My dissertation research examined the effect of the cultivation of insect-resistant Bacillus thuringiensis (Bt) maize on the soil environment with a goal of understanding how to obtain a balance between technological advancement and maintenance of a healthy soil ecosystem. Although Bt plants may help to reduce pesticide use, conferring benefits to farm workers and the environment, there are still unresolved questions about how the cultivation of Bt plants affects soil organisms. For this dissertation project, I used 14 different genotypes of Bt maize and non-Bt maize (Zea mays) to investigate the effects of transgenic Bt plants on the colonization ability, abundance, and diversity of symbiotic arbuscular mycorrhizal fungi (AMF) in the soil ecosystem over time. My greenhouse studies demonstrated that Bt maize plants exhibited reduced AMF colonization across multiple Bt genotypes and that effects were most pronounced when fertilizer levels were limited and spore density was high. In addition, I found that although differences in AMF colonization between Bt and non-Bt maize were difficult to detect in the field, spore density was reduced in Bt field plots after just one growing season. When I tested the effect of plot history on AMF and plant growth, I found that Bt and non-Bt maize plants had higher leaf chlorophyll content when grown in plots previously cultivated with the same maize line as the previous year, indicative of a positive feedback effect. I also examined potential mechanisms contributing to the reduced AMF colonization observed in Bt maize in greenhouse studies and determined that follow-up experiments should continue to investigate differences in root apoplastic invertase activity and root permeability in Bt and non-Bt maize. Future investigations would also benefit from examining potential differences in root exudate profiles and volatile organic compounds between Bt and non-Bt cultivars. Taken together, my dissertation results suggest that, while difficult to detect in the field, reductions in AMF colonization in Bt maize roots may be ecologically significant as they could lead to a decrease in the abundance of AMF propagules in the soil over time, potentially impacting soil structure and function in areas where Bt crop cultivation is high.

<p>With the completion of the Human Genome Project and many additional efforts since, there is an abundance of genetic data that can be leveraged to revolutionize healthcare. Now, there are significant efforts to develop state-of-the-art techniques that reveal insights about connections between genetics and complex diseases such as diabetes, heart disease, or common psychiatric conditions that depend on multiple genes interacting with environmental factors. These methods help pave the way towards diagnosis, cure, and ultimately prediction and prevention of complex disorders. As a part of this effort, we address high dimensional genomics-related questions through mathematical modeling, statistical methodologies, combinatorics and scalable algorithms. More specifically, we develop innovative techniques at the intersection of technology and life sciences using biobank scale data from genome-wide association studies (GWAS) and machine learning as an effort to better understand human health and disease. <br> <br> The underlying principle behind Genome Wide Association Studies (GWAS) is a test for association between genotyped variants for each individual and the trait of interest. GWAS have been extensively used to estimate the signed effects of trait-associated alleles, mapping genes to disorders and over the past decade about 10,000 strong associations between genetic variants and one (or more) complex traits have been reported. One of the key challenges in GWAS is population stratification which can lead to spurious genotype-trait associations. Our work proposes a simple clustering-based approach to correct for stratification better than existing methods. This method takes into account the linkage disequilibrium (LD) while computing the distance between the individuals in a sample. Our approach, called CluStrat, performs Agglomerative Hierarchical Clustering (AHC) using a regularized Mahalanobis distance-based GRM, which captures the population-level covariance (LD) matrix for the available genotype data.<br> <br> Linear mixed models (LMMs) have been a popular and powerful method when conducting genome-wide association studies (GWAS) in the presence of population structure. LMMs are computationally expensive relative to simpler techniques. We implement matrix sketching in LMMs (MaSk-LMM) to mitigate the more expensive computations. Matrix sketching is an approximation technique where random projections are applied to compress the original dataset into one that is significantly smaller and still preserves some of the properties of the original dataset up to some guaranteed approximation ratio. This technique naturally applies to problems in genetics where we can treat large biobanks as a matrix with the rows representing samples and columns representing SNPs. These matrices will be very large due