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Hidden Viral Sequences in Public Sequencing Data and Warning for Future Emerging Diseases

机译：在公共测序数据中隐藏病毒序列和未来新兴疾病的警告

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ABSTRACT RNA viruses cause numerous emerging diseases, mostly due to transmission from mammalian and avian reservoirs. Large-scale surveillance of RNA viral infections in these animals is a fundamental step for controlling viral infectious diseases. Metagenomic analysis is a powerful method for virus identification with low bias and has contributed substantially to the discovery of novel viruses. Deep-sequencing data have been collected from diverse animals and accumulated in public databases, which can be valuable resources for identifying unknown viral sequences. Here, we screened for infections of 33 RNA viral families in publicly available mammalian and avian sequencing data and found approximately 900 hidden viral infections. We also discovered six nearly complete viral genomes in livestock, wild, and experimental animals: hepatovirus in a goat, hepeviruses in blind mole-rats and a galago, astrovirus in macaque monkeys, parechovirus in a cow, and pegivirus in tree shrews. Some of these viruses were phylogenetically close to human-pathogenic viruses, suggesting the potential risk of causing disease in humans upon infection. Furthermore, infections of five novel viruses were identified in several different individuals, indicating that their infections may have already spread in the natural host population. Our findings demonstrate the reusability of public sequencing data for surveying viral infections and identifying novel viral sequences, presenting a warning about a new threat of viral infectious disease to public health.
机译：摘要RNA病毒导致许多新兴疾病，主要是由于哺乳动物和禽液水库的传输。这些动物中RNA病毒感染的大规模监测是控制病毒传染病的基本步骤。 Metagenomic分析是具有低偏差的病毒鉴定的强大方法，并且基本上促进了新型病毒的发现。已经从不同的动物收集了深序数据并在公共数据库中累积，这可能是识别未知病毒序列的有价值的资源。在这里，我们筛查了公共哺乳动物和禽流序测序数据中33个RNA病毒家族的感染，发现了大约900个隐藏的病毒感染。我们还发现了牲畜，野生和实验动物的六种几乎完全的病毒基因组：羊皮病毒在山羊，肺病毒在盲人鼹鼠和加拉戈，在猕猴，母牛的宫颈病毒中，在树泼妇的Pegivirus。其中一些病毒在系统源性近似于人致病病毒，表明感染对人类引起疾病的潜在风险。此外，在几种不同的个体中鉴定了五种新病毒的感染，表明它们的感染可能已经在天然宿主人群中传播。我们的研究结果证明了用于测量病毒感染和鉴定新型病毒序列的公共测序数据的可重用性，提出了关于病毒传染病对公共卫生的新威胁的警告。

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