A survey of overlooked viral infections in biological experiment systems.
A survey of overlooked viral infections in biological experiment systems.
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DOI：
10.1371/journal.pone.0105348
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Xu F
中科院分区：
文献类型：
--
作者：
Wang Y;Wang H;Xu K;Ni P;Zhang H;Ma J;Yang H;Xu F
人们普遍认为，地球上有许多未知的病毒。对于已知的病毒，我们是否知道它们的流行程度，甚至在我们的实验系统中？在这里，我们使用最近发表的小RNA测序数据集报告了一项病毒调查。组装sRNA读段，并使用BLASTn程序针对NCBI核苷酸（nt）数据库筛选重叠群的病毒同源物。令我们惊讶的是，大约30%（28/94）的出版物在其数据集中具有高度评分的病毒序列。其中，只有2篇出版物报告了病毒感染。虽然在一些出版物中使用了病毒载体，但在20多篇出版物中出现了没有任何可识别来源的病毒序列。通过使用sRNA谱确定病毒读段的分布和抗病毒RNA干扰（RNAi）途径，我们证明了许多鉴定的病毒确实正在感染并产生宿主RNAi反应的证据。由于病毒感染影响宿主分子生物学和代谢的许多方面，因此需要在实验系统中积极研究病毒的存在和影响。
It is commonly accepted that there are many unknown viruses on the planet. For the known viruses, do we know their prevalence, even in our experimental systems? Here we report a virus survey using recently published small (s)RNA sequencing datasets. The sRNA reads were assembled and contigs were screened for virus homologues against the NCBI nucleotide (nt) database using the BLASTn program. To our surprise, approximately 30% (28 out of 94) of publications had highly scored viral sequences in their datasets. Among them, only two publications reported virus infections. Though viral vectors were used in some of the publications, virus sequences without any identifiable source appeared in more than 20 publications. By determining the distributions of viral reads and the antiviral RNA interference (RNAi) pathways using the sRNA profiles, we showed evidence that many of the viruses identified were indeed infecting and generated host RNAi responses. As virus infections affect many aspects of host molecular biology and metabolism, the presence and impact of viruses needs to be actively investigated in experimental systems.
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