Login / Signup

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

Abhinay GontuErika A MarlinSanthamani RamasamySabarinath NeerukondaGayatri AnilJasmine MorganMeysoon QuraishiChen ChenVeda Sheersh BoorlaRuth H NisslyPadmaja JakkaShubhada K ChotheAbirami RavichandranNishitha KodaliSaranya AmirthalingamLindsey C LaBellaKathleen KellyPazhanivel NatesanAllen M MinnsRandall M RossiJacob R WernerErnest HovinghScott E LindnerDeepanker TewariVivek KapurKurt J VandegriftCostas D MaranasMeera Surendran NairSuresh V Kuchipudi
Published in: Viruses (2022)
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.
Keyphrases
  • sars cov
  • respiratory syndrome coronavirus
  • public health
  • genetic diversity
  • gene expression
  • climate change
  • coronavirus disease
  • global health
  • transcription factor
  • copy number
  • single cell