Codon optimality influences homeostatic gene expression in zebrafish

The ribosome plays a crucial role in translating mRNA into protein; however, the genetic code extends beyond merely specifying amino acids. Upon translation, codons, the three-nucleotide sequences interpreted by ribosomes, have regulatory properties affecting mRNA stability, a phenomenon known as codon optimality. Codon optimality has been previously observed in vertebrates during embryogenesis, where specific codons can influence the stability and degradation rates of mRNA transcripts. In our previous work, we demonstrated that codon optimality impacts mRNA stability in human cell lines. However, the extent to which codon content influences vertebrate gene expression in vivo remained unclear. In this study, we expand on our previous findings by demonstrating that codon optimality has a robust effect on homeostatic mRNA and protein levels in whole zebrafish during normal physiological conditions. Using reporters with nearly identical nucleotide sequences but different codon compositions, all expressed from the same genomic locus, we show that codon composition can significantly influence gene expression. This study provides new insights into the regulatory roles of codon usage in vertebrate gene expression and underscores the importance of considering codon optimality in genetic and translational research. These findings have broad implications for understanding the complexities of gene regulation and could inform the design of synthetic genes and therapeutic strategies targeting mRNA stability.

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Publication Details

Journal
G3 Genes Genomes Genetics
Published
2024-10-24
DOI
https://doi.org/10.1093/g3journal/jkae247
Citations
1
Primary Topic
RNA and protein synthesis mechanisms
Type
article
Field-Weighted Citation Impact
0.23

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article

Codon optimality influences homeostatic gene expression in zebrafish

Michelle Lynn DeVore, Ariel Bazzini
1 citations
G3 Genes Genomes Genetics
RNA and protein synthesis mechanisms
0.23
article

Codon optimality influences homeostatic gene expression in zebrafish

Michelle Lynn DeVore, Ariel Bazzini
article en
1 citations

Abstract

The ribosome plays a crucial role in translating mRNA into protein; however, the genetic code extends beyond merely specifying amino acids. Upon translation, codons, the three-nucleotide sequences interpreted by ribosomes, have regulatory properties affecting mRNA stability, a phenomenon known as codon optimality. Codon optimality has been previously observed in vertebrates during embryogenesis, where specific codons can influence the stability and degradation rates of mRNA transcripts. In our previous work, we demonstrated that codon optimality impacts mRNA stability in human cell lines. However, the extent to which codon content influences vertebrate gene expression in vivo remained unclear. In this study, we expand on our previous findings by demonstrating that codon optimality has a robust effect on homeostatic mRNA and protein levels in whole zebrafish during normal physiological conditions. Using reporters with nearly identical nucleotide sequences but different codon compositions, all expressed from the same genomic locus, we show that codon composition can significantly influence gene expression. This study provides new insights into the regulatory roles of codon usage in vertebrate gene expression and underscores the importance of considering codon optimality in genetic and translational research. These findings have broad implications for understanding the complexities of gene regulation and could inform the design of synthetic genes and therapeutic strategies targeting mRNA stability.

G3 Genes Genomes Genetics
Stowers Institute for Medical Research (US), University of Kansas Medical Center (US)
Stowers Institute for Medical Research, National Institutes of Health
Openalex Percentile: Top 42%
RNA and protein synthesis mechanisms
0.23
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Codon optimality influences homeostatic gene expression in zebrafish — Michelle Lynn DeVore, Ariel Bazzini · G3 Genes Genomes Genetics (2024) | TGRS Research Map | TGRS