Expression and Function of Proteins during Development of the Basal Region in Rice Seedlings

Physiological and Multi-Omics Approaches for Explaining Drought Stress Tolerance and Supporting Sustainable Production of Rice

Drought differs from other natural disasters in several respects, largely because of the complexity of a crop's response to it and also because we have the least understanding of a crop's inductive mechanism for addressing drought tolerance among all abiotic stressors. Overall, the growth and productivity of crops at a global level is now thought to be an issue that is more severe and arises more frequently due to climatic change-induced drought stress. Among the major crops, rice is a frontline staple cereal crop of the developing world and is critical to sustaining populations on a daily basis. Worldwide, studies have reported a reduction in rice productivity over the years as a consequence of drought. Plants are evolutionarily primed to withstand a substantial number of environmental cues by undergoing a wide range of changes at the molecular level, involving gene, protein and metabolite interactions to protect the growing plant. Currently, an in-depth, precise and systemic understanding of fundamental biological and cellular mechanisms activated by crop plants during stress is accomplished by an umbrella of -omics technologies, such as transcriptomics, metabolomics and proteomics. This combination of multi-omics approaches provides a comprehensive understanding of cellular dynamics during drought or other stress conditions in comparison to a single -omics approach. Thus a greater need to utilize information (big-omics data) from various molecular pathways to develop drought-resilient crop varieties for cultivation in ever-changing climatic conditions. This review article is focused on assembling current peer-reviewed published knowledge on the use of multi-omics approaches toward expediting the development of drought-tolerant rice plants for sustainable rice production and realizing global food security.

Proteomic and Biochemical Analyses of the Mechanism of Tolerance in Mutant Soybean Responding to Flooding Stress

To investigate the mechanism of flooding tolerance of soybean, flooding-tolerant mutants derived from gamma-ray irradiated soybean were crossed with parent cultivar Enrei for removal of other factors besides the genes related to flooding tolerance in primary generated mutant soybean. Although the growth of the wild type was significantly suppressed by flooding compared with the non-flooding condition, that of the mutant lines was better than that of the wild type even if it was treated with flooding. A two-day-old mutant line was subjected to flooding for 2 days and proteins were analyzed using a gel-free/label-free proteomic technique. Oppositely changed proteins in abundance between the wild type and mutant line under flooding stress were associated in endoplasmic reticulum according to gene-ontology categorization. Immunoblot analysis confirmed that calnexin accumulation increased in both the wild type and mutant line; however, calreticulin accumulated in only the mutant line under flooding stress. Furthermore, although glycoproteins in the wild type decreased by flooding compared with the non-flooding condition, those in the mutant line increased even if it was under flooding stress. Alcohol dehydrogenase accumulated in the wild type and mutant line; however, this enzyme activity significantly increased and mildly increased in the wild type and mutant line, respectively, under flooding stress compared with the non-flooding condition. Cell death increased and decreased in the wild type and mutant line, respectively, by flooding stress. These results suggest that the regulation of cell death through the fermentation system and glycoprotein folding might be an important factor for the acquisition of flooding tolerance in mutant soybean.

Proteomics, physiological, and biochemical analysis of cross tolerance mechanisms in response to heat and water stresses in soybean

Water stress (WS) and heat stress (HS) have a negative effect on soybean plant growth and crop productivity. Changes in the physiological characteristics, proteome, and specific metabolites investigated on molecular and cellular functions were studied in two soybean cultivars exposed to different heat and water stress conditions independently and in combination. Leaf protein composition was studied using 2-DE and complemented with MALDI TOF mass spectrometry. While the two cultivars displayed genetic variation in response to water and heat stress, thirty-nine proteins were significantly altered in their relative abundance in response to WS, HS and combined WS+HS in both cultivars. A majority of these proteins were involved in metabolism, response to heat and photosynthesis showing significant cross-tolerance mechanisms. This study revealed that MED37C, a probable mediator of RNA polymerase transcription II protein, has potential interacting partners in Arabidopsis and signified the marked impact of this on the PI-471938 cultivar. Elevated activities in antioxidant enzymes indicate that the PI-471938 cultivar can restore the oxidation levels and sustain the plant during the stress. The discovery of this plant's development of cross-stress tolerance could be used as a guide to foster ongoing genetic modifications in stress tolerance.

Integration of gel-based and gel-free proteomic data for functional analysis of proteins through Soybean Proteome Database

The Soybean Proteome Database (SPD) stores data on soybean proteins obtained with gel-based and gel-free proteomic techniques. The database was constructed to provide information on proteins for functional analyses. The majority of the data is focused on soybean (Glycine max 'Enrei'). The growth and yield of soybean are strongly affected by environmental stresses such as flooding. The database was originally constructed using data on soybean proteins separated by two-dimensional polyacrylamide gel electrophoresis, which is a gel-based proteomic technique. Since 2015, the database has been expanded to incorporate data obtained by label-free mass spectrometry-based quantitative proteomics, which is a gel-free proteomic technique. Here, the portions of the database consisting of gel-free proteomic data are described. The gel-free proteomic database contains 39,212 proteins identified in 63 sample sets, such as temporal and organ-specific samples of soybean plants grown under flooding stress or non-stressed conditions. In addition, data on organellar proteins identified in mitochondria, nuclei, and endoplasmic reticulum are stored. Furthermore, the database integrates multiple omics data such as genomics, transcriptomics, metabolomics, and proteomics. The SPD database is accessible at http://proteome.dc.affrc.go.jp/Soybean/.

