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Hatuwal B, Goel V, Deliberto TJ, Lowe J, Emch M, Webby RJ, Wan XF. Spatial patterns of influenza A virus spread across compartments in commercial swine farms in the United States. Emerg Microbes Infect 2024; 13:2400530. [PMID: 39221652 PMCID: PMC11445930 DOI: 10.1080/22221751.2024.2400530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 08/08/2024] [Accepted: 08/30/2024] [Indexed: 09/04/2024]
Abstract
Multiple genetic variants of H1 and H3 influenza A viruses (IAVs) circulate concurrently in US swine farms. Understanding the spatial transmission patterns of IAVs among these farms is crucial for developing effective control strategies and mitigating the emergence of novel IAVs. In this study, we analysed 1909 IAV genomic sequences from 785 US swine farms, representing 33 farming systems across 12 states, primarily in the Midwest from 2004 to 2023. Bayesian phylogeographic analyses were performed to identify the dispersal patterns of both H1 and H3 virus genetic lineages and to elucidate their spatial migration patterns within and between different systems. Our results showed that both intra-system and inter-system migrations occurred between the swine farms, with intra-system migrations being more frequent. However, migration rates for H1 and H3 IAVs were similar between intra-system and inter-system migration events. Spatial migration patterns aligned with expected pig movement across different compartments of swine farming systems. Sow-Farms were identified as key sources of viruses, with bi-directional migration observed between these farms and other parts of the system, including Wean-to-Finish and Gilt-Development-Units. High intra-system migration was detected across farms in the same region, while spread to geographically distant intra- and inter-system farms was less frequent. These findings suggest that prioritizing resources towards systems frequently confronting influenza problems and targeting pivotal source farms, such as sow farms, could be an effective strategy for controlling influenza in US commercial swine operations.
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Affiliation(s)
- Bijaya Hatuwal
- Center for Influenza and Emerging Diseases, University of Missouri, Columbia, MO, USA
- Department of Electrical Engineering & Computer Science, College of Engineering, University of Missouri, Columbia, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Varun Goel
- Department of Geography, University of South Carolina, Columbia, SC, USA
- Carolina Population Center, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Thomas J Deliberto
- US Department of Agriculture Animal and Plant Health Inspection Service, Fort Collins, CO, USA
| | - Jim Lowe
- Department of Veterinary Clinical Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Michael Emch
- Carolina Population Center, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
- Department of Epidemiology, University of North Carolina School, Chapel Hill, NC, USA
- Department of Geography and Environment, University of North Carolina, Chapel Hill, NC, USA
| | - Richard J Webby
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Xiu-Feng Wan
- Center for Influenza and Emerging Diseases, University of Missouri, Columbia, MO, USA
- Department of Electrical Engineering & Computer Science, College of Engineering, University of Missouri, Columbia, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA
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2
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Jung B, Yeom M, An DJ, Kang A, Vu TTH, Na W, Byun Y, Song D. Large-Scale Serological Survey of Influenza A Virus in South Korean Wild Boar (Sus scrofa). ECOHEALTH 2024:10.1007/s10393-024-01685-8. [PMID: 38842623 DOI: 10.1007/s10393-024-01685-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 04/08/2024] [Indexed: 06/07/2024]
Abstract
In this comprehensive large-scale study, conducted from 2015 to 2019, 7,209 wild boars across South Korea were sampled to assess their exposure to influenza A viruses (IAVs). Of these, 250 (3.5%) were found to be IAV-positive by ELISA, and 150 (2.1%) by the hemagglutination inhibition test. Detected subtypes included 23 cases of pandemic 2009 H1N1, six of human seasonal H3N2, three of classical swine H1N1, 13 of triple-reassortant swine H1N2, seven of triple-reassortant swine H3N2, and seven of swine-origin H3N2 variant. Notably, none of the serum samples tested positive for avian IAV subtypes H3N8, H5N3, H7N7, and H9N2 or canine IAV subtype H3N2. This serologic analysis confirmed the exposure of Korean wild boars to various subtypes of swine and human influenza viruses, with some serum samples cross-reacting between swine and human strains, indicating potential infections with multiple IAVs. The results highlight the potential of wild boar as a novel mixing vessel, facilitating the adaptation of IAVs and their spillover to other hosts, including humans. In light of these findings, we recommend regular and frequent surveillance of circulating influenza viruses in the wild boar population as a proactive measure to prevent potential human influenza pandemics and wild boar influenza epizootics.
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Affiliation(s)
- Bud Jung
- Department of Pharmacy, College of Pharmacy, Korea University, Sejong-ro, Jochiwon-eup, Sejong-si, 30019, Republic of Korea
| | - Minjoo Yeom
- Department of Virology, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea
| | - Dong-Jun An
- Virus Disease Division, Animal and Plant Quarantine Agency, Gimcheon, Republic of Korea
| | - Aram Kang
- QuadMedicine R&D Centre, QuadMedicine, Inc, Seongnam, 13209, Republic of Korea
| | - Thi Thu Hang Vu
- Department of Pharmacy, College of Pharmacy, Korea University, Sejong-ro, Jochiwon-eup, Sejong-si, 30019, Republic of Korea
| | - Woonsung Na
- Dental Research Institute, School of Dentistry, Seoul National University, Seoul, 03080, Republic of Korea
- Department of Oral Microbiology and Immunology, School of Dentistry, Seoul National University, Seoul, Republic of Korea
| | - Youngjoo Byun
- Department of Pharmacy, College of Pharmacy, Korea University, Sejong-ro, Jochiwon-eup, Sejong-si, 30019, Republic of Korea.
| | - Daesub Song
- Department of Virology, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea.
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3
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Wang Y, Tang CY, Wan XF. Antigenic characterization of influenza and SARS-CoV-2 viruses. Anal Bioanal Chem 2022; 414:2841-2881. [PMID: 34905077 PMCID: PMC8669429 DOI: 10.1007/s00216-021-03806-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 11/21/2021] [Accepted: 11/24/2021] [Indexed: 12/24/2022]
Abstract
Antigenic characterization of emerging and re-emerging viruses is necessary for the prevention of and response to outbreaks, evaluation of infection mechanisms, understanding of virus evolution, and selection of strains for vaccine development. Primary analytic methods, including enzyme-linked immunosorbent/lectin assays, hemagglutination inhibition, neuraminidase inhibition, micro-neutralization assays, and antigenic cartography, have been widely used in the field of influenza research. These techniques have been improved upon over time for increased analytical capacity, and some have been mobilized for the rapid characterization of the SARS-CoV-2 virus as well as its variants, facilitating the development of highly effective vaccines within 1 year of the initially reported outbreak. While great strides have been made for evaluating the antigenic properties of these viruses, multiple challenges prevent efficient vaccine strain selection and accurate assessment. For influenza, these barriers include the requirement for a large virus quantity to perform the assays, more than what can typically be provided by the clinical samples alone, cell- or egg-adapted mutations that can cause antigenic mismatch between the vaccine strain and circulating viruses, and up to a 6-month duration of vaccine development after vaccine strain selection, which allows viruses to continue evolving with potential for antigenic drift and, thus, antigenic mismatch between the vaccine strain and the emerging epidemic strain. SARS-CoV-2 characterization has faced similar challenges with the additional barrier of the need for facilities with high biosafety levels due to its infectious nature. In this study, we review the primary analytic methods used for antigenic characterization of influenza and SARS-CoV-2 and discuss the barriers of these methods and current developments for addressing these challenges.
