The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Operon mRNAs are organized into ORF-centric structures that predict translation efficiency
Open accessAbstract
Bacterial mRNAs are organized into operons consisting of discrete open reading frames (ORFs) in a single polycistronic mRNA. Individual ORFs on the mRNA are differentially translated, with rates varying as much as 100-fold. The signals controlling differential translation are poorly understood. Our genome-wide mRNA secondary structure analysis indicated that operonic mRNAs are comprised of ORF-wide units of secondary structure that vary across ORF boundaries such that adjacent ORFs on the same mRNA molecule are structurally distinct. ORF translation rate is strongly correlated with its mRNA structure in vivo, and correlation persists, albeit in a reduced form, with its structure when translation is inhibited and with that of in vitro refolded mRNA. These data suggest that intrinsic ORF mRNA structure encodes a rough blueprint for translation efficiency. This structure is then amplified by translation, in a self-reinforcing loop, to provide the structure that ultimately specifies the translation of each ORF.
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Cites
Construction of Escherichia coli K‐12 in‐frame, single‐gene knockout mutants: the Keio collection
Baba, T., Ara, T., Hasegawa, M., Takai, Y., Okumura, Y., Baba, M., Datsenko, K. A., Tomita, M., Wanner, B. L., & Mori, H. (2006) · Molecular Systems Biology · doi:10.1038/msb4100050 · Cited by 7,858
Sharp, P. M., & Li, W.-H. (1987) · Nucleic Acids Research · doi:10.1093/nar/15.3.1281 · Cited by 3,992
Genome-Wide Analysis in Vivo of Translation with Nucleotide Resolution Using Ribosome Profiling
Ingolia, N. T., Ghaemmaghami, S., Newman, J. R. S., & Weissman, J. S. (2009) · Science · doi:10.1126/science.1168978 · Cited by 3,853
Self-citationCoding-Sequence Determinants of Gene Expression in Escherichia coli
Kudla, G., Murray, A. W., Tollervey, D., & Plotkin, J. B. (2009) · Science · doi:10.1126/science.1170160 · Cited by 1,458
Codon Optimality Is a Major Determinant of mRNA Stability
Presnyak, V., Alhusaini, N., Chen, Y.-H., Martin, S., Morris, N., Kline, N., Olson, S., Weinberg, D., Baker, K. E., Graveley, B. R., et al. (2015) · Cell · doi:10.1016/j.cell.2015.02.029 · Cited by 1,078 · cited 2×
“Additionally, there is evidence that codon usage correlates with mRNA halflife in both eukaryotes and prokaryotes (Boël et al., 2016; Presnyak et al., 2015).”
In vivo genome-wide profiling of RNA secondary structure reveals novel regulatory features
Ding, Y., Tang, Y., Kwok, C. K., Zhang, Y., Bevilacqua, P. C., & Assmann, S. M. (2014) · Nature · doi:10.1038/nature12756 · Cited by 775
Self-citationTranslation efficiency is determined by both codon bias and folding energy
Tuller, T., Waldman, Y. Y., Kupiec, M., & Ruppin, E. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0909910107 · Cited by 584 · cited 8×
“tAI incorporates different efficiency weights of the wobble interactions between codons and anticodons, with wi is defined as the relative adaptiveness value of codon i of a gene (Tuller et al., 2010).”
InfluentialCauses and effects of N-terminal codon bias in bacterial genes
Goodman, D. B., Church, G. M., & Kosuri, S. (2013) · Science · doi:10.1126/science.1241934 · Cited by 573
Landscape and variation of RNA secondary structure across the human transcriptome
Wan, Y., Qu, K., Zhang, Q. C., Flynn, R. A., Manor, O., Ouyang, Z., Zhang, J., Spitale, R. C., Snyder, M. P., Segal, E., et al. (2014) · Nature · doi:10.1038/nature12946 · Cited by 555
Rate-Limiting Steps in Yeast Protein Translation
Shah, P., Ding, Y., Niemczyk, M., Kudla, G., & Plotkin, J. B. (2013) · Cell · doi:10.1016/j.cell.2013.05.049 · Cited by 463 · cited 2×
“, 1996), overexpressed transgenes are likely to perturb the balance between codon usage and tRNA abundance, creating a global translation defect (Shah et al., 2013).”
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Pervasive Regulatory Functions of mRNA Structure Revealed by High-Resolution SHAPE Probing
Mustoe, A. M., Busan, S., Rice, G. M., Hajdin, C. E., Peterson, B. K., Ruda, V. M., Kubica, N., Nutiu, R., Baryza, J. L., & Weeks, K. M. (2018) · Cell · doi:10.1016/j.cell.2018.02.034 · Cited by 258
Quantitative Control for Stoichiometric Protein Synthesis
Taggart, J. C., Lalanne, J.-B., & Li, G.-W. (2021) · Annual Review of Microbiology · doi:10.1146/annurev-micro-041921-012646 · Cited by 17
Self-citationSun, G., DeFelice, M. M., Gillies, T. E., Ahn-Horst, T. A., Andrews, C. J., Krummenacker, M., Karp, P. D., Morrison, J. H., & Covert, M. W. (2024) · Cell Systems · doi:10.1016/j.cels.2024.02.002 · Cited by 9
Metadata
- Authors
- Burkhardt, D. H., Rouskin, S., Zhang, Y., Li, G.-W., Weissman, J. S., & Gross, C. A.
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2017-01-31
- Volume
- 6
- ISSN
- 2050-084X (ISSN-L)
- OpenAlex
- W2583817197
- Cited by
- 163
- References
- 10
- FWCI
- 6.89
- Type
- journal article
- Language
- en
- Open access
- gold
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