The RNA-binding protein RNP29 is an unusual Toc159 transport substrate

The precursors of RNP29 and Ferredoxin (Fd2) were previously identified in the cytosol of ppi2 plant cells with their N-terminal amino acid acetylated. Here, we explore whether precursor accumulation in ppi2 is characteristic for Toc159 client proteins, by characterizing the import properties of the RNP29 precursor in comparison to Fd2 and other Toc159-dependent or independent substrates. We find specific accumulation of the RNP29 precursor in ppi2 but not in wild type or ppi1 protoplasts. With the exception of Lhcb4, precursor accumulation is also detected with all other tested constructs in ppi2. However, RNP29 is clearly different from the other proteins because only precursor but almost no mature protein is detectable in protoplast extracts. Co-transformation of RNP29 with Toc159 complements its plastid import, supporting the hypothesis that RNP29 is a Toc159-dependent substrate. Exchange of the second amino acid in the RNP29 transit peptide to Glu or Asn prevents methionine excision but not N-terminal acetylation, suggesting that different N-acetyltransferases may act on chloroplast precursor proteins in vivo. All different RNP29 constructs are efficiently imported into wild type but not into ppi2 plastids, arguing for a minor impact of the N-terminal amino acid on the import process.

Protein identification and quantification by data-independent acquisition and multi-parallel collision-induced dissociation mass spectrometry (MS(E)) in the chloroplast stroma proteome

We report here a systematic evaluation of a multiplex mass spectrometry method coupled with ion mobility separation (HD-MS(E)) for the identification and quantification of proteins in the chloroplast stroma. We show that this method allows the robust quantification of reference proteins in mixtures, and it detects concentration differences with high sensitivity when three replicas are performed. Applied to the analysis of the chloroplast stroma proteome, HD-MS(E) identified and quantified many chloroplast proteins that were not previously identified in large-scale proteome analyses, suggesting HD-MS(E) as a suitable complementary tool for discovery proteomics. We find that HD-MS(E) tends to underestimate protein abundances at concentrations above 25fmol, which is likely due to ion transmission loss and detector saturation. This limitation can be circumvented by omitting the ion mobility separation step in the HD-MS(E) workflow. The robustness of protein quantification is influenced by the selection of peptides and their intensity distribution, therefore critical scrutiny of quantification results is required. Based on the HD-MS(E) quantification of chloroplast stroma proteins we performed a meta-analysis and compared published quantitative data with our results, using a parts per million normalization scheme. Important pathways in the chloroplast stroma show quantitative stability against different experimental conditions and quantification strategies.

BIOLOGICAL SIGNIFICANCE

Our analysis establishes MS(E)-based Hi3 quantification as a tool for the absolute quantification of proteins in the chloroplast stroma. The meta-analysis performed with a parts per million normalization scheme shows that quantitative proteomics data acquired in different labs and with different quantification strategies yield comparable results for some metabolic pathways, while others show a higher variability. Our data therefore indicate that such meta-analyses allow distinguishing robust from fine-controlled metabolic pathways.

Common and specific protein accumulation patterns in different albino/pale-green mutants reveals regulon organization at the proteome level

Research interest in proteomics is increasingly shifting toward the reverse genetic characterization of gene function at the proteome level. In plants, several distinct gene defects perturb photosynthetic capacity, resulting in the loss of chlorophyll and an albino or pale-green phenotype. Because photosynthesis is interconnected with the entire plant metabolism and its regulation, all albino plants share common characteristics that are determined by the switch from autotrophic to heterotrophic growth. Reverse genetic characterizations of such plants often cannot distinguish between specific consequences of a gene defect from generic effects in response to perturbations in photosynthetic capacity. Here, we set out to define common and specific features of protein accumulation in three different albino/pale-green plant lines. Using quantitative proteomics, we report a common molecular phenotype that connects the loss of photosynthetic capacity with other chloroplast and cellular functions, such as protein folding and stability, plastid protein import, and the expression of stress-related genes. Surprisingly, we do not find significant differences in the expression of key transcriptional regulators, suggesting that substantial regulation occurs at the posttranscriptional level. We examine the influence of different normalization schemes on the quantitative proteomics data and report all identified proteins along with their fold changes and P values in albino plants in comparison with the wild type. Our analysis provides initial guidance for the distinction between general and specific adaptations of the proteome in photosynthesis-impaired plants.

