Evidence map›Paper›PMID 33234046›Full record

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

Method comparison of targeted influenza A virus typing and whole-genome sequencing from respiratory specimens of companion animals.

Patrick K Mitchell, Brittany D Cronk, Ian E H Voorhees, Derek Rothenheber, Renee R Anderson, Timothy H Chan, Brian R Wasik, Edward J Dubovi, Colin R Parrish, Laura B Goodman

Open access · bronzeAbstract readComparative Study
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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

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  10. Improved influenza A whole-genome sequencing protocol.Frontiers in cellular and infection microbiology · 2024
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  15. 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
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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

10 authors at 1 institution in 1 country.

Patrick K MitchellDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY.ORCID https://orcid.org/0000-0001-6848-0846
Brittany D CronkDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY.ORCID https://orcid.org/0000-0001-7239-4262
Ian E H VoorheesBaker Institute for Animal Health and Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY.
Derek RothenheberDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY.
Renee R AndersonDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY.
Timothy H ChanDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY.
Brian R WasikBaker Institute for Animal Health and Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY.ORCID https://orcid.org/0000-0001-5442-3883
Edward J DuboviDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY.
Colin R ParrishBaker Institute for Animal Health and Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY.ORCID https://orcid.org/0000-0002-1836-6655
Laura B GoodmanDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY.ORCID https://orcid.org/0000-0002-8327-3092
Cornell University · US

Funding

Genomic surveillance for antimicrobial resistance in animalsU18FD006716 · FDA · CORNELL UNIVERSITY · PI Laura Brunengraber Goodman · 2019 to 2026
$707k
Adapting molecular food safety tests to alternative matricesU18FD005144 · FDA · CORNELL UNIVERSITY · PI GOODMAN, LAURA BRUNENGRABER · 2014 to 2019
$516k
Evaluation of the iSeq platform for E. coli pathotypingU18FD006714 · FDA · CORNELL UNIVERSITY · PI GOODMAN, LAURA BRUNENGRABER · 2019 to 2019
$225k
Capacity for accredited pathogen WGS in veterinary diagnosticsU18FD006448 · FDA · CORNELL UNIVERSITY · PI GOODMAN, LAURA BRUNENGRABER · 2018 to 2018
$73k
FDA HHS U18 FD005144FDA HHS U18 FD006448FDA HHS U18 FD006714FDA HHS U18 FD006716
6 · The paper itself

Abstract

Epidemics of H3N8 and H3N2 influenza A viruses (IAVs) in dogs, along with recognition of spillover infections from IAV strains typically found in humans or other animals, have emphasized the importance of efficient laboratory testing. Given the lack of active IAV surveillance or immunization requirements for dogs, cats, or horses imported into the United States, serotype prediction and whole-genome sequencing of positive specimens detected at veterinary diagnostic laboratories are also needed. The conserved sequences at the ends of the viral genome segments facilitate universal amplification of all segments of viral genomes directly from respiratory specimens. Although several methods for genomic analysis have been reported, no optimization focusing on companion animal strains has been described, to our knowledge. We compared 2 sets of published universal amplification primers using 26 IAV-positive specimens from dogs, horses, and a cat. Libraries prepared from the resulting amplicons were sequenced using Illumina chemistry, and reference-based assemblies were generated from the data produced by both methods. Although both methods produced high-quality data, coverage profiles and base calling differed between the 2 methods. The sequence data were also used to identify the subtype of the IAV strains sequenced and then compared to standard PCR assays for neuraminidase types N2 and N8.

Indexed as

AnimalsCat DiseasesCatsDog DiseasesDogsGenome, ViralHorse DiseasesHorsesInfluenza A Virus, H3N2 SubtypeInfluenza A Virus, H3N8 SubtypeOrthomyxoviridae InfectionsSequence Analysis, RNAWhole Genome Sequencingcanineequinefelineinfluenza A virusinfluenza matrixM-RT-PCRmulti-segment PCRneuraminidasereverse-transcription PCRsingle-nucleotide polymorphismtypingwhole-genome sequencing

Identifiers

PMID33234046
PMCPMC7953085
OpenAlexW3110597950

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.