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  • 1
    Publication Date: 2012-08-23
    Description: Recent developments in marginal likelihood estimation for model selection in the field of Bayesian phylogenetics and molecular evolution have emphasized the poor performance of the harmonic mean estimator (HME). Although these studies have shown the merits of new approaches applied to standard normally distributed examples and small real-world data sets, not much is currently known concerning the performance and computational issues of these methods when fitting complex evolutionary and population genetic models to empirical real-world data sets. Further, these approaches have not yet seen widespread application in the field due to the lack of implementations of these computationally demanding techniques in commonly used phylogenetic packages. We here investigate the performance of some of these new marginal likelihood estimators, specifically, path sampling (PS) and stepping-stone (SS) sampling for comparing models of demographic change and relaxed molecular clocks, using synthetic data and real-world examples for which unexpected inferences were made using the HME. Given the drastically increased computational demands of PS and SS sampling, we also investigate a posterior simulation-based analogue of Akaike's information criterion (AIC) through Markov chain Monte Carlo (MCMC), a model comparison approach that shares with the HME the appealing feature of having a low computational overhead over the original MCMC analysis. We confirm that the HME systematically overestimates the marginal likelihood and fails to yield reliable model classification and show that the AICM performs better and may be a useful initial evaluation of model choice but that it is also, to a lesser degree, unreliable. We show that PS and SS sampling substantially outperform these estimators and adjust the conclusions made concerning previous analyses for the three real-world data sets that we reanalyzed. The methods used in this article are now available in BEAST, a powerful user-friendly software package to perform Bayesian evolutionary analyses.
    Print ISSN: 0737-4038
    Electronic ISSN: 1537-1719
    Topics: Biology
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  • 2
    Publication Date: 2012-05-16
    Description: Changes in Dengue virus (DENV) disease patterns in the Americas over recent decades have been attributed, at least in part, to repeated introduction of DENV strains from other regions, resulting in a shift from hypoendemicity to hyperendemicity. Using newly sequenced DENV-1 and DENV-3 envelope (E) gene isolates from 11 Caribbean countries, along with sequences available on GenBank, we sought to document the population genetic and spatiotemporal transmission histories of the four main invading DENV genotypes within the Americas and investigate factors that influence the rate and intensity of DENV transmission. For all genotypes, there was an initial invasion phase characterized by rapid increases in genetic diversity, which coincided with the first confirmed cases of each genotype in the region. Rapid geographic dispersal occurred upon each genotype's introduction, after which individual lineages were locally maintained, and gene flow was primarily observed among neighboring and nearby countries. There were, however, centers of viral diversity (Barbados, Puerto Rico, Colombia, Suriname, Venezuela, and Brazil) that were repeatedly involved in gene flow with more distant locations. For DENV-1 and DENV-2, we found that a "distance-informed" model, which posits that the intensity of virus movement between locations is inversely proportional to the distance between them, provided a better fit than a model assuming equal rates of movement between all pairs of countries. However, for DENV-3 and DENV-4, the more stochastic "equal rates" model was preferred.
