Yanan Zhong, Runbo Luo, Kexin Li, Na Li, Chenjun Jiang, Zixuan Li, Jiayan Huang, Kongwang He, Libin Wen, Qi Xiao, Sizhu Suolang
This study provides the genomic evidence of a triple co-infection involving BVDV-1, BEV, and CPIV3 in Xizang.
Although mixed viral infections are increasingly recognized as contributors to bovine diarrhea syndrome, diagnosing such co-infections remains challenging, particularly in high-altitude regions where surveillance is limited. In July 2024, a calf presenting with severe diarrhea and respiratory distress was identified on a cattle farm in Linzhi, Xizang, China. Using unbiased whole-genome sequencing (WGS) of the fecal sample, we assembled near-complete genomes of three distinct RNA viruses: two bovine viral diarrhea virus type 1 (BVDV-1) strains (subtypes 1v and 1q, designated BVDV-1/XZ87 and XZ87), one bovine enterovirus (genotype EV-E, designated BEV/XZ87), and one caprine parainfluenza virus type 3 (CPIV3/XZ87). The CPIV3/XZ87 genome exhibited 99.9% nucleotide identity to the goat-derived GS2017-2 strain from Jiangsu, China, raising the possibility of viral spread through livestock trade. Quantitative real-time PCR (RT-qPCR) confirmed the presence of all three pathogens (Ct values: 24.78 for BEV, 25.98 for CPIV3, and 31.28 for BVDV). This study provides the genomic evidence of a triple co-infection involving BVDV-1, BEV, and CPIV3 in Xizang. It illustrates the potential of WGS for unbiased pathogen detection in complex clinical specimens. The near-complete genomes generated here fill critical gaps in the virological surveillance of this epidemiologically under-sampled high-altitude region.