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      Characterization of old RHDV strains by complete genome sequencing identifies a novel genetic group

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          Abstract

          Rabbit hemorrhagic disease (RHD) is a veterinary disease that affects the European rabbit and has a significant economic and ecological negative impact. In Portugal, rabbit hemorrhagic disease virus (RHDV) was reported in 1989 and still causes enzootic outbreaks. Several recombination events have been detected in RHDV strains, including in the first reported outbreak. Here we describe the occurrence of recombination in RHDV strains recovered from rabbit and Iberian hare samples collected in the mid-1990s in Portugal. Characterization of full genomic sequences revealed the existence of a single recombination breakpoint at the boundary of the non-structural and the structural encoding regions, further supporting the importance of this region as a recombination hotspot in lagoviruses. Phylogenetic analysis showed that in the structural region, the recombinant strains were similar to pathogenic G1 strains, but in the non-structural region they formed a new group that diverged ~13% from known strains. No further reports of such group exist, but this recombination event was also detected in an Iberian hare that was associated with the earliest species jump in RHDV. Our results highlight the importance of the characterization of full genomes to disclose RHDV evolution and show that lagoviruses’ diversity has been significantly undersampled.

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          MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

          We announce the release of an advanced version of the Molecular Evolutionary Genetics Analysis (MEGA) software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis. In version 6.0, MEGA now enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny. A new Timetree Wizard in MEGA6 facilitates this timetree inference by providing a graphical user interface (GUI) to specify the phylogeny and calibration constraints step-by-step. This version also contains enhanced algorithms to search for the optimal trees under evolutionary criteria and implements a more advanced memory management that can double the size of sequence data sets to which MEGA can be applied. Both GUI and command-line versions of MEGA6 can be downloaded from www.megasoftware.net free of charge.
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            Why do RNA viruses recombine?

            Key Points RNA viruses are able to undergo two forms of recombination: RNA recombination, which (in principle) can occur in any type of RNA virus, and reassortment, which is restricted to those viruses with segmented genomes. Rates of RNA recombination vary markedly among RNA viruses. Some viruses, particularly those with negative-sense single-stranded genomes, exhibit such low rates of recombination that they are effectively clonal. By contrast, some positive-sense single-stranded RNA viruses and some retroviruses such as HIV exhibit high rates of recombination that can exceed the rates of mutation when measured per nucleotide. Although recombination is often argued to represent a form of sexual reproduction, there is little evidence that recombination in RNA viruses evolved as a way of creating advantageous genotypes or removing deleterious mutations. In particular, there is no association between recombination frequency and the burden of a deleterious mutation. Similarly, there is little evidence that recombination could have been selected as a form of genetic repair. The strongest association for rates of recombination in RNA viruses is with genome structure. Hence, negative-sense single-stranded RNA viruses may recombine at low rates because of the restrictive association of genomic RNA in a ribonucleoprotein complex, as well as a lack of substrates for template switching, whereas some retroviruses recombine rapidly because their virions contain two genome copies and template switching between these copies is an inevitable part of the viral replication cycle. We therefore hypothesize that recombination in RNA viruses is a mechanistic by-product of the processivity of the viral polymerase that is used in replication, and that it varies with genome structure.
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              Norovirus Recombination in ORF1/ORF2 Overlap

              Norovirus (NoV) genogroups I and II (GI and GII) are now recognized as the predominant worldwide cause of outbreaks of acute gastroenteritis in humans. Three recombinant NoV GII isolates were identified and characterized, 2 of which are unrelated to any previously published recombinant NoV. Using data from the current study, published sequences, database searches, and molecular techniques, we identified 23 recombinant NoV GII and 1 recombinant NoV GI isolates. Analysis of the genetic relationships among the recombinant NoV GII isolates identified 9 independent recombinant sequences; the other 14 strains were close relatives. Two of the 9 independent recombinant NoV were closely related to other recombinants only in the polymerase region, and in a similar fashion 1 recombinant NoV was closely related to another only in the capsid region. Breakpoint analysis of recombinant NoV showed that recombination occurred in the open reading frame (ORF)1/ORF2 overlap. We provide evidence to support the theory of the role of subgenomic RNA promoters as recombination hotspots and describe a simple mechanism of how recombination might occur in NoV.
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                Author and article information

                Contributors
                jabrantes@cibio.up.pt
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                19 October 2017
                19 October 2017
                2017
                : 7
                : 13599
                Affiliations
                [1 ]ISNI 0000 0001 1503 7226, GRID grid.5808.5, CIBIO, InBIO - Research Network in Biodiversity and Evolutionary Biology, Universidade do Porto, Campus de Vairão, Rua Padre Armando Quintas, ; 4485-661 Vairão, Portugal
                [2 ]ISNI 0000 0001 1503 7226, GRID grid.5808.5, Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Rua do Campo Alegre, s/n, ; 4169-007 Porto, Portugal
                [3 ]ISNI 0000 0001 2192 5772, GRID grid.253613.0, Wildlife Biology Program, Department of Ecosystem and Conservation Sciences, University of Montana, ; Missoula, 59812 Montana USA
                [4 ]ISNI 0000 0000 7818 3776, GRID grid.421335.2, Instituto de Investigação e Formação Avançada em Ciências e Tecnologias da Saúde (CESPU), ; Gandra, Portugal
                Author information
                http://orcid.org/0000-0003-2254-1230
                http://orcid.org/0000-0003-4797-0939
                Article
                13902
                10.1038/s41598-017-13902-2
                5648873
                29051566
                9d49d22e-dd2c-4f57-a113-1fb45d57fbbe
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 13 October 2016
                : 4 April 2017
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