Inositol Trisphosphate Kinase and Diphosphoinositol Pentakisphosphate Kinase Enzymes Constitute the Inositol Pyrophosphate Synthesis Pathway in Plants
Adepoju, O.; Williams, S. P.; Craige, B.; Cridland, C. A.; Sharp, A. K.; Brown, A. M.; Land, E.; Perera, I. Y.; Mena, D.; Sobrado, P.; Gillaspy, G. E.
Show abstract
Inositol pyrophosphates (PP-InsPs) are an emerging class of \"high-energy\" intracellular signaling molecules containing one or two diphosphate groups attached to an inositol ring, with suggested roles in bioenergetic homeostasis and inorganic phosphate (Pi) sensing. Information regarding the biosynthesis of these unique class of signaling molecules in plants is scarce, however the enzymes responsible for their biosynthesis in other eukaryotes have been well described. Here we report the characterization of the two Arabidopsis VIP kinase domains, a newly discovered activity of the Arabidopsis ITPK1 and ITPK2 enzymes, and the subcellular localization of the enzymes involved in the synthesis of InsP6 and PP-InsPs. Our data indicate that AtVIP1-KD and AtVIP2-KD act primarily as 1PP-specific Diphosphoinositol Pentakisphosphate Kinases (PPIP5) Kinases. The AtITPK enzymes, in contrast, can function as InsP6 kinases, and thus are the missing enzyme in the plant PP-InsP synthesis pathway. Together, these enzyme classes can function in plants to produce PP-InsPs, which have been implicated in signal transduction and Pi sensing pathways. We measured a higher InsP7 level (increased InsP7/InsP8 ratio) in vip1/vip2 double loss-of-function mutants, and an accumulation of InsP8 (decreased InsP7/InsP8 ratio) in the 35S:VIP2 overexpression line relative to wild-type plants. We also report that enzymes involved in the synthesis of InsPs and PP-InsPs accumulate within the nucleus and cytoplasm of plant cells. Our work defines a molecular basis for understanding how plants synthesize PP-InsPs which is crucial for determining the roles of these signaling molecules in processes such as Pi sensing.\n\nSIGNIFICANCE STATEMENTInositol pyrophosphate signaling molecules are of agronomic importance as they can control complex responses to the limited nutrient, phosphate. This work fills in the missing steps in the inositol pyrophosphate synthesis pathway and points to a role for these molecules in the plant cell nucleus. This is an important advance that can help us design future strategies to increase phosphate efficiency in plants.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Proteomic studies of the Arabidopsis TRAPP complexes reveal conserved organization and a novel plant-specific component with a role in plant development 95%
- Bioengineering secreted proteases converts divergent Rcr3 orthologs and paralogs into extracellular immune co-receptors 95%
- Constitutive activation of leucine-rich repeat receptor kinase signaling pathways by BAK1-interacting receptor-like kinase 3 chimera 95%
Similar papers in this journal
Similar papers in this journal
- Unbiased proteomic and forward genetic screens reveal that mechanosensitive ion channel MSL10 functions at ER-plasma membrane contact sites in Arabidopsis thaliana 95%
- The Arabidopsis V-ATPase is localized to the TGN/EE via a seed plant specific motif and acts in a partially redundant manner with the tonoplast enzyme 95%
- Subtilase-mediated activation of CLEL peptides involves several processing events in consecutive compartments of the secretory pathway 94%
Similar papers in this journal
- Concerted Transport and Phosphorylation of Diacylglycerol at ER-PM Contacts Sites Regulates Phospholipid Dynamics During Stress 95%
- Phosphorylation-dependent sub-functionalization of the calcium-dependent protein kinase CPK28 93%
- Identification of RACK1A as a component of the auxin-ethylene crosstalk regulating apical hook development in Arabidopsis thaliana 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.