Growth-dependent tRNA Reprogramming and Codon Bias Link Translation to Metabolic State in Enterococcus faecalis
Mitchener, M. M.; Anderson, C. M.; Veleba, M.; Teo, K.; Roch, M.; Chen, R.; Yuan, Y.; Han, I.; Dziergowska, A.; Pethe, K.; Begley, T. J.; Kline, K. A.; Dedon, P. C.
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Enterococcus faecalis is a Gram-positive commensal bacterium of the human gut microbiome and an opportunistic pathogen responsible for many hospital-acquired infections. Despite the clinical importance of E. faecalis, how gene and protein expression are coordinated with growth remains poorly defined. Here, we profiled transcript, protein, and tRNA pool dynamics across distinct phases of E. faecalis growth. Differences in protein abundance and corresponding mRNA levels suggested growth phase-dependent posttranscriptional regulation. Growth-associated genes exhibited biased synonymous codon usage, with ribosomal and glycolytic proteins enriched in low-abundance codons read by queuosine-modifiable tRNAs. Analysis of tRNA modification and tRNA isoacceptor abundance revealed growth phase-dependent changes, particularly in anticodon stem loop modifications that influence synonymous codon translation. Changes in queuosine levels preceded shifts in ribosomal proteins, suggesting a contribution to codon-biased translation. Collectively, these findings reveal growth phase-associated remodeling of the E. faecalis tRNA pool and support a model in which queuosine-dependent translational reprogramming shapes protein expression during bacterial growth. IMPORTANCEEnterococcus faecalis is a common cause of hospital-acquired infections. Despite its clinical importance, a comprehensive understanding of the organisms physiology and adaptation to environmental changes remains incomplete. Here, we characterized protein, transcript, and tRNA dynamics across bacterial growth phases, uncovering a role for post-transcriptional regulation marked by tRNA reprogramming and biased synonymous codon usage. These findings enhance our understanding of E. faecalis growth and support a model of translational reprogramming therein.
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