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      Canine distemper virus in the Serengeti ecosystem: molecular adaptation to different carnivore species

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          Abstract

          Was the 1993/1994 fatal canine distemper virus ( CDV) epidemic in lions and spotted hyaenas in the Serengeti ecosystem caused by the recent spillover of a virulent domestic dog strain or one well adapted to these noncanids? We examine this question using sequence data from 13 ‘Serengeti’ strains including five complete genomes obtained between 1993 and 2011. Phylogenetic and haplotype network analyses reveal that strains from noncanids during the epidemic were more closely related to each other than to those from domestic or wild canids. All noncanid ‘Serengeti’ strains during the epidemic encoded: (1) one novel substitution G134S in the CDV‐V protein; and (2) the rare amino acid combination 519I/549H at two sites under positive selection in the region of the CDV‐H protein that binds to SLAM ( CD 150) host cell receptors. Worldwide, only a few noncanid strains in the America II lineage encode CDV‐H 519I/549H. All canid ‘Serengeti’ strains during the epidemic coded CDV‐V 134G, and CDV‐H 519R/549Y, or 519R/549H. A functional assay of cell entry revealed the highest performance by CDV‐H proteins encoding 519I/549H in cells expressing lion SLAM receptors, and the highest performance by proteins encoding 519R/549Y, typical of dog strains worldwide, in cells expressing dog SLAM receptors. Our findings are consistent with an epidemic in lions and hyaenas caused by CDV variants better adapted to noncanids than canids, but not with the recent spillover of a dog strain. Our study reveals a greater complexity of CDV molecular epidemiology in multihost environments than previously thought.

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          Dating of the human-ape splitting by a molecular clock of mitochondrial DNA.

          A new statistical method for estimating divergence dates of species from DNA sequence data by a molecular clock approach is developed. This method takes into account effectively the information contained in a set of DNA sequence data. The molecular clock of mitochondrial DNA (mtDNA) was calibrated by setting the date of divergence between primates and ungulates at the Cretaceous-Tertiary boundary (65 million years ago), when the extinction of dinosaurs occurred. A generalized least-squares method was applied in fitting a model to mtDNA sequence data, and the clock gave dates of 92.3 +/- 11.7, 13.3 +/- 1.5, 10.9 +/- 1.2, 3.7 +/- 0.6, and 2.7 +/- 0.6 million years ago (where the second of each pair of numbers is the standard deviation) for the separation of mouse, gibbon, orangutan, gorilla, and chimpanzee, respectively, from the line leading to humans. Although there is some uncertainty in the clock, this dating may pose a problem for the widely believed hypothesis that the pipedal creature Australopithecus afarensis, which lived some 3.7 million years ago at Laetoli in Tanzania and at Hadar in Ethiopia, was ancestral to man and evolved after the human-ape splitting. Another likelier possibility is that mtDNA was transferred through hybridization between a proto-human and a proto-chimpanzee after the former had developed bipedalism.
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            Full-length human immunodeficiency virus type 1 genomes from subtype C-infected seroconverters in India, with evidence of intersubtype recombination.

            The development of an effective human immunodeficiency virus type 1 (HIV-1) vaccine is likely to depend on knowledge of circulating variants of genes other than the commonly sequenced gag and env genes. In addition, full-genome data are particularly limited for HIV-1 subtype C, currently the most commonly transmitted subtype in India and worldwide. Likewise, little is known about sequence variation of HIV-1 in India, the country facing the largest burden of HIV worldwide. Therefore, the objective of this study was to clone and characterize the complete genome of HIV-1 from seroconverters infected with subtype C variants in India. Cocultured HIV-1 isolates were obtained from six seroincident individuals from Pune, India, and virtually full-length HIV-1 genomes were amplified, cloned, and sequenced from each. Sequence analysis revealed that five of the six genomes were of subtype C, while one was a mosaic of subtypes A and C, with multiple breakpoints in env, nef, and the 3' long terminal repeat as determined by both maximal chi2 analysis and phylogenetic bootstrapping. Sequences were compared for preservation of known cytotoxic T lymphocyte (CTL) epitopes. Compared with those of the HIV-1LAI sequence, 38% of well-defined CTL epitopes were identical. The proportion of nonconservative substitutions for Env, at 61%, was higher (P < 0.001) than those for Gag (24%), Pol (18%), and Nef (32%). Therefore, characterized CTL epitopes demonstrated substantial differences from subtype B laboratory strains, which were most pronounced in Env. Because these clones were obtained from Indian seroconverters, they are likely to facilitate vaccine-related efforts in India by providing potential antigens for vaccine candidates as well as for assays of vaccine responsiveness.
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              Interferons and viruses: an interplay between induction, signalling, antiviral responses and virus countermeasures.