    Print ISSN: 0737-4038
    Electronic ISSN: 1537-1719
    Topics: Biology
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  • 3
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2008-01-26
    Description: The statistical methods applied to the analysis of genomic data do not account for uncertainty in the sequence alignment. Indeed, the alignment is treated as an observation, and all of the subsequent inferences depend on the alignment being correct. This may not have been too problematic for many phylogenetic studies, in which the gene is carefully chosen for, among other things, ease of alignment. However, in a comparative genomics study, the same statistical methods are applied repeatedly on thousands of genes, many of which will be difficult to align. Using genomic data from seven yeast species, we show that uncertainty in the alignment can lead to several problems, including different alignment methods resulting in different conclusions.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wong, Karen M -- Suchard, Marc A -- Huelsenbeck, John P -- GM-069801/GM/NIGMS NIH HHS/ -- R01 GM069801/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2008 Jan 25;319(5862):473-6. doi: 10.1126/science.1151532.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Section of Ecology, Behavior and Evolution, University of California, San Diego, La Jolla, CA 92093, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18218900" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Amino Acid Sequence ; Base Sequence ; Computational Biology ; Evolution, Molecular ; *Genome, Fungal ; *Genomics ; Models, Statistical ; Monte Carlo Method ; Open Reading Frames ; Phylogeny ; Saccharomyces/*genetics ; Selection, Genetic ; Sequence Alignment/*methods ; Software ; Uncertainty
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2012-08-28
    Description: There are two competing hypotheses for the origin of the Indo-European language family. The conventional view places the homeland in the Pontic steppes about 6000 years ago. An alternative hypothesis claims that the languages spread from Anatolia with the expansion of farming 8000 to 9500 years ago. We used Bayesian phylogeographic approaches, together with basic vocabulary data from 103 ancient and contemporary Indo-European languages, to explicitly model the expansion of the family and test these hypotheses. We found decisive support for an Anatolian origin over a steppe origin. Both the inferred timing and root location of the Indo-European language trees fit with an agricultural expansion from Anatolia beginning 8000 to 9500 years ago. These results highlight the critical role that phylogeographic inference can play in resolving debates about human prehistory.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4112997/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4112997/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bouckaert, Remco -- Lemey, Philippe -- Dunn, Michael -- Greenhill, Simon J -- Alekseyenko, Alexander V -- Drummond, Alexei J -- Gray, Russell D -- Suchard, Marc A -- Atkinson, Quentin D -- 260864/European Research Council/International -- R01 GM086887/GM/NIGMS NIH HHS/ -- R01 HG006139/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2012 Aug 24;337(6097):957-60. doi: 10.1126/science.1219669.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Computer Science, University of Auckland, Auckland 1142, New Zealand.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22923579" target="_blank"〉PubMed〈/a〉
    Keywords: Agriculture/history ; Bayes Theorem ; *Cultural Evolution ; History, Ancient ; Humans ; Language/*history ; Linguistics/history ; Phylogeography ; Turkey ; Vocabulary
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2013-09-14
