Global patterns in coronavirus diversity.

Simon J Anthony1,2,3 Christine K Johnson4 Denise J Greig4 Sarah Kramer1,5 Xiaoyu Che1 Heather Wells1 Allison L Hicks1 Damien O Joly6,7 Nathan D Wolfe6 Peter Daszak3 William Karesh3 W I Lipkin1,2 Stephen S Morse2 PREDICT Consortium Jonna A K Mazet4 Tracey Goldstein4
Affiliations 7 institutions
  1. Center for Infection and Immunity, Mailman School of Public Health, Columbia University, 722 West 168 Street, New York, NY 10032, USA.
  2. Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168 Street, New York, NY 10032, USA.
  3. EcoHealth Alliance, 460 West 34 Street, New York, NY 10001, USA.
  4. One Health Institute & Karen C Drayer Wildlife Health Center, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA.
  5. Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168 Street, New York, NY 10032, USA.
  6. Metabiota, Inc. One Sutter, Suite 600, San Francisco, CA 94104, USA.
  7. Wildlife Conservation Society, New York, NY 10460, USA.

Abstract

Since the emergence of Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) and Middle East Respiratory Syndrom Coronavirus (MERS-CoV) it has become increasingly clear that bats are important reservoirs of CoVs. Despite this, only 6% of all CoV sequences in GenBank are from bats. The remaining 94% largely consist of known pathogens of public health or agricultural significance, indicating that current research effort is heavily biased towards describing known diseases rather than the 'pre-emergent' diversity in bats. Our study addresses this critical gap, and focuses on resource poor countries where the risk of zoonotic emergence is believed to be highest. We surveyed the diversity of CoVs 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. This cements bats as the major evolutionary reservoirs and ecological drivers of CoV diversity. 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. Overall our study represents a model for exploring global viral diversity and advances our fundamental understanding of CoV biodiversity and the potential risk factors associated with zoonotic emergence.

Supporting text Virus Host Location
bat 54 coronavirus 195 evolution 62 viral ecology 4

Evidence records

3 total
Zoonotic Surveillance
2 records · 2 evidence types
Evidence type
1 records
OVE11541
Key finding

CoV sequences were detected in multiple host taxa from twenty countries, with ninety-one found in bats, indicating broad coronavirus diversity and bat reservoirs.

Virus
Host
Location
Supporting text

We surveyed the diversity of CoVs 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.

Method
molecular detection | sequence identification | phylogenetic clustering
Sample type
host-derived samples | survey specimens
Geographic raw
twenty countries
Evidence type
1 records
OVE11542
Key finding

Patterns of coronavirus diversity significantly correlate with bat diversity, supporting bats as major evolutionary reservoirs and ecological drivers of CoV diversity.

Virus
Host
Location
Not specified
Supporting text

We used ecological and epidemiologic analyses to show that patterns of CoV diversity correlate with those of bat diversity. This cements bats as the major evolutionary reservoirs and ecological drivers of CoV diversity.

Method
ecological analyses | epidemiologic analyses
Genomic Evolution
1 records · 1 evidence types
Evidence type
1 records
OVE11543
Key finding

Co-phylogenetic reconciliation analysis indicated that host switching has contributed to coronavirus evolutionary history, with regional variation in these dynamics.

Virus
Host
Not specified
Location
Not specified
Supporting text

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.

Analysis methods
Co-phylogenetic reconciliation analysis