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. 2005 Dec;1(7):e72.
doi: 10.1371/journal.pcbi.0010072. Epub 2005 Dec 9.

Folding free energies of 5'-UTRs impact post-transcriptional regulation on a genomic scale in yeast

Affiliations

Folding free energies of 5'-UTRs impact post-transcriptional regulation on a genomic scale in yeast

Markus Ringnér et al. PLoS Comput Biol. 2005 Dec.

Abstract

Using high-throughput technologies, abundances and other features of genes and proteins have been measured on a genome-wide scale in Saccharomyces cerevisiae. In contrast, secondary structure in 5'-untranslated regions (UTRs) of mRNA has only been investigated for a limited number of genes. Here, the aim is to study genome-wide regulatory effects of mRNA 5'-UTR folding free energies. We performed computations of secondary structures in 5'-UTRs and their folding free energies for all verified genes in S. cerevisiae. We found significant correlations between folding free energies of 5'-UTRs and various transcript features measured in genome-wide studies of yeast. In particular, mRNAs with weakly folded 5'-UTRs have higher translation rates, higher abundances of the corresponding proteins, longer half-lives, and higher numbers of transcripts, and are upregulated after heat shock. Furthermore, 5'-UTRs have significantly higher folding free energies than other genomic regions and randomized sequences. We also found a positive correlation between transcript half-life and ribosome occupancy that is more pronounced for short-lived transcripts, which supports a picture of competition between translation and degradation. Among the genes with strongly folded 5'-UTRs, there is a huge overrepresentation of uncharacterized open reading frames. Based on our analysis, we conclude that (i) there is a widespread bias for 5'-UTRs to be weakly folded, (ii) folding free energies of 5'-UTRs are correlated with mRNA translation and turnover on a genomic scale, and (iii) transcripts with strongly folded 5'-UTRs are often rare and hard to find experimentally.

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Conflict of interest statement

Competing interests. The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Structure of Yeast mRNA
(A) The mRNA has a tripartite structure consisting of a 5′-UTR, a coding region, and a 3′-UTR. CRE, cis-acting regulatory element; m7G, 7-methyl-guanosine cap; SS, secondary structure. (B) The computed minimum free energy secondary structure for the 5′-UTR of the gene YBR296C-A.
Figure 2
Figure 2. Folding Free Energies of 5′-UTRs
(A) Cumulative distributions of folding free energies, ΔG, are shown for 5,888 ORFs for 5′-UTRs (50 nt upstream of the ORF; solid line), 3′-UTRs (50 nt downstream of the ORF; dashed-dotted line), coding sequences (50-nt sequences following downstream of the start codon of each ORF; dotted line), and 5,888 sequences of length 50 nt selected randomly from intergenic regions (dashed line). (B) Distribution of Z-scores for 5′-UTRs of 5,888 ORFs. Each 5′-UTR sequence was shuffled 100 times and a Z-score was calculated for each to compare the folding free energy of the native sequence to the shuffled sequences. A histogram of these Z-scores is shown together with a standard normal distribution (dashed line).
Figure 3
Figure 3. Comparison between Ribosome Densities and Folding Free Energies of 5′-UTRs
(A) Scatter plot of mRNA ribosome density and folding free energy of the 5′-UTR (ΔG) for 5,888 ORFs. (B) ORFs were grouped based on the change in free energy (ΔG). For each energy group, the average ribosome density (±SEM) is shown. From left to right, the number of ORFs in each energy group used to calculate the average density was 573, 796, 1,214, 1,438, and 1,187.
Figure 4
Figure 4. Comparison between mRNA Half-Lives and Folding Free Energies of 5′-UTRs
(A) Scatter plot of mRNA half-life and folding free energy of the 5′-UTR (ΔG) for 5,888 ORFs. (B) ORFs were grouped based on the folding free energy (ΔG). For each energy group, the average mRNA half-life (±SEM) is shown. From left to right, the number of ORFs in each energy group used to calculate the average density was 467, 657, 982, 1,169, and 983.
Figure 5
Figure 5. Correlations between Decay and Translation Rates
Pearson correlations together with corresponding p-values are shown for mRNA half-life versus (A) ribosome density and (B) ribosome occupancy. ORFs were, depending on mRNA half-life, grouped into all ORFs, 1,058 slowly decaying ORFs with t 1/2 ≥ 33 min, and 1,013 fast decaying ORFs with t 1/2 ≤ 13 min.

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