Parallel global profiling of plant TOR dynamics reveals a conserved role for LARP1 in translation
Abstract
TARGET OF RAPAMYCIN (TOR) is a protein kinase that coordinates eukaryotic metabolism. In mammals, TOR specifically promotes translation of ribosomal protein mRNAs when amino acids are available to support protein synthesis. The mechanisms controlling translation downstream from TOR remain contested, however, and are largely unexplored in plants. To define these mechanisms in plants, we globally profiled the plant TOR-regulated transcriptome, translatome, proteome, and phosphoproteome. We found that TOR regulates ribosome biogenesis in plants at multiple levels, but through mechanisms that do not directly depend on 5′ oligopyrimidine tract motifs (5′TOPs) found in mammalian ribosomal protein mRNAs. We then show that the TOR-LARP1-5′TOP signaling axis is conserved in plants and regulates expression of a core set of eukaryotic 5′TOP mRNAs, as well as new, plant-specific 5′TOP mRNAs. Our study illuminates ancestral roles of the TOR-LARP1-5′TOP metabolic regulatory network and provides evolutionary context for ongoing debates about the molecular function of LARP1.
Data availability
Sequencing data are available at NCBI SRA, project PRJNA639161.Proteome data are available via PRIDE and ProteomeXchange, doi:10.6019/PXD019942.
-
Parallel global profiling of plant TOR dynamicsNCBI SRA, PRJNA639161.
Article and author information
Author details
Funding
National Institutes of Health (DP5-OD023072)
- Jacob Oliver Brunkard
National Science Foundation (IOS-1612268)
- Samuel Leiboff
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2020, Scarpin et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 4,060
- views
-
- 583
- downloads
-
- 74
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Citations by DOI
-
- 74
- citations for umbrella DOI https://doi.org/10.7554/eLife.58795