Loss and recovery of genetic diversity in adapting populations of HIV
The evolution of drug resistance in HIV occurs by the fixation of specific, well-known, drug-resistance mutations, but the underlying population genetic processes are not well understood. By analyzing within-patient longitudinal sequence data, we make four observations that shed a light on the under...
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description | The evolution of drug resistance in HIV occurs by the fixation of specific, well-known, drug-resistance mutations, but the underlying population genetic processes are not well understood. By analyzing within-patient longitudinal sequence data, we make four observations that shed a light on the underlying processes and allow us to infer the short-term effective population size of the viral population in a patient. Our first observation is that the evolution of drug resistance usually occurs by the fixation of one drug-resistance mutation at a time, as opposed to several changes simultaneously. Second, we find that these fixation events are accompanied by a reduction in genetic diversity in the region surrounding the fixed drug-resistance mutation, due to the hitchhiking effect. Third, we observe that the fixation of drug-resistance mutations involves both hard and soft selective sweeps. In a hard sweep, a resistance mutation arises in a single viral particle and drives all linked mutations with it when it spreads in the viral population, which dramatically reduces genetic diversity. On the other hand, in a soft sweep, a resistance mutation occurs multiple times on different genetic backgrounds, and the reduction of diversity is weak. Using the frequency of occurrence of hard and soft sweeps we estimate the effective population size of HIV to be 1.5 x 10(5) (95% confidence interval [0.8 x 10(5),4.8 x 10(5)]). This number is much lower than the actual number of infected cells, but much larger than previous population size estimates based on synonymous diversity. We propose several explanations for the observed discrepancies. Finally, our fourth observation is that genetic diversity at non-synonymous sites recovers to its pre-fixation value within 18 months, whereas diversity at synonymous sites remains depressed after this time period. These results improve our understanding of HIV evolution and have potential implications for treatment strategies. |
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By analyzing within-patient longitudinal sequence data, we make four observations that shed a light on the underlying processes and allow us to infer the short-term effective population size of the viral population in a patient. Our first observation is that the evolution of drug resistance usually occurs by the fixation of one drug-resistance mutation at a time, as opposed to several changes simultaneously. Second, we find that these fixation events are accompanied by a reduction in genetic diversity in the region surrounding the fixed drug-resistance mutation, due to the hitchhiking effect. Third, we observe that the fixation of drug-resistance mutations involves both hard and soft selective sweeps. In a hard sweep, a resistance mutation arises in a single viral particle and drives all linked mutations with it when it spreads in the viral population, which dramatically reduces genetic diversity. On the other hand, in a soft sweep, a resistance mutation occurs multiple times on different genetic backgrounds, and the reduction of diversity is weak. Using the frequency of occurrence of hard and soft sweeps we estimate the effective population size of HIV to be 1.5 x 10(5) (95% confidence interval [0.8 x 10(5),4.8 x 10(5)]). This number is much lower than the actual number of infected cells, but much larger than previous population size estimates based on synonymous diversity. We propose several explanations for the observed discrepancies. Finally, our fourth observation is that genetic diversity at non-synonymous sites recovers to its pre-fixation value within 18 months, whereas diversity at synonymous sites remains depressed after this time period. These results improve our understanding of HIV evolution and have potential implications for treatment strategies.