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Attenuation of HIV severity by slightly deleterious mutations can explain the long-term trajectory of virulence evolution

Abstract:
HIV-1 is a well-studied example of a pathogen that has evolved an intermediate level of virulence that maximises transmission. For a trait to evolve it must be heritable, and although viral load—a proxy for disease severity—has been shown to be a heritable trait, it is surprising that specific heritable viral factors remain mostly elusive. Rapid within-host evolution is also expected to diminish heritability. We hypothesised that rather than a small number of mutations of large effect determining viral load, the number of slightly deleterious mutations could be key. As a proof of principle, we explored how viral load is expected to evolve within and between hosts using a nested modelling approach that links within-host evolution with epidemiological outcomes. For mutations of sufficiently small effect, a mutation-selection balance is gradually reached during infection, resulting in slow changes in viral load despite rapid rates of genomic evolution. In simulated epidemics, we generated realistic population distributions of viral loads and estimates of heritability. The existence of many slightly deleterious mutations provides a mechanism that can help to explain why viral loads change slowly during infection, broad distributions of viral loads among individuals, and why searches for viral factors that determine viral load have had limited success.
Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Pandemic Sciences Institute
Role:
Author
ORCID:
0009-0005-7413-5869
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Pandemic Sciences Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Pandemic Sciences Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Sub department:
Biology
Role:
Author


More from this funder
Funder identifier:
https://ror.org/03wnrjx87
More from this funder
Funder identifier:
https://ror.org/01g6g9h28


Publisher:
Public Library of Science
Journal:
PLoS Computational Biology More from this journal
Volume:
21
Issue:
12
Pages:
e1013131-e1013131
Article number:
e1013131
Publication date:
2025-12-01
Acceptance date:
2025-11-14
DOI:
EISSN:
1553-7358
ISSN:
1553734X, 1553-734X


Language:
English
Pubs id:
2347244
UUID:
uuid_7756d3ac-7f92-455c-828f-523b3aea81d0
Local pid:
pubs:2347244
Source identifiers:
3536057
Deposit date:
2025-12-04
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

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