8 research outputs found

    THE PREVAILING MECHANISMS OF PSYCHOLOGICAL PROTECTION AT PERSONS WITH DIFFERENT DOMINANCE OF TEMPERAMENT

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    Purpose: The article presents the results of the study of the relationship between the type of temperament and the mechanisms of psychological protection used by a person. Methodology: The study was conducted on the basis of the Belgorod State National Research University. The study involved students aged 18-20 years old in the amount of 300 people. The groups were formed taking into account the dominance of the type of temperament. Gr. #1 included respondents with a predominance of sanguine temperament; gr. #2 - phlegmatic; gr. #3 - choleric and gr. #4 - melancholic type. Result: It is shown that there are differences in the severity of the mechanisms of psychological protection in individuals with different dominant temperament. It is revealed that emotionally stable persons with high indicators of strength and balance of nervous processes (sanguine and phlegmatic types) use more complex and ontogenetically later mechanisms of psychological protection. Applications: This research can be used for universities, teachers, and students. Novelty/Originality: In this research, the model of --- is presented in a comprehensive and complete manner

    Viable nonsense mutants for the essential gene SUP45 of Saccharomyces cerevisiae

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    BACKGROUND: Termination of protein synthesis in eukaryotes involves at least two polypeptide release factors (eRFs) – eRF1 and eRF3. The highly conserved translation termination factor eRF1 in Saccharomyces cerevisiae is encoded by the essential gene SUP45. RESULTS: We have isolated five sup45-n (n from nonsense) mutations that cause nonsense substitutions in the following amino acid positions of eRF1: Y53 → UAA, E266 → UAA, L283 → UAA, L317 → UGA, E385 → UAA. We found that full-length eRF1 protein is present in all mutants, although in decreased amounts. All mutations are situated in a weak termination context. All these sup45-n mutations are viable in different genetic backgrounds, however their viability increases after growth in the absence of wild-type allele. Any of sup45-n mutations result in temperature sensitivity (37°C). Most of the sup45-n mutations lead to decreased spore viability and spores bearing sup45-n mutations are characterized by limited budding after germination leading to formation of microcolonies of 4–20 cells. CONCLUSIONS: Nonsense mutations in the essential gene SUP45 can be isolated in the absence of tRNA nonsense suppressors

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    Chromosome-level genome assembly and structural variant analysis of two laboratory yeast strains from the Peterhof Genetic Collection lineage

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    Thousands of yeast genomes have been sequenced with both traditional and long-read technologies, and multiple observations about modes of genome evolution for both wild and laboratory strains have been drawn from these sequences. In our study, we applied Oxford Nanopore and Illumina technologies to assemble complete genomes of two widely used members of a distinct laboratory yeast lineage, the Peterhof Genetic Collection (PGC), and investigate the structural features of these genomes including transposable element content, copy number alterations, and structural rearrangements. We identified numerous notable structural differences between genomes of PGC strains and the reference S288C strain. We discovered a substantial enrichment of mid-length insertions and deletions within repetitive coding sequences, such as in the SCH9 gene or the NUP100 gene, with possible impact of these variants on protein amyloidogenicity. High contiguity of the final assemblies allowed us to trace back the history of reciprocal unbalanced translocations between chromosomes I, VIII, IX, XI, and XVI of the PGC strains. We show that formation of hybrid alleles of the FLO genes during such chromosomal rearrangements is likely responsible for the lack of invasive growth of yeast strains. Taken together, our results highlight important features of laboratory yeast strain evolution using the power of long-read sequencing
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