About: Global patterns in coronavirus diversity

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Global patterns in coronavirus diversity
Creator	Daszak, Peter Goldstein, Tracey Wolfe, Nathan Che, Xiaoyu Karesh, William Kramer, Sarah Wells, Heather Anthony, Simon Joly, Damien Mazet, Jonna Hicks, Allison Johnson, Christine Lipkin, W Morse, Stephen Greig, Denise Consortium, Predict
Source	Medline; PMC
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.
has issue date	2017-06-12(xsd:dateTime)
bibo:doi	10.1093/ve/vex012
bibo:pmid	28630747
has license	cc-by-nc
sha1sum (hex)	ee254e8dd94c816c9b5cd80c56b4b7e07eb5aa03
schema:url	https://doi.org/10.1093/ve/vex012
resource representing a document's title	Global patterns in coronavirus diversity
has PubMed Central identifier	PMC5467638
has PubMed identifier	28630747
schema:publication	Virus Evol
resource representing a document's body	covid:ee254e8dd94c816c9b5cd80c56b4b7e07eb5aa03#body_text
is schema:about of	named entity 'CORONAVIRUS' named entity 'DIVERSITY' named entity 'CLEAR' named entity 'ADDRESSES' named entity 'EMERGENCE' named entity 'ONE OF' named entity 'FOUND' named entity 'CORONAVIRUS' named entity 'WHERE' named entity 'CURRENT' named entity 'RATHER' named entity '100' named entity 'MODEL' named entity 'REMAINING' named entity 'BAT' named entity 'NINETY' named entity 'PUBLIC HEALTH' named entity 'USED' named entity 'VIRAL' named entity 'DYNAMICS' named entity 'ZOONOTIC' named entity 'STUDY' named entity 'COVS' named entity 'believed' named entity 'bats' named entity 'Our' named entity 'major' named entity 'diseases' named entity 'agricultural' named entity 'host' named entity 'CRITICAL' named entity 'SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS' named entity 'RESEARCH' named entity 'RESERVOIRS' named entity 'LARGELY' named entity 'EVOLUTION' named entity 'BIASED' named entity 'MAJOR' named entity 'PATHOGENS' named entity 'DRIVERS' named entity 'SEQUENCES' named entity 'RESOURCE' named entity 'ASSOCIATED WITH' named entity 'GLOBAL' named entity 'TAXA' named entity 'EMERGENT' named entity 'VARIATION' named entity 'IMPORTANT' named entity 'CEMENTS' named entity 'CONSIST' named entity 'DISCRETE' named entity 'BATS' named entity 'INDICATING' named entity 'AGRICULTURAL' named entity 'GLOBAL SCALE' named entity 'ANALYSIS' named entity 'EFFORT' named entity 'DIVERSITY' named entity 'EXPLORING' named entity 'CLUSTERS' named entity 'OVERALL' named entity 'ECOLOGICAL' named entity 'PATTERNS' named entity 'POTENTIAL' named entity 'BIODIVERSITY' named entity 'EPIDEMIOLOGIC'

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