic changes induced by 2,5-Dimethoxy-4-iodoamphetamine (DOI), a subtype of psychedelics, in mouse neuronal nuclei at various time points suggest that the long-lasting effects of the psychedelic are more closely related to epigenomic alterations than the changes in transcriptomic patterns. Next, we comprehensively characterized epigenomic and transcriptomic features from the frontal cortex of 29 individuals with schizophrenia and 29 individually matched controls (gender and age). We found that schizophrenia subjects exhibited thousands of neuronal vs. glial epigenetic differences at regions that included several susceptibility genetic loci, such as NRXN1, RGS4 and GRIN3A. Finally, we investigated the epigenetic and transcriptomic alterations induced by the maternal immune activation (MIA) in mice offspring's frontal cortex. Pregnant mice were injected with influenza virus at GD 9.5 and the frontal cortex from mice pups (10 weeks old) were examined later. The results offered us some insights into the contribution of MIA to the etiology of some mental disorders, like schizophrenia and autism. / Doctor of Philosophy / While this field is still in its early stage, the epigenetic studies of mental disorders present promise to expand our understanding about how environmental stimulates, interacting with genetic factors, contribute to the etiology of various psychiatric syndromes, like major depression and schizophrenia. Previous clinical trials suggested that psychedelics may represent a promising long-lasting treatment for patients with depression and other psychiatric conditions. These research presented the therapeutic potential of psychedelic compounds for treating major depression and demonstrated the capability of psychedelics in increasing dendritic density and stimulating synapse formation. However, the molecular mechanism mediating the clinical effectiveness of psychedelics remain largely unexplored. Our study revealed that epigenomic-driven changes in synaptic plasticity sustain psychedelics' long-lasting antidepressant action. Another serious mental illness is schizophrenia, which could affect how an individual feels, thinks, and behaves. Like most other mental disorders, schizophrenia results from a combination of genetic and environmental causes. Epigenetic marks allow a dynamic impact of environmental factors, including antipsychotic medications, on the access to genes and regulatory elements. Despite this, no study so far has profiled cell-type-specific genome-wide histone modifications in postmortem brain samples from schizophrenia subjects or the effect of antipsychotic treatment on such epigenetic marks. Here we show the first comprehensive epigenomic characterization of the frontal cortex of 29 individuals with schizophrenia and 29 matched controls. The process of brain development is surprisingly sensitive to a lot of environmental insults. Epidemiological studies have recognized maternal immune activation as a risk factor that may change the normal developmental trajectory of the fetal brain and increase the odds of developing a range of psychiatric disorders, including schizophrenia and autism, in its lifetime. Given the prevalence of the coronavirus, uncovering the molecular mechanism underlie the phenotypic alterations has become more urgent than before, for both prevention and treatment.

Switchgrass is a C4 perennial grass that is currently being developed for use as a second generation lignocellulosic biofuel crop. For switchgrass to be fully utilized as a bioenergy crop, large-scale plantings of elite switchgrass germplasm, possibly in monoculture, are likely to occur. This practice may increase the selection pressure on plant pathogens, such as switchgrass rust, which could result in devastating disease epidemics. The identification and deployment of quantitative trait loci (QTLs) and major plant disease resistance genes (R) in switchgrass breeding programs could offer broad spectrum and durable disease resistance in commercial switchgrass cultivars. 'Alamo', a lowland cultivar, is generally resistant to switchgrass rust whereas 'Dacotah', an upland cultivar, is highly susceptible. I hypothesized that major R genes and/or QTLs were contributing to the differences in disease phenotypes of these two cultivars. In this dissertation, bioinformatics and molecular biology approaches were employed to dissect the genetic mechanisms underlying switchgrass rust disease resistance. Novel pseudo-F2 mapping populations were created from a cross derived from 'Alamo' and 'Dacotah'. RNA-sequencing of the pseudo-F2 progenies of 'Alamo' x 'Dacotah' was used to construct a genetic linkage map and to identify potential QTLs correlating with disease resistance. In addition, a homology-based computational method was used to identify 1,011 potential NB-LRR R genes in the switchgrass genome (v 1.1). These potential R genes were characterized for polymorphism and expression differences between 'Alamo' and 'Dacotah'. Moreover, I found that some NB-LRR genes are developmentally regulated in switchgrass. One of the major objectives of switchgrass breeding programs is to develop cultivars with improved feedstock quality; however, changes in the components of the plant cell wall may affect disease resistance. I hypothesized that genetically modified switchgrass plants with altered cell wall components will respond differently than the wild-type to switchgrass rust. Transgenic switchgrass plants overexpressing AtSHN3, a transcription factor with known functions in epicuticular wax accumulation and cell wall deposition, were created. I found that AtSHN3-overexpressing transgenic switchgrass lines were more susceptible than wild-type plants in their response to switchgrass rust. Overall, the results of this dissertation provide a platform for elucidating the molecular mechanisms underlying resistance of switchgrass to switchgrass rust. These findings will help breeders create switchgrass cultivars with improved disease resistance, and will ultimately allow switchgrass to be used for sustainable biomass production. / Ph. D.

