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Data from: Global patterns in coronavirus diversity

Citation

Anthony, Simon J. et al. (2019), Data from: Global patterns in coronavirus diversity, Dryad, Dataset, https://doi.org/10.5061/dryad.34db1gr

Abstract

We surveyed the diversity of Coronaviruses in multiple host taxa from twenty countries to explore the factors driving viral diversity at a global scale. We identified sequences representing 100 discrete phylogenetic clusters, ninety-one of which were found in bats, and used ecological and epidemiologic analyses to show that patterns of CoV diversity correlate with those of bat diversity. We examined factors associated with the host such as bat family, genus, age, sex, season sampled, and human impact at the sampling location. Co-phylogenetic reconciliation analysis was also used to show that host switching has contributed to CoV evolution, and a preliminary analysis suggests that regional variation exists in the dynamics of this process.

Usage Notes

Funding

National Science Foundation, Award: United States Agency for International Development (USAID) Emerging Pandemic Threats PREDICT project GHN-A-OO-09-00010-00

Location

Asia
Africa
Latin America