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Affiliation(s)
- Yang Wang
- MU Center for Influenza and Emerging Infectious Diseases (CIEID), University of Missouri, Columbia, MO, USA
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Cynthia Y Tang
- MU Center for Influenza and Emerging Infectious Diseases (CIEID), University of Missouri, Columbia, MO, USA
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
| | - Xiu-Feng Wan
- MU Center for Influenza and Emerging Infectious Diseases (CIEID), University of Missouri, Columbia, MO, USA.
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA.
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA.
- Department of Electrical Engineering & Computer Science, College of Engineering, University of Missouri, Columbia, MO, USA.
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4
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Time-Dependent Proinflammatory Responses Shape Virus Interference during Coinfections of Influenza A Virus and Influenza D Virus. Viruses 2022; 14:v14020224. [PMID: 35215819 PMCID: PMC8878573 DOI: 10.3390/v14020224] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 01/20/2022] [Accepted: 01/21/2022] [Indexed: 02/06/2023] Open
Abstract
Both influenza A virus (IAV) and influenza D virus (IDV) are enzootic in pigs. IAV causes approximately 100% morbidity with low mortality, whereas IDV leads to only mild respiratory diseases in pigs. In this study, we performed a series of coinfection experiments in vitro and in vivo to understand how IAV and IDV interact and cause pathogenesis during coinfection. The results showed that IAV inhibited IDV replication when infecting swine tracheal epithelial cells (STECs) with IAV 24 or 48 h prior to IDV inoculation and that IDV suppressed IAV replication when IDV preceded IAV inoculation by 48 h. Virus interference was not identified during simultaneous IAV/IDV infections or with 6 h between the two viral infections, regardless of their order. The interference pattern at 24 and 48 h correlated with proinflammatory responses induced by the first infection, which, for IDV, was slower than for IAV by about 24 h. The viruses did not interfere with each other if both infected the cells before proinflammatory responses were induced. Coinfection in pigs further demonstrated that IAV interfered with both viral shedding and virus replication of IDV, especially in the upper respiratory tract. Clinically, coinfection of IDV and IAV did not show significant enhancement of disease pathogenesis, compared with the pigs infected with IAV alone. In summary, this study suggests that interference during coinfection of IAV and IDV is primarily due to the proinflammatory response; therefore, it is dependent on the time between infections and the order of infection. This study facilitates our understanding of virus epidemiology and pathogenesis associated with IAV and IDV coinfection.
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Waters K, Gao C, Ykema M, Han L, Voth L, Tao YJ, Wan XF. Triple reassortment increases compatibility among viral ribonucleoprotein genes of contemporary avian and human influenza A viruses. PLoS Pathog 2021; 17:e1009962. [PMID: 34618879 PMCID: PMC8525756 DOI: 10.1371/journal.ppat.1009962] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Revised: 10/19/2021] [Accepted: 09/20/2021] [Indexed: 12/21/2022] Open
Abstract
Compatibility among the influenza A virus (IAV) ribonucleoprotein (RNP) genes affects viral replication efficiency and can limit the emergence of novel reassortants, including those with potential pandemic risks. In this study, we determined the polymerase activities of 2,451 RNP reassortants among three seasonal and eight enzootic IAVs by using a minigenome assay. Results showed that the 2009 H1N1 RNP are more compatible with the tested enzootic RNP than seasonal H3N2 RNP and that triple reassortment increased such compatibility. The RNP reassortants among 2009 H1N1, canine H3N8, and avian H4N6 IAVs had the highest polymerase activities. Residues in the RNA binding motifs and the contact regions among RNP proteins affected polymerase activities. Our data indicates that compatibility among seasonal and enzootic RNPs are selective, and enzoosis of multiple strains in the animal-human interface can facilitate emergence of an RNP with increased replication efficiency in mammals, including humans.
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Affiliation(s)
- Kaitlyn Waters
- Missouri University Center for Influenza and Emerging Infectious Diseases, University of Missouri, Columbia, Missouri, United States of America
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, Missouri, United States of America
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, United States of America
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Starkville, Mississippi, United States of America
| | - Cheng Gao
- Missouri University Center for Influenza and Emerging Infectious Diseases, University of Missouri, Columbia, Missouri, United States of America
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, United States of America
- Department of Electrical Engineering & Computer Science, College of Engineering, University of Missouri, Columbia, Missouri, United States of America
| | - Matthew Ykema
- Department of BioSciences, Rice University, Houston, Texas, United States of America
| | - Lei Han
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Starkville, Mississippi, United States of America
| | - Lynden Voth
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, Missouri, United States of America
| | - Yizhi Jane Tao
- Department of BioSciences, Rice University, Houston, Texas, United States of America
| | - Xiu-Feng Wan
- Missouri University Center for Influenza and Emerging Infectious Diseases, University of Missouri, Columbia, Missouri, United States of America
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, Missouri, United States of America
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, United States of America
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Starkville, Mississippi, United States of America
- Department of Electrical Engineering & Computer Science, College of Engineering, University of Missouri, Columbia, Missouri, United States of America
- * E-mail:
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Schülein A, Ritzmann M, Christian J, Schneider K, Neubauer-Juric A. Exposure of wild boar to Influenza A viruses in Bavaria: Analysis of seroprevalences and antibody subtype specificity before and after the panzootic of highly pathogenic avian influenza viruses A (H5N8). Zoonoses Public Health 2021; 68:503-515. [PMID: 33987931 DOI: 10.1111/zph.12841] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 04/01/2021] [Indexed: 01/19/2023]
Abstract
Swine influenza A viruses (S-IAV) circulate in wild boar populations worldwide. Subtypes primarily reflect those actually present within the respective pig industry. Accordingly, infections with swine H1N1, H1N2 and H3N2 have been reported for several regions of Germany. As pigs are susceptible not only to S-IAV but also to avian and human influenza A viruses, it is necessary to consider the possibility that new reassortant viruses with pandemic potential may arise in these new hosts. Therefore, in this study the impact of recent IAV epidemics on antibody prevalences in Bavarian wild boar was assessed. Important events considered were the H1N1pdm09 pandemic, which affected humans and swine, and the highly pathogenic avian influenza (HPAI) H5N8 panzootic in 2016 and 2017, affecting wild and domestic birds. IAV seroprevalences were determined analysing 1,396 samples from before and after the H5N8 panzootic, from various regions in Bavaria, a large administrative region in the South of Germany. Taken together, seroprevalences varied markedly from 1.44% to 12.59%, relative to region and time. However, no discrete correlation was found to population density either in wild boar or in pigs. Antibodies against H1N1 were the most prevalent. In addition, antibodies were detected reacting against H1N2 and against H1pdmNx reassortant viruses, already known to circulate in domestic pigs in Bavaria and notably also against the avian influenza A virus H5N8; the latter in samples taken in 2017. These results confirm the exposure of wild boar to IAV of diverse origin and the increasing variability of S-IAV present in the field. The necessity for continuous IAV surveillance not only of domestic swine but also of wildlife is emphasized.
