Comparative transcriptomics and ribo-seq: Looking at de novo gene emergence in Saccharomycotina
- Published
- Accepted
- Subject Areas
- Bioinformatics, Evolutionary Studies, Genomics
- Keywords
- de novo, orphan gene, taxonomically restricted gene, TRG, ORFan, ribosome profiling, yeast, saccharomyces, RNA sequencing
- Copyright
- © 2017 Blevins et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. Comparative transcriptomics and ribo-seq: Looking at de novo gene emergence in Saccharomycotina. PeerJ Preprints 5:e3030v1 https://doi.org/10.7287/peerj.preprints.3030v1
Abstract
In de novo gene emergence, a segment of non-coding DNA undergoes a series of changes which enables transcription, potentially leading to a new protein that could eventually acquire a novel function. Due to their recent origins, young de novo genes have no homology with other genes. Furthermore, de novo genes may not initially be under the same selective constraints as other genes. Dozens of de novo genes have recently been identified in many diverse species; however, the mechanisms leading to their appearance are not yet well understood. To study this phenomenon, we have performed deep RNA sequencing (RNA-seq) on 11 species of yeast from the phylum of Ascomycota in both rich media and oxidative stress conditions. Furthermore, we performed ribosome profiling (Ribo-seq) experiments in both conditions with S. cerevisiae. These data have been used to classify the conservation of genes at different depths in the yeast phylogeny. Hundreds of genes in each species were novel (unannotated), and many were identified as putative de novo genes; these candidates were then tested for signals of translation using our Ribo-seq data. We show that putative de novo genes have different properties relative to phylogenetically conserved genes. This comparative phylotranscriptomic analysis advances our understanding of de novo gene origins.
Author Comment
Poster presentation for the Molecular innovation symposium of SMBE 2017.