title: Transcriptional regulation of ribosome components are determined by stress according to cellular compartments in Arabidopsis thaliana.
abstract: Plants have to coordinate eukaryotic ribosomes (cytoribosomes) and prokaryotic ribosomes (plastoribosomes and mitoribosomes) production to balance cellular protein synthesis in response to environmental variations. We identified 429 genes encoding potential ribosomal proteins (RP) in Arabidopsis thaliana. Because cytoribosome proteins are encoded by small nuclear gene families, plastid RP by nuclear and plastid genes and mitochondrial RP by nuclear and mitochondrial genes, several transcriptional pathways were attempted to control ribosome amounts. Examining two independent genomic expression datasets, we found two groups of RP genes showing very different and specific expression patterns in response to environmental stress. The first group represents the nuclear genes coding for plastid RP whereas the second group is composed of a subset of cytoribosome genes coding for RP isoforms. By contrast, the other cytoribosome genes and mitochondrial RP genes show less constraint in their response to stress conditions. The two subsets of cytoribosome genes code for different RP isoforms. During stress, the response of the intensively regulated subset leads to dramatic variation in ribosome diversity. Most of RP genes have same promoter structure with two motifs at conserved positions. The stress-response of the nuclear genes coding plastid RP is related with the absence of an interstitial telomere motif known as telo box in their promoters. We proposed a model for the "ribosome code" that influences the ribosome biogenesis by three main transcriptional pathways. The first pathway controls the basal program of cytoribosome and mitoribosome biogenesis. The second pathway involves a subset of cytoRP genes that are co-regulated under stress condition. The third independent pathway is devoted to the control of plastoribosome biosynthesis by regulating both nuclear and plastid genes.
authors.affiliation: Institut Jean-Pierre Bourgin, UMR1318 INRA-AgroParisTech, Saclay Plant Sciences, Versailles, France.
authors.forename: Rodnay
authors.initials: R
authors.lastname: Sormani
authors.forename: Céline
authors.initials: C
authors.lastname: Masclaux-Daubresse
authors.forename: Françoise
authors.initials: F
authors.lastname: Daniel-Vedele
authors.forename: Françoise
authors.initials: F
authors.lastname: Daniele-Vedele
authors.forename: Fabien
authors.initials: F
authors.lastname: Chardon
mesh_terms: D017360:Arabidopsis / Q000235:genetics*; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods; D016208:Databases, Factual; D020869:Gene Expression Profiling; D018506:Gene Expression Regulation, Plant; D017343:Genes, Plant; D023281:Genomics; D008957:Models, Genetic; D020411:Oligonucleotide Array Sequence Analysis; D018087:Plastids / Q000378:metabolism; D011401:Promoter Regions, Genetic; D020033:Protein Isoforms; D012333:RNA, Messenger / Q000378:metabolism; D012270:Ribosomes / Q000378:metabolism / Q000502:physiology*; D012984:Software; D014158:Transcription, Genetic
chemical_list: D020033:Protein Isoforms; D012333:RNA, Messenger