This thesis presents results from genetic studies conducted in the chicken (Gallus gallus). The domestication of chicken is believed to have been initiated approximately 7,000 – 9,000 years ago in Southeast Asia. Since that time, selective breeding has altered the appearance of the wild ancestor, creating highly specialized chicken lines developed for egg and meat production. The first part of this thesis describes a detailed genetic analysis conducted on an F2 intercross between two phenotypically diverse chicken lines. The two parental lines used in this experiment originated from the same base population and have been developed by divergent selection for juvenile body-weight. Selection during forty generations has resulted in an eight-fold difference in body-weight between the High-Weight Selected (HWS) and Low-Weight Selected (LWS) line. In an attempt to identify the genetic factors differentiating the two lines, a large intercross population was bred to map Quantitative Trait Loci (QTL) affecting body-weight traits. A linkage map was constructed which included 434 genetic markers covering 31 of the 38 chicken autosomes. Although there is a dramatic phenotypic difference between the two founder lines, the QTL analysis for marginal effect could only identify seven QTL, each with small additive effects, influencing body-weight. We extended the genetic analysis to also include a model testing for pair-wise interactions between loci (epistasis). The analysis revealed 15 QTL pairs that affect body-weight and several of those formed a network of interacting loci. These results suggest that the genetic basis for the large difference in body-weight is most likely a result of a combined effect of multiple genetic factors, including QTL with small additive effects in combination with pair-wise interactions between QTL. The second part of this thesis presents two linkage maps. The first map constructed was of the chicken Z chromosome, the second used a genome-wide marker set, including 12,945 SNP markers, to build an updated consensus map of the chicken genome. The resulting consensus map includes 9,268 genetic markers and covers 33 chromosomes, still leaving five microchromosomes without marker coverage. The genome average rate of recombination was estimated to 3.1 cM/Mb, but varied considerably between and within chromosomes. A general trend of elevated recombination rates towards telomeric ends and lower rates near centromeres was observed. This was in concordance to previous reports from mammalian species. Recombination rates in chicken were also found to be highly positively correlated with GC-rich sequences.

Detecting mutations and genomic variations is fundamental indiagnosis, isolating disease genes, association studies,functional genomics and pharmacogenomics. The objective hasbeen to use and further develop a variety of tools andtechnologies to analyze these genetic alterations andvariations. The p53 tumor suppressor gene and short arm of chromosome 9have been used as genetic markers to investigate fundamentalquestions concerning early events preceding non-melanoma skincancers, clonal progression and timing of different mutationsand deletions. Conventional gel based DNA sequencing andfragment analysis of microsatellite markers were utilized forthis purpose. In addition, a sequence-specific PCR-mediatedartifact is discussed. Pyrosequencing, a bioluminometric technique based onsequencing-by-synthesis, has been utilized to determinemutation ratios in the p53 gene. In addition, in the case ofmultiple mutations, pyrosequencing was adopted to determineallelic distribution of mutations without the use of cloningprocedures. Exons 5 to 8 of the p53 gene were also sequenced bythis method. The possibility of typing single base variations bypyrosequencing has been evaluated. Two different nucleotidedispensation orders were investigated and data were comparedwith the predicted pattern for each alternative of the variableposition. Analysis of loss of heterozygosity was possible byutilizing single nucleotide polymorphisms. A modified allele-specific extension strategy for genotypingof single nucleotide polymorphisms has been developed. Throughthe use of a real-time bioluminometric assay, it has beendemonstrated that reaction kinetics for a mismatchedprimer-template is slower than the matched configuration,butthe end-point signals are comparable. By introduction ofapyrase, the problems associated with mismatch extensions havebeen circumvented and accurate data has been obtained. Keywords:fragment analysis, microsatellite, loss ofheterozygosity, DNA sequencing, pyrosequencing, cancer,mutation, variation, single nucleotide polymorphism,allele-specific extension, bioluminescence, apyrase. / QC 20100415

