| Title |
Avoidance of stochastic RNA interactions can be harnessed to control protein expression levels in bacteria and archaea
|
|---|---|
| Published in |
eLife, September 2016
|
| DOI | 10.7554/elife.13479 |
| Pubmed ID | |
| Authors | |
| Abstract |
A critical assumption of gene expression analysis is that mRNA abundances broadly correlate with protein abundance, but these two are often imperfectly correlated. Some of the discrepancy can be accounted for by two important mRNA features: codon usage and mRNA secondary structure. We present a new global factor, called mRNA:ncRNA avoidance, and provide evidence that avoidance increases translational efficiency. We also demonstrate a strong selection for the avoidance of stochastic mRNA:ncRNA interactions across prokaryotes, and that these have a greater impact on protein abundance than mRNA structure or codon usage. By generating synonymously variant green fluorescent protein (GFP) mRNAs with different potential for mRNA:ncRNA interactions, we demonstrate that GFP levels correlate well with interaction avoidance. Therefore, taking stochastic mRNA:ncRNA interactions into account enables precise modulation of protein abundance. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 27% |
| United Kingdom | 4 | 18% |
| New Zealand | 4 | 18% |
| Switzerland | 1 | 5% |
| France | 1 | 5% |
| Norway | 1 | 5% |
| Unknown | 5 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 55% |
| Members of the public | 8 | 36% |
| Science communicators (journalists, bloggers, editors) | 2 | 9% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 65 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 36% |
| Student > Master | 12 | 18% |
| Researcher | 11 | 16% |
| Professor | 4 | 6% |
| Other | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 30 | 45% |
| Agricultural and Biological Sciences | 23 | 34% |
| Mathematics | 1 | 1% |
| Immunology and Microbiology | 1 | 1% |
| Physics and Astronomy | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 10 | 15% |