to the large number of individuals and markers in biobanks and can benefit from matrix sketching. Our approach tackles the bottleneck of LMMs directly by using sketching on the samples of the genotype matrix as well as sketching on the markers during the computation of the relatedness or kinship matrix (GRM). <br> <br> Predictive analytics have been used to improve healthcare by reinforcing decision-making, enhancing patient outcomes, and providing relief for the healthcare system. These methods help pave the way towards diagnosis, cure, and ultimately prediction and prevention of complex disorders. The prevalence of these complex diseases varies greatly around the world. Understanding the basis of this prevalence difference can help disentangle the interaction among different factors causing complex disorders and identify groups of people who may be at a greater risk of developing certain disorders. This could become the basis of the implementation of early intervention strategies for populations at higher risk with significant benefits for public health.<br> <br> This dissertation broadens our understanding of empirical population genetics. It proposes a data-driven perspective to a variety of problems in genetics such as confounding factors in genetic structure. This dissertation highlights current computational barriers in open problems in genetics and provides robust, scalable and efficient methods to ease the analysis of genotype data.</p>

Bermudagrass (Cynodon spp.) breeding and cultivar development is hampered by limited information regarding its genetic and phenotypic diversity. A germplasm collection of 206 bermudagrass accessions from 29 countries was genotyped with high-throughput genotyping-by-sequencing technique. Genomic diversity in this diverse germplasm panel was assessed with multifaceted approaches including population structure, phylogenetic analysis, principal component analysis, and genetic diversity parameters. This study revealed substantial genetic variation in the Cynodon accessions, demonstrating the potential of this germplasm panel for further genetic studies and cultivar development in breeding programs. Another critical issue in turfgrass breeding is the lack of information regarding the genetic architecture of traits. Four agronomic traits leaf length, leaf width, internode distance and stem diameter were evaluated in a germplasm panel of common bermudagrass accessions. Then genome-wide association study was performed to dissect the genetic basis of the traits.

<p>Across the tree of life, novel genes are thought to be a source of much of the unique behaviors and adaptions between the different taxa. This is especially true in the social insects where novel genes are proposed to contribute to novel social behaviors. In the honey bee (Apis mellifera L.), a group of novel genes called the major royal jelly proteins (MRJPs) are proposed to be important to the expression of novel social behaviors, particularly those related to nursing versus foraging tasks. Unfortunately, identifying the functional role of novel genes is often not possible due to a lack of functional genomic tools in non-model species such as the honey bee. Here I have developed a novel ectopic expression system in Drosophila melanogaster and used it to elucidate how the MRJPs contribute to behavioral and transcriptional changes in the insect brain. I found that the MRJPs regulated the expression of hundreds of genes in Drosophila, and these overlap with genes regulated differentially between nursing and foraging honey bees. Furthermore, I found that MRJP expression impairs or negatively regulated phototaxis. My results demonstrate the MRJPs play a role in behavioral plasticity and highlight that the MRJPs may have a much larger role in the nurse-forager transition than previously thought.</p>

Abstract The Atlantic Sturgeon (Acipenser oxyrinchus oxyrinchus, Mitchell) is an anadromous species that spawns in tidal freshwater rivers from Canada to Florida. Overfishing, river sedimentation and alteration of the river bottom have decreased Atlantic Sturgeon populations, and NOAA lists the species as endangered. Ecologists sometimes find it difficult to locate individuals of a species that is rare, endangered or invasive. The need for methods less invasive that can create more resolution of cryptic species presence is necessary. Environmental DNA (eDNA) is a non-invasive means of detecting rare, endangered, or invasive species by isolating nuclear or mitochondrial DNA (mtDNA) from the water column. We evaluated the potential of eDNA to document the presence of Atlantic Sturgeon in the James River, Virginia. Genetic primers targeted the mitochondrial Cytochrome Oxydase I gene, and a restriction enzyme assay (DraIII) was developed. Positive control mesocosm and James River samples revealed a nonspecific sequence—mostly bacteria commonly seen in environmental waters. Methods more stringent to a single species was necessary. Novel qPCR primers were derived from a second region of Cytochrome Oxydase II, and subject to quantitative PCR. This technique correctly identified Atlantic Sturgeon DNA and differentiated among other fish taxa commonly occurring in the lower James River, Virginia. Quantitative PCR had a biomass detection limit of 32.3 ug/L and subsequent analysis of catchment of Atlantic Sturgeon from the Lower James River, Virginia from the fall of 2013 provided estimates of 264.2 ug/L Atlantic Sturgeon biomass. Quantitative PCR sensitivity analysis and incorporation of studies of the hydrology of the James River should be done to further define habitat utilization by local Atlantic Sturgeon populations. IACUC: AD20127

