Messenger RNA degradation represents a critical step in the regulation of gene expression. While the major pathways and enzymes catalyzing mRNA turnover have been identified, accounting for disparate half-lives has been elusive. Recently, we have discovered that codon optimality is a major feature that contributes greatly to mRNA stability. Codon optimality is a term to describe the fact that tRNA levels are not the same in the cell. Thus is it predicted that each of the 61 codons is read by the ribosome at a slightly different rate. Codons whose tRNA levels are high are termed optimal codons, while codons whose tRNA levels are low are termed non-optimal codons. Genome-wide RNA decay analysis revealed that stable mRNAs are enriched in codons designated optimal, whereas unstable mRNAs contain predominantly non-optimal codons. Substitution of optimal codons with synonymous, non-optimal codons results in dramatic mRNA destabilization, while the converse substitution significantly increases stability. Further, we show that optimal codon content accounts for the similar stabilities observed in mRNAs encoding proteins with coordinated physiological function. We suggest that codon optimality impacts ribosome translocation, connecting the processes of translation elongation and decay. This work demonstrates that the degeneracy in the genetic code exists as a mechanism to finely tune levels of mRNAs, and ultimately, proteins through codon optimality. We will continue to investigate the influence of codon optimality on gene expression in this proposal.

Public Health Relevance

Importance to Human Health RNA communicates the genetic information found within DNA. In order for cells to function appropriately, signals communicated by RNA must be turned on and off. This grant focuses on how RNA signals are turned off. Failure to regulate RNA appropriately has devastating cellular consequences that can lead to cancer, neurological defects, and embryological malformations.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
7R01GM118018-04
Application #
10177318
Study Section
Molecular Genetics B Study Section (MGB)
Program Officer
Brown, Anissa F
Project Start
2017-08-01
Project End
2021-07-31
Budget Start
2020-08-01
Budget End
2021-07-31
Support Year
4
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Johns Hopkins University
Department
Biochemistry
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21205
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Burow, Dana A; Martin, Sophie; Quail, Jade F et al. (2018) Attenuated Codon Optimality Contributes to Neural-Specific mRNA Decay in Drosophila. Cell Rep 24:1704-1712
Webster, Michael W; Chen, Ying-Hsin; Stowell, James A W et al. (2018) mRNA Deadenylation Is Coupled to Translation Rates by the Differential Activities of Ccr4-Not Nucleases. Mol Cell 70:1089-1100.e8
Hanson, Gavin; Alhusaini, Najwa; Morris, Nathan et al. (2018) Translation elongation and mRNA stability are coupled through the ribosomal A-site. RNA 24:1377-1389