Recovery of Deleted Deep Sequencing Data Sheds More Light on the Early Wuhan SARS-CoV-2 Epidemic.
Mol Biol Evol
; 38(12): 5211-5224, 2021 12 09.
Article
in English
| MEDLINE | ID: covidwho-1358468
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
ABSTRACT
The origin and early spread of SARS-CoV-2 remains shrouded in mystery. Here, I identify a data set containing SARS-CoV-2 sequences from early in the Wuhan epidemic that has been deleted from the NIH's Sequence Read Archive. I recover the deleted files from the Google Cloud and reconstruct partial sequences of 13 early epidemic viruses. Phylogenetic analysis of these sequences in the context of carefully annotated existing data further supports the idea that the Huanan Seafood Market sequences are not fully representative of the viruses in Wuhan early in the epidemic. Instead, the progenitor of currently known SARS-CoV-2 sequences likely contained three mutations relative to the market viruses that made it more similar to SARS-CoV-2's bat coronavirus relatives.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
High-Throughput Nucleotide Sequencing
/
SARS-CoV-2
/
COVID-19
Type of study:
Randomized controlled trials
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
Mol Biol Evol
Journal subject:
Molecular Biology
Year:
2021
Document Type:
Article
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