A multi-population-based genomic analysis uncovers unique haplotype variants and crucial mutant genes in SARS-CoV-2.

BACKGROUND: COVID-19 is a disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Rigorous detection and treatment strategies against SARS-CoV-2 have become very challenging due to continuous evolutions to the viral genome. Therefore, careful genomic analysis is sorely needed to understand transmission, the cellular mechanism of pathogenicity, and the development of vaccines or drugs. OBJECTIVE: In this study, we intended to identify SARS-CoV-2 genome variants that may help understand the cellular and molecular foundation of coronavirus infections required to develop effective intervention strategies. METHODS: SARS-CoV-2 genome sequences were downloaded from an open-source public database, processed, and analyzed for variants in target detection sites and genes. RESULTS: We have identified six unique variants, G---AAC, T---AAC---T, AAC---T, AAC--------T, C----------T, and C--------C, at the nucleocapsid region and eleven major hotspot mutant genes: nsp3, surface glycoprotein, nucleocapsid phosphoprotein, ORF8, nsp6, nsp2, nsp4, helicase, membrane glycoprotein, 3'-5' exonuclease, and 2'-O-ribose methyltransferases. In addition, we have identified eleven major mutant genes that may have a crucial role in SARS-CoV-2 pathogenesis. CONCLUSION: Studying haplotype variants and 11 major mutant genes to understand the mechanism of action of fatal pathogenicity and inter-individual variations in immune responses is inevitable for managing target patient groups with identified variants and developing effective anti-viral drugs and vaccines.

Evaluation of the usefulness of saliva for mosaic loss of chromosome Y analysis.

Mosaic loss of chromosome Y (mLOY) in leukocytes has attracted much attention as an emerging biomarker of aging and aging-related diseases. We evaluated the usefulness of saliva for mLOY analysis and showed that saliva-derived mLOY is significantly associated with aging and increased physical activity, but not with smoking. While these data support the robust association between saliva-derived mLOY and aging, caution is required when comparing data from saliva-derived and blood-derived mLOY.