Phylogenetic analysis of Puumala virus strains from Central Europe highlights the need for a full-genome perspective on hantavirus evolution
Phylogenetic analysis of Puumala virus strains from Central Europe highlights the need for a full-genome perspective on hantavirus evolution
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对来自中欧的普马拉病毒株的系统发育分析凸显了对汉坦病毒进化进行全基因组视角的必要性
DOI:
10.1007/s11262-017-1484-5
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发表时间:
2017
期刊:
影响因子:
1.6
通讯作者:
Klempa B
中科院分区:
文献类型:
--
作者:
Szabó R;Radosa L;Ličková M;Sláviková M;Heroldová M;Stanko M;Pejčoch M;Osterberg A;Laenen L;Schex S;Ulrich RG;Essbauer S;Maes P;Klempa B
Puumala virus (PUUV), carried by bank voles (Myodes glareolus), is the medically most important hantavirus in Central and Western Europe. In this study, a total of 523 bank voles (408 from Germany, 72 from Slovakia, and 43 from Czech Republic) collected between the years 2007–2012 were analyzed for the presence of hantavirus RNA. Partial PUUV genome segment sequences were obtained from 51 voles. Phylogenetic analyses of all three genome segments showed that the newfound strains cluster with other Central and Western European PUUV strains. The new sequences from Šumava (Bohemian Forest), Czech Republic, are most closely related to the strains from the neighboring Bavarian Forest, a known hantavirus disease outbreak region. Interestingly, the Slovak strains clustered with the sequences from Bohemian and Bavarian Forests only in the M but not S segment analyses. This well-supported topological incongruence suggests a segment reassortment event or, as we analyzed only partial sequences, homologous recombination. Our data highlight the necessity of sequencing all three hantavirus genome segments and of a broader bank vole screening not only in recognized endemic foci but also in regions with no reported human hantavirus disease cases.
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影响因子:
4
作者:
Heyman P;Thoma BR;Marié JL;Cochez C;Essbauer SS
通讯作者:
Essbauer SS
影响因子:
9.4
作者:
Schilling, Stefan;Emmerich, Petra;Meisel, Helga
通讯作者:
Meisel, Helga
影响因子:
1.6
作者:
Mertens, Marc;Kindler, Eveline;Essbauer, Sandra S.
通讯作者:
Essbauer, Sandra S.
影响因子:
16.8
作者:
Biek R;Pybus OG;Lloyd-Smith JO;Didelot X
通讯作者:
Didelot X
DOI:
10.1093/bioinformatics/btu531
发表时间:
2014-11-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Larsson A
通讯作者:
Larsson A