The University of Southampton
University of Southampton Institutional Repository

The mode and tempo of hepatitis C virus evolution within and among hosts

The mode and tempo of hepatitis C virus evolution within and among hosts
The mode and tempo of hepatitis C virus evolution within and among hosts
Background
Hepatitis C virus (HCV) is a rapidly-evolving RNA virus that establishes chronic infections in humans. Despite the virus' public health importance and a wealth of sequence data, basic aspects of HCV molecular evolution remain poorly understood. Here we investigate three sets of whole HCV genomes in order to directly compare the evolution of whole HCV genomes at different biological levels: within- and among-hosts. We use a powerful Bayesian inference framework that incorporates both among-lineage rate heterogeneity and phylogenetic uncertainty into estimates of evolutionary parameters.

Results
Most of the HCV genome evolves at ~0.001 substitutions/site/year, a rate typical of RNA viruses. The antigenically-important E1/E2 genome region evolves particularly quickly, with correspondingly high rates of positive selection, as inferred using two related measures. Crucially, in this region an exceptionally higher rate was observed for within-host evolution compared to among-host evolution. Conversely, higher rates of evolution were seen among-hosts for functionally relevant parts of the NS5A gene. There was also evidence for slightly higher evolutionary rate for HCV subtype 1a compared to subtype 1b.

Conclusions
Using new statistical methods and comparable whole genome datasets we have quantified, for the first time, the variation in HCV evolutionary dynamics at different scales of organisation. This confirms that differences in molecular evolution between biological scales are not restricted to HIV and may represent a common feature of chronic RNA viral infection. We conclude that the elevated rate observed in the E1/E2 region during within-host evolution more likely results from the reversion of host-specific adaptations (resulting in slower long-term among-host evolution) than from the preferential transmission of slowly-evolving lineages.
1471-2148
Gray, Rebecca R
cbe4bdb1-710d-429b-9dbe-448b17f7ebf8
Parker, Joe
979fbb42-5897-4fbe-a32e-06793f9f99ed
Lemey, Philippe
207ba0de-f285-4098-9643-53646088c8cc
Salemi, Marco
4d04cd69-4159-4b6a-903a-1ae863bcf90c
Katzourakis, Aris
4db72e87-8c47-42d3-9e7a-fb5dfb6fc4e1
Pybus, Oliver G
5fa128e1-8eb8-4d38-b925-1d7869a07f99
Gray, Rebecca R
cbe4bdb1-710d-429b-9dbe-448b17f7ebf8
Parker, Joe
979fbb42-5897-4fbe-a32e-06793f9f99ed
Lemey, Philippe
207ba0de-f285-4098-9643-53646088c8cc
Salemi, Marco
4d04cd69-4159-4b6a-903a-1ae863bcf90c
Katzourakis, Aris
4db72e87-8c47-42d3-9e7a-fb5dfb6fc4e1
Pybus, Oliver G
5fa128e1-8eb8-4d38-b925-1d7869a07f99

Gray, Rebecca R, Parker, Joe, Lemey, Philippe, Salemi, Marco, Katzourakis, Aris and Pybus, Oliver G (2011) The mode and tempo of hepatitis C virus evolution within and among hosts. BMC Evolutionary Biology, 11 (131). (doi:10.1186/1471-2148-11-131).

Record type: Article

Abstract

Background
Hepatitis C virus (HCV) is a rapidly-evolving RNA virus that establishes chronic infections in humans. Despite the virus' public health importance and a wealth of sequence data, basic aspects of HCV molecular evolution remain poorly understood. Here we investigate three sets of whole HCV genomes in order to directly compare the evolution of whole HCV genomes at different biological levels: within- and among-hosts. We use a powerful Bayesian inference framework that incorporates both among-lineage rate heterogeneity and phylogenetic uncertainty into estimates of evolutionary parameters.

Results
Most of the HCV genome evolves at ~0.001 substitutions/site/year, a rate typical of RNA viruses. The antigenically-important E1/E2 genome region evolves particularly quickly, with correspondingly high rates of positive selection, as inferred using two related measures. Crucially, in this region an exceptionally higher rate was observed for within-host evolution compared to among-host evolution. Conversely, higher rates of evolution were seen among-hosts for functionally relevant parts of the NS5A gene. There was also evidence for slightly higher evolutionary rate for HCV subtype 1a compared to subtype 1b.

Conclusions
Using new statistical methods and comparable whole genome datasets we have quantified, for the first time, the variation in HCV evolutionary dynamics at different scales of organisation. This confirms that differences in molecular evolution between biological scales are not restricted to HIV and may represent a common feature of chronic RNA viral infection. We conclude that the elevated rate observed in the E1/E2 region during within-host evolution more likely results from the reversion of host-specific adaptations (resulting in slower long-term among-host evolution) than from the preferential transmission of slowly-evolving lineages.

This record has no associated files available for download.

More information

Published date: 19 May 2011

Identifiers

Local EPrints ID: 480629
URI: http://eprints.soton.ac.uk/id/eprint/480629
ISSN: 1471-2148
PURE UUID: 37cc84ad-2b5b-4b83-881a-4b9246577a30
ORCID for Joe Parker: ORCID iD orcid.org/0000-0003-3777-2269

Catalogue record

Date deposited: 08 Aug 2023 16:33
Last modified: 18 Mar 2024 03:50

Export record

Altmetrics

Contributors

Author: Rebecca R Gray
Author: Joe Parker ORCID iD
Author: Philippe Lemey
Author: Marco Salemi
Author: Aris Katzourakis
Author: Oliver G Pybus

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×