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Mitchell PK, Cronk BD, Voorhees IEH, Rothenheber D, Anderson RR, Chan TH, Wasik BR, Dubovi EJ, Parrish CR, Goodman LB. Method comparison of targeted influenza A virus typing and whole-genome sequencing from respiratory specimens of companion animals. J Vet Diagn Invest 2020; 33:191-201. [PMID: 33234046 DOI: 10.1177/1040638720933875] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Epidemics of H3N8 and H3N2 influenza A viruses (IAVs) in dogs, along with recognition of spillover infections from IAV strains typically found in humans or other animals, have emphasized the importance of efficient laboratory testing. Given the lack of active IAV surveillance or immunization requirements for dogs, cats, or horses imported into the United States, serotype prediction and whole-genome sequencing of positive specimens detected at veterinary diagnostic laboratories are also needed. The conserved sequences at the ends of the viral genome segments facilitate universal amplification of all segments of viral genomes directly from respiratory specimens. Although several methods for genomic analysis have been reported, no optimization focusing on companion animal strains has been described, to our knowledge. We compared 2 sets of published universal amplification primers using 26 IAV-positive specimens from dogs, horses, and a cat. Libraries prepared from the resulting amplicons were sequenced using Illumina chemistry, and reference-based assemblies were generated from the data produced by both methods. Although both methods produced high-quality data, coverage profiles and base calling differed between the 2 methods. The sequence data were also used to identify the subtype of the IAV strains sequenced and then compared to standard PCR assays for neuraminidase types N2 and N8.
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Affiliation(s)
- Patrick K Mitchell
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY
| | - Brittany D Cronk
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY
| | - Ian E H Voorhees
- Baker Institute for Animal Health and Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY
| | - Derek Rothenheber
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY
| | - Renee R Anderson
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY
| | - Timothy H Chan
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY
| | - Brian R Wasik
- Baker Institute for Animal Health and Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY
| | - Edward J Dubovi
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY
| | - Colin R Parrish
- Baker Institute for Animal Health and Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY
| | - Laura B Goodman
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY
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Stout AE, Hofmar-Glennon HG, André NM, Goodman LB, Anderson RR, Mitchell PK, Thompson BS, Lejeune M, Whittaker GR, Goodrich EL. Infectious disease surveillance of apparently healthy horses at a multi-day show using a novel nanoscale real-time PCR panel. J Vet Diagn Invest 2020; 33:80-86. [PMID: 33179576 DOI: 10.1177/1040638720972096] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
In the United States, horses are used for a variety of purposes including recreation, exhibition, and racing. As farm, performance, and companion animals, horses are a unique species from a zoonotic disease risk perspective, and the risks of subclinical infections spreading among horses can pose challenges. Using a nanoscale real-time PCR platform, we investigated the prevalence of 14 enteric pathogens, 11 Escherichia coli genes, and 9 respiratory pathogens in fecal samples from 97 apparently healthy horses at a multi-day horse event. In addition, sugar flotation test was performed for fecal parasites. E. coli f17 was commonly detected, prevalent in 59% of horses, followed closely by Streptococcus equi subsp. zooepidemicus (55%). Additional pathogens recognized included betacoronavirus, Campylobacter jejuni, Cryptosporidium sp., E. coli O157, equine adenovirus 1, equine rhinitis B virus, and others. The use of PCR data may overestimate the true prevalence of these pathogens but provides a sensitive overview of common pathogens present in healthy horses. Our results prompt the continued need for practical biosecurity measures at horse shows, both to protect individuals interacting with these horses and to minimize transmission among horses.
