Diplodia ear rot caused by the fungus Stenocarpella maydis (Berkeley) and Stenocarpella macrospora (Earle) have become one of the most important limiting factors for the production of Corn (Zea mays L.) in Brazil. The fungus can attack the stalks, leaves and the grain causing significant reductions on yield and the overall quality of the grain, since it can produce micotoxinas that are dangerous to livestock. Resistance to ear rot by Stenocarpella sp in corn is quantitative and highly influenced by the environment and even that artificial inoculation techniques are available to screen for the disease the overall cost is very expensive. The objective of this study was the identification of quantitative trait loci (QTL s) associated with ear rot resistance by Stenocarpella sp in one breeding population composed of 141 doublehaploid progenies resulted from the cross among the resistant inbred MONDR1 and the susceptible inbred MONDS1 in testcrosses with the susceptible tester MONDS5. Testcrosses were evaluated at harvest time after artificial inoculation for ear rot at three different locations in the central region of Brazil during the 2005/06 summer season. Thru Composite interval mapping (CIM), a total of three QTL s (LOD>2.5) for ear rot resistance were identified at chromosomes 2, 3 and 5, all together accounting for up 26% of total phenotypic variation for this character. The identification of two QTL s for ear rot resistance coming from the susceptible parent MONDS1 appear to indicate the presence of the phenomena of transgressive segregation. Additionally we were able to identify six double-haploid progenies with high level of resistance to ear rot by Stenocarpella (MDH15, MDH443, MDH95, MDH2, MDH120 e MDH81), being those recommended for their incorporation into the breeding program as new breeding sources for the Central Brazil regions. / Grãos ardidos causados pelos fungos Stenocarpella maydis (Berkeley) e Stenocarpella macrospora (Earle) tem se constituído num dos maiores fatores limitantes para a produção de milho (Zea mays L.) no Brasil. Estes fungos podem causar infecções no colmo, folhas e grãos, podendo ocasionar reduções significativas na produtividade e na qualidade do grão, pela produção de micotoxinas daninhas para aves e bovinos. A resistência para podridão de grão por Stenocarpella sp apresenta herança quantitativa e pode ser altamente influenciada pelo meio ambiente, e embora existam técnicas de inoculação que facilitam a discriminação de materiais suscetíveis, isto requer de grande quantidade de recursos. O objetivo do presente trabalho foi à identificação de locos de caracteres quantitativos (QTL) associados à resistência para podridão de grãos ( grãos ardidos ) ocasionados por Stenocarpella sp numa população de 141 progênies duplo-haplóides derivadas do cruzamento entre a linhagem resistente MONDR1 e a linhagem susceptível MONDS1 em testcross com o testador susceptível MONDS5. A porcentagem de espigas infectadas por Stenocarpella sp foi registrada para cada uma das testcrosses apos da inoculação artificial em três localidades na região Central de Brasil durante a Safra agrícola 2005/06. Mediante a análise de mapeamento por intervalo composto foram identificados três QTL s com LOD>2.5 para resistência à grãos ardidos nos cromossomos 2, 3 e 5, sendo estes em conjunto, responsáveis por ate 26% de variação fenotípica para este caráter. A identificação de dois QTL s para resistência a grãos ardidos por Stenocarpella sp com origem no progenitor susceptível parece indicar a presença do fenômeno de segregação transgressiva. Adicionalmente foram identificadas seis progênies duplohaplóides com alto nível de resistência a grãos ardidos (MDH15, MDH443, MDH95, MDH2, MDH120 e MDH81), sendo estas recomendadas para sua incorporação no programa de melhoramento para a região central do Brasil. / Mestre em Genética e Bioquímica