Räumliche Transkriptomik-Sequenzierungstechniken werden bei der Untersuchung von RNA in komplexen Geweben immer populärer. Mit diesen neuartigen Ansätze wird die Häufigkeit von Transkripten unter Beibehaltung ihrer räumlichen Lage gemessen, und ermöglichen so die Untersuchung der Genexpression in einem unvoreingenommen, raumzeitlichen Kontext. Angesichts der Vielfalt der zugrunde liegenden experimentellen Techniken, die Datensätze, die von verschiedenen Transkriptomik-Assays erstellt werden, variieren stark. Diese Datensätze werden von Pipelines verarbeitet und analysiert, die speziell für die jeweilige Methode entwickelt sind. Sie sind weder einfach modifizierbar, noch erweiterbar, dadurch sind sie nicht mit Inputs anderer Technologien kompatibel. Hier wird spacemake vorgestellt, eine bioinformatische Software, die darauf abzielt, die Lücke zwischen den verschiedenen räumlichen transkriptomischen Sequenzierungsansätzen zu schließen, durch sie einheitliches, schnelles, modulares, reproduzierbares und erweiterbares Rahmenwerk für die Verarbeitung und Analyse groß angelegter räumlicher transkriptomischer Daten bietet. Spacemake verarbeitet erfolgreich Daten aus den neuesten räumlichen Transkriptomik-Assays, unabhängig von ihrer Inputs. Spacemake ist parallel und läuft im Vergleich zu anderen vergleichbaren Techniken schneller. Spacemake ist modular entwickelt, und bietet verschiedene Module wie automatisiertes Clustering und Analyse, Quality Control, Saturation Analyse durch Downsampling, Zusammenführung technischer Replikate, Integration von scRNA-seq-Daten und Alignment von Mikroskopiebildern. Um ein Höchstmaß an Flexibilität zu bieten, ermöglicht spacemake benutzerkonfigurierbare Einstellungen\textit{run-mode} Einstellungen, wodurch die Unterstützung einer breiten Palette experimenteller Designs gewährleistet wird. Da spacemake in Python geschrieben ist, lässt es sich gut mit anderen Computational Biologie Methoden integrieren. Insgesamt hat spacemake das Potenzial, ein wichtiger Bestandteil der räumlichen Transkriptomik-Toolbox der Gegenwart und Zukunft zu sein. / Spatial transcriptomics sequencing techniques are increasingly popular when studying RNA in complex tissues. These novel approaches measure the abundance of transcripts while retaining their spatial location information, thus allowing the study of gene expression in an unbiased, spatiotemporal context. Given the variety of the underlying experimental techniques, the datasets which are produced by each spatial transcriptomic assay also vary greatly. These datasets are processed and analyzed by pipelines tailored specifically for each method, and are not easily modifiable nor extendable, thus making them incompatible to work with inputs from other technologies. Here spacemake is introduced, a bioinformatic software that aims to close the gap between the various spatial transcriptomic sequencing approaches, by providing a unified, fast, modular, reproducible, and extendable framework for large-scale spatial transcriptomic data processing and analysis. Spacemake successfully processes data from the latest spatial transcriptomics assays, regardless of their input data structure. Spacemake is parallel and runs faster when compared with other similar methods. It has a modular design and offers several modules such as automated clustering and analysis, quality control, saturation analysis through downsampling, technical replicate merging, scRNA-seq data integration, and microscopy image alignment. To offer maximum flexibility, spacemake allows for user-configurable \textit{run-mode} settings, ensuring support for a wide range of experimental designs. Written in Python, spacemake integrates well with other computational biology solutions. Overall spacemake has the potential to be an important part of the spatial transcriptomics toolbox of the present and future.

Lampreys are primitive jawless fishes that diverged over 550 million years ago. As adults, they are either parasitic or non-parasitic. In non-parasitic species, sexual differentiation and oocyte development generally occur earlier than in parasitic species; fecundity is reduced and sexual maturation is accelerated following metamorphosis. The genes controlling ovarian differentiation and maturation in lampreys are poorly understood. This study used RNA-Seq data in the parasitic chestnut lamprey Ichthyomyzon castaneus and non-parasitic northern brook lamprey Ichthyomyzon fossor to identify suites of genes expressed during different stages of ovarian development that show different developmental trajectories with respect to ovarian differentiation and sexual maturation. For this, reference-guided and de novo assembly pipelines were designed for studying a non-model species. To test and explore the relative advantages of the pipelines, expression of insulin superfamily genes was used. This research helps to identify genes involved in lamprey ovarian development and provides insight into evolution of the insulin superfamily in vertebrates. / May 2017

Prostate cancer is the most common noncutaneous cancer among men, yet current diagnostic methods are insufficient and more reliable diagnostic markers need to be developed. The answer that can bridge this gap and enable more efficient diagnoses may lie in microRNAs. These small, single stranded RNA molecules impact protein expression at the translational level and regulate important cellular pathways. Dysregulation of these small RNA molecules can have tumorigenic effects on cells and lead to many types of cancers. Currently the Prostate-Stimulating Antigen (PSA) is used as a diagnostic marker for prostate cancer. However, many factors can elevate PSA levels such as infections and certain medications, consequently leading to false positive diagnoses and unnecessary concern and over treatment with dire outcomes for the patient. Even worse, are the chances of false negative diagnoses, which result in prostate cancer not being diagnosed until its later stages. Therefore, although the use of the PSA level has had its uses in the clinic, it has failed to sufficiently bridge the gap or to distinguish indolent from aggressive disease. It has long been suggested in the literature that microRNAs are drastically altered throughout the course of cancer progression. Here, RNA sequencing was used to identify changes in miR expression profiles diagnostic for prostate cancer patients compared to non-patient controls. The RNA sequencing results were also used to identify normalization miRs to be used as endogenous controls. Confirmatory qRT-PCR was then used to corroborate these results for the top seven dysregulated miRs found from the RNA sequencing data. Data analysis of the Area Under the Curve (AUC) of the Receiver Operating Curves (ROC) of the selected miRs exhibited a better correlation with prostate cancer (AUC Range= 0.819- 0.950) than PSA (AUC of PSA=0.667). In summary, a panel of seven miRs are proposed, many of which have prostate specific targets, which would represent a significant improvement over current testing methods.

