Porcine Sample Type Characteristics Associated with Sequencing and Isolation of Influenza A Virus

Understanding how sample type may influence the probability of influenza A virus (IAV) sequencing and isolation success can help improve the use of diagnostic tests and refine surveillance strategies in swine populations. The objective of this study was to evaluate the probability of success for IAV hemagglutinin (HA) and neuraminidase (NA) Sanger sequencing and virus isolation in Madin–Darby Canine Kidney (MDCK) cells across different porcine sample types submitted to the Iowa State University Veterinary Diagnostic Laboratory (ISU VDL) from 2018 to 2024. Antemortem and postmortem sample types were selected and analyzed based on reverse transcription real-time polymerase chain reaction (RT-rtPCR) cycle threshold (Ct) values. The Ct values corresponding to 95%, 75%, and 50% probabilities of sequencing or virus isolation success were determined for each sample type. For antemortem samples, a 95% probability of success for HA Sanger sequencing on nasal swabs exhibited a Ct value of 27.8 from 1046 samples and 23.6 for NA sequencing based on 66 nasal swabs. Using oral fluids, HA and NA Sanger sequencing success was at Ct values of 27.3 from 3446 samples and 22.1 from 137 samples, respectively. For postmortem samples, lung tissue had the highest number of sequences for the HA and NA, with Ct values of 25.7 and 21.5, respectively. For a 95% probability of successful virus isolation, nasal swabs demonstrated a Ct value of 21.1 from 647 samples, while lungs had a Ct value of 18.7 from 5892 samples. This study determined that nasal swabs and lung tissue had the highest probability of IAV gene sequencing and virus isolation success, while oral fluids, a common swine diagnostic sample type that is easy to collect and welfare-friendly, can be effective for gene sequencing when using lower IAV RT-rtPCR Ct values, i.e., ≤27.3. These results provide practical expectations for successful IAV HA and NA gene sequencing and virus isolation at 95%, 75%, and 50% probabilities based on sample type and RT-rtPCR Ct values to improve diagnostic testing strategies in swine populations.