BIOLOGICAL SIGNIFICANCE

The Soybean Proteome Database stores data obtained from both gel-based and gel-free proteomic techniques. The gel-free proteomic database comprises 39,212 proteins identified in 63 sample sets, such as different organs of soybean plants grown under flooding stress or non-stressed conditions in a time-dependent manner. In addition, organellar proteins identified in mitochondria, nuclei, and endoplasmic reticulum are stored in the gel-free proteomics database. A total of 44,704 proteins, including 5490 proteins identified using a gel-based proteomic technique, are stored in the SPD. It accounts for approximately 80% of all predicted proteins from genome sequences, though there are over lapped proteins. Based on the demonstrated application of data stored in the database for functional analyses, it is suggested that these data will be useful for analyses of biological mechanisms in soybean. Furthermore, coupled with recent advances in information and communication technology, the usefulness of this database would increase in the analyses of biological mechanisms.

Proteomic analysis of soybean root exposed to varying sizes of silver nanoparticles under flooding stress

Silver nanoparticles (Ag-NPs) are excessively used as antibacterial agents; however, environmental interaction specifically with the plants remain uncertain. To study the size-dependent effects of Ag-NPs on soybean under flooding, a proteomic technique was used. Morphological analysis revealed that treatment with Ag-NPs of 15nm promoted soybean growth under flooding compared to 2 and 50-80nm. A total of 228 common proteins that significantly changed in abundance under flooding without and with Ag-NPs of 2, 15, and 50-80nm. Under varying sizes of Ag-NPs, number of protein synthesis related proteins decreased compared to flooding while number of amino acid synthesis related proteins were increased under Ag-NPs of 15nm. Hierarchical clustering identified the ribosomal proteins that increased under Ag-NPs of 15nm while decreased under other sizes. In silico protein-protein interaction indicated the beta ketoacyl reducatse 1 as the most interacted protein under Ag-NPs of 15nm while least interacted under other sizes. The beta ketoacyl reductase 1 was up-regulated under Ag-NPs of 15nm while its enzyme activity was decreased. These results suggest that the different sizes of Ag-NPs might affect the soybean growth under flooding by regulating the proteins related to amino acid synthesis and wax formation.

BIOLOGICAL SIGNIFICANCE

This study highlighted the response of soybean proteins towards varying sizes of Ag NPs under flooding stress using gel-free proteomic technique. The Ag NPs of 15nm improved the length of root including hypocotyl of soybean. The proteins related to protein metabolism, cell division/organization, and amino acid metabolism were differentially changed under the varying sizes of Ag NPs. The protein synthesis-related proteins were decreased while amino acid metabolism-related proteins were increased under varying sizes of Ag NPs. The ribosomal proteins were increased under Ag NPs of 15nm. The beta ketoacyl reductase 1 was identified as the most interacted protein under varying sizes of Ag NPs. The mRNA expression level of beta ketoacyl reductase was up-regulated under Ag NPs of 15nm while its activity was decreased. These results suggest that the Ag NPs of 15nm improved the soybean growth under flooding stress by increasing the proteins related to amino acid synthesis and waxes formation.

Quantitative proteomic analysis of post-flooding recovery in soybean root exposed to aluminum oxide nanoparticles

Aluminum oxide nanoparticles (Al2O3 NPs) are used in various commercial and agricultural products. Soybean exhibits severe reduction in growth under flooding condition. To examine the effects of Al2O3 NPs on the recovery of soybean from flooding, proteomic analysis was performed. Survival percentage and weight/length of root including hypocotyl were improved after 2 and 4days of flooding with 50ppm Al2O3 NPs leading to recovery as compared to flooding. A total of 211 common proteins were changed in abundance during the recovery period after treatment without or with Al2O3 NPs. These proteins were related to protein synthesis, stress, cell wall, and signaling. Among the identified stress-related proteins, S-adenosyl-l-methionine dependent methyltransferases were recovered from flooding with Al2O3 NPs. Hierarchical clustering divided the identified proteins into three clusters. Cluster II exhibited the greatest change in proteins related to protein synthesis, transport, and development during the recovery from flooding with Al2O3 NPs. However, activity of enolase remained unchanged during flooding leading to subsequent recovery with Al2O3 NPs. These results suggest that S-adenosyl-l-methionine dependent methyltransferases and enolase might be involved in mediating recovery responses by Al2O3 NPs.