Les impacts environnementaux dues à l'extraction minière sont considérables. C'est l'action des microorganismes, en utilisant leur métabolisme du soufre sur les déchets miniers, qui engendre les plus grands défis. Jusqu'à présent, peu de recherches ont été effectués sur les microorganismes environnementaux pour la compréhension globale de l'action du métabolisme du soufre dans une optique de prévention et de rémédiation des impacts environnementaux de l'extraction minière. Dans cette étude, nous avons étudié une bactérie environnementale, Acidithiobacillus thiooxidans, dans le but de comprendre le métabolisme du soufre selon le milieu de culture et le niveau d'acidité du milieu. Nous avons utilisé la transcriptomique à haut débit, RNA-seq, en association avec des techniques de biogéochimie et de microscopie à électrons pour déterminer l'expression des gènes codants les enzymes du métabolisme du soufre. Nous avons trouvé que l'expression des gènes des enzymes du métabolisme du soufre chez ce microorganisme sont dépendantes du milieu, de la phase de croissance et du niveau d'acidité présent dans le milieu. De plus, les analyses biogéochimiques montrent la présence de composés de soufre réduits et d'acide sulfurique dans le milieu. Finalement, une analyse par microscopie électronique révèle que la bactérie emmagasine des réserves de soufre dans son cytoplasme. Ces résultats permettent une meilleure compréhension de son métabolisme et nous rapprochent de la possibilité de développer une technique de prédiction des réactions ayant le potentiel de causer des impacts environnementaux dus à l'extraction minière. / The environmental impact of mining extraction is important. The action of microorganisms using their sulfur metabolism to metabolise compounds in mining waste contributes to reactions that may impact water quality and the environment. Few studies have been conducted on environmental microorganisms to advance the global comprehension of their sulfur metabolism in an attempt to study their impact on the environment. In this study, we cultivate an environmental bacterium, Acidithiobacillus thiooxidans, in an attempt to understand its sulfur metabolism in different growth media and at different levels of acidity. We used high-throughput RNA sequencing in association with sulfur biogeochemistry and electron microscopy to determine the expression of the genes encoding sulfur metabolism enzymes. The expression of genes encoding sulfur metabolism enzymes was media and pH-dependent. Also, the biogeochemical analysis showed the presence of reduced sulfur intermediates and of sulfuric acid in the medium. Finally, an electron microscopic analysis revealed that the bacteria stock sulfur in the cytoplasm. These results resulted in a better comprehension of its sulfur metabolism and it opens the possibility to predict reactions in mining operations that have impact on the environment.

Chronic Lymphocytic Leukemia (CLL) is a type of cancer that affects the B cells of the immune system causing problems in the process of producing antibodies. It can be sorted into mutated and unmutated CLL based on the percentage of somatic mutations in the Immunoglobulin Heavy chain Variable region (IgHV). The B cells of healthy individuals can be sorted into three groups; CD27dull memory B cells (MBCs), CD27bright MBCs and naïve B cells. The hypothesis for the project was that the unmutated CLL subset originates from CD27dull MBCs and the mutated CLL subset originates from CD27bright MBCs. RNA-sequencing data from healthy individuals were acquired from a collaboration partner in Rome and CLL-patients were collected from public datasets available online. Several bioinformatic tools were used to analyze the data. First, the quality of the data files was checked, then adapter sequence from the sequencing process and low-quality bases were removed (trimming). Good quality of the files was confirmed after the trimming. Secondly, these files were mapped against the human reference genome (GRCh38/hg38) for alignment, then the resulted data was used to check for genes that showed differential expression between the different groups. Results were analyzed and visualized using Venn diagrams, Principal Component Analysis (PCA) and heatmap plots and random forest. A list of 85 genes was generated based on the different comparisons and was used in one PCA plot that showed clear separation between the different groups. The SWAP70 gene was analyzed for single nucleotide polymorphisms (SNPs). The study concluded five genes that could be used as biomarkers for CLL and the diagnosis of its subtypes where some of them were discussed in previous studies. Also, the mutated CLL subset showed a similar behavior to the healthy individuals and this could validate the original hypothesis and justifies the better disease prognosis for this subtype.