Signal integration by chloroplast phosphorylation networks: an update

Forty years after the initial discovery of light-dependent protein phosphorylation at the thylakoid membrane system, we are now beginning to understand the roles of chloroplast phosphorylation networks in their function to decode and mediate information on the metabolic status of the organelle to long-term adaptations in plastid and nuclear gene expression. With the help of genetics and functional genomics tools, chloroplast kinases and several hundred phosphoproteins were identified that now await detailed functional characterization. The regulation and the target protein spectrum of some kinases are understood, but this information is fragmentary with respect to kinase and target protein crosstalk in a changing environment. In this review, we will highlight the most recent advances in the field and discuss approaches that might lead to a comprehensive understanding of plastid signal integration by protein phosphorylation.

Plastid proteome assembly without Toc159: photosynthetic protein import and accumulation of N-acetylated plastid precursor proteins

Import of nuclear-encoded precursor proteins from the cytosol is an essential step in chloroplast biogenesis that is mediated by protein translocon complexes at the inner and outer envelope membrane (TOC). Toc159 is thought to be the main receptor for photosynthetic proteins, but lacking a large-scale systems approach, this hypothesis has only been tested for a handful of photosynthetic and nonphotosynthetic proteins. To assess Toc159 precursor specificity, we quantitatively analyzed the accumulation of plastid proteins in two mutant lines deficient in this receptor. Parallel genome-wide transcript profiling allowed us to discern the consequences of impaired protein import from systemic transcriptional responses that contribute to the loss of photosynthetic capacity. On this basis, we defined putative Toc159-independent and Toc159-dependent precursor proteins. Many photosynthetic proteins accumulate in Toc159-deficient plastids, and, surprisingly, several distinct metabolic pathways are negatively affected by Toc159 depletion. Lack of Toc159 furthermore affects several proteins that accumulate as unprocessed N-acetylated precursor proteins outside of plastids. Together, our data show an unexpected client protein promiscuity of Toc159 that requires a far more differentiated view of Toc159 receptor function and regulation of plastid protein import, in which cytosolic Met removal followed by N-terminal acetylation of precursors emerges as an additional regulatory step.

Jasmonate controls polypeptide patterning in undamaged tissue in wounded Arabidopsis leaves

Wounding initiates a strong and largely jasmonate-dependent remodelling of the transcriptome in the leaf blades of Arabidopsis (Arabidopsis thaliana). How much control do jasmonates exert on wound-induced protein repatterning in leaves? Replicated shotgun proteomic analyses of 2.5-mm-wide leaf strips adjacent to wounds revealed 106 differentially regulated proteins. Many of these gene products have not emerged as being wound regulated in transcriptomic studies. From experiments using the jasmonic acid (JA)-deficient allene oxide synthase mutant we estimated that approximately 95% of wound-stimulated changes in protein levels were deregulated in the absence of JA. The levels of two tonoplast proteins already implicated in defense response regulation, TWO-PORE CHANNEL1 and the calcium-V-ATPase ACA4 increased on wounding, but their transcripts were not wound inducible. The data suggest new roles for jasmonate in controlling the levels of calcium-regulated pumps and transporters, proteins involved in targeted proteolysis, a putative bacterial virulence factor target, a light-dependent catalyst, and a key redox-controlled enzyme in glutathione synthesis. Extending the latter observation we found that wounding increased the proportion of oxidized glutathione in leaves, but only in plants able to synthesize JA. The oxidizing conditions generated through JA signaling near wounds help to define the cellular environment in which proteome remodelling occurs.

Integrated proteome and metabolite analysis of the de-etiolation process in plastids from rice (Oryza sativa L.)

We have analyzed the dynamics of the rice etioplast membrane proteome during the early phase of de-etiolation using iTRAQ-based relative protein quantification. Several hundred plastid proteins were identified from enriched membranes, including 36 putative transporters. Hierarchical clustering revealed the coordinated light induction of thylakoid membrane proteins with proteins involved in translation and fatty acid metabolism. No other functional category of identified proteins showed a similarly consistent light induction, and no consistent changes were observed for the identified transporters. This suggests that the etioplast metabolism is already primed to accommodate the metabolic changes that occur during the onset of photosynthesis. This hypothesis was further tested in metabolite profiling experiments. Here, the changes upon illumination are mostly restricted to a decrease in the concentration of some amino acids and an increase in the concentrations of aspartic acid, malic acid, fumaric acid, and succinic acid. These changes are consistent with a rapid activation of photosynthesis and subsequent rapid production of storage carbohydrates and proteins. The information at the proteome level and the parallel measurements of metabolite accumulation both support the view that only minor metabolic network reconstruction and modification of enzyme levels occurs during the first 4 h of etioplast to chloroplast differentiation.