BIOLOGICAL SIGNIFICANCE

This study highlighted the role of Al2O3 NPs in recovery of soybean seedlings from flooding stress using gel-free proteomic technique. The key findings of this study are as follows: (i) survival percentage was enhanced at 50ppm Al2O3 NPs during the recovery stage; (ii) seedling weight and weight/length of root including hypocotyl improved at 50ppm Al2O3 NPs during the period of recovery; (iii) protein synthesis and stress related proteins were increased on recovery after flooding without or with Al2O3 NPs; (iv) the abundance of S-adenosyl-l-methionine dependent methyltransferases recovered from flooding with Al2O3 NPs; (v) glycolysis related proteins amplified under flooding with Al2O3 NPs; (vi) enolase enzyme remained unchanged during flooding leading to subsequent recovery from flooding with Al2O3 NPs. Collectively, these results suggest that S-adenosyl-l-methionine dependent methyltransferases and enolase are involved in response to flooding with Al2O3 NPs and might be helpful in recovery from flooding stress.

Gel-free/label-free proteomic analysis of root tip of soybean over time under flooding and drought stresses

Growth in the early stage of soybean is markedly inhibited under flooding and drought stresses. To explore the responsive mechanisms of soybean, temporal protein profiles of root tip under flooding and drought stresses were analyzed using gel-free/label-free proteomic technique. Root tip was analyzed because it was the most sensitive organ against flooding, and it was beneficial to root penetration under drought. UDP glucose: glycoprotein glucosyltransferase was decreased and increased in soybean root under flooding and drought, respectively. Temporal protein profiles indicated that fermentation and protein synthesis/degradation were essential in root tip under flooding and drought, respectively. In silico protein-protein interaction analysis revealed that the inductive and suppressive interactions between S-adenosylmethionine synthetase family protein and B-S glucosidase 44 under flooding and drought, respectively, which are related to carbohydrate metabolism. Furthermore, biotin/lipoyl attachment domain containing protein and Class II aminoacyl tRNA/biotin synthetases superfamily protein were repressed in the root tip during time-course stresses. These results suggest that biotin and biotinylation might be involved in energy management to cope with flooding and drought in early stage of soybean-root tip.

Proteomic analysis of flooded soybean root exposed to aluminum oxide nanoparticles

Aluminum oxide (Al2O3) nanoparticles are used in agricultural products and cause various adverse growth effects on different plant species. To study the effects of Al2O3 nanoparticles on soybean under flooding stress, a gel-free proteomic technique was used. Morphological analysis revealed that treatment with 50 ppm Al2O3 nanoparticles under flooding stress enhanced soybean growth compared to ZnO and Ag nanoparticles. A total of 172 common proteins that significantly changed in abundance among control, flooding-stressed, and flooding-stressed soybean treated with Al2O3 nanoparticles were mainly related to energy metabolism. Under Al2O3 nanoparticles the energy metabolism was decreased compared to flooding stress. Hierarchical clustering divided identified proteins into four clusters, with proteins related to glycolysis exhibiting the greatest changes in abundance. Al2O3 nanoparticle-responsive proteins were predominantly related to protein synthesis/degradation, glycolysis, and lipid metabolism. mRNA expression analysis of Al2O3 nanoparticle-responsive proteins that displayed a 5-fold change in abundance revealed that NmrA-like negative transcriptional regulator was up-regulated, and flavodoxin-like quinone reductase was down-regulated. Moreover, cell death in root including hypocotyl was less evident in flooding-stressed with Al2O3 nanoparticles compared to flooding-treated soybean. These results suggest that Al2O3 nanoparticles might promote the growth of soybean under flooding stress by regulating energy metabolism and cell death.

Gel-free quantitative proteomic approach to identify cotyledon proteins in soybean under flooding stress

Flooding stress causes growth inhibition and ultimately death in most crop species by limiting of energy production. To better understand plant responses to flooding stress, here, flooding-responsive proteins in the cotyledons of soybean were identified using a gel-free quantitative proteomic approach. One hundred forty six proteins were commonly observed in both control and flooding-stressed plants, and 19 were identified under only flooding stress conditions. The main functional categories were protein and development-related proteins. Protein-protein interaction analysis revealed that zincin-like metalloprotease and cupin family proteins were found to highly interact with other proteins under flooding stress. Plant stearoyl acyl-carrier protein, ascorbate peroxidase 1, and secretion-associated RAS superfamily 2 were down-regulated, whereas ferretin 1 was up-regulated at the transcription level. Notably, the levels of all corresponding proteins were decreased, indicating that mRNA translation to proteins is impaired under flooding conditions. Decreased levels of ferritin may lead to a strong deregulation of the expression of several metal transporter genes and over-accumulation of iron, which led to increased levels of reactive oxygen species, resulting to detoxification of these reactive species. Taken together, these results suggest that ferritin might have an essential role in protecting plant cells against oxidative damage under flooding conditions.

BIOLOGICAL SIGNIFICANCE

This study reported the comparative proteomic analysis of cotyledon of soybean plants between non-flooding and flooding conditions using the gel-free quantitative techniques. Mass spectrometry analysis of the proteins from cotyledon resulted in the identification of a total of 165 proteins under flooding stress. These proteins were assigned to different functional categories, such as protein, development, stress, redox, and glycolysis. Therefore, this study provides not only the comparative proteomic analysis but also the molecular mechanism underlying the flooding responsive protein functions in the cotyledon.

