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UK circulating strains of human parainfluenza 3: an amplicon based next generation sequencing method and phylogenetic analysis

机译:英国人副流感循环株:一种基于扩增子的下一代测序方法和系统发育分析

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>Background: Human parainfluenza viruses type 3 (HPIV3) are a prominent cause of respiratory infection with a significant impact in both pediatric and transplant patient cohorts.  Currently there is a paucity of whole genome sequence data that would allow for detailed epidemiological and phylogenetic analysis of circulating strains in the UK. Although it is known that HPIV3 peaks annually in the UK, to date there are no whole genome sequences of HPIV3 UK strains available.  >Methods: Clinical strains were obtained from HPIV3 positive respiratory patient samples collected between 2011 and 2015.  These were then amplified using an amplicon based method, sequenced on the Illumina platform and assembled using a new robust bioinformatics pipeline. Phylogenetic analysis was carried out in the context of other epidemiological studies and whole genome sequence data currently available with stringent exclusion of significantly culture-adapted strains of HPIV3. >Results: In the current paper we have presented twenty full genome sequences of UK circulating strains of HPIV3 and a detailed phylogenetic analysis thereof.  We have analysed the variability along the HPIV3 genome and identified a short hypervariable region in the non-coding segment between the M (matrix) and F (fusion) genes. The epidemiological classifications obtained by using this region and whole genome data were then compared and found to be identical. >Conclusions: The majority of HPIV3 strains were observed at different geographical locations and with a wide temporal spread, reflecting the global distribution of HPIV3. Consistent with previous data, a particular subcluster or strain was not identified as specific to the UK, suggesting that a number of genetically diverse strains circulate at any one time. A small hypervariable region in the HPIV3 genome was identified and it was shown that, in the absence of full genome data, this region could be used for epidemiological surveillance of HPIV3.
机译:>背景: 3型人类副流感病毒(HPIV3)是呼吸道感染的重要原因,对儿科和移植患者群体均具有重大影响。目前,缺乏完整的基因组序列数据,无法对英国循环菌株进行详细的流行病学和系统发育分析。尽管已知HPIV3在英国每年达到高峰,但迄今为止,尚无HPIV3 UK菌株的完整基因组序列。 >方法:临床菌株是从2011年至2015年间收集的HPIV3阳性呼吸道患者样本中获得的。然后使用基于扩增子的方法对其进行扩增,在Illumina平台上进行测序,并使用新的强大的生物信息学管道进行组装。系统发育分析是在其他流行病学研究和目前可获得的全基因组序列数据的背景下进行的,但严格排除了具有明显培养适应性的HPIV3菌株。 >结果:在当前的论文中,我们介绍了英国20株HPIV3流行株的全基因组序列及其详细的系统发育分析。我们已经分析了沿HPIV3基因组的变异性,并在M(矩阵)和F(融合)基因之间的非编码片段中发现了一个短的高变区。然后比较了使用该区域和整个基因组数据获得的流行病学分类,发现它们是相同的。 >结论:大多数HPIV3菌株在不同的地理位置观察到,并具有广泛的时间分布,反映了HPIV3的全球分布。与以前的数据一致,没有发现特定的亚簇或菌株是英国特有的,这表明许多遗传多样性的菌株可在任何时间传播。鉴定出HPIV3基因组中的一个小的高变区,结果表明,在没有完整基因组数据的情况下,该区域可用于HPIV3的流行病学监测。

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