RESUMO
Bread wheat (Triticum aestivum L.) gene pool was analyzed with 117 microsatellite markers scattered throughout A, B, and D genomes. Ninety microsatellite markers were giving 1620 polymorphic alleles in 55 different bread wheat genotypes. These genotypes were found to be divided into three subgroups based on Bayesian model and Principal component analysis. The highest polymorphism information content value for the markers resides on A genome was estimated for wmc262 marker located on 4A chromosome with the polymorphism information content value of 0.960. The highest polymorphism information content value (0.954) among the markers known to be located on B genome was realized for wmc44 marker located on 1B chromosome. The highest polymorphism information content value for the markers specific to D genome was found in gwm174 marker located on 5D chromosome with the polymorphism information content value of 0.948. The presence of linkage disequilibrium between 81 pairwise SSR markers reside on the same chromosome was tested and very limited linkage disequilibrium was observed. The results confirmed that the most distant genotype pairs were as follows Ceyhan-99-Behoth 6, Gerek 79-Douma 40989, and Karahan-99-Douma 48114.
Assuntos
Mapeamento Cromossômico/métodos , Desequilíbrio de Ligação , Triticum/genética , Teorema de Bayes , Cromossomos de Plantas/genética , Variação Genética , Genoma de Planta , Repetições de MicrossatélitesRESUMO
OBJECTIVE: The purpose of this study was to determine whether the mitochondrial DNA (mitDNA) copy number in blood samples of patients with thyroiditis, benign nodules or malignant nodules is different from that in healthy individuals, and to examine whether mtDNAcn has the ability to distinguish between different thyroid diseases. MATERIALS AND METHOD: This study consists of principal groups as thyroid patients and control group. The thyroid patient group comprised 30 patients with malignant nodules, 33 with benign nodules and 31 with thyroiditis, whereas the control group was composed of 21 healthy individuals. Blood samples were collected from the patients before treatment. Results were evaluated between groups. RESULTS: We could not find an adequate number of participants for inclusion to match the groups. Similarly, since there is a gender difference in terms of disease prevalence, it was not possible to pair the populations in terms of gender. Instead, the results were analyzed with an adjusted model, including man characteristics as cofounders. We found that the mtDNAcn of the thyroid patients was significantly lower than that measured for the control group (p = 0.01). Furthermore the mtDNAcn of the benign group was significantly lower than that measured in the control group (p = 0.0001). A similar significant difference was found between the thyroiditis group and the control group (p = 0.005). CONCLUSION: It was observed that mtDNAcn in the malignant group was significantly higher than that measured in the benign group (p = 0.004), which would indicate that it may be used as a diagnostic and therapeutic marker in thyroid diseases.