Quantitative proteomics reveals that peroxidases play key roles in post-flooding recovery in soybean roots

Soybean is an important legume crop that exhibits markedly reduced growth and yields under flooding conditions. To unravel the mechanisms involved in recovery after flooding in soybean root, gel-free proteomic analysis was performed. Morphological analysis revealed that growth suppression was more severe with increased flooding duration. Out of a total of 1645 and 1707 identified proteins, 73 and 21 proteins were changed significantly during the recovery stage following 2 and 4 days flooding, respectively. Based on the proteomic, clustering, and in silico protein-protein interaction analyses, six key enzymes were analyzed at the mRNA level. Lipoxygenase 1, which was increased at the protein level during the recovery period, was steadily down-regulated at the mRNA level. The peroxidase superfamily protein continuously increased in abundance during the course of recovery and was up-regulated at the mRNA level. HAD acid phosphatase was decreased at the protein level and down-regulated at the transcript level, while isoflavone reductase and an unknown protein were increased at both the protein and mRNA levels. Consistent with these findings, the enzymatic activity of peroxidase was decreased under flooding stress but increased significantly during the recovery sage. These results suggest that peroxidases might play key roles in post-flooding recovery in soybean roots through the scavenging of toxic radicals.

Phosphoproteomics reveals the effect of ethylene in soybean root under flooding stress

Flooding has severe negative effects on soybean growth. To explore the flooding-responsive mechanisms in early-stage soybean, a phosphoproteomic approach was used. Two-day-old soybean plants were treated without or with flooding for 3, 6, 12, and 24 h, and root tip proteins were then extracted and analyzed at each time point. After 3 h of flooding exposure, the fresh weight of soybeans increased, whereas the ATP content of soybean root tips decreased. Using a gel-free proteomic technique, a total of 114 phosphoproteins were identified in the root tip samples, and 34 of the phosphoproteins were significantly changed with respect to phosphorylation status after 3 h of flooding stress. Among these phosphoproteins, eukaryotic translation initiation factors were dephosphorylated, whereas several protein synthesis-related proteins were phosphorylated. The mRNA expression levels of sucrose phosphate synthase 1F and eukaryotic translation initiation factor 4 G were down-regulated, whereas UDP-glucose 6-dehydrogenase mRNA expression was up-regulated during growth but down-regulated under flooding stress. Furthermore, bioinformatic protein interaction analysis of flooding-responsive proteins based on temporal phosphorylation patterns indicated that eukaryotic translation initiation factor 4 G was located in the center of the network during flooding. Soybean eukaryotic translation initiation factor 4 G has homology to programmed cell death 4 protein and is implicated in ethylene signaling. The weight of soybeans was increased with treatment by an ethylene-releasing agent under flooding condition, but it was decreased when plants were exposed to an ethylene receptor antagonist. These results suggest that the ethylene signaling pathway plays an important role, via the protein phosphorylation, in mechanisms of plant tolerance to the initial stages of flooding stress in soybean root tips.

Analysis of initial changes in the proteins of soybean root tip under flooding stress using gel-free and gel-based proteomic techniques

Flooding has a severe negative effect on soybean cultivation in the early stages of growth. To obtain a better understanding of the response mechanisms of soybean to flooding stress, initial changes in root tip proteins under flooding were analyzed using two proteomic techniques. Two-day-old soybeans were treated with flooding for 3, 6, 12, and 24h. The weight of soybeans increased during the first 3h of flooding, but root elongation was not observed. Using gel-based and gel-free proteomic techniques, 115 proteins were identified in root tips, of which 9 proteins were commonly detected by both methods. The 71 proteins identified by the gel-free proteomics were analyzed by a hierarchical clustering method based on induction levels during the flooding, and the proteins were divided into 5 clusters. Additional interaction analysis of the proteins revealed that ten proteins belonging to cluster I formed the center of a protein interaction network. mRNA expression analysis of these ten proteins showed that citrate lyase and heat shock protein 70 were down-regulated, whereas calreticulin was up-regulated in initial phase of flooding. These results suggest that flooding stress to soybean induces calcium-related signal transduction, which might play important roles in the early responses to flooding.

BIOLOGICAL SIGNIFICANCE

Flooding has a severe negative effect on soybean cultivation, particularly in the early stages of growth. To better understand the response mechanisms of soybean to the early stages of flooding stress, two proteomic techniques were used. Two-day-old soybeans were treated without or with flooding for 3, 6, 12, and 24h. The fresh weight of soybeans increased during the first 3h of flooding stress, but the growth then slowed and no root elongation was observed. Using gel-based and gel-free proteomic techniques, 115 proteins were identified in root tips, of which 9 proteins were commonly detected by both methods. The 71 proteins identified by the gel-free proteomics were analyzed by a hierarchical clustering method based on induction levels during the flooding stress, and 5 protein clusters were recognized. Protein interaction analysis revealed that ten proteins belonging to cluster I formed the center of a protein interaction network. mRNA expression analysis of these ten proteins showed that citrate lyase and heat shock protein 70 were down-regulated in response to flooding stress, whereas calreticulin was up-regulated. These results suggest that flooding stress to soybean induces calcium-related signal transduction, which might play important roles in the early responses to flooding.

