Hongyan Sun1, Xiaoyun Wang2, Huimin Li1, Jiahui Bi1, Jia Yu1, Xianjun Liu1, Huanxin Zhou1, Zhijiang Rong1. 1. College of Chemical and Biological Engineering, Taiyuan University of Science and Technology Taiyuan 030024 P. R. China sunhongyan-8@163.com +86 351 4399509 +86 15234173601. 2. Institute of Soil and Water Conservation, Shanxi Agricultural University Taiyuan 030045 P. R. China.
Heavy metal pollution caused by anthropogenic activities, such as mining, waste gas and water discharge, sewage irrigation and use of heavy metal products exceeding standards, is receiving increasing attention due to its public hazards to humans and the environment. Cadmium (Cd) is a nonessential element that is toxic to all organisms, including higher plants.[1] Cadmium-contaminated soil is a challenge for plants grown in it because Cd is easily absorbed by roots and transported to over-ground parts of plants.[2] Subsequently, Cd toxicity can affect plant photosynthesis, respiration and absorption of water and nutrients, thus obviously reducing plant growth and crop yields or even causing death. Accordingly, it is imperative to reveal the phytotoxic mechanisms of Cd and to improve our methods of dealing with polluted soils.[3,4]In general, different metals tend to mix in the environment, and the effects of exposure to this mixture can be additive or antagonistic.[5-7] Selenium (Se) is an essential element for organisms, while Cd is not; this leads to different accumulations of the two elements in plants. For example, exogenous application of Se could decrease Pb and Cd accumulation in lettuce; moreover, Se could abate Cd accumulation in rice, tobacco and cucumber,[8-11] and Se protects against metal-(loid)-induced toxicity and disease manifestations as well as salt stress.[12,13] Meanwhile, our previous work also clearly stated that Se is capable of alleviating Cd-inhibited cucumber plant growth, chlorophyll content, and photosynthetic performance; it can also significantly reduce ˙OH, H2O2 and malondialdehyde content as well as Cd accumulation in maize and cucumber. Similarly, Se stimulated the growth of cucumber by enhancing nutrient uptake, balancing carbohydrate contents and altering the expression abundance of some proteins.[14-17]Cucumber (Cucumis sativus L.) is a major economic vegetable crop with high consumption that is commonly planted worldwide. Cucumber is also an excellent source of protein, essential vitamins, carbohydrates, crude fibre and other nutrients humans need. With in-depth research on its traits, cucumber is used as a model plant in many studies. However, the research on Se-enhanced growth of cucumber plants mostly focuses on the fields of physiology, biochemistry and proteomics;[10,16,17] the underlying stimulatory effects of Se based on the metabolic profiles and ultrastructures of cucumber are not fully understood.Metabolomics is an important branch of systems biology; it is the quantitative measurement of small molecular compounds and metabolic components in biological specimens. Recently, metabonomics analysis has been widely applied to study the tolerance of plants to abiotic stress.[18] Characterising the metabolome of an organism can offer novel insights into its functional performance status related to its phenotype, toxic effects induced by heavy metal toxicity,[18] salt stress,[19] temperature[20] and combined stress of drought and high temperature.[21] In the present study, the ultrastructures of chloroplasts and root cells of cucumber seedlings under Cd and/or Se stress were observed, and the metabolic profiles were also analysed using gas chromatography – mass spectrometry (GC-MS) analysis of the leaves and roots of cucumber plants under Cd and/or Se stress to identify the predominant metabolites responsive to Cd and/or Se stress in cucumber. This study will provide insight for understanding the Se-induced ultrastructure and metabolism changes of cucumber plants grown under cadmium exposure.
Materials and methods
Plant materials and chemicals
Cucumber seeds (Jinyan 4) were purchased from Shanxi Agricultural Seed Station. Chemicals were all analytical grade reagents and were obtained from Beijing Chemical Works (Beijing, China), and all other chemicals used in this study were prepared with ultrapure water from a Millipore system unless otherwise specified. Hydrogen peroxide (H2O2, ≥30%), sodium selenite (Na2SeO3, ≥98%), and cadmium chloride (CdCl2, ≥98%) were used for the cucumber hydroponic culture. Na2-EDTA (C10H14N2O8Na2·2H2O, ≥99%), nitric acid (HNO3, ≥70%) and perchloric acid (HClO4, ≥70%) were used for Cd and Se concentration determination, and the extracted acid mixture was prepared according to a volume ratio of HNO3vs. HClO4 of 5 : 1. Methanol (CH3OH, ≥99.5%) extraction liquid (Vmethanol : VH = 3 : 1) and 1 mg mL−1 ribitol aqueous solution (C5H12O5, ≥99%) were used for metabolite extraction. Bis(trimethylsilyl)trifluoroacetamide (BSTFA, C8H18F3NOSi2) regent (99%, with 1% chlorotrimethylsilane (TMCS), v/v), and 20 mg mL−1 (in pyridine, C5H5N, ≥99%) methoxyamine hydrochloride (CH6ClNO, ≥98%) were used for derivatization of metabolites. The GC/MS glass vials used for metabolite detection were purchased from Sigma-Aldrich (Beijing, China).
Cucumber hydroponic culture
Seeds of Jinyan 4 cucumber were sterilized in 2% H2O2 for 15 min and washed with deionized water seven times before germination. The experiment protocol of germination, seedling transplant and culture was similar to our previous study.[17] This experiment was conducted in the greenhouse of Taiyuan University of Science and Technology, Taiyuan, China.
Treatments and sampling
Based on specific preliminary dose tests, four treatments were formed on the 7th day after transplanting: (1) control, basal nutrient solution (BNS); (2) Se (as Na2SeO3), BNS + 3 μM Se, where Se was added on the 6th day after transplanting; (3) Cd (as CdCl2), BNS + 50 μM Cd; and (4) Cd + Se, BNS + 50 μM Cd + 3 μM Se, where Se was added on the 6th day after transplanting and replaced with Cd + Se on the second day. There were six replicates for each treatment. After seven days of treatment, plants were sampled from each treatment and each replicate, and all plants were washed thoroughly with deionized water; then, the leaves and roots were collected in accordance with Kim and Verpoorte's description[22] and stored at −80 °C for metabolite extraction.
Cd and Se concentration determination
After sampling, roots for element determination were soaked in 20 mM Na2-EDTA for 20 min and then rinsed in deionized water. All samples were dried at 70 °C until constant weight. Dried samples were powdered and digested in the acid mixture (HNO3 : HClO4, 5 : 1, v/v).[16] The Se and Cd concentrations were determined by inductively coupled plasma atomic emission spectroscopy (ICP-AES) (SPS 1200 VR, Seiko Co., Ltd., Japan).