Apesar dos avanços dos últimos anos, a reposição de cardiomiócitos permanece como um dos maiores desafios da medicina regenerativa. A comprovação da existência de mecanismos endógenos de proliferação cardíaca nos impulsionou a buscar o entendimento dos eventos moleculares envolvidos na proliferação de cardiomiócitos na vida pós-natal. Neste trabalho foi testada a hipótese da influência do metabolismo energético mitocondrial na cardiomiogênese, e seu impacto na regeneração cardíaca. No primeiro momento, foi descrito pela primeira vez o modelo de ressecção apical cardíaca em ratos neonatos. Demonstrou-se que há um período restrito as primeiras 24 horas de vida em que o animal é capaz de regenerar o tecido cardíaco, formando novos cardiomiócitos e permitindo a manutenção da função cardíaca na vida adulta. Esta capacidade é perdida 7 dias após o nascimento, havendo apenas reparo com tecido fibroso e prejuízo à função cardíaca. De maneira interessante, os dados apontaram para hipoperfusão da região apical em ambos os animais ressectados. Isso possivelmente acarretou em dano mitocondrial na vida adulta, sem influenciar a função cardíaca. De maneira a investigar os eventos moleculares da regeneração cardíaca neonatal foi realizado o sequenciamento de RNA dos corações de ratos neonatos de 1 e 7 dias de vida, ressectados e sham, pela técnica de RNASeq, que apontou a relevância da idade nas diferenças de expressão de genes relacionados ao metabolismo, sendo que a intervenção da ressecção pouco influenciou o perfil de expressão gênica. Os resultados mostraram a troca de expressão de isoformas da via glicolítica com a maturação pós-natal, e a hiper-regulação da expressão de genes das vias da ?-oxidação, fosforilação oxidativa e ciclo do ácido tricarboxílico durante o mesmo período. Entretanto, os dados funcionais da atividade metabólica do tecido cardíaco e cultura de cardiomiócitos neonatais mostraram que tanto a glicólise anaeróbia quanto o consumo de oxigênio relacionado à oxidação mitocondrial estiveram elevados no neonato de 1 dia, e foram reduzidos com o desenvolvimento cardíaco. As elevadas taxas de consumo de oxigênio nas culturas de cardiomiócitos de 1 dia de vida foram relacionadas principalmente à produção de ATP. Esses cardiomiócitos foram capazes de proliferar em cultura na presença de soro como estimulador. Assim sendo, as análises de expressão gênica sozinhas pareceram ser indicadores parciais do estado funcional do metabolismo. A inibição não letal da fosforilação oxidativa evidenciou a importância do metabolismo mitocondrial na capacidade proliferativa dos cardiomiócitos na vida pós-natal. Os dados sugerem que o primeiro dia após o nascimento abrange uma alta demanda energética tanto para a diferenciação terminal quanto para a última fase robusta de proliferação de cardiomiócitos na vida pós-natal, e assim evidenciam a importância do metabolismo mitocondrial no processo regenerativo / Despite advances in recent years, the replacement of cardiomyocytes remains one of the biggest challenges in regenerative medicine. The existence of endogenous mechanisms of cardiac proliferation prompted us to seek the understanding of molecular events involved in cardiomyocyte proliferation in postnatal life. In this study, we investigated the influence of mitochondrial energy metabolism in cardiomyogenesis, and its impact on cardiac regeneration. At first, it was described for the first time the model of heart apical resection in neonatal rats, where there is a limited period the first 24 hours of life that animal is able to regenerate cardiac tissue, forming new cardiomyocytes and allowing the maintenance cardiac function in adulthood. This ability is lost seven days after birth, when repair is basically by fibrotic tissue and consequent impairment for heart function. Interestingly, data showed hypoperfusion of the apical region in both resected animals, which possibly resulted in mitochondrial damage in adulthood without affecting heart function. In order to investigate the molecular events of neonatal cardiac regeneration was performed RNA sequencing of hearts from newborn rats with 1 and 7 days of life, resected and sham, which pointed out the importance of age in the different expression of genes related to metabolism, and the intervention of resection had little influence on this. The results showed exchange of expression of enzymes isoforms from glycolytic pathway and hyperregulation of genes from beta-oxidation, oxidative phosphorylation and tricarboxylic acid cycle pathways, during postnatal maturation. However, the functional data of the metabolic activity of cardiac tissue and culture of neonatal cardiomyocytes showed that both anaerobic glycolysis and oxygen consumption related to mitochondrial oxidation were higher in 1-day-old newborns, and were reduced with cardiac development. The high rates of oxygen consumption in 1-day-old cardiomyocytes were related mainly to ATP production. These 1-day-old cardiomyocytes were able to proliferate in culture by serum stimulation. Therefore, the analysis of gene expression alone appeared to be a partial indicator of functional state of metabolism. The non-lethal inhibition of oxidative phosphorylation highlighted the importance of mitochondrial metabolism in the proliferative capacity of cardiomyocytes in postnatal life. Data suggest that the first day after birth covers a high energy demand for both terminal differentiation of cardiac cells and last robust phase of cardiomyocyte proliferation in postnatal life, and show the importance of mitochondrial metabolism in the regenerative process

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