Cell wall proteomic of Brachypodium distachyon grains: A focus on cell wall remodeling proteins

Cell walls play key roles during plant development. Following their deposition into the cell wall, polysaccharides are continually remodeled according to the growth stage and stress environment to accommodate cell growth and differentiation. To date, little is known concerning the enzymes involved in cell wall remodeling, especially in gramineous and particularly in the grain during development. Here, we investigated the cell wall proteome of the grain of Brachypodium distachyon. This plant is a suitable model for temperate cereal crops. Among the 601 proteins identified, 299 were predicted to be secreted. These proteins were distributed into eight functional classes; the class of proteins that act on carbohydrates was the most highly represented. Among these proteins, numerous glycoside hydrolases were found. Expansins and peroxidases, which are assumed to be involved in cell wall polysaccharide remodeling, were also identified. Approximately half of the proteins identified in this study were newly discovered in grain and were not identified in the previous proteome analysis conducted using the culms and leaves of B. distachyon. Therefore, the data obtained from all organs of B. distachyon infer a global cell wall proteome consisting of 460 proteins. At present, this is the most extensive cell wall proteome of a monocot species.     

Cell wall proteomics of sugarcane cell suspension cultures

The use of cell walls to produce cellulosic ethanol from sugarcane bagasse is a new challenge. A better knowledge of proteins involved in cell wall remodelling is essential to improve the saccharification processes. Cell suspension cultures were used for this first cell wall proteomics study of sugarcane. Proteins extracted from cell walls were identified using an adapted protocol. They were extracted using 0.2 M CaCl₂ and 2 M LiCl after purification of cell walls. The proteins were then identified by the innovative nanoACQUITY UPLC MS/MS technology and bioinformatics using the translated SUCEST EST cluster database of sugarcane. The experiments were reproduced three times. Since Sorghum bicolor is the closest plant with a fully sequenced genome, homologous proteins were searched for to complete the annotation of proteins, that is, prediction of subcellular localization and functional domains. Altogether, 69 different proteins predicted to be secreted were identified among 377 proteins. The reproducibility of the experiments is discussed. These proteins were distributed into eight functional classes. Oxidoreductases such as peroxidases were well represented, whereas glycoside hydrolases were scarce. This work provides information about the proteins that could be manipulated through genetic transformation, to increase second‐generation ethanol production.     

Cell wall proteome analysis of Arabidopsis thaliana mature stems

Plant stems carry flowers necessary for species propagation and need to be adapted to mechanical disturbance and environmental factors. The stem cell walls are different from other organs and can modify their rigidity or viscoelastic properties for the integrity and the robustness required to withstand mechanical impacts and environmental stresses. Plant cell wall is composed of complex polysaccharide networks also containing cell wall proteins (CWPs) crucial to perceive and limit the environmental effects. The CWPs are fundamental players in cell wall remodeling processes, and today, only 86 have been identified from the mature stems of the model plant Arabidopsis thaliana. With a destructive method, this study has enlarged its coverage to 302 CWPs. This new proteome is mainly composed of 27.5% proteins acting on polysaccharides, 16% proteases, 11.6% oxido‐reductases, 11% possibly related to lipid metabolism and 11% of proteins with interacting domains with proteins or polysaccharides. Compared to stem cell wall proteomes already available (Brachypodium distachyon, Sacharum officinarum, Linum usitatissimum, Medicago sativa), that of A. thaliana stems has a higher proportion of proteins acting on polysaccharides and of proteases, but a lower proportion of oxido‐reductases.     

Comparative proteomics of leaf,stem, and root tissues of synthetic Brassica napus

Comparative proteomics was applied to three vegetative organs of Brassica napus, the leaf, stem, and root using 2‐DE. Among the >1600 analyzed spots, 43% were found to be common to all three organs, suggesting the existence of a “basal” or ubiquitous proteome composed of housekeeping proteins. The green organs, leaf, and stem, were closely related (～80% common spots) while the root displayed more organ‐specific polypeptides (～10%). Reference maps were established using MS, allowing the identification of 93, 385, and 266 proteins in leaf, stem, and root proteomes, respectively. Bioinformatic analyses were also performed; in silico functional categorization and cellular localization allow obtaining a precise picture of the cell molecular network within vegetative organs. These proteome maps can be explored using the PROTICdb software at the following address: http://bioinformatique.moulon.inra.fr/proticdb/web_view/.     

