Quantitative Proteomics and Phosphoproteomics Support a Role for Mut9-Like Kinases in Multiple Metabolic and Signaling Pathways in Arabidopsis

Quantitative Time-Course Analysis of Osmotic and Salt Stress in Arabidopsis thaliana Using Short Gradient Multi-CV FAIMSpro BoxCar DIA

A major limitation when undertaking quantitative proteomic time-course experimentation is the tradeoff between depth-of-analysis and speed-of-analysis. In high complexity and high dynamic range sample types, such as plant extracts, balance between resolution and time is especially apparent. To address this, we evaluate multiple compensation voltage (CV) high field asymmetric waveform ion mobility spectrometry (FAIMSpro) settings using the latest label-free single-shot Orbitrap-based DIA acquisition workflows for their ability to deeply quantify the Arabidopsis thaliana seedling proteome. Using a BoxCarDIA acquisition workflow with a -30 -50 -70 CV FAIMSpro setting, we were able to consistently quantify >5000 Arabidopsis seedling proteins over a 21-min gradient, facilitating the analysis of ∼42 samples per day. Utilizing this acquisition approach, we then quantified proteome-level changes occurring in Arabidopsis seedling shoots and roots over 24 h of salt and osmotic stress, to identify early and late stress response proteins and reveal stress response overlaps. Here, we successfully quantify >6400 shoot and >8500 root protein groups, respectively, quantifying nearly ∼9700 unique protein groups in total across the study. Collectively, we pioneer a short gradient, multi-CV FAIMSpro BoxCarDIA acquisition workflow that represents an exciting new analysis approach for undertaking quantitative proteomic time-course experimentation in plants.

Ubiquitylome analysis reveals the involvement of ubiquitination in the cold responses of banana seedling leaves

Low temperature is a crucial environmental factor limiting the productivity and distribution of banana. Ubiquitination (Kub) is one of the main posttranslational modifications (PTMs) involved in plant responses to abiotic stresses. However, little information is available on the effects of Kub on banana under cold stress. In this study, we used label-free quantification (LFQ) to identify changes in the protein expression and Kub levels in banana seedling leaves after chilling treatment. In total, 4156 proteins, 1089 ubiquitinated proteins and 2636 Kub sites were quantified. Western blot assays showed that Kub was abundant in leaves after low-temperature treatment. Our results show that the proteome and ubiquitylome were negatively correlated, indicating that Kub could be involved in the degradation of proteins in banana after chilling treatment. Based on bioinformatics analysis, low-temperature stress-related signals and metabolic pathways such as cold acclimation, glutathione metabolism, calcium signaling, and photosynthesis signaling were identified. In addition, we found that transcription factors and chromatin remodeling factors related to low-temperature stress were ubiquitinated. Overall, our work presents the first systematic analysis of the Kub proteome in banana under cold stress and provides support for future studies on the regulatory mechanisms of Kub during the cold stress response in plants. SIGNIFICANCE: Banana is a typical tropical fruit tree with poor low-temperature tolerance,however, the role of PTMs such as Kub in the cold response of banana remains unclear. This study highlights the fact that the effects of low-temperature on proteome and ubiquitylome in the banana seedling leaves, we discussed the correlation between transcriptome and proteome, ubiquitylome and proteome, and we analyzed the expression and the changes of ubiquitination levels of low-temperature related proteins and pathway after chilling treatment, and we found that transcription factors and chromatin remodeling factors related to low-temperature stress were ubiquitinated. This study provides new insights into the ubiquitination pathway of banana under cold stress.

Data-independent acquisition-based global phosphoproteomics reveal the diverse roles of casein kinase 1 in plant development

Casein kinase 1 (CK1) is serine/threonine protein kinase highly conserved among eukaryotes, and regulates multiple developmental and signaling events through phosphorylation of target proteins. Arabidopsis early flowering 1 (EL1)-like (AELs) are plant-specific CK1s with varied functions, but identification and validation of their substrates is a major bottleneck in elucidating their physiological roles. Here, we conducted a quantitative phosphoproteomic analysis in data-independent acquisition mode to systematically identify CK1 substrates. We extracted proteins from seedlings overexpressing individual AEL genes (AEL1/2/3/4-OE) or lacking AEL function (all ael single mutants and two triple mutants) to identify the high-confidence phosphopeptides with significantly altered abundance compared to wild-type Col-0. Among these, we selected 3985 phosphopeptides with higher abundance in AEL-OE lines or lower abundance in ael mutants compared with Col-0 as AEL-upregulated phosphopeptides, and defined 1032 phosphoproteins. Eight CK1s substrate motifs were enriched among AEL-upregulated phosphopeptides and verified, which allowed us to predict additional candidate substrates and functions of CK1s. We functionally characterized a newly identified substrate C3H17, a CCCH-type zinc finger transcription factor, through biochemical and genetic analyses, revealing a role for AEL-promoted C3H17 protein stability and transactivation activity in regulating embryogenesis. As CK1s are highly conserved across eukaryotes, we searched the rice, mouse, and human protein databases using newly identified CK1 substrate motifs, yielding many more candidate substrates than currently known, largely expanding our understanding of the common and distinct functions exerted by CK1s in Arabidopsis and humans, facilitating future mechanistic studies of CK1-mediated phosphorylation in different species.

