Evidence map›Paper›PMID 39728926›Full record

ArticleeLife2024

Eco-evolutionary dynamics of adapting pathogens and host immunity.

Pierre Barrat-Charlaix, Richard A Neher

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Ecological diversification in rapidly evolving populations.bioRxiv : the preprint server for biology · 2025
    Article
  4. Concepts and methods for predicting viral evolution.bioRxiv : the preprint server for biology · 2024
    Article
  5. Article
  6. Article
  7. 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

2 authors.

Pierre Barrat-CharlaixBiozentrum, Universität Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0002-3816-3724
Richard A NeherBiozentrum, Universität Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0003-2525-1407

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 310030_188547
6 · The paper itself

Abstract

As pathogens spread in a population of hosts, immunity is built up, and the pool of susceptible individuals are depleted. This generates selective pressure, to which many human RNA viruses, such as influenza virus or SARS-CoV-2, respond with rapid antigenic evolution and frequent emergence of immune evasive variants. However, the host's immune systems adapt, and older immune responses wane, such that escape variants only enjoy a growth advantage for a limited time. If variant growth dynamics and reshaping of host-immunity operate on comparable time scales, viral adaptation is determined by eco-evolutionary interactions that are not captured by models of rapid evolution in a fixed environment. Here, we use a Susceptible/Infected model to describe the interaction between an evolving viral population in a dynamic but immunologically diverse host population. We show that depending on strain cross-immunity, heterogeneity of the host population, and durability of immune responses, escape variants initially grow exponentially, but lose their growth advantage before reaching high frequencies. Their subsequent dynamics follows an anomalous random walk determined by future escape variants and results in variant trajectories that are unpredictable. This model can explain the apparent contradiction between the clearly adaptive nature of antigenic evolution and the quasi-neutral dynamics of high-frequency variants observed for influenza viruses.

Indexed as

COVID-19Host-Pathogen InteractionsSARS-CoV-2Biological EvolutionEvolution, MolecularHumansImmune EvasionInfluenza, HumanOrthomyxoviridaecomputational biologycoronaviruscross-immunityevolutionary biologyevolutionary predictioninfluenza virussystems biologyviruses

Identifiers

PMID39728926
PMCPMC11677248

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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.