Viruses (Jun 2022)

Development and Validation of Indirect Enzyme-Linked Immunosorbent Assays for Detecting Antibodies to SARS-CoV-2 in Cattle, Swine, and Chicken

  • Abhinay Gontu,
  • Erika A. Marlin,
  • Santhamani Ramasamy,
  • Sabarinath Neerukonda,
  • Gayatri Anil,
  • Jasmine Morgan,
  • Meysoon Quraishi,
  • Chen Chen,
  • Veda Sheersh Boorla,
  • Ruth H. Nissly,
  • Padmaja Jakka,
  • Shubhada K. Chothe,
  • Abirami Ravichandran,
  • Nishitha Kodali,
  • Saranya Amirthalingam,
  • Lindsey LaBella,
  • Kathleen Kelly,
  • Pazhanivel Natesan,
  • Allen M. Minns,
  • Randall M. Rossi,
  • Jacob R. Werner,
  • Ernest Hovingh,
  • Scott E. Lindner,
  • Deepanker Tewari,
  • Vivek Kapur,
  • Kurt J. Vandegrift,
  • Costas D. Maranas,
  • Meera Surendran Nair,
  • Suresh V. Kuchipudi

DOI
https://doi.org/10.3390/v14071358
Journal volume & issue
Vol. 14, no. 7
p. 1358

Abstract

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Multiple domestic and wild animal species are susceptible to SARS-CoV-2 infection. Cattle and swine are susceptible to experimental SARS-CoV-2 infection. The unchecked transmission of SARS-CoV-2 in animal hosts could lead to virus adaptation and the emergence of novel variants. In addition, the spillover and subsequent adaptation of SARS-CoV-2 in livestock could significantly impact food security as well as animal and public health. Therefore, it is essential to monitor livestock species for SARS-CoV-2 spillover. We developed and optimized species-specific indirect ELISAs (iELISAs) to detect anti-SARS-CoV-2 antibodies in cattle, swine, and chickens using the spike protein receptor-binding domain (RBD) antigen. Serum samples collected prior to the COVID-19 pandemic were used to determine the cut-off threshold. RBD hyperimmunized sera from cattle (n = 3), swine (n = 6), and chicken (n = 3) were used as the positive controls. The iELISAs were evaluated compared to a live virus neutralization test using cattle (n = 150), swine (n = 150), and chicken (n = 150) serum samples collected during the COVID-19 pandemic. The iELISAs for cattle, swine, and chicken were found to have 100% sensitivity and specificity. These tools facilitate the surveillance that is necessary to quickly identify spillovers into the three most important agricultural species worldwide.

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