Evidence map›Paper›PMID 42643861›Full record

ArticleVirus evolution2026

Stochastic intracellular replication dynamics shape population-level evolution in Influenza A Virus.

Ernesto Alejandro Segredo-Otero, David Gresham

Abstract read
In one paragraph

Article in Virus evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Ernesto Alejandro Segredo-OteroCenter for Genomics and Systems Biology, Department of Biology, 12 Waverly Place, New York University, New York, NY 10003, United States.ORCID https://orcid.org/0000-0003-0680-5961
David GreshamCenter for Genomics and Systems Biology, Department of Biology, 12 Waverly Place, New York University, New York, NY 10003, United States.ORCID https://orcid.org/0000-0002-4028-0364

Funding

Effects of obesity on the dynamics of Influenza transmissionR01AI140766 · NIAID · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI GRESHAM, DAVID, SCHULTZ-CHERRY, STACEY L · 2019 to 2023
$4.1M
Deciphering the Heterogeneous Response to Influenza by a Multi-Scale Systems ApproachR01AI170112 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHRISTIAN FORST · 2022 to 2026
$3.1M
Regulated and evolutionary responses to nutritional stressR35GM153419 · NIGMS · NEW YORK UNIVERSITY · PI David Gresham · 2024 to 2026
$1.8M
NIAID NIH HHS R01 AI140766NIAID NIH HHS R01 AI170112NIGMS NIH HHS R35 GM153419
6 · The paper itself

Abstract

Understanding the sources of genetic diversity in Influenza A Virus (IAV) infections is crucial for understanding the mechanisms of viral evolution and immune escape. Whereas prior studies have characterized the effects of population bottlenecks during host-to-host transmission and intrahost tissue-to-tissue dissemination, the role of intracellular replication processes on IAV genetic diversity remains largely unexplored. In this study, we used stochastic mathematical modelling to simulate the replication of genetically distinct IAV strains within individual cells and tissues. Our results reveal significant bottleneck effects within a single infection cycle of individual cells. Intracellular bottleneck effects are driven by stochastic molecular processes and lead to the expansion or elimination of neutral variants creating large-scale differences between the initial and final frequencies of genetic variants in individual cells. By expanding our findings to a population-level model, we show that IAV intracellular replication reduces the effective population size, thereby diminishing the impact of selection and increasing the role of genetic drift. Our findings highlight the impact of intracellular replication processes on IAV genetic diversity.

Indexed as

evolutionInfluenza A Virusreplication

Identifiers

PMID42643861
PMCPMC13505522

What OpenQuestion holds

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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.