Rattanaburi Somruthai, Sawaswong Vorthon, Nimsamer Pattaraporn, Mayuramart Oraphan, Sivapornnukul Pavaret, Khamwut Ariya, Chanchaem Prangwalai, Kongnomnan Kritsada, Suntronwong Nungruthai, Poovorawan Yong, Payungporn Sunchai
Interdisciplinary Program of Biomedical Sciences, Graduate School, Chulalongkorn University, Bangkok 10330, Thailand.
Research Unit of Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.
Genomics Inform. 2022 Jun;20(2):e21. doi: 10.5808/gi.21077. Epub 2022 Jun 30.
The influenza A viruses have high mutation rates and cause a serious health problem worldwide. Therefore, this study focused on genome characterization of the viruses isolated from Thai patients based on the next-generation sequencing technology. The nasal swabs were collected from patients with influenza-like illness in Thailand during 2017-2018. Then, the influenza A viruses were detected by reverse transcription-quantitative polymerase chain reaction and isolated by MDCK cells. The viral genomes were amplified and sequenced by Illumina MiSeq platform. Whole genome sequences were used for characterization, phylogenetic construction, mutation analysis and nucleotide diversity of the viruses. The result revealed that 90 samples were positive for the viruses including 44 of A/ H1N1 and 46 of A/H3N2. Among these, 43 samples were successfully isolated and then the viral genomes of 25 samples were completely amplified. Finally, 17 whole genomes of the viruses (A/H1N1, n=12 and A/H3N2, n=5) were successfully sequenced with an average of 232,578 mapped reads and 1,720 genome coverage per sample. Phylogenetic analysis demonstrated that the A/H1N1 viruses were distinguishable from the recommended vaccine strains. However, the A/H3N2 viruses from this study were closely related to the recommended vaccine strains. The nonsynonymous mutations were found in all genes of both viruses, especially in hemagglutinin (HA) and neuraminidase (NA) genes. The nucleotide diversity analysis revealed negative selection in the PB1, PA, HA, and NA genes of the A/H1N1 viruses. High-throughput data in this study allow for genetic characterization of circulating influenza viruses which would be crucial for preparation against pandemic and epidemic outbreaks in the future.
甲型流感病毒具有高突变率,在全球范围内引发严重的健康问题。因此,本研究基于下一代测序技术,着重对从泰国患者中分离出的病毒进行基因组特征分析。在2017年至2018年期间,从泰国患有流感样疾病的患者中采集鼻拭子。然后,通过逆转录定量聚合酶链反应检测甲型流感病毒,并利用MDCK细胞进行分离。病毒基因组通过Illumina MiSeq平台进行扩增和测序。全基因组序列用于病毒的特征分析、系统发育构建、突变分析和核苷酸多样性分析。结果显示,90份样本的病毒检测呈阳性,其中A/H1N1为44份,A/H3N2为46份。其中,43份样本成功分离,随后25份样本的病毒基因组被完全扩增。最后,成功测序了17个病毒全基因组(A/H1N1,n = 12;A/H3N2,n = 5),每个样本平均有232,578条比对读数和1,720倍的基因组覆盖度。系统发育分析表明,A/H1N1病毒与推荐的疫苗株不同。然而,本研究中的A/H3N2病毒与推荐的疫苗株密切相关。在两种病毒的所有基因中均发现了非同义突变,尤其是在血凝素(HA)和神经氨酸酶(NA)基因中。核苷酸多样性分析显示,A/H1N1病毒的PB1、PA、HA和NA基因存在负选择。本研究中的高通量数据有助于对流行的流感病毒进行基因特征分析,这对于未来防范大流行和疫情爆发至关重要。