The chloroplast import receptor Toc90 partially restores the accumulation of Toc159 client proteins in the Arabidopsis thaliana ppi2 mutant

Successful import of hundreds of nucleus-encoded proteins is essential for chloroplast biogenesis. The import of cytosolic precursor proteins relies on the Toc- (translocon at the outer chloroplast membrane) and Tic- (translocon at the inner chloroplast membrane) complexes. In Arabidopsis thaliana, precursor recognition is mainly mediated by outer membrane receptors belonging to two gene families: Toc34/33 and Toc159/132/120/90. The role in import and precursor selectivity of these receptors has been intensively studied, but the function of Toc90 still remains unclear. Here, we report the ability of Toc90 to support the import of Toc159 client proteins. We show that the overexpression of Toc90 partially complements the albino knockout of Toc159 and restores photoautotrophic growth. Several lines of evidence including proteome profiling demonstrate the import and accumulation of proteins essential for chloroplast biogenesis and functionality.

pep2pro: a new tool for comprehensive proteome data analysis to reveal information about organ-specific proteomes in Arabidopsis thaliana

pep2pro is a comprehensive proteome analysis database specifically suitable for flexible proteome data analysis. The pep2pro database schema offers solutions to the various challenges of developing a proteome data analysis database and because data integrated in pep2pro are in relational format, it enables flexible and detailed data analysis. The information provided here will facilitate building proteome data analysis databases for other organisms or applications. The capacity of the pep2pro database for the integration and analysis of large proteome datasets was demonstrated by creating the pep2pro dataset, which is an organ-specific characterisation of the Arabidopsis thaliana proteome containing 14 522 identified proteins based on 2.6 million peptide spectrum assignments. This dataset provides evidence of protein expression and reveals organ-specific processes. The high coverage and density of the dataset are essential for protein quantification by normalised spectral counting and allowed us to extract information that is usually not accessible in low-coverage datasets. With this quantitative protein information we analysed organ- and organelle-specific sub-proteomes. In addition we matched spectra to regions in the genome that were not predicted to have protein coding capacity and provide PCR validation for selected revised gene models. Furthermore, we analysed the peptide features that distinguish detected from non-detected peptides and found substantial disagreement between predicted and detected proteotypic peptides, suggesting that large-scale proteomics data are essential for efficient selection of proteotypic peptides in targeted proteomics surveys. The pep2pro dataset is available as a resource for plant systems biology at www.pep2pro.ethz.ch.

MASCP Gator: an aggregation portal for the visualization of Arabidopsis proteomics data

Proteomics has become a critical tool in the functional understanding of plant processes at the molecular level. Proteomics-based studies have also contributed to the ever-expanding array of data in modern biology, with many generating Web portals and online resources that contain incrementally expanding and updated information. Many of these resources reflect specialist research areas with significant and novel information that is not currently captured by centralized repositories. The Arabidopsis (Arabidopsis thaliana) community is well served by a number of online proteomics resources that hold an abundance of functional information. These sites can be difficult to locate among a multitude of online resources. Furthermore, they can be difficult to navigate in order to identify specific features of interest without significant technical knowledge. Recently, members of the Arabidopsis proteomics community involved in developing many of these resources decided to develop a summary aggregation portal that is capable of retrieving proteomics data from a series of online resources on the fly. The Web portal is known as the MASCP Gator and can be accessed at the following address: http://gator.masc-proteomics.org/. Significantly, proteomics data displayed at this site retrieve information from the data repositories upon each request. This means that information is always up to date and displays the latest data sets. The site also provides hyperlinks back to the source information hosted at each of the curated databases to facilitate more in-depth analysis of the primary data.

The acidic A-domain of Arabidopsis TOC159 occurs as a hyperphosphorylated protein

The translocon at the outer membrane of the chloroplast assists the import of a large class of preproteins with amino-terminal transit sequences. The preprotein receptors Toc159 and Toc33 in Arabidopsis (Arabidopsis thaliana) are specific for the accumulation of abundant photosynthetic proteins. The receptors are homologous GTPases known to be regulated by phosphorylation within their GTP-binding domains. In addition to the central GTP-binding domain, Toc159 has an acidic N-terminal domain (A-domain) and a C-terminal membrane-anchoring domain (M-domain). The A-domain of Toc159 is dispensable for its in vivo activity in Arabidopsis and prone to degradation in pea (Pisum sativum). Therefore, it has been suggested to have a regulatory function. Here, we show that in Arabidopsis, the A-domain is not simply degraded but that it accumulates as a soluble, phosphorylated protein separated from Toc159. However, the physiological relevance of this process is unclear. The data show that the A-domain of Toc159 as well as those of its homologs Toc132 and Toc120 are targets of a casein kinase 2-like activity.

