Petabase-scale sequence alignment catalyses viral discovery

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Edgar RC, Taylor J, Lin V, et al. Petabase-scale sequence alignment catalyses viral discovery [published online ahead of print, 2022 Jan 26]. Nature. 2022;10.1038/s41586-021-04332-2. doi:10.1038/s41586-021-04332-2

Recopilado por Carlos Cabrera Lozada. Miembro Correspondiente Nacional, ANM puesto 16. ORCID: 0000-0002-3133-5183. 27/01/2022

Abstract

Public databases contain a planetary collection of nucleic acid sequences, but their systematic exploration has been inhibited by a lack of efficient methods for searching this corpus, which (at the time of writing) exceeds 20 petabases and is growing exponentially1. Here we developed a cloud computing infrastructure, Serratus, to enable ultra-high-throughput sequence alignment at the petabase scale. We searched 5.7 million biologically diverse samples (10.2 petabases) for the hallmark gene RNA-dependent RNA polymerase and identified well over 105 novel RNA viruses, thereby expanding the number of known species by roughly an order of magnitude. We characterized novel viruses related to coronaviruses, hepatitis delta virus, and huge phages, respectively, and analyzed their environmental reservoirs. To catalyse the ongoing revolution of viral discovery, we established a free and comprehensive database of these data and tools. Expanding the known sequence diversity of viruses can reveal the evolutionary origins of emerging pathogens and improve pathogen surveillance for the anticipation and mitigation of future pandemics.

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Academia Nacional de Medicina