Quantitative proteomics reveals the role of protein phosphorylation in rice embryos during early stages of germination

Seed germination begins with water uptake and ends with radicle emergence. A gel-free phosphoproteomic technique was used to investigate the role of protein phosphorylation events in the early stages of rice seed germination. Both seed weight and ATP content increased gradually during the first 24 h following imbibition. Proteomic analysis indicated that carbohydrate metabolism- and protein synthesis/degradation-related proteins were predominantly increased and displayed temporal patterns of expression. Analyses of cluster and protein-protein interactions indicated that the regulation of sucrose synthases and alpha-amylases was the central event controlling germination. Phosphoproteomic analysis identified several proteins involved in protein modification and transcriptional regulation that exhibited significantly temporal changes in phosphorylation levels during germination. Cluster analysis indicated that 12 protein modification-related proteins had a peak abundance of phosphoproteins at 12 h after imbibition. These results suggest that the first 12 h following imbibition is a potentially important signal transduction phase for the initiation of rice seed germination. Three core components involved in brassinosteroid signal transduction displayed significant increases in phosphoprotein abundance during the early stages of germination. Brassinolide treatment increased the rice seed germination rate but not the rate of embryonic axis elongation. These findings suggest that brassinosteroid signal transduction likely triggers seed germination.

Genetic, proteomic and metabolic analysis of the regulation of energy storage in rice seedlings in response to drought

We used proteomic analysis to determine the response of rice plant seedlings to drought-induced stress. The expression of 71 protein spots was significantly altered, and 60 spots were successfully identified. The greatest down-regulated protein functional category was translation. Up-regulated proteins were mainly related to protein folding and assembly. Additionally, many proteins involved in metabolism (e.g. carbohydrate metabolism) also showed differences in expression. cDNA microarray and GC-MS analysis showed 4756 differentially expressed mRNAs and 37 differentially expressed metabolites. Once these data were integrated with the proteomic analysis, we were able to elucidate the metabolic pathways affected by drought-induced stress. These results suggest that increased energy consumption from storage substances occurred during drought. In addition, increased expression of the enzymes involved in anabolic pathways corresponded with an increase in the content of six amino acids. We speculated that energy conversion from carbohydrates and/or fatty acids to amino acids was increased. Analysis of basic metabolism networks allowed us to understand how rice plants adjust to drought conditions.

Proteomics approach for identifying osmotic-stress-related proteins in soybean roots

Osmotic stress can endanger the survival of plants. To investigate the mechanisms by which plants respond to osmotic stress, protein profiles from soybean plants treated with polyethylene glycol (PEG) were monitored by a proteomics approach. Treatment with 10% aqueous PEG reduced the lengths of roots and hypocotyls of soybean seedlings. Proteins from soybean roots were separated by two-dimensional polyacrylamide gel electrophoresis, and 415 proteins were detected by Coomassie brilliant blue staining. Thirty-seven proteins changed by PEG treatment were analyzed using Edman sequencing and peptide-mass fingerprinting method and this group included proteins involved in disease/defense. Seven proteins were selected for further experiments using the results of cluster analysis and statistical analysis of the abundance change. A comparison with the effects of other abiotic stresses showed that caffeoyl-CoA-O-methyltransferase and 20S proteasome alpha subunit A were decreased and increased by abiotic stresses, respectively. Expression analyses of these transcripts were also changed by PEG treatment. Caffeoyl-CoA-O-methyltransferase and 20S proteasome alpha subunit A may control the sensitivity of several regulatory genes specific to short exposure to osmotic stress.

A comprehensive analysis of the soybean genes and proteins expressed under flooding stress using transcriptome and proteome techniques

The inducible genes and proteins were analyzed using transcriptome and proteome techniques to explore the mechanisms underlying soybean response to flooding stress. Soybean seedlings were germinated for 2 days and subjected to flooding for 12 h, and the total RNAs and proteins were extracted from the root and hypocotyl. High-coverage gene expression profiling analysis as transcriptome technique was performed. Ninety-seven out of the 29,388 peaks observed demonstrated a greater than 25-fold change following 12 h of flood-induced stress. Furthermore, 34 proteins out of 799 proteins were changed by 12 h stress. Genes associated with alcohol fermentation, ethylene biosynthesis, pathogen defense, and cell wall loosening were significantly up-regulated. Hemoglobin, acid phosphatase, and Kunitz trypsin protease inhibitor were altered at both transcriptional and translational levels. Reactive oxygen species scavengers and chaperons were changed only at the translational level. It is suggested that the early response of soybean under flooding might be important stress adaptation to ensure survival against not only hypoxia but also the direct damage of cell by water.

