ArticleVirus evolution2024
The coevolutionary mosaic of bat betacoronavirus emergence risk.
Article in Virus evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Leptospira in Brazilian Bats (Mammalia: Chiroptera): A Systematic Review.Veterinary medicine and science · 2025Pooled it
- COVID-19 vaccination induces cross-neutralisation of sarbecoviruses related to SARS-CoV-2.NPJ vaccines · 2026Article
- Detection and complete genome characterisation of bat coronaviruses from Ghana.Archives of virology · 2026Article
- Exon Targeted Retrieval and Classification Toolbox (ExTRaCT): a gene search pipeline to find APOBEC3 Z-domains in novel bat genomes.bioRxiv : the preprint server for biology · 2026Article
- Viral emergence and pandemic preparedness in a One Health framework.Nature reviews. Microbiology · 2026Review
- Adaptive Evolution-Inspired Algorithm for Intrusion Detection in Bioinformatics Systems.Evolutionary bioinformatics online · 2026Article
- 229E- and NL63-like coronaviruses in phyllostomid bats, Belize.One health (Amsterdam, Netherlands) · 2025Article
- Viral epidemic potential is not uniformly distributed across the bat phylogeny.Communications biology · 2025Article
- Upscaling effects on infectious disease emergence risk emphasize the need for local planning in primary prevention within biodiversity hotspots.Scientific reports · 2025Article
- Diverse hosts, diverse immune systems: Evolutionary variation in bat immunology.Annals of the New York Academy of Sciences · 2025Review
- The Batalogue: an overview of betacoronaviruses with future pandemic potential.FEMS microbiology reviews · 2025Review
- Towards a 'people and nature' paradigm for biodiversity and infectious disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Recombination across distant coronavirid species and genera is a rare event with distinct genomic features.Journal of virology · 2024Article
- Article
- Bioinformatics Insights on Viral Gene Expression Transactivation: From HIV-1 to SARS-CoV-2.International journal of molecular sciences · 2024Article
- Using drivers and transmission pathways to identify SARS-like coronavirus spillover risk hotspots.Nature communications · 2023Article
- Network embedding unveils the hidden interactions in the mammalian virome.Patterns (New York, N.Y.) · 2023Article
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Authors and funding
7 authors.
Funding
Abstract
Pathogen evolution is one of the least predictable components of disease emergence, particularly in nature. Here, building on principles established by the geographic mosaic theory of coevolution, we develop a quantitative, spatially explicit framework for mapping the evolutionary risk of viral emergence. Driven by interest in diseases like Severe Acute Respiratory Syndrome (SARS), Middle East Respiratory Syndrome (MERS), and Coronavirus disease 2019 (COVID-19), we examine the global biogeography of bat-origin betacoronaviruses, and find that coevolutionary principles suggest geographies of risk that are distinct from the hotspots and coldspots of host richness. Further, our framework helps explain patterns like a unique pool of merbecoviruses in the Neotropics, a recently discovered lineage of divergent nobecoviruses in Madagascar, and-most importantly-hotspots of diversification in southeast Asia, sub-Saharan Africa, and the Middle East that correspond to the site of previous zoonotic emergence events. Our framework may help identify hotspots of future risk that have also been previously overlooked, like West Africa and the Indian subcontinent, and may more broadly help researchers understand how host ecology shapes the evolution and diversity of pandemic threats.
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Registered trials
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.