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通过对废水进行深度核酸测序来研究病原体动态和发现新型病毒和酶。

Pathogen dynamics and discovery of novel viruses and enzymes by deep nucleic acid sequencing of wastewater.

机构信息

Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Berlin, Germany.

Institute for Experimental Virology, TWINCORE Centre for Experimental and Clinical Infection Research, A Joint Venture between the Hannover Medical School (MHH) and the Helmholtz Centre for Infection Research (HZI), Hannover, Germany; Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany.

出版信息

Environ Int. 2024 Aug;190:108875. doi: 10.1016/j.envint.2024.108875. Epub 2024 Jul 8.

Abstract

Wastewater contains an extensive reservoir of genetic information, yet largely unexplored. Here, we analyzed by high-throughput sequencing total nucleic acids extracted from wastewater samples collected during a 17 month-period in Berlin, Germany. By integrating global wastewater datasets and applying a novel computational approach to accurately identify viral strains within sewage RNA-sequencing data, we demonstrated the emergence and global dissemination of a specific astrovirus strain. Astrovirus abundance and sequence variation mirrored temporal and spatial patterns of infection, potentially serving as footprints of specific timeframes and geographical locations. Additionally, we revealed more than 100,000 sequence contigs likely originating from novel viral species, exhibiting distinct profiles in total RNA and DNA datasets and including undescribed bunyaviruses and parvoviruses. Finally, we identified thousands of new CRISPR-associated protein sequences, including Transposase B (TnpB), a class of compact, RNA-guided DNA editing enzymes. Collectively, our findings underscore the potential of high-throughput sequencing of total nucleic acids derived from wastewater for a broad range of applications.

摘要

污水中蕴藏着丰富的遗传信息,但目前这方面的研究还很有限。在这里,我们通过高通量测序分析了从德国柏林采集的 17 个月期间的污水样本中的总核酸。通过整合全球污水数据集并应用一种新颖的计算方法,我们能够准确识别污水 RNA 测序数据中的病毒株,从而证明了一种特定星状病毒株的出现和全球传播。星状病毒的丰度和序列变异与感染的时间和空间模式相吻合,可能成为特定时间和地理位置的痕迹。此外,我们还揭示了超过 100000 个可能源自新型病毒物种的序列片段,它们在总 RNA 和 DNA 数据集中表现出不同的特征,包括未被描述的 bunyaviruses 和 parvoviruses。最后,我们鉴定了数千个新的 CRISPR 相关蛋白序列,包括转座酶 B(TnpB),这是一类紧凑的、RNA 指导的 DNA 编辑酶。总之,我们的研究结果强调了从污水中提取的总核酸进行高通量测序在广泛应用方面的潜力。

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