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Article

Proteomic Analysis of Irradiation with Millimeter Waves on Soybean Growth under Flooding Conditions

by
Zhuoheng Zhong
1,2,
Takashi Furuya
3,
Kimitaka Ueno
1,
Hisateru Yamaguchi
4,
Keisuke Hitachi
4,
Kunihiro Tsuchida
4,
Masahiko Tani
3,
Jingkui Tian
2 and
Setsuko Komatsu
1,*
1
Faculty of Environment and Information Sciences, Fukui University of Technology, Fukui 910-8505, Japan
2
College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China
3
Research Center for Development of Far-Infrared Region, University of Fukui, Fukui 910-8507, Japan
4
Institute for Comprehensive Medical Science, Fujita Health University, Toyoake 470-1192, Japan
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2020, 21(2), 486; https://doi.org/10.3390/ijms21020486
Submission received: 25 November 2019 / Revised: 3 January 2020 / Accepted: 8 January 2020 / Published: 12 January 2020
(This article belongs to the Collection Feature Papers in Molecular Plant Sciences)
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Review Reports Versions Notes

Abstract

:
Improving soybean growth and tolerance under environmental stress is crucial for sustainable development. Millimeter waves are a radio-frequency band with a wavelength range of 1–10 mm that has dynamic effects on organisms. To investigate the potential effects of millimeter-waves irradiation on soybean seedlings, morphological and proteomic analyses were performed. Millimeter-waves irradiation improved the growth of roots/hypocotyl and the tolerance of soybean to flooding stress. Proteomic analysis indicated that the irradiated soybean seedlings recovered under oxidative stress during growth, whereas proteins related to glycolysis and ascorbate/glutathione metabolism were not affected. Immunoblot analysis confirmed the promotive effect of millimeter waves to glycolysis- and redox-related pathways under flooding conditions. Sugar metabolism was suppressed under flooding in unirradiated soybean seedlings, whereas it was activated in the irradiated ones, especially trehalose synthesis. These results suggest that millimeter-waves irradiation on soybean seeds promotes the recovery of soybean seedlings under oxidative stress, which positively regulates soybean growth through the regulation of glycolysis and redox related pathways.

1. Introduction

The Leguminosae comprise about 18,000 species, most of which are able to participate in nitrogen-fixing symbioses [1]. These plants play an important ecological role as interesting sources of vegetable proteins [2]. Soybean milk has a considerably high protein content, which matches the value of milk from cows [3]. The transition of protein supply from animals to plants is a desirable strategy to keep up with the increasing protein demand caused by accelerating prosperity and world population increases [4]. Soybean is an important crop for both protein meal and vegetable oil [5]. Unfortunately, the growth and yield of a soybean are strongly affected by diverse environmental conditions [6]. These findings indicate that improvement of soybean quality and tolerance under environmental stress is utmostly crucial.
Many crops, including soybean, are particularly sensitive to stress from flooding [7,8], which causes an increase of the carbon dioxide concentration in soil [9] and inhibits development of underground tissues [10]. Furthermore, ATP production and energy transformation through oxidative phosphorylation are impaired, which severely affect soybean growth [11]. Lateral root and root hairs begin to grow shortly after the germination of radicles within five days of planting [12]. During these five days, the flooding injury to seedlings before germination which was caused by a physical disruption of the rapid uptake of water could be alleviated by using seeds with high moisture contents [13]; however, the injury after germination induced cell death of the root tip containing the root apical meristem and severely threated the root system development of soybean [14,15], which resulted in suppressed length/weight of underground tissues [16]. To promote plant growth and development, several strategies were used to improve early-stage soybean tolerance under flooding conditions. Soybean plants supplied with abscisic acid had a high survival ratio after flooding compared to control [17]. Flood-tolerant soybeans, which were isolated from gamma-ray irradiated mutants, also recovered after water removal [18]. Flooded soybean recovered after water removal following treatment with plant-derived smoke [19]. These applications have significant influence towards the development of a flood-tolerant soybean, however, they are not environmentally friendly. Investigations of simple and safe applications are needed to protect soybean plants from flooding damage.
Millimeter waves are a radio frequency band with a range of 30–300 GHz, which corresponds to a wavelength range of 1–10 mm [20]. Millimeter-waves irradiation is an environmentally appropriate technology, with long wavelengths and small threats to human health [21], which has been reported to have dynamic effects on organisms. It influences the vital activity, cell division, enzyme synthesis, and biomass accumulation of several microorganisms [22]. Wheat seeds which were treated with the millimeter waves, grew into higher plants with better biological harvest yields, compared to those without treatment [23]. On the contrary, millimeter-waves irradiation had no positive impact on potato growth [24]. Therefore, the millimeter-waves irradiation may be an effective approach to promote harvesting in some crops, however, the effects on soybeans have not been investigated.
Pre-sowing treatment of the seeds has advantages such as simplicity and economic feasibility. Pre-sowing treatment of soybean seeds with magnetic field [25], laser [26], or nanoparticles [27] affected soybean growth and resulted in better accumulation of the nutritional compounds, regardless of the rigid seed coat. Treatment of soybean seeds with millimeter-waves irradiation might be a potential method for enhancing soybean growth and development, which may positively regulate soybean metabolism under stressful conditions; however, the effects of millimeter waves on soybean have not been studied. To determine the effects of the millimeter-waves irradiation on soybean growth, morphological analysis was performed through comparisons among treatments in different ranges of dose and duration of the irradiation. Based on the morphological results, proteomic analysis was carried out to explore the responsible mechanisms for the positive effects of millimeter waves on soybean growth and flooding recovery. Proteomic results were subsequently confirmed by immunoblot analysis.

2. Results

2.1. Morphological Analysis of Soybean Irradiated with Millimeter Waves

To investigate the effect of millimeter-waves irradiation on soybean and soybean subjected to flooding stress, the morphological changes of soybean after different treatments were analyzed (Figures S1 and S2). Soybean seeds were irradiated with 5, 10, 20, and 40 mW of millimeter waves, while untreated seeds were used as control. The growth of soybean seedlings was suppressed by flooding (Figure 1). Millimeter-waves irradiation promoted the elongation of hypocotyl of soybean and soybean with flooding stress. The length and weight of hypocotyl of soybean, which treated with 10 mW irradiation, were the highest compared to those treated with other doses of irradiation (Figure S3). To further investigate the optimal time for irradiation, soybean seeds were irradiated or not with 10 mW of millimeter waves for 10, 20, 40, and 80 min. The duration for 20 min was most effective for promoting the growth of hypocotyl and root (Figure 1). Based on the morphological results, millimeter-waves irradiation of 10 mW for 20 min was set as the pre-sowing treatment for further proteomic analysis.

2.2. Identification and Functional Investigation of Proteins in Root-Hypocotyl Tissue of Soybean Irradiated with Millimeter Waves

In order to explore the effect on growth of soybean seeds irradiated with millimeter waves, a gel-free/label-free proteomic technique was used. Proteins were extracted from the root-hypocotyl tissue of soybean before (starting point) and after treatment. There were four groups of soybeans: irradiated/unirradiated and flooded/unflooded. The relative abundance of peptides and proteins from irradiated soybean was compared with that from unirradiated soybean. The proteomic data of all samples from different groups were compared by principle component analysis (PCA), which indicated the different expression patterns of proteins from different treatment (Figure S4). In total, the abundance of 1151, 674, and 1919 proteins differentially changed in millimeter-waves irradiated soybean at the starting point, unflooded, and flooded conditions, respectively, compared to soybean without irradiation (Tables S1–S3). Among them, 66 proteins were commonly identified from three comparisons. The functional category of these proteins was determined using MapMan bin codes. Commonly changed proteins were mainly involved in protein synthesis/targeting, photosynthesis, development, and cell division (Table 1). Proteins related to hormone metabolism such as 12-oxophytodienoate reductase and lipoxygenase increased in irradiated soybeans at the starting point, unflooded and flooded conditions compared to unirradiated ones.
Furthermore, proteins related to photosynthesis significantly increased in irradiated soybeans from these three comparisons, and the fold change of photosystem I reaction center subunit III and photosystem I P700 chlorophyll a apoprotein A2 were 3.00 and 3.04 under flooded conditions compared to unirradiated soybeans. Especially, chaperonin 10 increased with a fold change of 5.47 in irradiated soybean seedlings compared to unirradiated ones at the starting point. To further investigate the effect of millimeter-waves irradiation during soybean growth under unflooded and flooded conditions, relative abundance of peptides and proteins from unflooded and flooded conditions was compared with that from the starting point. Under unflooded condition, there are 2227 and 697 proteins differentially changed in unirradiated and irradiated soybean seedlings, respectively, during growth. (Tables S4 and S6). Under flooded condition, those numbers were 1903 and 1473, respectively, before and after flooding stress (Tables S5 and S7). The functional category of these proteins was determined using MapMan bin codes (Figure 2). Within unirradiated soybeans, altered proteins during under both unflooded and flooded conditions were mainly involved in protein synthesis/degradation/targeting, RNA regulation, cell, and stress (as the percentages in totally altered proteins under unflooded/flooded conditions were 18.6%/20.2%, 16.3%/6.7%, 4.7%/4.3%, and 4.6%/5.0%, respectively). Within irradiated soybeans, percentages of proteins related to these four categories were also high, however, proteins related to other categories also intensively changed. Namely, 4.2% (29/697) of altered proteins under unflooded conditions related to cell wall; 4.5% (67/1473) of altered proteins under flooded conditions related to amino acid metabolism, while only 2.0% (14/697) of proteins related to this category altered under unflooded conditions.

