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基于公共 RNA-Seq 数据的 kmer 分析评估变形翅膀病毒、瓦螨病毒 1 及其重组体在蜜蜂(Apis mellifera)中的相对丰度。

Relative abundance of deformed wing virus, Varroa destructor virus 1, and their recombinants in honey bees (Apis mellifera) assessed by kmer analysis of public RNA-Seq data.

机构信息

U.S. Geological Survey, Fort Collins Science Center, Fort Collins, CO, USA.

出版信息

J Invertebr Pathol. 2017 Oct;149:44-50. doi: 10.1016/j.jip.2017.07.005. Epub 2017 Jul 23.

DOI:10.1016/j.jip.2017.07.005
PMID:28743669
Abstract

Deformed wing virus (DWV) is a major pathogen of concern to apiculture, and recent reports have indicated the local predominance and potential virulence of recombinants between DWV and a related virus, Varroa destructor virus 1 (VDV). However, little is known about the frequency and titer of VDV and recombinants relative to DWV generally. In this study, I assessed the relative occurrence and titer of DWV and VDV in public RNA-seq accessions of honey bee using a rapid, kmer-based approach. Three recombinant types were detectable graphically and corroborated by de novo assembly. Recombination breakpoints did not disrupt the capsid-encoding region, consistent with previous reports, and both VDV- and DWV-derived capsids were observed in recombinant backgrounds. High abundance of VDV kmers was largely restricted to recombinant forms. Non-metric multidimensional scaling identified genotypic clusters among DWV isolates, which was corroborated by read mapping and consensus generation. The recently described DWV-C lineage was not detected in the searched accessions. The data further highlight the utility of high-throughput sequencing to monitor viral polymorphisms and statistically test biological predictors of titer, and point to the need for consistent methodologies and sampling schemes.

摘要

变形翅膀病毒(DWV)是养蜂业的主要关注病原体,最近的报告表明,DWV 与相关病毒——瓦螨病毒 1(VDV)之间的重组在当地占主导地位且具有潜在的毒力。然而,人们对 DWV 与 VDV 及其重组体的频率和滴度知之甚少。在这项研究中,我使用快速的基于 kmer 的方法评估了公共 RNA-seq 蜜蜂序列中 DWV 和 VDV 的相对发生和滴度。可以通过图形检测到三种重组类型,并通过从头组装得到证实。重组断点没有破坏衣壳编码区,这与以前的报告一致,并且在重组背景下观察到了 VDV 和 DWV 衍生的衣壳。VDV kmer 的高丰度主要局限于重组形式。非度量多维缩放法(NMDS)在 DWV 分离株中识别出基因型聚类,这得到了读取映射和共识生成的证实。在搜索的序列中未检测到最近描述的 DWV-C 谱系。该数据进一步强调了高通量测序在监测病毒多态性和统计测试滴度的生物学预测因子方面的实用性,并指出需要一致的方法和采样方案。

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