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      Viral Metagenome-Based Precision Surveillance of Pig Population at Large Scale Reveals Viromic Signatures of Sample Types and Influence of Farming Management on Pig Virome

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          ABSTRACT

          Pigs are a major meat source worldwide and a pillar of Chinese animal husbandry; hence, their health and safety are a prioritized concern of the national economy. Although pig viruses have been continuously investigated, the full extent of the pig virome has remained unknown and emerging viruses are still a major threat to the pig industry. Here, we report a comprehensive study to delineate the pig virome of 1,841 healthy weaned pigs from 45 commercial farms collected from 25 major pig-producing regions across China. A viromic sequence data set, named Pigs_VIRES, which matched 96,586 viral genes from at least 249 genera within 66 families and which almost tripled the number of previously published pig viromic genes, was established. The majority of the mammalian viruses were closely related to currently known ones. A comparison with previously published viromes of bovines, avians, and humans has revealed the distinct composition of Pigs_VIRES, which has provided characteristic viromic signatures of serum, pharyngeal, and anal samples that were significantly influenced by farming management and disease control measures. Taken together, Pigs_VIRES has revealed the most complete viromic data set of healthy pigs to date. The compiled data also provide useful guidance to pig viral disease control and prevention and the biosafety management of pig farms. Especially, the established viromic protocol has created a precision surveillance strategy to potentially innovate currently used surveillance methods of animal infectious diseases, particularly by making precision surveillance available to other animal species on a large scale or even during a nationwide surveillance campaign.

          IMPORTANCE Pigs are deeply involved in human lives; hence, their viruses are associated with public health. Here, we established the most comprehensive virome of healthy piglets to date, which provides a viromic baseline of weaned pigs for disease prevention and control, highlighting that longitudinal viromic monitoring is needed to better understand the dynamics of the virome in pig development and disease occurrence. The present study also shows how high standards of animal farm management with strict biosafety measures can significantly minimize the risk of introduction of pathogenic viruses into pig farms. Particularly, the viromic strategy established, i.e., high-throughput detection and analyses of various known and unknown pathogenic viruses in a single test at large scale, has completely innovated current surveillance measures in provision of timely and precise detection of all potentially existing pathogenic viruses and can be widely applied in other animal species.

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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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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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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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                Author and article information

                Contributors
                Role: Editor
                Journal
                mSystems
                mSystems
                msystems
                mSystems
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2379-5077
                8 June 2021
                May-Jun 2021
                8 June 2021
                : 6
                : 3
                : e00420-21
                Affiliations
                [a ]Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Institute of Military Veterinary Medicine, Academy of Military Medical Sciences, Changchun, Jilin Province, China
                [b ]College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan Province, China
                [c ]College of Life Sciences and Engineering, Foshan University, Foshan, Guangdong Province, China
                [d ]College of Veterinary Medicine, Yunnan Agricultural University, Kunming, Yunnan Province, China
                [e ]Guangxi Key Laboratory of Veterinary Biotechnology, Guangxi Veterinary Research Institute, Nanning, Guangxi Zhuang Autonomous Region, China
                [f ]College of Life Sciences, Ningxia University, Yinchuan, Ningxia Hui Autonomous Region, China
                [g ]College of Life Sciences and Food Engineering, Hebei University of Engineering, Handan, Hebei Province, China
                [h ]Zoonoses Institute, College of Veterinary Medicine, Jilin University, Changchun, Jilin Province, China
                [i ]Center of Animal Disease Prevention and Control of Rongchang District, Rongchang, Chongqing Municipality, China
                [j ]Animal Disease Prevention and Control & Healthy Breeding Engineering Technology Research Center, Mianyang Normal University, Mianyang, Sichuan Province, China
                [k ]Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu Province, China
                Johns Hopkins Bloomberg School of Public Health
                Author notes

                Biao He and Wenjie Gong contributed equally to this work. Author order was determined in order of decreasing seniority.

                Citation He B, Gong W, Yan X, Zhao Z, Yang L, Tan Z, Xu L, Zhu A, Zhang J, Rao J, Yu X, Jiang J, Lu Z, Zhang Y, Wu J, Li Y, Shi Y, Jiang Q, Chen X, Tu C. 2021. Viral metagenome-based precision surveillance of pig population at large scale reveals viromic signatures of sample types and influence of farming management on pig virome. mSystems 6:e00420-21. https://doi.org/10.1128/mSystems.00420-21.

                Author information
                https://orcid.org/0000-0001-7587-152X
                https://orcid.org/0000-0002-7239-7188
                https://orcid.org/0000-0002-8134-7502
                Article
                mSystems00420-21
                10.1128/mSystems.00420-21
                8269232
                34100634
                8042347e-877b-4673-875f-89fdc4d6a9c8
                Copyright © 2021 He et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 14 April 2021
                : 15 May 2021
                Page count
                supplementary-material: 10, Figures: 7, Tables: 0, Equations: 0, References: 72, Pages: 18, Words: 11139
                Funding
                Funded by: National Key Research and Development Program of China, FundRef https://doi.org/10.13039/501100012166;
                Award ID: 2017YFD0500104
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                May/June 2021

                pigs,biosafety,farm management,organ specificity,precision surveillance,virome

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