The chloroplast kinase network: new insights from large-scale phosphoproteome profiling

Protein phosphorylation is one of the most important posttranslational modifications in eukaryotic cells and affects almost all basic cellular processes. The chloroplast as plant-specific cell organelle with important metabolic functions is integrated into the cellular signaling and phosphorylation network. Recent large-scale chloroplast phosphoproteome analyses in Arabidopsis have provided new information about phosphorylation targets and expanded the list of chloroplast metabolic and regulatory functions that are potentially controlled by protein phosphorylation. Phosphorylated peptides identified from chloroplast proteins provide new insights into phosphorylation motifs, protein kinase activities, and substrate utilization. Phosphorylation sites in protein kinases can reveal chloroplast phosphorylation cascades that may network different functions by integrating signaling chains. Our review provides a meta-analysis of currently available chloroplast phosphoproteome information and discusses biological insights from large-scale chloroplast phosphoprotein profiling as well as technological constraints of kinase network analysis.

Large-scale Arabidopsis phosphoproteome profiling reveals novel chloroplast kinase substrates and phosphorylation networks

We have characterized the phosphoproteome of Arabidopsis (Arabidopsis thaliana) seedlings using high-accuracy mass spectrometry and report the identification of 1,429 phosphoproteins and 3,029 unique phosphopeptides. Among these, 174 proteins were chloroplast phosphoproteins. Motif-X (motif extractor) analysis of the phosphorylation sites in chloroplast proteins identified four significantly enriched kinase motifs, which include casein kinase II (CKII) and proline-directed kinase motifs, as well as two new motifs at the carboxyl terminus of ribosomal proteins. Using the phosphorylation motifs as a footprint for the activity of a specific kinase class, we connected the phosphoproteins with their putative kinases and constructed a chloroplast CKII phosphorylation network. The network topology suggests that CKII is a central regulator of different chloroplast functions. To provide insights into the dynamic regulation of protein phosphorylation, we analyzed the phosphoproteome at the end of day and end of night. The results revealed only minor changes in chloroplast kinase activities and phosphorylation site utilization. A notable exception was ATP synthase beta-subunit, which is found phosphorylated at CKII phosphorylation sites preferentially in the dark. We propose that ATP synthase is regulated in cooperation with 14-3-3 proteins by CKII-mediated phosphorylation of ATP synthase beta-subunit in the dark.

Plant proteomics: concepts, applications, and novel strategies for data interpretation

Proteomics is an essential source of information about biological systems because it generates knowledge about the concentrations, interactions, functions, and catalytic activities of proteins, which are the major structural and functional determinants of cells. In the last few years significant technology development has taken place both at the level of data analysis software and mass spectrometry hardware. Conceptual progress in proteomics has made possible the analysis of entire proteomes at previously unprecedented density and accuracy. New concepts have emerged that comprise quantitative analyses of full proteomes, database-independent protein identification strategies, targeted quantitative proteomics approaches with proteotypic peptides and the systematic analysis of an increasing number of posttranslational modifications at high temporal and spatial resolution. Although plant proteomics is making progress, there are still several analytical challenges that await experimental and conceptual solutions. With this review I will highlight the current status of plant proteomics and put it into the context of the aforementioned conceptual progress in the field, illustrate some of the plant-specific challenges and present my view on the great opportunities for plant systems biology offered by proteomics.

PepSplice: cache-efficient search algorithms for comprehensive identification of tandem mass spectra

MOTIVATION

Tandem mass spectrometry allows for high-throughput identification of complex protein samples. Searching tandem mass spectra against sequence databases is the main analysis method nowadays. Since many peptide variations are possible, including them in the search space seems only logical. However, the search space usually grows exponentially with the number of independent variations and may therefore overwhelm computational resources.