mRNA degradation is a fundamental process that controls both the level and the fidelity of gene expression. Using a combination of bioinformatic, genomic, genetic, and molecular biology approaches, we have shown that Edc3p, a yeast mRNA decay factor, controls the stability of the intron-containing YRA1 pre-mRNA. We found that Edc3p-mediated degradation of YRA1 pre-mRNA: 1) is a component of a negative feedback loop involved in the autoregulation of YRA1, 2) takes place in the cytoplasm, 3) is independent of translation, 4) occurs through a deadenylation-independent decapping and 5΄ to 3΄ exonucleotic decay mechanism, and 5) is controlled by specific cis-acting elements and trans-regulatory factors. Cis-regulation of YRA1 pre-mRNA degradation is complicated and precise. Sequences in exon1 inhibit YRA1 pre-mRNA splicing and/or promote pre-mRNA export in a size-dependent but sequence-independent manner. Sequences in the intron dictate the substrate specificity for Edc3p-mediated decay. Five structurally different but functionally interdependent modules were identified in the YRA1 intron. Two modules, designated Edc3p-responsive elements (EREs), are required for triggering an Edc3p-response. Three other modules, designated translational repression elements (TREs), are required for repressing translation of YRA1 pre-mRNA. TREs enhance the efficiency of the response of the EREs to Edc3p by inhibiting translation-dependent nonsense-mediated mRNA decay (NMD). Trans-regulation of YRA1 pre-mRNA is governed by Yra1p, which inhibits YRA1 pre-mRNA splicing and commits the pre-mRNA to nuclear export, and the RNP export factors, Mex67p and Crm1p, which jointly promote YRA1 pre-mRNA export. Mex67p also appears to interact with sequences in the YRA1 intron to promote translational repression and to enhance the Edc3p response of YRA1 pre-mRNA. These results illustrate how common steps in the nuclear processing, export, and degradation of a transcript can be uniquely combined to control the expression of a specific gene and suggest that Edc3p-mediated decay may have additional regulatory functions in eukaryotic cells.

In Enterobacteriaceae, the transcriptional regulator AmpR, a member of the LysR family, regulates the expression of a chromosomal β-lactamase AmpC. The regulatory repertoire of AmpR is broader in Pseudomonas aeruginosa, an opportunistic pathogen responsible for numerous acute and chronic infections including cystic fibrosis. Previous studies showed that in addition to regulating ampC, P. aeruginosa AmpR regulates the sigma factor AlgT/U and production of some quorum sensing (QS)-regulated virulence factors. In order to better understand the ampR regulon, the transcriptional profiles generated using DNA microarrays and RNA-Seq of the prototypic P. aeruginosa PAO1 strain with its isogenic ampR deletion mutant, PAO∆ampR were analyzed. Transcriptome analysis demonstrates that the AmpR regulon is much more extensive than previously thought influencing the differential expression of over 500 genes. In addition to regulating resistance to β-lactam antibiotics via AmpC, AmpR also regulates non-β-lactam antibiotic resistance by modulating the MexEF-OprN efflux pump. Virulence mechanisms including biofilm formation, QS-regulated acute virulence, and diverse physiological processes such as oxidative stress response, heat-shock response and iron uptake are AmpR-regulated. Real-time PCR and phenotypic assays confirmed the transcriptome data. Further, Caenorhabditis elegans model demonstrates that a functional AmpR is required for full pathogenicity of P. aeruginosa. AmpR, a member of the core genome, also regulates genes in the regions of genome plasticity that are acquired by horizontal gene transfer. The extensive AmpR regulon included other transcriptional regulators and sigma factors, accounting for the extensive AmpR regulon. Gene expression studies demonstrate AmpR-dependent expression of the QS master regulator LasR that controls expression of many virulence factors. Using a chromosomally tagged AmpR, ChIP-Seq studies show direct AmpR binding to the lasR promoter. The data demonstrates that AmpR functions as a global regulator in P. aeruginosa and is a positive regulator of acute virulence while negatively regulating chronic infection phenotypes. In summary, my dissertation sheds light on the complex regulatory circuit in P. aeruginosa to provide a better understanding of the bacterial response to antibiotics and how the organism coordinately regulates a myriad of virulence factors.