Neste estudo, investigamos o envolvimento de galectina-3 na fisiologia e no câncer de tiróide usando vários modelos biológicos e metodologias. Observamos que o gene LGALS3 apresenta um SNP no códon 98, mas não observamos correlação entre os genótipos deste SNP e fenótipo de câncer de tiróide. Na linhagem de tiróide de rato PCCl3, mostramos que a indução da expressão do oncogene RET/PTC promove o aumento da expressão de galectina-3, no entanto, a expressão de galectina-3, por si só, não confere vantagem de proliferação à célula. Por outro lado, na linhagem de carcinoma papilífero de tiróide TPC-1, a galectina-3 contribui para a sobrevivência da célula tumoral e progressão do ciclo celular, aumentando a expressão de c-Myc, diminuindo a expressão de p21 e caspase-3, e favorecendo a ativação de importantes vias envolvidas no controle do ciclo celular. Além disto, em modelos in vivo e in vitro, a galectina-3 interferiu na função e diferenciação da célula folicular tiroidiana, exercendo um papel indireto na regulação da expressão da tireoglobulina e atividade de TTF-1. / In this study, we investigate the involvement of galectin-3 in thyroid physiology and cancer using several biological models and methodologies. We observed that LGALS3 gene presents a SNP in codon 98, but no correlation between the genotype and the phenotype of benign or malignant thyroid tumor was observed. In the rat thyroid cell line PCCl3, we showed that the conditional induction of RET/PTC oncogene expression promotes the increase of galectin-3 expression, however, galectin-3 expression itself did not confer a proliferative advantage to cell. On the other hand, in papillary thyroid carcinoma cell line TPC-1 the galectin-3 contributes to tumor cell survival and cell cycle progression, increasing c-Myc expression, decreasing p21 and caspase-3 expression and cooperating to activation of important signaling pathways which are involved in the cell cycle control. In addition, in vitro and in vivo models the galectin-3 interferes in the differentiation and function of thyroid follicular cell, playing an indirect role in the regulation of thyroglobulin expression and TTF-1 activity.

No description available.

The ability to identify germplasm and select traits accurately is fundamental to successful plant breeding. Pedigrees and molecular markers facilitate these processes; however misleading experimental results can occur when incorrect relationships and/or cultivar names are recorded. Molecular markers can identify these inconsistencies, and with advances in genotyping technology these diagnostics can be done faster and more objectively. This study aimed to develop molecular marker assays and graphical genotyping methodologies for cultivar identification, seed purity assessment and trait selection in oat (Avena sativa L.). KBioscience’s Allele-Specific PCR (KASP™) and genotyping-by-sequencing (GBS) technologies were applied to a set of current Canadian oat cultivars to evaluate their utility for identifying cultivars and detecting intra-cultivar variation. Both KASP™ and GBS detected different extents of heterogeneity among a set of 160 seeds that originated from four seed sources of four cultivars. In both cases, the detected variation did not appear to be limited to a specific cultivar or seed source, reinforcing that all cultivars are heterogeneous. Graphical genotyping localized heterogeneity to specific chromosome regions, thereby distinguishing physical contamination from true genetic heterogeneity and heterozygosity. Pre-existing genotype data for 700 oat cultivars and breeding lines were also used to construct graphical genotypes for pedigree validation and discovery of potential sources for favourable quantitative trait loci (QTL) alleles. This methodology used historical QTLs and anchoring markers to identify 25 putative “high oil” allele carriers. The results from this study will provide diagnostic tools for cultivar identification and pedigree validation, in addition to meaningful information about existing heterogeneity and possible QTL locations in current cultivars.

Background: A large number of human inherited and acquired diseases and phenotypes are caused by mutations in G protein-coupled receptors (GPCR). Genome-wide association studies (GWAS) have shown that variations in the ADGRD1 (GPR133) locus are linked with differences in metabolism, human height and heart frequency. ADGRD1 is a Gs protein-coupled receptor belonging to the class of adhesion GPCRs. Results: Analysis of more than 1000 sequenced human genomes revealed approximately 9000 single nucleotide polymorphisms (SNPs) in the human ADGRD1 as listed in public data bases. Approximately 2.4 % of these SNPs are located in exons resulting in 129 non-synonymous SNPs (nsSNPs) at 119 positions of ADGRD1. However, the functional relevance of those variants is unknown. In-depth characterization of these amino acid changes revealed several nsSNPs (A448D, Q600stop, C632fs [frame shift], A761E, N795K) causing full or partial loss of receptor function, while one nsSNP (F383S) significantly increased basal activity of ADGRD1. Conclusion: Our results show that a broad spectrum of functionally relevant ADGRD1 variants is present in the human population which may cause clinically relevant phenotypes, while being compatible with life when heterozygous.