River buffalo are economically important to many countries and only recently has their genome been explored for the purpose of mapping genetic variation in traits of economic and biologic interest. The purpose of this research is to characterize the genetic and evolutionary profile of Toll-like receptor 5 (TLR5), which mediates the mammalian innate immune response to bacterial flagellin. This study is comprised of three parts: 1) generating a radiation hybrid (RH) map of river buffalo chromosome 5 (BBU5) where the TLR5 gene is located and building a comparative map with homologous cattle chromosomes; 2) conducting a single-nucleotide polymorphism (SNP) survey of the TLR5 gene to reveal variation within river buffalo and other species; and 3) performing an evolutionary study by inferring phylogenetic trees of TLR5 across multiple taxa and determining the possible evolutionary constraints within the TLR5 coding region. River buffalo chromosome 5 is a bi-armed chromosome with arms corresponding to cattle chromosomes 16 and 29. A BBU5 RH map was developed using the previously published river buffalo RH mapping panel and cattle-derived markers. The RH map developed in this study became an integral part of the first river buffalo whole genome RH map. Genetic variation of the TLR5 gene was evaluated in a small domestic herd of river buffalo. Sequencing of the TLR5 coding region and partial associated 5'- and 3'-untranslated regions yielded 16 novel SNPs. Six SNPs were identified as non-synonymous with one predicted to potentially code for a functionally altered product. For the evolutionary study of the TLR5 coding region, phylogenetic trees were inferred based on TLR5 variation across multiple orders and another for artiodactyla. Species that are closely related to river buffalo appear to have undergone negative selection in TLR5 while those that diverged from river buffalo earlier may be retaining alleles that river buffalo are removing from the population. In conclusion, putative chromosomal rearrangements were identified between river buffalo and cattle, the variation that was uncovered in the TLR5 coding region could potentially lead to differential immunity across species, and there appears be some evolutionary flexibility in the DNA sequence of the TLR5 coding region.

En els darrers anys, la important reconversió varietal ha permès una millor qualitat, més adaptada tan a les exigències de la producció com de la distribució i del consumidor. La primera generació de milloradors van posar tot el seu èmfasi en millorar les característiques comercials de la fruita com el color, la fermesa i el sabor. Tanmateix el mercat actual exigeix altres atributs de tipus organolèptic i nutricional, addicionals als anteriors. Entendre la base genètica que controla cadascun dels caràcters determinarà la nostra capacitat per obtenir uns fruits més atractius i sans per al consumidor.A la població 'Texas' × 'Earlygold' (T×E) s'han mapat 206 gens candidats (GCs) relacionats amb l'expressió dels caràcters de qualitat de la fruita (creixement i maduració del fruit, textura, color, contingut de sucres i àcids orgànics i aroma) i 18 gens al·lergògens de presseguer i/o ametller responsables de l'aparició de reaccions al·lèrgiques. La comparació entre la posició dels GCs mapats i la dels QTLs detectats ha permès trobar algunes co-localitzacions.Addicionalment, l'anàlisi comparativa entre la seqüència dels marcadors mapats a Prunus amb el mapa de la maduixa diploide i la seqüència completa de la pomera mostra elements comuns. La presència de blocs sintènics facilitarà la transferència del coneixement genètic entre les tres espècies i, a la vegada, permetrà proposar un hipotètic genoma ancestral per la família Rosaceae. / Fruit quality is a very important trait in breeding programs of rosaceous crops. In addition to attributes such as appearance, flavour, scent and texture, breeders focus more and more on crucial aspects like nutritional quality and the absence or significant reductions of allergenic compounds for fruit health and safety. Understanding the genetic basis that controls each character determines our ability to obtain more attractive and healthy fruit to consumers.In the present study 206 candidate genes (CGs) associated with the expression of the characteristics of fruit quality (growth and fruit ripening, texture, colour, sugar content and organic acids and aroma) and 18 genes peach and / or almond allergens responsible for allergic reactions have been mapped in the Prunus reference map. The comparison between the position of the CGs and the QTLs previously detected allow us to find some co-localizations.Additionally, the comparative analysis between the sequences of molecular markers that are anchored into the Prunus and Fragaria reference maps and the Malus genome sequence shows common features. The presence of syntenic blocks facilitates the transference of genetic information between the three species and, in turn, would propose a hypothetical ancestral genome for Rosaceae family. / RESUMENEn los últimos años, la importante reconversión varietal ha permitido una mejor calidad, más adaptada tanto a las exigencias de la producción como de la distribución y del consumidor. La primera generación de mejoradores puso todo su énfasis en mejorar las características comerciales de la fruta como el color, la firmeza y el sabor. Sin embargo el mercado actual exige otros atributos de tipo organoléptico y nutricional, adicionales a los anteriores. Entender la base genética que controla cada uno de los caracteres determinará nuestra capacidad para obtener unos frutos más atractivos y sanos para el consumidor.En la población 'Texas' × 'Earlygold' (T×E) se han mapeado 206 genes candidatos (GCs) relacionados con la expresión de los caracteres de calidad de la fruta (crecimiento y maduración del fruto, textura, color, contenido de azúcares y ácidos orgánicos y aroma) y 18 genes alérgenos de melocotonero y/o almendro responsables de la aparición de reacciones alérgicas. La comparación entre la posición de los GCs mapeados y la de los QTLs detectados ha permitido encontrar algunas co-localizaciones.Adicionalmente, el análisis comparativo entre la secuencia de los marcadores mapeados a Prunus con el mapa de la fresa diploide y la secuencia completa del manzano muestra elementos comunes. La presencia de bloques sinténicos facilitará la transferencia del conocimiento genético entre las tres especies y, a la vez, permitirá proponer un hipotético genoma ancestral para la familia Rosaceae.