Ultrastructural examination of leaves and roots
The ultrastructures of the leaves and roots were observed after seven days of treatment; three biological replicates were collected and handled according to Sun et al.[23] The specimens were mounted on copper grids and viewed by a transmission electron microscope (JEOL JEM-1230 EX, Japan) at 12 kV with working distances of 15 and 10 mm, respectively.
Metabolite extraction, derivatization and detection
Cucumber leaf and root metabolites were extracted as follows: frozen tissues were taken into 2 mL centrifuge tubes and extracted with 0.4 mL extraction liquid (Vmethanol : VH = 3 : 1); then, 20 μL of ribitol (1 mg mL−1 stock in ultrapure water) was added as an internal standard to the sample. The mixture was homogenized in a grinding mill with small steel balls at 45 Hz for 4 min, then ultrasonically processed for 5 min in an ultrasonic machine with ice water; the above procedures were repeated twice. The above mixture was centrifuged at 13 000 rpm for 15 min at 4 °C, and the supernatant (0.35 mL) was transferred into a GC/MS glass vial.The samples were dried without heating in a vacuum concentrator, followed by adding 40 μL of methoxyamine hydrochloride (20 mg mL−1 in pyridine), and then incubated at 80 °C for 30 min. Finally, 50 μL BSTFA regent (with 1% TMCS, v/v) was added to the sample aliquots, which were then incubated for 2 h at 70 °C.GC-MS analysis was carried out on an Agilent 7890 gas chromatograph system coupled with a Pegasus HT time-of-flight mass spectrometer; the system utilized a DB-5MS capillary column. 1 μL derivatized extract of each sample was injected into the capillary. The temperature-rise was programmed according to the study by He et al.[24]
Data analysis
The R software platform (http://cran.r-project.org/) and TagFinder software were applied for extraction of raw signals, filtering of the data baselines, deconvolution analysis, peak alignment, peak identification and integration of the peak areas.[25] For each identified metabolite, log-transformed response ratios were calculated before the statistical assessment; the expressive abundance of ≥1.5-fold increase or ≤0.5-fold decrease were set as the criteria (e.g. Cd + Se vs. Cd, or Cd vs. control). Differentially expressed metabolites were identified by Simca-P software (version 11.5) by employing the orthogonal projections to latent structures discriminant analysis (OPLS-DA) model; also, some metabolites were searched in available compound libraries, such as KEGG. The principal component analysis (PCA) and the hierarchical clustering analysis (HCA) were performed using the MetaboAnalyst webpage,[26] and the metabolic pathway was established according to the KEGG metabolic database.
Results
Cd concentration in cucumber seedlings under Cd and Se application
In the control and Se treatments, the Cd concentration was below the detection limit and consequently is not shown in Table S1.† Exogenous Se (Cd + Se) prominently reduced the concentration of Cd by 23.8% and 36.5% in leaves and roots, respectively, compared with Cd treatment alone. On the other side, Cd exposure remarkably decreased both leaf and root Se concentration compared to Se treatment alone; no significant differences were observed between Cd treatment alone and the control, which were below the detection limit.
Effects of exogenous Se on the ultrastructure of chloroplasts of cucumber seedlings under Cd stress
Scanning electron microscopy (SEM) observations showed that there was no clear difference between the control and sole Se treatments; the chloroplast stroma of the cucumber leaf cells was dense, and the lamellae of the grana thylakoids were stacked regularly and formed a continuous whole with the stroma lamellae. Moreover, there were many starch grains in the lamellae (Fig. 1a and b). However, the ultrastructures were deteriorated in the chloroplasts of plants treated with Cd, e.g. the chloroplasts become oval or round, the cytoplasm became sparse, the membrane systems became fuzzy, the stroma lamellae swelled, the thylakoid lamellae became loose, some lamellae even degraded, and the number of starch grains was reduced (Fig. 1c). Although the stromal lamellae and grana were still swollen, similar to Cd treatment alone, addition of exogenous Se (Cd + Se) prevented these Cd-induced deterioration changes to the chloroplasts; the shape of the chloroplasts under Cd + Se treatment became normal, and the structure of the thylakoid membranes was also restored. Additionally, the number of starch grains increased compared with Cd treatment alone (Fig. 1d).
Fig. 1
Transmission electron micrographs of chloroplasts of cucumber seedlings cultured in basic nutrition solution (BNS, CK, (a)), BNS + 3 μM Se (Se, (b)), BNS + 50 μM Cd (Cd, (c)), and BNS + 50 μM Cd + 3 μM Se (Cd + Se, (d)), respectively. Scale bar = 0.2 μm. CW: cell wall, M: mitochondrion, GL: granal lamellae, Os: osmiophilic plastolobuli, SG: starch grain, SL: stromal lamellae. The figure is representative of three different experiments.
Effects of exogenous Se on the root cell ultrastructures of cucumber seedlings under Cd stress
As shown in Fig. 2a and b, the nuclear structures of cucumber root cells under control and Se treatment alone were normal; the nuclei were nearly round, the nuclear membranes were complete and smooth, the nuclear cytoplasm was uniform, and there were abundant organelles and vacuoles in the cytoplasm. However, after Cd treatment, the root meristematic cells exhibited obvious ultrastructural changes; the cell morphology changed, the cell walls thickened, the karyotheca was depressed and deformed, the number of vacuoles significantly decreased while their sizes increased, the cell nuclei even cracked, the mitochondria were swollen and the plastids contained fewer cristae (Fig. 2c). In the presence of Se (Cd + Se), the nuclei and karyotheca were better formed, and chromatin was distributed more uniformly; the nuclear morphology and chromatin returned to normal conditions.
Fig. 2
Transmission electron micrographs of root cells of cucumber seedlings cultured in basic nutrition solution (BNS, CK, (a)), BNS + 3 μM Se (Se, (b)), BNS + 50 μM Cd (Cd, (c)), and BNS + 50 μM Cd + 3 μM Se (Cd + Se, (d)), respectively. Scale bar = 1 μm. CW: cell wall, M: mitochondrion, N: nucleolus, NL: nucleolus, P: plastid, V: vacuole. The figure is representative of three different experiments.
The ultrastructures of root meristem cells exhibited obvious changes after Cd stress, with distorted cells, thickened cell walls, plastids with fewer cristae, swollen mitochondria, increased vacuolar size, and cracked nuclei and karyotheca. In the presence of Se (Cd + Se), the nuclei and karyotheca were better formed, the cytoplasm was denser, and the vacuolar size and the numbers of mitochondria cristae and plastids improved compared with Cd treatment alone (Fig. 2d).
