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An Extensive Meta-Metagenomic Search Identifies SARS-CoV-2-Homologous Sequences in Pangolin Lung Viromes.
Wahba, Lamia; Jain, Nimit; Fire, Andrew Z; Shoura, Massa J; Artiles, Karen L; McCoy, Matthew J; Jeong, Dae-Eun.
  • Wahba L; Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.
  • Jain N; Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.
  • Fire AZ; Department of Genetics, Stanford University School of Medicine, Stanford, California, USA.
  • Shoura MJ; Department of Bioengineering, Stanford University, Stanford, California, USA.
  • Artiles KL; Department of Pathology, Stanford University School of Medicine, Stanford, California, USA afire@stanford.edu.
  • McCoy MJ; Department of Genetics, Stanford University School of Medicine, Stanford, California, USA.
  • Jeong DE; Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.
mSphere ; 5(3)2020 05 06.
Article in English | MEDLINE | ID: covidwho-186537
ABSTRACT
In numerous instances, tracking the biological significance of a nucleic acid sequence can be augmented through the identification of environmental niches in which the sequence of interest is present. Many metagenomic data sets are now available, with deep sequencing of samples from diverse biological niches. While any individual metagenomic data set can be readily queried using web-based tools, meta-searches through all such data sets are less accessible. In this brief communication, we demonstrate such a meta-metagenomic approach, examining close matches to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in all high-throughput sequencing data sets in the NCBI Sequence Read Archive accessible with the "virome" keyword. In addition to the homology to bat coronaviruses observed in descriptions of the SARS-CoV-2 sequence (F. Wu, S. Zhao, B. Yu, Y. M. Chen, et al., Nature 579265-269, 2020, https//doi.org/10.1038/s41586-020-2008-3; P. Zhou, X. L. Yang, X. G. Wang, B. Hu, et al., Nature 579270-273, 2020, https//doi.org/10.1038/s41586-020-2012-7), we note a strong homology to numerous sequence reads in metavirome data sets generated from the lungs of deceased pangolins reported by Liu et al. (P. Liu, W. Chen, and J. P. Chen, Viruses 11979, 2019, https//doi.org/10.3390/v11110979). While analysis of these reads indicates the presence of a similar viral sequence in pangolin lung, the similarity is not sufficient to either confirm or rule out a role for pangolins as an intermediate host in the recent emergence of SARS-CoV-2. In addition to the implications for SARS-CoV-2 emergence, this study illustrates the utility and limitations of meta-metagenomic search tools in effective and rapid characterization of potentially significant nucleic acid sequences.IMPORTANCE Meta-metagenomic searches allow for high-speed, low-cost identification of potentially significant biological niches for sequences of interest.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Coronavirus Infections / Metagenomics / Eutheria / Betacoronavirus / Lung Diseases Type of study: Reviews Limits: Animals Language: English Year: 2020 Document Type: Article Affiliation country: MSphere.00160-20

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Coronavirus Infections / Metagenomics / Eutheria / Betacoronavirus / Lung Diseases Type of study: Reviews Limits: Animals Language: English Year: 2020 Document Type: Article Affiliation country: MSphere.00160-20