Many of our closest relatives, the primates, are endangered and could be extinct in a near future. To increase the knowledge of non-human primate genomes, and at the same time acquire information on our own genomic evolution, studies using high-throughput technologies are applied, which raises the demand for large amounts of high quality DNA. In study I and II, we evaluated the multiple displacement amplification (MDA) technique, a whole genome amplification method, on a wide range of DNA sources, such as blood, hair and semen, by comparing MDA products to genomic DNA as templates for several commonly used genotyping methods. In general, the genotyping success rate from the MDA products was in concordance with the genomic DNA. The quality of sequences of the mitochondrial control region obtained from MDA products from blood and non-invasively collected semen samples was maintained. However, the readable sequence length was shorter for MDA products. Few studies have focused on the genetic variation in the nuclear genes of non-human primates. In study III, we discovered 23 new single nucleotide polymorphisms (SNPs) in the Y-chromosome of the chimpanzee. We designed a tag-microarray minisequencing assay for genotyping the SNPs together with 19 SNPs from the literature and 45 SNPs in the mitochondrial DNA. Using the microarray, we were able to analyze the population structure of wild-living chimpanzees. In study IV, we established 111 diagnostic nucleotide positions for primate genera determination. We used sequence alignments of the nuclear epsilon globin gene and apolipoprotein B gene to identify positions for determination on the infraorder and Catarrhini subfamily level, respectively, and sequence alignments of the mitochondrial 12S rRNA (MT-RNR1) to identify positions to distinguish between genera. We designed a microarray assay for immobilized minisequencing primers for genotyping these positions to aid in the forensic determination of an unknown sample.

GWAS mainly aim to identify variations associated with certain phenotypes or diseases. Recently the combined p-value approach is described as the next step after GWAS to map the significant SNPs to genes and pathways to evaluate SNP-gene-disease associations. Major bottleneck of standard GWAS approaches is the prioritization of statistically significant results. The connection between statistical analysis and biological relevance should be established to understand the underlying molecular mechanisms of diseases. There are few tools offered for SNP prioritization but these are mainly based on user-defined subjective parameters, which are hard to standardize. Our group has recently developed a novel AHP based SNP prioritization algorithm. Beside statistical association AHP based SNP prioritization algorithm scores SNPs according to their biological relevance in terms of genomic location, functional consequence, evolutionary conservation, and gene-disease association. This allows researchers to evaluate the significantly associated SNPs quickly and objectively. Here, we have investigated the performance of the AHP based prioritization as the next step in the utilization of the algorithm in comparison to the other available tools for SNP prioritization. The user-defined parameters for AHP based prioritization have been investigated and our suggestion on how to use these parameters are presented. Additionally, the GWAS results from the analysis of two different sets of Alzheimer Disease Genotyping data with the newly proposed AHP based prioritization and the integrated software, METU-SNP, it was implemented, is reported and our new findings on the association of SNPs and genes with AD based on this analysis is discussed.

