Transcriptome and translatome co-evolution in mammals.
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State: Public
Version: Author's accepted manuscript
License: Not specified
Serval ID
serval:BIB_2233C0F2B0FC
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Transcriptome and translatome co-evolution in mammals.
Journal
Nature
ISSN
1476-4687 (Electronic)
ISSN-L
0028-0836
Publication state
Published
Issued date
12/2020
Peer-reviewed
Oui
Volume
588
Number
7839
Pages
642-647
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Publication Status: ppublish
Abstract
Gene-expression programs define shared and species-specific phenotypes, but their evolution remains largely uncharacterized beyond the transcriptome layer <sup>1</sup> . Here we report an analysis of the co-evolution of translatomes and transcriptomes using ribosome-profiling and matched RNA-sequencing data for three organs (brain, liver and testis) in five mammals (human, macaque, mouse, opossum and platypus) and a bird (chicken). Our within-species analyses reveal that translational regulation is widespread in the different organs, in particular across the spermatogenic cell types of the testis. The between-species divergence in gene expression is around 20% lower at the translatome layer than at the transcriptome layer owing to extensive buffering between the expression layers, which especially preserved old, essential and housekeeping genes. Translational upregulation specifically counterbalanced global dosage reductions during the evolution of sex chromosomes and the effects of meiotic sex-chromosome inactivation during spermatogenesis. Despite the overall prevalence of buffering, some genes evolved faster at the translatome layer-potentially indicating adaptive changes in expression; testis tissue shows the highest fraction of such genes. Further analyses incorporating mass spectrometry proteomics data establish that the co-evolution of transcriptomes and translatomes is reflected at the proteome layer. Together, our work uncovers co-evolutionary patterns and associated selective forces across the expression layers, and provides a resource for understanding their interplay in mammalian organs.
Keywords
Multidisciplinary
Pubmed
Web of science
Create date
12/11/2020 14:19
Last modification date
14/01/2022 7:08