During embryogenesis, the architecture of the plant and the food reserves for seed germination are established. Abscisic acid (ABA) regulates seed development and dormancy. It controls genes involved in stress responses. ABA-responsive basic leucine zipper (bZIP) transcription factors are identified by interaction with ABA responsive cis-regulatory elements. The transcription factor ABI5 is one of these. It regulates gene expression during embryogenesis and in response to ABA. An ABA-insensitive mutant, abi5-6, exhibits no gross morphological defects other than the effect on seed germination in the presence of ABA. Thus, microarray analysis was employed to search for molecular phenotypes. We used cDNA microarrays to analyze ABA regulated gene expression and the role of ABI5 in seedlings. 310 genes were identified as ABI5/ABA regulated genes. 161 of these genes were regulated by ABI5, and 134 of ABI5-regulated genes were co-regulated by ABA. Only a small number of genes altered expression in both Pro35S:ABI5 and abi5-6 genetic backgrounds indicating the preferential binding of the bZIP protein dimers to specific promoter sequences. To determine the optimal platform for identifying ABI5-regulated genes in seeds, a cDNA microarray, the Agilent Arabidopsis Oligo microarray, and the Affymetrix ATH1 arrays were tested. Cross platform comparisons utilized 4,518 genes present on all three platforms. The best correlation was between the Agilent and the Affymetrix results. Furthermore, the Affymetrix results correlated best with qRT-PCR validation data for selected genes. A small number of genes including AtCOR413 pm-1 showed a consistent expression pattern across the three platforms. A robust ABRE cis-regulatory element was identified in the promoter of AtCOR413 pm-1. Further studies showed binding of ABI5 to the promoter of AtCOR413 pm-1 by Electrophoretic Mobility Shift Assays (EMSA) and validated the expression of ABI5 and AtCOR413 pm-1 in abi5-6 seeds by qRT-PCR and RNA gel blot analysis. Transactivation assays using AtCOR413 pm-1 promoter:GUS fusions in Arabidopsis dry seed and seedlings revealed ABI5 acts as a negative regulator for AtCOR413 pm-1 in dry seeds, while other proteins may play major roles in regulating responses to ABA and low temperature (LT) in seedlings.

Equine laminitis is a debilitating disease that causes extreme sufferring in afflicted horses and often results in a lifetime of chronic pain. The exact sequence of pathophysiological events culminating in laminitis has not yet been characterized, and this is reflected in the lack of any consistently effective therapeutic strategy. For these reasons, we used a newly developed 21,000 element equine-specific whole-genome oligoarray to perform transcriptomic analysis on laminar tissue from horses with experimentally induced models of laminitis: carbohydrate overload (CHO), hyperinsulinaemia (HI), and oligofructose (OF). Samples were collected during the developmental (DEV) and Obel grade 1 (OG1) stages of laminitis for the CHO model. For the HI model, samples were collected at the Obel grade 2 (OG2) stage. For the OF model, samples were collected at the 12 h and 24 h time points. Appropriate control samples were obtained for all models. This is the first genome-wide transcriptome analysis of laminar tissue using an equine 21,000 70-mer long oligoarray approach in CHO, HI and OF induced laminitis. Overall, we identified the differential expression of genes encoding S100 calcium binding proteins, extracellular matrix proteins, glycoproteins, transporters, olfactory receptors, genes involved in signal transduction, body‟s homeostasis, apoptosis, and immune response. Between CHO and OF models of laminitis, there were more shared genes. We discovered several common differentially expressed genes (i.e., ADAMTS1, CYCS and CXCL14) among all three models that are likely important to the pathogenesis of equine laminitis. We also discovered what appear to be central roles of apoptosis, inflammatory response, and intracellular ion homeostasis molecular processes in CHO and OF models of laminitis. Pathway analysis detected the NOD-like receptor signaling pathway, which is involved in recognition of intracellular bacteria in both the CHO and OF models of laminitis. Genetic network analysis indicated convergent pathway core molecules present in equine acute laminitis: p38 MAPK and NF-κB. Most importantly, our results of overexpression of anti-microbial genes (i.e., DEFB4, PI3, and CXCL14) suggest the central involvement of these genes in the progression of early equine laminitis and will allow refinement of current hypotheses of disease pathogenesis.

Thesis (Ph. D.)--University of California, Riverside, 2009. / Includes abstract. Available via ProQuest Digital Dissertations. Title from first page of PDF file (viewed March 16, 2010). Includes bibliographical references. Also issued in print.