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Affiliation(s)
- Anika Schülein
- Bavarian Health and Food Safety Authority, Oberschleissheim, Germany
| | - Mathias Ritzmann
- Clinic for Swine, Ludwig-Maximilians-Universität München, Oberschleissheim, Germany
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7
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Migliore S, Puleio R, Gaglio G, Vicari D, Seminara S, Sicilia ER, Galluzzo P, Cumbo V, Loria GR. A Neglected Parasite: Macracanthorhynchus hirudinaceus, First Report in Feral Pigs in a Natural Park of Sicily (Southern Italy). Front Vet Sci 2021; 8:659306. [PMID: 33996983 PMCID: PMC8113388 DOI: 10.3389/fvets.2021.659306] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 03/08/2021] [Indexed: 11/13/2022] Open
Abstract
Sanitary management and population control of feral pigs remains a major problem in public health, particularly in natural parks where hunting is prohibited and the extensive farming of livestock is common. Macracanthorhynchus hirudinaceus is a zoonotic parasite species with a worldwide distribution of which the natural definitive hosts are primarily pigs and wild boars (Sus scrofa). The present study describes the main anatomo-pathological and parasitological findings in the first case of M. hirudinaceus in feral pigs in the Madonie park in Sicily (Southern Italy). Overall, 52 acanthocephalans were collected from the small intestine of four infected feral pigs. The prevalence among the 36 examined animals was 11.1% with a mean Abundance (mA) and mean Intensity (mI) of 1.4 and 13, respectively. Pathological examination revealed grossly visible nodules on the external surface of the intestines, corresponding to the proboscis of M. hirudinaceus attached deeply into the intestinal wall. In these sites, severe inflammatory reactions in the tissue involved and the destruction of normal intestinal architecture, as well as necrosis and ulceration in the mucosa, submucosa, and part of the muscolaris mucosae were described. This is the first official report of this neglected zoonosis in Italy, in particular in a natural park where the extensive farming of domestic pigs is practiced. This could favor the spread of this parasite in domestic animals and the environment, increasing the accidental risk of infection in human residents of these areas.
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Affiliation(s)
- Sergio Migliore
- Istituto Zooprofilattico Sperimentale della Sicilia "A. Mirri", Palermo, Italy
| | - Roberto Puleio
- Istituto Zooprofilattico Sperimentale della Sicilia "A. Mirri", Palermo, Italy
| | - Gabriella Gaglio
- Dipartimento di Scienze Veterinarie, Università degli Studi di Messina, Messina, Italy.,Centro Interuniversitario di Ricerca in Parassitologia (CIRPAR), Naples, Italy
| | - Domenico Vicari
- Istituto Zooprofilattico Sperimentale della Sicilia "A. Mirri", Palermo, Italy
| | - Salvatore Seminara
- Istituto Zooprofilattico Sperimentale della Sicilia "A. Mirri", Palermo, Italy
| | | | - Paola Galluzzo
- Istituto Zooprofilattico Sperimentale della Sicilia "A. Mirri", Palermo, Italy
| | - Valentina Cumbo
- Istituto Zooprofilattico Sperimentale della Sicilia "A. Mirri", Palermo, Italy
| | - Guido Ruggero Loria
- Istituto Zooprofilattico Sperimentale della Sicilia "A. Mirri", Palermo, Italy
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Abstract
From its initial isolation in the USA in 2011 to the present, influenza D virus (IDV) has been detected in cattle and swine populations worldwide. IDV has exceptional thermal and acid stability and a broad host range. The virus utilizes cattle as its natural reservoir and amplification host with periodic spillover to other mammalian species, including swine. IDV infection can cause mild to moderate respiratory illnesses in cattle and has been implicated as a contributor to bovine respiratory disease (BRD) complex, which is the most common and costly disease affecting the cattle industry. Bovine and swine IDV outbreaks continue to increase globally, and there is increasing evidence indicating that IDV may have the potential to infect humans. This review discusses recent advances in IDV biology and epidemiology, and summarizes our current understanding of IDV pathogenesis and zoonotic potential.
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Affiliation(s)
- Jieshi Yu
- Department of Veterinary Science, Maxwell H. Gluck Equine Research Center, University of Kentucky, Lexington, Kentucky 40546, USA
| | - Feng Li
- Department of Veterinary Science, Maxwell H. Gluck Equine Research Center, University of Kentucky, Lexington, Kentucky 40546, USA
| | - Dan Wang
- Department of Veterinary Science, Maxwell H. Gluck Equine Research Center, University of Kentucky, Lexington, Kentucky 40546, USA
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9
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Chauhan RP, Gordon ML. A Systematic Review Analyzing the Prevalence and Circulation of Influenza Viruses in Swine Population Worldwide. Pathogens 2020; 9:pathogens9050355. [PMID: 32397138 PMCID: PMC7281378 DOI: 10.3390/pathogens9050355] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 04/02/2020] [Accepted: 04/09/2020] [Indexed: 01/04/2023] Open
Abstract
The global anxiety and a significant threat to public health due to the current COVID-19 pandemic reiterate the need for active surveillance for the zoonotic virus diseases of pandemic potential. Influenza virus due to its wide host range and zoonotic potential poses such a significant threat to public health. Swine serve as a “mixing vessel” for influenza virus reassortment and evolution which as a result may facilitate the emergence of new strains or subtypes of zoonotic potential. In this context, the currently available scientific data hold a high significance to unravel influenza virus epidemiology and evolution. With this objective, the current systematic review summarizes the original research articles and case reports of all the four types of influenza viruses reported in swine populations worldwide. A total of 281 articles were found eligible through screening of PubMed and Google Scholar databases and hence were included in this systematic review. The highest number of research articles (n = 107) were reported from Asia, followed by Americas (n = 97), Europe (n = 55), Africa (n = 18), and Australia (n = 4). The H1N1, H1N2, H3N2, and A(H1N1)pdm09 viruses were the most common influenza A virus subtypes reported in swine in most countries across the globe, however, few strains of influenza B, C, and D viruses were also reported in certain countries. Multiple reports of the avian influenza virus strains documented in the last two decades in swine in China, the United States, Canada, South Korea, Nigeria, and Egypt provided the evidence of interspecies transmission of influenza viruses from birds to swine. Inter-species transmission of equine influenza virus H3N8 from horse to swine in China expanded the genetic diversity of swine influenza viruses. Additionally, numerous reports of the double and triple-reassortant strains which emerged due to reassortments among avian, human, and swine strains within swine further increased the genetic diversity of swine influenza viruses. These findings are alarming hence active surveillance should be in place to prevent future influenza pandemics.
