Fast and sensitive differential diagnosis of pseudorabies virus-infected versus pseudorabies virus-vaccinated swine using CRISPR-Cas12a

ABSTRACT Pseudorabies virus (PRV) is the causative pathogen of Aujeszky’s disease. It causes high mortality and miscarriage rates in the infected swine, leading to tremendous economic losses in the global swine industry. PRV has also been demonstrated to trigger viral encephalitis in humans. The eradication policy and large-scale vaccination have been adopted globally as the most effective strategy against PRV. A simple, fast, and sensitive diagnostic method is highly demanded to differentiate between vaccinated and infected swine. Herein, we designed a detection system combining multienzyme isothermal rapid amplification (MIRA) and CRISPR-Cas12a (termed MIRA-Cas12a), characterized by high sensitivity and specificity, low cost, less equipment, and convenient visualization. By targeting the gB, gE, and TK genes of PRV, the MIRA-Cas12a assay is able to distinguish the infected, uninfected, and vaccinated swine by the naked eyes in 40 min (from DNA extraction to result readout) and with comparable sensitivity to conventional quantitative PCR. A 37°C heater and a source of blue light are all the equipment required to detect PRV. Thus, the MIRA-Cas12a detection will facilitate PRV surveillance and minimize the financial losses to the swine industry. IMPORTANCE Pseudorabies virus (PRV) causes high mortality and miscarriage rates in the infected swine, and the eradication policy coupled with large-scale vaccination of live attenuated vaccines has been adopted globally against PRV. Differential diagnosis of the vaccinated and infected swine is highly demanded. Our multienzyme isothermal rapid amplification (MIRA)-Cas12a detection method described in this study can diagnose PRV with a superior sensitivity comparable to the quantitative PCR (qPCR) and a competitive detection speed (only half the time as qPCR needs). The portable feature and the simple procedure of MIRA-Cas12a make it easier to deploy for clinical diagnosis, even in resource-limited settings. The MIRA-Cas12a method would provide immediate and accurate diagnostic information for policymakers to respond promptly.