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A framework for automated scalable designation of viral pathogen lineages from genomic data.

Authors :
McBroome J
de Bernardi Schneider A
Roemer C
Wolfinger MT
Hinrichs AS
O'Toole AN
Ruis C
Turakhia Y
Rambaut A
Corbett-Detig R
Source :
Nature microbiology [Nat Microbiol] 2024 Feb; Vol. 9 (2), pp. 550-560. Date of Electronic Publication: 2024 Feb 05.
Publication Year :
2024

Abstract

Pathogen lineage nomenclature systems are a key component of effective communication and collaboration for researchers and public health workers. Since February 2021, the Pango dynamic lineage nomenclature for SARS-CoV-2 has been sustained by crowdsourced lineage proposals as new isolates were sequenced. This approach is vulnerable to time-critical delays as well as regional and personal bias. Here we developed a simple heuristic approach for dividing phylogenetic trees into lineages, including the prioritization of key mutations or genes. Our implementation is efficient on extremely large phylogenetic trees consisting of millions of sequences and produces similar results to existing manually curated lineage designations when applied to SARS-CoV-2 and other viruses including chikungunya virus, Venezuelan equine encephalitis virus complex and Zika virus. This method offers a simple, automated and consistent approach to pathogen nomenclature that can assist researchers in developing and maintaining phylogeny-based classifications in the face of ever-increasing genomic datasets.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
2058-5276
Volume :
9
Issue :
2
Database :
MEDLINE
Journal :
Nature microbiology
Publication Type :
Academic Journal
Accession number :
38316930
Full Text :
https://doi.org/10.1038/s41564-023-01587-5