Bats are recognized reservoirs for many emerging zoonotic viruses of public health importance. Identifying and cataloguing the viruses of bats is a logical approach to evaluate the range of potential zoonoses of bat origin. We characterized the fecal pathogen microbiome of both insectivorous and frugivorous bats, incorporating 281 individual bats comprising 20 common species, which were sampled in three locations of Yunnan province, by combining reverse transcription polymerase chain reaction (RT-PCR) assays and next-generation sequencing. Seven individual bats were paramyxovirus-positive by RT-PCR using degenerate primers, and these paramyxoviruses were mainly classified into three genera (Rubulavirus, Henipavirus and Jeilongvirus). Various additional novel pathogens were detected in the paramyxovirus-positive bats using Illumina sequencing. A total of 7066 assembled contigs (≥200 bp) were constructed, and 105 contigs matched eukaryotic viruses (of them 103 belong to 2 vertebrate virus families, 1 insect virus, and 1 mycovirus), 17 were parasites, and 4913 were homologous to prokaryotic microorganisms. Among the 103 vertebrate viral contigs, 79 displayed low identity (<70%) to known viruses including human viruses at the amino acid level, suggesting that these belong to novel and genetically divergent viruses. Overall, the most frequently identified viruses, particularly in bats from the family Hipposideridae, were retroviruses. The present study expands our understanding of the bat virome in species commonly found in Yunnan, China, and provides insight into the overall diversity of viruses that may be capable of directly or indirectly crossing over into humans.

No abstract

No abstract

No abstract

Aiming at the demand of assembly assistance for complex industrial products, this paper studies the structure and key links of augmented reality aided assembly system, and takes a gear pump as an example to realize the parts detection function based on yolo neural network algorithm. On this basis, the assembly assistance system is built based on Vuforia, and the user interface is designed, realizing the functions of assembly progress identification and assembly information prompt.