</description><identifier>ISSN: 1553-7404</identifier><identifier>ISSN: 1553-7390</identifier><identifier>EISSN: 1553-7404</identifier><identifier>DOI: 10.1371/journal.pgen.1004000</identifier><identifier>PMID: 24465214</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adaptation, Biological ; Biological diversity ; Biology ; Confidence intervals ; Drug resistance ; Drug Resistance - genetics ; Evolution, Molecular ; Genetic aspects ; Genetic diversity ; Genetic research ; Genetic Variation ; Genetics, Population ; HIV (Viruses) ; HIV - genetics ; HIV - pathogenicity ; HIV Infections - genetics ; HIV Infections - virology ; Humans ; Mathematical models ; Microbiological research ; Mutation ; Population ; Population genetics</subject><ispartof>PLoS genetics, 2014-01, Vol.10 (1), p.e1004000-e1004000</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Pennings et al 2014 Pennings et al</rights><rights>2014 Pennings et al. 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: Pennings PS, Kryazhimskiy S, Wakeley J (2014) Loss and Recovery of Genetic Diversity in Adapting Populations of HIV. 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By analyzing within-patient longitudinal sequence data, we make four observations that shed a light on the underlying processes and allow us to infer the short-term effective population size of the viral population in a patient. Our first observation is that the evolution of drug resistance usually occurs by the fixation of one drug-resistance mutation at a time, as opposed to several changes simultaneously. Second, we find that these fixation events are accompanied by a reduction in genetic diversity in the region surrounding the fixed drug-resistance mutation, due to the hitchhiking effect. Third, we observe that the fixation of drug-resistance mutations involves both hard and soft selective sweeps. In a hard sweep, a resistance mutation arises in a single viral particle and drives all linked mutations with it when it spreads in the viral population, which dramatically reduces genetic diversity. On the other hand, in a soft sweep, a resistance mutation occurs multiple times on different genetic backgrounds, and the reduction of diversity is weak. Using the frequency of occurrence of hard and soft sweeps we estimate the effective population size of HIV to be 1.5 x 10(5) (95% confidence interval [0.8 x 10(5),4.8 x 10(5)]). This number is much lower than the actual number of infected cells, but much larger than previous population size estimates based on synonymous diversity. We propose several explanations for the observed discrepancies. Finally, our fourth observation is that genetic diversity at non-synonymous sites recovers to its pre-fixation value within 18 months, whereas diversity at synonymous sites remains depressed after this time period. These results improve our understanding of HIV evolution and have potential implications for treatment strategies.</description><subject>Adaptation, Biological</subject><subject>Biological diversity</subject><subject>Biology</subject><subject>Confidence intervals</subject><subject>Drug resistance</subject><subject>Drug Resistance - genetics</subject><subject>Evolution, Molecular</subject><subject>Genetic aspects</subject><subject>Genetic diversity</subject><subject>Genetic research</subject><subject>Genetic Variation</subject><subject>Genetics, Population</subject><subject>HIV (Viruses)</subject><subject>HIV - genetics</subject><subject>HIV - pathogenicity</subject><subject>HIV Infections - genetics</subject><subject>HIV Infections - virology</subject><subject>Humans</subject><subject>Mathematical models</subject><subject>Microbiological research</subject><subject>Mutation</subject><subject>Population</subject><subject>Population genetics</subject><issn>1553-7404</issn><issn>1553-7390</issn><issn>1553-7404</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>DOA</sourceid><recordid>eNqVkl1r2zAUhs3YWD-2fzA2w2BsF8l0LNmSbgaldGsgrLCP3gpZlh0FR3Iluyz_vkrilhh2seELmaPnfX18zpskbwDNAVP4vHaDt7Kdd422c0CIIISeJaeQ53hGCSLPj95PkrMQ1gjhnHH6MjnJCCnyDMhpcrV0IaTSVqnXyt1rv01dnUZL3RuVViZWgum3qbGprGTXG9ukneuGVvbG2bCDrxe3r5IXtWyDfj2e58nvr1e_Lq9ny5tvi8uL5UwVnPUzjagiJeecxEayvKC8phTVnLECMkrLDJeEQc2gApUxrSStgTPAFS4zppTG58m7g2_XuiDGCQQBhDPMocAkEosDUTm5Fp03G-m3wkkj9gXnGyF9_LVWCwQy6jgHlHHCOHAAVKCSFShOJpdV9Poyfm0oN7pS2vZethPT6Y01K9G4e4F5HDVj0eDjaODd3aBDLzYmKN220mo37PvOCkYjHtH3B7SRsTVjaxcd1Q4XF7gAHLcFOFLzv1DxqfTGKGd1bWJ9Ivg0EUSm13_6Rg4hiMXPH__Bfv939uZ2yn44Yldatv0quHbYB2gKkgOofAyl1_XTqAGJXeYfNy52mRdj5qPs7fGankSPIccPHQz31A</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Pennings, Pleuni S</creator><creator>Kryazhimskiy, Sergey</creator><creator>Wakeley, John</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISN</scope><scope>ISR</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140101</creationdate><title>Loss