Dataset Information

Intergenic ORFs as elementary structural modules of de novo gene birth and protein evolution

ABSTRACT: The noncoding genome plays an important role in de novo gene birth and the emergence of genetic novelty. Nevertheless, how the properties of noncoding sequences could promote the birth of novel genes and shape the structural diversity and evolution of proteins remains unclear. Here, we investigated the potential of the noncoding genome of yeast to produce novel protein bricks that can give rise to novel genes or be integrated in pre-existing proteins, thus participating in protein structure evolution and diversity. Combining different bioinformatics approaches, we showed that intergenic ORFs of yeast encompass the large structural diversity of canonical proteins with the majority encoding peptides predicted as foldable. Then, we investigated the early stages of de novo gene birth with Ribosome Profiling and systematic reconstruction of yeast de novo gene ancestral sequences. We highlighted sequence and structural factors determining de novo gene birth and protein evolution. Finally, we showed a strong correlation between the fold potential of de novo genes and their ancestral ORFs reflecting the relationship between the noncoding genome and the protein structure universe.

ORGANISM(S): Saccharomyces cerevisiae

PROVIDER: GSE173861 | GEO | 2021/09/13

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:One of the central goals of evolutionary biology is to explain and predict the molecular basis of adaptive evolution. We studied the evolution of genetic networks in Saccharomyces cerevisiae (budding yeast) populations propagated for more than 200 generations in different nitrogen-limiting conditions. We find that rapid adaptive evolution in nitrogen-poor environments is dominated by the de novo generation and selection of copy number variants (CNVs), a large fraction of which contain genes encoding specific nitrogen transporters including PUT4, DUR3 and DAL4. The large fitness increases associated with these alleles limits the genetic heterogeneity of adapting populations even in environments with multiple nitrogen sources. Complete identification of acquired point mutations, in individual lineages and entire populations, identified heterogeneity at the level of genetic loci but common themes at the level of functional modules, including genes controlling phosphatidylinositol-3-phosphate metabolism and vacuole biogenesis. Adaptive strategies shared with other nutrient-limited environments point to selection of genetic variation in the TORC1 and Ras/PKA signaling pathways as a general mechanism underlying improved growth in nutrient-limited environments. Within a single population we observed the repeated independent selection of a multi-locus genotype, comprised of the functionally related genes GAT1, MEP2 and LST4. By studying the fitness of individual alleles, and their combination, as well as the evolutionary history of the evolving population, we find that the order in which these mutations are acquired is constrained by epistasis. The identification of repeatedly selected variation at functionally related loci that interact epistatically suggests that gene network polymorphisms (GNPs) may be a frequent outcome of adaptive evolution. Our results provide insight into the mechanistic basis by which cells adapt to nutrient-limited environments and suggest that knowledge of the selective environment and the regulatory mechanisms important for growth and survival in that environment greatly increases the predictability of adaptive evolution. mRNA from each evolved clone or from the ancestral strain growing in the specificied nitrogen-limited condition was co-hybridized with mRNA from the ancestral strain grown in ammonium limited media

Dataset Information

Intergenic ORFs as elementary structural modules of de novo gene birth and protein evolution

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure