Transcriptome and translatome co-evolution in mammals

Autor: Coralie Rummel, David Gatfield, Katharina Mößinger, Margarida Cardoso-Moreira, Evgeny Leushkin, Bernard de Massy, Thoomke Brüning, Boubou Diagouraga, Frank Grützner, Zhong-Yi Wang, Svetlana Ovchinnikova, Angélica Liechti, Simon Anders, Antoine H.F.M. Peters, Henrik Kaessmann, Peggy Janich, Mark E. Gill
Přispěvatelé: Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Nature, vol. 588, no. 7839, pp. 642-647
Nature
Nature, Nature Publishing Group, 2020, ⟨10.1038/s41586-020-2899-z⟩
ISSN: 0028-0836
1476-4679
Popis: Gene-expression programs define shared and species-specific phenotypes, but their evolution remains largely uncharacterized beyond the transcriptome layer 1 . 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.
Databáze: OpenAIRE
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