Metabolic changes of cucumber under exogenous Cd and Se exposure
To reveal the molecular mechanisms of Se-mediated underlying Cd tolerance in cucumber seedlings, the effects of Cd (50 μM) and/or Se (3 μM) on the metabolic changes in the leaves and roots were analysed. The total ion chromatograms (TICs) of the leaves and roots of 36 cucumber samples showed that there were apparent chromatographic differences among the different treatments, including Cd and/or Se treatment and the control (Fig. S1†). According to heatmap and PCA analysis (Fig. S2 and S3†), obvious separation among the different treatments was detected. The leaves of the control and treated plants (i.e. Cd, Cd + Se) were distinguished by PC1, representing 22.2% variation; however, in the roots, Cd treatment was separated from the control and Cd + Se treatments by PC1, explaining 22.9% of the variation. Moreover, Cd and Cd + Se in both leaves and roots were separated by PC2; they presented 12.3% and 17.8% variation, respectively (Fig. S3a and b†). At the same time, OPLS-DA clearly showed discrimination and separation among the control, Cd + Se, and Cd treatments both in leaves and roots (Fig. S4†).Differently expressed metabolites (VIP > 1, P < 0.05) were identified, and the peak values of the control, Cd, and Cd + Se treatments were compared statistically. GC-TOF-MS analysis showed that a large number of metabolites were significantly expressed both in leaves and roots among the control, Cd and Cd + Se treatments. Furthermore, prominent tissue differences of relative abundance were found; 24 and 26 metabolites were up-accumulated or unchanged by Cd + Se vs. Cd treatment alone and down-accumulated by Cd vs. the control in the leaves and roots, respectively (Tables 1 and 2). However, compared with the control, Cd treatment significantly up-accumulated 47 and 68 metabolites in leaves and roots, respectively (Tables 3 and 4).
List of metabolites in leaves of cucumber seedlings whose relative fold changes were significantly down-accumulated (≤0.5) after Cd treatment and up-accumulated (≥1.5) or unchanged (0.5< and <1.5) after Cd + Se-treatment
Metabolite name
Similarity
R.T.a
Mass
VIPb
P valuec
Fold changed
Pathway
Cd vs. control
Cd + Se vs. Cd
Pyruvic acid
927
7.2052
174
1.87353
0.01560
0.35
1.98
Glycolysis
Galactose 1
939
17.7571
319
2.00540
0.00810
—
2.40
Glycolysis
Lactose 1
801
24.6819
204
1.66282
0.03241
—
4.99
Glycolysis
Lactic acid
968
7.3206
117
1.90526
0.01573
—
0.72
TCA cycle
Oxalic acid
704
8.3484
147
1.96350
0.00734
—
1.22
TCA cycle
3-Hydroxypropionic acid 1
757
8.5775
177
2.43025
0.00011
—
4.59
TCA cycle
2,3-Dimethylsuccinic acid
395
11.4907
221
1.82082
0.02495
—
1.21
TCA cycle
Glutaric acid
757
12.2118
55
2.52714
0.00002
—
7.06
TCA cycle
Citramalic acid
921
13.0089
247
1.82753
0.01967
—
1.84
TCA cycle
Glycero
904
10.3819
117
1.89634
0.01340
0.44
1.23
Sugars and polyols
3-Methylamino-1,2-propanediol 2
464
11.7196
117
1.73584
0.01805
—
1.19
Sugars and polyols
d-Glycerol 1-phosphate
871
16.4002
299
1.65905
0.04984
—
1.75
Sugars and polyols
Glucoheptonic acid 3
673
20.1423
319
2.14536
0.00387
0.46
2.59
Sugars and polyols
Phytol
972
20.5121
143
2.17178
0.00227
0.50
1.91
Sugars and polyols
Melibiose 2
840
26.0556
361
1.95062
0.01075
—
4.56
Sugars and polyols
Alanine 1
957
7.9520
116
2.01987
0.00487
0.41
1.51
Amino acid
Glycine 2
947
10.8449
174
2.41138
0.00015
0.29
4.47
Amino acid
Aminomalonic acid
676
12.9948
218
2.32434
0.00287
0.13
5.91
Amino acid
Palmitoleic acid
877
19.1547
55
1.75218
0.02081
—
1.43
Lipids
Linoleic acid
923
20.8606
337
1.83842
0.01769
—
1.90
Lipids
4-Hydroxybutyrate
819
9.9014
233
2.47526
0.00004
—
4.45
Others
Nornicotine
431
13.9813
142
1.93520
0.00797
—
2.30
Others
Phthalic acid
504
15.8280
304
1.77004
0.04181
0.28
2.94
Others
N-Acetyl-beta-d-mannosamine 4
771
19.8795
319
1.95543
0.00945
0.32
2.82
Others
R.T. represents the retention time.
VIP = variable importance projection, metabolites (VIP > 1) are listed in the table.
P values were calculated according to Student's T-test.
Fold change is represented as the ratio of the peak intensities for the corresponding treatments (n = 6), —: represented, not detected.
List of metabolites in roots of cucumber seedlings whose relative fold changes were significantly down-accumulated (≤0.5) after Cd treatment and up-accumulated (≥1.5) or unchanged (0.5< and <1.5) after Cd + Se treatment
Metabolite name
Similarity
R.T.a
Mass
VIPb
P valuec
Fold changed
Pathway
Cd vs. control
Cd + Se vs. Cd
α-d-Glucosamine 1-phosphate
638
17.1326
226
1.63509
0.00164
—
0.50
Glycolysis
Glucose-6-phosphate 1
896
21.6314
387
1.39508
0.02454
—
0.57
Glycolysis
Glucose-6-phosphate 2
931
21.8916
387
1.23427
0.04055
—
0.60
Glycolysis
6-Phosphogluconic acid
670
22.5322
318
1.48791
0.00661
—
0.55
Glycolysis
Lactic acid
867
7.3366
219
1.88945
0.00009
0.36
4.09
TCA cycle
Ethanolamine
883
10.3063
86
1.51962
0.00503
—
0.76
Sugars and polyols
Ribose
931
15.4504
103
1.23105
0.03573
—
0.66
Sugars and polyols
Xylitol
804
15.6796
231
1.58847
0.00229
—
0.58
Sugars and polyols
Conduritol β epoxide 2
650
18.4594
220
1.52304
0.00415
—
0.58
Sugars and polyols
N-Acetyl-d-galactosamine 1
856
19.5938
87
1.61868
0.00126
—
0.57
Sugars and polyols
Ribulose-5-phosphate 1
758
19.9544
357
1.51388
0.00462
—
0.50
Sugars and polyols
Lactulose 1
832
24.6661
361
1.30364
0.03096
—
3.80
Sugars and polyols
Lactitol
707
25.3578
230
1.52403
0.00359
—
0.50
Sugars and polyols
Oxamic acid
566
10.1376
189
1.68048
0.00105
0.25
3.04
Amino acids
l-Homoserine 1
580
12.7268
218
1.07594
0.03957
0.09
5.21
Amino acids
Glycine 2
957
10.8446
174
1.84246
0.00034
0.59
2.17
Amino acids
Serine 1
953
11.5610
218
1.86332
0.00001
—
1.87
Amino acids
3-Hydroxy-palmitic acid
498
20.7420
299
1.22242
0.03691
—
0.63
Organic acids
O-Phosphorylethanolamine
914
16.6380
299
1.30504
0.02247
—
0.53
Organic acids
Succinate semialdehyde 1
292
9.1880
132
1.84506
0.00018
—
15.16
Lipids
2-Deoxyuridine
526
10.4501
170
1.16267
0.03924
—
0.52
Pyridine alkaloid
dl-Anabasine 1
632
12.1288
239
1.58278
0.00166
—
0.57
Pyridine alkaloid
Nicotinamide
467
13.4756
179
1.26266
0.03057
0.35
0.63
Pyridine alkaloid
Maleamate 2
449
13.8690
241
1.46397
0.00747
0.34
2.75
Pyridine alkaloid
2-Hydroxypyridine
908
7.0488
152
1.76756
0.00026
—
0.67
Pyridine alkaloid
N-Cyclohexylformamide 2
270
9.6684
227
1.61878
0.00111
—
0.66
Others
R.T. represents the retention time.
