Biology subjects

Blevins, W. R.

Publications and source records attributed to Blevins, W. R..

3 recordsLinked to original sources

bioRxiv2026

Evolutionary emergence and preservation of microproteins encoded by upstream ORFs

The analysis of ribosome profiling (Ribo-Seq) data has provided evidence that many eukaryotic mRNAs contain translated upstream or downstream ORFs (uORFs/dORFs), but the biological significance of this translation activity remains, for the most part, unknown. One of the principal limitations has been the lack of Ribo-Seq data from several closely related species, precluding the identification of cases in which translation is phylogenetically conserved. Here, by combining Ribo-Seq data from 100 different experiments, we identify 2,332 translated uORFs and 1,008 translated dORFs in S. cerevisiae, which result in microproteins that tend to be highly hydrophobic or positively charged. To study their phylogenetic conservation, we have generated Nanopore direct RNA sequencing data, together with Ribo-Seq data, from six additional Saccharomyces species, spanning an evolutionary period of around 16 million years. We have identified 195 translated S. cerevisiae uORFs that are also translated in other Saccharomyces species; these uORFs are translated at levels comparable to the main coding sequence and display signatures of purifying selection at the level of the encoded microproteins. In contrast, dORFs are translated at very low levels and they are rarely conserved, suggesting much more limited microprotein functionalization. We have also discovered that uORF translation is associated with the formation of alternative transcript isoforms encompassing the region containing the uORFs but not the main protein coding sequence, implying that some microproteins can be produced independently of the main protein product. This work significantly advances our understanding of how initially pervasive uORF translation can result in new microproteins, providing many new candidates for further functional studies.

genomics↗

bioRxiv2019

Frequent birth of de novo genes in the compact yeast genome

Evidence has accumulated that some genes originate directly from previously non-genic sequences, or de novo, rather than by the duplication or fusion of existing genes. However, how de novo genes emerge and eventually become functional is largely unknown. Here we perform the first study on de novo genes that uses transcriptomics data from eleven different yeast species, all grown identically in both rich media and in oxidative stress conditions. The genomes of these species are densely-packed with functional elements, leaving little room for the co-option of genomic sequences into new transcribed loci. Despite this, we find that at least 213 transcripts (~5%) have arisen de novo in the past 20 million years of evolution of bakers yeast-or approximately 10 new transcripts every million years. Nearly half of the total newly expressed sequences are generated from regions in which both DNA strands are used as templates for transcription, explaining the apparent contradiction between the limited empty genomic space and high rate of de novo gene birth. In addition, we find that 40% of these de novo transcripts are actively translated and that at least a fraction of the encoded proteins are likely to be under purifying selection. This study shows that even in very highly compact genomes, de novo transcripts are continuously generated and can give rise to new functional protein-coding genes.

evolutionary biology↗

bioRxiv2018

Using ribosome profiling to quantify differences in protein expression: a case study in Saccharomyces cerevisiae oxidative stress conditions

Cells respond to changes in the environment by modifying the concentration of specific proteins. Paradoxically, the cellular response is usually examined by measuring variations in transcript abundance by high throughput RNA sequencing (RNA-Seq), instead of directly measuring protein concentrations. This happens because RNA-Seq-based methods provide better quantitative estimates, and more extensive gene coverage, than proteomics-based ones. However, variations in transcript abundance do not necessarily reflect changes in the corresponding protein abundance. How can we close this gap? Here we explore the use of ribosome profiling (Ribo-Seq) to perform differentially gene expression analysis in a relatively well-characterized system, oxidative stress in bakers yeast. Ribo-Seq is an RNA sequencing method that specifically targets ribosome-protected RNA fragments, and thus is expected to provide a more accurate view of changes at the protein level than classical RNA-Seq. We show that gene quantification by Ribo-Seq is indeed more highly correlated with protein abundance, as measured from mass spectrometry data, than quantification by RNA-Seq. The analysis indicates that, whereas a subset of genes involved in oxidation-reduction processes is detected by both types of data, the majority of the genes that happen to be significant in the RNA-Seq-based analysis are not significant in the Ribo-Seq analysis, suggesting that they do not result in protein level changes. The results illustrate the advantages of Ribo-Seq to make inferences about changes in protein abundance in comparison with RNA-Seq.

genomics↗