Zhang Hao, Zhang Yanru, Hamoudi Rifat, Yan Guiyun, Chen Xiaoguang, Zhou Yuanping
Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China ; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Province, School of Public Health and Tropical Medicine, Southern Medical Guangzhou, Guangdong Province, China.
Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.
PLoS One. 2014 Feb 14;9(2):e87630. doi: 10.1371/journal.pone.0087630. eCollection 2014.
Temporal-Spatial of dengue virus (DENV) analyses have been performed in previous epidemiological studies in mainland China, but few studies have examined the whole genome of the DENV. Herein, 40 whole genome sequences of DENVs isolated from mainland China were downloaded from GenBank. Phylogenetic analyses and evolutionary distances of the dengue serotypes 1 and 2 were calculated using 14 maximum likelihood trees created from individual genes and whole genome. Amino acid variations were also analyzed in the 40 sequences that included dengue serotypes 1, 2, 3 and 4, and they were grouped according to temporal and spatial differences. The results showed that none of the phylogenetic trees created from each individual gene were similar to the trees created using the complete genome and the evolutionary distances were variable with each individual gene. The number of amino acid variations was significantly different (p = 0.015) between DENV-1 and DENV-2 after 2001; seven mutations, the N290D, L402F and A473T mutations in the E gene region and the R101K, G105R, D340E and L349M mutations in the NS1 region of DENV-1, had significant substitutions, compared to the amino acids of DENV-2. Based on the spatial distribution using Guangzhou, including Foshan, as the indigenous area and the other regions as expanding areas, significant differences in the number of amino acid variations in the NS3 (p = 0.03) and NS1 (p = 0.024) regions and the NS2B (p = 0.016) and NS3 (p = 0.042) regions were found in DENV-1 and DENV-2. Recombination analysis showed no inter-serotype recombination events between the DENV-1 and DENV-2, while six and seven breakpoints were found in DENV-1 and DENV-2. Conclusively, the individual genes might not be suitable to analyze the evolution and selection pressure isolated in mainland China; the mutations in the amino acid residues in the E, NS1 and NS3 regions may play important roles in DENV-1 and DENV-2 epidemics.
以往中国大陆的流行病学研究对登革病毒(DENV)进行了时空分析,但很少有研究检测DENV的全基因组。在此,从GenBank下载了40条从中国大陆分离的DENV全基因组序列。利用从单个基因和全基因组构建的14棵最大似然树计算登革1型和2型的系统发育分析和进化距离。还对包括登革1、2、3和4型在内的40条序列中的氨基酸变异进行了分析,并根据时间和空间差异进行分组。结果表明,由每个单个基因构建的系统发育树与使用完整基因组构建的树均不相似,且每个单个基因的进化距离各不相同。2001年后,DENV-1和DENV-2之间的氨基酸变异数量存在显著差异(p = 0.015);与DENV-2的氨基酸相比,DENV-1的E基因区域中的7个突变,即N290D、L402F和A473T突变,以及NS1区域中的R101K、G105R、D340E和L349M突变,具有显著替代。以广州(包括佛山)为本土地区、其他地区为扩展地区进行空间分布分析,发现DENV-1和DENV-2的NS3(p = 0.03)和NS1(p = 0.024)区域以及NS2B(p = 0.016)和NS3(p = 0.042)区域的氨基酸变异数量存在显著差异。重组分析显示DENV-1和DENV-2之间不存在血清型间重组事件,而在DENV-1和DENV-2中分别发现了6个和7个断点。总之,单个基因可能不适用于分析中国大陆分离株的进化和选择压力;E、NS1和NS3区域氨基酸残基的突变可能在DENV-1和DENV-2流行中起重要作用。