VIP = variable importance projection, metabolites (VIP > 1) are listed in the table.
P values were calculated according to Student's T-test.
Fold change is represented as the ratio of the peak intensities for the corresponding treatments (n = 6), —: represented, not detected.
List of metabolites whose relative fold changes were significantly up-accumulated (≥1.5) in Cd-treated leaves of cucumber seedlings
Metabolite name
Similarity
R.T.a
Mass
VIPb
P valuec
Fold changed
Pathways
Cd vs. control
Cd + Se vs. Cd
d-Galacturonic acid 2
671
18.4902
292
1.70673
0.00117
1.61
—
Glycolysis
Galactonic acid
830
18.7519
333
1.30902
0.02551
2.60
—
Glycolysis
Galactonic acid
878
18.7944
292
1.51738
0.00999
1.51
—
Glycolysis
Oxalacetic acid
278
12.9308
68
1.37968
0.04399
299 957
—
TCA cycle
l-Threose 1
832
12.7645
205
1.42249
0.01424
1.64
—
Sugars and polyols
Threitol
749
13.3492
217
1.80221
0.00338
189 254
—
Sugars and polyols
d-Arabitol
775
15.9364
307
1.34576
0.03543
7.49
—
Sugars and polyols
Mannitol
942
18.1471
319
1.76594
0.00112
1.59
—
Sugars and polyols
Sedoheptulose
555
18.1988
204
1.61517
0.01827
4.27
—
Sugars and polyols
Sorbitol
865
18.2634
217
1.44971
0.01438
1.53
—
Sugars and polyols
Valine
966
9.57236
144
1.63117
0.00341
2.78
—
Amino acids
Carbobenzyloxy-l-leucine
332
10.0939
171
1.62983
0.00336
5.14
—
Amino acids
Isoleucine
955
10.6617
158
1.81261
0.00055
3.63
—
Amino acids
Proline
896
10.7342
142
1.75822
0.00091
2.36
—
Amino acids
Serine 1
947
11.5619
204
1.38756
0.01696
2.02
—
Amino acids
Cycloleucine 1
347
11.655
255
1.62231
0.00388
2.68
—
Amino acids
l-Allothreonine 1
607
11.8983
217
1.78923
0.00065
1.74
—
Amino acids
Threonine 1
954
11.8964
219
1.88911
0.00015
2.71
—
Amino acids
O-Acetylserine 1
519
12.0443
174
1.67359
0.00504
4.73
—
Amino acids
Aspartic acid
947
13.6334
232
1.50107
0.01207
2.46
—
Amino acids
l-Cysteine
685
14.0558
116
2.08554
0.00004
651 149
—
Amino acids
3-Aminoisobutyric acid 1
532
12.8712
174
1.58589
0.01316
1.60
—
Amino acids
β-Glutamic acid 1
395
14.6504
345
1.76216
0.00118
2.99
—
Amino acids
Glutamic acid
921
14.8229
246
1.41253
0.01601
1.94
—
Amino acids
Phenylalanine 1
890
14.9275
218
1.53758
0.01950
12.79
—
Amino acids
Creatine
573
15.0537
403
1.58464
0.01576
12.07
—
Amino acids
Asparagine 1
898
15.4162
116
1.40902
0.04445
11 038 471
—
Amino acids
Citrulline 1
905
17.1051
157
1.64987
0.01145
50.24
—
Amino acids
Lysine
908
18.1015
156
1.83055
0.00311
8.44
—
Amino acids
Spermidine 2
614
20.7375
200
1.38046
0.02642
4.00
—
Amino acids
2-Hydroxy-butanoic acid
252
8.34339
206
1.35095
0.04797
1.85
—
Organic acids
Malonic acid 1
596
9.31769
147
1.58595
0.00526
1.71
—
Organic acids
Aminooxyacetic acid
516
11.8209
247
1.49460
0.01333
1.99
—
Organic acids
Adipic acid
308
13.4852
111
1.38794
0.02267
4.90
—
Organic acids
Threonic acid
924
14.0775
292
1.33816
0.02717
1.58
—
Organic acids
Gentisic acid
454
16.6609
276
1.36258
0.03474
2.52
—
Organic acids
Terephthalic acid
329
16.8005
312
1.54372
0.00730
2.85
—
Organic acids
3,4-Dihydroxyphenylacetic acid
269
17.1885
223
1.22633
0.03820
2.75
—
Organic acids
Succinate semialdehyde 1
296
9.18755
132
1.44052
0.01368
1.70
—
Lipids
Citral
228
11.7854
164
1.66867
0.00997
10.99
—
Lipids
Hydroxyurea
463
9.86407
244
1.71827
0.00288
1.46
—
Others
Catechol
227
11.0355
180
1.34772
0.03911
33.49
—
Others
Malonamide 1
393
13.3798
101
1.76447
0.00064
9.48
—
Others
Maleamate 2
521
13.8687
241
1.92868
0.00100
2 436 864
—
Others
Flavin adenine degrad product
617
16.1693
174
1.72068
0.00893
5.52
—
Others
Pantothenic acid
862
18.7844
201
1.94644
0.00009
2.20
—
Others
Purine riboside
680
22.1714
217
2.00513
0.00000
2.18
—
Others
R.T. represents the retention time.
VIP = variable importance projection, metabolites (VIP > 1) are listed in the table.
P values were calculated according to Student's T-test.
Fold change is represented as the ratio of the peak intensities for the corresponding treatments (n = 6), —: represented, not detected.