Cell wall proteomics contributes to explore the functional proteins of Brachypodium distachyon grains

The plant cell wall is the first barrier in response to external stimuli and cell wall proteins (CWPs) can play an important role in the modulation of plant growth and development. In the past 10 years, the plant cell wall proteomics has increasingly become a very active research filed, which provides a broader understanding of CWPs for people. The cell wall proteome of Arabidopsis, rice, and other model plants has begun to take shape, and proteomic technology has become an effective way to identify the candidate functional CWPs in large scale. The challenging work of Francin‐Allami et al. (Proteomics 2015, 15, 2296–2306) is a vital step toward building the most extensive cell wall proteome of a monocot species. They identified 299 cell wall proteins in Brachypodium distachyon grains, and also compared the grain cell wall proteome with those of B. distachyon culms and leaves, which provides a new perspective for further explaining the plant cell wall structures and remodeling mechanism.     

Bioelicitors Induce Association of Defence Enzymes with Cell Walls of Lycopersicum esculentum

Cell walls of plants are complex structures impregnated with various proteins having wide array of functions. In this study, twenty‐eight proteins isolated from tomato cell walls were subjected to MALDI‐TOF MS followed by mass peak analysis using ORIGIN 6 software. The mass peaks subjected to MASCOT and ProFound databases for peptide mass fingerprinting led to the identification of 9 protein domains. These proteins were further classified according to their functions. Fruit extracts of A. indica could elicit induction, localization and functioning of peroxidase (POX) and polyphenol oxidase (PPO) and their isoenzymes in cell walls of Lycopersicum esculentum (tomato) against Pseudomonas syringae pv. tomato. The results revealed the possible involvement of cell wall‐bound proteins in defence of plants against the invading pathogens. A number of novel isoenzymes of both POX and PPO were found to be located in the cell walls of the plants treated with neem extract. Neem extract can induce accumulation and binding of isoenzymes to cell walls. These isoenzymes could possibly protect host plants against the invading pathogens.     

Assessment and Refinement of Sample Preparation Methods for Deep and Quantitative Plant Proteome Profiling

A major challenge in the field of proteomics is obtaining high‐quality peptides for comprehensive proteome profiling by LC–MS. Here, evaluation and modification of a range of sample preparation methods using photosynthetically active Arabidopsis leaf tissue are done. It was found that inclusion of filter‐aided sample preparation (FASP) based on filter digestion improves all protein extraction methods tested. Ultimately, a detergent‐free urea‐FASP approach that enables deep and robust quantification of leaf and root proteomes is shown. For example, from 4‐day‐old leaf tissue, up to 11 690 proteins were profiled from a single sample replicate. This method should be broadly applicable to researchers working with difficult to process plant samples.     

A label‐free internal standard method for the differential analysis of bioactive lupin proteins using nano HPLC‐Chip coupled with Ion Trap mass spectrometry

Quantitative proteomics based on MS is useful for pointing out the differences in some food proteomes relevant to human nutrition. Stable isotope label‐free (SIF) techniques are suitable for comparing an unlimited number of samples by the use of relatively simple experimental workflows. We have developed an internal standard label‐free method based on the intensities of peptide precursor ions from MS/MS spectra, collected in data dependent runs, for the simultaneous qualitative characterization and relative quantification of storage proteins of Lupinus albus seeds in protein extracts of four lupin cultivars (cv Adam, Arés, Lucky, Multitalia). The use of an innovative microfluidic system, the HPLC‐Chip, coupled with a classical IT mass spectrometer, has allowed a complete qualitative characterization of all proteins. In particular, the homology search mode has permitted to identify single amino acid substitutions in the sequences of vicilins (β‐conglutin precursor and vicilin‐like protein). The MS/MS sequencing of substituted peptides confirms the high heterogeneity of vicilins according to the peculiar characteristics of the vicilin‐encoding gene family. Two suitable bioinformatics parameters were optimized for the differential analyses of the main bioactive proteins: the “normalized protein average of common reproducible peptides” (N‐ACRP) for γ‐conglutin, which is a homogeneous protein, and the “normalized protein mean peptide spectral intensity” (N‐MEAN) for the highly heterogenous class of the vicilins.     

Identification of cell wall-associated proteins from Phytophthora ramorum

The oomycete genus Phytophthora comprises a large group of fungal-like plant pathogens. Two Phytophthora genomes recently have been sequenced; one of them is the genome of Phytophthora ramorum, the causal agent of sudden oak death. During plant infection, extracellular proteins, either soluble secreted proteins or proteins associated with the cell wall, play important roles in the interaction with host plants. Cell walls of P. ramorum contain 1 to 1.5% proteins, the remainder almost exclusively being accounted for by glucan polymers. Here, we present an inventory of cell-wall-associated proteins based on mass spectrometric sequence analysis of tryptic peptides obtained by proteolytic digestion of sodium dodecyl sulfate-treated mycelial cell walls. In total, 17 proteins were identified, all of which are authentic secretory proteins. Functional classification based on homology searches revealed six putative mucins or mucin-like proteins, five putative glycoside hydrolases, two transglutaminases, one annexin-like protein, the elicitin protein RAM5, one protein of unknown function, and one Kazal-type protease inhibitor. We propose that the cell wall proteins thus identified are important for pathogenicity.     

