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      Long-term co-circulation of multiple influenza A viruses in pigs, Guangxi, China

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          ABSTRACT

          Influenza A viruses (IAVs) pose a persistent potential threat to human health because of the spillover from avian and swine infections. Extensive surveillance was performed in 12 cities of Guangxi, China, during 2018 and 2023. A total of 2540 samples (including 2353 nasal swabs and 187 lung tissues) were collected from 18 pig farms with outbreaks of respiratory disease. From these, 192 IAV-positive samples and 19 genomic sequences were obtained. We found that the H1 and H3 swine influenza A viruses (swIAVs) of multiple lineages and genotypes have continued to co-circulate during that time in this region. Genomic analysis revealed the Eurasian avian-like H1N1 swIAVs (G4) still remained predominant in pig populations. Strikingly, the novel multiple H3N2 genotypes were found to have been generated through the repeated introduction of the early H3N2 North American triple reassortant viruses (TR H3N2 lineage) that emerged in USA and Canada in 1998 and 2005, respectively. Notably, when the matrix gene segment derived from the H9N2 avian influenza virus was introduced into endemic swIAVs, this produced a novel quadruple reassortant H1N2 swIAV that could pose a potential risk for zoonotic infection.

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          Most cited references42

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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            MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

            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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              SOAP: short oligonucleotide alignment program.

              We have developed a program SOAP for efficient gapped and ungapped alignment of short oligonucleotides onto reference sequences. The program is designed to handle the huge amounts of short reads generated by parallel sequencing using the new generation Illumina-Solexa sequencing technology. SOAP is compatible with numerous applications, including single-read or pair-end resequencing, small RNA discovery and mRNA tag sequence mapping. SOAP is a command-driven program, which supports multi-threaded parallel computing, and has a batch module for multiple query sets. http://soap.genomics.org.cn.
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                Author and article information

                Journal
                Emerg Microbes Infect
                Emerg Microbes Infect
                Emerging Microbes & Infections
                Taylor & Francis
                2222-1751
                4 April 2024
                2024
                4 April 2024
                : 13
                : 1
                : 2337673
                Affiliations
                [a ]Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University , Nanning, People’s Republic of China
                [b ]Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, People’s Republic of China
                [c ]Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Nanning, People’s Republic of China
                [d ]Guangxi Institute of Veterinary Medicine , Nanning, People’s Republic of China
                [e ]Guangxi Nongken Yongxin Animal Husbandry Group Co. Ltd., Nanning, People’s Republic of China
                [f ]Nanning Zhufulai Animal Health Management Co. Ltd. , Nanning, People’s Republic of China
                [g ]Department of Microbiology, Icahn School of Medicine at Mount Sinai , New York, NY, USA
                [h ]Global Health and Emerging Pathogens Institute , Icahn School of Medicine at Mount Sinai , New York, NY, USA
                [i ]Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai , New York, NY, USA
                Author notes
                [CONTACT ] Ying Chen yingchen@ 123456gxu.edu.cn Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University , Nanning 530004, People’s Republic of China Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning 530004, People’s Republic of China Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Nanning 530004, People’s Republic of China
                Adolfo García-Sastre Adolfo.Garcia-Sastre@ 123456mssm.edu Department of Microbiology, Icahn School of Medicine at Mount Sinai , New York, NY 10029, USA Global Health and Emerging Pathogens Institute , Icahn School of Medicine at Mount Sinai , New York, NY 10029, USA Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai , New York, NY 10029, USA
                [*]

                Chongqiang Huang, Liangzheng Yu and Yi Xu contributed equally to this article.

                Supplemental data for this article can be accessed online at https://doi.org/10.1080/22221751.2024.2337673.

                Article
                2337673
                10.1080/22221751.2024.2337673
                11005871
                38572517
                9e0f6233-7c80-470a-8544-053f98ff97a6
                © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., Ltd

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

                History
                Page count
                Figures: 6, Tables: 1, Equations: 0, References: 42, Pages: 12
                Categories
                Emerging Seasonal and Pandemic Influenza Infections
                Research Article

                swine influenza virus,eurasian avian-like h1n1 and human-like h3n2,multiple reassortment,h9n2 avian influenza virus,pandemic potential

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