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      Disentangling the role of poultry farms and wild birds in the spread of highly pathogenic avian influenza virus in Europe

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          Abstract

          In winter 2016–7, Europe was severely hit by an unprecedented epidemic of highly pathogenic avian influenza viruses (HPAIVs), causing a significant impact on animal health, wildlife conservation, and livestock economic sustainability. By applying phylodynamic tools to virus sequences collected during the epidemic, we investigated when the first infections occurred, how many infections were unreported, which factors influenced virus spread, and how many spillover events occurred. HPAIV was likely introduced into poultry farms during the autumn, in line with the timing of wild birds’ migration. In Germany, Hungary, and Poland, the epidemic was dominated by farm-to-farm transmission, showing that understanding of how farms are connected would greatly help control efforts. In the Czech Republic, the epidemic was dominated by wild bird-to-farm transmission, implying that more sustainable prevention strategies should be developed to reduce HPAIV exposure from wild birds. Inferred transmission parameters will be useful to parameterize predictive models of HPAIV spread. None of the predictors related to live poultry trade, poultry census, and geographic proximity were identified as supportive predictors of HPAIV spread between farms across borders. These results are crucial to better understand HPAIV transmission dynamics at the domestic–wildlife interface with the view to reduce the impact of future epidemics.

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          Most cited references54

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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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            Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7

            Abstract Bayesian inference of phylogeny using Markov chain Monte Carlo (MCMC) plays a central role in understanding evolutionary history from molecular sequence data. Visualizing and analyzing the MCMC-generated samples from the posterior distribution is a key step in any non-trivial Bayesian inference. We present the software package Tracer (version 1.7) for visualizing and analyzing the MCMC trace files generated through Bayesian phylogenetic inference. Tracer provides kernel density estimation, multivariate visualization, demographic trajectory reconstruction, conditional posterior distribution summary, and more. Tracer is open-source and available at http://beast.community/tracer.
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              ggtree : an r package for visualization and annotation of phylogenetic trees with their covariates and other associated data

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                Author and article information

                Contributors
                Journal
                Virus Evol
                Virus Evol
                vevolu
                Virus Evolution
                Oxford University Press (UK )
                2057-1577
                2022
                18 August 2022
                18 August 2022
                : 8
                : 2
                : veac073
                Affiliations
                departmentDepartment of Biosystems Science and Engineering, ETH Zurich , Mattenstrasse, Basel 4058, Switzerland
                Swiss Institute of Bioinformatics , Quartier Sorge, Lausanne 1015, Switzerland
                departmentDepartment of Biosystems Science and Engineering, ETH Zurich , Mattenstrasse, Basel 4058, Switzerland
                Swiss Institute of Bioinformatics , Quartier Sorge, Lausanne 1015, Switzerland
                departmentDepartment of Biosystems Science and Engineering, ETH Zurich , Mattenstrasse, Basel 4058, Switzerland
                Swiss Institute of Bioinformatics , Quartier Sorge, Lausanne 1015, Switzerland
                departmentDepartment of Biosystems Science and Engineering, ETH Zurich , Mattenstrasse, Basel 4058, Switzerland
                Swiss Institute of Bioinformatics , Quartier Sorge, Lausanne 1015, Switzerland
                Friedrich-Loeffler-Institut , Suedufer 10, Greifswald – Insel Riems 17489, Germany
                Friedrich-Loeffler-Institut , Suedufer 10, Greifswald – Insel Riems 17489, Germany
                Friedrich-Loeffler-Institut , Suedufer 10, Greifswald – Insel Riems 17489, Germany
                departmentDepartment of Poultry Diseases, National Veterinary Research Institute , Al. Partyzantow 57, Pulawy 24-100, Poland
                DaNAm Vet Molbiol , Herman Ottó utca 5, Kőszeg 9730, Hungary
                State Veterinary Institute Prague , Sidlistni 136/24, Prague 165 03, Czech Republic
                departmentIHAP, Université de Toulouse, INRAE, ENVT , 23 chemin des capelles, Toulouse 31076, France
                departmentDepartment of Biosystems Science and Engineering, ETH Zurich , Mattenstrasse, Basel 4058, Switzerland
                Swiss Institute of Bioinformatics , Quartier Sorge, Lausanne 1015, Switzerland
                Author notes
                Author information
                https://orcid.org/0000-0002-8245-9290
                https://orcid.org/0000-0002-2774-4822
                https://orcid.org/0000-0001-6220-2239
                https://orcid.org/0000-0002-5318-665X
                https://orcid.org/0000-0003-1857-7660
                https://orcid.org/0000-0002-1571-3279
                https://orcid.org/0000-0001-9632-5499
                https://orcid.org/0000-0001-6431-535X
                Article
                veac073
                10.1093/ve/veac073
                9752641
                9229cd49-c0a7-4e1b-bda3-bc2eeee58477
                © The Author(s) 2022. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 04 April 2022
                : 21 July 2022
                : 18 August 2022
                : 08 August 2022
                : 09 September 2022
                Page count
                Pages: 10
                Funding
                Funded by: HORIZON EUROPE Marie Sklodowska-Curie Actions, DOI 10.13039/100018694;
                Award ID: 842621
                Categories
                Research Article
                AcademicSubjects/MED00860
                AcademicSubjects/SCI01130
                AcademicSubjects/SCI02285

                phylodynamics,highly pathogenic avian influenza,virus transmission and evolution,domestic–wildlife interface

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