2.3. Identification of Metabolic Pathways Related to Millimeter-Waves Irradiation in Soybean during Growth

To visualize the effect of millimeter-waves irradiation to metabolic pathways during soybean growth, proteins with differential abundance were submitted to MapMan software and mapped (Figure 3). Under unflooded conditions, proteins in irradiated soybeans related to Calvin cycle, ascorbate/glutathione cycle, and glycolysis were less affected (Figure 3A,B); the numbers of altered proteins related to these three pathways were 1, 5, 4, respectively, accounted for 0.6% (1/162), 3.0% (5/162), and 2.5% (4/162). In the meanwhile, those numbers in unirradiated soybeans were 15, 18, and 23, accounted for 3.2% (15/473), 3.8% (18/473), 4.9% (23/473), accordingly. Furthermore, under flooded conditions, proteins in unirradiated soybean related to photorespiration, nucleotide metabolism, and oxidative pentose phosphate pathway decreased; the percentage of decreased ones to altered proteins within each category was 100% (6/6), 58% (19/33), and 80% (4/5), respectively (Figure 3C). Proteins in irradiated soybean related to photorespiration, nucleotide metabolism and oxidative pentose phosphate were less inhibited compared to the unirradiated group; as the corresponding percentage of decreased proteins was 40% (2/5), 36% (9/25), 30% (3/10) (Figure 3D). In addition, the abundance of pyruvate kinase related to glycolysis increased in control group during flooding, whereas that in millimeter waves irradiated group decreased during flooding instead (Figure 3C,D), which implied the differential regulation on glycolysis of millimeter-wave irradiation under flooding.
As proteins related to glycolysis and ascorbate/glutathione cycle were differentially changed in 4-day old seedlings compared to 2-day old seedlings (Figure 3), which may differently regulate energy metabolism and plant resistance during growth [28,29]. To visualize the effect of millimeter-waves irradiation to soybean growth, changed proteins related to glycolysis or ascorbate/glutathione metabolism were mapped based on KEGG database (Figure 4 and Figure 5).
In the glycolysis pathway, without millimeter-wave treatment, proteins were significantly affected during unflooded growth; namely, nine out of 15 changed proteins were decreased (Figure 4A). In irradiated soybeans, only two out of five changed proteins were decreased during unflooded growth (Figure 4B). Nevertheless, flooding induced the upregulation of glycolysis within both unirradiated and irradiated seedlings as important regulation for energy production under hypoxia conditions [30], from which more than half of the proteins increased in both irradiated and unirradiated soybean seedlings (Figure 4C,D). In ascorbate/glutathione pathway, under unflooded conditions, the abundance of ascorbate peroxidase increased in unirradiated plants and the abundance of glutathione dehydrogenase decreased; however, these two proteins did not change in irradiated plants (Figure 5A,B). Under flooded conditions, ascorbate peroxidase decreased in unirradiated soybean seedlings and increased in irradiated ones (Figure 5C,D), which presented as the only protein that was differentially expressed in response to flooding.
Considering the fact that oxygen is deprived under flooding stress, which hinders aerobic respiration, sugar metabolism correlating with glycolysis is responsible for energy production during flooding [31]. Differentially expressed proteins were mapped to sugar metabolism based on KEGG database. Under unflooded condition, many of related proteins decreased in unirradiated soybeans while only fructokinase decreased in irradiated soybeans and other proteins increased or did not change (Figure 6A,B). In response to flooding, sugar metabolism is up-regulated, proteins such as hexosephosphate aminotransferase, UDP glucose pyrophosphorylase, UDP-glucose dehydrogenase, and glucurono kinase increased (Figure 6A,C). Furthermore, millimeter-wave irradiation promoted the up-regulation of sugar metabolism. As indicated, proteins such as chitinase, hexokinase, 4-α-glucanotransferase, sucrose-phosphate synthase, and phospho-glucomutas decreased in unirradiated soybean seedlings during flooding (Figure 6C); however, these proteins increased in irradiated soybean seedlings (Figure 6D), which were responsible for the supply of precursors for energy production [28].

2.4. Immunoblot Analysis of Proteins involved in Ascorbate/Glutathione Metabolism and Glycolysis in Soybean Root during Flooding

To better uncover the change of proteins from different treatments, immunoblot analysis of proteins related to ascorbate/glutathione metabolism and glycolysis were performed. Proteins were extracted from root-hypocotyl tissue of soybeans which treated with varied doses (0, 5, 10, and 20 mW) of millimeter waves under unflooded or flooded condition. CBB staining pattern was used as loading control (Figure S5). To confirm the finding according to proteomic result, the presence of APX, GR in ascorbate and glutathione metabolism were analyzed; To analyze the expression of PRX, which was essential for redox signaling and flooding response in soybean [32], anti-PRX antibodies was used (Figure S6). Under unflooded condition, APX and PRX increased in response to 10mW of millimeter waves, while GR did not change. In response to flooding stress, the expression patterns in unirradiated and 10 mW-millimeter-irradiated soybeans were same- APX decreased and PRX increased; however, the abundance of both APX and PRX were higher in soybeans irradiated with 10 mW millimeter-waves, compared to unirradiated ones (Figure 7). For investigation of change in glycolysis, the presence of FBPA, TPI, and GAPDH were analyzed (Figure S7). FBPA is not affected by neither flooding stress nor millimeter-waves irradiation. TPI and GAPDH in soybean increased in response to flooding stress. In the meanwhile, the abundance of TPI and GAPDH in soybeans that irradiated with 10 mW-millimeter waves were higher than that in unirradiated soybeans under flooded condition (Figure 8), which suggested that the millimeter-waves irradiation promoted the up-regulation of glycolysis.

3. Discussion

3.1. Millimeter-Waves Irradiation on Soybean Seeds Improved Early-Stage Soybean Growth and Flooding Tolerance

The electromagnetic field of the millimeter waves band, which is used in satellite communication, radiometry, radar, and remote sensing technologies, has emerged as a novel and widespread environmental factor [33]. Millimeter-waves irradiation promotes the growth of plants via increase of seedling length [34,35], leaf weight [36], shoot multiplication [37], or advance of pollen-tube emergence [38]. In the present study, the effect of millimeter-waves irradiation on the early-stage development of soybean seeds was analyzed. Morphological analysis indicated that the millimeter-waves irradiation not only improved the development of root and hypocotyl in 4-day old soybean plants, but also promoted soybean tolerance during flooding stress (Figure 1). Altered proteins at 2-day stage, 4-day-without-flooding stage, and 4-day-with-flooding stage were investigated. Proteins related to hormone metabolism and photosynthesis increased in irradiated soybeans at all three stages, which suggests that essential growth-regulating metabolisms are activated during early-stage growth. Most importantly, chaperonin 10 increased in irradiated soybean seedlings compared to unirradiated ones at the starting point (Table 1). Chaperonin 10 plays a prominent role in plastid protein folding especially the assembly of ribulose bisphosphate carboxylase oxygenase [39], which had protective effect on plants by establishing normal protein conformation and cellular homeostasis [40]. In soybean, reduced expression of chaperonins resulted in abnormal mitochondria metabolism under chilling temperatures [41]. Present results with previous findings revealed the regulatory role of millimeter-waves irradiation on plant growth.
Despite of the countless evidence for the promotive effect of millimeter-waves irradiation on plant growth, few studies investigated its effect under abiotic stress. Flooding represents a severe abiotic stress which threats the growth and yield of many crops [6,8]. Flooding injury during early-stage development post germination induces cell death of the root tip [14] and largely inhibited lateral root development [15]. Therefore, increase of soybean flooding tolerance at this stage is a large promise for improving soybean long-term development and productivity. Several strategies have been applied to increase soybean tolerance under flooding [17,18,19], yet a simple and safe strategy is needed. Present results suggest that millimeter-waves irradiation had promotive effect on soybean growth under flooding stress, where elongation of root and hypocotyl was recovered after water removal. Our findings demonstrated the importance of millimeter-waves irradiation to soybean root growth. The improved root growth guaranteed soybean recovery after flooding stress, which increased the possibility of soybean surviving from waterlog and contributed to the higher productivity.

