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      The population genetics and evolutionary epidemiology of RNA viruses

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          Key Points

          • The authors discuss the main mechanisms of RNA virus evolution — mutation, recombination, natural selection, genetic drift and migration, and how these interact to shape the genetic structure of populations.

          • The quasispecies model of RNA virus evolution is explained and the question of whether this model provides an accurate description of RNA virus evolution is discussed.

          • Experiments that can be carried out to test the basic principles of evolutionary theory are briefly described. The authors review what such experiments have told us about virus evolution and, more widely, what these experiments have revealed in terms of general evolutionary principles.

          • RNA viruses evolve quickly, so a detailed reconstruction of their epidemiological history can be undertaken. The authors show how epidemiological patterns of viruses result from their evolution at two different levels: within individual hosts (and vectors) and among hosts at the population level.

          • Using several examples, including HIV and SARS, the authors describe how studying RNA virus evolution could be used to understand virus emergence.

          • Finally, the important topics of the evolution of virulence and resistance to drugs are discussed.

          Abstract

          RNA viruses are ubiquitous intracellular parasites that are responsible for many emerging diseases, including AIDS and SARS. Here, we discuss the principal mechanisms of RNA virus evolution and highlight areas where future research is required. The rapidity of sequence change in RNA viruses means that they are useful experimental models for the study of evolution in general and it enables us to watch them change in 'real time', and retrace the spread through populations with molecular phylogenies. An understanding of the mechanisms of RNA virus sequence change is also crucial to predicting important aspects of their emergence and long-term evolution.

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          Most cited references105

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          Characterization of a novel coronavirus associated with severe acute respiratory syndrome.

          P Rota (2003)
          In March 2003, a novel coronavirus (SARS-CoV) was discovered in association with cases of severe acute respiratory syndrome (SARS). The sequence of the complete genome of SARS-CoV was determined, and the initial characterization of the viral genome is presented in this report. The genome of SARS-CoV is 29,727 nucleotides in length and has 11 open reading frames, and its genome organization is similar to that of other coronaviruses. Phylogenetic analyses and sequence comparisons showed that SARS-CoV is not closely related to any of the previously characterized coronaviruses.
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            Isolation and characterization of viruses related to the SARS coronavirus from animals in southern China.

            Y Guan (2003)
            A novel coronavirus (SCoV) is the etiological agent of severe acute respiratory syndrome (SARS). SCoV-like viruses were isolated from Himalayan palm civets found in a live-animal market in Guangdong, China. Evidence of virus infection was also detected in other animals (including a raccoon dog, Nyctereutes procyonoides) and in humans working at the same market. All the animal isolates retain a 29-nucleotide sequence that is not found in most human isolates. The detection of SCoV-like viruses in small, live wild mammals in a retail market indicates a route of interspecies transmission, although the natural reservoir is not known.
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              Likelihood models for detecting positively selected amino acid sites and applications to the HIV-1 envelope gene.

              Several codon-based models for the evolution of protein-coding DNA sequences are developed that account for varying selection intensity among amino acid sites. The "neutral model" assumes two categories of sites at which amino acid replacements are either neutral or deleterious. The "positive-selection model" assumes an additional category of positively selected sites at which nonsynonymous substitutions occur at a higher rate than synonymous ones. This model is also used to identify target sites for positive selection. The models are applied to a data set of the V3 region of the HIV-1 envelope gene, sequenced at different years after the infection of one patient. The results provide strong support for variable selection intensity among amino acid sites The neutral model is rejected in favor of the positive-selection model, indicating the operation of positive selection in the region. Positively selected sites are found in both the V3 region and the flanking regions.
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                Author and article information

                Contributors
                andres.moya@uv.es
                Journal
                Nat Rev Microbiol
                Nat. Rev. Microbiol
                Nature Reviews. Microbiology
                Nature Publishing Group UK (London )
                1740-1526
                1740-1534
                2004
                : 2
                : 4
                : 279-288
                Affiliations
                [1 ]GRID grid.5338.d, ISNI 0000 0001 2173 938X, Institut Cavanilles de Biodiversitat i Biolog'a Evolutiva, Universitat de València, Apartado Postal 22085, ; Valencia, 46071 Spain
                [2 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, Department of Zoology, , University of Oxford, ; South Parks Road, Oxford, OX1 3PS UK
                Article
                BFnrmicro863
                10.1038/nrmicro863
                7096949
                15031727
                1ccb13aa-3952-4545-b4e6-8d63ec7949d3
                © Nature Publishing Group 2004

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

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                © Springer Nature Limited 2004

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