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Molecular Characterization of the Measles Virus Genotypes in JiLin Province, China

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Figshare2016-01-19 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Molecular_Characterization_of_the_Measles_Virus_Genotypes_in_JiLin_Province_China/118860
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Measles remains a severe global health threat, and nearly 30 million new cases are reported annually. Although many studies have analyzed measles viruses (MV) at the epidemiologic and phylogenetic levels, no study has yet to integrate these two types of data. To this end, we isolated 16 wild-type MV strains China's Jilin province. The MV genotype H1 was the most prevalent strain. After sequencing the nucleoprotein (N) genes of these strains, a maximum clade credibility tree was constructed by the Bayesian Markov Chain Monte Carlo method using 450 MV strains from GenBank with epidemiological information. The MV N gene evolution rate was 1.127E-3. Analysis of the time of the most recent common ancestor (TMRCA) for genotypes A/B/C/G/H revealed that genotypes D and B had the largest and smallest TMRCA (45.86 and 26.63, respectively). The highest level of genetic diversity for the MV N gene occurred around the year 2000. Here in this study, we uncovered the MV genotypes circulating in China's Jilin Province and estimated the epidemiologic and phylogenetic relationship for the six different genotypes of MV.

麻疹仍是严重的全球公共卫生威胁,每年报告的新增病例近3000万例。尽管已有多项研究从流行病学和系统发育学层面分析了麻疹病毒(Measles Virus, MV),但尚无研究将这两类数据进行整合。为此,本研究从中国吉林省分离得到16株野生型麻疹病毒毒株,其中基因型H1为优势流行毒株。对上述毒株的核蛋白(Nucleoprotein, N)基因进行测序后,本研究结合基因银行(GenBank)中450株携带流行病学信息的麻疹病毒毒株序列,采用贝叶斯马尔可夫链蒙特卡罗(Bayesian Markov Chain Monte Carlo)方法构建了最大分支可信度树。麻疹病毒N基因的进化速率为1.127E-3。对基因型A/B/C/G/H的最近共同祖先时间(Time of the Most Recent Common Ancestor, TMRCA)进行分析后发现,基因型D和B的TMRCA分别为最大(45.86)和最小(26.63)。麻疹病毒N基因的遗传多样性峰值出现在2000年前后。本研究明确了中国吉林省流行的麻疹病毒基因型,并估算了6种不同麻疹病毒基因型的流行病学与系统发育关系。
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2016-01-19
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