3.2. Millimeter-Waves Irradiation Promoted Carbohydrate Metabolism for Energy Production

Germination is a turning point when plants convert from anaerobic-dominant respiration to aerobic-dominant respiration [17]. Generation of reactive-oxygen species increases after germination, which inhibits multiple glycolytic enzymes [42]. In the present study, the abundance of GAPDH, enolase, and pyruvate kinase decreased during growth in unirradiated soybeans, which is consistent with previous knowledge; however, these proteins did not change during growth in irradiated soybeans. Despite these changes, the abundance of phospho-hexokinase both decreased in unirradiated and irradiated soybeans. (Figure 4). Phospho-hexokinase catalyzes the irreversible conversion of glucose to glucose-6-phosphate, which is the rate-limiting enzyme in glycolysis [43]. Immunoblot analysis revealed that there were no significant changes among the soybeans treated with varied doses of irradiation under unflooded condition (Figure 8). Current results indicated that millimeter-waves irradiation promoted glycolysis in the soybean, but the regulatory effect might be inhibited by the up-stream rate-limiting step.
Flooding inhibited the oxidative phosphorylation of ADP into ATP in the soybean roots [44], impaired carbohydrate metabolism [28], and resulted in the dominance of substrate-level of phosphorylation in ADP to ATP (which utilizes glucose or fructose via glycolytic-fermentation pathway [45]). Sugar metabolism is responsible for the catalyzation of glycolytic precursors such as glucose and its phosphates, and it was pointed out as the tolerant-responsive process at the initial flooding stress in a soybean [46], where gene expression levels of phosphoglucomutase and sucrose-phosphate synthase are upregulated in flooding-tolerant mutants compared to wild-type plants [33]. Therefore, alteration of sugar metabolism altogether with its down-stream glycolysis is an important adaptation of plants under flooding stress [45]. The species or genotype with greater carbohydrate concentration in roots, and an efficient metabolic mechanism associated with carbohydrate mobilization and fermentation pathway, would be more suitable to face oxygen deprivation under flooding [47]. In the present study, proteins which are related to sugar metabolism from unirradiated and irradiated soybean seedlings both, intensively changed under flooding stress (Figure 6). However, in unirradiated group, more than half of the altered proteins decreased, whereas those proteins increased in millimeter waves irradiated group. Chitinase, which catalyzes the hydrolytic cleavage of chitin to GlcNAC [48], was considered as a defense mechanism against pathogens and abiotic stress [49]. Glycogen phosphorylase was responsible for the phosphorolytic degradation of starch into glucose-1P [50]; glucanotransferase catalyzed the transfer of maltooligosaccharides from maltose to glucose [51], both provided precursors for glycolysis. Immunoblot analysis indicated that the abundances of TPI and GAPDH in irradiated soybeans were higher than those in unirradiated soybeans under flooded condition (Figure 8). GAPDH reversibly catalyzes the formation of glyceraldehyde to 1,3-bisphosphoglycerate, which was increased under various stress such as anaerobic [52], salt [53], and flooding [31]. Moreover, although GAPDH is not a rate-limiting enzyme in glycolysis, increased GAPDH mediated the glycolysis rate as a mechanism by which the plant cell prepared for a demand of ATP [29]. These findings suggest that millimeter-waves irradiation alters sugar metabolism of soybean during flooding stress, which might promote the accumulation of soluble sugars and positively facilitate soybean growth through upregulation of GAPDH in glycolysis.
Interestingly, proteins which are related to trehalose synthesis such as trehalose-6P synthase and trehalose-phosphatase increased in irradiated soybean seedling during flooding stress (Figure 6). Trehalose functions as a storage carbohydrate and protects individuals against a variety of stress in bacteria, fungi, and insects; while, in plants these roles are largely replaced by sucrose [54]. Nevertheless, several studies indicated that trehalose and trehalose-6P are essential for embryogenic and vegetative growth of Arabidopsis thaliana [55,56,57]. Present results with previous knowledge suggest that trehalose synthesis is activated in soybean seedlings irradiated with millimeter waves under flooding stress, which may alternatively promote the plant growth and tolerance of soybean under flooding stress.

3.3. Millimeter-Waves Irradiation Differentially Regulated Redox-Related Pathways for Tolerance under Oxidative Stress

Metabolism of ascorbate and glutathione forms the main detoxification system of active oxygen species operating in plant cells [58]. The ascorbate-glutathione cycle not only combats oxidative stress, but also plays an important role in various developmental processes [59,60]. In the present study, the change patterns and the presence of GR in unirradiated soybeans or irradiated soybeans were both similar under unflooded and flooded conditions (Figure 5 and Figure 7); However, APX underwent differential changes. APX decreased in response to flooding in unirradiated soybeans but increased in irradiated soybeans (Figure 5). Immunoblot analysis indicated that APX increased in soybeans which irradiated with optimum power strength compared to that in unirradiated soybeans (Figure 7), which supported that millimeter-waves treatment induced the expression of APX. Ascorbate peroxidase catalyzed the transformation of ascorbate and H2O2 into H2O and dehydro-ascorbate, which is important for the scavenging of oxygen species [61]. Proteomic results indicated that the abundance of APX in 4-day old irradiated seedlings did not change compared to 2-day-old irradiated seedlings; the abundance of APX in 4-day-old unirradiated seedlings was higher than 2-day-old unirradiated seedlings. Immunoblot analysis indicated that the abundance of APX in 4-day-old irradiated seedlings was higher than that in 4-day-old unirradiated seedling. Based on these results, although the expression of APX did not change in irradiated soybean seedlings from 2-day-stage to 4-day-stage, it was both higher at 2-day-old and 4-day-old compared to unirradiated seedlings. The high expression level of APX during 2-day-stage to 4-day-stage may promote the soybean growth, considering the fact that soybean is suffering from increasingly oxidative environment after soybean germination during this period [17].
Peroxiredoxins are a ubiquitous class of cysteine-dependent enzymes that degrade hydroperoxides into water [62]. Although catalytic cycle of PRX is excluded from ascorbate and glutathione cycle [63], PRX is important not only as intracellular antioxidants but also as direct participants in redox signaling [64]. According to the immunoblot result, PRX significantly increased in response to flooding stress, which is consistent with previous findings [32]. Under flooding stress, the accumulation of PRX in irradiated soybeans were higher than that in unirradiated soybeans (Figure 7). PRX from grapes responded to environmental signals such as heat, light, and pathogens [65]. Furthermore, PRX from grapes was proved to be involved with H2O2 signaling and abscisic-acid signaling in the abiotic stress protection [30]. Similar regulatory mechanisms may occur in a soybean under abiotic stress, and the increase of PRX induced by millimeter waves may promote soybean tolerance under flooding.

4. Materials and Methods

4.1. Plant Material, Millimeter Wave Irradiation, and Treatment

For millimeter wave irradiation, a Gunn oscillator (J.E. Caristrom Co., Chicago, IL, USA) was used as a light source. The Gunn oscillator delivers an output power of 7–80 mW in a frequency range of 79–115 GHz. The Gunn oscillator operated free run at a frequency 110 GHz and output power adjusted by attenuator. The millimeter wave is radiated to the free space by a horn antenna at an angle of 17 degrees. The seeds of soybean (Glycine max L. cultivar Enrei) were spread on a Petri dish. For the irradiation intensity of millimeter waves, irradiation was performed for 10 min of 0, 5, 10, 20, and 40 mW, corresponding to average intensities of 0, 0.06, 0.13, 0.25, and 0.51 mW/cm2, respectively. For the response to the irradiation time, 10 mW of millimeter-wave power was irradiated for 0, 10, 20, 40, and 80 min (Figure S1). The temperature rise of soybeans was estimated to be well below 1 K, even with the maximum irradiation intensity.
After irradiation, seeds were sterilized with 3% sodium hypochlorite solution, rinsed twice in water, and sown in 400 mL of silica sand in a seedling case. A total of 14 seeds were sown evenly in each seedling case depend on following experiments. Soybeans were grown at 25 °C and 60% humidity under white fluorescent light (160 µmol m−2·s−1, 16 h light period/day). To induce flooding stress, water was added above the soil surface to immerse 2-day-old soybeans after sowing for 2 days. For flooding recovery, water was removed at 4 days after sowing, and 4-day-old soybeans were moved to normal growing conditions for additional 4 days. For morphological analysis, root and hypocotyl of 8-day-old soybeans were collected with 10 plants for each point. For proteomic analysis, root-hypocotyl tissue of 2-day-old and 4-day-old soybeans were collected with five plants for each point. Three independent experiments were performed as biological replications for all experiments, meaning that the seeds were sown on different days. Irradiated/unirradiated and flooded/unflooded soybeans were collected (Figure S2).

4.2. Protein Extraction

A portion (300 mg) of root-hypocotyl tissue was cut into small pieces and put into a filter cartridge. It was ground with a plastic rod 120 times in 75 µL of lysis buffer, which contains 7 M urea, 2 M thiourea, 5% CHAPS, and 2 mM tributylphosphine. The suspension was incubated for 2 min at 25 °C and centrifuged twice with 15,000× g at 4 °C for 5 min. The detergents from the supernatant were removed using the Pierce Detergent Removal Spin Column (Pierce Biotechnology, Rockford, IL, USA). The Bradford method [66] was used to determine the protein concentration with bovine serum albumin used as the standard.

4.3. Protein Enrichment, Reduction, Alkylation, and Digestion

Extracted proteins (100 µg) were adjusted to a final volume of 100 µL. Methanol (400 µL) was added to each sample and mixed before addition of 100 µL of chloroform and 300 µL of water. After mixing and centrifugation at 20,000× g for 10 min to achieve phase separation, the upper phase was discarded and 300 µL of methanol was added to the lower phase, and then centrifuged at 20,000× g for 10 min. The pellet was collected as the soluble fraction [18]. Proteins were resuspended in 50 mM ammonium bicarbonate, reduced with 50 mM dithiothreitol for 30 min at 56 °C in the dark, and alkylated with 50 mM iodoacetamide for 30 min at 37 °C in the dark. Alkylated proteins were digested with trypsin and lysyl endopeptidase (Wako, Osaka, Japan) at a 1:100 enzyme/protein ratio for 16 h at 37 °C. Peptides were desalted with MonoSpin C18 Column (GL Sciences, Tokyo, Japan) and acidified with 1% trifluoroacetic acid.

4.4. Protein Identification Using Nano-Liquid Chromatography Mass Spectrometry

The LC conditions as well as the MS acquisition conditions are described in the previous study [19]. The peptides were loaded onto the LC system (EASY-nLC 1000; Thermo Fisher Scientific, San Jose, CA, USA) equipped with a trap column (Acclaim PepMap 100 C18 LC column, 3 µm, 75 µm ID × 20 mm; Thermo Fisher Scientific, San Jose, CA, USA), equilibrated with 0.1% formic acid, and eluted with a linear acetonitrile gradient (0–35%) in 0.1% formic acid at a flow rate of 300 nL min−1. The eluted peptides were loaded and separated on the column (EASY-Spray C18 LC column, 3 µm, 75 µm ID × 150 mm; Thermo Fisher Scientific, San Jose, CA, USA) with a spray voltage of 2 kV (Ion Transfer Tube temperature: 275 °C). The peptide ions were detected using MS (Orbitrap Fusion ETD MS; Thermo Fisher Scientific, San Jose, CA, USA) in the data-dependent acquisition mode with the installed Xcalibur software (version 4.0; Thermo Fisher Scientific, San Jose, CA, USA). Full-scan mass spectra were acquired in the MS over 375–1500 m/z with resolution of 120,000. The most intense precursor ions were selected for collision-induced fragmentation in the linear ion trap at normalized collision energy of 35%. Dynamic exclusion was employed within 60 s to prevent repetitive selection of peptides.

