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

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, sequen...

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Autores principales: Jang, Ho Bin, Chittick, Lauren, Li, Yueh-Fen, Zablocki, Olivier, Sanderson, Courtney M., Carrillo, Alfonso, van den Engh, Ger, Sullivan, Matthew B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723727/
https://www.ncbi.nlm.nih.gov/pubmed/37938680
http://dx.doi.org/10.1038/s43705-022-00093-9
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author Jang, Ho Bin
Chittick, Lauren
Li, Yueh-Fen
Zablocki, Olivier
Sanderson, Courtney M.
Carrillo, Alfonso
van den Engh, Ger
Sullivan, Matthew B.
author_facet Jang, Ho Bin
Chittick, Lauren
Li, Yueh-Fen
Zablocki, Olivier
Sanderson, Courtney M.
Carrillo, Alfonso
van den Engh, Ger
Sullivan, Matthew B.
author_sort Jang, Ho Bin
collection PubMed
description 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.
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spelling pubmed-97237272023-01-04 Viral tag and grow: a scalable approach to capture and characterize infectious virus–host pairs Jang, Ho Bin Chittick, Lauren Li, Yueh-Fen Zablocki, Olivier Sanderson, Courtney M. Carrillo, Alfonso van den Engh, Ger Sullivan, Matthew B. ISME Commun Article 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. Nature Publishing Group UK 2022-02-01 /pmc/articles/PMC9723727/ /pubmed/37938680 http://dx.doi.org/10.1038/s43705-022-00093-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Jang, Ho Bin
Chittick, Lauren
Li, Yueh-Fen
Zablocki, Olivier
Sanderson, Courtney M.
Carrillo, Alfonso
van den Engh, Ger
Sullivan, Matthew B.
Viral tag and grow: a scalable approach to capture and characterize infectious virus–host pairs
title Viral tag and grow: a scalable approach to capture and characterize infectious virus–host pairs
title_full Viral tag and grow: a scalable approach to capture and characterize infectious virus–host pairs
title_fullStr Viral tag and grow: a scalable approach to capture and characterize infectious virus–host pairs
title_full_unstemmed Viral tag and grow: a scalable approach to capture and characterize infectious virus–host pairs
title_short Viral tag and grow: a scalable approach to capture and characterize infectious virus–host pairs
title_sort viral tag and grow: a scalable approach to capture and characterize infectious virus–host pairs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723727/
https://www.ncbi.nlm.nih.gov/pubmed/37938680
http://dx.doi.org/10.1038/s43705-022-00093-9
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