bioRxivMicrobiologyPreprint
Widespread SARS-CoV-2 infection in free-ranging Neotropical bats suggests repeated human-to-bat spillback
Jorge I. Armijos RiveraiD, Gabriela Parra, Marlon Bravo-BonillaiD, María Gonzalez-Maldonado, Daniela Alejandra Román-CáceresiD, Adamary Vásquez-TituanaiD, Jessica ValdiviesoiD, Freddy Eliazar Tinoco TinocoiD, Alicia VillavicencioiD, Nikolay AguirreiD, Rodrigo CisnerosiD, Victor RomeroiD, Jimmy GarcésiD, Doménica de MoraiD, Alfredo BrunoiD, Ana Maria MorenoiD, Clara ToliniiD, Laura BavagnoliiD, Ludvik Marcus GomulskiiD, Francesca ScolariiD, Emmanuele CrespaniD
Abstract
Bats harbor exceptional coronavirus diversity and are considered ancestral sources of several human pathogens. As SARS-CoV-2 transitioned from pandemic emergence to global endemicity in humans, concern has shifted from wildlife-to-human spillover toward reverse zoonosis. However, infection of free-ranging bat populations under natural conditions has not previously been demonstrated. Here, we report widespread detection of SARS-CoV-2 RNA in wild Neotropical bats sampled across Andean and Amazonian ecosystems of Southern Ecuador. RT-qPCR screening of 126 individuals, representing nine taxa, detected SARS-CoV-2 RNA in 34.12% of bats across multiple sites. Partial to near-complete viral genomes recovered from five individuals showed >99% nucleotide identity to contemporary human SARS-CoV-2 lineages and clustered within multiple global phylogenetic clades. Mixed-effects modeling revealed pronounced species-level heterogeneity, a positive association between elevation and infection probability, and higher infection probability in females compared with males. The close phylogenetic affinity of bat-derived genomes to circulating human variants and their distribution across multiple lineages suggest repeated anthropogenic spillback rather than sustained bat-specific circulation. These results expand current understanding of the ecological footprint of the COVID-19 pandemic and highlight the importance of integrating wildlife surveillance into long-term One Health strategies for emerging infectious diseases.
- organism: multiple species
- research focus: host-pathogen & immune response
- approach: statistical model
- Citations
- 0
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