4.5. Mass Spectrometry Data Analysis

The MS/MS searches were carried out using MASCOT (Version 2.6.1, Matrix Science, London, UK) and SEQUEST HT search algorithms against the UniprotKB Glycine max (soybean) protein database (25 October 2017) using Proteome Discoverer (PD) 2.2 (Version 2.2.0.388; ThermoFisher Scientific). The workflow for both algorithms included spectrum files RC, spectrum selector, MASCOT, SEQUEST HT search nodes, percolator, ptmRS, and minor feature detector nodes. Oxidation of methionine were set as a variable modification and carbamidomethylation of cysteine was set as a fixed modification. Mass tolerances in MS and MS/MS were set at 10 ppm and 0.6 Da, respectively. Trypsin was specified as protease and a maximum of two missed cleavage was allowed. Target-decoy database searches used for calculation of false discovery rate (FDR) and for peptide identification FDR was set at 1%.

4.6. Differential Analysis of Proteins Using Mass Spectrometry Data

Label-free quantification was also performed with PD 2.2 using precursor ions quantifier nodes. For differential analysis of the relative abundance of peptides and proteins between samples, the freely software PERSEUS (version 1.6.5.0) [67] was used. Proteins and peptides abundances were transferred into log2 scale. Three biological replicates of each sample were grouped and a minimum of three valid values were required in at least one group. Normalization of the abundances was performed to subtract the median of each sample. Missing values were imputed based on a normal distribution (width = 0.3, down-shift = 1.8). Significance was assessed using Student’s t-test analysis. PCA was performed with PD 2.2.

4.7. Functional Predictions

Protein functions were categorized using MapMan bin codes [68] and protein abundance ratio was visualized through MapMan software [69] (version 3.6.0RC1; http://mapman.gabipd.org). Pathway mapping of identified proteins was performed using Kyoto Encyclopedia of Genes and Genomes (KEGG) database [70] (http://www.genome.jp/kegg/), in which each square indicates one protein. Red and green squares indicate increased and decreased proteins during growth, respectively.

4.8. Immunoblot Analysis

SDS-sample buffer consisting of 60 mM Tris-HCl (pH 6.8), 2% SDS, 10% glycerol, and 5% 2-mercaptoethanol was added to protein samples [71]. Quantified proteins (10 μg) were separated by electrophoresis on a 10% SDS-polyacrylamide gel and transferred onto a polyvinylidene difluoride membrane using a semidry transfer blotter (Nippon Eido, Tokyo, Japan). The blotted membrane was blocked for 5 min in Bullet Blocking One regent (Nacalai Tesque, Kyoto, Japan). After blocking, the membrane was cross-reacted with a 1:1000 dilution of the primary antibodies for 1 h at room temperature. As primary antibodies, the followings were used: anti-ascorbate peroxidases (APX) [72], anti-glutathione reductase (GR) (Agrisera, Vännäs, Sweden), anti-peroxiredoxin (PRX) [44], anti-fructose-bisphosphate aldolase (FBPA) [73], anti-triose phosphate isomerase (TPI) (provided by Proteomic Laboratory in Fukui University of Technology, Fukui, Japan), anti-glyceraldehyde-3-phosphate dehydrogenase (GAPDH) (provided by Proteomic Laboratory in Fukui University of Technology) antibodies. Anti-rabbit IgG conjugated with horseradish peroxidase (Bio-Rad, Hercules, CA, USA) was used as the secondary antibody. After 1 h incubation, signals were detected using TMB Membrane Peroxidase Substrate kit (Seracare, Milford, MA, USA) following the manufacturer’s protocol. Coomassie brilliant blue (CBB) staining was used as loading control. The integrated densities of bands were calculated using Image J software (version 1.8, National Institutes of Health, Bethesda, MD, USA).

4.9. Statistical Analysis

The statistical significance of two groups was evaluated by the Student’s t-test. The statistical significance of multiple groups was evaluated by one-way ANOVA test. SPSS 20.0 (IBM, Chicago, IL, USA) statistical software was used for the evaluation of the results. A p-value of less than 0.05 was considered as statistically significant.

4.10. Accession Code

For MS data, RAW data, peak lists and result files have been deposited in the ProteomeXchange Consortium [74] via the jPOST [75] partner repository under data-set identifiers PXD013889.

5. Conclusions

Millimeter-waves irradiation has been proved to act as a growth regulator in several plants [25,26,27,28], however, its effect on soybean has not been studied yet. The productivity of soybean is largely dependent on the plant’s early stage development, during which the soybean growth is easily influenced by environmental stressors such as flooding [6,7]. To investigate the possibility of millimeter-waves irradiation promoting soybean productivity, the potential promotive effect of millimeter-waves irradiation on soybean growth were performed based on morphological, proteomic, and immunoblot analysis. The main findings are: (i) millimeter-waves irradiation of 10 mW (0.13 mW/cm2) for 20 min improved the growth of roots/hypocotyl and the tolerance of soybean to flooding stress; (ii) the inhibitory effect to glycolysis during soybean growth recovered as a result of millimeter-waves irradiation; (iii) the soybean seedlings irradiated with millimeter waves were more tolerant to oxidative stress with the up-regulation of APX; and (iv) sugar metabolism was suppressed under flooding in unirradiated soybean seedlings, but it was activated in irradiated soybean seedlings. Taken together, these results suggest that millimeter-waves irradiation has positive effects on soybean seedlings through the regulation of glycolysis and redox related pathways. Furthermore, activation of sugar metabolism in irradiated-soybean seedlings might play an important role in soybean tolerance under flooding stress.

Supplementary Materials

Supplementary materials can be found at https://www.mdpi.com/1422-0067/21/2/486/s1. Table S1. List of changed proteins between soybean seedlings irradiated with or without millimeter waves at the starting point. Table S2. List of changed proteins between irradiated and unirradiated soybean seedlings without flooding stress. Table S3. List of changed proteins between irradiated and unirradiated soybean seedlings with flooding stress. Table S4. List of changed proteins from unirradiated and unflooded soybean seedlings during growth. Table S5. List of changed proteins from unirradiated but flooded soybean seedlings during growth. Table S6. List of changed proteins from irradiated and unflooded soybean seedlings during growth. Table S7. List of changed proteins from irradiated and flooded soybean seedlings during growth. Figure S1. Device for millimeter-waves irradiation emission. Figure S2. Experimental design for investigation of the effect of millimeter-waves irradiation on soybean growth under flooding. Figure S3. Morphological effect of irradiation dose of millimeter waves on soybean. Supplemental Figure S4. Overview of total proteomic data from 18 samples based on PCA. Figure S5. The Coomassie brilliant blue staining pattern of proteins used for immunoblot analysis. Figure S6. Blots of the entire membrane with anti-APX, GR, and PRX antibody which used in Figure 7. Figure S7. Blots of the entire membrane with anti-FBPA, TPI, and GAPDH antibody which used in Figure 8.

Author Contributions

S.K., T.F., Z.Z. and K.U. prepared the materials and irradiated with millimeter waves; S.K. and Z.Z. performed morphological measurement and protein preparation; H.Y., K.H. and K.T. performed MS analysis; S.K. and K.U. performed the immunoblot analysis; S.K., Z.Z. and J.T. analyzed the data and wrote the paper. Z.Z., T.F., K.U., H.Y., K.H., K.T., M.T., J.T. and S.K. read the paper. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

LCLiquid chromatography
MSMass spectrometry
PDProtein discoverer
FDRFalse discovery rate
CBBCoomassie brilliant blue
APXAscorbate peroxidase
GRGlutathione reductase
PRXPeroxiredoxin
FBPAFructose-bisphosphate aldolase
TPITriose phosphate isomerase
GAPDHGlyceraldehyde 3-phosphate dehydrogenase
PCAPrinciple component analysis

