Evidence map›Paper›PMID 40597331›Full record

ArticleBMC biology2025

An ancient influenza genome from Switzerland allows deeper insights into host adaptation during the 1918 flu pandemic in Europe.

Christian Urban, Bram Vrancken, Livia V Patrono, Ariane Düx, Mathilde Le Vu, Katarina L Matthes, Nina Maria Burkhard-Koren, Navena Widulin, Thomas Schnalke, Sabina Carraro and 5 more

Abstract readHistorical Article
In one paragraph

Article in BMC biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Recovery of an 18bioRxiv : the preprint server for biology · 2026
    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

15 authors.

Christian UrbanInstitute of Evolutionary Medicine, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland. christian.urban@uzh.ch.
Bram VranckenSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Brussels, 1050, Belgium.
Livia V PatronoHelmholtz Institute for One Health, Fleischmannstraße 42, Greifswald, 17489, Germany.
Ariane DüxHelmholtz Institute for One Health, Fleischmannstraße 42, Greifswald, 17489, Germany.
Mathilde Le VuInstitute of Evolutionary Medicine, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland.
Katarina L MatthesInstitute of Evolutionary Medicine, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland.
Nina Maria Burkhard-KorenHerzpraxis Rapperswil-Jona, Alte Jonastrasse 24, Rapperswil-Jona, 8640, Switzerland.
Navena WidulinBerlin Museum of Medical History, Charité - Universitätsmedizin Berlin, Charitéplatz 1, Berlin, 10117, Germany.
Thomas SchnalkeBerlin Museum of Medical History, Charité - Universitätsmedizin Berlin, Charitéplatz 1, Berlin, 10117, Germany.
Sabina CarraroInstitute of Evolutionary Medicine, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland.
Frank RühliInstitute of Evolutionary Medicine, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland.
Philippe LemeyDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven - University of Leuven, Herestraat 49, Louvain, 3000, Belgium.
Kaspar StaubInstitute of Evolutionary Medicine, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland.
Sébastien Calvignac-SpencerHelmholtz Institute for One Health, Fleischmannstraße 42, Greifswald, 17489, Germany.
Verena J SchuenemannInstitute of Evolutionary Medicine, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland. verena.schuenemann@unibas.ch.

Funding

Digitalization Initiative of the Zurich Higher Education Institutions DIZH 2021.1_RC_ID_15EU Horizon 2020 grant MOOD H2020-874850Foundation for Research in Science and the Humanities at the University of Zurich STWF-21-011Research Foundation -- Flanders (`Fonds voor Wetenschappelijk Onderzoek -- Vlaanderen') G051322N
6 · The paper itself

Abstract

backgroundFrom 1918 to 1920, the largest influenza A virus (IAV) pandemic known to date spread globally causing between 20 to 100 million deaths. Historical records have captured critical aspects of the disease dynamics, such as the occurrence and severity of the pandemic waves. Yet, other important pieces of information such as the mutations that allowed the virus to adapt to its new host can only be obtained from IAV genomes. The analysis of specimens collected during the pandemic and still preserved in historical pathology collections can significantly contribute to a better understanding of its course. However, efficient RNA processing protocols are required to work with such specimens.

resultsHere, we describe an alternative protocol for efficient ancient RNA sequencing and evaluate its performance on historical samples, including a published positive control. The phenol/chloroform-free protocol efficiently recovers ancient viral RNA, especially small fragments, and maintains information about RNA fragment directionality through incorporating fragments by a ligation-based approach. One of the assessed historical samples allowed for the recovery of the first 1918 IAV genome from Switzerland. This genome, derived from a patient deceased during the beginning of the first pandemic wave in Switzerland, already harbours mutations linked to human adaptation.

conclusionWe introduce an alternative, efficient workflow for ancient RNA recovery from formalin-fixed wet specimens. We also present the first precisely dated and complete influenza genome from Europe, highlighting the early occurrence of mutations associated with adaptation to humans during the first European wave of the 1918 pandemic.

Indexed as

Genome, ViralHost AdaptationInfluenza A virusInfluenza, HumanInfluenza Pandemic, 1918-1919PandemicsHistory, 20th CenturyHumansRNA, ViralSwitzerlandRNA, Viral1918 flu pandemicAncient RNAAncient RNA method comparisonInfluenza A virus

Identifiers

PMID40597331
PMCPMC12211374

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.