List of metabolites whose relative fold changes were significantly up-accumulated (≥1.5) in Cd-treated roots of cucumber seedlings
Metabolite name
Similarity
R.T.a
Mass
VIPb
P valuec
Fold changed
Pathway
Cd vs. control
Cd + Se vs. Cd
Pyruvic acid
955
7.2073
174
1.61302
0.00014
1.51
—
Glycolysis
d-Glyceric acid
950
11.1479
189
1.72617
0.00009
3.58
0.44
Glycolysis
Glucose-1-phosphate
827
16.4631
217
1.59138
0.00024
1.58
0.59
Glycolysis
Shikimic acid
896
16.9190
204
1.41137
0.00268
1.79
0.52
Glycolysis
Fructose 1
807
17.5632
77
1.38707
0.00411
9.97
—
Glycolysis
Galactose 1
923
17.7558
319
1.09648
0.04012
2.64
0.39
Glycolysis
Succinic acid
932
10.9674
147
1.76705
0.00000
3.04
0.5
TCA cycle
Fumaric acid
964
11.4638
245
1.68692
0.00026
4.59
—
TCA cycle
α-Ketoglutaric acid
844
14.3078
198
1.72267
0.00000
2.83
0.43
TCA cycle
Erythrose 2
838
12.5637
205
1.62780
0.00070
3.13
0.62
Sugars and polyols
l-Threose 1
871
12.7616
205
1.63895
0.00008
3.78
0.62
Sugars and polyols
Digitoxose 1
435
14.5575
292
1.67296
0.00002
10.56
0.47
Sugars and polyols
Lyxose 1
782
15.1044
217
1.47580
0.00135
1.70
0.52
Sugars and polyols
Xylose 1
937
15.2770
103
1.55379
0.00188
1.78
0.46
Sugars and polyols
Fucose 1
797
15.9018
160
1.16512
0.02620
1.56
0.48
Sugars and polyols
Gluconic lactone 1
803
17.7089
220
1.64756
0.00004
2.74
0.57
Sugars and polyols
Sorbitol
869
18.2647
217
1.43477
0.00930
6.14
—
Sugars and polyols
Isopropyl-beta-d-thiogalactopyranoside
413
19.5198
204
1.67597
0.00002
3.29
0.17
Sugars and polyols
Myo-inositol
923
19.7238
217
1.37707
0.00483
1.54
0.43
Sugars and polyols
Glucoheptonic acid 3
686
20.0160
217
1.48899
0.00081
1.51
0.50
Sugars and polyols
d-Glucoheptose 1
745
20.0875
319
1.65849
0.00043
3.14
0.46
Sugars and polyols
dl-Dihydrosphingosine 1
632
23.1955
321
1.42588
0.00820
2.20
0.5
Sugars and polyols
Sucrose
909
24.2913
451
1.29190
0.02344
36.11
—
Sugars and polyols
Galactinol 1
895
26.8080
204
1.59005
0.00014
3.24
0.30
Sugars and polyols
Maltotriose 1
660
30.4877
361
1.64543
0.00096
47.78
0.07
Sugars and polyols
Alanine 1
950
7.9552
116
1.63181
0.00006
2.18
—
Amino acids
N-Methyl-dl-alanine
638
8.9614
130
1.66118
0.00003
1.87
0.54
Amino acids
1-Aminocyclopropanecarboxylic acid
609
9.4863
202
1.66628
0.00037
2.93
0.55
Amino acids
Valine
967
9.5728
144
1.54758
0.00042
1.56
0.76
Amino acids
3-Hydroxynorvaline 2
368
11.5906
293
1.10472
0.03245
2.02
—
Amino acids
l-Allothreonine 1
635
11.9003
217
1.58211
0.00022
1.59
—
Amino acids
N-Ethylglycine 1
437
12.3651
218
1.32921
0.01241
2.15
—
Amino acids
β-Alanine 2
913
12.4680
248
1.67022
0.00003
1.69
0.42
Amino acids
N-Acetyl-l-leucine 1
459
13.5145
261
1.72048
0.00000
2.70
0.45
Amino acids
Aspartic acid
941
13.6366
232
1.38925
0.00415
1.71
—
Amino acids
Oxoproline
829
13.6978
258
1.60554
0.00016
1.64
0.60
Amino acids
4-Aminobutyric acid 1
930
13.7692
174
1.74058
0.00004
3.12
—
Amino acids
β-Glutamic acid 1
290
14.6480
345
1.48911
0.00443
3.20
0.00
Amino acids
Glutamic acid
917
14.8221
246
1.74821
0.00000
2.98
0.62
Amino acids
Glycocyamine 2
225
16.0810
273
1.72689
0.00000
3.55
0.57
Amino acids
Glutamine 1
661
16.5729
156
1.27931
0.02618
14 254 790
—
Amino acids
N-Acetyl-l-phenylalanine 2
760
17.1019
120
1.66929
0.00067
40 255 157
0.14
Amino acids
Glycolic acid
910
7.5776
177
1.22630
0.01784
1.55
—
Organic acids
Sulfuric acid
441
8.8714
281
1.44736
0.00198
1.60
—
Organic acids
Malonic acid 1
838
9.4241
147
1.69945
0.00033
24.56
0.43
Organic acids
4-Hydroxybutyrate
882
9.8991
233
1.50558
0.00080
4.13
—
Organic acids
Benzoylformic acid 1
634
10.4634
222
1.74493
0.00011
1 625 262
0.11
Organic acids
Tartronic acid
533
11.8036
247
1.61541
0.00170
6.17
0.37
Organic acids
Glutaric acid
817
12.2055
55
1.65598
0.00085
15.41
0.24
Organic acids
Threonic acid
883
14.0867
292
1.79358
0.00000
7.92
0.50
Organic acids
3-Hydroxy-3-methylglutaric acid
763
14.6068
109
1.74363
0.00000
2.27
0.57
Organic acids
2-Ketoadipate 2
359
15.3140
258
1.26494
0.02976
1 230 889
0.00
Organic acids
Ciliatine
290
16.2117
299
1.59016
0.00021
3.78
0.3
Organic acids
2-Amino-3-(4-hydroxyphenyl)propanoic acid 1
301
18.0784
267
1.49834
0.00622
60.64
—
Organic acids
Gluconic acid 1
903
18.8386
333
1.60328
0.00144
4.39
0.42
Organic acids
Citraconic acid 4
403
11.4894
221
1.69717
0.00001
1.63
0.75
Lipids
Pelargonic acid
603
11.6675
215
1.26183
0.02841
1 059 213
0.00
Lipids
4-Acetamidobutyric acid 2
187
13.3963
159
1.23334
0.01367
8.85
0.00
Lipids
Carnitine
296
9.6464
70
1.46006
0.00151
2.06
0.54
Others
Hydroquinone
225
12.1846
174
1.17552
0.04772
1 112 417
0.00
Others
Methyl trans-cinnamate
372
12.2422
103
1.76747
0.00000
8.05
0.39
Others
4-Aminophenol 1
330
13.9446
254
1.39339
0.01315
4 224 720
0.24
Others
Malonamide 2
419
14.3802
329
1.52042
0.00072
3.68
0.61
Others
1,2-Cyclohexanedione 4
399
15.3965
171
1.67429
0.00002
7.06
0.46
Others
5,6-Dimethylbenzimidazole 2
269
17.1885
287
1.72488
0.00000
4.72
0.57
Others
N-Acetyl-β-d-mannosamine 4
725
19.8829
103
1.50778
0.00087
3.55
0.36
Others
Thioctamide 1
270
20.5994
174
1.25682
0.02745
97 517
0.00
Others
Guanosine
723
25.2860
245
1.14638
0.04856
3 700 082
—
Others
R.T. represents the retention time.
