Mapeamento fino de qtls e polimorfismos de genes candidatos associados ao crescimento no cromossomo 1 da galinha

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Polimorfismos dos genes SLC11A1 e DLA-DRB1 e susceptibilidade de cães à leishmaniose

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Análise do perfil da expressão de genes candidatos com a eficiência alimentar de animais da raça Nelore

Pós-graduação em Genética e Melhoramento Animal - FCAV

Parâmetros genéticos para integridade óssea do fêmur e estudo da associação dos genes runx2 e tnfs11 em frangos de corte

Pós-graduação em Genética e Melhoramento Animal - FCAV

Investigação de mutações nos genes sinápticos SHANK2 e SHANK3 em Transtornos do Espectro do Autismo

Pós-graduação em Genética - IBILCE

Mutações putativo-causais em genes candidatos associadas à fertilidade de bovinos de corte e bubalinos

Pós-graduação em Genética e Melhoramento Animal - FCAV

Association of apolipoprotein B and adiponectin receptor 1 genes with carcass, bone integrity and performance traits in a paternal broiler line

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Prospecting major genes in dairy buffaloes

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

A Bayesian Approach for Decision Making on the Identification of Genes with Different Expression Levels: An Application to Escherichia coli Bacterium Data

A common interest in gene expression data analysis is to identify from a large pool of candidate genes the genes that present significant changes in expression levels between a treatment and a control biological condition. Usually, it is done using a statistic value and a cutoff value that are used to separate the genes differentially and nondifferentially expressed. In this paper, we propose a Bayesian approach to identify genes differentially expressed calculating sequentially credibility intervals from predictive densities which are constructed using the sampled mean treatment effect from all genes in study excluding the treatment effect of genes previously identified with statistical evidence for difference. We compare our Bayesian approach with the standard ones based on the use of the t-test and modified t-tests via a simulation study, using small sample sizes which are common in gene expression data analysis. Results obtained report evidence that the proposed approach performs better than standard ones, especially for cases with mean differences and increases in treatment variance in relation to control variance. We also apply the methodologies to a well-known publicly available data set on Escherichia coli bacterium.

Strategies to identify and further characterize novel and known genes involved in regulation of skeletogenesis

372 osteochondrodysplasias and genetically determined dysostoses were reported in 2007 [Superti-Furga and Unger, 2007]. For 215 of these conditions, an association with one or more genes can be stated, while the molecular changes for the remaining syndromes remain illusive to date. Thus, the present dissertation aims at the identification of novel genes involved in processes regarding cartilage/ bone formation, growth, differentiation and homeostasis, which may serve as candidate genes for the above mentioned conditions. Two different approaches were undertaken. Firstly, a high throughput EST sequencing project from a human fetal cartilage library was performed to identify novel genes in early skeletal development (20th week of gestation until 2nd year of life) that could be investigated as potential candidate genes. 5000 EST sequences were generated and analyzed representing 1573 individual transcripts, corresponding to known (1400) and to novel, yet uncharacterized genes (173). About 7% of the proteins were already described in cartilage/ bone development or homeostasis, showing that the generated library is tissue specific. The remaining profile of this library was compared to previously published libraries from different time points (8th–12th, 18th–20th week and adult human cartilage) that also showed a similar distribution, reflecting the quality of the presented library analyzed. Furthermore, three potential candidate genes (LRRC59, CRELD2, ZNF577) were further investigated and their potential involvement in skeletogenesis was discussed. Secondly, a disease-orientated approach was undertaken to identify downstream targets of LMX1B, the gene causing Nail-Patella syndrome (NPS), and to investigate similar conditions. Like NPS, Genitopatellar syndrome (GPS) is characterized by aplasia or hypoplasia of the patella and renal anomalies. Therefore, six GPS patients were enrolled in a study to investigate the molecular changes responsible for this relatively rare disease. A 3.07 Mb deletion including LMX1B and NR5A1 (SF1) was found in one female patient that showed features of both NPS and GPS and investigations revealed a 46,XY karyotype and ovotestes indicating true hermaphroditism. The microdeletion was not seen in any of the five other patients with GPS features only, but a potential regulatory element between the two genes cannot be ruled out yet. Since Lmx1b is expressed in the dorsal limb bud and in podocytes, proteomic approaches and expression profiling were performed with murine material of the limbs and the kidneys to identify its downstream targets. After 2D-gel electrophoresis with protein extracts from E13.5 fore limb buds and newborn kidneys of Lmx1b wild type and knock-out mice and mass spectrometry analysis, only two proteins, agrin and carbonic anhydrase 2, remained of interest, but further analysis of the two genes did not show a transcriptional down regulation by Lmx1b. The focus was switched to expression profiles and RNA from newborn Lmx1b wild type and knock-out kidneys was compared by microarray analysis. Potential Lmx1b targets were almost impossible to study, because of the early death of Lmx1b deficient mice, when the glomeruli, containing podocytes, are still immature. Because Lmx1b is also expressed during limb development, RNA from wild type and knock-out Lmx1b E11.5 fore limb buds was investigated by microarray, revealing four potential Lmx1b downstream targets: neuropilin 2, single-stranded DNA binding protein 2, peroxisome proliferative activated receptor, gamma, co-activator 1 alpha, and short stature homeobox 2. Whole mount in situ hybridization strengthened a potential down regulation of neuropilin 2 by Lmx1b, but further investigations including in situ hybridization and protein-protein interaction studies will be needed.