References

  1. Chen, W.M.; Moulin, L.; Bontemps, C.; Vandamme, P.; Béna, G.; Boivin-Masson, C. Legume symbiotic nitrogen fixation by β-proteobacteria is widespread in nature. J. Bacteriol. 2003, 185, 7266–7272. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Schutyser, M.A.I.; Pelgrom, P.J.M.; Van der Goot, A.J.; Boom, R.M. Dry fractionation for sustainable production of functional legume protein concentrates. Trends Food Sci. Technol. 2015, 45, 327–335. [Google Scholar] [CrossRef]
  3. Jeske, S.; Zannini, E.; Arendt, E.K. Evaluation of physicochemical and glycaemic properties of commercial plant-based milk substitutes. Plant Foods Hum. Nutr. 2017, 72, 26–33. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Schutyser, M.A.I.; Van der Goot, A.J. The potential of dry fractionation processes for sustainable plant protein production. Trends Food Sci. Technol. 2011, 22, 154–164. [Google Scholar] [CrossRef]
  5. Hartman, G.L.; West, E.D.; Herman, T.K. Crops that feed the world 2. Soybean-worldwide production, use, and constraints caused by pathogens and pests. Food Secur. 2011, 3, 5–17. [Google Scholar] [CrossRef]
  6. Komatsu, S.; Hiraga, S.; Yanagawa, Y. Proteomics techniques for the development of flood tolerant crops. J. Proteome Res. 2012, 11, 68–78. [Google Scholar] [CrossRef] [PubMed]
  7. Russell, D.A.; Wong, D.M.L.; Sachs, M.M. The anaerobic response of soybean. Plant Physiol. 1990, 92, 401–407. [Google Scholar] [CrossRef] [Green Version]
  8. Dennis, E.S.; Dolferus, R.; Ellis, M.; Rahman, M.; Wu, Y.; Hoeren, F.U.; Grover, A.; Ismond, K.P.; Good, A.G.; Peacock, W.J. Molecular strategies for improving water-logging tolerance in plants. J. Exp. Bot. 2000, 51, 89–97. [Google Scholar] [CrossRef]
  9. Jackson, M.B. Rapid injury to peas by soil waterlogging. J. Sci. Food Agric. 1979, 30, 143–152. [Google Scholar] [CrossRef]
  10. Grable, A.R.; Danielson, R.E. Effect of carbon dioxide, oxygen, and soil moisture suction on germination of corn and soybeans. Soil Sci. Soc. Am. J. 1965, 29, 12–18. [Google Scholar] [CrossRef]
  11. Gibbs, J.; Greenway, H. Mechanisms of anoxia tolerance in plants. I. Growth, survival and anaerobic catabolism. Funct. Plant Biol. 2003, 30, 1–47. [Google Scholar] [CrossRef]
  12. McWilliams, D.A.; Berglund, D.R.; Endres, G.J. Soybean Growth and Management Quick Guide; North Dakota State University Fargo: Fargo, ND, USA, 1999. [Google Scholar]
  13. Nakayama, N.; Hashimoto, S.; Shimada, S.; Takahashi, M.; Kim, Y.; Oya, T.; Arihara, J. The effect of flooding stress at the germination stage on the growth of soybean in relation to initial seed moisture content. Jpn. J. Crop Sci. 2004, 74, 325–329. (In Japanese) [Google Scholar] [CrossRef] [Green Version]
  14. Yanagawa, Y.; Komatsu, S. Ubiquitin/proteasome-mediated proteolysis is involved in the response to flooding stress in soybean roots, independent of oxygen limitation. Plant Sci. 2012, 185, 250–258. [Google Scholar] [CrossRef] [PubMed]
  15. Mathesius, U.; Djordjvic, M.A.; Oakes, M.; Goffard, N.; Haerizadeh, F.; Weiller, G.F.; Singh, M.B.; Bhalla, P.L. Comparative proteomic profiles of the soybean (Glycine max) root apex and differentiated root zone. Proteomics 2011, 11, 1707–1719. [Google Scholar] [CrossRef] [PubMed]
  16. Shi, F.; Yamamoto, R.; Shimamura, S.; Hiraga, S.; Nakayama, N.; Nakamura, T.; Yukawa, K.; Hachinohe, M.; Matsumoto, H.; Komatsu, S. Cytosolic ascorbate peroxidase 2 (cAPX 2) is involved in the soybean response to flooding. Phytochemistry 2008, 69, 1295–1303. [Google Scholar] [CrossRef] [PubMed]
  17. Komatsu, S.; Han, C.; Nanjo, Y.; Altaf-Un-Nahar, M.; Wang, K.; He, D.; Yang, P. Label-free quantitative proteomic analysis of abscisic acid effect in early-stage soybean under flooding. J. Proteome Res. 2013, 12, 4769–4784. [Google Scholar] [CrossRef]
  18. Komatsu, S.; Nanjo, Y.; Nishimura, M. Proteomic analysis of the flooding tolerance mechanism in mutant soybean. J. Proteom. 2013, 79, 231–250. [Google Scholar] [CrossRef]
  19. Li, X.; Rehman, S.U.; Yamaguchi, H.; Hitachi, K.; Tsuchida, K.; Yamaguchi, T.; Sunohara, Y.; Matsumoto, H.; Komatsu, S. Proteomic analysis of the effect of plant-derived smoke on soybean during recovery from flooding stress. J. Proteom. 2018, 181, 238–248. [Google Scholar] [CrossRef]
  20. Sheen, D.M.; McMakin, D.L.; Hall, T.E. Detection of explosives by millimeter-wave imaging. Count. Detect. Tech. Explos. 2007, 237–277. [Google Scholar] [CrossRef]
  21. Mignone, C.; Barnes, R. More than meets the eye: The electromagnetic spectrum. Sci. Sch. 2011, 20, 51–59. [Google Scholar]
  22. Usatii, A.; Molodoi, E.; Rotaru, A.; Moldoveanu, T. The influence of low intensity millimeter waves on the multiplication and biosynthetic activity of Saccharomyces carlsbergensis CNMN-Y-15 yeast. Ann. Oradea Univ. Biol. Fascicle 2010, 17, 208–212. [Google Scholar]
  23. Betskii, O.; Lebedeva, N.; Tambiev, A.; Kirikova, N.; Slavin, V. Millimeter waves in the newest agricultural biotechnologies. J. Sci. Eng. 2007, 23, 236–252. [Google Scholar]
  24. Jakubowski, T. The impact of microwave radiation at different frequencies on weight of seed potato germs and crop of potato tubers. Inżynieria Rol. 2010, 14, 57–64. [Google Scholar]
  25. Baghel, L.; Kataria, S.; Guruprasad, K.N. Static magnetic field treatment of seeds improves carbon and nitrogen metabolism under salinity stress in soybean. Bioelectromagnetics 2016, 37, 455–470. [Google Scholar] [CrossRef]
  26. Asghar, T.; Jamil, Y.; Iqbal, M.; Abbas, M. Laser light and magnetic field stimulation effect on biochemical, enzymes activities and chlorophyll contents in soybean seeds and seedlings during early growth stages. J. Photochem. Photobiol. B Biol. 2016, 165, 283–290. [Google Scholar] [CrossRef]
  27. Sheykhbaglou, R.; Sedghi, M.; Fathi-Achachlouie, B. The effect of ferrous nano-oxide particles on physiological traits and nutritional compounds of soybean (Glycine max L.) seed. An. Acad. Bras. Ciênc. 2018, 90, 485–494. [Google Scholar] [CrossRef] [Green Version]
  28. Nanjo, Y.; Skultety, L.; Ashraf, Y.; Komatsu, S. Comparative proteomic analysis of early-stage soybean seedlings responses to flooding by using gel and gel-free techniques. J. Proteom. Res. 2010, 9, 3989–4002. [Google Scholar] [CrossRef]
  29. Velasco, R.; Salamini, F.; Bartels, D. Dehydration and ABA increase mRNA levels and enzyme activity of cytosolic GAPDH in the resurrection plant Craterostigma plantagineum. Plant Mol. Biol. 1994, 26, 541–546. [Google Scholar] [CrossRef]
  30. Vidigal, P.; Carvalho, R.; Amâncio, S.; Carvalho, L. Peroxiredoxins are involved in two independent signalling pathways in the abiotic stress protection in Vitis vinifera. Biol. Plant 2013, 57, 675–683. [Google Scholar] [CrossRef]
  31. Wang, X.; Sakata, K.; Komatsu, S. An integrated approach of proteomics and computational genetic modification effectiveness analysis to uncover the mechanisms of flood tolerance in soybeans. Int. J. Mol. Sci. 2018, 19, 1301. [Google Scholar] [CrossRef] [Green Version]
  32. Nishizawa, K.; Komatsu, S. Characteristics of soybean 1-Cys peroxiredoxin and its behavior in seedlings under flooding stress. Plant Biotechnol. 2011, 28, 83–88. [Google Scholar] [CrossRef]
  33. Torgomyan, H.; Trchounian, A. Bactericidal effects of low-intensity extremely high frequency electromagnetic field: An overview with phenomenon, mechanisms, targets and consequences. Crit. Rev. Microbiol. 2013, 39, 102–111. [Google Scholar] [CrossRef] [PubMed]
  34. Jinapang, P.; Prakob, P.; Wongwattananard, P.; Islam, N.E.; Kirawanich, P. Growth characteristics of mung beans and water convolvuluses exposed to 425-MHz Electromagnetic Fields. Bioelectromagnetics 2010, 31, 519–527. [Google Scholar] [CrossRef] [PubMed]
  35. Surducan, E.; Surducan, V.; Butiuc-Keul, A.; Halmagy, A. Microwaves irradiation experiments on biological samples. Studia UBB Biol. 2013, 1, 83–98. [Google Scholar]
  36. Mildažienė, V.; Aleknavičiūtė, V.; Žūkienė, R.; Paužaitė, G.; Naučienė, Z.; Filatova, I.; Lyushkevich, V.; Haimi, P.; Tamošiūnė, I.; Baniulis, D. Treatment of common sunflower (Helianthus annus L.) seeds with radio-frequency electromagnetic field and cold plasma induces changes in seed phytohormone balance, seedling development and leaf protein expression. Sci. Rep. 2019, 9, 6437. [Google Scholar] [CrossRef]
  37. Halmagyi, A.; Surducan, E.; Surducan, V. The effect of low- and high-power microwave irradiation on in vitro grown sequoia plants and their recovery after cryostorage. J. Biol. Phys. 2017, 43, 367–379. [Google Scholar] [CrossRef]
  38. Calzoni, G.L.; Borghini, F.; Del Giudice, E.; Betti, L.; Dal Rio, F.; Migliori, M.; Trebbi, G.; Speranza, A. Weak extremely high frequency microwaves affect pollen-tube emergence and growth in kiwifruit: Pollen grain irradiation and water-mediated effects. J. Altern. Complement. Med. 2003, 9, 217–233. [Google Scholar] [CrossRef]
  39. Yang, T.; Poovaiah, B.W. Arabidopsis chloroplast chaperonin 10 is a calmodulin-binding protein. Biochem. Biophys. Res. Commun. 2000, 275, 601–607. [Google Scholar] [CrossRef]
  40. Wang, W.; Vinocur, B.; Shoseyov, O.; Altman, A. Role of plant heat-shock proteins and molecular chaperones in the abiotic stress response. Trends Plant Sci. 2004, 9, 244–252. [Google Scholar] [CrossRef]
  41. Yin, G.; Sun, H.; Xin, X.; Qin, G.; Liang, Z.; Jing, X. Mitochondrial damage in the soybean seed axis during imbibition at chilling temperatures. Plant Cell Physiol. 2009, 50, 1305–1318. [Google Scholar] [CrossRef] [Green Version]
  42. Mullarky, E.; Cantley, L.C. Diverting glycolysis to combat oxidative stress. In Innovative Medicine; Nakao, K., Minato, N., Uemoto, S., Eds.; Springer: Tokyo, Japan, 2015; pp. 3–23. [Google Scholar]
  43. Zhang, J.; Wang, S.; Jiang, B.; Huang, L.; Ji, Z.; Li, X.; Zhou, H.; Han, A.; Chen, A.; Wu, Y.; et al. C-Src phosphorylation and activation of hexokinase promotes tumorigenesis and metastasis. Nat. Commun. 2017, 8, 1–16. [Google Scholar] [CrossRef] [PubMed]
  44. Yin, X.; Komatsu, S. Comprehensive analysis of response and tolerant mechanisms in early-stage soybean at initial-flooding stress. J. Proteom. 2017, 169, 225–232. [Google Scholar] [CrossRef] [PubMed]
  45. Greenway, H.; Gibbs, J. Mechanisms of anoxia tolerance in plants. II. Energy requirements for maintenance and energy distribution to essential processes. Funct. Plant Biol. 2003, 30, 999–1036. [Google Scholar] [CrossRef]
  46. Liao, C.T.; Lin, C.H. Physiological adaptation of crop plants to flooding stress. Proc. Natl. Sci. Counc. Repub. China B 2001, 25, 148–157. [Google Scholar]
  47. Sairam, R.K.; Dharmar, K.; Chinnusamy, V.; Meena, R.C. Waterlogging-induced increase in sugar mobilization, fermentation, and related gene expression in the roots of mung bean (Vigna radiata). J. Plant Physiol. 2009, 166, 602–616. [Google Scholar] [CrossRef]
  48. Chang, Y.M.; Chen, L.C.; Wang, H.Y.; Chiang, C.L.; Chang, C.T.; Chung, Y.C. Characterization of an acidic chitinase from seeds of black soybean (Glycine max (L.) Merr Tainan No. 3). PLoS ONE 2014, 9, 1–15. [Google Scholar] [CrossRef] [Green Version]
  49. Kong, F.J.; Oyanagi, A.; Komatsu, S. Cell wall proteome of wheat roots under flooding stress using gel-based and LC MS/MS-based proteomics approaches. Biochim. Biophys. Acta Proteins Proteom. 2010, 1804, 124–136. [Google Scholar] [CrossRef]
  50. Rathore, R.S.; Garg, N.; Garg, S.; Kumar, A. Starch Phosphorylase: Role in starch metabolism and biotechnological applications. Crit. Rev. Biotechnol. 2009, 29, 214–224. [Google Scholar] [CrossRef]