Thesis (M.Sc.)--York University, 2008. Graduate Programme in Biology. / Typescript. Includes bibliographical references (leaves 185-210). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR45967

To investigate the diversities and abundances of nitrifiers and to apply the highthroughput sequencing technologies to analyze the overall microbial community structures and functions in the wastewater treatment bioreactors were the major objectives of this study. Specifically, this study was conducted: (1) to investigate the diversities and abundances of AOA, AOB and NOB in bioreactors, (2) to explore the bacterial communities in bioreactors using 454 pyrosequencing, and (3) to analyze the metagenomes of activated sludge using Illumina sequencing. A lab-scale nitrification bioreactor was operated for 342 days under low DO (0.15~0.5 mg/L) and high nitrogen loading (0.26~0.52 kg-N/(m3d)). T-RFLP and cloning analysis showed there were only one dominant AOA, AOB and NOB species in the bioreactor, respectively. The amoA gene of the dominant AOA had a similarity of 89.3% with the isolated AOA species Nitrosopumilus maritimus SCM1. The AOB species detected in the bioreactor belonged to Nitrosomonas genus. The abundance of AOB was more than 40 times larger than that of AOA. The percentage of NOB in total bacteria increased from not detectable to 30% when DO changed from 0.15 to 0.5 mg/L. Compared with traditional methods, pyrosequencing analysis of the bacteria in this bioreactor provided unprecedented information. 494 bacterial OTUs was obtained at 3% distance cutoff. Furthermore, 454 pyrosequencing was applied to investigate the bacterial communities of activated sludge samples from 14 WWTPs of Asia (mainland China, Hong Kong, and Singapore) and North America (Canada and the United States). The results revealed huge amounts of OTUs in activated sludge, i.e. 1183~3567 OTUs in one sludge sample at 3% distance cutoff. Clear geographical differences among these samples were observed. The AOB amoA genes in different WWTPs were found quite diverse while the 16S rRNA genes were relatively conserved. To explore microbial community structures and functions in the abovementioned labscale bioreactor and a full-scale bioreactor, over six gigabases of metagenomic sequence data and 150,000 paired-end reads of PCR amplicons were generated from the activated sludge in the two bioreactors on Illumina HiSeq2000 platform. Three kinds of sequences (16S rRNA amplicons, 16S rRNA gene tags and predicted genes) were used to conduct taxonomic assignment and their applicabilities and reliabilities were compared. Specially, based on 16S rRNA and amoA gene sequences, AOB were found more abundant than AOA in the two bioreactors. Furthermore, the analysis of the metabolic profiles and pathways indicated that the overall pathways in the two bioreactors were quite similar. However, the abundances of some specific genes in the two bioreactors were different. In addition, 454 pyrosequencing was also used to detect potentially pathogenic bacteria in environmental samples. It was found most abundant potentially pathogenic bacteria in the WWTPs were affiliated with Aeromonas and Clostridium. Aeromonas veronii, Aeromonas hydrophila and Clostridium perfringens were species most similar to the potentially pathogenic bacteria found in this study. Overall, the percentage of the sequences closely related to known pathogenic bacteria sequences was about 0.16% of the total sequences. Additionally, a Java application (BAND) was developed for graphical visualization of microbial abundance data. / published_or_final_version / Civil Engineering / Doctoral / Doctor of Philosophy

The astounding complexity of microbial communities limits the ability to study the role of genomic diversity in shaping the community composition at the species level. With the advancement and increased affordability of high-throughput sequencing methods, it is increasingly recognized that genomic diversity at the sub-species level plays an important role in selection during microbial community succession. Recent studies using the cpn60 universal target (UT) have shown that it is a high-resolution tool that provides superior resolution in comparison to 16S rRNA based tools and can predict genome relatedness. However, studies to characterize the nature and degree of genome content differences predicted by cpn60 UT sequence relationships have not been conducted. In this work, we focused on the Enterococcus community obtained from feces of healthy pigs. Enterococci are both accessible with selective culture, and interesting since the genus includes members that are significant human pathogens and others that are used as probiotics. Previous work has shown that cpn60 UT sequences can resolve pig fecal Enterococcus faecalis and E. hirae into phylogenetically and phenotypically distinct ecotypes. The utility of cpn60 UT sequences for resolution of Enterococcus species was first established in the year 2000, and this demonstration included 17 Enterococcus species. We have expanded the analysis to include all currently recognized Enterococcus species and confirmed that cpn60 UT sequences provide higher resolution than 16S rRNA sequences for identification of Enterococcus species. In addition, we showed that cpn60 UT sequences could resolve sub-groups in E. faecium consistent with results obtained from comparison of whole genome sequences. GTG rep PCR based clusters for E. faecalis and E. hirae isolates were generally consistent with the cpn60 defined Enterococcus ecotypes observed in our previous study, suggesting that cpn60 UT sequences predict overall genomic relationships. Results from analysis of CRISPR sequences provided insights into the extensive networking and transfer of genetic material that takes place within the intestinal Enterococcus community. We conducted whole genome sequencing of representative isolates to characterize further the genomic diversity in cpn60 defined E. hirae ecotypes to determine the nature and degree of genome content differences predicted by cpn60 UT sequences. Differences in phosphotransferase systems, amino acid metabolism pathways for glutamine, proline and selenocystiene, potassium-transporting ATPases, copper homeostasis systems and putative prophage associated sequences, CRISPRs and antibiotic resistance genes were observed. Results from in vitro growth competition assays showed that isolates from E. hirae-1 and E. hirae-2 were able to out-compete isolates from the E. hirae-3 ecotype, consistent with the relatively low abundance of E. hirae-3 relative to E. hirae-1 and E. hirae-2 previously observed in the pig fecal microbiome, and with observed gene content differences between the ecotypes. Results presented in this thesis provide a genomic basis for the definition of ecotypes within E. hirae and confirm the utility of the cpn60 UT sequence for high resolution profiling of complex microbial communities.