Plant glycoside hydrolases involved in cell wall polysaccharide degradation.

The cell wall plays a key role in controlling the size and shape of the plant cell during plant development and in the interactions of the plant with its environment. The cell wall structure is complex and contains various components such as polysaccharides, lignin and proteins whose composition and concentration change during plant development and growth. Many studies have revealed changes in cell walls which occur during cell division, expansion, and differentiation and in response to environmental stresses; i.e. pathogens or mechanical stress. Although many proteins and enzymes are necessary for the control of cell wall organization, little information is available concerning them. An important advance was made recently concerning cell wall organization as plant enzymes that belong to the superfamily of glycoside hydrolases and transglycosidases were identified and characterized; these enzymes are involved in the degradation of cell wall polysaccharides. Glycoside hydrolases have been characterized using molecular, genetic and biochemical approaches. Many genes encoding these enzymes have been identified and functional analysis of some of them has been performed. This review summarizes our current knowledge about plant glycoside hydrolases that participate in the degradation and reorganisation of cell wall polysaccharides in plants focussing particularly on those from Arabidopsis thaliana.     

Characterization of the Sclerotinia sclerotiorum cell wall proteome

We used a proteomic analysis to identify cell wall proteins released from Sclerotinia sclerotiorum hyphal and sclerotial cell walls via a trifluoromethanesulfonic acid (TFMS) digestion. Cell walls from hyphae grown in Vogel's glucose medium (a synthetic medium lacking plant materials), from hyphae grown in potato dextrose broth and from sclerotia produced on potato dextrose agar were used in the analysis. Under the conditions used, TFMS digests the glycosidic linkages in the cell walls to release intact cell wall proteins. The analysis identified 24 glycosylphosphatidylinositol (GPI)‐anchored cell wall proteins and 30 non‐GPI‐anchored cell wall proteins. We found that the cell walls contained an array of cell wall biosynthetic enzymes similar to those found in the cell walls of other fungi. When comparing the proteins in hyphal cell walls grown in potato dextrose broth with those in hyphal cell walls grown in the absence of plant material, it was found that a core group of cell wall biosynthetic proteins and some proteins associated with pathogenicity (secreted cellulases, pectin lyases, glucosidases and proteases) were expressed in both types of hyphae. The hyphae grown in potato dextrose broth contained a number of additional proteins (laccases, oxalate decarboxylase, peroxidase, polysaccharide deacetylase and several proteins unique to Sclerotinia and Botrytis) that might facilitate growth on a plant host. A comparison of the proteins in the sclerotial cell wall with the proteins in the hyphal cell wall demonstrated that sclerotia formation is not marked by a major shift in the composition of cell wall protein. We found that the S. sclerotiorum cell walls contained 11 cell wall proteins that were encoded only in Sclerotinia and Botrytis genomes.     

Secretome Prediction and Analysis in Sacred Lotus (Nelumbo nucifera Gaertn.)

Sacred lotus, Nelumbo nucifera (Gaertn.), is a basal eudicot with agricultural and medicinal importance. The secretome and proteins in some other subcellular locations including endoplasmic reticulum (ER), mitochondrion, chloroplast, and membrane of sacred lotus were predicted using a set of computational tools. The distribution of proteins in each subcellular location in sacred lotus was compared with proteins in five other plant species. Plant proteomes contained approximately 6–9 % of secreted proteins, 13–15 % membrane proteins, 12–20 % mitochondrial or chloroplast proteins, respectively. Plant secreted proteins consist of a large number of hydrolases and peroxidases which may contribute to cell wall formation, rhizome development and seed germination regulation. The information of secretome and other protein subcellular locations in sacred lotus and other species can be accessed at the PlantSecKB website (http://proteomics.ysu.edu/secretomes/plant.php).     

