Evidence map›Paper›PMID 36757937›Full record

ArticlePLoS biology2023

Superinfection exclusion creates spatially distinct influenza virus populations.

Anna Sims, Laura Burgess Tornaletti, Seema Jasim, Chiara Pirillo, Ryan Devlin, Jack C Hirst, Colin Loney, Joanna Wojtus, Elizabeth Sloan, Luke Thorley and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 39 citations in OpenAlex.

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  14. Dispersal of influenza virus populations within the respiratory tract shapes their evolutionary potential.Proceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Anna SimsMRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom.ORCID 0000-0002-5531-1100
Laura Burgess TornalettiMRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom.
Seema JasimMRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom.
Chiara PirilloBeatson Institute for Cancer Research, Glasgow, United Kingdom.
Ryan DevlinBeatson Institute for Cancer Research, Glasgow, United Kingdom.
Jack C HirstMRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom.
Colin LoneyMRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom.
Joanna WojtusMRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom.
Elizabeth SloanMRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom.
Luke ThorleyMRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom.
Chris BoutellMRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom.
Edward RobertsBeatson Institute for Cancer Research, Glasgow, United Kingdom.
Edward HutchinsonMRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom.ORCID 0000-0003-3673-9096
MRC University of Glasgow Centre for Virus Research · GBCancer Research UK Scotland Institute · GB

Funding

Medical Research Council MC_UU_00034/2Medical Research Council MC_UU_12014/5Medical Research Council MC_UU_12014/9Medical Research Council MR/N008618/1Medical Research Council MR/V035789/1
6 · The paper itself

Abstract

Interactions between viruses during coinfections can influence viral fitness and population diversity, as seen in the generation of reassortant pandemic influenza A virus (IAV) strains. However, opportunities for interactions between closely related viruses are limited by a process known as superinfection exclusion (SIE), which blocks coinfection shortly after primary infection. Using IAVs, we asked whether SIE, an effect which occurs at the level of individual cells, could limit interactions between populations of viruses as they spread across multiple cells within a host. To address this, we first measured the kinetics of SIE in individual cells by infecting them sequentially with 2 isogenic IAVs, each encoding a different fluorophore. By varying the interval between addition of the 2 IAVs, we showed that early in infection SIE does not prevent coinfection, but that after this initial lag phase the potential for coinfection decreases exponentially. We then asked how the kinetics of SIE onset controlled coinfections as IAVs spread asynchronously across monolayers of cells. We observed that viruses at individual coinfected foci continued to coinfect cells as they spread, because all new infections were of cells that had not yet established SIE. In contrast, viruses spreading towards each other from separately infected foci could only establish minimal regions of coinfection before reaching cells where coinfection was blocked. This created a pattern of separate foci of infection, which was recapitulated in the lungs of infected mice, and which is likely to be applicable to many other viruses that induce SIE. We conclude that the kinetics of SIE onset segregate spreading viral infections into discrete regions, within which interactions between virus populations can occur freely, and between which they are blocked.

Indexed as

CoinfectionInfluenza, HumanOrthomyxoviridaeSuperinfectionAnimalsHumansMiceReassortant Viruses

Identifiers

PMID36757937
PMCPMC9910727
OpenAlexW4319656759

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.