Comparative DNA sequence and methylation analyses of orthologous genes in humans and non-human primates: Genetic and epigenetic footprints of evolution

Welche genetische Unterschiede machen uns verschieden von unseren nächsten Verwandten, den Schimpansen, und andererseits so ähnlich zu den Schimpansen? Was wir untersuchen und auch verstehen wollen, ist die komplexe Beziehung zwischen den multiplen genetischen und epigenetischen Unterschieden, deren Interaktion mit diversen Umwelt- und Kulturfaktoren in den beobachteten phänotypischen Unterschieden resultieren. Um aufzuklären, ob chromosomale Rearrangements zur Divergenz zwischen Mensch und Schimpanse beigetragen haben und welche selektiven Kräfte ihre Evolution geprägt haben, habe ich die kodierenden Sequenzen von 2 Mb umfassenden, die perizentrischen Inversionsbruchpunkte flankierenden Regionen auf den Chromosomen 1, 4, 5, 9, 12, 17 und 18 untersucht. Als Kontrolle dienten dabei 4 Mb umfassende kollineare Regionen auf den rearrangierten Chromosomen, welche mindestens 10 Mb von den Bruchpunktregionen entfernt lagen. Dabei konnte ich in den Bruchpunkten flankierenden Regionen im Vergleich zu den Kontrollregionen keine höhere Proteinevolutionsrate feststellen. Meine Ergebnisse unterstützen nicht die chromosomale Speziationshypothese für Mensch und Schimpanse, da der Anteil der positiv selektierten Gene (5,1% in den Bruchpunkten flankierenden Regionen und 7% in den Kontrollregionen) in beiden Regionen ähnlich war. Durch den Vergleich der Anzahl der positiv und negativ selektierten Gene per Chromosom konnte ich feststellen, dass Chromosom 9 die meisten und Chromosom 5 die wenigsten positiv selektierten Gene in den Bruchpunkt flankierenden Regionen und Kontrollregionen enthalten. Die Anzahl der negativ selektierten Gene (68) war dabei viel höher als die Anzahl der positiv selektierten Gene (17). Eine bioinformatische Analyse von publizierten Microarray-Expressionsdaten (Affymetrix Chip U95 und U133v2) ergab 31 Gene, die zwischen Mensch und Schimpanse differentiell exprimiert sind. Durch Untersuchung des dN/dS-Verhältnisses dieser 31 Gene konnte ich 7 Gene als negativ selektiert und nur 1 Gen als positiv selektiert identifizieren. Dieser Befund steht im Einklang mit dem Konzept, dass Genexpressionslevel unter stabilisierender Selektion evolvieren. Die meisten positiv selektierten Gene spielen überdies eine Rolle bei der Fortpflanzung. Viele dieser Speziesunterschiede resultieren eher aus Änderungen in der Genregulation als aus strukturellen Änderungen der Genprodukte. Man nimmt an, dass die meisten Unterschiede in der Genregulation sich auf transkriptioneller Ebene manifestieren. Im Rahmen dieser Arbeit wurden die Unterschiede in der DNA-Methylierung zwischen Mensch und Schimpanse untersucht. Dazu wurden die Methylierungsmuster der Promotor-CpG-Inseln von 12 Genen im Cortex von Menschen und Schimpansen mittels klassischer Bisulfit-Sequenzierung und Bisulfit-Pyrosequenzierung analysiert. Die Kandidatengene wurden wegen ihrer differentiellen Expressionsmuster zwischen Mensch und Schimpanse sowie wegen Ihrer Assoziation mit menschlichen Krankheiten oder dem genomischen Imprinting ausgewählt. Mit