| Literature DB >> 27921234 |
Xiaohui Zou1, Guangpeng Tang2, Xiang Zhao1, Yan Huang2, Tao Chen1, Mingyu Lei2, Wenbing Chen1, Lei Yang1, Wenfei Zhu1, Li Zhuang2, Jing Yang1, Zhaomin Feng1, Dayan Wang1, Dingming Wang3, Yuelong Shu4.
Abstract
Many viruses can cause respiratory diseases in humans. Although great advances have been achieved in methods of diagnosis, it remains challenging to identify pathogens in unexplained pneumonia (UP) cases. In this study, we applied next-generation sequencing (NGS) technology and a metagenomic approach to detect and characterize respiratory viruses in UP cases from Guizhou Province, China. A total of 33 oropharyngeal swabs were obtained from hospitalized UP patients and subjected to NGS. An unbiased metagenomic analysis pipeline identified 13 virus species in 16 samples. Human rhinovirus C was the virus most frequently detected and was identified in seven samples. Human measles virus, adenovirus B 55 and coxsackievirus A10 were also identified. Metagenomic sequencing also provided virus genomic sequences, which enabled genotype characterization and phylogenetic analysis. For cases of multiple infection, metagenomic sequencing afforded information regarding the quantity of each virus in the sample, which could be used to evaluate each viruses' role in the disease. Our study highlights the potential of metagenomic sequencing for pathogen identification in UP cases.Entities:
Keywords: metagenomics; next-generation sequencing; unexplained pneumonia
Mesh:
Year: 2016 PMID: 27921234 PMCID: PMC7088591 DOI: 10.1007/s11427-016-0244-8
Source DB: PubMed Journal: Sci China Life Sci ISSN: 1674-7305 Impact factor: 6.038