Hagberg Emma E, Pedersen Anders G, Larsen Lars E, Krarup Anders
Department of Bioinformatics, Technical University of Denmark, Lyngby, Denmark.
Kopenhagen Diagnostics, Kopenhagen Fur, Glostrup, Denmark.
J Gen Virol. 2017 Jun;98(6):1360-1371. doi: 10.1099/jgv.0.000777. Epub 2017 Jun 13.
Aleutian mink disease virus (AMDV) is a frequently encountered pathogen associated with mink farming. Previous phylogenetic analyses of AMDV have been based on shorter and more conserved parts of the genome, e.g. the partial NS1 gene. Such fragments are suitable for detection but are less useful for elucidating transmission pathways while sequencing entire viral genomes provides additional informative sites and often results in better-resolved phylogenies. We explore how whole-genome sequencing can benefit investigations of AMDV transmission by reconstructing the relationships between AMDV field samples from a Danish outbreak. We show that whole-genome phylogenies are much better resolved than those based on the partial NS1 gene sequences extracted from the same alignment. Well-resolved phylogenies contain more information about the underlying transmission trees and are useful for understanding the spread of a pathogen. In the main case investigated here, the transmission path suggested by the tree structure was supported by epidemiological data. The use of molecular clock models further improved tree resolution and provided time estimates for the viral ancestors consistent with the proposed direction of spread. It was however impossible to infer transmission pathways from the partial NS1 gene tree, since all samples from the case farms branched out from a single internal node. A sliding window analysis showed that there were no shorter genomic regions providing the same phylogenetic resolution as the entire genome. Altogether, these results suggest that phylogenetic analyses based on whole-genome sequencing taking into account sampling dates and epidemiological data is a promising set of tools for clarifying AMDV transmission.
阿留申水貂病病毒(AMDV)是水貂养殖中常见的病原体。以往对AMDV的系统发育分析是基于基因组中较短且保守性更强的部分,例如部分NS1基因。这类片段适合用于检测,但在阐明传播途径方面作用较小,而对整个病毒基因组进行测序可提供更多信息位点,且通常能得到分辨率更高的系统发育树。我们通过重建丹麦一次疫情中AMDV野外样本之间的关系,探讨全基因组测序如何有助于AMDV传播的调查。我们发现,全基因组系统发育树的分辨率比基于从同一比对中提取的部分NS1基因序列构建的系统发育树要高得多。分辨率高的系统发育树包含了更多关于潜在传播树的信息,有助于了解病原体的传播情况。在此研究的主要案例中,系统发育树结构所提示的传播路径得到了流行病学数据的支持。分子钟模型的使用进一步提高了树的分辨率,并为病毒祖先提供了与提议的传播方向一致的时间估计。然而,从部分NS1基因树无法推断传播途径,因为病例养殖场的所有样本都从单个内部节点分支出来。滑动窗口分析表明,不存在能提供与整个基因组相同系统发育分辨率的较短基因组区域。总之,这些结果表明,基于全基因组测序并考虑采样日期和流行病学数据的系统发育分析是阐明AMDV传播的一套很有前景的工具。