Ausnahme einiger individueller Positionen zeigte die Mehrzahl der analysierten Gene keine hohe intra- oder interspezifische Variation der DNA-Methylierung zwischen den beiden Spezies. Nur bei einem Gen, CCRK, waren deutliche intraspezifische und interspezifische Unterschiede im Grad der DNA-Methylierung festzustellen. Die differentiell methylierten CpG-Positionen lagen innerhalb eines repetitiven Alu-Sg1-Elements. Die Untersuchung des CCRK-Gens liefert eine umfassende Analyse der intra- und interspezifischen Variabilität der DNA-Methylierung einer Alu-Insertion in eine regulatorische Region. Die beobachteten Speziesunterschiede deuten darauf hin, dass die Methylierungsmuster des CCRK-Gens wahrscheinlich in Adaption an spezifische Anforderungen zur Feinabstimmung der CCRK-Regulation unter positiver Selektion evolvieren. Der Promotor des CCRK-Gens ist anfällig für epigenetische Modifikationen durch DNA-Methylierung, welche zu komplexen Transkriptionsmustern führen können. Durch ihre genomische Mobilität, ihren hohen CpG-Anteil und ihren Einfluss auf die Genexpression sind Alu-Insertionen exzellente Kandidaten für die Förderung von Veränderungen während der Entwicklungsregulation von Primatengenen. Der Vergleich der intra- und interspezifischen Methylierung von spezifischen Alu-Insertionen in anderen Genen und Geweben stellt eine erfolgversprechende Strategie dar.

Cloning and characterization of the genes involved in cambial growth in response to elevated [CO2]

Aspen (Populus tremuloides) trees growing under elevated [CO2] at a free-air CO2 enrichment (FACE) site have produced significantly more biomass compared to control trees. The molecular mechanisms underlying the observed increase in biomass productivity was investigated by producing transcriptomic profiles of the vascular cambium zone (VCZ) and leaves, followed by a comparative study to identify genes and pathways that showed significant changes following long-term exposure to elevated [CO2]. This study is mainly to verify if genetic modification of a few selected candidate genes including CAP1, CKX6, and ASML2 that are expressed in vascular cambium in response to elevated [CO2] can cause the changes in plant growth and development. To this end, these three genes were cloned into both sense and antisense constructs. Then antisense and sense transgenic lines of above-mentioned genes were developed. 15 events were generated for 5 constructs, which were confirmed with regular PCR and RT-PCR. Confirmed plants were planted in greenhouse for growth and phenotypic characterization. The expression of CAP1, CKX6 and ASML2 in antisense plants was measured by real-time RT-PCR, and the changes caused by gene interference in cambial growth were studies by analyzing the microscopic sections made from the antisense transgenic plants. It has been found that 1) CAP1 is mainly expressed in xylem and root. 2) RNAi suppression of CAP1 significantly affected height and diameter. 3) CAP1, ASML2 and CKX6 affected xylem and phloem cell proliferation and elongation. Due to the delay in regenerating sense transgenic plants, the characterization of sense transgenic plants is limited to growth only.