Neisseria meningitidis is a gram negative, and sometimes encapsulated, diplococcus that causes devastating disease worldwide. For the worldwide genetic surveillance of N. meningitidis, the gold standard for profiling the bacterium uses genetic loci found around the genome. Unfortunately, the software for analyzing the data for these profiles is difficult to use for a variety of reasons. This thesis shows my suite of tools called the Meningococcus Genome Informatics Platform for the analysis of these profiling data. To better understand N. meningitidis, the CDC Meningitis Laboratory and other world class laboratories have adopted a whole genome approach. To facilitate this approach, I have developed a computational genomics assembly and annotation pipeline called the CG-Pipeline. It assembles a genome, predicts locations of various features, and then annotates those features. Next, I developed a comparative genomics browser and database called NBase. Using CG-Pipeline and NBase, I addressed two open questions in N. meningitidis research. First, there are N. meningitidis isolates that cause disease but many that do not cause disease. What is the genomic basis of disease associated versus asymptomatically carried isolates of N. meningitidis? Second, some isolates' capsule type cannot be easily determined. Since isolates are grouped into one of many serogroups based on this capsule, which aids in epidemiological studies and public health response to N. meningitidis, often an isolate cannot be grouped. Thus the question is what is the genomic basis of nongroupability? This thesis addresses both of these questions on a whole genome level.

This thesis describes the application of multivariate methods in analyses of genomic DNA sequences, gene expression and protein synthesis, which represent each of the steps in the central dogma of biology. The recent finalisation of large sequencing projects has given us a definable core of genetic data and large-scale methods for the dynamic quantification of gene expression and protein synthesis. However, in order to gain meaningful knowledge from such data, appropriate data analysis methods must be applied. The multivariate projection methods, principal component analysis (PCA) and partial least squares projection to latent structures (PLS), were used for clustering and multivariate calibration of data. By combining results from these and other statistical methods with interactive visualisation, valuable information was extracted and further interpreted. We analysed genomic sequences by combining multivariate statistics with cytological observations and full genome annotations. All oligomers of di- (16), tri- (64), tetra- (256), penta- (1024) and hexa-mers (4096) of DNA were separately counted and normalised and their distributions in the chromosomes of three Drosophila genomes were studied by using PCA. Using this strategy sequence signatures responsible for the differentiation of chromosomal elements were identified and related to previously defined biological features. We also developed a tool, which has been made publicly available, to interactively analyse single nucleotide polymorphism data and to visualise annotations and linkage disequilibrium. PLS was used to investigate the relationships between weather factors and gene expression in field-grown aspen leaves. By interpreting PLS models it was possible to predict if genes were mainly environmentally or developmentally regulated. Based on a PCA model calculated from seasonal gene expression profiles, different phases of the growing season were identified as different clusters. In addition, a publicly available dataset with gene expression values for 7070 genes was analysed by PLS to classify tumour types. All samples in a training set and an external test set were correctly classified. For the interpretation of these results a method was applied to obtain a cut-off value for deciding which genes could be of interest for further studies. Potential biomarkers for the efficacy of radiation treatment of brain tumours were identified by combining quantification of protein profiles by SELDI-MS-TOF with multivariate analysis using PCA and PLS. We were also able to differentiate brain tumours from normal brain tissue based on protein profiles, and observed that radiation treatment slows down the development of tumours at a molecular level. By applying a multivariate approach for the analysis of biological data information was extracted that would be impossible or very difficult to acquire with traditional methods. The next step in a systems biology approach will be to perform a combined analysis in order to elucidate how the different levels of information are linked together to form a regulatory network.

