Phosphorylation plays an essential role in microRNA (miRNA) processing by regulating co-factors of the miRNA biogenesis machinery. HYL1 (Hyponastic Leaves 1), a core co-factor in plant miRNA biogenesis, is a short-lived phosphoprotein. However, the precise balance and regulatory mechanism of the stability and phosphorylation of HYL1 remain unclear. Here, we show that a highly conserved PP4 (Protein Phosphatase 4) and SMEK1 (Suppressor of MEK 1) complex dephosphorylates HYL1 to promote miRNA biogenesis, by antagonizing the MAPK cascade in Arabidopsis. The smek1 mutants exhibit defective miRNA biogenesis due to accelerated degradation of HYL1. SMEK1 stabilizes HYL1 in a dual manner: SMEK1, as a suppressor, inhibits MAPK activation to attenuate HYL1 phosphorylation; SMEK1 assembles a functional PP4 to target HYL1 for dephosphorylation. Moreover, the protein level of SMEK1 is increased in response to abscisic acid. Our results provide insights into the delicate balance between a protein kinase and a phosphatase during miRNA biogenesis.
Gene regulation is a dynamic process in which transcription factors (TFs) play an important role to control spatiotemporal gene expression. While gene regulatory networks describe the interactions between TFs and their target genes, our global knowledge about the complexity of TF control for different genes and biological processes is incomplete. To enhance our global understanding of regulatory interactions in Arabidopsis thaliana, different regulatory input networks capturing complementary information about DNA motifs, open chromatin, TF binding and expression-based regulatory interactions, were combined using a supervised learning approach, resulting in an integrated gene regulatory network (iGRN) covering 1,491 TFs and 31,393 target genes (1.7 million interactions). This iGRN outperforms the different input networks to predict known regulatory interactions and has a similar performance to recover functional interactions compared to state-of-the-art experimental methods like yeast onehybrid and ChIP-seq. The iGRN correctly inferred known functions for 681 TFs and predicted new gene functions for hundreds of unknown TFs. For regulators predicted to be involved in reactive oxygen species stress regulation, we confirmed in total 75% of TFs with a function in ROS and/or physiological stress responses. This includes 13 novel ROS regulators, previously not connected to any ROS or stress function, that were experimentally validated in our ROS-specific phenotypic assays of loss-or gain-of-function lines. In conclusion, the presented iGRN offers a high-quality starting point to enhance our understanding of gene regulation in plants by integrating different experimental data types at the network level.
Lariats are formed by excised introns, when the 59 splice site joins with the branchpoint (BP) during splicing. Although lariat RNAs are usually degraded by RNA debranching enzyme 1, recent findings in animals detected many lariat RNAs under physiological conditions. By contrast, the features of BPs and to what extent lariat RNAs accumulate naturally are largely unexplored in plants. Here, we analyzed 948 RNA sequencing data sets to document plant BPs and lariat RNAs on a genomewide scale. In total, we identified 13,872, 5199, 29,582, and 13,478 BPs in Arabidopsis (Arabidopsis thaliana), tomato (Solanum lycopersicum), rice (Oryza sativa), and maize (Zea mays), respectively. Features of plant BPs are highly similar to those in yeast and human, in that BPs are adenine-preferred and flanked by uracil-enriched sequences. Intriguingly, ;20% of introns harbor multiple BPs, and BP usage is tissue-specific. Furthermore, 10,580 lariat RNAs accumulate in wild-type Arabidopsis plants, and most of these lariat RNAs originate from longer or retroelement-depleted introns. Moreover, the expression of these lariat RNAs is accompanied by the incidence of back-splicing of parent exons. Collectively, our results provide a comprehensive map of intron BPs and lariat RNAs in four plant species and uncover a link between lariat turnover and splicing.
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