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10
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Pepin KM, Pedersen K, Wan XF, Cunningham FL, Webb CT, Wilber MQ. Individual-Level Antibody Dynamics Reveal Potential Drivers of Influenza A Seasonality in Wild Pig Populations. Integr Comp Biol 2020; 59:1231-1242. [PMID: 31251341 DOI: 10.1093/icb/icz118] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Swine are important in the ecology of influenza A virus (IAV) globally. Understanding the ecological role of wild pigs in IAV ecology has been limited because surveillance in wild pigs is often for antibodies (serosurveillance) rather than IAVs, as in humans and domestic swine. As IAV antibodies can persist long after an infection, serosurveillance data are not necessarily indicative of current infection risk. However, antibody responses to IAV infections cause a predictable antibody response, thus time of infection can be inferred from antibody levels in serological samples, enabling identification of risk factors of infection at estimated times of infection. Recent work demonstrates that these quantitative antibody methods (QAMs) can accurately recover infection dates, even when individual-level variation in antibody curves is moderately high. Also, the methodology can be implemented in a survival analysis (SA) framework to reduce bias from opportunistic sampling. Here we integrated QAMs and SA and applied this novel QAM-SA framework to understand the dynamics of IAV infection risk in wild pigs seasonally and spatially, and identify risk factors. We used national-scale IAV serosurveillance data from 15 US states. We found that infection risk was highest during January-March (54% of 61 estimated peaks), with 24% of estimated peaks occurring from May to July, and some low-level of infection risk occurring year-round. Time-varying IAV infection risk in wild pigs was positively correlated with humidity and IAV infection trends in domestic swine and humans, and did not show wave-like spatial spread of infection among states, nor more similar levels of infection risk among states with more similar meteorological conditions. Effects of host sex on IAV infection risk in wild pigs were generally not significant. Because most of the variation in infection risk was explained by state-level factors or infection risk at long-distances, our results suggested that predicting IAV infection risk in wild pigs is complicated by local ecological factors and potentially long-distance translocation of infection. In addition to revealing factors of IAV infection risk in wild pigs, our framework is broadly applicable for quantifying risk factors of disease transmission using opportunistic serosurveillance sampling, a common methodology in wildlife disease surveillance. Future research on the factors that determine individual-level antibody kinetics will facilitate the design of serosurveillance systems that can extract more accurate estimates of time-varying disease risk from quantitative antibody data.
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Affiliation(s)
- Kim M Pepin
- National Wildlife Research Center, USDA-APHIS, Wildlife Services, Fort Collins, CO 80521-2154, USA
| | - Kerri Pedersen
- USDA-APHIS, Wildlife Services, 920 Main Campus Drive, Suite 200, Raleigh, NC 27606, USA
| | - Xiu-Feng Wan
- Missouri University Center for Research on Influenza Systems Biology (CRISB), University of Missouri, Columbia, MO 65211, USA.,Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA.,Department of Electrical Engineering & Computer Science, College of Engineering, University of Missouri, Columbia, MO, USA.,Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.,MU Informatics Institute, University of Missouri, Columbia, MO, USA.,Department of Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA
| | - Fred L Cunningham
- National Wildlife Research Center, USDA-APHIS, Wildlife Services, Mississippi Field Station, MS 39762, USA
| | - Colleen T Webb
- Department of Biology, Colorado State University, Fort Collins, CO 80523, USA
| | - Mark Q Wilber
- National Wildlife Research Center, USDA-APHIS, Wildlife Services, Fort Collins, CO 80521-2154, USA.,Department of Biology, Colorado State University, Fort Collins, CO 80523, USA
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11
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Wilber MQ, Webb CT, Cunningham FL, Pedersen K, Wan XF, Pepin KM. Inferring seasonal infection risk at population and regional scales from serology samples. Ecology 2020; 101:e02882. [PMID: 31506932 PMCID: PMC6940506 DOI: 10.1002/ecy.2882] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 07/11/2019] [Accepted: 08/05/2019] [Indexed: 11/06/2022]
Abstract
Accurate estimates of seasonal infection risk can be used by animal health officials to predict future disease risk and improve understanding of the mechanisms driving disease dynamics. It can be difficult to estimate seasonal infection risk in wildlife disease systems because surveillance assays typically target antibodies (serosurveillance), which are not necessarily indicative of current infection, and serosurveillance sampling is often opportunistic. Recently developed methods estimate past time of infection from serosurveillance data using quantitative serological assays that indicate the amount of antibodies in a serology sample. However, current methods do not account for common opportunistic and uneven sampling associated with serosurveillance data. We extended the framework of survival analysis to improve estimates of seasonal infection risk from serosurveillance data across population and regional scales. We found that accounting for the right-censored nature of quantitative serology samples greatly improved estimates of seasonal infection risk, even when sampling was uneven in time. Survival analysis can also be used to account for common challenges when estimating infection risk from serology data, such as biases induced by host demography and continually elevated antibodies following infection. The framework developed herein is widely applicable for estimating seasonal infection risk from serosurveillance data in humans, wildlife, and livestock.
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Affiliation(s)
- Mark Q. Wilber
- Department of Biology, Colorado State University, Fort Collins, CO 80523, USA
- United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Research Center, Fort Collins, CO 80521-2154, USA
| | - Colleen T. Webb
- Department of Biology, Colorado State University, Fort Collins, CO 80523, USA
| | - Fred L. Cunningham
- United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Research Center, Mississippi Field Station, PO Box 6099, MS 39762, USA
| | - Kerri Pedersen
- United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, 920 Main Campus Drive, Suite 200, Raleigh, NC 27606
| | - Xiu-Feng Wan
- Missouri University Center for Research on Influenza Systems Biology, University of Missouri, Columbia, MO, USA
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA
- Department of Electrical Engineering & Computer Science, College of Engineering, University of Missouri, Columbia, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
- MU Informatics Institute, University of Missouri, Columbia, MO, USA
- Department of Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA
| | - Kim M. Pepin
- United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Research Center, Fort Collins, CO 80521-2154, USA
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12
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Tabak MA, Pedersen K, Miller RS. Detection error influences both temporal seroprevalence predictions and risk factors associations in wildlife disease models. Ecol Evol 2019; 9:10404-10414. [PMID: 31632645 PMCID: PMC6787870 DOI: 10.1002/ece3.5558] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 07/06/2019] [Indexed: 11/08/2022] Open
Abstract
Understanding the prevalence of pathogens in invasive species is essential to guide efforts to prevent transmission to agricultural animals, wildlife, and humans. Pathogen prevalence can be difficult to estimate for wild species due to imperfect sampling and testing (pathogens may not be detected in infected individuals and erroneously detected in individuals that are not infected). The invasive wild pig (Sus scrofa, also referred to as wild boar and feral swine) is one of the most widespread hosts of domestic animal and human pathogens in North America.We developed hierarchical Bayesian models that account for imperfect detection to estimate the seroprevalence of five pathogens (porcine reproductive and respiratory syndrome virus, pseudorabies virus, Influenza A virus in swine, Hepatitis E virus, and Brucella spp.) in wild pigs in the United States using a dataset of over 50,000 samples across nine years. To assess the effect of incorporating detection error in models, we also evaluated models that ignored detection error. Both sets of models included effects of demographic parameters on seroprevalence. We compared our predictions of seroprevalence to 40 published studies, only one of which accounted for imperfect detection.We found a range of seroprevalence among the pathogens with a high seroprevalence of pseudorabies virus, indicating significant risk to livestock and wildlife. Demographics had mostly weak effects, indicating that other variables may have greater effects in predicting seroprevalence.Models that ignored detection error led to different predictions of seroprevalence as well as different inferences on the effects of demographic parameters.Our results highlight the importance of incorporating detection error in models of seroprevalence and demonstrate that ignoring such error may lead to erroneous conclusions about the risk associated with pathogen transmission. When using opportunistic sampling data to model seroprevalence and evaluate risk factors, detection error should be included.
