The TARANI/ UBIQUITIN SPECIFIC PROTEASE 14 destabilizes the AUX/IAA transcriptional repressors and regulates auxin response in Arabidopsis thaliana
Majumdar, P.; Karidas, P.; Siddiqi, I.; Nath, U.
Show abstract
Auxin response is regulated by a group of AUX/IAA transcriptional inhibitors that suppress auxin signaling in the absence of the hormone. While the degradation of these proteins upon auxin signaling has been well studied, the molecular control of their rapid turn-over is not clearly understood. Here, we report that the TARANI/ UBIQUITIN PROTEASE 14 protein in Arabidopsis thaliana (Arabidopsis) is required for AUX/IAA degradation. The tni mutation was originally identified in a forward genetic screen to isolate mutants with altered leaf shape. Detailed phenotypic analysis revealed that tni displays pleiotropic phenotypic alterations that resemble auxin-related defects. The activity of auxin responsive reporters DR5::GUS, DR5::nYFP and IAA2::GUS was reduced in tni organs, implying that TNI is required for normal auxin response. Genetic interaction studies suggested that TNI acts along with TIR1, ARF7, AUX1 and PIN1 - molecules involved in auxin signaling or transport. A map-based cloning approach combined with next-generation sequencing identified TNI as UBIQUITIN SPECIFIC PROTEASE14 which is involved in ubiquitin recycling. In tni, the mutant primary transcript is spliced inefficiently, which is predicted to produce an aberrant protein product in addition to the normal protein, where a polypeptide corresponding to the 3rd intron in inserted in-frame within the Zn-finger domain of UBP14. The tni plants accumulated poly-ubiquitin chains and excess poly-ubiquitinated proteins due to reduced TNI activity. Improper ubiquitin recycling affected the degradation of DII:VENUS, IAA18:GUS and HS::AXR3-NT:GUS, resulting in their stabilization in the tni mutant. Thus, our study identified a function for TNI/UBP14 in regulating auxin response through ubiquitin recycling.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- SlKIX8 and SlKIX9 are negative regulators of leaf and fruit growth in tomato 97%
- The exogenous application of the apocarotenoid retinaldehyde negatively regulates auxin-mediated root growth 97%
- Endoplasmic reticulum calnexins participate in the primary root growth response to phosphate deficiency 96%
Similar papers in this journal
- FRUITFULL-like genes regulate flowering time and inflorescence architecture in tomato 97%
- Verticillium dahliae effector VDAL protects MYB6 from degradation by interacting with PUB25/26 E3 ligases for enhancing Verticillium wilt resistance in Arabidopsis 96%
- Nuclear auxin signaling is essential for organogenesis but not for cell survival in the liverwort Marchantia polymorpha 96%
Similar papers in this journal
- The unequal functional redundancy of Arabidopsis INCURVATA11 and CUPULIFORMIS2 is not dependent on genetic background 96%
- Maize (Zea mays L.) nucleoskeletal proteins regulate nuclear envelope remodeling and function in stomatal complex development and pollen viability. 96%
- OsbZIP47 an integrator for meristem regulators during rice plant growth and development 96%
Similar papers in this journal
- Dual localization of JA receptor, CaCOI2, explains JA perception dynamics in chickpea 96%
- ABI3 regulates ABI1 function to control cell length in primary root elongation zone 96%
- Characterization of FLOWERING LOCUS T related genes and their putative gene regulatory network in semi-winter Brassica napus cultivar Zhongshaung11 96%
Similar papers in this journal
- MDF regulates a network of auxin-dependent and -independent pathways of adventitious root regeneration in Arabidopsis. 96%
- Mutations in components of the TREX-2 complex result in misexpression of the Kelch-domain F-Box protein KFB39 promoter in Arabidopsis thaliana 96%
- Unequal genetic redundancies among MYC bHLH transcription factors underlie seedling photomorphogenesis in Arabidopsis 96%
"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.