Highlights d Iron-regulated and calcium-dependent protein kinase CIPK11 interacts with FIT d CIPK11 and calcium sensors CBL1/9 promote FIT-dependent Fe deficiency responses d FIT is phosphorylated in plants, and CIPK11 phosphorylates FIT at Ser272 d Mutation at Ser272 modulates FIT activity, affecting seed iron content
BackgroundFIT (FER-LIKE IRON DEFICIENCY-INDUCED TRANSCRIPTION FACTOR) is the central regulator of iron uptake in Arabidopsis thaliana roots. We performed transcriptome analyses of six day-old seedlings and roots of six week-old plants using wild type, a fit knock-out mutant and a FIT over-expression line grown under iron-sufficient or iron-deficient conditions. We compared genes regulated in a FIT-dependent manner depending on the developmental stage of the plants. We assembled a high likelihood dataset which we used to perform co-expression and functional analysis of the most stably iron deficiency-induced genes.Results448 genes were found FIT-regulated. Out of these, 34 genes were robustly FIT-regulated in root and seedling samples and included 13 novel FIT-dependent genes. Three hundred thirty-one genes showed differential regulation in response to the presence and absence of FIT only in the root samples, while this was the case for 83 genes in the seedling samples. We assembled a virtual dataset of iron-regulated genes based on a total of 14 transcriptomic analyses of iron-deficient and iron-sufficient wild-type plants to pinpoint the best marker genes for iron deficiency and analyzed this dataset in depth. Co-expression analysis of this dataset revealed 13 distinct regulons part of which predominantly contained functionally related genes.ConclusionsWe could enlarge the list of FIT-dependent genes and discriminate between genes that are robustly FIT-regulated in roots and seedlings or only in one of those. FIT-regulated genes were mostly induced, few of them were repressed by FIT. With the analysis of a virtual dataset we could filter out and pinpoint new candidates among the most reliable marker genes for iron deficiency. Moreover, co-expression and functional analysis of this virtual dataset revealed iron deficiency-induced and functionally distinct regulons.Electronic supplementary materialThe online version of this article (doi:10.1186/s12870-016-0899-9) contains supplementary material, which is available to authorized users.
Iron is an essential micronutrient for plants, and iron deficiency requires a variety of physiological adaptations. FIT (FER-LIKE IRON DEFICIENCY-INDUCED TRANSCRIPTION FACTOR) is essential for the regulation of iron uptake in Arabidopsis thaliana roots. FIT is transcriptionally as well as posttranscriptionally regulated in response to iron supply. To investigate to which extent posttranscriptional regulation upon iron deficiency applies to proteins and to determine the dependency on FIT, we performed a parallel proteomic and transcriptomic study with wild-type, a fit knock-out mutant, and a FIT overexpressing Arabidopsis line. Among 92 proteins differentially regulated by iron and/or FIT, we identified 30 proteins, which displayed differential regulation at the transcriptional level. Eleven protein spots were regulated in at least one of the data points even contrary to the respective genes dependent on FIT. We found ten proteins in at least two forms. The analysis of functional classification showed enriched GO terms among the posttranscriptionally regulated genes and of proteins, that were downregulated or absent in the fit knock-out mutant. Taken together, we provide evidence for iron and FIT-dependent posttranscriptional regulation in iron homeostasis in A. thaliana.
Iron (Fe) toxicity is a major challenge for plant cultivation in acidic water-logged soil environments, where lowland rice is a major staple food crop. Only few studies addressed the molecular characterization of excess Fe tolerance in rice, and these highlight different mechanisms for Fe tolerance. Out of 16 lowland rice varieties we identified a pair of contrasting lines, Fe-tolerant Lachit and -susceptible Hacha. The two lines differed in their physiological and morphological responses to excess Fe, including leaf growth, leaf rolling, reactive oxygen species generation, Fe and metal contents. These responses were likely of genetic origin as they were mirrored by differential gene expression patterns, obtained through RNA-sequencing, and corresponding GO term enrichment in tolerant versus susceptible lines. 35 genes of the metal homeostasis category, mainly root-expressed, showed differential transcriptomic profiles suggestive of an induced tolerance mechanism. 22 out of these 35 metal homeostasis genes were present in selection sweep genomic regions, in breeding signatures and/or differentiated during rice domestication. These findings suggest that Fe excess tolerance is an important trait in the domestication of lowland rice, and the identified genes may further serve to design targeted Fe tolerance breeding of rice crops.
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