Evidence map›Paper›PMID 42780858›Full record

ArticleVirus evolution2026

Reconstructing the molecular epidemiology of rabies in Switzerland from outbreak to elimination (1967-97).

Farzane Shams, Claudia Bachofen, Alex Popinga, Monika Hilbe, Michele Wyler, Torsten Seuberlich

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.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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

6 authors.

Farzane ShamsDivision of Neurological Sciences, Vetsuisse Faculty, University of Bern, Bremgartenstrasse 109A, CH-3012 Bern, Switzerland.
Claudia BachofenInstitute of Virology and Immunology, Sensemattstrasse 293,CH-3147 MittelhäusernMittelhäusern, Switzerland.
Alex PopingaSchool of Biomedical and Chemical Engineering, Colorado State University, 700 Meridian Ave, Fort Collins, Colorado, CO 80523, United States of America.
Monika HilbeInstitute of Veterinary Pathology, Vetsuisse Faculty, University of Zürich, Winterthurerstrasse 268, CH-8057 Zürich, Switzerland.
Michele WylerInstitute of Virology and Immunology, Sensemattstrasse 293,CH-3147 MittelhäusernMittelhäusern, Switzerland.ORCID https://orcid.org/0000-0003-1097-5322
Torsten SeuberlichDivision of Neurological Sciences, Vetsuisse Faculty, University of Bern, Bremgartenstrasse 109A, CH-3012 Bern, Switzerland.ORCID https://orcid.org/0000-0002-6800-5129

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rabies virus (RABV) is a lethal zoonotic pathogen that remains endemic in some parts of the world despite long-standing vaccination efforts. We present a comprehensive genomic and evolutionary analysis of the sylvatic rabies epidemic in Switzerland (1967-97) and propose a molecular epidemiological framework describing RABV dynamics from emergence to elimination, with relevance for countries pursuing wildlife rabies elimination. We generated almost whole-genome sequences from 88 RABV-positive brain samples collected across 17 Swiss cantons and 13 host species over three decades. Using Illumina sequencing, 76 genomes were recovered at high coverage, enabling robust single-nucleotide polymorphism (SNP) and molecular clock analyses. Phylogenetic reconstruction based on Swiss whole genomes and glycoprotein sequences including additional European strains identified three temporally structured RABV lineages-red (1967-76), blue (1976-88), and green (1984-96)-each consistent with independent introductions from neighbouring countries. Evolutionary analyses indicated a slow substitution rate and predominant purifying selection, with limited adaptive amino-acid change. However, four mutations emerged during the epidemiological peak, suggesting possible modest fitness effects. We found no evidence of major genomic changes associated with cross-species spillovers. Four synonymous variants were underrepresented in carnivore hosts; however, larger datasets may provide stronger evidence for host-associated genetic differences. Genetic divergence showed a strong temporal signal and moderate correlation with geographic distance, consistent with natural and vaccination-induced barriers limiting RABV dispersal, in agreement with the known ecology and control history of the epidemic. These findings provide a genomic framework for understanding sylvatic rabies emergence and elimination and may inform strategies to achieve and sustain the World Health Organization goal of zero human deaths from dog-mediated rabies.

Indexed as

epidemicevolutionrabiesSNPspillover

Identifiers

PMID42780858
PMCPMC13598893

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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.