VIP = variable importance projection, metabolites (VIP > 1) are listed in the table.
P values were calculated according to Student's T-test.
Fold change is represented as the ratio of the peak intensities for the corresponding treatments (n = 6), —: represented, not detected.
R.T. represents the retention time.VIP = variable importance projection, metabolites (VIP > 1) are listed in the table.P values were calculated according to Student's T-test.Fold change is represented as the ratio of the peak intensities for the corresponding treatments (n = 6), —: represented, not detected.R.T. represents the retention time.VIP = variable importance projection, metabolites (VIP > 1) are listed in the table.P values were calculated according to Student's T-test.Fold change is represented as the ratio of the peak intensities for the corresponding treatments (n = 6), —: represented, not detected.R.T. represents the retention time.VIP = variable importance projection, metabolites (VIP > 1) are listed in the table.P values were calculated according to Student's T-test.Fold change is represented as the ratio of the peak intensities for the corresponding treatments (n = 6), —: represented, not detected.R.T. represents the retention time.VIP = variable importance projection, metabolites (VIP > 1) are listed in the table.P values were calculated according to Student's T-test.Fold change is represented as the ratio of the peak intensities for the corresponding treatments (n = 6), —: represented, not detected.
Metabolic profiles in response to Cd and/or Se in cucumber leaves
The expression quantity of relative expressed metabolites among the control, Cd and Cd + Se treatments was evaluated by the fold change (FC) value. In the leaves of cucumber seedlings, 24 metabolites were up-accumulated or unchanged by Cd + Se vs. Cd treatment but down-accumulated by Cd treatment vs. the control (Table 1). According to the putative biochemical and physiological functions, these metabolites were mainly divided into six categories, namely TCA cycle (25%), sugars and polyols (25%), glycolysis (12.5%), amino acids (12.5%), lipids (8%) and others (17%) (Fig. S5a†). Among these 24 differently expressed metabolites, 18 metabolites showed higher expression after addition of Se (Cd + Se vs. Cd) to Cd-treated cucumber seedlings. The higher expressed metabolites may be related to Se-induced Cd tolerance in cucumber, which includes 3 glycolysis metabolites, pyruvic acid, galactose 1 and lactose 1; 1 TCA cycle-related metabolites, 3-hydroxypropionic acid 1; 4 sugars and polyols, d-(glycerol 1-phosphate), glucoheptonic acid 3, phytol and melibiose 2; 3 amino acids, alanine 1, glycine 2 and aminomalonic acid; 1 lipid, linoleic acid; and 4 others, including 4-hydroxybutyrate, nornicotine, phthalic acid, and N-acetyl-beta-d-mannosamine 4.Compared with the control, 47 metabolites were up-accumulated under Cd treatment alone (Table 3 and Fig. S5c†), and the numbers of these metabolites in the different categories are as follows: amino acids (20), organic acids (8), sugars and polyols (6), glycolysis (3), lipids (2), TCA cycle-related metabolites (1) and others (7). The Cd-induced expression of some key metabolites was many-fold higher under Cd treatment vs. the control, such as l-cysteine, asparagine 1, oxalacetic acid, threitol, citrulline 1, citral, catechol, and maleamate 2; we assume that these metabolites are related to Cd accumulation.
Metabolic profiles in response to Cd and/or Se in cucumber roots
In roots, 26 metabolites were up-accumulated or unchanged by Cd + Se vs. Cd treatment and down-accumulated by Cd treatment vs. the control (Table 2), of which 31% were related sugars and polyols and 19% were pyridine alkaloids; these metabolites are more likely to play crucial roles in Se-mediated Cd tolerance in cucumber. They also include functional metabolites related to glycolysis (15%), amino acids (15%) and several organic acids (8%), along with TCA cycle-related metabolites (4%), lipids (4%) and others (4%) (Fig. S5b†).In addition, 68 metabolites were up-accumulated after Cd treatment in roots (Table 4 and Fig. S5d†). Of these, 25% of the metabolites were amino acids, 25% were sugars and polyols, and 19% were organic acids; 7% were related to glycolysis (e.g. pyruvic acid, glucose-1-phosphate, galactose 1), 4% were related to the TCA cycle (α-ketoglutaric acid, succinic acid, fumaric acid), 4% were lipids, and 15% were others, suggesting that Cd treatment induces significant metabolic changes in cucumber seedlings.
Discussion
Currently, Cd contamination remains a global environmental problem due to the strong mobility and toxicity of Cd. Plants grown in Cd-contaminated soil or irrigated by Cd-contaminated water usually contain large amounts of Cd that exceed standards. Furthermore, Cd easily accumulates in edible organs, which consequently causes adverse effects on human health through the food chain.[27,28] Cucumber is a vegetable crop that is grown worldwide for safe food production and human health; reliable strategies for reducing cucumber Cd contamination and inducing plant tolerance to Cd are urgently desired. Researchers have found that for large-scale slightly or moderately polluted farmlands, the addition of chemical substances, including allantoin,[29] selenium,[30] and hydrogen gas,[31] can mitigate Cd toxicity and improve the growth of plants. Our previous studies showed that application of Se in hydroponic solution and soil could alleviate Cd toxicity by relieving lipid peroxidation of cucumber leaves induced by Cd stress, abating reactive oxygen species (ROS) accumulation, improving antioxidase and ATPase activities, preventing photosynthetic machinery damage, balancing the concentrations of carbohydrate contents and nutrient elements, and further up-inducing photosynthesis, metabolism or stress-related proteins; this ultimately reduced Cd accumulation in plants and improved Cd tolerance of cucumber seedlings.[16,17] The present research further indicates that exogenous Se can mitigate cucumber Cd concentration and translocation.However, to date, the effects of exogenous Se on the ultrastructural and metabolic patterns of Cd-treated cucumber seedlings have not been studied. Accordingly, to better understand how cucumber adapts to Cd toxicity at the ultrastructural and metabolic levels, in this research, we carried out ultrastructural observation and metabonomics analysis of cucumber seedlings under Cd and/or Se treatment using TEM and GC-MS, respectively. The results revealed the possible differences in the ultrastructural and metabolic profiles of cucumber under Cd and/or Se treatment and the potential specific metabolites that are responsive to Cd and/or Se stress in cucumber seedlings.
