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Correlation of mRNA Expression and Protein Abundance Affected by Multiple Sequence Features Related to Translational Efficiency in Desulfovibrio vulgaris: A Quantitative Analysis
Open accessAbstract
The modest correlation between mRNA expression and protein abundance in large-scale data sets is explained in part by experimental challenges, such as technological limitations, and in part by fundamental biological factors in the transcription and translation processes. Among various factors affecting the mRNA–protein correlation, the roles of biological factors related to translation are poorly understood. In this study, using experimental mRNA expression and protein abundance data collected from Desulfovibrio vulgaris by DNA microarray and liquid chromatography coupled with tandem mass spectrometry (LC–MS/MS) proteomic analysis, we quantitatively examined the effects of several translational-efficiency-related sequence features on mRNA–protein correlation. Three classes of sequence features were investigated according to different translational stages: (i) initiation, Shine–Dalgarno sequences, start codon identity, and start codon context; (ii) elongation, codon usage and amino acid usage; and (iii) termination, stop codon identity and stop codon context. Surprisingly, although it is widely accepted that translation initiation is the rate-limiting step for translation, our results showed that the mRNA–protein correlation was affected the most by the features at elongation stages, i.e., codon usage and amino acid composition (5.3–15.7% and 5.8–11.9% of the total variation of mRNA–protein correlation, respectively), followed by stop codon context and the Shine–Dalgarno sequence (3.7–5.1% and 1.9–3.8%, respectively). Taken together, all sequence features contributed to 15.2–26.2% of the total variation of mRNA–protein correlation. This study provides the first comprehensive quantitative analysis of the mRNA–protein correlation in bacterial D. vulgaris and adds new insights into the relative importance of various sequence features in prokaryotic protein translation.
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Cites
Comparing protein abundance and mRNA expression levels on a genomic scale
Greenbaum, D. (2003) · Genome biology · doi:10.1186/gb-2003-4-9-117 · Cited by 1,692
Post-transcriptional expression regulation in the yeast Saccharomyces cerevisiae on a genomic scale
Beyer, A., Hollunder, J., Nasheuer, H.-P., & Wilhelm, T. (2004) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m400099-mcp200 · Cited by 248
Cited by
Correlation of mRNA and protein in complex biological samples
Maier, T., Güell, M., & Serrano, L. (2009) · FEBS Letters · doi:10.1016/j.febslet.2009.10.036 · Cited by 1,802
Global signatures of protein and mRNA expression levels
de Sousa Abreu, R., Penalva, L. O., Marcotte, E. M., & Vogel, C. (2009) · Molecular BioSystems · doi:10.1039/b908315d · Cited by 1,248
Vogel, C., de Sousa Abreu, R., Ko, D., Le, S., Shapiro, B. A., Burns, S. C., Sandhu, D., Boutz, D. R., Marcotte, E. M., & Penalva, L. O. (2010) · Molecular Systems Biology · doi:10.1038/msb.2010.59 · Cited by 608
Bervoets, I., & Charlier, D. (2019) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuz001 · Cited by 180
Protein abundances are more conserved than mRNA abundances across diverse taxa
Laurent, J. M., Vogel, C., Kwon, T., Craig, S. A., Boutz, D. R., Huse, H. K., Nozue, K., Walia, H., Whiteley, M., Ronald, P. C., et al. (2010) · PROTEOMICS · doi:10.1002/pmic.201000327 · Cited by 156
Metadata
- Authors
- Nie, L., Wu, G., & Zhang, W.
- Venue
- Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-12-01
- Volume
- 174
- Issue
- 4
- Pages
- 2229-2243
- ISSN
- 0016-6731 (ISSN-L)
- 1943-2631
- OpenAlex
- W2100762672
- Cited by
- 245
- References
- 2
- FWCI
- 5.65
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Nie, L., Wu, G., & Zhang, W. (2006). Correlation of mRNA Expression and Protein Abundance Affected by Multiple Sequence Features Related to Translational Efficiency in Desulfovibrio vulgaris: A Quantitative Analysis. Genetics. https://doi.org/10.1534/genetics.106.065862
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