Colorectal cancer (CRC) is a major public health problem worldwide. Despite improvements in the diagnostic process and advancement in the treatment methods, the prognosis remains poor. To improve survival rates, it is important to identify people with the predisposition for CRC and to detect the potentially curable early stage of the disease. Furthermore, identifying those who would have an adverse clinical outcome associated with a particular chemotherapy would help to avoid redundant chemotherapy burden in patients and contribute to enhanced therapeutic efficacy, while minimizing treatment-related toxicity. The aim of the Thesis was to search for novel promising diagnostic, prognostic and predictive DNA-based biomarkers of sporadic form of CRC. As each patient is genetically unique, these biomarkers would aid clinicians in better diagnosis and/or in the selection of an optimal type of therapy for an individual CRC patient based on their molecular profile. In order to explore this issue, we investigated several candidate genes in healthy individuals as well as in newly diagnosed cancer patients. The major outcomes of this PhD study, which were fully reported in seven publications included in the present Thesis, are 1) The observation of several candidate single nucleotide polymorphisms in microRNA...

Genomic integrity is important for living cells' correct functioning and propagation. Deoxyribonucleic acid as a molecule is a subject to chemical reactions with agents that can come from environment as well as from internal metabolism processes. These reactions can induce damage to DNA and thus compromise the genetic information, and result in disease and death of an organism. To mitigate the damage to DNA, cells have evolved to have multiple DNA repair pathways. Presented here is a computational study of DNA repair genes. The structure of the Homo sapiens direct DNA repair gene ALKBH1 is predicted utilizing homology modeling methods and using AlkB and DBL proteins as templates. Analysis of the obtained structure and molecular dynamics simulations give insights into potentially functionally important residues of the protein. In particular, zinc finger domains are predicted, and lysines that could perform catalytic activities are investigated. Subsequent mutagenesis experiments revealed the effect of the residues predicted to form zinc fingers on activity of ALKBH1. Structure and dynamics of AlkD, a Bascillus cereus base excision DNA repair protein is also studied. This protein has been shown to bind DNA with large alkyl adducts and perform excision catalysis without base flipping which is characteristic to other enzymes in the same family. MD simulations of AlkD revealed that B helix, which interacts with DNA, has higher fluctuations when AlkD is not bound to DNA, and thus could have a role in binding and recognition of DNA. For the purpose of finding biomarkers and to further our understanding of a mode of action of DNA repair genes, statistical methods were applied to identify mutations that are linked to cancer phenotypes. Analysis was based on case-control studies of patients with cancers of prostate, breast, pancreas, lung as well as chronic lymphocytic leukemia from NCBI dbGAP database. Those mutations that result in missense mutations were further investigated. In particular, extensive MD simulations and experimental investigations were performed on the mutation in the ALKBH7 gene that was found to be linked to prostate cancer.