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Affiliation(s)
- Michael A. Tabak
- Center for Epidemiology and Animal HealthUnited States Department of AgricultureFort CollinsColorado
| | - Kerri Pedersen
- Wildlife ServicesUnited States Department of AgricultureRaleighNorth Carolina
| | - Ryan S. Miller
- Center for Epidemiology and Animal HealthUnited States Department of AgricultureFort CollinsColorado
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13
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Ferguson L, Luo K, Olivier AK, Cunningham FL, Blackmon S, Hanson-Dorr K, Sun H, Baroch J, Lutman MW, Quade B, Epperson W, Webby R, DeLiberto TJ, Wan XF. Influenza D Virus Infection in Feral Swine Populations, United States. Emerg Infect Dis 2019; 24:1020-1028. [PMID: 29774857 PMCID: PMC6004836 DOI: 10.3201/eid2406.172102] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Influenza D virus (IDV) has been identified in domestic cattle, swine, camelid, and small ruminant populations across North America, Europe, Asia, South America, and Africa. Our study investigated seroprevalence and transmissibility of IDV in feral swine. During 2012-2013, we evaluated feral swine populations in 4 US states; of 256 swine tested, 57 (19.1%) were IDV seropositive. Among 96 archived influenza A virus-seropositive feral swine samples collected from 16 US states during 2010-2013, 41 (42.7%) were IDV seropositive. Infection studies demonstrated that IDV-inoculated feral swine shed virus 3-5 days postinoculation and seroconverted at 21 days postinoculation; 50% of in-contact naive feral swine shed virus, seroconverted, or both. Immunohistochemical staining showed viral antigen within epithelial cells of the respiratory tract, including trachea, soft palate, and lungs. Our findings suggest that feral swine might serve an important role in the ecology of IDV.
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14
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Tissue tropisms opt for transmissible reassortants during avian and swine influenza A virus co-infection in swine. PLoS Pathog 2018; 14:e1007417. [PMID: 30507946 PMCID: PMC6292640 DOI: 10.1371/journal.ppat.1007417] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 12/13/2018] [Accepted: 10/18/2018] [Indexed: 01/28/2023] Open
Abstract
Genetic reassortment between influenza A viruses (IAVs) facilitate emergence of pandemic strains, and swine are proposed as a "mixing vessel" for generating reassortants of avian and mammalian IAVs that could be of risk to mammals, including humans. However, how a transmissible reassortant emerges in swine are not well understood. Genomic analyses of 571 isolates recovered from nasal wash samples and respiratory tract tissues of a group of co-housed pigs (influenza-seronegative, avian H1N1 IAV-infected, and swine H3N2 IAV-infected pigs) identified 30 distinct genotypes of reassortants. Viruses recovered from lower respiratory tract tissues had the largest genomic diversity, and those recovered from turbinates and nasal wash fluids had the least. Reassortants from lower respiratory tracts had the largest variations in growth kinetics in respiratory tract epithelial cells, and the cold temperature in swine nasal cells seemed to select the type of reassortant viruses shed by the pigs. One reassortant in nasal wash samples was consistently identified in upper, middle, and lower respiratory tract tissues, and it was confirmed to be transmitted efficiently between pigs. Study findings suggest that, during mixed infections of avian and swine IAVs, genetic reassortments are likely to occur in the lower respiratory track, and tissue tropism is an important factor selecting for a transmissible reassortant.
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15
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Feral Swine in the United States Have Been Exposed to both Avian and Swine Influenza A Viruses. Appl Environ Microbiol 2017; 83:AEM.01346-17. [PMID: 28733290 DOI: 10.1128/aem.01346-17] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 07/18/2017] [Indexed: 01/23/2023] Open
Abstract
Influenza A viruses (IAVs) in swine can cause sporadic infections and pandemic outbreaks among humans, but how avian IAV emerges in swine is still unclear. Unlike domestic swine, feral swine are free ranging and have many opportunities for IAV exposure through contacts with various habitats and animals, including migratory waterfowl, a natural reservoir for IAVs. During the period from 2010 to 2013, 8,239 serum samples were collected from feral swine across 35 U.S. states and tested against 45 contemporary antigenic variants of avian, swine, and human IAVs; of these, 406 (4.9%) samples were IAV antibody positive. Among 294 serum samples selected for antigenic characterization, 271 cross-reacted with ≥1 tested virus, whereas the other 23 did not cross-react with any tested virus. Of the 271 IAV-positive samples, 236 cross-reacted with swine IAVs, 1 with avian IAVs, and 16 with avian and swine IAVs, indicating that feral swine had been exposed to both swine and avian IAVs but predominantly to swine IAVs. Our findings suggest that feral swine could potentially be infected with both avian and swine IAVs, generating novel IAVs by hosting and reassorting IAVs from wild birds and domestic swine and facilitating adaptation of avian IAVs to other hosts, including humans, before their spillover. Continued surveillance to monitor the distribution and antigenic diversities of IAVs in feral swine is necessary to increase our understanding of the natural history of IAVs.IMPORTANCE There are more than 5 million feral swine distributed across at least 35 states in the United States. In contrast to domestic swine, feral swine are free ranging and have unique opportunities for contact with wildlife, livestock, and their habitats. Our serological results indicate that feral swine in the United States have been exposed to influenza A viruses (IAVs) consistent with those found in both domestic swine and wild birds, with the predominant infections consisting of swine-adapted IAVs. Our findings suggest that feral swine have been infected with IAVs at low levels and could serve as hosts for the generation of novel IAVs at the interface of feral swine, wild birds, domestic swine, and humans.
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16
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Denner J. The porcine virome and xenotransplantation. Virol J 2017; 14:171. [PMID: 28874166 PMCID: PMC5585927 DOI: 10.1186/s12985-017-0836-z] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Accepted: 08/27/2017] [Indexed: 12/29/2022] Open
Abstract
The composition of the porcine virome includes viruses that infect pig cells, ancient virus-derived elements including endogenous retroviruses inserted in the pig chromosomes, and bacteriophages that infect a broad array of bacteria that inhabit pigs. Viruses infecting pigs, among them viruses also infecting human cells, as well as porcine endogenous retroviruses (PERVs) are of importance when evaluating the virus safety of xenotransplantation. Bacteriophages associated with bacteria mainly in the gut are not relevant in this context. Xenotransplantation using pig cells, tissues or organs is under development in order to alleviate the shortage of human transplants. Here for the first time published data describing the viromes in different pigs and their relevance for the virus safety of xenotransplantation is analysed. In conclusion, the analysis of the porcine virome has resulted in numerous new viruses being described, although their impact on xenotransplantation is unclear. Most importantly, viruses with known or suspected zoonotic potential were often not detected by next generation sequencing, but were revealed by more sensitive methods.
