Your browser doesn't support javascript.
A lung-specific mutational signature enables inference of viral and bacterial respiratory niche.
Ruis, Christopher; Peacock, Thomas P; Polo, Luis M; Masone, Diego; Alvarez, Maria Soledad; Hinrichs, Angie S; Turakhia, Yatish; Cheng, Ye; McBroome, Jakob; Corbett-Detig, Russell; Parkhill, Julian; Floto, R Andres.
  • Ruis C; Molecular Immunity Unit, University of Cambridge Department of Medicine, MRC-Laboratory of Molecular Biology, Cambridge, UK.
  • Peacock TP; Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
  • Polo LM; Cambridge Centre for AI in Medicine, University of Cambridge, Cambridge, UK.
  • Masone D; Department of Infectious Disease, Imperial College London, London, UK.
  • Alvarez MS; Instituto de Histología y Embriología de Mendoza - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional de Cuyo, Mendoza, Argentina.
  • Hinrichs AS; Instituto de Histología y Embriología de Mendoza - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional de Cuyo, Mendoza, Argentina.
  • Turakhia Y; Facultad de Ingeniería, Universidad Nacional de Cuyo, Mendoza, Argentina.
  • Cheng Y; Instituto de Medicina y Biología Experimental de Cuyo (IMBECU), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional de Cuyo (UNCuyo), Mendoza, Argentina.
  • McBroome J; Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA.
  • Corbett-Detig R; Department of Electrical and Computer Engineering, University of California San Diego, San Diego, CA, USA.
  • Parkhill J; Department of Electrical and Computer Engineering, University of California San Diego, San Diego, CA, USA.
  • Floto RA; Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.
Microb Genom ; 9(5)2023 05.
Article in English | MEDLINE | ID: covidwho-2318756
ABSTRACT
Exposure to different mutagens leaves distinct mutational patterns that can allow inference of pathogen replication niches. We therefore investigated whether SARS-CoV-2 mutational spectra might show lineage-specific differences, dependent on the dominant site(s) of replication and onwards transmission, and could therefore rapidly infer virulence of emergent variants of concern (VOCs). Through mutational spectrum analysis, we found a significant reduction in G>T mutations in the Omicron variant, which replicates in the upper respiratory tract (URT), compared to other lineages, which replicate in both the URT and lower respiratory tract (LRT). Mutational analysis of other viruses and bacteria indicates a robust, generalizable association of high G>T mutations with replication within the LRT. Monitoring G>T mutation rates over time, we found early separation of Omicron from Beta, Gamma and Delta, while mutational patterns in Alpha varied consistent with changes in transmission source as social restrictions were lifted. Mutational spectra may be a powerful tool to infer niches of established and emergent pathogens.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Topics: Variants Limits: Humans Language: English Year: 2023 Document Type: Article Affiliation country: Mgen.0.001018

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Topics: Variants Limits: Humans Language: English Year: 2023 Document Type: Article Affiliation country: Mgen.0.001018