Background: Genome-wide association studies (GWAs) have identified almost one hundred genetic loci associated with variances in human blood lipid phenotypes including very low-density lipoprotein cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, total cholesterol and triglycerides. Nevertheless the revealed loci only explain a small fraction of heritability and therefore a subtile phenotype of cholesterol homoestasis was examined in our study for the very first time. Methods and Results: Using a multi-stage approach of a GWA, firstly, a genome-wide analysis (Affymetrix 500K GeneChip) for serum lanosterol and serum total cholesterol using LC-MS/MS was conducted in 1495 participants of the KORA-S3/F3 cohort with subsequent replication in two additional independent samples of the the KORA-S3/F3 cohort (n = 1157) and CARLA cohort (n = 1760). Two genetic variants, SNP rs7703051 and rs17562686, in the HMGCR locus were significantly associated with serum lanosterol and showed similar effects of elevated serum lanosterol for each minor allele (combined n = 4412: p = 1,4 x 10-10, +7,1% and p = 4,3 x 10-6, +7,8%). Furthermore, rs7703051 showed a nominal statistical significance to serum cholesterol (p = 0,04). A combined analysis of both SNPs demonstrated that observed associations of rs17562686 can be partly explained by LD with rs7703051 being the primary polymorphism in that study. Nevertheless, rs17562686 shows consistent independent effects on serum lanosterol, thus being associated to a lipid phenotype for the very first time. The following SNP-fine mapping of the HMGCR locus was carried out in the CARLA cohort with subsequent validation in the LE-Heart cohort (n = 1895). The recently published SNP rs3846662 being in tight LD with rs7703051 could be associated with variances of serum lanosterol in both cohorts and functional in vivo studies of gen expression using qRT-PCR assays demonstrated a highly significant association of higher expression of alternatively spliced HMGCR mRNA lacking exon 13 with homozygosity for the rs3846662 major allele in 51 human liver samples (p < 0,01) and 958 human PBMCs (p = 2,1 x 10-7). The overall HMGCR gen expression was not affected. Further investigation of in vivo HMG-CoA reductase enzyme activity in both human samples (n = 48 and n = 55) using anionic exchange column chromatography and scintillation counting of [3-14C]-HMG-CoA and [5-3H]-mevalonolacton did not show any significant results. In addition there was not any association in the LE-Heart cohort between these SNPs and the development of CAD. Finally, rs7703051 could be replicated for already published total cholesterol (combined n = 4412) and rs3846662 for LDL-cholesterol (LE-Heart n = 1895). Since fine mapping in CARLA showed several SNPs throughout the HMGCR locus being in LD with rs17562686 we performed a DNA sequencing of the extended 5´-HMGCR promotor region in six human liver samples. A unknown SNP was discovered in the promotor but could not be associated with any of the examined phenotypes mentioned above. The minor allele of SNP rs5909 situated next to the stop codon and being in high LD with rs17562686 was associated with elevated serum lanosterol and slightly reduced HMGCR gen expression, but further studies including the above mentioned as well as measurement of 3’-UTR transcript lengths using qRT-PCR assays did not produce significant results. Conclusion: The phenotype serum lanosterol could be associated with genetic polymorphisms (e.g. rs7703051) in the HMGCR locus. Therefore already published associations of HMGCR with total cholesterol and LDL-cholesterol can be explained by variances of cholesterol homeostasis. The SNP rs17562686 could be associated with a phenotype of human blood lipids for the very first time. Subsequent gen expression analyses demonstrated a highly significant association of rs3846662 with variant patterns of HMGCR alternative splicing. A significant effect of alternatively spliced protein on enzyme activity and a association of these SNPs with CAD could not be shown.

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.

The increase in demand for food has resulted in increased demand for tools that help streamline plant breeding process in order to create new varieties of crops. Identifying the underlying genetic mechanism of favourable characteristics is essential in order to make the best breeding decisions. In this project we have developed a modified autoencoder model which allows for lateral phenotype injection into the latent layer, in order to identify causal SNPs for phenotypes of interest in wheat. SNP and phenotype data for 500 samples of Lantmännen SW Seed provided by Lantmännen was used to train the network. Artificial phenotype created using a single SNP was used during training instead of real phenotype, since the relationship between the phenotype and SNP is already known. The modified training model with lateral phenotype injection showed significant increase in genotype concordance of the artificial phenotype when compared to the control model without phenotype injection. Causal SNP was successfully identified by using concordance terrain graph, where the difference in concordance of individual SNPs  between the modified modified model and control model was plotted against the genomic position of each SNP. The model requires further testing to elucidate its behaviour for phenotypes linked to multiple SNPs.