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Affiliation(s)
- Alison E Stout
- Departments of Microbiology and Immunology, Cornell University, Ithaca, NY
| | - Hayley G Hofmar-Glennon
- College of Veterinary Medicine, and Master of Public Health Program, Cornell University, Ithaca, NY
| | - Nicole M André
- Departments of Microbiology and Immunology, Cornell University, Ithaca, NY
| | - Laura B Goodman
- Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY
| | - Renee R Anderson
- Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY
| | - Patrick K Mitchell
- Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY
| | - Belinda S Thompson
- Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY
| | - Manigandan Lejeune
- Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY
| | - Gary R Whittaker
- Departments of Microbiology and Immunology, Cornell University, Ithaca, NY.,College of Veterinary Medicine, and Master of Public Health Program, Cornell University, Ithaca, NY
| | - Erin L Goodrich
- Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY
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3
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Yuan Q, Llanos-Soto SG, Gangloff-Kaufmann JL, Lampman JM, Frye MJ, Benedict MC, Tallmadge RL, Mitchell PK, Anderson RR, Cronk BD, Stanhope BJ, Jarvis AR, Lejeune M, Renshaw RW, Laverack M, Lamb EM, Goodman LB. Active surveillance of pathogens from ticks collected in New York State suburban parks and schoolyards. Zoonoses Public Health 2020; 67:684-696. [PMID: 32697888 PMCID: PMC7496946 DOI: 10.1111/zph.12749] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 04/29/2020] [Accepted: 05/19/2020] [Indexed: 12/12/2022]
Abstract
Schoolyards and suburban parks are two environments where active tick surveillance may inform local management approaches. Even in a state such as New York with a robust active tick surveillance programme operated by the state Department of Health, these settings are not routinely covered. The goal of this study was to highlight the importance of active surveillance for tick‐borne pathogens by describing their prevalence in ticks collected from schoolyards and suburban parks and to guide the use of integrated pest management in these settings. Tick dragging was performed in three regions of New York State: Long Island, the Lower Hudson Valley and the Capital Region. A total of 19 schoolyards and 32 parks were sampled. The location, habitat and weather at the time of tick collection were recorded. Ticks were speciated and tested for the presence of 17 pathogens with a novel application of nanoscale real‐time PCR. The causative agents of Lyme disease, anaplasmosis, babesiosis and Powassan virus disease were all detected from Ixodes scapularis in various sites throughout the capital region and south‐eastern counties of New York state. The most common agent detected was Borrelia burgdorferi, and coinfection rates were as high as 36%. This surveillance study also captured the first of the invasive Asian longhorned tick species, Haemaphysalis longicornis, in New York state (collected 2 June 2017). Results from this study highlight the importance of collaborative efforts and data sharing for improvement of surveillance for tick‐borne disease agents.
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Affiliation(s)
- Qin Yuan
- Master of Public Health Program, Cornell University, Ithaca, NY, USA
| | - Sebastian G Llanos-Soto
- Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Jody L Gangloff-Kaufmann
- New York State Integrated Pest Management Program, Cornell University College of Agriculture and Life Sciences, Geneva, NY, USA
| | - Joellen M Lampman
- New York State Integrated Pest Management Program, Cornell University College of Agriculture and Life Sciences, Geneva, NY, USA
| | - Matthew J Frye
- New York State Integrated Pest Management Program, Cornell University College of Agriculture and Life Sciences, Geneva, NY, USA
| | - Meghan C Benedict
- Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Rebecca L Tallmadge
- Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Patrick K Mitchell
- Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Renee R Anderson
- Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Brittany D Cronk
- Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Bryce J Stanhope
- Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Ava R Jarvis
- Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Manigandan Lejeune
- Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Randall W Renshaw
- Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Melissa Laverack
- Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Elizabeth M Lamb
- New York State Integrated Pest Management Program, Cornell University College of Agriculture and Life Sciences, Geneva, NY, USA
| | - Laura B Goodman
- Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
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4
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Tallmadge RL, Anderson R, Mitchell PK, Forbes ZC, Werner B, Gioia G, Moroni P, Glaser A, Thachil AJ, Goodman LB. Characterization of a novel Mycoplasma cynos real-time PCR assay. J Vet Diagn Invest 2019; 32:793-801. [PMID: 31752630 PMCID: PMC7206559 DOI: 10.1177/1040638719890858] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Mycoplasma cynos is recognized as an emerging causative pathogen of canine infectious respiratory disease (CIRD) worldwide. We developed a new open-source real-time PCR (rtPCR) assay for M. cynos that performs well under standard rtPCR conditions. Primers and probes were designed to target the M. cynos tuf gene. Reaction efficiencies for the M. cynos tuf gene assay on 2 platforms were based on amplification of standard curves spanning 8 orders of magnitude: ABI 7500 platform, 94.3–97.9% (r2 ≥ 0.9935); QuantStudio OpenArray platform, 119.1–122.5% (r2 = 0.9784). The assay performed very well over a range of template input, from 109 copies to the lower limit of quantification at 4 copies of the M. cynos genome on the ABI 7500 platform. Diagnostic performance was estimated by comparison with an in-house legacy assay on clinical specimens as well as testing isolates that were characterized previously by intergenic spacer region (ISR) sequencing. Exclusivity was established by testing 12 other Mycoplasma species. To substantiate the high specificity of the M. cynos tuf gene assay, sequence confirmation was performed on ISR PCR amplicons obtained from clinical specimens. One ISR amplicon sequence revealed M. mucosicanis rather than M. cynos. The complete protocol of the newly developed M. cynos tuf assay is provided to facilitate assay harmonization.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Laura B. Goodman
- Animal Health Diagnostic Center, Cornell University, Ithaca, NY (Tallmadge, Anderson, Mitchell, Forbes, Werner, Gioia, Moroni, Glaser, Thachil, Goodman)
- Laura B. Goodman, Population Medicine and Diagnostic Sciences, Cornell University Animal Health Diagnostic Center, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853.
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