Striking lineage diversity of severe acute respiratory syndrome coronavirus 2 from non-human sources.

Clicks: 29
ID: 280758
2022
Due to the necessity to control human-to-human spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the overwhelming majority of the generated data on this virus was solely related to the genomic characteristics of strains infecting humans; conversely, this work aimed to recover and analyze the diversity of viral genomes from non-human sources. From a set of 3595 publicly available SARS-CoV-2 genome sequences, 128 lineages were identified in non-human hosts, the majority represented by the variants of concern Delta ( = 1105, 30.7%) and Alpha ( = 466, 12.9%), followed by B.1.1.298 lineage ( = 458, 12.7%). Environment, and were the non-human sources with the highest number of lineages (14, 12 and 10, respectively). Phylogenomic analyses showed viral clusters from environmental sources, , , , and . These clusters were collectively related to human viruses as well as all other non-human sources that were heterogeneously distributed in the phylogenetic tree. Further, the genetic details of viral genomes from bats and pangolins were independently investigated owing to their high divergence, revealing five distinct clusters. Cluster 4 exclusively included bat-sourced genomes and the SARS-CoV-2 reference strain Wuhan-01. In summary, this study identified new genetic landmarks of SARS-CoV-2 evolution. We propose potential interspecies transmission routes of SARS-CoV-2 between animals and humans, which should be considered in order to establish better pathogen surveillance and containment strategies.
Reference Key
muoz2022strikingone Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Muñoz, Marina;Patiño, Luz Helena;Ballesteros, Nathalia;Castañeda, Sergio;Luna, Nicolás;Delgado, Lourdes;Hernandez-Pereira, Carlos;Shaban, Maryia V;Muñoz, Shirly Alexandra;Paniz-Mondolfi, Alberto;Ramírez, Juan David;
Journal One health (Amsterdam, Netherlands)
Year 2022
DOI 100363
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.