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      The genomic landscape of swine influenza A viruses in Southeast Asia

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          Significance

          Influenza A viruses cause significant morbidity and mortality in humans and swine, yet we have limited understanding of how influenza A viruses evolve within pigs in Southeast Asia. Here, we analyzed influenza A virus genomic data collected from pigs in Cambodia, combined with a global dataset, and show the prolonged cryptic circulation of diverse swIAV lineages in Southeast Asia, including some that resulted from reverse zoonotic transmission to pigs that occurred up to 20 B.P. We uncover the breadth of H1 and H3 diversity present in Cambodian swine, identifying the complex genomic reassortment processes and spatial movement of viruses across geographical borders that drive the emergence of new reassortant viruses, posing an undetermined risk to both humans and pigs.

          Abstract

          Swine are a primary source for the emergence of pandemic influenza A viruses. The intensification of swine production, along with global trade, has amplified the transmission and zoonotic risk of swine influenza A virus (swIAV). Effective surveillance is essential to uncover emerging virus strains; however gaps remain in our understanding of the swIAV genomic landscape in Southeast Asia. More than 4,000 nasal swabs were collected from pigs in Cambodia, yielding 72 IAV-positive samples by RT-qPCR and 45 genomic sequences. We unmasked the cocirculation of multiple lineages of genetically diverse swIAV of pandemic concern. Genomic analyses revealed a novel European avian-like H1N2 swIAV reassortant variant with North American triple reassortant internal genes, that emerged approximately seven years before its first detection in pigs in 2021. Using phylogeographic reconstruction, we identified south central China as the dominant source of swine viruses disseminated to other regions in China and Southeast Asia. We also identified nine distinct swIAV lineages in Cambodia, which diverged from their closest ancestors between two and 15 B.P., indicating significant undetected diversity in the region, including reverse zoonoses of human H1N1/2009 pandemic and H3N2 viruses. A similar period of cryptic circulation of swIAVs occurred in the decades before the H1N1/2009 pandemic. The hidden diversity of swIAV observed here further emphasizes the complex underlying evolutionary processes present in this region, reinforcing the importance of genomic surveillance at the human–swine interface for early warning of disease emergence to avoid future pandemics.

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          Most cited references68

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

            The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.
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              Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

              S Altschul (1997)
              The BLAST programs are widely used tools for searching protein and DNA databases for sequence similarities. For protein comparisons, a variety of definitional, algorithmic and statistical refinements described here permits the execution time of the BLAST programs to be decreased substantially while enhancing their sensitivity to weak similarities. A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original. In addition, a method is introduced for automatically combining statistically significant alignments produced by BLAST into a position-specific score matrix, and searching the database using this matrix. The resulting Position-Specific Iterated BLAST (PSI-BLAST) program runs at approximately the same speed per iteration as gapped BLAST, but in many cases is much more sensitive to weak but biologically relevant sequence similarities. PSI-BLAST is used to uncover several new and interesting members of the BRCT superfamily.
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                Author and article information

                Contributors
                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                8 August 2023
                15 August 2023
                8 August 2023
                : 120
                : 33
                : e2301926120
                Affiliations
                [1] aProgramme in Emerging Infectious Diseases, Duke-National University of Singapore Medical School , Singapore 169857, Singapore
                [2] bNational Animal Health and Production Research Institute, General Directorate of Animal Health and Production , Phnom Penh 120608, Cambodia
                [3] cDepartment of Global Health and Development, London School of Hygiene & Tropical Medicine , London WC1E 7HT, United Kingdom
                [4] dLivestock Development for Community Livelihood , Phnom Penh 120108, Cambodia
                [5] eUniversity of Health Sciences , Phnom Penh 120210, Cambodia
                [6] fCentre for Outbreak Preparedness, Duke-NUS Medical School , Singapore 169857, Singapore
                [7] gSingHealth Duke-NUS Global Health Institute, SingHealth Duke-NUS Academic Medical Centre , Singapore 169857, Singapore
                [8] hDuke Global Health Institute, Duke University , Durham, NC 27708
                Author notes
                1To whom correspondence may be addressed. Email: gavin.smith@ 123456duke-nus.edu.sg or yvonne.su@ 123456duke-nus.edu.sg .

                Edited by Peter Palese, Icahn School of Medicine at Mount Sinai, New York; received February 10, 2023; accepted June 7, 2023

                Author information
                https://orcid.org/0000-0001-5505-6931
                https://orcid.org/0000-0001-6011-039X
                https://orcid.org/0000-0001-5685-0504
                https://orcid.org/0000-0003-1707-5319
                https://orcid.org/0000-0003-3821-2407
                https://orcid.org/0009-0005-9200-6710
                https://orcid.org/0009-0002-1574-5518
                https://orcid.org/0009-0002-4955-4680
                https://orcid.org/0000-0003-2172-2689
                https://orcid.org/0000-0002-1525-8974
                https://orcid.org/0000-0002-3031-3820
                https://orcid.org/0000-0001-5031-468X
                https://orcid.org/0000-0003-4349-9211
                Article
                202301926
                10.1073/pnas.2301926120
                10438389
                37552753
                0af45b57-5bf6-4886-a4d3-6ccb120ac7d7
                Copyright © 2023 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                : 10 February 2023
                : 07 June 2023
                Page count
                Pages: 12, Words: 6860
                Funding
                Funded by: DOD | Defense Threat Reduction Agency (DTRA), FundRef 100000774;
                Award ID: HDTRA11810051
                Award Recipient : Michael Zeller Award Recipient : Jordan Ma Award Recipient : Foong Ying Wong Award Recipient : Sothyra Tum Award Recipient : Arata Hidano Award Recipient : Hannah Holt Award Recipient : Ty Chhay Award Recipient : Sorn San Award Recipient : Dina Koeut Award Recipient : Bunnary Seng Award Recipient : Sovanncheypo Chao Award Recipient : Giselle GK Ng Award Recipient : Zhuang Yan Award Recipient : Monidarin Chou Award Recipient : James W Rudge Award Recipient : Gavin JD Smith Award Recipient : Yvonne C. F. Su
                Funded by: HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID), FundRef 100000060;
                Award ID: 75N93021C00016
                Award Recipient : Foong Ying Wong Award Recipient : Gavin JD Smith Award Recipient : Yvonne C. F. Su
                Funded by: Ministry of Health -Singapore (MOH), FundRef 501100001350;
                Award ID: Duke-NUS Signature Research Programme
                Award Recipient : Gavin JD Smith
                Categories
                research-article, Research Article
                microbio, Microbiology
                423
                Biological Sciences
                Microbiology

                pandemic,zoonotic,european avian-like virus,evolution
                pandemic, zoonotic, european avian-like virus, evolution

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