Optimization of Protein Isolation and Label-Free Quantitative Proteomic Analysis in Four Different Tissues of Korean Ginseng.

Korean ginseng is one of the most valuable medicinal plants worldwide. However, our understanding of ginseng proteomics is largely limited due to difficulties in the extraction and resolution of ginseng proteins because of the presence of natural contaminants such as polysaccharides, phenols, and glycosides. Here, we compared four different protein extraction methods, namely, TCA/acetone, TCA/acetone-MeOH/chloroform, phenol-TCA/acetone, and phenol-MeOH/chloroform methods. The TCA/acetone-MeOH/chloroform method displayed the highest extraction efficiency, and thus it was used for the comparative proteome profiling of leaf, root, shoot, and fruit by a label-free quantitative proteomics approach. This approach led to the identification of 2604 significantly modulated proteins among four tissues. We could pinpoint differential pathways and proteins associated with ginsenoside biosynthesis, including the methylerythritol 4-phosphate (MEP) pathway, the mevalonate (MVA) pathway, UDP-glycosyltransferases (UGTs), and oxidoreductases (CYP450s). The current study reports an efficient and reproducible method for the isolation of proteins from a wide range of ginseng tissues and provides a detailed organ-based proteome map and a more comprehensive view of enzymatic alterations in ginsenoside biosynthesis.

A TMT-Based Quantitative Proteome Analysis to Elucidate the TSWV Induced Signaling Cascade in Susceptible and Resistant Cultivars of Solanum lycopersicum.

: Tomato spotted wilt virus (TSWV), transmitted by small insects known as thrips, is one of the major threats to tomato productivity across the globe. In addition to tomato, this virus infects more than 1000 other plants belonging to 85 families and is a cause of serious concern. Very little, however, is known about the molecular mechanism of TSWV induced signaling in plants. Here, we used a tandem mass tags (TMT)-based quantitative proteome approach to investigate the protein profiles of tomato leaves of two cultivars (cv 2621 and 2689; susceptible and resistant to TSWV infection, respectively) following TSWV inoculation. This approach resulted in the identification of 5112 proteins of which 1022 showed significant changes in response to TSWV. While the proteome of resistant cultivar majorly remains unaltered, the proteome of susceptible cultivar showed distinct differences following TSWV inoculation. TSWV modulated proteins in tomato included those with functions previously implicated in plant defense including secondary metabolism, reactive oxygen species (ROS) detoxification, mitogen-activated protein (MAP) kinase signaling, calcium signaling and jasmonate biosynthesis, among others. Taken together, results reported here provide new insights into the TSWV induced signaling in tomato leaves and may be useful in the future to manage this deadly disease of plants.

Label-free quantitative proteomic analysis of Panax ginseng leaves upon exposure to heat stress.

BACKGROUND: Ginseng is one of the well-known medicinal plants, exhibiting diverse medicinal effects. Its roots possess anticancer and antiaging properties and are being used in the medical systems of East Asian countries. It is grown in low-light and low-temperature conditions, and its growth is strongly inhibited at temperatures above 25°C. However, the molecular responses of ginseng to heat stress are currently poorly understood, especially at the protein level. METHODS: We used a shotgun proteomics approach to investigate the effect of heat stress on ginseng leaves. We monitored their photosynthetic efficiency to confirm physiological responses to a high-temperature stress. RESULTS: The results showed a reduction in photosynthetic efficiency on heat treatment (35°C) starting at 48 h. Label-free quantitative proteome analysis led to the identification of 3,332 proteins, of which 847 were differentially modulated in response to heat stress. The MapMan analysis showed that the proteins with increased abundance were mainly associated with antioxidant and translation-regulating activities, whereas the proteins related to the receptor and structural-binding activities exhibited decreased abundance. Several other proteins including chaperones, G-proteins, calcium-signaling proteins, transcription factors, and transfer/carrier proteins were specifically downregulated. CONCLUSION: These results increase our understanding of heat stress responses in the leaves of ginseng at the protein level, for the first time providing a resource for the scientific community.

Proteome data associated with the leaf senescence in Glycine max.

The data presented in this article are associated with the article "Coupling of gel-based 2-DE and 1-DE shotgun proteomics approaches to dig deep into the leaf senescence proteome of Glycine max" (R. Gupta, S.J. Lee, C.W. Min, S.W. Kim, K.-H. Park, D.-W. Bae, et al., 2016) [1]. Leaf senescence is one of the important aspects of the life cycle of a plant that leads to the recycling of nutrients from source to sink cells. To understand the leaf senescence-associated proteins, we used a combination of gel-based 2-DE and 1-DE shotgun proteomic approaches. Here, we display the 2-DE, Mass spectrometry, and Gene ontology data related with the leaf senescence in soybean [1].

Coupling of gel-based 2-DE and 1-DE shotgun proteomics approaches to dig deep into the leaf senescence proteome of Glycine max.