and recovery of genetic diversity in adapting populations of HIV</title><author>Pennings, Pleuni S ; Kryazhimskiy, Sergey ; Wakeley, John</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c698t-e07c4b999435825679f770f98861277b23b481f81d1c28eca7f19813d3b28cce3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adaptation, Biological</topic><topic>Biological diversity</topic><topic>Biology</topic><topic>Confidence intervals</topic><topic>Drug resistance</topic><topic>Drug Resistance - genetics</topic><topic>Evolution, Molecular</topic><topic>Genetic aspects</topic><topic>Genetic diversity</topic><topic>Genetic research</topic><topic>Genetic Variation</topic><topic>Genetics, Population</topic><topic>HIV (Viruses)</topic><topic>HIV - genetics</topic><topic>HIV - pathogenicity</topic><topic>HIV Infections - genetics</topic><topic>HIV Infections - virology</topic><topic>Humans</topic><topic>Mathematical models</topic><topic>Microbiological research</topic><topic>Mutation</topic><topic>Population</topic><topic>Population genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pennings, Pleuni S</creatorcontrib><creatorcontrib>Kryazhimskiy, Sergey</creatorcontrib><creatorcontrib>Wakeley, John</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pennings, Pleuni S</au><au>Kryazhimskiy, Sergey</au><au>Wakeley, John</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Loss and recovery of genetic diversity in adapting populations of HIV</atitle><jtitle>PLoS genetics</jtitle><addtitle>PLoS Genet</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>10</volume><issue>1</issue><spage>e1004000</spage><epage>e1004000</epage><pages>e1004000-e1004000</pages><issn>1553-7404</issn><issn>1553-7390</issn><eissn>1553-7404</eissn><abstract>The evolution of drug resistance in HIV occurs by the fixation of specific, well-known, drug-resistance mutations, but the underlying population genetic processes are not well understood. By analyzing within-patient longitudinal sequence data, we make four observations that shed a light on the underlying processes and allow us to infer the short-term effective population size of the viral population in a patient. Our first observation is that the evolution of drug resistance usually occurs by the fixation of one drug-resistance mutation at a time, as opposed to several changes simultaneously. Second, we find that these fixation events are accompanied by a reduction in genetic diversity in the region surrounding the fixed drug-resistance mutation, due to the hitchhiking effect. Third, we observe that the fixation of drug-resistance mutations involves both hard and soft selective sweeps. In a hard sweep, a resistance mutation arises in a single viral particle and drives all linked mutations with it when it spreads in the viral population, which dramatically reduces genetic diversity. On the other hand, in a soft sweep, a resistance mutation occurs multiple times on different genetic backgrounds, and the reduction of diversity is weak. Using the frequency of occurrence of hard and soft sweeps we estimate the effective population size of HIV to be 1.5 x 10(5) (95% confidence interval [0.8 x 10(5),4.8 x 10(5)]). This number is much lower than the actual number of infected cells, but much larger than previous population size estimates based on synonymous diversity. We propose several explanations for the observed discrepancies. Finally, our fourth observation is that genetic diversity at non-synonymous sites recovers to its pre-fixation value within 18 months, whereas diversity at synonymous sites remains depressed after this time period. These results improve our understanding of HIV evolution and have potential implications for treatment strategies.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24465214</pmid><doi>10.1371/journal.pgen.1004000</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adaptation, Biological Biological diversity Biology Confidence intervals Drug resistance Drug Resistance - genetics Evolution, Molecular Genetic aspects Genetic diversity Genetic research Genetic Variation Genetics, Population HIV (Viruses) HIV - genetics HIV - pathogenicity HIV Infections - genetics HIV Infections - virology Humans Mathematical models Microbiological research Mutation Population Population genetics |
title | Loss and recovery of genetic diversity in adapting populations of HIV |
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