Authors
Jackson Emanuel, Jan Papies, Leonie Meiners, Talitha Veith, Victor M Corman, Tabea Binger, Erik Lattwein, Beate M Kümmerer, Susanne Zweerink, Kai Fechner, Florian Gloza-Rausch, Veronika Cottontail, Gaël D Maganga, Jonas Schmidt-Chanasit, Peter Vallo, Samuel K Oppong, Marco Tschapka, Chantal B E M Reusken, Rainer G Ulrich, Eric M Leroy, Jan Felix Drexler, Terry C Jones, Christian Drosten, Marcel A Müller
Published in
PLoS neglected tropical diseases. Volume 20. Issue 10. Pages e0013689. Oct 09, 2026. Epub Oct 09, 2026.
Abstract
Bats and rodents have been identified as reservoir hosts of diverse RNA viruses that pose potential risks to humans. However, overall virus prevalence in wildlife and underlying factors determining the zoonotic potential of reservoir-borne viruses remain poorly characterized. Virus detection often relies on the identification of viral nucleotide sequences and may therefore be limited by variable virus concentration, tissue tropism, sample quality, and duration of infection. In this study, we applied a multiplex immunofluorescence assay to examine bat and rodent seroprevalence against 14 different human pathogenic RNA viruses spanning seven virus families (Coronaviridae, Flaviviridae, Hantaviridae, Paramyxoviridae, Phenuiviridae, Pneumoviridae, Togaviridae). We retrospectively analyzed 1,135 bat (16 species) and 454 rodent (15 species) blood or transudate specimens collected at 63 sites in seven countries. The tropical bats in our dataset exhibited notably high rates of seropositivity against certain virus families (Flaviviridae: 42.7%; Paramyxoviridae: 67.7%; Togaviridae: 7.5%). Although confounding factors and sparse data continue to pose challenges to identifying correlates of RNA virus infection in wildlife, multivariable logistic regression models were created to provisionally evaluate the association of tropical bat characteristics with seropositivity. Preliminary findings indicate that large colony size, found among species such as Eidolon helvum and Rousettus aegyptiacus, is a predictor within this dataset of orthoflavi- and orthorubulavirus seroprevalence, consistent with the communal spread of bat-adapted viruses.
PMID:
42853873
Bibliographic data and abstract were imported from PubMed on 10 Oct 2026.
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