A lung-specific mutational signature enables inference of viral and bacterial respiratory niche

Author:

Ruis Christopher123,Peacock Thomas P.4,Polo Luis M.5,Masone Diego65,Alvarez Maria Soledad7,Hinrichs Angie S.8,Turakhia Yatish9,Cheng Ye9,McBroome Jakob108,Corbett-Detig Russell108,Parkhill Julian2,Floto R. Andres1311

Affiliation:

1. Molecular Immunity Unit, University of Cambridge Department of Medicine, MRC-Laboratory of Molecular Biology, Cambridge, UK

2. Department of Veterinary Medicine, University of Cambridge, Cambridge, UK

3. Cambridge Centre for AI in Medicine, University of Cambridge, Cambridge, UK

4. Department of Infectious Disease, Imperial College London, London, UK

5. Instituto de Histología y Embriología de Mendoza – Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional de Cuyo, Mendoza, Argentina

6. Facultad de Ingeniería, Universidad Nacional de Cuyo, Mendoza, Argentina

7. Instituto de Medicina y Biología Experimental de Cuyo (IMBECU), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional de Cuyo (UNCuyo), Mendoza, Argentina

8. Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA

9. Department of Electrical and Computer Engineering, University of California San Diego, San Diego, CA, USA

10. Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA

11. Cambridge Centre for Lung Infection, Papworth Hospital, Cambridge, UK

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.

Funder

Wellcome Trust

Fondation Botnar

UK CF Trust

G2P-UK National Virology Consortium funded by the MRC

Centers for Disease Control and Prevention Foundation

Publisher

Microbiology Society

Subject

General Medicine

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