Genome-wide mapping of 5-methylcytosine motifs in 272 MERS-CoV genomes

This dataset provides the comprehensive computational atlas of 5-methylcytosine (m5C) motifs across 272 global MERS-CoV genomes. It catalogs 626,926 putative m5C sites spanning three sequence contexts such as CG (193,441), CCA (104,475), and ACW (329,010) mapped to genomic features including ORF1ab, Spike (S), Nucleocapsid (N), and accessory genes. The data reveal strong enrichment in ORF1ab (70% of all motifs), suggesting a role for m5C in regulating viral replication machinery. Included are per-genome motif positions, summary statistics, and analysis-ready CSV files. This resource enables epitranscriptomic studies of MERS-CoV evolution and host-virus RNA modification interplay. This dataset is part of larger study on MERS-CoV Evolution and possible zoonotic transferability analytics and predictions. Data processed and curation by [email protected]

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-23
DOI
https://doi.org/10.5281/zenodo.17425295
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
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article

Genome-wide mapping of 5-methylcytosine motifs in 272 MERS-CoV genomes

Zenodo (CERN European Organization for Nuclear Research)
RNA modifications and cancer
article

Genome-wide mapping of 5-methylcytosine motifs in 272 MERS-CoV genomes

article en

Abstract

This dataset provides the comprehensive computational atlas of 5-methylcytosine (m5C) motifs across 272 global MERS-CoV genomes. It catalogs 626,926 putative m5C sites spanning three sequence contexts such as CG (193,441), CCA (104,475), and ACW (329,010) mapped to genomic features including ORF1ab, Spike (S), Nucleocapsid (N), and accessory genes. The data reveal strong enrichment in ORF1ab (70% of all motifs), suggesting a role for m5C in regulating viral replication machinery. Included are per-genome motif positions, summary statistics, and analysis-ready CSV files. This resource enables epitranscriptomic studies of MERS-CoV evolution and host-virus RNA modification interplay. This dataset is part of larger study on MERS-CoV Evolution and possible zoonotic transferability analytics and predictions. Data processed and curation by [email protected]

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 44%
RNA modifications and cancer
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