The lifespan of an organism is determined by a complex array of genetic, environmental and nutritional factors. Yet single gene manipulations have been shown to significantly extend lifespan in several model organisms. Of all the genes that have been studied thus far, components of the insulin/IGF-1 signaling (IIS) pathway have emerged as the most robust regulators of longevity. In addition, IIS also regulates development, energy metabolism and the response to stress in a conserved manner. In Caenorhabditis elegans, signaling through this pathway is initiated by activation of the insulin/IGF-1 receptor tyrosine kinase DAF-2, which then activates a PI3-kinase signaling pathway involving additional downstream serine/threonine kinases such as PDK-1, AKT-1, AKT-2 and SGK-1. The concerted action of these kinases results in the negative regulation of the single FOXO transcription factor homolog DAF-16. Under reduced signaling conditions, active DAF-16 is able to translocate into the nucleus and regulate the expression of hundreds of genes regulating longevity, stress resistance, metabolism and development. The PTEN phosphatase homolog DAF-18, which antagonizes IIS at the level of PI3-kinase, is a major negative regulator of the pathway. However, not much was known about additional phosphatases that negatively regulated the kinases in the pathway. Dephosphorylation is a critical regulatory mechanism by which cellular signaling homeostasis is maintained. Aberrant hyper-activation of growth factor signaling pathways, including IIS, has been implicated in several cancers. In addition, deregulation of IIS is also closely linked to Type II diabetes. Therefore, the identification phosphatases that balance kinase activity will provide a better understanding of the regulation of the IIS pathway under normal as well as disease conditions. A directed RNAi screen using dauer diapause was conducted in our lab to identify serine/threonine phosphatases that modulated IIS. My work in the Tissenbaum Lab has primarily focused on characterization of the top three candidates from this screen, the genes pptr-1, pdp-1 and fem-2. From these studies, we have also uncovered novel crosstalk between the IIS and TGF-β signaling pathways. In Chapter 2, we demonstrate that PPTR-1, a PP2A phosphatase regulatory subunit negatively regulates the IIS pathway by modulating AKT-1 dephosphorylation. PPTR-1 modulates several outputs of IIS similar to DAF-18. In addition, PPTR-1 co-localizes and physically interacts with its substrate, AKT-1. PPTR-1 modulates dephosphorylation of AKT-1 at a conserved threonine site and we show the molecular conservation of this interaction in mammalian adipocytes. Ultimately, this negative regulation by PPTR-1 results in increased DAF-16 nuclear localization and transcriptional activity. Next, in Chapter 3, we show how PDP-1 is a novel link between the IIS and TGF-β signaling pathways. Similar to DAF-18 and PPTR-1, PDP-1 regulates multiple outputs of the IIS pathway and promotes DAF-16 activity. Interestingly, PDP-1 acts at the level of DAF-8 and DAF-14, two R-SMAD proteins that function in a TGF-β pathway. Our data suggests that PDP-1 may negatively regulate TGF-β signaling to downregulate the expression of several insulin(s). Without the insulin ligands, there is less activation of the IIS pathway, and DAF-16 is more active, thereby promoting transcription of genes that act to enhance longevity and stress resistance. In Chapter 4, we investigate possible crosstalk between IIS and the TGF-β signaling pathways, as the latter was previously considered as a parallel independent pathway. From our studies on PDP-1, we knew that this phosphatase, despite acting in the TGF-β pathway, was a robust modulator of multiple outputs of IIS. Using double mutant combinations as well as RNAi we unravel complex and extensive crosstalk between the two pathways. Importantly, our results suggest that DAF-16 is likely to be the most downstream component of the two pathways. In Chapter 5, we describe genetic characterization of fem-2, and its regulation of the IIS pathway. RNAi of fem-2 results in robust suppression of dauer formation, similar to pptr-1 and pdp-1 RNAi but this phenotype is only observed in the e1370 allele of daf-2. While knockdown of pptr-1 and pdp-1 suppress dauer formation of additional alleles of daf-2, fem-2 RNAi has no effect. These results reveal a complex genetic interaction between fem-2 and the daf-2 receptor. Taken together, our results identify several novel regulators of IIS that modulate this pathway by distinct mechanisms.