Protective effects of exogenous Se on the ultrastructures of chloroplast and root cells damaged by Cd
The chloroplast is not only the location of photosynthesis but is also a sensitive organelle to Cd stress. The TEM results showed that the chloroplasts were deformed and damaged by Cd stress; moreover, in the chloroplasts, the arrangements of the grana and stromal lamellae were disordered, and their number was significantly reduced compared with the control (Fig. 1). These phenomena are similar to those observed in barley.[23] Additionally, our previous study reported that Cd stress significantly reduced the photosynthetic rate and chlorophyll content of cucumber.[16,17] It can be concluded that Cd-induced changes in chloroplast structure may be the direct cause of damage to the photosynthetic system and the degradation of chlorophyll, which eventually leads to inhibition of photosynthesis. Also, Cd stress significantly reduced the accumulation of starch grains in chloroplasts, which may be caused by the decreased photosynthetic capacity of chloroplasts or excessive energy consumption of cells to resist Cd stress. Keunen et al. also reported that during Cd exposure, Arabidopsis leaves mainly utilised their starch reserves to provide energy for stress defence.[2] According to the observation of the ultrastructures of root meristem cells, Cd stress injured the nuclear structures and cracked the karyotheca systems of the cucumber cells; it also reduced the number of vacuoles in the cucumber seedlings (Fig. 2). The addition of exogenous Se significantly alleviated the damage of the chloroplast and root cell structures caused by Cd stress; it recovered the damage of the chloroplast lamellar structure, increased the number of starch grains in the cucumber leaves, and effectively improved the stability and integrity of the nuclear membranes of root meristem cells (Fig. 1d and 2d), indicating that Se can protect the plant growth and ultrastructures of cucumber seedlings from Cd-induced damage. Accordingly, exogenous Se may be beneficial to improve photosynthesis efficiency; as reported in our previous work, exogenous Se (Cd + Se) prominently increased the chlorophyll a, chlorophyll b, and chlorophyll a + b content and improved photosynthetic performance, with higher Pn, Gs, and Tr, in plants treated with Cd + Se compared with those treated solely with Cd.[15,16] It can be concluded that the membrane integrity effect of Se addition is a fundamental protective mechanism for Se-induced tolerance of Cd toxicity in cucumber.
Exogenous Se utilizes different strategies at the metabolome level for combating Cd stress
To date, no detailed metabolic evaluation of Se-improved cucumber tolerance to Cd contamination has been fully explored. In the present research, the effects of exogenous Se on the large-scale metabolic profiling of cucumber leaves and roots under Cd stress were examined. PCA analysis and the OPLS-DA model were used to identify all significantly different metabolites (VIP > 1, P < 0.05) among the three treatments (Fig. S3 and S4†); the results showed that there was a clear separation between Cd and the control as well as between Cd + Se and Cd treatment, indicating that Se and/or Cd exposure affected cucumber seedlings to a certain extent. By peak value comparison among the control, Cd and Cd + Se treatments, we found that 50 metabolites were significantly up-accumulated or unchanged by Cd + Se vs. Cd treatment and down-accumulated by Cd vs. the control, and 115 metabolites were significantly up-accumulated by Cd vs. the control. Furthermore, these differently expressed metabolites were identified by GC-TOF-MS; in addition, coupled with metabolic pathway analysis, a comprehensive schematic of Se-mediated tolerance to Cd toxicity in cucumber seedlings was proposed (Fig. 3), which may provide some new insight into the potential mechanisms underlying Se-improved tolerance to Cd contamination.
Fig. 3
Schematic of Cd + Se or Cd stress-responsive primary metabolites in the leaves (green) and roots (red) of cucumber seedlings. Each detected metabolite framed with continuous lines was significantly down-accumulated in Cd-treatment and up-accumulated or unchanged in Cd + Se treatment, and those framed with dotted lines were significantly up-accumulated in Cd-treated cucumber seedlings. Metabolites in bold were checked in both leaves and roots. The relative fold changes in abundance are shown in Tables 1–4.
Se + Cd treatment accumulated relatively higher levels of glycolysis metabolites in leaves, including pyruvic acid, galactose 1 and lactose 1 (Table 1). Pyruvic acid is an important intermediate in the sugar metabolism of all living cells and is also a key intermediate in the mutual transformation of a large number of substances in vivo, involving in several metabolic pathways. Generally, pyruvic acid can be made from glucose by glycolysis and converted back into carbohydrates (such as glucose) by gluconeogenesis or transformed into fatty acids by reaction with acetyl-CoA. Moreover, α-d-glucosamine 1-phosphate, glucose-6-phosphate 1, glucose-6-phosphate 2 and 6-phosphogluconic acid were up-accumulated in roots by Cd + Se treatment and down-accumulated under Cd treatment alone (Table 2); these are intermediates of the conversion of glucose to pyruvic acid through glycolysis. Lactose can be made from glucose and galactose, and lactose can also be degraded into galactose.TCA cycle-related metabolites were largely responsible for the Se-induced resistance against Cd stress in cucumber. In leaves, lactic acid, oxalic acid, 3-hydroxypropionic acid 1,2,3-dimethylsuccinic acid, glutaric acid and citramalic acid were up-accumulated under Cd + Se vs. Cd treatment and down-accumulated under Cd treatment vs. the control (Table 1). Lactic acid is not only a metabolite produced by anaerobic metabolism but is also an important energy carrier. Glucose will be converted to lactic acid and then enter the tricarboxylic acid cycle (TCA cycle). Thus, lactic acid is probably the most important energy source in the TCA cycle. The data showed that lactic acid was up-accumulated by Cd + Se treatment in roots, 4.09 fold higher than with Cd treatment alone (Table 2). It is enticing to suggest that this high lactic acid expression in cucumber leaves and roots is a specific response to Cd + Se treatment; its higher accumulation in cucumber may facilitate greater Cd tolerance.Sugars and polyols, organic acids and amino acids are intermediary metabolites that play roles of signals, regulators and antioxidants, amongst other functions.[32-34] It was reported that under Cd stress, these intermediary metabolites exert some important functions in plants; for example, the specific accumulation of sugars, amino acids and organic acids can be used to identify important pathways of Cd detoxification in forage grasses.[35,36] In the present study, a large number of sugars and polyols were up-accumulated or showed no obvious change after addition of Se (Cd + Se) compared with Cd treatment alone and were down-accumulated under Cd treatment vs. the control. In leaves, the sugar and polyol metabolite with the most significant change in concentration by Cd + Se was melibiose 2, which increased 4.56 fold compared to Cd treatment alone, followed by glucoheptonic acid 3, phytol, d-glycerol 1-phosphate, and 3-methylamino-1,2-propanediol 2. Meanwhile, in the roots, ribulose-5-phosphate 1, lactulose 1, lactitol, etc. were upregulated (Tables 1 and 2). In this sense, the high expression of these sugar-related metabolites may provide energy for developing Se-induced Cd tolerance in cucumber.Amino acids and lipids are also essential metabolites that are responsible for Se-induced Cd tolerance in the leaves and roots of cucumber seedlings. The addition of Se significantly affected the expression of amino acids derived from pyruvic acid, e.g. the expressive abundance of alanine exhibited an obvious increase, as did glycine and aminomalonic acid, which were characterized by significantly high accumulation in Cd + Se leaves compared to Cd treatment alone (4.47 and 5.91 fold, respectively); moreover, in roots, oxamic acid, l-homoserine 1, glycine 2 and serine 1 were up-accumulated by Cd + Se treatment and down-accumulated under Cd treatment alone (Tables 1 and 2). Hediji reported that the level of alanine was reduced by 25% in young Cd-treated tomato leaves compared to a control;[37] these results are similar to those of the present study (Tables 3 and 4). Meanwhile, Wu et al. reported that plants can adjust osmotic stress via accumulating high concentrations of compatible solutes, including glycine, proline and betaine.[19] Although glycine is known as a metabolite with compatible solute properties, more importantly, it is also a component of glutathione biosynthesis, which is part of the antioxidant system.[20,38] In the present study, the high abundance of alanine and glycine under Cd + Se treatment compared with Cd treatment alone may be important for Se-enhanced cucumber resistance to Cd toxicity. These results indicate that exogenous Se can induce high expression of amino acid and lipid-related metabolites, facilitating cucumber tolerance to Cd toxicity.
