Suppr超能文献

中国中南部内陆省份湖南2018年登革热疫情的全基因组特征分析

Complete genome characterization of the 2018 dengue outbreak in Hunan, an inland province in central South China.

作者信息

Guan Jiaoqiong, Li Zhuofan, Chen Jun, Guo Qi, Rao Qing, Duan Suqin, Xu Guofeng, Chen Junying, Pan Yue, Liu Yu, Qin Meng, Sun Qiangming

机构信息

Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China; Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, China; Yunnan Key Laboratory of Vector-borne Infectious Disease, Kunming, China.

Biomedical&Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island, USA.

出版信息

Virus Res. 2021 May;297:198358. doi: 10.1016/j.virusres.2021.198358. Epub 2021 Mar 2.

Abstract

In 2018, a small-scale dengue epidemic broke out in Hunan Province, an inland province in central South China, with 172 people infected. To verify the causative agent, complete genome information was obtained by PCR and sequencing based on the viral RNAs extracted from patient serum samples. Mutation and evolutionary analysis were performed by MEGA7.0 software. The online softwares "Predict protein" and "Mfold" were used to predict the secondary structure of proteins and untranslated regions, respectively. Phylogenetic analysis showed that all five isolates in this study were DENV type 2, which is most closely related to the Zhejiang strain (2017-MH110588). Compared with the DENV-2 standard strain, 773 nucleotide mutations occurred in the isolated strain, of which 666 were nonsense mutations. Of the 80 mutated amino acids, 22 occurred in the structural protein region (2 in C region, 8 in PrM/M region, 12 in E region), and 58 in the non-structural (NS) protein region (9 in NS1 region, 10 in NS2 region, 12 in NS3 region, 7 in NS4 region, 20 in NS5 region). The prM/M region had the highest AA mutation rate, while NS4B was conservative. Three amino acid mutations (E: N390S, and NS5: S676N, K800T) may important for the replication and virulence of the DENV. Secondary structure prediction observed 28 changes in polynucleotide binding regions and 110 changes in protein binding sites of coding sequence. 2 and 4 base substitutions resulted in 2 and 6 significant changes in the RNA secondary structure of 5' UTR and 3' UTR, respectively. Two significant positive selection sites were observed in NS5. To our knowledge, this research is the first complete genome analysis of the epidemic strain of the 2018 dengue outbreak in Hunan and will benefit further research for virus traceability and vaccine development.

摘要

2018年,中国中南部内陆省份湖南省爆发了小规模登革热疫情,172人感染。为验证病原体,基于从患者血清样本中提取的病毒RNA,通过PCR和测序获得了完整的基因组信息。使用MEGA7.0软件进行突变和进化分析。分别使用在线软件“Predict protein”和“Mfold”预测蛋白质和非翻译区的二级结构。系统发育分析表明,本研究中的所有五个分离株均为登革热2型,与浙江株(2017-MH110588)关系最为密切。与登革热2型标准株相比,分离株发生了773个核苷酸突变,其中666个为无义突变。在80个突变氨基酸中,22个发生在结构蛋白区域(C区域2个,PrM/M区域8个,E区域12个),58个发生在非结构(NS)蛋白区域(NS1区域9个,NS2区域10个,NS3区域12个,NS4区域7个,NS5区域20个)。PrM/M区域的氨基酸突变率最高,而NS4B较为保守。三个氨基酸突变(E:N390S,NS5:S676N,K800T)可能对登革病毒的复制和毒力很重要。二级结构预测观察到编码序列的多核苷酸结合区域有28处变化,蛋白质结合位点有110处变化。2个和4个碱基替换分别导致5'UTR和3'UTR的RNA二级结构发生2处和6处显著变化。在NS5中观察到两个显著的正选择位点。据我们所知,本研究是对2018年湖南登革热疫情流行株的首次全基因组分析,将有助于进一步开展病毒溯源和疫苗研发研究。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验