The alarming rate of increase in incidence and prevalence of the type 2 diabetes mellitus has prompted intense research on understanding the pathogenesis of the type 2 diabetes. It is observed that the development of type 2 diabetes is preceded by a state of insulin resistance and obesity. Previous studies have suggested that the obesity induced insulin resistance may be mediated by elevated levels of circulating free fatty acids (FFAs). The increase in circulating levels of FFAs may be contributed by the release of FFAs from stored triglycerides (TG) in adipocytes via lipolysis. It is hypothesized that the decrease in levels of circulating FFAs by sequestration and storage of FFAs in adipocytes may prevent deleterious effects of FFAs on insulin sensitivity. Recently our lab and others have shown that the storage of TG in adipocytes is promoted by a novel protein, Fat Specific Protein 27 (FSP27). Although, these studies also revealed FSP27 to be a lipid droplet associated protein that suppresses lipolysis to enhance TG accumulation in adipocytes, the role of FSP27 in lipolysis remains largely undetermined. Therefore, this study investigates the role and regulation of FSP27 in adipocytes in both the basal state, as well as during lipolysis. The studies presented here show FSP27 to be a remarkably short-lived protein (half-life=15 min) due to its rapid ubiquitination and proteasomal degradation. Thus, I tested the hypothesis that lipolytic agents like the cytokine, TNF-α and the catecholamine isoproterenol modulate FSP27 protein levels to regulate FFA release. Consistent with this concept, TNF-α markedly decreased FSP27 mRNA and protein along with lipid droplet size as it increased lipolysis in cultured adipocytes. Similarly, FSP27 depletion using siRNA mimicked the effect of TNF-α to enhance lipolysis, while maintaining stable FSP27 protein levels by expression of HA epitope-tagged FSP27 blocked TNF-α mediated lipolysis. In contrast, the robust lipolytic action of isoproterenol is paradoxically associated with increases in FSP27 protein and a delayed degradation rate that corresponds to decreased ubiquitination. This catecholamine-mediated increase in FSP27 abundance, probably a feedback mechanism to restrain excessive lipolysis by catecholamines, is mimicked by forskolin or 8-Bromo-cAMP treatment, and prevented by Protein Kinase A (PKA) inhibitor KT5720 or PKA depletion using siRNA. These results show that isoproterenol stabililizes FSP27 via the canonical PKA pathway and increased cAMP levels. However, the work presented here also suggests that FSP27 does not get phosphorylated in response to isoproterenol treatment, and the stabilization of FSP27 is independent of isoproterenol mediated lipolysis. The data presented in this thesis not only identifies the regulation of FSP27 as an important intermediate in mechanism of lipolysis in adipocytes in response to TNF-α and isoproterenol, but also suggests that FSP27 may be a possible therapeutic target to modulate lipolysis in adipocytes.