Open adebali opened 4 years ago
The authors analyzed the SARS-CoV-2 genome sequences through phylogenomics. They assigned hierarchical clusters based on the phylogeny of the genomes.
What methods did they use? Multiple sequence alignment (MAFFT), phylogenetic tree construction with IQTREE2 with GTR+Γ model along with ultrafast bootstrapping with 1000 replicates.
Does this paper study COVID-19, SARS-CoV-2, or a related disease and/or virus? SARS-CoV-2
What is the main finding (or a few main takeaways)? A nomenclature proposal for universal lineage assignments based on phylogenetics.
What does this paper tell us about the background and/or diagnostics/therapeutics for COVID-19 / SARS-CoV-2?
Genome sequencing is routinely done in clinics to understand (i) the evolution, (ii) genetic diversity and (iii) transmission routes of the virus. This task is computationally challenging as it requires a massive amount of genomics work including multiple sequence alignment and phylogenetic tree generation. Rather than running long pipelines for each virus isolate, lineage assignment can be performed easily through a well-established web server and nomenclature agreed with the consensus. This paper proposes lineage nomenclature along with a web server that can be easily used by non-experts.
Further classifications (new lineages and sub-lineages) will possibly be needed in the future. How authors will manage the regular updates is not clear. Also, how the pangolin webserver quickly assigns lineages is unclear. There is no detail given regarding this methodology.
Pangolin is a useful tool that should be mentioned in this comprehensive review.
Title: A dynamic nomenclature proposal for SARS-CoV-2 to assist genomic epidemiology
General Information
Please paste a link to the paper or a citation here:
Link: https://www.biorxiv.org/content/10.1101/2020.04.17.046086v1
What is the paper's Manubot-style citation?
Citation: doi:10.1101/2020.04.17.046086
Is this paper primarily relevant to Background or Pathogenesis?
Please list some keywords (3-10) that help identify the relevance of this paper to COVID-19
Please note the publication / review status
Which areas of expertise are particularly relevant to the paper?