              The interferon (IFN) system is an extremely powerful antiviral response that is capable of controlling most, if not all, virus infections in the absence of adaptive immunity. However, viruses can still replicate and cause disease in vivo, because they have some strategy for at least partially circumventing the IFN response. We reviewed this topic in 2000 [Goodbourn, S., Didcock, L. & Randall, R. E. (2000). J Gen Virol 81, 2341-2364] but, since then, a great deal has been discovered about the molecular mechanisms of the IFN response and how different viruses circumvent it. This information is of fundamental interest, but may also have practical application in the design and manufacture of attenuated virus vaccines and the development of novel antiviral drugs. In the first part of this review, we describe how viruses activate the IFN system, how IFNs induce transcription of their target genes and the mechanism of action of IFN-induced proteins with antiviral action. In the second part, we describe how viruses circumvent the IFN response. Here, we reflect upon possible consequences for both the virus and host of the different strategies that viruses have evolved and discuss whether certain viruses have exploited the IFN response to modulate their life cycle (e.g. to establish and maintain persistent/latent infections), whether perturbation of the IFN response by persistent infections can lead to chronic disease, and the importance of the IFN system as a species barrier to virus infections. Lastly, we briefly describe applied aspects that arise from an increase in our knowledge in this area, including vaccine design and manufacture, the development of novel antiviral drugs and the use of IFN-sensitive oncolytic viruses in the treatment of cancer.
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                Author and article information

                Contributors
                east@izw-berlin.de
                Journal
                Mol Ecol
                Mol. Ecol
                10.1111/(ISSN)1365-294X
                MEC
                Molecular Ecology
                John Wiley and Sons Inc. (Hoboken )
                0962-1083
                1365-294X
                07 December 2016
                April 2017
                : 26
                : 7 , MICROBIAL LOCAL ADAPTATION ( doiID: 10.1111/mec.2017.26.issue-7 )
                : 2111-2130
                Affiliations
                [ 1 ] Leibniz Institute for Zoo and Wildlife Research Alfred‐Kowalke‐Str. 17 10315 Berlin Germany
                [ 2 ] Institut für Virologie Freie Universität Berlin Robert‐von‐Ostertag‐Str. 7‐13 14163 Berlin Germany
                [ 3 ] Animal Health Diagnostic Centre College of Veterinary Medicine Cornell University Ithaca NY 14853 USA
                [ 4 ] Berlin Center for Genomics in Biodiversity Research Königin‐Luise‐Str. 6‐8 14195 Berlin Germany
                [ 5 ] Department of Medical Statistics Faculty of Medicine University of Göttingen Humboldtallee 32 37073 Göttingen Germany
                [ 6 ] Tanzania Wildlife Research Institute P.O. Box 661 Arusha Tanzania
                [ 7 ] EcoHealth Alliance 460 West 34th St New York NY 10001‐2320 USA
                [ 8 ]Present address: Boehringer Ingelheim Veterinary Research Center Bemeroder Str. 31 30559 Hannover Germany
                [ 9 ]Present address: Friedrich‐Loeffler‐Insitut Bundesforschungsinstitut für Tiergesundheit Südufer 10 17493 Greifswald‐Insel Riems Germany
                Author notes
                [*] [* ]Correspondence: Marion L. East, Fax: +49 30 5126 104; E‐mail: east@ 123456izw-berlin.de
                [†]

                Contributed equally to this work.

                Article
                MEC13902
                10.1111/mec.13902
                7168383
                27928865
                9ffe2f47-7342-440a-9c72-c17fbc9ca1e3
                © 2016 John Wiley & Sons Ltd

                This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

                History
                : 24 June 2015
                : 25 August 2016
                : 02 September 2016
                Page count
                Figures: 6, Tables: 0, Pages: 20, Words: 12865
                Funding
                Funded by: Leibniz Institute for Zoo and Wildlife Research
                Funded by: Deutsche Forschungsgemeinschaft , open-funder-registry 10.13039/501100001659;
                Award ID: DFG‐GRAKO 1121
                Funded by: ZIBI
                Funded by: Freie Universität Berlin , open-funder-registry 10.13039/501100007537;
                Funded by: EcoHealth Alliance
                Categories
                Microbial Local Adaptation
                Insights on Microbial Adaptation from Genomics
                Custom metadata
                2.0
                April 2017
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.0 mode:remove_FC converted:15.04.2020

                Ecology
                canine distemper virus,lion,serengeti,slam (cd150),spotted hyaena,virus–host adaptation
                Ecology
                canine distemper virus, lion, serengeti, slam (cd150), spotted hyaena, virus–host adaptation

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