    Description: The global epidemic of multidrug-resistant Salmonella Typhimurium DT104 provides an important example, both in terms of the agent and its resistance, of a widely disseminated zoonotic pathogen. Here, with an unprecedented national collection of isolates collected contemporaneously from humans and animals and including a sample of internationally derived isolates, we have used whole-genome sequencing to dissect the phylogenetic associations of the bacterium and its antimicrobial resistance genes through the course of an epidemic. Contrary to current tenets supporting a single homogeneous epidemic, we demonstrate that the bacterium and its resistance genes were largely maintained within animal and human populations separately and that there was limited transmission, in either direction. We also show considerable variation in the resistance profiles, in contrast to the largely stable bacterial core genome, which emphasizes the critical importance of integrated genotypic data sets in understanding the ecology of bacterial zoonoses and antimicrobial resistance.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4012302/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4012302/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mather, A E -- Reid, S W J -- Maskell, D J -- Parkhill, J -- Fookes, M C -- Harris, S R -- Brown, D J -- Coia, J E -- Mulvey, M R -- Gilmour, M W -- Petrovska, L -- de Pinna, E -- Kuroda, M -- Akiba, M -- Izumiya, H -- Connor, T R -- Suchard, M A -- Lemey, P -- Mellor, D J -- Haydon, D T -- Thomson, N R -- 098051/Wellcome Trust/United Kingdom -- 260864/European Research Council/International -- AI107034/AI/NIAID NIH HHS/ -- HG006139/HG/NHGRI NIH HHS/ -- R01 AI107034/AI/NIAID NIH HHS/ -- R01 GM086887/GM/NIGMS NIH HHS/ -- R01 HG006139/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2013 Sep 27;341(6153):1514-7. doi: 10.1126/science.1240578. Epub 2013 Sep 12.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24030491" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Drug Resistance, Multiple, Bacterial/*genetics ; Epidemics ; Genome, Bacterial ; *Host-Pathogen Interactions ; Humans ; Molecular Sequence Data ; Phylogeny ; Salmonella Infections/epidemiology/*microbiology ; Salmonella Infections, Animal/epidemiology/*microbiology ; Salmonella typhimurium/*classification/drug effects/genetics ; Zoonoses/*microbiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 1998-10-23
    Description: A map of 30,181 human gene-based markers was assembled and integrated with the current genetic map by radiation hybrid mapping. The new gene map contains nearly twice as many genes as the previous release, includes most genes that encode proteins of known function, and is twofold to threefold more accurate than the previous version. A redesigned, more informative and functional World Wide Web site (www.ncbi.nlm.nih.gov/genemap) provides the mapping information and associated data and annotations. This resource constitutes an important infrastructure and tool for the study of complex genetic traits, the positional cloning of disease genes, the cross-referencing of mammalian genomes, and validated human transcribed sequences for large-scale studies of gene expression.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Deloukas, P -- Schuler, G D -- Gyapay, G -- Beasley, E M -- Soderlund, C -- Rodriguez-Tome, P -- Hui, L -- Matise, T C -- McKusick, K B -- Beckmann, J S -- Bentolila, S -- Bihoreau, M -- Birren, B B -- Browne, J -- Butler, A -- Castle, A B -- Chiannilkulchai, N -- Clee, C -- Day, P J -- Dehejia, A -- Dibling, T -- Drouot, N -- Duprat, S -- Fizames, C -- Fox, S -- Gelling, S -- Green, L -- Harrison, P -- Hocking, R -- Holloway, E -- Hunt, S -- Keil, S -- Lijnzaad, P -- Louis-Dit-Sully, C -- Ma, J -- Mendis, A -- Miller, J -- Morissette, J -- Muselet, D -- Nusbaum, H C -- Peck, A -- Rozen, S -- Simon, D -- Slonim, D K -- Staples, R -- Stein, L D -- Stewart, E A -- Suchard, M A -- Thangarajah, T -- Vega-Czarny, N -- Webber, C -- Wu, X -- Hudson, J -- Auffray, C -- Nomura, N -- Sikela, J M -- Polymeropoulos, M H -- James, M R -- Lander, E S -- Hudson, T J -- Myers, R M -- Cox, D R -- Weissenbach, J -- Boguski, M S -- Bentley, D R -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 1998 Oct 23;282(5389):744-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Sanger Centre, Hinxton Hall, Hinxton, Cambridge CB10 1SA UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/9784132" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Chromosomes, Human/*genetics ; Expressed Sequence Tags ; Gene Expression ; Genetic Markers ; *Genome, Human ; Human Genome Project ; Humans ; Internet ; *Physical Chromosome Mapping ; Rats ; Sequence Tagged Sites
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2011-11-04