Selecting control genes for RT-QPCR using public microarray data

BACKGROUND: Gene expression analysis has emerged as a major biological research area, with real-time quantitative reverse transcription PCR (RT-QPCR) being one of the most accurate and widely used techniques for expression profiling of selected genes. In order to obtain results that are comparable across assays, a stable normalization strategy is required. In general, the normalization of PCR measurements between different samples uses one to several control genes (e.g. housekeeping genes), from which a baseline reference level is constructed. Thus, the choice of the control genes is of utmost importance, yet there is not a generally accepted standard technique for screening a large number of candidates and identifying the best ones. RESULTS: We propose a novel approach for scoring and ranking candidate genes for their suitability as control genes. Our approach relies on publicly available microarray data and allows the combination of multiple data sets originating from different platforms and/or representing different pathologies. The use of microarray data allows the screening of tens of thousands of genes, producing very comprehensive lists of candidates. We also provide two lists of candidate control genes: one which is breast cancer-specific and one with more general applicability. Two genes from the breast cancer list which had not been previously used as control genes are identified and validated by RT-QPCR. Open source R functions are available at http://www.isrec.isb-sib.ch/~vpopovic/research/ CONCLUSION: We proposed a new method for identifying candidate control genes for RT-QPCR which was able to rank thousands of genes according to some predefined suitability criteria and we applied it to the case of breast cancer. We also empirically showed that translating the results from microarray to PCR platform was achievable.

A whole-genome scan for recurrent airway obstruction in Warmblood sport horses indicates two positional candidate regions

Recurrent airway obstruction (RAO), or heaves, is a naturally occurring asthma-like disease that is related to sensitisation and exposure to mouldy hay and has a familial basis with a complex mode of inheritance. A genome-wide scanning approach using two half-sibling families was taken in order to locate the chromosome regions that contribute to the inherited component of this condition in these families. Initially, a panel of 250 microsatellite markers, which were chosen as a well-spaced, polymorphic selection covering the 31 equine autosomes, was used to genotype the two half-sibling families, which comprised in total 239 Warmblood horses. Subsequently, supplementary markers were added for a total of 315 genotyped markers. Each half-sibling family is focused around a severely RAO-affected stallion, and the phenotype of each individual was assessed for RAO and related signs, namely, breathing effort at rest, breathing effort at work, coughing, and nasal discharge, using an owner-based questionnaire. Analysis using a regression method for half-sibling family structures was performed using RAO and each of the composite clinical signs separately; two chromosome regions (on ECA13 and ECA15) showed a genome-wide significant association with RAO at P < 0.05. An additional 11 chromosome regions showed a more modest association. This is the first publication that describes the mapping of genetic loci involved in RAO. Several candidate genes are located in these regions, a number of which are interleukins. These are important signalling molecules that are intricately involved in the control of the immune response and are therefore good positional candidates.

Novel variants in the KIT and PAX3 genes in horses with white-spotted coat colour phenotypes.

Variants in the EDNRB, KIT, MITF, PAX3 and TRPM1 genes are known to cause white spotting phenotypes in horses, which can range from the common white markings up to completely white horses. In this study, we investigated these candidate genes in 169 horses with white spotting phenotypes not explained by the previously described variants. We identified a novel missense variant, PAX3:p.Pro32Arg, in Appaloosa horses with a splashed white phenotype in addition to their leopard complex spotting patterns. We also found three novel variants in the KIT gene. The splice site variant c.1346+1G>A occurred in a Swiss Warmblood horse with a pronounced depigmentation phenotype. The missense variant p.Tyr441Cys was present in several part-bred Arabians with sabino-like depigmentation phenotypes. Finally, we provide evidence suggesting that the common and widely distributed KIT:p.Arg682His variant has a very subtle white-increasing effect, which is much less pronounced than the effect of the other described KIT variants. We termed the new KIT variants W18-W20 to provide a simple and unambiguous nomenclature for future genetic testing applications.