ICPLQuant – A software for non‐isobaric isotopic labeling proteomics

The main goal of many proteomics experiments is an accurate and rapid quantification and identification of regulated proteins in complex biological samples. The bottleneck in quantitative proteomics remains the availability of efficient software to evaluate and quantify the tremendous amount of mass spectral data acquired during a proteomics project. A new software suite, ICPLQuant, has been developed to accurately quantify isotope‐coded protein label (ICPL)‐labeled peptides on the MS level during LC‐MALDI and peptide mass fingerprint experiments. The tool is able to generate a list of differentially regulated peptide precursors for subsequent MS/MS experiments, minimizing time‐consuming acquisition and interpretation of MS/MS data. ICPLQuant is based on two independent units. Unit 1 performs ICPL multiplex detection and quantification and proposes peptides to be identified by MS/MS. Unit 2 combines MASCOT MS/MS protein identification with the quantitative data and produces a protein/peptide list with all the relevant information accessible for further data mining. The accuracy of quantification, selection of peptides for MS/MS‐identification and the automated output of a protein list of regulated proteins are demonstrated by the comparative analysis of four different mixtures of three proteins (Ovalbumin, Horseradish Peroxidase and Rabbit Albumin) spiked into the complex protein background of the DGPF Proteome Marker.     

Power of positive thinking in quantitative proteomics

Derivatization of proteins with specific isotope reagents has been widely explored for quantitative proteomics where the relative abundances of proteins present in different complex samples are compared by MS. This represents an interesting arena for innovation, where protein chemistry and MS are associated for the best of both worlds. Among the numerous reagents developed, those that introduce a permanent positive charge, such as (N‐succinimidyloxycarbonylmethyl)‐tris(2,4,6‐trimethoxyphenyl)phosphonium bromide (TMPP), increase the ionizability of their targets and thus improve the sensitivity of the approach. TMPP labeling also modifies the hydrophobicity and changes the peptide fragmentation pattern. Because TMPP reacts preferably with the N‐termini of proteins and peptides, its use has been explored for proteogenomics and de novo protein sequencing. In this issue of Proteomics, Shen et al. (Proteomics 2015, 15, 2903–2909) show that accurate quantitation of proteins can be obtained with light/heavy TMPP‐labeling of peptides, which can be easily prepared and desalted in a homemade C8‐SCX‐C8 stagetip, and then monitored by nano‐LC‐MS/MS analysis. Their results demonstrate enhanced sequence coverage compared with other approaches. Combined with an efficient enrichment procedure, the higher sensitivity of this “positive attitude” reagent may facilitate much deeper investigations into the quantitative proteomics of complex samples.     

Evaluation of the accuracy of protein quantification using isotope TMPP‐labeled peptides

N‐succinimidyloxycarbonylmethyl tris(2,4,6‐trimethoxyphenyl) phosphonium bromide (TMPP‐Ac‐OSu) reacts rapidly, mildly, and specifically with the N‐terminals of proteins and peptides. Thus, it can be developed as an ideal isotope‐coded tag to be used in quantitative proteomics. Here, we present a strategy for light and heavy TMPP‐based quantitative proteomic analysis, in which peptides in a mixture can be quantified using an on‐tip TMPP derivatization approach. To demonstrate the accuracy of this strategy, light and heavy TMPP‐labeled peptides were combined at different ratios and subsequently analyzed by LC‐MS/MS. The MS spectra and scatter plots show that peptide and protein ratios were both consistent with the mixed ratios. We observed a linear correlation between protein ratios and the predicted ratios. In comparison with SILAC method, the TMPP labeling method produced similarly accurate quantitative results with low CVs. In conclusion, our results suggest that this isotope‐coded TMPP method achieved accurate quantification and compatibility with IEF‐based separation. With the inherent advantages of TMPP derivatization, we believe that it holds great promise for future applications in quantitative proteomics analysis.     

Strategy for surveying the proteome using affinity proteomics and mass spectrometry

Antibody‐based microarrays is a rapidly evolving technology that has gone from the first proof‐of‐concept studies to more demanding proteome profiling applications, during the last years. Miniaturized microarrays can be printed with large number of antibodies harbouring predetermined specificities, capable of targeting high‐ as well as low‐abundant analytes in complex, nonfractionated proteomes. Consequently, the resolution of such proteome profiling efforts correlate directly to the number of antibodies included, which today is a key limiting factor. To overcome this bottleneck and to be able to perform in‐depth global proteome surveys, we propose to interface affinity proteomics with MS‐based read‐out, as outlined in this technical perspective. Briefly, we have defined a range of peptide motifs, each motif being present in 5–100 different proteins. In this manner, 100 antibodies, binding 100 different motifs commonly distributed among different proteins, would potentially target a protein cluster of 10⁴ individual molecules, i.e. around 50% of the nonredundant human proteome. Notably, these motif‐specific antibodies would be directly applicable to any proteome in a specie independent manner and not biased towards abundant proteins or certain protein classes. The biological sample is digested, exposed to these immobilized antibodies, whereby motif‐containing peptides are specifically captured, enriched and subsequently detected and identified using MS.     