    Description: Despite decades of research, the roles of climate and humans in driving the dramatic extinctions of large-bodied mammals during the Late Quaternary period remain contentious. Here we use ancient DNA, species distribution models and the human fossil record to elucidate how climate and humans shaped the demographic history of woolly rhinoceros, woolly mammoth, wild horse, reindeer, bison and musk ox. We show that climate has been a major driver of population change over the past 50,000 years. However, each species responds differently to the effects of climatic shifts, habitat redistribution and human encroachment. Although climate change alone can explain the extinction of some species, such as Eurasian musk ox and woolly rhinoceros, a combination of climatic and anthropogenic effects appears to be responsible for the extinction of others, including Eurasian steppe bison and wild horse. We find no genetic signature or any distinctive range dynamics distinguishing extinct from surviving species, emphasizing the challenges associated with predicting future responses of extant mammals to climate and human-mediated habitat change.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4070744/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4070744/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lorenzen, Eline D -- Nogues-Bravo, David -- Orlando, Ludovic -- Weinstock, Jaco -- Binladen, Jonas -- Marske, Katharine A -- Ugan, Andrew -- Borregaard, Michael K -- Gilbert, M Thomas P -- Nielsen, Rasmus -- Ho, Simon Y W -- Goebel, Ted -- Graf, Kelly E -- Byers, David -- Stenderup, Jesper T -- Rasmussen, Morten -- Campos, Paula F -- Leonard, Jennifer A -- Koepfli, Klaus-Peter -- Froese, Duane -- Zazula, Grant -- Stafford, Thomas W Jr -- Aaris-Sorensen, Kim -- Batra, Persaram -- Haywood, Alan M -- Singarayer, Joy S -- Valdes, Paul J -- Boeskorov, Gennady -- Burns, James A -- Davydov, Sergey P -- Haile, James -- Jenkins, Dennis L -- Kosintsev, Pavel -- Kuznetsova, Tatyana -- Lai, Xulong -- Martin, Larry D -- McDonald, H Gregory -- Mol, Dick -- Meldgaard, Morten -- Munch, Kasper -- Stephan, Elisabeth -- Sablin, Mikhail -- Sommer, Robert S -- Sipko, Taras -- Scott, Eric -- Suchard, Marc A -- Tikhonov, Alexei -- Willerslev, Rane -- Wayne, Robert K -- Cooper, Alan -- Hofreiter, Michael -- Sher, Andrei -- Shapiro, Beth -- Rahbek, Carsten -- Willerslev, Eske -- R01 HG003229/HG/NHGRI NIH HHS/ -- England -- Nature. 2011 Nov 2;479(7373):359-64. doi: 10.1038/nature10574.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Centre for GeoGenetics, University of Copenhagen, Oster Voldgade 5-7, DK-1350 Copenhagen K, Denmark.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22048313" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Bayes Theorem ; *Biota ; Bison ; Climate Change/*history ; DNA, Mitochondrial/analysis/genetics ; Europe ; *Extinction, Biological ; Fossils ; Genetic Variation ; Geography ; History, Ancient ; Horses ; Human Activities/*history ; Humans ; Mammals/genetics/*physiology ; Mammoths ; Molecular Sequence Data ; Population Dynamics ; Reindeer ; Siberia ; Species Specificity ; Time Factors
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2015-06-09
    Description: Understanding the spatiotemporal patterns of emergence and circulation of new human seasonal influenza virus variants is a key scientific and public health challenge. The global circulation patterns of influenza A/H3N2 viruses are well characterized, but the patterns of A/H1N1 and B viruses have remained largely unexplored. Here we show that the global circulation patterns of A/H1N1 (up to 2009), B/Victoria, and B/Yamagata viruses differ substantially from those of A/H3N2 viruses, on the basis of analyses of 9,604 haemagglutinin sequences of human seasonal influenza viruses from 2000 to 2012. Whereas genetic variants of A/H3N2 viruses did not persist locally between epidemics and were reseeded from East and Southeast Asia, genetic variants of A/H1N1 and B viruses persisted across several seasons and exhibited complex global dynamics with East and Southeast Asia playing a limited role in disseminating new variants. The less frequent global movement of influenza A/H1N1 and B viruses coincided with slower rates of antigenic evolution, lower ages of infection, and smaller, less frequent epidemics compared to A/H3N2 viruses. Detailed epidemic models support differences in age of infection, combined with the less frequent travel of children, as probable drivers of the differences in the patterns of global circulation, suggesting a complex interaction between virus evolution, epidemiology, and human behaviour.