Identification of potential SARS‐CoV‐2 genomic regions representing hallmarks for adaptation to different hosts

The <i>k</i>-mer-based pipeline, namely the Pathogen Origin Recognition Tool using Enriched <i>K</i>-mers (PORT-EK) identifies genomic regions enriched in the respective hosts after the comparison of multi-genomes of isolates between different host species. The enriched <i>k</i>-mer counts, which may serve as a potential marker, enable the classification and prediction of the likelihood of the host species. Altogether, PORT-EK showcased its feasibility for identifying viral genomic regions over-represented in respective hosts, illuminating the different intrinsic tropisms of coronavirus host adaptation.

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Publication Details

Journal
iMetaOmics.
Published
2025-05-02
DOI
https://doi.org/10.1002/imo2.70019
Citations
1
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
1.40

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article

Identification of potential SARS‐CoV‐2 genomic regions representing hallmarks for adaptation to different hosts

Janusz Wiśniewski, Heng‐Chang Chen
1 citations
iMetaOmics.
SARS-CoV-2 and COVID-19 Research
1.40
article

Identification of potential SARS‐CoV‐2 genomic regions representing hallmarks for adaptation to different hosts

Janusz Wiśniewski, Heng‐Chang Chen
article en
1 citations

Abstract

The <i>k</i>-mer-based pipeline, namely the Pathogen Origin Recognition Tool using Enriched <i>K</i>-mers (PORT-EK) identifies genomic regions enriched in the respective hosts after the comparison of multi-genomes of isolates between different host species. The enriched <i>k</i>-mer counts, which may serve as a potential marker, enable the classification and prediction of the likelihood of the host species. Altogether, PORT-EK showcased its feasibility for identifying viral genomic regions over-represented in respective hosts, illuminating the different intrinsic tropisms of coronavirus host adaptation.

iMetaOmics.Vol. 2(2)
Warsaw University of Technology (PL), Łukasiewicz Research Network – PORT Polish Center for Technology Development (PL)
University of Toronto, Narodowe Centrum Nauki, University of Toronto Scarborough
Zero hunger
Openalex Percentile: Top 21%
SARS-CoV-2 and COVID-19 Research
1.40
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Identification of potential SARS‐CoV‐2 genomic regions representing hallmarks for adaptation to different hosts — Janusz Wiśniewski, Heng‐Chang Chen · iMetaOmics. (2025) | TGRS Research Map | TGRS