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      Glycosylation of Hemagglutinin and Neuraminidase of Influenza A Virus as Signature for Ecological Spillover and Adaptation among Influenza Reservoirs

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          Abstract

          Glycosylation of the hemagglutinin (HA) and neuraminidase (NA) of the influenza provides crucial means for immune evasion and viral fitness in a host population. However, the time-dependent dynamics of each glycosylation sites have not been addressed. We monitored the potential N-linked glycosylation (NLG) sites of over 10,000 HA and NA of H1N1 subtype isolated from human, avian, and swine species over the past century. The results show a shift in glycosylation sites as a hallmark of 1918 and 2009 pandemics, and also for the 1976 “abortive pandemic”. Co-segregation of particular glycosylation sites was identified as a characteristic of zoonotic transmission from animal reservoirs, and interestingly, of “reverse zoonosis” of human viruses into swine populations as well. After the 2009 pandemic, recent isolates accrued glycosylation at canonical sites in HA, reflecting gradual seasonal adaptation, and a novel glycosylation in NA as an independent signature for adaptation among humans. Structural predictions indicated a remarkably pleiotropic influence of glycans on multiple HA epitopes for immune evasion, without sacrificing the receptor binding of HA or the activity of NA. The results provided the rationale for establishing the ecological niche of influenza viruses among the reservoir and could be implemented for influenza surveillance and improving pandemic preparedness.

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          The co-pathogenesis of influenza viruses with bacteria in the lung.

          Concern that a highly pathogenic virus might cause the next influenza pandemic has spurred recent research into influenza and its complications. Bacterial superinfection in the lungs of people suffering from influenza is a key element that promotes severe disease and mortality. This co-pathogenesis is characterized by complex interactions between co-infecting pathogens and the host, leading to the disruption of physical barriers, dysregulation of immune responses and delays in a return to homeostasis. The net effect of this cascade can be the outgrowth of the pathogens, immune-mediated pathology and increased morbidity. In this Review, advances in our understanding of the underlying mechanisms are discussed, and the key questions that will drive the field forwards are articulated.
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            BLAST-EXPLORER helps you building datasets for phylogenetic analysis

            Background The right sampling of homologous sequences for phylogenetic or molecular evolution analyses is a crucial step, the quality of which can have a significant impact on the final interpretation of the study. There is no single way for constructing datasets suitable for phylogenetic analysis, because this task intimately depends on the scientific question we want to address, Moreover, database mining softwares such as BLAST which are routinely used for searching homologous sequences are not specifically optimized for this task. Results To fill this gap, we designed BLAST-Explorer, an original and friendly web-based application that combines a BLAST search with a suite of tools that allows interactive, phylogenetic-oriented exploration of the BLAST results and flexible selection of homologous sequences among the BLAST hits. Once the selection of the BLAST hits is done using BLAST-Explorer, the corresponding sequence can be imported locally for external analysis or passed to the phylogenetic tree reconstruction pipelines available on the Phylogeny.fr platform. Conclusions BLAST-Explorer provides a simple, intuitive and interactive graphical representation of the BLAST results and allows selection and retrieving of the BLAST hit sequences based a wide range of criterions. Although BLAST-Explorer primarily aims at helping the construction of sequence datasets for further phylogenetic study, it can also be used as a standard BLAST server with enriched output. BLAST-Explorer is available at http://www.phylogeny.fr
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              Prediction of glycosylation across the human proteome and the correlation to protein function.

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                Author and article information

                Journal
                Viruses
                Viruses
                viruses
                Viruses
                MDPI
                1999-4915
                07 April 2018
                April 2018
                : 10
                : 4
                : 183
                Affiliations
                [1 ]Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea; yhjh0323@ 123456yonsei.ac.kr (Y.H.J.); yunbin829@ 123456hanmail.net (S.B.K.); onlysmile79@ 123456naver.com (C.M.L.)
                [2 ]Vaccine Translational Research Center, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea; kimpaul225@ 123456naver.com
                [3 ]Department of Integrated OMICS for Biomedical Science, College of World Class University, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea
                [4 ]Biomedicine Pharmaceutical Group, CJ Healthcare R&D Center, CJ HealthCare, 811 Deokpyeong-ro, Majang-myeon, Icheon 17389, Korea
                Author notes
                [* ]Correspondence: gyoonhee@ 123456yonsei.ac.kr (G.H.); blseong@ 123456yonsei.ac.kr (B.L.S.); Tel.: +82-2-2123-2882 (G.H.); +82-2-2123-2885 (B.L.S.)
                Article
                viruses-10-00183
                10.3390/v10040183
                5923477
                29642453
                8f3bca28-f046-44e4-92a7-3fd94fbdc643
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 25 February 2018
                : 05 April 2018
                Categories
                Article

                Microbiology & Virology
                influenza,glycosylation,hemagglutinin,neuraminidase,reverse zoonosis,evolutionary biology,ecology

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