Abstract 1776 Machine learning-based classification reveals distinct clusters of non-coding genomic allelic variations associated with Erm-mediated antibiotic resistance
The erythromycin resistance RNA methyltransferase (erm) confers cross-resistance to all therapeutically important macrolides, lincosamides, and streptogramins (MLS phenotype). The expression of erm is often induced by the macrolide-mediated ribosome stalling in the upstream co-transcribed leader sequence, thereby triggering a conformational switch of the intergenic RNA hairpins to allow the translational initiation of erm. We investigated the evolutionary emergence of the upstream erm regulatory elements and the impact of allelic variation on erm expression and the MLS phenotype.
Authors
- Alexandre Le Scornet (ORCID: https://orcid.org/0000-0002-7572-077X)
- Yongjun Tan (ORCID: https://orcid.org/0009-0006-2361-1498)
- Mee‐Ngan F. Yap (ORCID: https://orcid.org/0000-0003-4213-4050)
- Dapeng Zhang (ORCID: https://orcid.org/0000-0001-8535-7620)
Institutions
- University of Connecticut (US)
Publication Details
- Journal
- Journal of Biological Chemistry
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1016/j.jbc.2025.108974
- Primary Topic
- Mycobacterium research and diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health