  51. Takaha, T.; Yanase, M.; Okada, S.; Smith, S.M. Disproportionating enzyme (4-α-glucanotransferase; EC 2.4.1.25) of potato. Purification, molecular cloning, and potential role in starch metabolism. J. Biol. Chem. 1993, 268, 1391–1396. [Google Scholar]
  52. Yang, Y.; Kwon, H.B.; Peng, H.P.; Shih, M.C. Stress responses and metabolic regulation of glyceraldehyde-3-phosphate dehydrogenase genes in Arabidopsis. Plant Physiol. 1993, 101, 209–216. [Google Scholar] [CrossRef] [Green Version]
  53. Cho, J.I.; Lim, H.M.; Siddiqui, Z.S.; Park, S.H.; Kim, A.R.; Kwon, T.R.; Lee, S.K.; Park, S.C.; Jeong, M.J.; Lee, G.S. Over-expression of PsGPD, a mushroom glyceraldehyde-3-phosphate dehydrogenase gene, enhances salt tolerance in rice plants. Biotechnol. Lett. 2014, 36, 1641–1648. [Google Scholar] [CrossRef] [PubMed]
  54. Lunn, J.E.; Delorge, I.; Figueroa, C.M.; Van Dijck, P.; Stitt, M. Trehalose metabolism in plants. Plant J. 2014, 79, 544–567. [Google Scholar] [CrossRef] [PubMed]
  55. Schluepmann, H.; Pellny, T.; van Dijken, A.; Smeekens, S.; Paul, M. Trehalose 6-phosphate is indispensable for carbohydrate utilization and growth in Arabidopsis Thaliana. Proc. Natl. Acad. Sci. USA 2003, 100, 6849–6854. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Gómez, L.D.; Gilday, A.; Feil, R.; Lunn, J.E.; Graham, I.A. AtTPS1-mediated trehalose 6-phosphate synthesis is essential for embryogenic and vegetative growth and responsiveness to ABA in germinating seeds and stomatal guard cells. Plant J. 2010, 64, 1–13. [Google Scholar] [CrossRef]
  57. Grennan, A.K. The role of trehalose biosynthesis in plants. Plant Physiol. 2007, 144, 3–5. [Google Scholar] [CrossRef] [Green Version]
  58. Mittler, R.; Vanderauwera, S.; Gollery, M.; Van Breusegem, F. Reactive oxygen gene network of plants. Trends Plant Sci. 2004, 9, 490–498. [Google Scholar] [CrossRef]
  59. Wang, P.; Yin, L.; Liang, D.; Li, C.; Ma, F.; Yue, Z. Delayed senescence of apple leaves by exogenous melatonin treatment: Toward regulating the ascorbate-glutathione cycle. J. Pineal Res. 2012, 53, 11–20. [Google Scholar] [CrossRef]
  60. Pandey, P.; Singh, J.; Achary, V.M.M.; Reddy, M.K. Redox homeostasis via gene families of ascorbate-glutathione pathway. Front. Environ. Sci. 2015, 3, 1–14. [Google Scholar] [CrossRef] [Green Version]
  61. Sofo, A.; Scopa, A.; Nuzzaci, M.; Vitti, A. Ascorbate peroxidase and catalase activities and their genetic regulation in plants subjected to drought and salinity stresses. Int. J. Mol. Sci. 2015, 16, 13561–13578. [Google Scholar] [CrossRef] [Green Version]
  62. Wood, Z.A.; Schröder, E.; Harris, J.R.; Poole, L.B. Structure, mechanism and regulation of peroxiredoxins. Trends Biochem. Sci. 2003, 28, 32–40. [Google Scholar] [CrossRef]
  63. Perkins, A.; Nelson, K.J.; Parsonage, D.; Poole, L.B.; Karplus, P.A. Peroxiredoxins: Guardians against oxidative stress and modulators of peroxide signaling. Trends Biochem. Sci. 2015, 40, 435–445. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Sobotta, M.C.; Liou, W.; Stöcker, S.; Talwar, D.; Oehler, M.; Ruppert, T.; Scharf, A.N.D.; Dick, T.P. Peroxiredoxin-2 and STAT3 form a redox relay for H2O2 signaling. Nat. Chem. Biol. 2015, 11, 64–70. [Google Scholar] [CrossRef] [PubMed]
  65. Haddad, R.; Japelaghi, R.H. Isolation of grape peroxiredoxin gene responding to abiotic stresses. Russ. J. Plant Physiol. 2015, 62, 856–865. [Google Scholar] [CrossRef]
  66. Bradford, M.M. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal. Biochem. 1976, 72, 248–254. [Google Scholar] [CrossRef]
  67. Tyanova, S.; Temu, T.; Sinitcyn, P.; Carlson, A.; Hein, M.Y.; Geiger, T.; Mann, M.; Cox, J. The Perseus computational platform for comprehensive analysis of (prote) omics data. Nat. Methods 2016, 13, 731–740. [Google Scholar] [CrossRef]
  68. Usadel, B.; Nagel, A.; Thimm, O.; Redestig, H.; Blaesing, O.E.; Rofas, N.P.; Selbig, J.; Hannemann, J.; Piques, M.C.; Steinhauser, D.; et al. Extension of the visualization tool MapMan to allow statistical analysis of arrays, display of corresponding genes and comparison with known responses. Plant Physiol. 2005, 138, 1195–1204. [Google Scholar] [CrossRef] [Green Version]
  69. Usadel, B.; Poree, F.; Nagel, A.; Loshe, M.; Czedik-Eysenberg, A.; Sitt, M. A guide to using MapMan to visualize and compare omics in plants: A case study in the crop species, maize. Plant Cell Environ. 2009, 32, 1211–1229. [Google Scholar] [CrossRef]
  70. Kanehisa, M.; Goto, S. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000, 28, 27–30. [Google Scholar] [CrossRef]
  71. Laemmli, U.K. Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature 1970, 227, 680–685. [Google Scholar] [CrossRef]
  72. Komatsu, S.; Yamamoto, A.; Nakamura, T.; Nouri, M.Z.; Nanjo, Y.; Nishizawa, K.; Furukawa, K. Comprehensive analysis of mitochondria in roots and hypocotyls of soybean under flooding stress using proteomics and metabolomics techniques. J. Proteome Res. 2011, 10, 3993–4004. [Google Scholar] [CrossRef]
  73. Konishi, H.; Yamane, H.; Maeshima, M.; Komatsu, S. Characterization of fructose-bisphosphate aldolase regulated by gibberellin in roots of rice seedling. Plant Mol. Biol. 2004, 56, 839–848. [Google Scholar] [CrossRef] [PubMed]
  74. Vizcaíno, J.A.; Côté, R.G.; Csordas, A.; Dianes, J.A.; Fabregat, A.; Foster, J.M.; Griss, J.; Alpi, E.; Birim, M.; Contell, J.; et al. The PRoteomics IDEntifications (PRIDE) database and associated tools: Status in 2013. Nucleic Acids Res. 2013, 41, D1063–D1069. [Google Scholar] [CrossRef] [PubMed]
  75. Okuda, S.; Watanabe, Y.; Moriya, Y.; Kawano, S.; Yamamoto, T.; Matsumoto, M.; Takami, T.; Kobayashi, D.; Araki, N.; Yoshizawa, A.C.; et al. jPOSTTrepo: An international standard data repository for proteomes. Nucleic Acids Res. 2017, 45, D1107–D1111. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Ijms 21 00486 g001 550
Figure 1. Morphological effect of irradiation of millimeter waves on soybean. Soybean seeds irradiated with millimeter waves were sowed and treated, which is indicated in materials and method. Bar indicates 1 cm. Column graph shows the length of main root/hypocotyl and line graph shows the weight of main root/hypocotyl. Data are shown as means ± SD from three independent biological replicates. The different letters indicate significant changes according to one-way ANOVA followed by Tukey’s multiple comparisons (p < 0.05).
Figure 1. Morphological effect of irradiation of millimeter waves on soybean. Soybean seeds irradiated with millimeter waves were sowed and treated, which is indicated in materials and method. Bar indicates 1 cm. Column graph shows the length of main root/hypocotyl and line graph shows the weight of main root/hypocotyl. Data are shown as means ± SD from three independent biological replicates. The different letters indicate significant changes according to one-way ANOVA followed by Tukey’s multiple comparisons (p < 0.05).
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Figure 2. Functional categories of proteins in root-hypocotyl tissue with differential abundance in soybean treated with millimeter-waves irradiation and flooding. Soybean seeds irradiated with millimeter waves were sowed and treated, which is indicated in materials and method. Functional categories of significantly changed proteins (p < 0.05) from unirradiated/irradiated and unflooded/flooded during growth were determined using MapMan bin codes. Abbreviation: mitoETC, mitochondrial electron transport chain. “others*” contains proteins related to gluco-neogenesis/glyoxylate cycle, polyamine metabolism, S-assimilation, biodegradation of xenobiotics, N-metabolism, tetrapyrrole synthesis, C1-metabolism, Co-factor and vitamin metabolism, metal handling, and oxidative pentose phosphate pathway. “others**” contains proteins related to gluco-neogenesis, S-assimilation, transporter, polyamine metabolism, biodegradation of xenobiotics, tetrapyrrole synthesis, Co-factor and vitamin metabolism, oxidative pentose phosphate pathway, C1-metabolism, N-metabolism, metal handling, and fermentation. “not assigned” indicates proteins without ontology or characterized functions.
Figure 2. Functional categories of proteins in root-hypocotyl tissue with differential abundance in soybean treated with millimeter-waves irradiation and flooding. Soybean seeds irradiated with millimeter waves were sowed and treated, which is indicated in materials and method. Functional categories of significantly changed proteins (p < 0.05) from unirradiated/irradiated and unflooded/flooded during growth were determined using MapMan bin codes. Abbreviation: mitoETC, mitochondrial electron transport chain. “others*” contains proteins related to gluco-neogenesis/glyoxylate cycle, polyamine metabolism, S-assimilation, biodegradation of xenobiotics, N-metabolism, tetrapyrrole synthesis, C1-metabolism, Co-factor and vitamin metabolism, metal handling, and oxidative pentose phosphate pathway. “others**” contains proteins related to gluco-neogenesis, S-assimilation, transporter, polyamine metabolism, biodegradation of xenobiotics, tetrapyrrole synthesis, Co-factor and vitamin metabolism, oxidative pentose phosphate pathway, C1-metabolism, N-metabolism, metal handling, and fermentation. “not assigned” indicates proteins without ontology or characterized functions.
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Figure 3. Mapping on metabolic pathways of differentially changed proteins identified from soybean seedling irradiated without (control) or with millimeter waves (treated) under flooded or unflooded conditions. (A) Mapping from unirradiated soybean under unflooded conditions. (B) Mapping from irradiated soybean under unflooded conditions. (C) Mapping from unirradiated soybean under flooding. (D) Mapping from irradiated soybean under flooding. Changed proteins were submitted to the MapMan software and mapped to metabolic pathways. Each square indicates one mapped protein. Color indicates the fold change value of a differentially changed protein. Red and blue colors indicate an increase and decrease in fold change values, respectively. Abbreviations: CHO, carbohydrate metabolism; MitoETC, mitochondrial electron transport chain; misc, miscellaneous; OPP, oxidative pentose phosphate pathway; TCA, tricarboxylic acid cycle.
Figure 3. Mapping on metabolic pathways of differentially changed proteins identified from soybean seedling irradiated without (control) or with millimeter waves (treated) under flooded or unflooded conditions. (A) Mapping from unirradiated soybean under unflooded conditions. (B) Mapping from irradiated soybean under unflooded conditions. (C) Mapping from unirradiated soybean under flooding. (D) Mapping from irradiated soybean under flooding. Changed proteins were submitted to the MapMan software and mapped to metabolic pathways. Each square indicates one mapped protein. Color indicates the fold change value of a differentially changed protein. Red and blue colors indicate an increase and decrease in fold change values, respectively. Abbreviations: CHO, carbohydrate metabolism; MitoETC, mitochondrial electron transport chain; misc, miscellaneous; OPP, oxidative pentose phosphate pathway; TCA, tricarboxylic acid cycle.
