The restriction fragment length polymorphism (RFLP) of the major noncoding region of mitochondrial DNA (mtDNA) was studied in the Bashkir (N = 217), Tatar (N = 57), Chuvash (N = 44), Mari (N = 52), Mordovian (N = 55), Udmurt (N = 62), and Komi (N = 45) populations. Of seven polymorphic AvaII, BamHI, EcoRV, KpnI, and RsaI restriction sites, five were found in Bashkirs and Tatars, and four were found in each of the other populations. In total, 13 mitotypes were detected, and only three of them were common to all populations from the Volga-Ural region. The parameters of gene diversity were calculated with respect to the polymorphic sites and mitotypes. Comparison with published data revealed both Mongoloid and Caucasoid components in the gene pool of the modern populations from the Volga-Ural region. The Mongoloid component was prevalent in the mitochondrial gene pool, which is consistent with historical, anthropological, and ethnographic data.
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Int J Parasitol Parasites Wildl
August 2024
Kazakh Research Scientific Veterinary Institute, 050016, Almaty, Kazakhstan.
Saiga antelope () is a protected species in Kazakhstan. Little is known about the parasitofauna of these mammals. Therefore, the focus of this study was to evaluate the prevalence and species diversity of spp.
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August 2024
Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa 450054, Russia; Bashkir State Medical University, Ufa 450008, Russia.
Background: Genetic background of healthy or pathological styles of aging and human lifespan is determined by joint gene interactions. Lucky combinations of antioxidant gene polymorphisms can result in a highly adaptive phenotype, providing a successful way to interact with external triggers. Our purpose was to identify the polygenic markers of survival and longevity in the antioxidant genes among elderly people with physiological and pathological aging.
View Article and Find Full Text PDFNutrients
April 2024
Institute of Biochemistry and Genetics, Ufa Federal Research Centre of Russian Academy of Sciences, Ufa 450054, Russia.
Disordered eating contributes to weight gain, obesity, and type 2 diabetes (T2D), but the precise mechanisms underlying the development of different eating patterns and connecting them to specific metabolic phenotypes remain unclear. We aimed to identify genetic variants linked to eating behaviour and investigate its causal relationships with metabolic traits using Mendelian randomization (MR). We tested associations between 30 genetic variants and eating patterns in individuals with T2D from the Volga-Ural region and investigated causal relationships between variants associated with eating patterns and various metabolic and anthropometric traits using data from the Volga-Ural population and large international consortia.
View Article and Find Full Text PDFBiomedicines
April 2024
Endocrinology Research Centre, Dmitriya Ulianova Street, 11, 117036 Moscow, Russia.
Osteoarthritis is a chronic progressive joint disease that clinically debuts at the stage of pronounced morphologic changes, which makes treatment difficult. In this regard, an important task is the study of genetic markers of the disease, which have not been definitively established, due to the clinical and ethnic heterogeneity of the studied populations. To find the genetic markers for the development of knee osteoarthritis (OA) in women from the Volga-Ural region of Russia, we conducted research in two stages using different genotyping methods, such as the restriction fragment length polymorphism (RFLP) measurement, TaqMan technology and competitive allele-specific PCR-KASP.
View Article and Find Full Text PDFDokl Biol Sci
June 2023
Institute of Plant and Animal Ecology, Ural Branch, Russian Academy of Sciences, Yekaterinburg, Russia.
Different lifespans were for the first time demonstrated for three (brown, bicolor, and black) fur color morphs in ten mole vole populations of the Volga, Ural, and Trans-Ural regions. With the longest lifespan of 5 years in the species, morphs that numerically dominate in a population can live 1-4 years longer than accompanying morphs. Spearman's correlation coefficient between the longest lifespan of the morphs and their proportion in the population was R = 0.
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