Phosphoproteome study reveals Hsp27 as a novel signaling molecule involved in GDNF-induced neurite outgrowth

Glial-cell-line-derived neurotrophic factor (GDNF) is a most potent survival factor for dopaminergic neurons. In addition, GDNF was also found to promote neurite outgrowth in dopaminergic neurons. However, despite the potential clinical and physiological importance of GDNF, its mechanism of action is unclear. Therefore, we employed a state-of-the-art proteomic technique, DIGE (Difference in two-dimensional gel electrophoresis), to quantitatively compare profiles of phosphoproteins of PC12-GFRalpha1-RET cells (that stably overexpress GDNF receptor alpha1 and RET) 0.5 and 10 h after GDNF challenge with control. A total of 92 differentially expressed proteins were successfully identified by mass spectrometry. Among them, the relative levels of phosphorylated Hsp27 increased significantly both in 0.5 and 10 h GDNF-treated PC12-GFRalpha1-RET cells. Confocal microscopy and Western blot results showed that the phosphorylation of Hsp27 after GDNF treatment was accompanied by its nuclear translocation. After the mRNA of Hsp27 was interfered, neurite outgrowth of PC12-GFRalpha1-RET cells induced by GDNF was significantly blocked. Furthermore, the percentage of neurite outgrowth induced by GDNF was also reduced by the expression of dominant-negative mutants of Hsp27, in which specific serine phosphorylation residues (Ser15, Ser78 and Ser82) were substituted with alanine. Our data also revealed that p38 MAPK and ERK are the upstream regulators of Hsp27 phosphorylation. Hence, in addition to the numerous novel proteins that are potentially important in GDNF mediated differentiation of dopaminergic cells revealed by our study, our data has indicated that Hsp27 is a novel signaling molecule involved in GDNF-induced neurite outgrowth of dopaminergic neurons.

Proteome analysis of early-stage soybean seedlings under flooding stress

Proteomic analyses of soybean seedlings responding to flooding were conducted to identify proteins involved in such response. Soybean was germinated for 48 h and then subjected to flooding stress for 6-48 h. Proteomic analysis of hypocotyl and root was used in a time-dependent manner, and altered proteins were identified using soybean protein data file constructed for this research. Under flooding stress, 35 proteins were up-regulated, whereas 16 proteins were down-regulated at a 24-h time point. Changes in energy generation was recognized because several glycolytic enzymes were up-regulated. General stress response was also shown to occur as various reactive oxygen species scavengers were up-regulated. Other identified proteins with diverse functional categories suggest that flooding stress includes not only hypoxic stress, but also other stresses such as weak light, disease, and water stresses. In addition, proteins with unknown functions were shown to be positioned as hubs which activate other proteins in system response networks by protein-protein interaction analysis, suggesting that this type of interaction analysis is useful for screening of important factors in plant response to environmental stresses.

Gibberellin-regulated gene in the basal region of rice leaf sheath encodes basic helix-loop-helix transcription factor

Genes regulated by gibberellin (GA) during leaf sheath elongation in rice seedlings were identified using the transcriptome approach. mRNA from the basal regions of leaf sheaths treated with GA3 was analyzed by high-coverage gene expression profiling. 33,004 peaks were detected, and 30 transcripts showed significant changes in the presence of GA3. Among these, basic helix-loop-helix transcription factor (AK073385) was significantly upregulated. Quantitative PCR analysis confirmed that expression of AK073385 was controlled by GA3 in a time- and dose-dependent manner. Basic helix-loop-helix transcription factor (AK073385) is therefore involved in the regulation of gene expression by GA3.

Identification of Tumor-Associated Proteins in Well Differentiated Laryngeal Squamous Cell Carcinoma by Proteomics

Introduction

This study established two-dimensional gel electrophoresis (2-DE) profiles for human well-differentiated laryngeal squamous cell carcinoma tissue and paired normal mucosa epithelia tissue and identified proteins with different expressions. Well-resolved and reproducible 2-DE patterns of well-differentiated laryngeal squamous cell carcinoma and adjacent normal mucosa were obtained.

Results

Thirteen proteins were preliminarily identified, among which ten proteins including cofilin-1, nuclear body protein SP140, GRP94, HSP 90, GSTP1-1, superoxide dismutase [Mn], cyclophilin A, proteasome activator complex subunit 2, apolipoprotein A-I precursor, and CaM-like protein were upregulated and three proteins including fatty acid-binding protein (E-FABP), calgranulin A, and calgranulin B were downregulated in laryngeal cancer tissue. The different expressions of cyclophilin A and MRP8 were confirmed by Western blotting.

Discussion

We first identified 13 proteins that might be associated with the tumorigenesis of the laryngeal squamous cell carcinoma. Some proteins were the products of oncogenes and apoptosis and others were related to signal transduction and immune defense. These extensive protein variations indicated that multiple protein molecules were simultaneously involved in the oncogenesis of laryngeal cancer, which in turn is a basis for the rational designs of diagnostic and therapeutic methods.

Nano scale proteomics revealed the presence of regulatory proteins including three FT-Like proteins in phloem and xylem saps from rice

The main physiological roles of phloem and xylem in higher plants involve the transport of water, nutrients and metabolites. They are also involved, however, in whole plant events including stress responses and long-distance signaling. Phloem and xylem saps therefore include a variety of proteins. In this study, we have performed a shotgun analysis of the proteome of phloem and xylem saps from rice, taking advantage of the complete and available genomic information for this plant. Xylem sap was prepared using the root pressure method, whereas phloem sap was prepared with a unique method with the assistance of planthoppers to ensure the robustness of the detected proteins. The technical difficulties caused by the very limited availability of rice samples were overcome by the use of nano-flow liquid chromatography linked to a mass spectrometer. We identified 118 different proteins and eight different peptides in xylem sap, and 107 different proteins and five different peptides in phloem sap. Signal transduction proteins, putative transcription factors and stress response factors as well as metabolic enzymes were identified in these saps. Interestingly, we found the presence of three TERMINAL FLOWER 1/FLOWERING LOCUS T (FT)-like proteins in phloem sap. The detected FT-like proteins were not rice Hd3a (OsFTL2) itself that acted as a non-cell-autonomous signal for flowering control, but they were members of distinct subfamilies of the FT family with differential expression patterns. These results imply that proteomics on a nano scale is a potent tool for investigation of biological processes in plants.