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Figure 4. Mapping of differentially changed proteins that related to glycolysis identified from root-hypocotyl tissue of irradiated (treated)/unirradiated soybean (control) during early seedling growth. Proteins were extracted from flooded and unflooded soybean seedlings. (A) Mapping from unirradiated soybean under unflooded conditions. (B) Mapping from irradiated soybean under unflooded conditions. (C) Mapping from unirradiated soybean under flooding. (D) Mapping from irradiated soybean under flooding. Proteins neither detected nor changed are marked in white. Abbreviations: GAPDH, glyceraldehyde 3-phosphate dehydrogenase. The number in the box indicates the enzyme commission number of corresponding proteins.
Figure 4. Mapping of differentially changed proteins that related to glycolysis identified from root-hypocotyl tissue of irradiated (treated)/unirradiated soybean (control) during early seedling growth. Proteins were extracted from flooded and unflooded soybean seedlings. (A) Mapping from unirradiated soybean under unflooded conditions. (B) Mapping from irradiated soybean under unflooded conditions. (C) Mapping from unirradiated soybean under flooding. (D) Mapping from irradiated soybean under flooding. Proteins neither detected nor changed are marked in white. Abbreviations: GAPDH, glyceraldehyde 3-phosphate dehydrogenase. The number in the box indicates the enzyme commission number of corresponding proteins.
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Figure 5. Mapping of differentially changed proteins that related to ascorbate and glutathione metabolism identified from irradiated (treated)/unirradiated (control) soybean root. Proteins were extracted from flooded and unflooded soybean seedlings. (A) Mapping from unirradiated soybean under unflooded conditions. (B) Mapping from irradiated soybean under unflooded conditions. (C) Mapping from unirradiated soybean under flooding. (D) Mapping from irradiated soybean under flooding. Proteins neither detected nor changed are marked in white. The number in the box indicates the enzyme commission number of corresponding proteins.
Figure 5. Mapping of differentially changed proteins that related to ascorbate and glutathione metabolism identified from irradiated (treated)/unirradiated (control) soybean root. Proteins were extracted from flooded and unflooded soybean seedlings. (A) Mapping from unirradiated soybean under unflooded conditions. (B) Mapping from irradiated soybean under unflooded conditions. (C) Mapping from unirradiated soybean under flooding. (D) Mapping from irradiated soybean under flooding. Proteins neither detected nor changed are marked in white. The number in the box indicates the enzyme commission number of corresponding proteins.
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Figure 6. Mapping of differentially changed proteins in soybean root related to sugar metabolism. Proteins were identified from soybean seedlings treated without or with millimeter-waves irradiation under flooded and unflooded conditions. Pathway map was determined on KEGG database. (A) Mapping from unirradiated soybean under unflooded conditions. (B) Mapping from irradiated soybean under unflooded conditions. (C) Mapping from unirradiated soybean under flooding. (D) Mapping from irradiated soybean under flooding. Proteins neither detected nor changed are marked in white. The number in the box indicates the enzyme commission number of corresponding proteins.
Figure 6. Mapping of differentially changed proteins in soybean root related to sugar metabolism. Proteins were identified from soybean seedlings treated without or with millimeter-waves irradiation under flooded and unflooded conditions. Pathway map was determined on KEGG database. (A) Mapping from unirradiated soybean under unflooded conditions. (B) Mapping from irradiated soybean under unflooded conditions. (C) Mapping from unirradiated soybean under flooding. (D) Mapping from irradiated soybean under flooding. Proteins neither detected nor changed are marked in white. The number in the box indicates the enzyme commission number of corresponding proteins.
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Figure 7. Immunoblot analysis of proteins involved in ascorbate/glutathione pathway. Proteins were extracted from soybean seedlings and separated on 10% SDS-polyacrylamide gel by electrophoresis and transferred onto membranes. The membranes were cross-reacted with anti-APX, anti-GR, and anti-PRX antibodies. CBB staining pattern was used as loading control (Figure S5). The integrated densities of bands were calculated using ImageJ software. Picture shows three independent biological replicates (Figure S6). Data are shown as the means ± SD from three independent biological replicates.
Figure 7. Immunoblot analysis of proteins involved in ascorbate/glutathione pathway. Proteins were extracted from soybean seedlings and separated on 10% SDS-polyacrylamide gel by electrophoresis and transferred onto membranes. The membranes were cross-reacted with anti-APX, anti-GR, and anti-PRX antibodies. CBB staining pattern was used as loading control (Figure S5). The integrated densities of bands were calculated using ImageJ software. Picture shows three independent biological replicates (Figure S6). Data are shown as the means ± SD from three independent biological replicates.
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Figure 8. Immunoblot analysis of proteins involved in glycolysis pathway. Proteins were extracted and separated on 10% SDS-polyacrylamide gel by electrophoresis and transferred onto membranes. The membranes were cross-reacted with anti-FBPA, anti-TPI, and anti-GAPDH antibodies. CBB staining pattern were used as loading control (Figure S5). The integrated densities of bands were calculated using ImageJ software. Pictures shows three independent biological replicates (Figure S7). Data are shown as means ± SD from three independent biological replicates.
Figure 8. Immunoblot analysis of proteins involved in glycolysis pathway. Proteins were extracted and separated on 10% SDS-polyacrylamide gel by electrophoresis and transferred onto membranes. The membranes were cross-reacted with anti-FBPA, anti-TPI, and anti-GAPDH antibodies. CBB staining pattern were used as loading control (Figure S5). The integrated densities of bands were calculated using ImageJ software. Pictures shows three independent biological replicates (Figure S7). Data are shown as means ± SD from three independent biological replicates.
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Table
Table 1. List of proteins altered at all three stages (2-day old, 4-day old without flooding, 4-day old with flooding) of soybean irradiated with millimeter waves.
Table 1. List of proteins altered at all three stages (2-day old, 4-day old without flooding, 4-day old with flooding) of soybean irradiated with millimeter waves.
NumberAccession aDescriptionFunctional Category bStarting PointFold Change cFlooded
Unflooded
1I1JGU8phospho-2-dehydro-3-deoxyheptonate aldolaseamino acid metabolism1.22−0.61−0.63
2I1JEV7carboxylesterase 2biodegradation of xenobiotics0.720.350.56
3C6SX10mitochondrial fission 1 proteincell−2.26−1.39−1.66
4Q9M7N4MFP1 attachment factor 1cell−1.51−2.432.60
5I1N3E1phosphorylethanolamine cytidylyltransferase 1cell−0.722.31−2.30
6I1K6P4uncharacterized proteincell1.02−0.66−1.58
7Q09WE7UDP-sugar pyrophosphorylase 1cell wall−1.220.810.38
8V6CKR0expansincell wall−0.76−0.380.54
9Q9SEK9seed maturation protein PM25development−1.75−2.49−1.06
10I1L849seed maturation proteindevelopment−0.88−0.72−2.80
11I1LE33cupin family proteindevelopment−1.89−1.83−2.36
12I1L860cupin family proteindevelopment−3.01−3.54−3.28
13I1KY39citrate synthasegluconeogenese/glyoxylate cycle−0.46−0.400.56
14I1LY5112-oxophytodienoate reductasehormone metabolism0.700.530.37
15A0A0R0IYE6lipoxygenasehormone metabolism0.851.431.34
16A0A0R0K553uncharacterized proteinhormone metabolism−1.08−0.67−0.38
17A0A0R0GAV8acyl-CoA dehydrogenase family member 10lipid metabolism−1.23−0.540.88
18I1MRK13-hydroxybutyryl-CoA epimeraselipid metabolism0.970.77−2.38
19I1M928acyl-lipid (9-3)-desaturase isoform Blipid metabolism−2.521.610.98
20O22378metallothionein-II proteinmetal handling−3.072.560.40
21I1K146cytochrome c1-1, heme proteinmitoETC−0.80−0.600.45
22C6SWW6cytochrome c oxidase subunit 6amitoETC1.11−0.35−0.98
23I1KEH3electron transfer flavoprotein subunit alphamitoETC−0.38−0.320.88
24I1J9Q7glutamate dehydrogenasenitrogen metabolism−1.31−0.613.52
25I1ML46uncharacterized proteinnucleotide metabolism1.531.081.06
26Q2PMU2photosystem I P700 chlorophyll a apoprotein A2photosynthesis1.520.703.04
27P49161cytochrome fphotosynthesis1.210.850.69
28A0A0R0I8Z5chlorophyll a-b binding proteinphotosynthesis1.180.911.72
29Q2PMQ9photosystem II CP47 reaction center proteinphotosynthesis1.120.741.42
30A0A0R4J389photosystem I reaction center subunit IIIphotosynthesis1.130.943.00
31I1MUQ0ATP synthase delta chainphotosynthesis0.730.691.07
32K7KJ72uncharacterized proteinprotein. degradation0.24−0.38−0.51
33I1M4G0carboxypeptidaseprotein. degradation1.160.520.81
34I1MIC1metacaspase-4protein. degradation1.19−0.290.30
35C6TFY7chaperonin 10protein. folding5.47−0.63−6.07
36I1K5E6guanine nucleotide-binding protein subunitprotein. post translational modification0.38−0.30−0.48
37C6SVV160S ribosomal proteinprotein. synthesis−1.37−0.401.35
38C6SXD340S ribosomal protein S24protein. synthesis0.51−0.52−0.95
39I1MDJ260S ribosomal protein L23A isoformprotein. synthesis0.90−0.67−1.05
40A0A0R0EIR6glycosyltransferaseprotein. synthesis2.632.39−1.93
41I1N1W7mitochondrial-processing peptidase subunitprotein. targeting−0.41−0.410.40
42I1L0S5outer envelope pore protein 16-2protein. targeting−0.93−0.911.39
43C6TB701-cys peroxiredoxinredox−0.36−0.69−0.41
44I1KFE9L-ascorbate oxidaseredox0.621.100.42
45I1LCG9pre-mRNA-processing factor 17RNA−0.24−1.450.86
46K7LRU6apoptotic chromatin condensation inducerRNA−0.79−0.610.72
47I1KEW2O-methyltransferase 3secondary metabolism0.540.380.59
48F8WRI3gamma-tocopherol methyltransferasesecondary metabolism1.061.37−2.06
49I1K711uncharacterized proteinsignalling0.480.540.72
50I1LBC8mitochondrial Rho GTPasesignalling−1.08−1.100.93
51K7KIL0GTP-binding nuclear proteinsignalling1.30−0.30−0.80
52K7LDT9low-temperature-induced 65 kDa proteinstress−1.86−1.96−1.01
53C6T0C7trypsin inhibitor Astress0.881.111.20
54A0A0R4J4G9heat shock 22 kDa proteinstress−1.19−2.53−1.19
55A0A0R4J4S6NADPH-protochlorophyllide oxidoreductasetetrapyrrole synthesis0.60−0.570.90
56C6TDZ1aquaporin PIP2-7transport−0.681.250.92
57I1JMI9malic enzymetricarboxylic acid cycle0.550.20−0.38
58P15490stem 28 kDa glycoproteinmiscellaneous1.550.921.54
59K7L6U4uncharacterized proteinmiscellaneous0.740.560.82
60P10743stem 31 kDa glycoproteinmiscellaneous1.590.770.85
61I1KZI42,3-dimethylmalate lyasenot assigned−0.870.981.17
62I1MRP7uncharacterized proteinnot assigned−0.67−0.661.51
63K7LKS0exocyst complex component SEC5not assigned−0.49−1.08−1.26
64I1LV40uncharacterized proteinnot assigned−0.46−0.76−0.70
65I1NA37uncharacterized proteinnot assigned−1.11−1.910.86
66K7MGN4trafficking protein particle complex subunitnot assigned0.570.66−0.49
a “accession” is determined according to UniprotKB Glycine max (Soybean) protein database. b “functional category” is obtained using MapMan bin codes. Abbreviations: cell, cell division/organization; mitoETC, mitochondrial electron transport chain; protein, protein synthesis/targeting/others; RNA, RNA processing/regulation of transcription. “not assigned” indicates protein without ontology or characterized functions. c “fold change” indicates log2 fold change of identified proteins from millimeter waves irradiated soybean compared to control.