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499780/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499780/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bedford, Trevor -- Riley, Steven -- Barr, Ian G -- Broor, Shobha -- Chadha, Mandeep -- Cox, Nancy J -- Daniels, Rodney S -- Gunasekaran, C Palani -- Hurt, Aeron C -- Kelso, Anne -- Klimov, Alexander -- Lewis, Nicola S -- Li, Xiyan -- McCauley, John W -- Odagiri, Takato -- Potdar, Varsha -- Rambaut, Andrew -- Shu, Yuelong -- Skepner, Eugene -- Smith, Derek J -- Suchard, Marc A -- Tashiro, Masato -- Wang, Dayan -- Xu, Xiyan -- Lemey, Philippe -- Russell, Colin A -- 093488/Wellcome Trust/United Kingdom -- 093488/Z/10/Z/Wellcome Trust/United Kingdom -- 095831/Wellcome Trust/United Kingdom -- 260864/European Research Council/International -- MR/J008761/1/Medical Research Council/United Kingdom -- R01 AI 107034/AI/NIAID NIH HHS/ -- R01 AI107034/AI/NIAID NIH HHS/ -- R01 TW008246/TW/FIC NIH HHS/ -- R01 TW008246-01/TW/FIC NIH HHS/ -- U01 GM110721/GM/NIGMS NIH HHS/ -- U01 GM110721-01/GM/NIGMS NIH HHS/ -- U117512723/Medical Research Council/United Kingdom -- U54 GM111274/GM/NIGMS NIH HHS/ -- England -- Nature. 2015 Jul 9;523(7559):217-20. doi: 10.1038/nature14460. Epub 2015 Jun 8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. ; 1] MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London SW7 2AZ, UK [2] Fogarty International Center, National Institutes of Health, Bethesda, Maryland 20892, USA. ; World Health Organization (WHO) Collaborating Centre for Reference and Research on Influenza, Melbourne, Victoria 3000, Australia. ; SGT Medical College, Hospital and Research Institute, Village Budhera, District Gurgaon, Haryana 122505, India. ; National Institute of Virology, Pune 411001, India. ; WHO Collaborating Center for Reference and Research on Influenza, Centers for Disease Control and Prevention, Atlanta, Georgia 30329, USA. ; WHO Collaborating Center for Reference and Research on Influenza, Medical Research Council National Institute for Medical Research (NIMR), London NW7 1AA, UK. ; King Institute of Preventive Medicine and Research, Guindy, Chennai 600032, India. ; 1] World Health Organization (WHO) Collaborating Centre for Reference and Research on Influenza, Melbourne, Victoria 3000, Australia [2] Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria 3010, Australia. ; Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK. ; WHO Collaborating Center for Reference and Research on Influenza, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China. ; WHO Collaborating Center for Reference and Research on Influenza, National Institute of Infectious Diseases, Tokyo 208-0011, Japan. ; 1] Fogarty International Center, National Institutes of Health, Bethesda, Maryland 20892, USA [2] Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3JT, UK [3] Centre for Immunology, Infection and Evolution, University of Edinburgh, Edinburgh EH9 3FL, UK. ; 1] Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK [2] Department of Viroscience, Erasmus Medical Center, 3015 Rotterdam, The Netherlands. ; 1] Department of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, California 90095, USA [2] Department of Biomathematics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, California 90095, USA [3] Department of Human Genetics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, California 90095, USA. ; Department of Microbiology and Immunology, Rega Institute, KU Leuven - University of Leuven, 3000 Leuven, Belgium. ; Department of Veterinary Medicine, University of Cambridge, Cambridge CB3 0ES, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26053121" target="_blank"〉PubMed〈/a〉
    Keywords: Age Factors ; *Antigenic Variation ; Global Health ; Humans ; Influenza A virus/classification/*genetics ; Influenza B virus/classification/*genetics ; Influenza, Human/*epidemiology/*virology ; Phylogeny ; Phylogeography ; Seasons
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    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 9
    Publication Date: 2014-10-04
