Evidence map›Paper›PMID 37938680›Full record

ArticleISME communications2022

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

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

Open access · goldAbstract read
In one paragraph

Article in ISME communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Ho Bin JangDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.ORCID http://orcid.org/0000-0003-1316-316X
Lauren ChittickDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.
Yueh-Fen LiDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.
Olivier ZablockiDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.ORCID http://orcid.org/0000-0001-7561-1373
Courtney M SandersonDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.
Alfonso CarrilloDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.
Ger van den EnghMarine Cytometry Inc, Concrete, WA, USA.
Matthew B SullivanDepartment of Microbiology, The Ohio State University, Columbus, OH, USA. Sullivan.948@osu.edu.ORCID http://orcid.org/0000-0001-8398-8234
The Ohio State University · US

Funding

National Science Foundation (NSF) 1829640
6 · The paper itself

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.

Identifiers

PMID37938680
PMCPMC9723727
OpenAlexW4221110430

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.