Evidence map›Paper›PMID 34388979›Full record

ArticleBMC infectious diseases2021

Use of hemagglutinin and neuraminidase amplicon-based high-throughput sequencing with variant analysis to detect co-infection and resolve identical consensus sequences of seasonal influenza in a university setting.

Temitope O C Faleye, Deborah Adams, Sangeet Adhikari, Helen Sandrolini, Rolf U Halden, Arvind Varsani, Matthew Scotch

Abstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The re-emergence of influenza following the COVID-19 pandemic in Victoria, Australia, 2021 to 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    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

7 authors.

Temitope O C FaleyeBiodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA.
Deborah AdamsBiodesign Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA.
Sangeet AdhikariBiodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA.
Helen SandroliniArizona State University Health Services, Arizona State University, Tempe, AZ, 85287, USA.
Rolf U HaldenBiodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA.
Arvind VarsaniBiodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, 85287, USA.
Matthew ScotchBiodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA. matthew.scotch@asu.edu.

Funding

Bioinformatics Framework for Wastewater-based Surveillance of Infectious DiseasesU01LM013129 · NLM · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI HALDEN, ROLF U, SCOTCH, MATTHEW · 2020 to 2022
$3.3M
NLM NIH HHS U01 LM013129
6 · The paper itself

Abstract

backgroundLocal transmission of seasonal influenza viruses (IVs) can be difficult to resolve. Here, we study if coupling high-throughput sequencing (HTS) of hemagglutinin (HA) and neuraminidase (NA) genes with variant analysis can resolve strains from local transmission that have identical consensus genome. We analyzed 24 samples collected over four days in January 2020 at a large university in the US. We amplified complete hemagglutinin (HA) and neuraminidase (NA) genomic segments followed by Illumina sequencing. We identified consensus complete HA and NA segments using BLASTn and performed variant analysis on strains whose HA and NA segments were 100% similar.

resultsTwelve of the 24 samples were PCR positive, and we detected complete HA and/or NA segments by de novo assembly in 83.33% (10/12) of them. Similarity and phylogenetic analysis showed that 70% (7/10) of the strains were distinct while the remaining 30% had identical consensus sequences. These three samples also had IAV and IBV co-infection. However, subsequent variant analysis showed that they had distinct variant profiles. While the IAV HA of one sample had no variant, another had a T663C mutation and another had both C1379T and C1589A.

conclusionIn this study, we showed that HTS coupled with variant analysis of only HA and NA genes can help resolve variants that are closely related. We also provide evidence that during a short time period in the 2019-2020 season, co-infection of IAV and IBV occurred on the university campus and both 2020/2021 and 2021/2022 WHO recommended H1N1 vaccine strains were co-circulating.

Indexed as

CoinfectionConsensus SequenceGenetic VariationHemagglutinin Glycoproteins, Influenza VirusHemagglutininsHigh-Throughput Nucleotide SequencingHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanNeuraminidasePhylogenySeasonsHemagglutinin Glycoproteins, Influenza VirusHemagglutininsNeuraminidaseArizonaHTSInfluenza virusLocal transmissionOrthomyxoviridaeVariant analysis

Identifiers

PMID34388979
PMCPMC8360813

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Registered trials

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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.