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MDPI and ACS Style

Zhong, Z.; Furuya, T.; Ueno, K.; Yamaguchi, H.; Hitachi, K.; Tsuchida, K.; Tani, M.; Tian, J.; Komatsu, S. Proteomic Analysis of Irradiation with Millimeter Waves on Soybean Growth under Flooding Conditions. Int. J. Mol. Sci. 2020, 21, 486. https://doi.org/10.3390/ijms21020486

AMA Style

Zhong Z, Furuya T, Ueno K, Yamaguchi H, Hitachi K, Tsuchida K, Tani M, Tian J, Komatsu S. Proteomic Analysis of Irradiation with Millimeter Waves on Soybean Growth under Flooding Conditions. International Journal of Molecular Sciences. 2020; 21(2):486. https://doi.org/10.3390/ijms21020486

Chicago/Turabian Style

Zhong, Zhuoheng, Takashi Furuya, Kimitaka Ueno, Hisateru Yamaguchi, Keisuke Hitachi, Kunihiro Tsuchida, Masahiko Tani, Jingkui Tian, and Setsuko Komatsu. 2020. "Proteomic Analysis of Irradiation with Millimeter Waves on Soybean Growth under Flooding Conditions" International Journal of Molecular Sciences 21, no. 2: 486. https://doi.org/10.3390/ijms21020486

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