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Affiliation(s)
- Joachim Denner
- Robert Koch Fellow, Robert Koch Institute, Nordufer, 20, Berlin, Germany.
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17
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Miller RS, Sweeney SJ, Slootmaker C, Grear DA, Di Salvo PA, Kiser D, Shwiff SA. Cross-species transmission potential between wild pigs, livestock, poultry, wildlife, and humans: implications for disease risk management in North America. Sci Rep 2017; 7:7821. [PMID: 28798293 PMCID: PMC5552697 DOI: 10.1038/s41598-017-07336-z] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Accepted: 06/28/2017] [Indexed: 01/21/2023] Open
Abstract
Cross-species disease transmission between wildlife, domestic animals and humans is an increasing threat to public and veterinary health. Wild pigs are increasingly a potential veterinary and public health threat. Here we investigate 84 pathogens and the host species most at risk for transmission with wild pigs using a network approach. We assess the risk to agricultural and human health by evaluating the status of these pathogens and the co-occurrence of wild pigs, agriculture and humans. We identified 34 (87%) OIE listed swine pathogens that cause clinical disease in livestock, poultry, wildlife, and humans. On average 73% of bacterial, 39% of viral, and 63% of parasitic pathogens caused clinical disease in other species. Non-porcine livestock in the family Bovidae shared the most pathogens with swine (82%). Only 49% of currently listed OIE domestic swine diseases had published wild pig surveillance studies. The co-occurrence of wild pigs and farms increased annually at a rate of 1.2% with as much as 57% of all farms and 77% of all agricultural animals co-occurring with wild pigs. The increasing co-occurrence of wild pigs with livestock and humans along with the large number of pathogens shared is a growing risk for cross-species transmission.
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Affiliation(s)
- Ryan S Miller
- Center for Epidemiology and Animal Health, Veterinary Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, United States.
| | - Steven J Sweeney
- Center for Epidemiology and Animal Health, Veterinary Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, United States
| | - Chris Slootmaker
- National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, United States
| | - Daniel A Grear
- National Wildlife Health Center, United States Geological Survey, Madison, Wisconsin, United States
| | - Paul A Di Salvo
- Center for Epidemiology and Animal Health, Veterinary Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, United States
| | - Deborah Kiser
- Center for Epidemiology and Animal Health, Veterinary Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, United States
| | - Stephanie A Shwiff
- National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, United States
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18
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Pedersen K, Bauer NE, Rodgers S, Bazan LR, Mesenbrink BT, Gidlewski T. Antibodies to Various Zoonotic Pathogens Detected in Feral Swine (Sus scrofa) at Abattoirs in Texas, USA. J Food Prot 2017; 80:1239-1242. [PMID: 28686494 DOI: 10.4315/0362-028x.jfp-17-016] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The zoonotic risk posed to employees by slaughtering feral swine (Sus scrofa) at two abattoirs in Texas was assessed by testing feral swine serum samples for exposure to influenza A virus, Leptospira, Trichinella spiralis, and Toxoplasma gondii. Blood was collected from a total of 376 feral swine between the two facilities during six separate collection periods in 2015. Antibodies to one or more serovars of Leptospira were identified in 48.9% of feral swine tested, with Bratislava and Pomona as the most commonly detected serovars, and antibodies to influenza A virus were detected in 14.1% of feral swine. Antibodies to T. gondii and T. spiralis were identified in 9.0 and 3.5%, respectively, of feral swine tested. Our results suggest that abattoir employees should be aware of the potential for exposure to various zoonotic pathogens when slaughtering feral swine, wear appropriate personal protective equipment, and participate in medical monitoring programs to ensure detection and prompt treatment. In addition, consumers of feral swine should cook the meat to the appropriate temperature and wash hands and kitchen surfaces thoroughly after preparing meat.
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Affiliation(s)
- Kerri Pedersen
- 1 U.S. Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, 4101 LaPorte Avenue, Fort Collins, Colorado 80521 (ORCID: http://orcid.org/000-0002-2980-9618 )
| | - Nathan E Bauer
- 2 U.S. Department of Agriculture, Food Safety Inspection Service, 2881 F&B Road, College Station, Texas 77845
| | - Sandra Rodgers
- 3 Texas A&M University Veterinary Medical Diagnostic Laboratory, 483 Agronomy Road, College Station, Texas 77840
| | - Luis R Bazan
- 4 U.S. Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, 5730 Northwest Parkway, Suite 700, San Antonio, Texas 78249
| | - Brian T Mesenbrink
- 4 U.S. Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, 5730 Northwest Parkway, Suite 700, San Antonio, Texas 78249
| | - Thomas Gidlewski
- 5 U.S. Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Research Center, 4101 LaPorte Avenue, Fort Collins, Colorado 80521, USA
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19
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Cleveland CA, DeNicola A, Dubey JP, Hill DE, Berghaus RD, Yabsley MJ. Survey for selected pathogens in wild pigs (Sus scrofa) from Guam, Marianna Islands, USA. Vet Microbiol 2017. [PMID: 28622856 PMCID: PMC7117193 DOI: 10.1016/j.vetmic.2017.05.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Guam has high wild pig densities with risk of pathogen transmission to people and animals. Exposure to numerous pathogens was detected in contrast to surveys of domestic pigs. New reports of pseudorabies virus, PRRS virus, Brucella, and Leptospira in pigs on Guam. Highlights that domestic swine-wild pig interactions should be prevented. Precautions are needed when handling wild pigs to minimize the pathogen transmission.
Pigs (Sus scrofa) were introduced to Guam in the 1600’s and are now present in high densities throughout the island. Wild pigs are reservoirs for pathogens of concern to domestic animals and humans. Exposure to porcine parvovirus, transmissible gastroenteritis, and Leptospira interrogans has been documented in domestic swine but data from wild pigs are lacking. The close proximity of humans, domestic animals, and wild pigs, combined with the liberal hunting of wild pigs, results in frequent opportunities for pathogen transmission. From February–March 2015, blood, tissue and ectoparasite samples were collected from 47 wild pigs. Serologic testing found exposure to Brucella spp. (2%), Toxoplasma gondii (11%), porcine reproductive and respiratory syndrome (PRRS) virus (13%), porcine circovirus type 2 (36%), pseudorabies virus (64%), Actinobacillus pleuropneumoniae (93%), Lawsonia intracellularis (93%), and porcine parvovirus (94%). Eleven (24%) samples had low titers (1:100) to Leptospira interrogans serovars Bratislava (n = 6), Icterohaemorrhagiae (n = 6), Pomona (n = 2), and Hardjo (n = 1). Kidney samples from nine pigs with Leptospira antibodies were negative for Leptospira antigens. Numerous pigs had Metastrongylus lungworms and three had Stephanurus dentatus. Lice (Hematopinus suis) and ticks (Amblyomma breviscutatum) were also detected. No antibodies to Influenza A viruses were detected. In contrast to the previous domestic swine survey, we found evidence of numerous pathogens in wild pigs including new reports of pseudorabies virus, PRRS virus, Brucella, and Leptospira in pigs on Guam. These findings highlight that domestic swine-wild pig interactions should be prevented and precautions are needed when handling wild pigs to minimize the risk of pathogen transmission.
