Evidence map›Paper›PMID 31236242›Full record

ArticleEcology and evolution2019

Improved detection of influenza A virus from blue-winged teals by sequencing directly from swab material.

Lucas M Ferreri, Lucia Ortiz, Ginger Geiger, Gonzalo P Barriga, Rebecca Poulson, Ana Silvia Gonzalez-Reiche, Jo Anne Crum, David Stallknecht, David Moran, Celia Cordon-Rosales and 2 more

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  3. Improved influenza A whole-genome sequencing protocol.Frontiers in cellular and infection microbiology · 2024
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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

12 authors at 4 institutions in 3 countries.

Lucas M FerreriPoultry Diagnostic and Research Center, Department of Population Health, College of Veterinary Medicine University of Georgia Athens Georgia.ORCID https://orcid.org/0000-0002-1069-9500
Lucia OrtizPoultry Diagnostic and Research Center, Department of Population Health, College of Veterinary Medicine University of Georgia Athens Georgia.
Ginger GeigerPoultry Diagnostic and Research Center, Department of Population Health, College of Veterinary Medicine University of Georgia Athens Georgia.
Gonzalo P BarrigaLaboratory of Emerging Viruses, Virology Program Institute of Biomedical Sciences, Faculty of Medicine Universidad de Chile Santiago Chile.
Rebecca PoulsonSoutheastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine University of Georgia Athens Georgia.
Ana Silvia Gonzalez-ReicheDepartment of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai New York New York.
Jo Anne CrumSoutheastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine University of Georgia Athens Georgia.
David StallknechtSoutheastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine University of Georgia Athens Georgia.
David MoranCentro de Estudios en Salud Universidad del Valle de Guatemala Guatemala City Guatemala.
Celia Cordon-RosalesCentro de Estudios en Salud Universidad del Valle de Guatemala Guatemala City Guatemala.
Daniela RajaoPoultry Diagnostic and Research Center, Department of Population Health, College of Veterinary Medicine University of Georgia Athens Georgia.
Daniel R PerezPoultry Diagnostic and Research Center, Department of Population Health, College of Veterinary Medicine University of Georgia Athens Georgia.ORCID https://orcid.org/0000-0002-6569-5689
University of Georgia · USUniversidad del Valle de Guatemala · GTIcahn School of Medicine at Mount Sinai · USUniversity of Chile · CL

Funding

NIAID NIH HHS HHSN272201400006CNIAID NIH HHS HHSN272201400008C
6 · The paper itself

Abstract

abstractThe greatest diversity of influenza A virus (IAV) is found in wild aquatic birds of the orders Anseriformes and Charadriiformes. In these birds, IAV replication occurs mostly in the intestinal tract. Fecal, cloacal, and/or tracheal swabs are typically collected and tested by real-time RT-PCR (rRT-PCR) and/or by virus isolation in embryonated chicken eggs in order to determine the presence of IAV. Virus isolation may impose bottlenecks that select variant populations that are different from those circulating in nature, and such bottlenecks may result in artifactual representation of subtype diversity and/or underrepresented mixed infections. The advent of next-generation sequencing (NGS) technologies provides an opportunity to explore to what extent IAV subtype diversity is affected by virus isolation in eggs. In the present work, we evaluated the advantage of sequencing by NGS directly from swab material of IAV rRT-PCR-positive swabs collected during the 2013-14 surveillance season in Guatemala and compared to results from NGS after virus isolation. The results highlight the benefit of sequencing IAV genomes directly from swabs to better understand subtype diversity and detection of alternative amino acid motifs that could otherwise escape detection using traditional methods of virus isolation. In addition, NGS sequencing data from swabs revealed reduced presence of defective interfering particles compared to virus isolates. We propose an alternative workflow in which original swab samples positive for IAV by rRT-PCR are first subjected to NGS before attempting viral isolation. This approach should speed the processing of samples and better capture natural IAV diversity. OPEN RESEARCH BADGES: This article has earned an Open Data Badge for making publicly available the digitally-shareable data necessary to reproduce the reported results. The data is available at https://doi.org/10.5061/dryad.3h2n106.

Indexed as

blue‐winged tealGuatemalaIlluminainfluenza A virusnext‐generation sequencingwild bird

Identifiers

PMID31236242
PMCPMC6580304
OpenAlexW2944667416

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.