Search

Adaptation of humans to challenging environmental conditions, such as extreme temperature, malnutrition, or hypoxia, is an interesting phenomenon for both basic and applied research. Identification of the genetic factors contributing to human adaptation to these conditions enhances our understanding of the underlying molecular and physiological mechanisms. In our study, we analyzed the exomes of 22 high altitude mountaineers to uncover genetic variants contributing to hypoxic adaptation. To our surprise, we identified two putative loss‐of‐function variants, rs1385101139 in RTEL1 and rs1002726737 in COL6A1 in two extremely high altitude (personal record of more than 8500 m) professional climbers. Both variants can be interpreted as pathogenic according to medical geneticists' guidelines, and are linked to inherited conditions involving respiratory failure (late‐onset pulmonary fibrosis and severe Ullrich muscular dystrophy for rs1385101139 and rs1002726737, respectively). Our results suggest that a loss of gene function may act as an important factor of human adaptation, which is corroborated by previous reports in other human subjects. [ABSTRACT FROM AUTHOR]

Yeast self-perpetuating protein aggregates (prions) provide a convenient model for studying various components of the cellular protein quality control system. Molecular chaperones and chaperone-sorting factors, such as yeast Cur1 protein, play key role in proteostasis via tight control of partitioning and recycling of misfolded proteins. In this study, we show that, despite the previously described ability of Cur1 to antagonize the yeast prion [ URE3], it enhances propagation and phenotypic manifestation of another prion, [ PSI+]. We demonstrate that both curing of [ URE3] and enhancement of [ PSI+] in the presence of excess Cur1 are counteracted by the cochaperone Hsp40-Sis1 in a dosage-dependent manner, and show that the effect of Cur1 on prions parallels effects of the attachment of nuclear localization signal to Sis1, indicating that Cur1 acts on prions via its previously reported ability to relocalize Sis1 from the cytoplasm to nucleus. This shows that the direction in which Cur1 influences a prion depends on how this specific prion responds to relocalization of Sis1. [ABSTRACT FROM AUTHOR]

[ PSI+] is the prion form of the translation termination factor Sup35 (eRF3); [ PSI+] strains display nonsense suppression. Another prion-like element, [ ISP +], is linked to antisuppression in a specific background. Transcriptional regulator Sfp1 was shown to be responsible for [ ISP +] propagation. In this work, we identified SFP1 as a multicopy inducer of [ PSI+]-dependent lethality. Sfp1 is likely to up-regulate transcription of genes encoding release factors; however, its overproduction increases Sup35, but not Sup45 protein level. Using the synthetic lethality test, we compared the effects of SFP1 and SUP35 over-expression on the viability of [ PSI +] strains. Together with an observation that Sfp1 overproduction leads to an increased accumulation of Sup35 in [ PSI +] aggregates, we suggest that excess Sfp1 causes [ PSI +] toxicity. Even though SUP45 over-expression is known to compensate for the [ PSI+]-dependent lethality, it fails to do so when the lethality is caused by SFP1 over-expression. We discovered that the increased levels of Hsp40 chaperone Sis1 alleviate prion toxicity caused by either SFP1 or SUP35 over-expression and revert back to normal distribution of Sup35 between monomers and aggregate fractions. Finally, we showed that Sfp1 partially colocalizes with Sup35 aggregates, which may contribute to another mechanism of Sfp1-derived [ PSI +] prion toxicity. [ABSTRACT FROM AUTHOR]

Background: Allele frequency data from large exome and genome aggregation projects such as the Genome Aggregation Database (gnomAD) are of ultimate importance to the interpretation of medical resequencing data. However, allele frequencies might significantly differ in poorly studied populations that are underrepresented in large‐scale projects, such as the Russian population. Methods: In this work, we leveraged our access to a large dataset of 694 exome samples to analyze genetic variation in the Northwest Russia. We compared the spectrum of genetic variants to the dbSNP build 151, and made estimates of ClinVar‐based autosomal recessive (AR) disease allele prevalence as compared to gnomAD r. 2.1. Results: An estimated 9.3% of discovered variants were not present in dbSNP. We report statistically significant overrepresentation of pathogenic variants for several Mendelian disorders, including phenylketonuria (PAH, rs5030858), Wilson's disease (ATP7B, rs76151636), factor VII deficiency (F7, rs36209567), kyphoscoliosis type of Ehlers‐Danlos syndrome (FKBP14, rs542489955), and several other recessive pathologies. We also make primary estimates of monogenic disease incidence in the population, with retinal dystrophy, cystic fibrosis, and phenylketonuria being the most frequent AR pathologies. Conclusion: Our observations demonstrate the utility of population‐specific allele frequency data to the diagnosis of monogenic disorders using high‐throughput technologies. [ABSTRACT FROM AUTHOR]