The natural sequence variations of the nucleocapsid genes of the Gray, Arkansas99 (Ark99), and Holland52 (Holl52) strains of infectious bronchitis virus (IBV) were determined. These were compared with previously published sequencing data of other IBV strains, as well as other coronaviruses, in order to correlate the serological and evolutionary relationship of coronaviruses. IBV nucleotide sequence alignment shows that overall the sequences are highly conserved, with homologies from 91.1 to 96.5%. However, there are also two regions (730 to 800 and 1138 to 1166) that appear to be even more highly conserved. Overall, the nucleocapsid protein is highly variable both in size and composition between coronavirus major antigenic groups but is conserved within these groups. A phylogenetic tree of the nucleocapsid protein of various coronaviruses indicates that the coronaviruses fall into distinct groups that correspond to the three major antigenic groups; however, a phylogenetic tree of the IBV nucleocapsid shows that this does not hold true for the type specific antigenic groups of IBV.
Previous studies on infectious bronchitis virus (IBV) cDNA have identified a region of about 184 bases in the 3' non-coding terminus of both the U.S. prototype strain (Beaudette) and a Japanese strain (KB8523), that was not present in an antigenically closely related U.S. strain, Massachusetts (Mass) 41 (Boursnell et al., 1985; Sutou et al., 1988). In order to investigate the origin and function of this region and its occurrence in nature, the cDNA sequences of the 3' non-coding regions of three additional strains of IBV, Gray, Arkansas (Ark) 99 and Holland (Holl) 52, were determined and compared to the sequences of the Beaudette, KB8523 and Mass41 strains. Not only was this Urich sequence absent from the 3' non-coding region of the Mass41 strain, it was also highly variable, especially in comparison to the highly conserved 3' non coding region downstream of this sequence. Computer analyses of the sequences adjacent to this hypervariable region (HVR) showed that the 3' end of the IBV genome was highly conserved downstream of this region, with 94.3 to 97.8% similarity. However, the similarities for the HVR ranged from 53.2% between Holl52 and Ark99, to 92.8% between Beaudette and Gray. The flanking sequences were not only conserved but these sequences upstream and downstream of the HVR also formed mirrored images.
Calf diarrhea (scours) is a primary cause of illness and death in young calves. Significant economic losses associated with this disease include morbidity, mortality, and direct cost of treatment. Multiple pathogens are responsible for infectious diarrhea, including, but not limited to, Bovine coronavirus (BCV), bovine Rotavirus A (BRV), and Cryptosporidium spp. Identification and isolation of carrier calves are essential for disease management. Texas Veterinary Medical Diagnostic Laboratory current methods for calf diarrhea pathogen identification include electron microscopy (EM) for BCV and BRV and a direct fluorescent antibody test (DFAT) for organism detection of Cryptosporidium spp. A workflow was developed consisting of an optimized fecal nucleic acid purification and multiplex reverse transcription quantitative polymerase chain reaction (RT-qPCR) for single tube concurrent detection of BCV, BRV, and Cryptosporidium spp., and an internal control to monitor nucleic acid purification efficacy and PCR reagent functionality. In "spike-in" experiments using serial dilutions of each pathogen, the analytical sensitivity was determined to be <10 TCID(50)/ml for BCV and BRV, and <20 oocysts for Cryptosporidium spp. Analytical specificity was confirmed using Canine and Feline coronavirus, Giardia spp., and noninfected bovine purified nucleic acid. Diagnostic sensitivity was ≥98% for all pathogens when compared with respective traditional methods. The results demonstrate that the newly developed assay can purify and subsequently detect BCV, BRV, and Cryptosporidium spp. concurrently in a single PCR, enabling simplified and streamlined calf diarrhea pathogen identification.
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