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      Identification and genome analysis of a novel picornavirus from captive belugas ( Delphinapterus leucas) in China

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          Abstract

          The discovery of new viruses is important for predicting their potential threats to the health of humans and other animals. A novel picornavirus was identified from oral, throat, and anal swab samples collected from belugas ( Delphinapterus leucas), from Dalian Sun Asia Tourism Holding Co., China, between January and December 2018, using a metagenomics approach. The genome of this novel PicoV-HMU-1 strain was 8197 nucleotides (nt) in length, with a open reading frame (from 1091 to 8074 nt) that encoded a polyprotein precursor of 2328 amino acids. Moreover, the genomic length and GC content of PicoV-HMU-1 were within the ranges found in other picornaviruses, and the genome organization was also similar. Nevertheless, PicoV-HMU-1 had a lower amino acid identity and distinct host species compared with other members of the Picornaviridae family. Phylogenetic trees were constructed based on the P1 and 3D amino acid sequences of PicoV-HMU-1 along with representative members of the Picornaviridae family, which showed that PicoV-HMU-1 was related to unclassified bat picornaviruses groups. These findings suggest that the PicoV-HMU-1 strain represents a potentially novel genus of picornavirus. These data can enhance our understanding of the picornavirus genetic diversity and evolution.

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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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            The mechanism of eukaryotic translation initiation and principles of its regulation.

            Protein synthesis is principally regulated at the initiation stage (rather than during elongation or termination), allowing rapid, reversible and spatial control of gene expression. Progress over recent years in determining the structures and activities of initiation factors, and in mapping their interactions in ribosomal initiation complexes, have advanced our understanding of the complex translation initiation process. These developments have provided a solid foundation for studying the regulation of translation initiation by mechanisms that include the modulation of initiation factor activity (which affects almost all scanning-dependent initiation) and through sequence-specific RNA-binding proteins and microRNAs (which affect individual mRNAs).
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              Risk factors for human disease emergence.

              A comprehensive literature review identifies 1415 species of infectious organism known to be pathogenic to humans, including 217 viruses and prions, 538 bacteria and rickettsia, 307 fungi, 66 protozoa and 287 helminths. Out of these, 868 (61%) are zoonotic, that is, they can be transmitted between humans and animals, and 175 pathogenic species are associated with diseases considered to be 'emerging'. We test the hypothesis that zoonotic pathogens are more likely to be associated with emerging diseases than non-emerging ones. Out of the emerging pathogens, 132 (75%) are zoonotic, and overall, zoonotic pathogens are twice as likely to be associated with emerging diseases than non-zoonotic pathogens. However, the result varies among taxa, with protozoa and viruses particularly likely to emerge, and helminths particularly unlikely to do so, irrespective of their zoonotic status. No association between transmission route and emergence was found. This study represents the first quantitative analysis identifying risk factors for human disease emergence.
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                Author and article information

                Contributors
                pjzhang@idsse.ac.cn
                dujiangemail@163.com
                yinfeifeiff@163.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                25 October 2021
                25 October 2021
                2021
                : 11
                : 21018
                Affiliations
                [1 ]GRID grid.443397.e, ISNI 0000 0004 0368 7493, Key Laboratory of Tropical Translational Medicine of Ministry of Education, , Hainan Medical University, ; Haikou, 571199 China
                [2 ]GRID grid.9227.e, ISNI 0000000119573309, Institute of Deep-Sea Science and Engineering, , Chinese Academy of Sciences, ; Beijing, China
                [3 ]GRID grid.443397.e, ISNI 0000 0004 0368 7493, Hainan Medical University, The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Hainan Medical University, ; Haikou, 571199 China
                [4 ]GRID grid.443397.e, ISNI 0000 0004 0368 7493, Department of Pathogen Biology, , Hainan Medical University, ; Haikou, 571199 China
                [5 ]GRID grid.506261.6, ISNI 0000 0001 0706 7839, NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, , Chinese Academy of Medical Sciences, Peking Union Medical College, ; Beijing, 100005 China
                [6 ]Dalian Sun Asia Tourism Holding Co. Ltd., Dalian, 116023 China
                [7 ]Qingdao Polar Haichang Ocean Park, Qingdao, 266003 China
                [8 ]GRID grid.439104.b, ISNI 0000 0004 1798 1925, State Key Laboratory of Virology and National Virus Resource Center, , Wuhan Institute of Virology, Chinese Academy of Sciences, ; Wuhan, China
                Article
                605
                10.1038/s41598-021-00605-y
                8549006
                34697355
                a8049eb0-151d-4dba-8e02-fe7c5407ef95
                © The Author(s) 2021

                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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 19 May 2021
                : 13 October 2021
                Funding
                Funded by: Hainan Provincial Natural Science Foundation of China
                Award ID: 820QN267
                Award ID: 820RC628
                Award Recipient :
                Funded by: Key Research and Development Plan of Hainan Province
                Award ID: ZDYF2020150
                Award Recipient :
                Funded by: Hainan talent development project
                Award ID: SRC200003
                Award Recipient :
                Funded by: Youth Innovation Promotion Association of Chinese Academy of Sciences
                Award ID: 2020363
                Funded by: National Natural Science Foundation of China
                Award ID: 32060015
                Award ID: 82060378
                Award Recipient :
                Funded by: Scientific and Technological Program of Strategic Priority in Chinese Academy of Sciences
                Award ID: XDB42030403
                Funded by: Scientific Research Foundation of the Higher Education Institutions of Hainan Province
                Award ID: Hnky2021-44
                Award Recipient :
                Funded by: Scientific Research Foundation of the Higher Education Institutions of Hainan Province
                Award ID: Hnky2021-40
                Award Recipient :
                Funded by: Research project of Hainan academician innovation platform
                Award ID: YSPTZX202004
                Funded by: Major Science and Technology Program of Hainan Province
                Award ID: ZDKJ202003
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                evolutionary genetics,microbial genetics,viral genetics,virology,metagenomics,viral evolution,microbiology

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