ArticleEMBO reports2026
Synchronous co-infection drives lineage representation in influenza A virus populations.
Article in EMBO reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
RNA viruses evolve through replication errors that generate diversity but can also trigger cellular antiviral responses, creating an inherent tension between adaptation and host control. Influenza A virus biology adds to this complexity through genome segmentation, which enables reassortment but also creates infection heterogeneity through incomplete genome expression and packaging defects, and through superinfection exclusion, which restricts complementation. Together, these constraints would be expected to limit the consistent expansion of individual variants, yet the influenza A virus continues to adapt in nature, suggesting that specific infection contexts may allow disproportionate lineage amplification. To identify such contexts, we paired in vitro single-cell transcriptomics with viral lineage tracking to link infected cellular environments to viral output dynamics. We find that lineage enrichment predominantly occurs during synchronous coinfection, when multiple viral genomes occupy the same cell, and viral output is increased. These findings identify a timing-dependent condition under which lineage representation can shift, and predict that traits increasing burst output or the likelihood of synchronous coinfection may disproportionately shape population composition.
Identifiers
42919914What OpenQuestion holds
Registered trials
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.