Phylogenetic estimation of the viral fitness landscape of HIV-1 set-point viral load

Author:

Zhao Lele1ORCID,Wymant Chris1ORCID,Blanquart François2,Golubchik Tanya1ORCID,Gall Astrid3,Bakker Margreet4,Bezemer Daniela5,Hall Matthew1,Ong Swee Hoe6ORCID,Albert Jan78,Bannert Norbert9,Fellay Jacques101112,Grabowski M Kate13,Gunsenheimer-Bartmeyer Barbara14,Günthard Huldrych F1516,Kivelä Pia17,Kouyos Roger D1516,Laeyendecker Oliver18,Meyer Laurence19,Porter Kholoud20,van Sighem Ard5ORCID,van der Valk Marc5,Berkhout Ben4ORCID,Kellam Paul2122,Cornelissen Marion423,Reiss Peter524,Fraser Christophe1,Ferretti Luca1

Affiliation:

1. Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Headington, Oxford OX3 7LF, UK

2. Centre for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, PSL Research University, Cedex 05, Paris 75231, France

3. European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge CB10 1SD, UK

4. Laboratory of Experimental Virology, Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, MB 1007, Netherlands

5. Stichting HIV Monitoring, Amsterdam, Amsterdam, AZ 1105, Netherlands

6. Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK

7. Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna, Stockholm 171 77, Sweden

8. Department of Clinical Microbiology, Karolinska University Hospital, Solna, Stockholm S-171 76, Sweden

9. Division for HIV and Other Retroviruses, Department of Infectious Diseases, Robert Koch Institute, Berlin 13353, Germany

10. School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne CH-1015, Switzerland

11. Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland

12. Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne CH-1015, Switzerland

13. Department of Pathology, John Hopkins University, Baltimore, MD 21287, USA

14. Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin 13353, Germany

15. Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich CH-8091, Switzerland

16. Institute of Medical Virology, University of Zurich, Zurich 8057, Switzerland

17. Department of Infectious Diseases, Helsinki University Hospital, Helsinki FI-00029, Finland

18. Division of Intramural Research, NIAID, NIH, Baltimore, MD 21205, USA

19. INSERM CESP U1018, Université Paris Saclay, APHP, Service de Santé Publique, Hôpital de Bicêtre, Le Kremlin-Bicêtre 94270, France

20. Institute for Global Health, University College London, London WC1N 1EH, UK

21. Kymab Ltd, Babraham Research Campus, Cambridge CB22 3AT, UK

22. Department of Infectious Diseases, Faculty of Medicine, Imperial College London, South Kensington Campus, London SW7 2AZ, UK

23. Molecular Diagnostic Unit, Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, MB 1007, Netherlands

24. Department of Global Health, Amsterdam University Medical Centers, University of Amsterdam and Amsterdam Institute for Global Health and Development, Amsterdam, DE 1100, Netherlands

Abstract

Abstract Set-point viral load (SPVL), a common measure of human immunodeficiency virus (HIV)-1 virulence, is partially determined by viral genotype. Epidemiological evidence suggests that this viral property has been under stabilising selection, with a typical optimum for the virus between 104 and 105 copies of viral RNA per ml. Here we aimed to detect transmission fitness differences between viruses from individuals with different SPVLs directly from phylogenetic trees inferred from whole-genome sequences. We used the local branching index (LBI) as a proxy for transmission fitness. We found that LBI is more sensitive to differences in infectiousness than to differences in the duration of the infectious state. By analysing subtype-B samples from the Bridging the Evolution and Epidemiology of HIV in Europe project, we inferred a significant positive relationship between SPVL and LBI up to approximately 105 copies/ml, with some evidence for a peak around this value of SPVL. This is evidence of selection against low values of SPVL in HIV-1 subtype-B strains, likely related to lower infectiousness, and perhaps a peak in the transmission fitness in the expected range of SPVL. The less prominent signatures of selection against higher SPVL could be explained by an inherent limit of the method or the deployment of antiretroviral therapy.

Funder

ERC Advanced Grant

Li Ka Shing Foundation grant

Publisher

Oxford University Press (OUP)

Subject

Virology,Microbiology

Reference38 articles.

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