No description available.

Initial activities were focused on isolation and characterization of fruit ripening-related genes from tomato. Screening of four tomato cDNA libraries at low stringency with 10 fruit development and ripening-related genes yielded ~3000 positives clones. Microarray expression analysis of half of these positives in mature green and breaker stage fruits resulted in eight ripening-induced genes. RNA gel-blot analysis and previously published data confirmed expression for seven of the eight. One novel gene, designated LeEREBP1, was chosen for further characterization. LeEREBP1 encodes an AP2/ERF-domain transcription factor and is ethylene inducible. The expression profiles of LeEREBP1 parallel previously characterized ripening-related genes from tomato. Transgenic plants with increased and decreased expression of LeEREBP1 were generated and are currently being characterized to define the function of LeEREBP1. A large public tomato EST dataset was mined to gain insight into the tomato transcriptome. By clustering genes according to the respective expression profiles of individual tissues, tissue and developmental expression patterns were generated and genes with similar functions grouped together. Tissues effectively clustered for relatedness according to their profiles confirming the integrity of the approach used to calculate gene expression. Statistical analysis of EST prevalence in fruit and pathogenesis-related libraries resulted in 333 genes being classified as fruit ripening-induced, 185 as fruit ripening-repressed, and 169 as pathogenesis-related. We performed a parallel analysis on public EST data for grape and compared the results for ripening-induced genes to tomato to identify similar and distinct ripening factors in addition to candidates for conserved regulators of fruit ripening. An online interactive database for tomato gene expression data - Tomato Expression Database (TED) was implemented. TED contains normalized expression data for approximately 12,000 ESTs over ten time points during fruit development. It also contains comprehensive annotation of each EST. Through TED, we provide multiple approaches to pursue analysis of specific genes of interest and/or access the larger microarray dataset to identify sets of genes that may behave in a pattern of interest. In addition, a set of useful data mining and data visualization tools were developed and are under continuing expansion.

Small Cell Lung Cancer (SCLC) is a very aggressive neuroendocrine tumour of the lung, which demonstrates a 5 year survival of only 10% for extensive stage disease (20-30% for limited stage), with only modest improvement over the last few decades. Identification of new molecular diagnostic and therapeutic targets is thus imperative. Previous efforts in identifying molecular changes in SCLC by gene expression profiling using microarrays have facilitated disease classification but yielded very limited information on SCLC biology. Previous DNA studies have been successful in identifying several loci important to SCLC. However the low resolution of conventional chromosomal Comparative Genomic Hybridization (CGH) has limited the findings to large chromosomal regions with only a few specific candidate genes discovered to date. Thus, to further understand the biological behaviour of SCLC, better methods for studying the genomic alterations in SCLC are necessary. This thesis highlights the development of array CGH technology for the high resolution dissection of aneuploidy in cancer genomes and the application of this new technology to the study of SCLC. I present the development of the first whole genome CGH array which offered unprecedented resolution in the profiling of cancer genomes allowing fine mapping of genes in a single experiment. Through application of DNA based analysis in conjunction with integrated expression analysis and comparison of SCLC to less aggressive non-small cell lung tumours I have identified novel patterns of pathway disruption specific to SCLC. This included alteration to Wnt pathway members and striking patterns of cell cycle activation through predominantly downstream disruption of signalling pathways including direct activation of the E2F transcription factors, which are normally repressed by the Rb gene. Analysis of targets of the E2F/Rb pathway identified EZH2 as being specifically hyper-activated in SCLC, compared to NSCLC. EZH2 is a polycomb group gene involved in the control of many cellular functions including targeted DNA methylation and escape from senescence in hematopoietic stem cells. Taken together these results suggest that in SCLC, downstream disruption may replace multiple upstream alterations leading to activation independent of a specific mitogenic pathway, and that EZH2 represents a potentially important therapeutic target.

Sequencing technologies have improved significantly in the past 10 years and the staggering number of genome sequences available has led to a migration from single-gene phylogenetics to multigene phylogenetics. A protocol was developed here to compare fungal genomes through BLAST to determine which BLAST statistics may best represent phylogenetic information. The results suggested that levels of sequence identity, relative to the query length, may be useful for predicting whether a gene will yield a well-resolved and consistent tree. Moreover, it was found that about 40% of the genes in a typical filamentous fungal genome may lead to a well-resolved and concordant tree topology that also matched an 18S rDNA derived topology; but for consistent results, multigene trees with a minimum of five genes should be used. An additional script to rapidly identify regions within genes that can be easily amplified was then developed and tested on eight genes. The genes were successfully amplified and several resultant amplicon trees matched the 18S rDNA topology. / NSERC