Proteomic analysis of reactive oxygen species (ROS)-related proteins in rice roots

To investigate the rice root proteome, we applied the PEG fractionation technique combined with two-dimensional gel electrophoresis which rendered more well-separated protein spots. Out of the 295 chosen proteins, 93 were identified by MALDI-TOF mass spectrometry. The proteins were classified as relating to metabolism (38.7%), reactive oxygen species (ROS)-related proteins (22.5%), protein processing/degradation (8.6%), stress/defense (7.5%), energy (6.5%) and signal transduction (5.4%). The high percentage of ROS-related proteins found in rice root brings us to assess the roles of ROS on rice root growth. Treatment with ROS quenching chemicals such as reduced glutathione (GSH), diphenyleneiodonium (DPI) and ascorbate inhibited root growth dose-dependently. Forty-nine proteins identified were either up- or down-regulated by GSH treatment, of which 14 were ROS-related proteins, such noticeably modulated ones as glutathione-S-transferase (GST), superoxide dismutases (SOD) and L-ascorbate peroxidases. The protein levels of four GSTs (NS4, 8, 56 and 57), three APXs (NS46, 49 and 50) and MnSOD (NS45) were strongly reduced by GSH treatment but slightly reduced by ascorbate and DPI. Ascorbate and DPI strongly inhibited expression levels of a catalase A (NP23) and an APX (NS65) but did not affect APXs (NS46, 49 and 50) protein levels. Northern analysis demonstrated that changes in transcript levels of five genes--GST (NS4), GST (NS43), Mn-SOD (NS45), APX (NS50) and APX (NS46/49) in response to ROS quenching chemicals were coherent with patterns shown in two-dimensional electrophoresis analyses. Taken together, we suggest that these proteins may take part in an important role in maintaining cellular redox homeostasis during rice root growth.

Identification and characterization of a gibberellin-regulated protein, which is ASR5, in the basal region of rice leaf sheaths

Gibberellins (GAs) regulate growth and development in higher plants. To identify GA-regulated proteins during rice leaf sheath elongation, a proteomic approach was used. Proteins from the basal region of leaf sheath in rice seedling treated with GA(3) were analyzed by fluorescence two-dimensional difference gel electrophoresis. The levels of abscisic acid-stress-ripening-inducible 5 protein (ASR5), elongation factor-1 beta, translationally controlled tumor protein, fructose-bisphosphate aldolase and a novel protein increased; whereas the level of RuBisCO subunit binding-protein decreased by GA(3) treatment. ASR5 out of these six proteins was significantly regulated by GA(3) at the protein level but not at the mRNA level in the basal region of leaf sheaths. Since this protein is regulated not only by abscisic acid but also by GA(3), these results indicate that ASR5 might be involved in plant growth in addition to stress in the basal regions of leaf sheaths.

Proteomic analysis of rice plasma membrane reveals proteins involved in early defense response to bacterial blight

Plant plasma membrane (PM) proteins play important roles in signal transduction during defense response to an attacking pathogen. By using an improved method of PM protein preparation and PM-bound green fluorescent protein fusion protein as a visible marker, we conducted PM proteomic analysis of the rice suspension cells expressing the disease resistance gene Xa21, to identify PM components involved in the early defense response to bacterial blight (Xanthomonas oryzae pv. oryzae). A total of 20 regulated protein spots were observed on 2-D gels of PM fractions at 12 and 24 h after pathogen inoculation, of which some were differentially regulated between the incompatible and compatible interactions mediated by Xa21, with good correlation between biological repeats. Eleven protein spots with predicted functions in plant defense were identified by MS/MS, including nine putative PM-associated proteins H+-ATPase, protein phosphatase, hypersensitive-induced response protein (OsHIR1), prohibitin (OsPHB2), zinc finger and C2 domain protein, universal stress protein (USP), and heat shock protein. OsHIR1 was modified by the microbial challenge, leading to two differentially accumulated protein spots. Transcript analysis showed that most of the genes were also regulated at transcriptional levels. Our study would provide a starting point for functionality of PM proteins in the rice defense.

Neurogenesis and major depression: implications from proteomic analyses of hippocampal proteins in a rat depression model

Major depression is one of the most disabling disorders. Yet, the pathogenesis of this mental disorder is poorly understood. Hippocampus is generally believed to be associated with pathogenesis of depression. In this study, we adopted a proteomic approach to examine possible alterations of protein expression in the hippocampus of a rat depression model. Our results suggest that neurogenesis in hippocampus may play an important role in the pathogenesis of major depression.