Absolute quantification of Dehalococcoides proteins: enzyme bioindicators of chlorinated ethene dehalorespiration

The quantification of trace proteins in complex environmental samples and mixed microbial communities would be a valuable monitoring tool in countless applications, including the bioremediation of groundwater contaminated with chlorinated solvents. Measuring the concentrations of specific proteins provides unique information about the activity and physiological state of organisms in a sample. We developed sensitive (< 5 fmol), selective bioindicator assays for the absolute quantification of select proteins used by Dehalococcoides spp. when reducing carbon atoms in the common pollutants trichloroethene (TCE) and tetrachloroethene (PCE). From complex whole‐sample digests of two different dechlorinating mixed communities, we monitored the chromatographic peaks of selected tryptic peptides chosen to represent 19 specific Dehalococcoides proteins. This was accomplished using multiple‐reaction monitoring (MRM) assays using nano‐liquid chromatography‐tandem mass spectrometry (nLC‐MS/MS), which provided the selectivity, sensitivity and reproducibility required to quantify Dehalococcoides proteins in complex samples. We observed reproducible peak areas (average CV = 0.14 over 4 days, n = 3) and linear responses in standard curves (n = 5, R² > 0.98) using synthetic peptide standards spiked into a background matrix of sediment peptides. We detected and quantified TCE reductive dehalogenase (TceA) at 7.6 ± 1.7 × 10³ proteins cell^?1 in the KB1^TM bioaugmentation culture, previously thought to be lacking TceA. Fragmentation data from MS/MS shotgun proteomics experiments were helpful in developing the MRM targets. Similar shotgun proteomics data are emerging in labs around the world for many environmentally relevant microbial proteins, and these data are a valuable resource for the future development of MRM assays. We expect targeted peptide quantification in environmental samples to be a useful tool in environmental monitoring.     

Rapid label‐free quantitative analysis of the E. coli BL21(DE3) inner membrane proteome

Biological membranes define cells and cellular compartments and are essential in regulating bidirectional flow of chemicals and signals. Characterizing their protein content therefore is required to determine their function, nevertheless, the comprehensive determination of membrane‐embedded sub‐proteomes remains challenging. Here, we experimentally characterized the inner membrane proteome (IMP) of the model organism E. coli BL21(DE3). We took advantage of the recent extensive re‐annotation of the theoretical E. coli IMP regarding the sub‐cellular localization of all its proteins. Using surface proteolysis of IMVs with variable chemical treatments followed by nanoLC‐MS/MS analysis, we experimentally identified ～45% of the expressed IMP in wild type E. coli BL21(DE3) with 242 proteins reported here for the first time. Using modified label‐free approaches we quantified 220 IM proteins. Finally, we compared protein levels between wild type cells and those over‐synthesizing the membrane‐embedded translocation channel SecYEG proteins. We propose that this proteomics pipeline will be generally applicable to the determination of IMP from other bacteria.     

Paraquat exposure and Sod2 knockdown have dissimilar impacts on the Drosophila melanogaster carbonylated protein proteome

Exposure to Paraquat and RNA interference knockdown of mitochondrial superoxide dismutase (Sod2) are known to result in significant lifespan reduction, locomotor dysfunction, and mitochondrial degeneration in Drosophila melanogaster. Both perturbations increase the flux of the progenitor ROS, superoxide, but the molecular underpinnings of the resulting phenotypes are poorly understood. Improved understanding of such processes could lead to advances in the treatment of numerous age‐related disorders. Superoxide toxicity can act through protein carbonylation. Analysis of carbonylated proteins is attractive since carbonyl groups are not present in the 20 canonical amino acids and are amenable to labeling and enrichment strategies. Here, carbonylated proteins were labeled with biotin hydrazide and enriched on streptavidin beads. On‐bead digestion was used to release carbonylated protein peptides, with relative abundance ratios versus controls obtained using the iTRAQ MS‐based proteomics approach. Western blotting and biotin quantitation assay approaches were also investigated. By both Western blotting and proteomics, Paraquat exposure, but not Sod2 knockdown, resulted in increased carbonylated protein relative abundance. For Paraquat exposure versus control, the median carbonylated protein relative abundance ratio (1.53) determined using MS‐based proteomics was in good agreement with that obtained using a commercial biotin quantitation kit (1.36).