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Barba-Aliaga M, Bernal V, Rong C, Volfbeyn ME, Zhang K, Zid BM, Alepuz P. eIF5A controls mitoprotein import by relieving ribosome stalling at TIM50 translocase mRNA. J Cell Biol 2024; 223:e202404094. [PMID: 39509053 PMCID: PMC11551009 DOI: 10.1083/jcb.202404094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 07/29/2024] [Accepted: 09/19/2024] [Indexed: 11/15/2024] Open
Abstract
Efficient import of nuclear-encoded proteins into mitochondria is crucial for proper mitochondrial function. The conserved translation factor eIF5A binds ribosomes, alleviating stalling at polyproline-encoding sequences. eIF5A impacts mitochondrial function across species, though the precise molecular mechanism is unclear. We found that eIF5A depletion in yeast reduces the translation and levels of the TCA cycle and oxidative phosphorylation proteins. Loss of eIF5A causes mitoprotein precursors to accumulate in the cytosol and triggers a mitochondrial import stress response. We identify an essential polyproline protein as a direct target of eIF5A: the mitochondrial inner membrane protein and translocase component Tim50. Thus, eIF5A controls mitochondrial protein import by alleviating ribosome stalling along Tim50 mRNA at the mitochondrial surface. Removal of polyprolines from Tim50 partially rescues the mitochondrial import stress response and translation of oxidative phosphorylation genes. Overall, our findings elucidate how eIF5A impacts the mitochondrial function by promoting efficient translation and reducing ribosome stalling of co-translationally imported proteins, thereby positively impacting the mitochondrial import process.
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Affiliation(s)
- Marina Barba-Aliaga
- Instituto de Biotecnología y Biomedicina (Biotecmed), Universitat de València, València, Spain
- Departamento de Bioquímica y Biología Molecular, Facultad de Ciencias Biológicas, Universitat de València, València, Spain
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, USA
| | - Vanessa Bernal
- Instituto de Biotecnología y Biomedicina (Biotecmed), Universitat de València, València, Spain
- Departamento de Bioquímica y Biología Molecular, Facultad de Ciencias Biológicas, Universitat de València, València, Spain
| | - Cynthia Rong
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, USA
| | - Madeleine E. Volfbeyn
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, USA
| | - Keguang Zhang
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, USA
| | - Brian M. Zid
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, USA
| | - Paula Alepuz
- Instituto de Biotecnología y Biomedicina (Biotecmed), Universitat de València, València, Spain
- Departamento de Bioquímica y Biología Molecular, Facultad de Ciencias Biológicas, Universitat de València, València, Spain
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Lyons EF, Devanneaux LC, Muller RY, Freitas AV, Meacham ZA, McSharry MV, Trinh VN, Rogers AJ, Ingolia NT, Lareau LF. Translation elongation as a rate limiting step of protein production. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.11.27.568910. [PMID: 38076849 PMCID: PMC10705293 DOI: 10.1101/2023.11.27.568910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
The impact of synonymous codon choice on protein output has important implications for understanding endogenous gene expression and design of synthetic mRNAs. Synonymous codons are decoded at different speeds, but simple models predict that this should not drive protein output. Instead, translation initiation should be the rate limiting step for production of protein per mRNA, with little impact of codon choice. Previously, we used a neural network model to design a series of synonymous fluorescent reporters and showed that their protein output in yeast spanned a seven-fold range corresponding to their predicted translation elongation speed. Here, we show that this effect is not due primarily to the established impact of slow elongation on mRNA stability, but rather, that slow elongation further decreases the number of proteins made per mRNA. We combine simulations and careful experiments on fluorescent reporters to show that translation is limited on non-optimally encoded transcripts. Using a genome-wide CRISPRi screen, we find that impairing translation initiation attenuates the impact of slow elongation, showing a dynamic balance between rate limiting steps of protein production. Our results show that codon choice can directly limit protein production across the full range of endogenous variability in codon usage.
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Affiliation(s)
- Elijah F Lyons
- Department of Molecular and Cell Biology, University of California, Berkeley, California
| | - Lou C Devanneaux
- Department of Molecular and Cell Biology, University of California, Berkeley, California
| | - Ryan Y Muller
- Department of Molecular and Cell Biology, University of California, Berkeley, California
| | - Anna V Freitas
- Department of Molecular and Cell Biology, University of California, Berkeley, California
| | - Zuriah A Meacham
- Department of Molecular and Cell Biology, University of California, Berkeley, California
| | - Maria V McSharry
- Department of Molecular and Cell Biology, University of California, Berkeley, California
| | - Van N Trinh
- Department of Bioengineering, University of California, Berkeley, California
| | - Anna J Rogers
- Department of Molecular and Cell Biology, University of California, Berkeley, California
| | - Nicholas T Ingolia
- Department of Molecular and Cell Biology, University of California, Berkeley, California
| | - Liana F Lareau
- Department of Molecular and Cell Biology, University of California, Berkeley, California
- Department of Bioengineering, University of California, Berkeley, California
- Chan Zuckerberg Biohub, San Francisco, California
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