RESULTS

We provide fast, cache-efficient search algorithms to screen large peptide search spaces including non-tryptic peptides, whole genomes, dozens of posttranslational modifications, unannotated point mutations and even unannotated splice sites. All these search spaces can be screened simultaneously. By optimizing the cache usage, we achieve a calculation speed that closely approaches the limits of the hardware. At the same time, we control the size of the overall search space by limiting the combinations of variations that can co-occur on the same peptide. Using a hypergeometric scoring scheme, we applied these algorithms to a dataset of 1 420 632 spectra. We were able to identify a considerable number of peptide variations within a modest amount of computing time on standard desktop computers.

Novel tonoplast transporters identified using a proteomic approach with vacuoles isolated from cauliflower buds

Young meristematic plant cells contain a large number of small vacuoles, while the largest part of the vacuome in mature cells is composed by a large central vacuole, occupying 80% to 90% of the cell volume. Thus far, only a limited number of vacuolar membrane proteins have been identified and characterized. The proteomic approach is a powerful tool to identify new vacuolar membrane proteins. To analyze vacuoles from growing tissues we isolated vacuoles from cauliflower (Brassica oleracea) buds, which are constituted by a large amount of small cells but also contain cells in expansion as well as fully expanded cells. Here we show that using purified cauliflower vacuoles and different extraction procedures such as saline, NaOH, acetone, and chloroform/methanol and analyzing the data against the Arabidopsis (Arabidopsis thaliana) database 102 cauliflower integral proteins and 214 peripheral proteins could be identified. The vacuolar pyrophosphatase was the most prominent protein. From the 102 identified proteins 45 proteins were already described. Nine of these, corresponding to 46% of peptides detected, are known vacuolar proteins. We identified 57 proteins (55.9%) containing at least one membrane spanning domain with unknown subcellular localization. A comparison of the newly identified proteins with expression profiles from in silico data revealed that most of them are highly expressed in young, developing tissues. To verify whether the newly identified proteins were indeed localized in the vacuole we constructed and expressed green fluorescence protein fusion proteins for five putative vacuolar membrane proteins exhibiting three to 11 transmembrane domains. Four of them, a putative organic cation transporter, a nodulin N21 family protein, a membrane protein of unknown function, and a senescence related membrane protein were localized in the vacuolar membrane, while a white-brown ATP-binding cassette transporter homolog was shown to reside in the plasma membrane. These results demonstrate that proteomic analysis of highly purified vacuoles from specific tissues allows the identification of new vacuolar proteins and provides an additional view of tonoplastic proteins.

Proteome analysis of chloroplast mRNA processing and degradation

Chloroplasts have a complex enzymatic machinery to adjust the relative half-life of their mRNAs to environmental signals. Soluble protein extracts from spinach (Spinacia oleracea L.) chloroplasts that correctly reproduce in vitro the differential mRNA stability observed in vivo were analyzed using shotgun proteomics to identify the proteins that are potentially involved in this process. The combination of a novel strategy for the database-independent detection of proteins from MS/MS data with standard database searches allowed us to identify 243 proteins with high confidence, which include several nucleases and RNA binding proteins but also proteins that have no reported function in chloroplast mRNA metabolism. Characterization of enzyme activities that adjust mRNA stability in response to illumination revealed that the dark-induced RNA degradation pathway involves enzymatic activities that differ from those that direct RNA processing and stabilization in the light. Dark-induced mRNA degradation comprises a MgCl2-independent and a MgCl2-dependent step, which releases nucleoside di- and monophosphates from the petD 3'-UTR precursor substrate. RNA degradation can be blocked with RNasin, a potent inhibitor of eukaryotic ribonucleases, suggesting that chloroplast mRNA degradation involves enzymes that are distinct from those found in prokaryotic-type RNA degradation. On the basis of the identified proteins and the in vitro characterization of the RNA degradation activities, we discuss scenarios and components that potentially determine plastid mRNA stability.

NovoHMM: a hidden Markov model for de novo peptide sequencing

De novo sequencing of peptides poses one of the most challenging tasks in data analysis for proteome research. In this paper, a generative hidden Markov model (HMM) of mass spectra for de novo peptide sequencing which constitutes a novel view on how to solve this problem in a Bayesian framework is proposed. Further extensions of the model structure to a graphical model and a factorial HMM to substantially improve the peptide identification results are demonstrated. Inference with the graphical model for de novo peptide sequencing estimates posterior probabilities for amino acids rather than scores for single symbols in the sequence. Our model outperforms state-of-the-art methods for de novo peptide sequencing on a large test set of spectra.