    Description: Thirty years after the discovery of HIV-1, the early transmission, dissemination, and establishment of the virus in human populations remain unclear. Using statistical approaches applied to HIV-1 sequence data from central Africa, we show that from the 1920s Kinshasa (in what is now the Democratic Republic of Congo) was the focus of early transmission and the source of pre-1960 pandemic viruses elsewhere. Location and dating estimates were validated using the earliest HIV-1 archival sample, also from Kinshasa. The epidemic histories of HIV-1 group M and nonpandemic group O were similar until ~1960, after which group M underwent an epidemiological transition and outpaced regional population growth. Our results reconstruct the early dynamics of HIV-1 and emphasize the role of social changes and transport networks in the establishment of this virus in human populations.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4254776/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4254776/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Faria, Nuno R -- Rambaut, Andrew -- Suchard, Marc A -- Baele, Guy -- Bedford, Trevor -- Ward, Melissa J -- Tatem, Andrew J -- Sousa, Joao D -- Arinaminpathy, Nimalan -- Pepin, Jacques -- Posada, David -- Peeters, Martine -- Pybus, Oliver G -- Lemey, Philippe -- 092807/Wellcome Trust/United Kingdom -- 095831/Wellcome Trust/United Kingdom -- MR/K010174/1/Medical Research Council/United Kingdom -- R01 AI050529/AI/NIAID NIH HHS/ -- R01 HG006139/HG/NHGRI NIH HHS/ -- R37 AI050529/AI/NIAID NIH HHS/ -- New York, N.Y. -- Science. 2014 Oct 3;346(6205):56-61. doi: 10.1126/science.1256739. Epub 2014 Oct 2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK. KU Leuven - University of Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, Minderbroedersstraat 10, B-3000 Leuven, Belgium. ; Institute of Evolutionary Biology, University of Edinburgh, Ashworth Laboratories, Kings Buildings, West Mains Road, Edinburgh EH9 3JT, UK. Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA. Centre for Immunity, Infection and Evolution, University of Edinburgh, Kings Buildings, West Mains Road, Edinburgh EH9 3JT, UK. ; Departments of Biomathematics and Human Genetics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA 90095-1766, USA. Department of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, CA 90095-1766, USA. ; KU Leuven - University of Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, Minderbroedersstraat 10, B-3000 Leuven, Belgium. ; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. ; Institute of Evolutionary Biology, University of Edinburgh, Ashworth Laboratories, Kings Buildings, West Mains Road, Edinburgh EH9 3JT, UK. ; Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA. Department of Geography and Environment, University of Southampton, Highfield, Southampton, UK. ; KU Leuven - University of Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, Minderbroedersstraat 10, B-3000 Leuven, Belgium. Centro de Malaria e outras Doencas Tropicais and Unidade de Microbiologia, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Rua da Junqueira 100, 1349-008 Lisbon, Portugal. ; Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK. ; Department of Microbiology and Infectious Diseases, Universite de Sherbrooke, CHUS, 3001, 12eme Avenue Nord, Sherbrooke, QC J1H 5N4, Canada. ; Department of Biochemistry, Genetics and Immunology, University of Vigo, Vigo 36310, Spain. ; Laboratoire Retrovirus, UMI233, Institut de Recherche pour le Developpement and University of Montpellier, 911 Avenue Agropolis, BP5045, 34032 Montpellier, France. ; Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK. philippe.lemey@rega.kuleuven.be oliver.pybus@zoo.ox.ac.uk. ; KU Leuven - University of Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, Minderbroedersstraat 10, B-3000 Leuven, Belgium. philippe.lemey@rega.kuleuven.be oliver.pybus@zoo.ox.ac.uk.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25278604" target="_blank"〉PubMed〈/a〉
    Keywords: Acquired Immunodeficiency Syndrome/*epidemiology/history/transmission ; Communicable Diseases, Emerging/*epidemiology/history/transmission ; Democratic Republic of the Congo ; Evolution, Molecular ; HIV-1/classification/genetics/*physiology ; History, 20th Century ; History, 21st Century ; Humans ; *Pandemics/history ; Phylogeny ; Population Dynamics/history ; Recombination, Genetic ; Urbanization/history/trends
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 10
    Publication Date: 2014-10-21
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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