UNLABELLED: Leaf senescence is the last stage of leaf development that re-mobilizes nutrients from the source to sink. Here, we have utilized the soybean as a model system to unravel senescence-associated proteins (SAPs). A comparative proteomics approach was used at two contrasting stages of leaf development, namely mature (R3) and senescent (R7). Selection criteria for these two stages were the contrasting differences in their biochemical parameters - chlorophyll, carotenoids and malondialdehyde contents. Proteome analysis involved subjecting the total leaf proteins to 15% poly-ethylene glycol (PEG) pre-fractional method to enrich the low-abundance proteins (LAPs) and their analyses by gel-based 2-DE and 1-DE shotgun proteomics approaches. 2-DE profiling of PEG-supernatant and -pellet fractions detected 153 differential spots between R3 and R7 stages, of which 102 proteins were identified. In parallel, 1-DE shotgun proteomics approach identified 598 and 534 proteins in supernatant and pellet fractions of R3 and R7 stages, respectively. MapMan and Gene Ontology analyses showed increased abundance and/or specific accumulation of proteins related to jasmonic acid biosynthesis and defense, while proteins associated with photosynthesis and ROS-detoxification were decreased during leaf senescence. These findings and the generated datasets further our understanding on leaf senescence at protein level, providing a resource for the scientific community. BIOLOGICAL SIGNIFICANCE: Leaf senescence is a major biological event in the life cycle of plants that leads to the recycling of nutrients. However, the molecular mechanisms underlying leaf senescence still remain poorly understood. Here, we used a combination of gel-based 2-DE and 1-DE shotgun proteomics approaches to dig deeper into the leaf senescence proteome using soybean leaf as a model experimental material. For the identification of low-abundance proteins, polyethylene glycol (PEG) fractionation was employed and both PEG-supernatant and -pellet fractions were utilized for 2-DE and shotgun proteomic analysis. A total of 1234 (102 from 2-DE and 1132 from 1-DE shotgun proteome analysis) proteins were identified which were functionally annotated using GO and MapMan bioinformatics tools. Our results also emphasize the role of jasmonic acid in soybean leaf senescence.

Comparative Biochemical and Proteomic Analyses of Soybean Seed Cultivars Differing in Protein and Oil Content.

This study develops differential protein profiles of soybean (Glycine max) seeds (cv. Saedanbaek and Daewon) varying in protein (47.9 and 39.2%) and oil (16.3 and 19.7%) content using protamine sulfate (PS) precipitation method coupled with a 2D gel electrophoresis (2DGE) approach. Of 71 detected differential spots between Daewon and Saedanbaek, 48 were successfully identified by MALDI-TOF/TOF. Gene ontology analysis revealed that up-regulated proteins in Saedanbaek were largely associated with nutrient reservoir activity (42.6%), which included mainly seed-storage proteins (SSPs; subunits of glycinin and ß-conglycinin). Similar results were also obtained in two cultivars of wild soybean (G. soja cv. WS22 and WS15) differing in protein content. Western blots confirmed higher accumulation of SSPs in protein-rich Saedanbaek. Findings presented and discussed in this study highlight a possible involvement of the urea cycle for increased accumulation of SSPs and hence the higher protein content in soybean seeds.

Protamine sulfate precipitation method depletes abundant plant seed-storage proteins: A case study on legume plants.

Depletion of abundant proteins is one of the effective ways to improve detection and identification of low-abundance proteins. Our previous study showed that protamine sulfate precipitation (PSP) method can deplete abundant ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) from leaf proteins and is suitable for their in-depth proteome investigation. In this study, we provide evidence that the PSP method can also be effectively used for depletion of abundant seed-storage proteins (SSPs) from the total seed proteins of diverse legume plants including soybean, broad bean, pea, wild soybean, and peanut. The 0.05% protamine sulfate (PS) was sufficient to deplete major SSPs from all legumes tested except for peanut where 0.1% PS was required. SDS-PAGE, Western blotting and 2DE analyses of PS-treated soybean and peanut seed proteins showed enriched spots in PS-supernatant than total proteins. Coefficient of variation percentage (%CV) and principal component analysis of 2DE spots support the reproducibility, suitability, and efficacy of the PSP method for quantitative and comparative seed proteome analysis. MALDI-TOF-TOF successfully identified some protein spots from soybean and peanut. Hence, this simple, reproducible, economical PSP method has a broader application in depleting plant abundant proteins including SSPs in addition to RuBisCO, allowing discussion for comprehensive proteome establishment and parallel comparative studies in plants.

Comparative investigation of seed coats of brown- versus yellow-colored soybean seeds using an integrated proteomics and metabolomics approach.

Seed coat color is an important attribute determining consumption of soybean seeds. Soybean cultivar Mallikong (M) has yellow seed coat while its naturally mutated cultivar Mallikong mutant (MM), has brown colored seed coat. We used integrated proteomics and metabolomics approach to investigate the differences between seed coats of M and MM during different stages of seed development (4, 5, and 6 weeks after flowering). 2DE profiling of total seed coat proteins from three stages showed 178 differentially expressed spots between M and MM of which 172 were identified by MALDI-TOF/TOF. Of these, 62 were upregulated and 105 were downregulated in MM compared with M, while five spots were detected only in MM. Proteins involved in primary metabolism showed downregulation in MM suggesting energy in MM might be utilized for proanthocyanidin biosynthesis via secondary metabolic pathways that leads to the development of brown seed coat color. Besides, downregulation of two isoforms of isoflavone reductase indicated reduced isoflavones in seed coat of MM that was confirmed by quantitative estimation of total and individual isoflavones using HPLC. We propose that low isoflavones level in MM may offer a high substrate for proanthocyanidin production that results in the development of brown seed coat in MM.