Evidence map›Paper›PMID 33357075›Full record

ArticleJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc2021

Randomly primed, strand-switching, MinION-based sequencing for the detection and characterization of cultured RNA viruses.

Kelsey T Young, Kevin K Lahmers, Holly S Sellers, David E Stallknecht, Rebecca L Poulson, Jerry T Saliki, Stephen Mark Tompkins, Ian Padykula, Chris Siepker, Elizabeth W Howerth and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Nanopore sequencing in veterinary medicine: from concepts to clinical applications.Frontiers in cellular and infection microbiology · 2025
    Review
  5. Investigation of laboratory methods for characterization of aquatic viruses in fish infected experimentally with infectious salmon anemia virus.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Agnostic Sequencing for Detection of Viral Pathogens.Clinical microbiology reviews · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Special issue on applied next-generation sequencing in veterinary diagnostic laboratories.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2021
    Article
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

12 authors at 2 institutions in 1 country.

Kelsey T YoungDepartment of Pathology, College of Veterinary Medicine, University of Georgia, Athens, GA.ORCID https://orcid.org/0000-0003-1163-567X
Kevin K LahmersDepartment of Biomedical Sciences & Pathobiology, VA-MD College of Veterinary Medicine, Virginia Tech University, Blacksburg, VA.
Holly S SellersPoultry Diagnostic and Research Center, Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, GA.
David E StallknechtSoutheastern Cooperative Wildlife Disease Study Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, GA.
Rebecca L PoulsonSoutheastern Cooperative Wildlife Disease Study Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, GA.
Jerry T SalikiAthens Veterinary Diagnostic Laboratory, College of Veterinary Medicine, University of Georgia, Athens, GA.
Stephen Mark TompkinsCenter for Vaccines and Immunology, Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA.
Ian PadykulaCenter for Vaccines and Immunology, Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA.ORCID https://orcid.org/0000-0003-2889-1864
Chris SiepkerDepartment of Pathology, College of Veterinary Medicine, University of Georgia, Athens, GA.
Elizabeth W HowerthDepartment of Pathology, College of Veterinary Medicine, University of Georgia, Athens, GA.
Michelle ToddDepartment of Biomedical Sciences & Pathobiology, VA-MD College of Veterinary Medicine, Virginia Tech University, Blacksburg, VA.
James B StantonDepartment of Pathology, College of Veterinary Medicine, University of Georgia, Athens, GA.
University of Georgia · USVirginia–Maryland College of Veterinary Medicine · US

Funding

NIAID NIH HHS HHSN272201400004C
6 · The paper itself

Abstract

RNA viruses rapidly mutate, which can result in increased virulence, increased escape from vaccine protection, and false-negative detection results. Targeted detection methods have a limited ability to detect unknown viruses and often provide insufficient data to detect coinfections or identify antigenic variants. Random, deep sequencing is a method that can more fully detect and characterize RNA viruses and is often coupled with molecular techniques or culture methods for viral enrichment. We tested viral culture coupled with third-generation sequencing for the ability to detect and characterize RNA viruses. Cultures of bovine viral diarrhea virus, canine distemper virus (CDV), epizootic hemorrhagic disease virus, infectious bronchitis virus, 2 influenza A viruses, and porcine respiratory and reproductive syndrome virus were sequenced on the MinION platform using a random, reverse primer in a strand-switching reaction, coupled with PCR-based barcoding. Reads were taxonomically classified and used for reference-based sequence building using a stock personal computer. This method accurately detected and identified complete coding sequence genomes with a minimum of 20× coverage depth for all 7 viruses, including a sample containing 2 viruses. Each lineage-typing region had at least 26× coverage depth for all viruses. Furthermore, analyzing the CDV sample through a pipeline devoid of CDV reference sequences modeled the ability of this protocol to detect unknown viruses. Our results show the ability of this technique to detect and characterize dsRNA, negative- and positive-sense ssRNA, and nonsegmented and segmented RNA viruses.

Indexed as

High-Throughput Nucleotide SequencingRNA VirusesSequence Analysis, RNAWhole Genome SequencingmetagenomicMinIONRNA virusessequencingstrand-switching

Identifiers

PMID33357075
PMCPMC7953086
OpenAlexW3117323702

What OpenQuestion holds

Textmetadata
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.