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Affiliation(s)
- Christopher A Cleveland
- Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, Wildlife Health Building, 589 D.W. Brooks Dr., Athens, GA 30605, United States; Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA 30602, United States
| | | | - J P Dubey
- U.S. Department of Agriculture, Agricultural Research Service, Beltsville Agricultural Research Center, Animal Parasitic Diseases Laboratory, Beltsville, MD 20705-2350, United States
| | - Dolores E Hill
- U.S. Department of Agriculture, Agricultural Research Service, Beltsville Agricultural Research Center, Animal Parasitic Diseases Laboratory, Beltsville, MD 20705-2350, United States
| | - Roy D Berghaus
- Department of Population Health, College of Veterinary Medicine, University of Georgia,953 College Station Rd., Athens, GA 30602, United States
| | - Michael J Yabsley
- Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, Wildlife Health Building, 589 D.W. Brooks Dr., Athens, GA 30605, United States; Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA 30602, United States.
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20
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Hause BM, Padmanabhan A, Pedersen K, Gidlewski T. Feral swine virome is dominated by single-stranded DNA viruses and contains a novel Orthopneumovirus which circulates both in feral and domestic swine. J Gen Virol 2016; 97:2090-2095. [PMID: 27417702 DOI: 10.1099/jgv.0.000554] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Feral swine are known reservoirs for various pathogens that can adversely affect domestic animals. To assess the viral ecology of feral swine in the USA, metagenomic sequencing was performed on 100 pooled nasal swabs. The virome was dominated by small, ssDNA viruses belonging to the families Circoviridae, Anelloviridae and Parvovirinae. Only four RNA viruses were identified: porcine kobuvirus, porcine sapelovirus, atypical porcine pestivirus and a novel Orthopneumovirus, provisionally named swine orthopneumovirus (SOV). SOV shared ~90 % nucleotide identity to murine pneumonia virus (MPV) and canine pneumovirus. A modified, commercially available ELISA for MPV found that approximately 30 % of both feral and domestic swine sera were positive for antibodies cross-reactive with MPV. Quantitative reverse transcription-PCR identified two (2 %) and four (5.0 %) positive nasal swab pools from feral and domestic swine, respectively, confirming that SOV circulates in both herds.
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Affiliation(s)
- Ben M Hause
- Department of Diagnostic Medicine and Pathobiology, Kansas State University, Manhattan, Kansas 66549, USA.,Kansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, Kansas 66549, USA
| | - Aiswaria Padmanabhan
- Kansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, Kansas 66549, USA
| | - Kerri Pedersen
- United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, Fort Collins, Colorado 80521, USA
| | - Thomas Gidlewski
- United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, Fort Collins, Colorado 80521, USA
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21
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Bailey E, Long LP, Zhao N, Hall JS, Baroch JA, Nolting J, Senter L, Cunningham FL, Pharr GT, Hanson L, Slemons R, DeLiberto TJ, Wan XF. Antigenic Characterization of H3 Subtypes of Avian Influenza A Viruses from North America. Avian Dis 2016; 60:346-53. [PMID: 27309078 PMCID: PMC4911812 DOI: 10.1637/11086-041015-regr] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Besides humans, H3 subtypes of influenza A viruses (IAVs) can infect various animal hosts, including avian, swine, equine, canine, and sea mammal species. These H3 viruses are both antigenically and genetically diverse. Here, we characterized the antigenic diversity of contemporary H3 avian IAVs recovered from migratory birds in North America. Hemagglutination inhibition (HI) assays were performed on 37 H3 isolates of avian IAVs recovered from 2007 to 2011 using generated reference chicken sera. These isolates were recovered from samples taken in the Atlantic, Mississippi, Central, and Pacific waterfowl migration flyways. Antisera to all the tested H3 isolates cross-reacted with each other and, to a lesser extent, with those to H3 canine and H3 equine IAVs. Antigenic cartography showed that the largest antigenic distance among the 37 avian IAVs is about four units, and each unit corresponds to a 2 log 2 difference in the HI titer. However, none of the tested H3 IAVs cross-reacted with ferret sera derived from contemporary swine and human IAVs. Our results showed that the H3 avian IAVs we tested lacked significant antigenic diversity, and these viruses were antigenically different from those circulating in swine and human populations. This suggests that H3 avian IAVs in North American waterfowl are antigenically relatively stable.
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Affiliation(s)
- Elizabeth Bailey
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA
| | - Li-Ping Long
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA
| | - Nan Zhao
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA
| | - Jeffrey S. Hall
- USGS National Wildlife Health Center, Madison, Wisconsin, 53711 USA
| | - John A. Baroch
- National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service, U.S. Department of Agriculture, Fort Collins, Colorado, 80521 USA
| | - Jacqueline Nolting
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH, 43210 USA
| | - Lucy Senter
- Department of Clinical Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA
| | - Frederick L. Cunningham
- Mississippi Field Station, National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service, U.S. Department of Agriculture, Mississippi State, Mississippi, 39762 USA
| | - G. Todd Pharr
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA
| | - Larry Hanson
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA
| | - Richard Slemons
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH, 43210 USA
| | - Thomas J. DeLiberto
- National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service, U.S. Department of Agriculture, Fort Collins, Colorado, 80521 USA
| | - Xiu-Feng Wan
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA
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22
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Pepin KM, Davis AJ, Beasley J, Boughton R, Campbell T, Cooper SM, Gaston W, Hartley S, Kilgo JC, Wisely SM, Wyckoff C, VerCauteren KC. Contact heterogeneities in feral swine: implications for disease management and future research. Ecosphere 2016. [DOI: 10.1002/ecs2.1230] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Affiliation(s)
- Kim M. Pepin
- National Wildlife Research Center United States Department of Agriculture 4101 Laporte Avenue Fort Collins Colorado 80526 USA
| | - Amy J. Davis
- National Wildlife Research Center United States Department of Agriculture 4101 Laporte Avenue Fort Collins Colorado 80526 USA
| | - James Beasley
- Savannah River Ecology Laboratory Warnell School of Forestry and Natural Resources University of Georgia PO Drawer E Aiken South Carolina 29802 USA
| | - Raoul Boughton
- Wildlife Ecology and Conservation Range Cattle Research and Education Center University of Florida 3401 Experiment Station Ona Florida 33865 USA
| | - Tyler Campbell
- East Foundation 200 Concord Plaza Drive, Suite 410 San Antonio Texas 78216 USA
| | - Susan M. Cooper
- Texas A&M AgriLife Research 1619 Garner Field Road Uvalde Texas 78801 USA
| | - Wes Gaston
- USDA/APHIS/Wildlife Services 602 Duncan Drive Auburn Alabama 36849 USA
| | - Steve Hartley
- United States Geological Survey National Wetlands Research Center 700 Cajundome Boulevard Lafayette Louisiana 70506 USA
| | - John C. Kilgo
- Southern Research Station USDA Forest Service P.O. Box 700 New Ellenton South Carolina 29809 USA
| | - Samantha M. Wisely
- Department of Wildlife Ecology and Conservation University of Florida Gainesville Florida 32611 USA
| | - Christy Wyckoff
- Santa Lucia Conservancy 26700 Rancho San Carlos Road Carmel California 93923 USA
- Caesar Kleberg Wildlife Research Institute Texas A&M University‐Kingsville 955 University Boulevard, Kingsville Texas 78363 USA
