The Phylogeography of MERS-CoV in Hospital Outbreak-Associated Cases Compared to Sporadic Cases in Saudi Arabia.
- Publisher:
- MDPI
- Publication Type:
- Journal Article
- Citation:
- Viruses, 2020, 12, (5)
- Issue Date:
- 2020-05-14
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Chen, X | |
dc.contributor.author | Adam, DC | |
dc.contributor.author | Chughtai, AA | |
dc.contributor.author |
Stelzer-Braid, S https://orcid.org/0000-0001-6037-9305 |
|
dc.contributor.author | Scotch, M | |
dc.contributor.author | MacIntyre, CR | |
dc.date.accessioned | 2020-11-27T03:30:21Z | |
dc.date.available | 2020-05-12 | |
dc.date.available | 2020-11-27T03:30:21Z | |
dc.date.issued | 2020-05-14 | |
dc.identifier.citation | Viruses, 2020, 12, (5) | |
dc.identifier.issn | 1999-4915 | |
dc.identifier.issn | 1999-4915 | |
dc.identifier.uri | http://hdl.handle.net/10453/144408 | |
dc.description.abstract | This study compared the phylogeography of MERS-CoV between hospital outbreak-associated cases and sporadic cases in Saudi Arabia. We collected complete genome sequences from human samples in Saudi Arabia and data on the multiple risk factors of human MERS-CoV in Saudi Arabia reported from 2012 to 2018. By matching each sequence to human cases, we identified isolates as hospital outbreak-associated cases or sporadic cases. We used Bayesian phylogenetic methods including temporal, discrete trait analysis and phylogeography to uncover transmission routes of MERS-CoV isolates between hospital outbreaks and sporadic cases. Of the 120 sequences collected between 19 June 2012 and 23 January 2017, there were 64 isolates from hospital outbreak-associated cases and 56 from sporadic cases. Overall, MERS-CoV is fast evolving at 7.43 × 10-4 substitutions per site per year. Isolates from hospital outbreaks showed unusually fast evolutionary speed in a shorter time-frame than sporadic cases. Multiple introductions of different MERS-CoV strains occurred in three separate hospital outbreaks. MERS-CoV appears to be mutating in humans. The impact of mutations on viruses transmissibility in humans is unknown. | |
dc.format | Electronic | |
dc.language | eng | |
dc.publisher | MDPI | |
dc.relation.ispartof | Viruses | |
dc.relation.isbasedon | 10.3390/v12050540 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | 0605 Microbiology | |
dc.subject.mesh | Animals | |
dc.subject.mesh | Chiroptera | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Community-Acquired Infections | |
dc.subject.mesh | Cross Infection | |
dc.subject.mesh | Coronavirus Infections | |
dc.subject.mesh | Disease Outbreaks | |
dc.subject.mesh | Disease Reservoirs | |
dc.subject.mesh | Mutation | |
dc.subject.mesh | Genome, Viral | |
dc.subject.mesh | Saudi Arabia | |
dc.subject.mesh | Phylogeography | |
dc.subject.mesh | Mutation Rate | |
dc.subject.mesh | Middle East Respiratory Syndrome Coronavirus | |
dc.subject.mesh | Camelus | |
dc.subject.mesh | Animals | |
dc.subject.mesh | Chiroptera | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Community-Acquired Infections | |
dc.subject.mesh | Cross Infection | |
dc.subject.mesh | Coronavirus Infections | |
dc.subject.mesh | Disease Outbreaks | |
dc.subject.mesh | Disease Reservoirs | |
dc.subject.mesh | Mutation | |
dc.subject.mesh | Genome, Viral | |
dc.subject.mesh | Saudi Arabia | |
dc.subject.mesh | Phylogeography | |
dc.subject.mesh | Mutation Rate | |
dc.subject.mesh | Middle East Respiratory Syndrome Coronavirus | |
dc.subject.mesh | Camelus | |
dc.subject.mesh | Animals | |
dc.subject.mesh | Camelus | |
dc.subject.mesh | Chiroptera | |
dc.subject.mesh | Community-Acquired Infections | |
dc.subject.mesh | Coronavirus Infections | |
dc.subject.mesh | Cross Infection | |
dc.subject.mesh | Disease Outbreaks | |
dc.subject.mesh | Disease Reservoirs | |
dc.subject.mesh | Genome, Viral | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Middle East Respiratory Syndrome Coronavirus | |
dc.subject.mesh | Mutation | |
dc.subject.mesh | Mutation Rate | |
dc.subject.mesh | Phylogeography | |
dc.subject.mesh | Saudi Arabia | |
dc.title | The Phylogeography of MERS-CoV in Hospital Outbreak-Associated Cases Compared to Sporadic Cases in Saudi Arabia. | |
dc.type | Journal Article | |
utslib.citation.volume | 12 | |
utslib.location.activity | Switzerland | |
utslib.for | 0605 Microbiology | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Science | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Science/School of Life Sciences | |
pubs.organisational-group | /University of Technology Sydney | |
utslib.copyright.status | open_access | * |
pubs.consider-herdc | false | |
dc.date.updated | 2020-11-27T03:30:10Z | |
pubs.issue | 5 | |
pubs.publication-status | Published | |
pubs.volume | 12 | |
utslib.citation.issue | 5 |
Abstract:
This study compared the phylogeography of MERS-CoV between hospital outbreak-associated cases and sporadic cases in Saudi Arabia. We collected complete genome sequences from human samples in Saudi Arabia and data on the multiple risk factors of human MERS-CoV in Saudi Arabia reported from 2012 to 2018. By matching each sequence to human cases, we identified isolates as hospital outbreak-associated cases or sporadic cases. We used Bayesian phylogenetic methods including temporal, discrete trait analysis and phylogeography to uncover transmission routes of MERS-CoV isolates between hospital outbreaks and sporadic cases. Of the 120 sequences collected between 19 June 2012 and 23 January 2017, there were 64 isolates from hospital outbreak-associated cases and 56 from sporadic cases. Overall, MERS-CoV is fast evolving at 7.43 × 10-4 substitutions per site per year. Isolates from hospital outbreaks showed unusually fast evolutionary speed in a shorter time-frame than sporadic cases. Multiple introductions of different MERS-CoV strains occurred in three separate hospital outbreaks. MERS-CoV appears to be mutating in humans. The impact of mutations on viruses transmissibility in humans is unknown.
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