Evidence map›Paper›PMID 27707932›Full record

ArticleJournal of virology2016

Deep Sequencing of Influenza A Virus from a Human Challenge Study Reveals a Selective Bottleneck and Only Limited Intrahost Genetic Diversification.

Ashley Sobel Leonard, Micah T McClain, Gavin J D Smith, David E Wentworth, Rebecca A Halpin, Xudong Lin, Amy Ransier, Timothy B Stockwell, Suman R Das, Anthony S Gilbert and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of virology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
13.3field-weighted citation impact, top 1% 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

65 citing papers in PubMed, 1 synthesis or guideline pooled it, 109 citations in OpenAlex.

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5 more citing papers are in PubMed but not listed here.

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

14 authors at 4 institutions in 3 countries.

Ashley Sobel LeonardDepartment of Biology, Duke University, Durham, North Carolina, USA Ashley.Sobel@duke.edu.
Micah T McClainDuke Center for Applied Genomics and Precision Medicine, Durham, North Carolina, USA.
Gavin J D SmithLaboratory of Virus Evolution, Emerging Infectious Diseases, Duke-NUS Medical School, Singapore.
David E WentworthJ. Craig Venter Institute, Rockville, Maryland, USA.
Rebecca A HalpinJ. Craig Venter Institute, Rockville, Maryland, USA.
Xudong LinJ. Craig Venter Institute, Rockville, Maryland, USA.
Amy RansierJ. Craig Venter Institute, Rockville, Maryland, USA.
Timothy B StockwellJ. Craig Venter Institute, Rockville, Maryland, USA.ORCID http://orcid.org/0000-0002-3595-4539
Suman R DasJ. Craig Venter Institute, Rockville, Maryland, USA.ORCID http://orcid.org/0000-0003-2496-9724
Anthony S GilberthVIVO, London, United Kingdom.
Robert Lambkin-WilliamshVIVO, London, United Kingdom.
Geoffrey S GinsburgDuke Center for Applied Genomics and Precision Medicine, Durham, North Carolina, USA.
Christopher W WoodsDuke Center for Applied Genomics and Precision Medicine, Durham, North Carolina, USA.
Katia KoelleDepartment of Biology, Duke University, Durham, North Carolina, USA.
J. Craig Venter Institute · USDuke University · UShVIVO (United Kingdom) · GBDuke-NUS Medical School · SG

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007171 · NIGMS · DUKE UNIVERSITY · PI KONTOS, CHRISTOPHER D · 1985 to 2021
$31.2M
The J. Craig Venter Institute Genome Center for Infectious DiseasesU19AI110819 · NIAID · J. CRAIG VENTER INSTITUTE, INC. · PI TAN, GENE · 2014 to 2018
$29.7M
Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Virginia B Kraus · 2006 to 2026
$24.6M
Understanding Transmission with Integrated Genetic and Epidemiologic InferenceU54GM111274 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI VESPIGNANI, ALESSANDRO · 2014 to 2018
$12.5M
NIAID NIH HHS HHSN272200900007CNIAID NIH HHS HHSN272201400006CNIAID NIH HHS U19 AI110819NIA NIH HHS P30 AG028716NIGMS NIH HHS T32 GM007171NIGMS NIH HHS U54 GM111274
6 · The paper itself

Abstract

Knowledge of influenza virus evolution at the point of transmission and at the intrahost level remains limited, particularly for human hosts. Here, we analyze a unique viral data set of next-generation sequencing (NGS) samples generated from a human influenza challenge study wherein 17 healthy subjects were inoculated with cell- and egg-passaged virus. Nasal wash samples collected from 7 of these subjects were successfully deep sequenced. From these, we characterized changes in the subjects' viral populations during infection and identified differences between the virus in these samples and the viral stock used to inoculate the subjects. We first calculated pairwise genetic distances between the subjects' nasal wash samples, the viral stock, and the influenza virus A/Wisconsin/67/2005 (H3N2) reference strain used to generate the stock virus. These distances revealed that considerable viral evolution occurred at various points in the human challenge study. Further quantitative analyses indicated that (i) the viral stock contained genetic variants that originated and likely were selected for during the passaging process, (ii) direct intranasal inoculation with the viral stock resulted in a selective bottleneck that reduced nonsynonymous genetic diversity in the viral hemagglutinin and nucleoprotein, and (iii) intrahost viral evolution continued over the course of infection. These intrahost evolutionary dynamics were dominated by purifying selection. Our findings indicate that rapid viral evolution can occur during acute influenza infection in otherwise healthy human hosts when the founding population size of the virus is large, as is the case with direct intranasal inoculation. IMPORTANCE: Influenza viruses circulating among humans are known to rapidly evolve over time. However, little is known about how influenza virus evolves across single transmission events and over the course of a single infection. To address these issues, we analyze influenza virus sequences from a human challenge experiment that initiated infection with a cell- and egg-passaged viral stock, which appeared to have adapted during its preparation. We find that the subjects' viral populations differ genetically from the viral stock, with subjects' viral populations having lower representation of the amino-acid-changing variants that arose during viral preparation. We also find that most of the viral evolution occurring over single infections is characterized by further decreases in the frequencies of these amino-acid-changing variants and that only limited intrahost genetic diversification through new mutations is apparent. Our findings indicate that influenza virus populations can undergo rapid genetic changes during acute human infections.

Indexed as

Genetic VariationGenome, ViralAnimalsChickensEvolution, MolecularHigh-Throughput Nucleotide SequencingHumansInfluenza A Virus, H3N2 SubtypeInfluenza, HumanModels, GeneticRNA, ViralSelection, GeneticZygoteRNA, Viral

Identifiers

PMID27707932
PMCPMC5126380
OpenAlexW2527990262

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.