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      Dating the Age of the SIV Lineages That Gave Rise to HIV-1 and HIV-2

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      PLoS Computational Biology
      Public Library of Science

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          Abstract

          Great strides have been made in understanding the evolutionary history of simian immunodeficiency virus (SIV) and the zoonoses that gave rise to HIV-1 and HIV-2. What remains unknown is how long these SIVs had been circulating in non-human primates before the transmissions to humans. Here, we use relaxed molecular clock dating techniques to estimate the time of most recent common ancestor for the SIVs infecting chimpanzees and sooty mangabeys, the reservoirs of HIV-1 and HIV-2, respectively. The date of the most recent common ancestor of SIV in chimpanzees is estimated to be 1492 (1266–1685), and the date in sooty mangabeys is estimated to be 1809 (1729–1875). Notably, we demonstrate that SIV sequences sampled from sooty mangabeys possess sufficient clock-like signal to calibrate a molecular clock; despite the differences in host biology and viral dynamics, the rate of evolution of SIV in sooty mangabeys is indistinguishable from that of its human counterpart, HIV-2. We also estimate the ages of the HIV-2 human-to-human transmissible lineages and provide the first age estimate for HIV-1 group N at 1963 (1948–1977). Comparisons between the SIV most recent common ancestor dates and those of the HIV lineages suggest a difference on the order of only hundreds of years. Our results suggest either that SIV is a surprisingly young lentiviral lineage or that SIV and, perhaps, HIV dating estimates are seriously compromised by unaccounted-for biases.

          Author Summary

          HIV/AIDS continues to be a major health problem worldwide. An understanding of the evolution of HIV in humans may be greatly improved by detailed knowledge of its predecessor, simian immunodeficiency virus (SIV), in non-human primates. While HIV causes AIDS in humans, SIV generally produces a benign infection in its natural hosts. This avirulence is often attributed to coevolution between the virus and its host, possibly due to codivergence over millions of years. Here, we provide a temporal reference for evolution of SIV in its natural primate hosts. Using state-of-the-art molecular clock dating techniques, we estimate the time of most recent common ancestor for SIV in sooty mangabeys and chimpanzees at 1809 (1729–1875) and 1492 (1266–1685), respectively. These ages indicate that SIV may have infected these natural hosts for only hundreds of years before giving rise to HIV. This short duration suggests that viral–host coevolution over millions of years is not a likely explanation for the widespread avirulence of SIV. Finally, despite differences between SIV and HIV in host biology and viral pathogenicity, we have found clear and direct evidence that SIV evolves at a rapid rate in its natural hosts, an evolutionary rate that is indistinguishable from that of HIV in humans.

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          Most cited references35

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          Choosing appropriate substitution models for the phylogenetic analysis of protein-coding sequences.

          Although phylogenetic inference of protein-coding sequences continues to dominate the literature, few analyses incorporate evolutionary models that consider the genetic code. This problem is exacerbated by the exclusion of codon-based models from commonly employed model selection techniques, presumably due to the computational cost associated with codon models. We investigated an efficient alternative to standard nucleotide substitution models, in which codon position (CP) is incorporated into the model. We determined the most appropriate model for alignments of 177 RNA virus genes and 106 yeast genes, using 11 substitution models including one codon model and four CP models. The majority of analyzed gene alignments are best described by CP substitution models, rather than by standard nucleotide models, and without the computational cost of full codon models. These results have significant implications for phylogenetic inference of coding sequences as they make it clear that substitution models incorporating CPs not only are a computationally realistic alternative to standard models but may also frequently be statistically superior.
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            A modified bootscan algorithm for automated identification of recombinant sequences and recombination breakpoints.

            We have developed a modified BOOTSCAN algorithm that may be used to screen nucleotide sequence alignments for evidence of recombination without prior identification of nonrecombinant reference sequences. The algorithm is fast and includes a Bonferroni corrected statistical test of recombination to circumvent the multiple testing problems encountered when using the BOOTSCAN method to explore alignments for evidence of recombination. Using both simulated and real datasets we demonstrate that the modified algorithm is more powerful than other phylogenetic recombination detection methods and performs almost as well as one of the best substitution distribution recombination detection methods.
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              RDP2: recombination detection and analysis from sequence alignments.

              RDP2 is a Windows 95/XP program that examines nucleotide sequence alignments and attempts to identify recombinant sequences and recombination breakpoints using 10 published recombination detection methods, including GENECONV, BOOTSCAN, MAXIMUM chi(2), CHIMAERA and SISTER SCANNING. The program enables fast automated analysis of large alignments (up to 300 sequences containing 13 000 sites), and interactive exploration, management and verification of results with different recombination detection and tree drawing methods. RDP2 is available free from the RDP2 website (http://darwin.uvigo.es/rdp/rdp.html) darren@science.uct.ac.za Detailed descriptions of RDP2 and the methods it implements are included in the program manual, which can be downloaded from the RDP2 website.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Comput Biol
                plos
                ploscomp
                PLoS Computational Biology
                Public Library of Science (San Francisco, USA )
                1553-734X
                1553-7358
                May 2009
                May 2009
                1 May 2009
                : 5
                : 5
                : e1000377
                Affiliations
                [1]Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona, United States of America
                University of Auckland, New Zealand
                Author notes

                Conceived and designed the experiments: JOW MW. Performed the experiments: JOW. Analyzed the data: JOW. Wrote the paper: JOW MW.

                Article
                08-PLCB-RA-1148R2
                10.1371/journal.pcbi.1000377
                2669881
                19412344
                292334f7-c4a7-4f75-8aa7-d0f6391c9fa7
                Wertheim, Worobey. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 16 December 2008
                : 30 March 2009
                Page count
                Pages: 9
                Categories
                Research Article
                Evolutionary Biology/Microbial Evolution and Genomics
                Virology/Immunodeficiency Viruses
                Virology/Virus Evolution and Symbiosis

                Quantitative & Systems biology
                Quantitative & Systems biology

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