Detection of Murine Astrovirus and Myocoptes musculinus in individually ventilated caging systems: Investigations to expose suitable detection methods for routine hygienic monitoring

Abstract

Murine Astrovirus is one of the most prevalent viral agents in laboratory rodent facilities worldwide, but its influence on biomedical research results is poorly examined. Due to possible influence on research results and high seroprevalence rates in mice, it appears useful to include this virus into routine health monitoring programs. In order to establish exhaust air particle PCR as a reliable detection method for Murine Astrovirus infections in mice kept in individually ventilated cages (IVC) and compare the method to sentinel mice monitoring regarding reproducibility and detection limit, we conducted a study with defined Murine Astrovirus cage prevalence. In parallel, the efficacy of both detection strategies (soiled-bedding sentinel (SBS) and exhaust air dust (EAD) analysis) was tested for Myocoptes musculinus. The fur mite was used as a reference organism during the whole study period to ensure the validity of this method. Because some publications already demonstrated successful detection of several pathogens, including murine fur mite species, via EAP-PCR. Detection of Murine Astrovirus infections at low prevalence is possible with both methods tested. Detection by exhaust air particles (EAP) is faster, more sensitive and more reliable compared to soiled bedding sentinels (SBS). Exhaust air particle PCR also detected the reference organism Myocoptes musculinus, which was not detected at all by sentinel mice, not even by high sensitivity fur swab qPCR. In conclusion, Murine Astrovirus can be detected by both exhaust air particle PCR and soiled bedding sentinels. We recommend exhaust air particle PCR as the better detection technique for Murine Astrovirus, because it is more reliable. Environmental samples are the method of choice for detection of Myocoptes musculinus because relying on soiled bedding sentinels harbors a big risk of missing existing infestations.