A comparative proteome and phosphoproteome analysis of differentially regulated proteins during fertilization in the self-incompatible speciesSolanum chacoense Bitt

We have used 2-DE for a time-course study of the changes in protein and phosphoprotein expression that occur immediately after fertilization in Solanum chacoense. The phosphorylation status of the detected proteins was determined with three methods: in vivo labeling, immunodetection, and phosphoprotein-specific staining. Using a pI range of 4-7, 262 phosphorylated proteins could be mapped to the 619 proteins detected by Sypro Ruby staining, representing 42% of the total proteins. Among these phosphoproteins, antibodies detected 184 proteins from which 78 were also detected with either of the other two methods (42%). Pro-Q Diamond phosphoprotein stain detected 111 proteins, of which 76 were also detected with either of the other two methods (68%). The 32P in vivo labeling method detected 90 spots from which 78 were also detected with either of other two methods (87%). On comparing before and after fertilization profiles, 38 proteins and phosphoproteins presented a reproducible change in their accumulation profiles. Among these, 24 spots were selected and analyzed by LC-MS/MS using a hybrid quadrupole-TOF (Q-TOF) instrument. Peptide data were searched against publicly available protein and EST databases, and the putative roles of the identified proteins in early fertilization events are discussed.

Rejuvenating rice proteomics: Facts, challenges, and visions

Proteomics is progressing at an unprecedented pace, as can be exemplified by the progress in model organisms such as yeast, bacteria, and mammals. Proteomics research in plants, however, has not progressed at the same pace. Unscrambling of the genome sequences of the dicotyledoneous Arabidopsis thaliana (L.) and monocotyledoneous rice (Oryza sativa L.) plant species, respectively, has made them accessible reference organisms to study plant proteomics. Study of these two reference plants is expected to unravel the mystery of plant biology. Rice, a critically important food crop on the earth, has been termed a "cornerstone" and the "Rosetta stone" for functional genomics of cereal crops. Here, we look at the progress in unraveling rice proteomes and present the facts, challenges, and vision. The text is divided into two major parts: the first part presents the facts and the second part discusses the challenges and vision. The facts include the technology and its use in developing proteomes, which have been critically and constructively reviewed. The challenges and vision deal with the establishment of technologies to exhaustively investigate the protein components of a proteome, to generate high-resolution gel-based reference maps, and to give rice proteomics a functional dimension by studying PTMs and isolation of multiprotein complexes. Finally, we direct a vision on rice proteomics. This is our third review in series on rice proteomics, which aims to stimulate an objective discussion among rice researchers and to understand the necessity and impact of unraveling rice proteomes to their full potential.

Update and challenges on proteomics in rice

Rice is not only an important agricultural resource but also a model plant for biological research. Our previous review highlighted different aspects of the construction of rice proteome database, cataloguing rice proteins of different tissues and organelle, differential proteomics using 2-DE and functional characterization of some of the proteins identified (Komatsu, S., Tanaka, N., Proteomics 2005, 5, 938-949). In this review, the powerfulness and weaknesses of proteomic technologies as a whole and limitations of the currently used techniques in rice proteomics are discussed. The information obtained from these techniques regarding proteins modification, protein-protein interaction and the development of new methods for differential proteomics will aid in deciphering more precisely the functions of known and/or unknown proteins in rice.

Low temperature treatment at the young microspore stage induces protein changes in rice anthers

Male reproductive development in rice is very sensitive to various forms of environmental stresses including low temperature. A few days of cold treatment (<20 degrees C) at the young microspore stage induce severe pollen sterility and thus large grain yield reductions. To investigate this phenomenon, anther proteins at the early stages of microspore development, with or without cold treatment at 12 degrees C, were extracted, separated by two-dimensional gel electrophoresis, and compared. The cold-sensitive cultivar Doongara and the relatively cold-tolerant cultivar HSC55 were used. The abundance of 37 anther proteins was changed more than 2-fold after 1, 2, and 4 days of cold treatment in cv. Doongara. Among them, one protein was newly induced, 32 protein spots were up-regulated, and four protein spots were down-regulated. Of these 37 protein spots, we identified two anther-specific proteins (putative lipid transfer protein and Osg6B) and a calreticulin that were down-regulated and a cystine synthase, a beta-6 subunit of the 20 S proteasome, an H protein of the glycine cleavage system, cytochrome c oxidase subunit VB, an osmotin protein homologue, a putative 6-phosphogluconolactonase, a putative adenylate kinase, a putative cysteine proteinase inhibitor, ribosomal protein S12E, a caffeoyl-CoA O-methyltransferase, and a monodehydroascorbate reductase that were up-regulated. Identification of these proteins is available upon request. Accumulation of these proteins did not vary greatly after cold treatment in panicles of cv. Doongara or in the anthers of the cv. HSC55. The newly induced protein named Oryza sativa cold-induced anther protein (OsCIA) was identified as an unknown protein. The OsCIA protein was detected in panicles, leaves, and seedling tissues under normal growth conditions. Quantitative real time RT-PCR analysis of OsCIA mRNA expression showed no significant change between low temperature-treated and untreated plants. A possible regulatory role for the newly induced protein is proposed.