Notre patrimoine génétique dévoile, de plus en plus, les passerelles démogénétiques d’une susceptibilité plus accrue de certains individus à des maladies infectieuses complexes. En vue d’une caractérisation de la variabilité génétique des populations ouest-africaines, nous avons analysé 659 chromosomes X au locus dys44 qui comprend, 35 SNPs et un microsatellite distribués sur 2853 pb en amont et 5034 pb en aval de l’exon 44 du gène de la dystrophine en Xp21.3. Les génotypes obtenus, par ASO dynamique et électrophorèse sur gel d’acrylamide, ont servi à la détermination des haplotypes. Des paramètres comme la diversité haplotypique (G) et l'indice de fixation (Fst) ont été calculés. Des analyses en composantes principales ainsi que multidimensionnelles ont été réalisées. Sur 68 haplotypes détectés, 26 sont nouveaux, et cette région, avec une diversité haplotypique moyenne (Gmoy) de 0,91 ± 0,03, se révèle beaucoup plus hétérogène que le reste du continent (Gmoy = 0,85 ± 0,04). Toutefois, malgré l’existence de disparités sous régionales dans la distribution des variants du marqueur dys44, l’AMOVA montre d’une manière générale, une faible érosion de l’éloignement génétique entre les populations subsahariennes (Fst = 1,5% ; p<10-5). Certains variants tel que l’haplotype eurasien B006 paraissent indiquer des flux transsahariens de gènes entre les populations nord-africaines et celles subsahariennes, comme l’exemplifie le pool génétique de l’une des populations ubiquitaires de la famille linguistique Nigéro-congolaise : Les Fulani. Nos résultats vont aussi dans le sens d’un héritage phylétique commun entre les Biaka, les Afro-américains et les populations de la sous-famille de langues Volta-Congo. / The unravelling of our genetic heritage has revealed a demogenetic segueway leading to an increased susceptibility of certain individuals to complex infectious diseases. In order to characterize genetic variability among the West African populations, we analyzed 659 X chromosomes at the dys44 locus which comprises 35 SNPs and a microsatellite spanning a region 2853 bp upstream and 5034 bp downstream of exon 44 of the dystrophine gene in Xp21.3. The resulting genotypes, obtained by dynamic allele specific oligonucleotide hybridization and acrylamide gel electrophoresis, were used for haplotype construction. Gene diversity parameters such as the haplotypic diversity (G) and fixation indexes (Fst) were estimated. Multidimensional analysis of the data, including principal component analysis was also performed. Of the 68 distinct haplotypes detected in our data set, 26 were novel. The mean haplotypic diversity (Gmoy) was 0.91 ± 0.03 for this West African region which was shown to be more heterogeneous than the rest of the continent (Gmoy = 0.85 ± 0.04). However, despite certain sub-regional differences in the distribution of dys44 variants, the analysis of molecular variance showed an overall decline in the genetic distance between Sub-Saharan populations (Fst = 1.5% ; p<10-5). Certain variants, such as the Eurasian-specific haplotype B006, appear to suggest a Trans-Saharan gene flux between North African and Sub-Saharan populations as exemplified by the observed genetic pool of one of the ubiquitous populations of the Nigerian-Congolese linguistic family: The Fulani. Our results are also in agreement with a phyletic heritage between the Biaka, the Afro-Americans and the populations of the Volta-Congo language subfamilies.

<p>Many Single Nucleotide Polymorphisms (SNPs) found in coding or regulatory regions within the human genome lead to phenotypic differences that make prediction of physical appearance, based on genetic analysis, potentially useful in forensic investigations. Complex traits such as pigmentation can be predicted from the genome sequence, provided that genes with strong effects on the trait exist and are known. Phenotypic traits may also be associated with variations in gene expression due to the presence of SNPs in promoter regions. In this project, the identification of genes associated with these physical traits of potential forensic relevance have been collated from the literature using a text mining platform and hand curation. The SNPs associated with these genes have been acquired from public SNP repositories such as the International HapMap project, dbSNP and Ensembl. Characterization of different population groups based on the SNPs has been performed and the results and data stored in a MySQL database. This database contains SNP genotyping data with respect to physical phenotypic differences of forensic interest. The potential forensicrelevance of the SNP information contained in this database has been verified through in silico SNP analysis aimed at establishing possible relationships between SNP occurrence and phenotype. The software used for this analysis is MATCH&trade / .</p>