Retrograde signaling in plants: A critical review focusing on the GUN pathway and beyond

Plastids communicate their developmental and physiological status to the nucleus via retrograde signaling, allowing nuclear gene expression to be adjusted appropriately. Signaling during plastid biogenesis and responses of mature chloroplasts to environmental changes are designated "biogenic" and "operational" controls, respectively. A prominent example of the investigation of biogenic signaling is the screen for gun (genomes uncoupled) mutants. Although the first five gun mutants were identified 30 years ago, the functions of GUN proteins in retrograde signaling remain controversial, and that of GUN1 is hotly disputed. Here, we provide background information and critically discuss recently proposed concepts that address GUN-related signaling and some novel gun mutants. Moreover, considering heme as a candidate in retrograde signaling, we revisit the spatial organization of heme biosynthesis and export from plastids. Although this review focuses on GUN pathways, we also highlight recent progress in the identification and elucidation of chloroplast-derived signals that regulate the acclimation response in green algae and plants. Here, stress-induced accumulation of unfolded/misassembled chloroplast proteins evokes a chloroplast-specific unfolded protein response, which leads to changes in the expression levels of nucleus-encoded chaperones and proteases to restore plastid protein homeostasis. We also address the importance of chloroplast-derived signals for activation of flavonoid biosynthesis leading to production of anthocyanins during stress acclimation through sucrose non-fermenting 1-related protein kinase 1. Finally, a framework for identification and quantification of intercompartmental signaling cascades at the proteomic and metabolomic levels is provided, and we discuss future directions of dissection of organelle-nucleus communication.

Tandem Mass Tag-Based Phosphoproteomics in Plants

Mass spectrometry-based proteomics provide a powerful tool for plant research, allowing global detection of steady-state levels of proteins under a given experimental setup. Here, we provide an optimized protocol for proteomic profiling using tandem mass tag (TMT) labeling followed by liquid chromatography-mass spectrometry (LC-MS/MS) to quantitate phosphopeptides and non-phosphopeptides from the same samples. The outlined protocol comprises a series of successive steps, namely, SDS (sodium dodecyl sulfate) protein extraction, protein precipitation, digestion, TMT labeling, phosphopeptide enrichment, high pH reversed-phase fractionation, LC-MS/MS analysis, protein identification, and data analysis. Our proteome-scale protocol requires 0.1 mg protein per sample and allows for the reliable and accurate quantification of more than 8000 proteins in Arabidopsis plant samples across multiple conditions, including low abundant peptides.

Deephos: Predicted spectral database search for TMT-labeled phosphopeptides and its false discovery rate estimation

MOTIVATION

Tandem mass tag (TMT)-based tandem mass spectrometry (MS/MS) has become the method of choice for the quantification of post-translational modifications in complex mixtures. Many cancer proteogenomic studies have highlighted the importance of large-scale phosphopeptide quantification coupled with TMT labeling. Herein, we propose a predicted Spectral DataBase (pSDB) search strategy called Deephos that can improve both sensitivity and specificity in identifying MS/MS spectra of TMT-labeled phosphopeptides.

RESULTS

With deep learning-based fragment ion prediction, we compiled a pSDB of TMT-labeled phosphopeptides generated from ∼8,000 human phosphoproteins annotated in UniProt. Deep learning could successfully recognize the fragmentation patterns altered by both TMT labeling and phosphorylation. In addition, we discuss the decoy spectra for false discovery rate (FDR) estimation in the pSDB search. We show that FDR could be inaccurately estimated by the existing decoy spectra generation methods and propose an innovative method to generate decoy spectra for more accurate FDR estimation. The utilities of Deephos were demonstrated in multi-stage analyses (coupled with database searches) of glioblastoma, acute myeloid leukemia, and breast cancer phosphoproteomes.

AVAILABILITY

Deephos pSDB and the search software are available at https://github.com/seungjinna/deephos.

Phosphorylation of Histone H2A at Serine 95 Is Essential for Flowering Time and Development in Arabidopsis

Phosphorylation of H2A at serine 95 (H2AS95ph) mediated by MLK4 promotes flowering and H2A.Z deposition. However, little is known about MLK1, MLK2, and MLK3 during the flowering time. Here, we systemically analyze the functions of MLK family in flowering time and development. Mutation in MLK3, but not MLK1 and MLK2, displayed late-flowering phenotype. Loss of MLK3 function enhanced the late-flowering phenotype of mlk4 mutant, but not reinforced the late-flowering phenotype of mlk1 mlk2 double mutants. MLK3 displayed the kinase activity to histone H2AS95ph in vitro. The global H2AS95ph levels were reduced in mlk3 mlk4, but not in mlk3 and mlk4 single mutant and mlk1 mlk2 double mutant, and the H2AS95ph levels in mlk1 mlk3 mlk4 and mlk2 mlk3 mlk4 were similar to those in mlk3 mlk4 double mutant. MLK3 interacted with CCA1, which binds to the promoter of GI. Correspondingly, the transcription levels and H2AS95ph levels of GI were reduced in mlk3 and mlk4 single mutant, and greatly decreased in mlk3 mlk4 double mutant, but not further attenuated in mlk1 mlk3 mlk4 and mlk2 mlk3 mlk4 triple mutant. Together, our results suggested that H2AS95ph deposition mediated by MLK3 and MLK4 is essential for flowering time in Arabidopsis.