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病毒标记与培养:一种用于捕获和表征感染性病毒-宿主对的可扩展方法。

Viral tag and grow: a scalable approach to capture and characterize infectious virus-host pairs.

作者信息

Jang Ho Bin, Chittick Lauren, Li Yueh-Fen, Zablocki Olivier, Sanderson Courtney M, Carrillo Alfonso, van den Engh Ger, Sullivan Matthew B

机构信息

Department of Microbiology, The Ohio State University, Columbus, OH, USA.

Marine Cytometry Inc, Concrete, WA, USA.

出版信息

ISME Commun. 2022 Feb 1;2(1):12. doi: 10.1038/s43705-022-00093-9.

Abstract

Viral metagenomics (viromics) has reshaped our understanding of DNA viral diversity, ecology, and evolution across Earth's ecosystems. However, viromics now needs approaches to link newly discovered viruses to their host cells and characterize them at scale. This study adapts one such method, sequencing-enabled viral tagging (VT), to establish "Viral Tag and Grow" (VT + Grow) to rapidly capture and characterize viruses that infect a cultivated target bacterium, Pseudoalteromonas. First, baseline cytometric and microscopy data improved understanding of how infection conditions and host physiology impact populations in VT flow cytograms. Next, we extensively evaluated "and grow" capability to assess where VT signals reflect adsorption alone or wholly successful infections that lead to lysis. Third, we applied VT + Grow to a clonal virus stock, which, coupled to traditional plaque assays, revealed significant variability in burst size-findings that hint at a viral "individuality" parallel to the microbial phenotypic heterogeneity literature. Finally, we established a live protocol for public comment and improvement via protocols.io to maximally empower the research community. Together these efforts provide a robust foundation for VT researchers, and establish VT + Grow as a promising scalable technology to capture and characterize viruses from mixed community source samples that infect cultivable bacteria.

摘要

病毒宏基因组学(病毒组学)重塑了我们对全球生态系统中DNA病毒多样性、生态学和进化的理解。然而,病毒组学现在需要将新发现的病毒与其宿主细胞联系起来并大规模表征它们的方法。本研究采用了一种这样的方法,即测序辅助病毒标记(VT),建立了“病毒标记与培养”(VT + Grow),以快速捕获和表征感染培养的目标细菌——假交替单胞菌的病毒。首先,基线细胞计数和显微镜数据增进了我们对感染条件和宿主生理学如何影响VT流式细胞图中群体的理解。其次,我们广泛评估了“培养”能力,以评估VT信号是仅反映吸附还是完全成功感染导致裂解。第三,我们将VT + Grow应用于克隆病毒库,这与传统噬菌斑测定相结合,揭示了爆发大小的显著变异性——这些发现暗示了与微生物表型异质性文献平行的病毒“个体性”。最后,我们通过protocols.io建立了一个供公众评论和改进的实时方案,以最大限度地赋能研究群体。这些努力共同为VT研究人员提供了一个坚实的基础,并将VT + Grow确立为一种有前景的可扩展技术,用于从感染可培养细菌的混合群落源样本中捕获和表征病毒。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ad0/9723727/8cc2bb7a3c74/43705_2022_93_Fig1_HTML.jpg

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