| | - Kurt C. VerCauteren
- National Wildlife Research Center United States Department of Agriculture 4101 Laporte Avenue Fort Collins Colorado 80526 USA
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23
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Baranovich T, Bahl J. Influenza A Virus Diversity and Transmission in Exhibition Swine. J Infect Dis 2015; 213:169-70. [PMID: 26243316 PMCID: PMC4690153 DOI: 10.1093/infdis/jiv400] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Accepted: 07/24/2015] [Indexed: 11/13/2022] Open
Affiliation(s)
- Tatiana Baranovich
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Justin Bahl
- Center for Infectious Diseases, School of Public Health, The University of Texas Health Science Center at Houston
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24
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Sun H, Cunningham FL, Harris J, Xu Y, Long LP, Hanson-Dorr K, Baroch JA, Fioranelli P, Lutman MW, Li T, Pedersen K, Schmit BS, Cooley J, Lin X, Jarman RG, DeLiberto TJ, Wan XF. Dynamics of virus shedding and antibody responses in influenza A virus-infected feral swine. J Gen Virol 2015; 96:2569-2578. [PMID: 26297148 DOI: 10.1099/jgv.0.000225] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Given their free-ranging habits, feral swine could serve as reservoirs or spatially dynamic 'mixing vessels' for influenza A virus (IAV). To better understand virus shedding patterns and antibody response dynamics in the context of IAV surveillance amongst feral swine, we used IAV of feral swine origin to perform infection experiments. The virus was highly infectious and transmissible in feral swine, and virus shedding patterns and antibody response dynamics were similar to those in domestic swine. In the virus-inoculated and sentinel groups, virus shedding lasted ≤ 6 and ≤ 9 days, respectively. Antibody titres in inoculated swine peaked at 1 : 840 on day 11 post-inoculation (p.i.), remained there until 21 days p.i. and dropped to < 1 : 220 at 42 days p.i. Genomic sequencing identified changes in wildtype (WT) viruses and isolates from sentinel swine, most notably an amino acid divergence in nucleoprotein position 473. Using data from cell culture as a benchmark, sensitivity and specificity of a matrix gene-based quantitative reverse transcription-PCR method using nasal swab samples for detection of IAV in feral swine were 78.9 and 78.1 %, respectively. Using data from haemagglutination inhibition assays as a benchmark, sensitivity and specificity of an ELISA for detection of IAV-specific antibody were 95.4 and 95.0 %, respectively. Serological surveillance from 2009 to 2014 showed that ∼7.58 % of feral swine in the USA were positive for IAV. Our findings confirm the susceptibility of IAV infection and the high transmission ability of IAV amongst feral swine, and also suggest the need for continued surveillance of IAVs in feral swine populations.
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Affiliation(s)
- Hailiang Sun
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MI, USA
| | - Fred L Cunningham
- Mississippi Field Station, National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service, US Department of Agriculture, Mississippi State, MI, USA
| | - Jillian Harris
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MI, USA
| | - Yifei Xu
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MI, USA
| | - Li-Ping Long
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MI, USA
| | - Katie Hanson-Dorr
- Mississippi Field Station, National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service, US Department of Agriculture, Mississippi State, MI, USA
| | - John A Baroch
- National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service, US Department of Agriculture, Fort Collins, CO, USA
| | - Paul Fioranelli
- Mississippi Field Station, National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service, US Department of Agriculture, Mississippi State, MI, USA
| | - Mark W Lutman
- US Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, Fort Collins, CO, USA
| | - Tao Li
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Kerri Pedersen
- US Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, Fort Collins, CO, USA
| | - Brandon S Schmit
- National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service, US Department of Agriculture, Fort Collins, CO, USA
| | - Jim Cooley
- Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, MI, USA
| | - Xiaoxu Lin
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Richard G Jarman
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Thomas J DeLiberto
- National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service, US Department of Agriculture, Fort Collins, CO, USA
| | - Xiu-Feng Wan
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MI, USA
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25
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Baranovich T, Bahl J, Marathe BM, Culhane M, Stigger-Rosser E, Darnell D, Kaplan BS, Lowe JF, Webby RJ, Govorkova EA. Influenza A viruses of swine circulating in the United States during 2009-2014 are susceptible to neuraminidase inhibitors but show lineage-dependent resistance to adamantanes. Antiviral Res 2015; 117:10-9. [PMID: 25701593 DOI: 10.1016/j.antiviral.2015.02.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2014] [Revised: 02/09/2015] [Accepted: 02/11/2015] [Indexed: 12/30/2022]
Abstract
Antiviral drug susceptibility is one of the evaluation criteria of pandemic potential posed by an influenza virus. Influenza A viruses of swine (IAV-S) can play an important role in generating novel variants, yet limited information is available on the drug resistance profiles of IAV-S circulating in the U.S. Phenotypic analysis of the IAV-S isolated in the U.S. (2009-2011) (n=105) revealed normal inhibition by the neuraminidase (NA) inhibitors (NAIs) oseltamivir, zanamivir, and peramivir. Screening NA sequences from IAV-S collected in the U.S. (1930-2014) showed 0.03% (1/3396) sequences with clinically relevant H274Y-NA substitution. Phenotypic analysis of IAV-S isolated in the U.S. (2009-2011) confirmed amantadine resistance caused by the S31N-M2 and revealed an intermediate level of resistance caused by the I27T-M2. The majority (96.7%, 589/609) of IAV-S with the I27T-M2 in the influenza database were isolated from pigs in the U.S. The frequency of amantadine-resistant markers among IAV-S in the U.S. was high (71%), and their distribution was M-lineage dependent. All IAV-S of the Eurasian avian M lineage were amantadine-resistant and possessed either a single S31N-M2 substitution (78%, 585/747) or its combination with the V27A-M2 (22%, 162/747). The I27T-M2 substitution accounted for 43% (429/993) of amantadine resistance in classic swine M lineage. Phylogenetic analysis showed that both S31N-M2 and I27T-M2 emerged stochastically but appeared to be fixed in the U.S. IAV-S population. This study defines a drug-susceptibility profile, identifies the frequency of drug-resistant markers, and establishes a phylogenetic approach for continued antiviral-susceptibility monitoring of IAV-S in the U.S.
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Affiliation(s)
- Tatiana Baranovich
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Justin Bahl
- Center for Infectious Diseases, The University of Texas School of Public Health, Houston, TX 77030, USA; Laboratory of Virus Evolution, Program in Emerging Infectious Diseases, Duke-NUS Graduate Medical School, Singapore 169857, Singapore
| | - Bindumadhav M Marathe
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Marie Culhane
- Veterinary Diagnostic Labs, University of Minnesota, Saint Paul, MN 55108, USA
| | - Evelyn Stigger-Rosser
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Daniel Darnell
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Bryan S Kaplan
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - James F Lowe
- Integrated Food Animal Systems, College of Veterinary Medicine, University of Illinois, Urbana, IL 61802, USA
| | - Richard J Webby
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Elena A Govorkova
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
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