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      Classification and characterization of human endogenous retroviruses; mosaic forms are common

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          Abstract

          Background

          Human endogenous retroviruses (HERVs) represent the inheritance of ancient germ-line cell infections by exogenous retroviruses and the subsequent transmission of the integrated proviruses to the descendants. ERVs have the same internal structure as exogenous retroviruses. While no replication-competent HERVs have been recognized, some retain up to three of four intact ORFs. HERVs have been classified before, with varying scope and depth, notably in the RepBase/RepeatMasker system. However, existing classifications are bewildering. There is a need for a systematic, unifying and simple classification. We strived for a classification which is traceable to previous classifications and which encompasses HERV variation within a limited number of clades.

          Results

          The human genome assembly GRCh 37/hg19 was analyzed with RetroTector, which primarily detects relatively complete Class I and II proviruses. A total of 3173 HERV sequences were identified. The structure of and relations between these proviruses was resolved through a multi-step classification procedure that involved a novel type of similarity image analysis (“Simage”) which allowed discrimination of heterogeneous (noncanonical) from homogeneous (canonical) HERVs. Of the 3173 HERVs, 1214 were canonical and segregated into 39 canonical clades (groups), belonging to class I (Gamma- and Epsilon-like), II (Beta-like) and III (Spuma-like). The groups were chosen based on (1) sequence (nucleotide and Pol amino acid), similarity, (2) degree of fit to previously published clades, often from RepBase, and (3) taxonomic markers. The groups fell into 11 supergroups. The 1959 noncanonical HERVs contained 31 additional, less well-defined groups. Simage analysis revealed several types of mosaicism, notably recombination and secondary integration. By comparing flanking sequences, LTRs and completeness of gene structure, we deduced that some noncanonical HERVs proliferated after the recombination event. Groups were further divided into envelope subgroups (altogether 94) based on sequence similarity and characteristic “immunosuppressive domain” motifs. Intra and inter(super)group, as well as intraclass, recombination involving envelope genes (“ env snatching”) was a common event. LTR divergence indicated that HERV-K(HML2) and HERVFC had the most recent integrations, HERVL and HUERSP3 the oldest.

          Conclusions

          A comprehensive HERV classification and characterization approach was undertaken. It should be applicable for classification of all ERVs. Recombination was common among HERV ancestors.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12977-015-0232-y) contains supplementary material, which is available to authorized users.

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          Most cited references106

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          Comparative analysis of molecular sequence data is essential for reconstructing the evolutionary histories of species and inferring the nature and extent of selective forces shaping the evolution of genes and species. Here, we announce the release of Molecular Evolutionary Genetics Analysis version 5 (MEGA5), which is a user-friendly software for mining online databases, building sequence alignments and phylogenetic trees, and using methods of evolutionary bioinformatics in basic biology, biomedicine, and evolution. The newest addition in MEGA5 is a collection of maximum likelihood (ML) analyses for inferring evolutionary trees, selecting best-fit substitution models (nucleotide or amino acid), inferring ancestral states and sequences (along with probabilities), and estimating evolutionary rates site-by-site. In computer simulation analyses, ML tree inference algorithms in MEGA5 compared favorably with other software packages in terms of computational efficiency and the accuracy of the estimates of phylogenetic trees, substitution parameters, and rate variation among sites. The MEGA user interface has now been enhanced to be activity driven to make it easier for the use of both beginners and experienced scientists. This version of MEGA is intended for the Windows platform, and it has been configured for effective use on Mac OS X and Linux desktops. It is available free of charge from http://www.megasoftware.net.
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            The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.
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              Repbase Update, a database of eukaryotic repetitive elements.

              Repbase Update is a comprehensive database of repetitive elements from diverse eukaryotic organisms. Currently, it contains over 3600 annotated sequences representing different families and subfamilies of repeats, many of which are unreported anywhere else. Each sequence is accompanied by a short description and references to the original contributors. Repbase Update includes Repbase Reports, an electronic journal publishing newly discovered transposable elements, and the Transposon Pub, a web-based browser of selected chromosomal maps of transposable elements. Sequences from Repbase Update are used to screen and annotate repetitive elements using programs such as Censor and RepeatMasker. Repbase Update is available on the worldwide web at http://www.girinst.org/Repbase_Update.html.
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                Author and article information

                Contributors
                Luana.vargiu@gmail.com
                protome@gmail.com
                goran.sperber@neuro.uu.se
                martacadeddu@hotmail.com
                Nicole.grandi2@gmail.com
                vbliksta@bbnett.no
                tramon@unica.it
                +46 186115593 , jonas.blomberg@medsci.uu.se
                Journal
                Retrovirology
                Retrovirology
                Retrovirology
                BioMed Central (London )
                1742-4690
                22 January 2016
                22 January 2016
                2016
                : 13
                : 7
                Affiliations
                [ ]Department of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy
                [ ]Center for Advanced Studies, Research and Development in Sardinia, CRS4, Pula, Italy
                [ ]Physiology Unit, Department of Neuroscience, Uppsala University, Uppsala, Sweden
                [ ]Department of Medical Sciences, Uppsala University Hospital, Dag Hammarskjölds Väg 17, Uppsala, 751 85 Sweden
                [ ]Nurideas S.r.l., Cagliari, Italy
                Article
                232
                10.1186/s12977-015-0232-y
                4724089
                26800882
                2477faa3-f5ff-49b9-9c2d-729669e080e3
                © Vargiu et al. 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 19 June 2015
                : 16 December 2015
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004359, Vetenskapsrådet;
                Award ID: 2003-5693
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Microbiology & Virology
                human endogenous retrovirus,classification,simage,bioinformatics,retrotector,phylogeny,recombination

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