Comparative metabonomics reveals key metabolites associated with Cd tolerance
The metabolite changes in response to Cd treatment differed between tissues within the same species, which is similar to salt stress.[39]Fig. 3 summarizes the effects of Cd and/or Se on the primary metabolism in the leaves and roots of cucumber. An abundance of sugars (fructose, sucrose, myo-inositol and mannitol), several TCA cycle intermediates and pyruvic acid were highly accumulated after Cd treatment in both leaves and roots. Simultaneously, the expression levels of some amino acids and organic acids showed significant increases after Cd treatment compared with the control (Fig. S4c, d,†Tables 3 and 4). Furthermore, the expressive abundance of some metabolites differed between different cucumber tissues after Cd and/or Se stress.Synthesis of amino acids, sugars and polyols, and organic acids is known to be beneficial to membrane stability and osmotic adjustment.[22,24,40] In this study, the amino acid category was the largest section, followed by sugars and polyols and organic acids. The present results show that threose and sorbitol, which are acknowledged to be compatible osmotic adjustment substances, greatly accumulated after Cd treatment in roots and leaves compared with the control; meanwhile, sucrose, myo-inositol, thiogalactopyranoside, xylose, fucose, galactinol and maltotriose were root-specific compatible solutes, and mannitol, threitol, arabitol and sedoheptulose were leaf-specific solutes (Tables 3 and 4). It was reported that Cd-induced plant growth inhibition is correlated with high accumulation of soluble sugars in tomato and pea[37,41] as well as in cucumber,[17] and it was suggested that this carbohydrate accumulation is a result of the interference of metals in carbohydrate metabolism. Moreover, galactinol could scavenge ˙OH as efficiently as GSH.[33,42] Therefore, the high expression of this sugar in Cd-treated cucumber roots may abate oxidative stress caused by Cd stress. Also, sucrose can be exported to sink organs,[2] coinciding with increasing levels of sucrose concomitant to fructose and other sugars after Cd exposure in roots, which may be involved in regulating cucumber Cd toxicity; Cd may have been exported into the vacuoles of roots with the sugars. Fucose is a trehalose dihydrate; trehalose has high chemical stability and a hydrophilic structure,[43] and it highly accumulates in response to chilling and freezing.[44,45] Xylose has been reported to highly accumulate under cold stress in Arabidopsis;[20] it is also a precursor for threitol biosynthesis.[46] In the present study, the levels of fucose, xylose, threitol, etc. were up-accumulated after Cd treatment in cucumber seedlings; these metabolites may be contributors to cucumber Cd tolerance.Some amino acids play important roles in metal tolerance and chelation in plants, and their synthesis pathways are involved in the detoxification of Cd.[32,47] For instance, asparagine and lysine are synthesized from aspartate, which is produced by oxaloacetate. Meanwhile, asparagine has also been reported to accumulate metals under toxic metal stress; it can participate in the detoxification of Cd directly or through the biosynthesis of chelating peptides.[48,49] The present study indicates that the expressive abundance of aspartic acid and asparagine was high after Cd treatment both in the leaves and roots of cucumber; this indicates that these highly expressed amino acids are substances that accumulate or chelate toxic Cd and enhance the Cd tolerance of cucumber. Moreover, the expressive abundance of valine both in leaves and roots and of isoleucine in leaves significantly increased after Cd treatment, as did that of phenylalanine; these results are similar to previous reports in tomato leaves.[37] In addition, our data show that aspartic acid, valine, glutamic acid and allothreonine are the common compatible substances with high expression after Cd treatment both in cucumber leaves and roots, while proline, cysteine, asparagine, serine, phenylalanine, carbobenzyloxy-l-leucine, isoleucine, lysine, spermidine and creatine were leaf-specific. High accumulation of cysteine in Cd-treated leaves is essential for Cd tolerance; it is required for GSH, PCs and methionine synthesis.[50] Similarly, it has been reported that proline highly accumulates in Cd-treated tomato leaves[51] and that the increased expressive abundance of proline is related to the enhancement of stress tolerance,[19] which is crucial for plants to respond to Cd stress.[32] Proline is also a direct product of glutamate metabolism (Fig. 3), indicating that Cd stress facilitates proline biosynthesis; this may be due to the positive effects of Cd treatment on the expression of glutamic acid (Tables 3 and 4) and to the preferential use of glutamate in the metabolic route leading to the synthesis of chelators such as phytochelatins or glutathione.[52] Consistent with these hypotheses, the present research indicates that glutamic acid increases in both leaves and roots and proline and cysteine increase in leaves simultaneously under Cd stress, suggesting that these amino acids play important roles in Cd tolerance or chelation in cucumber seedlings. These amino acids are also supposed to be compatible solutes which are involved in osmotic regulation, protecting proteins and cell membranes from ROS.[53,54] Additionally, the high accumulation of leucine and isoleucine under Cd stress manifests that these branched-chain amino acids play an important role in Cd stress; for instance, they can maintain amino acid homeostasis or promote stress-induced protein synthesis.[55,56] Spermidine is another important amino acid for plants grown under stress; it can act as a regulator, signal or antioxidant.[57] Simultaneously, spermidine appears to be associated with processes that facilitate Cd accumulation by plants used for Cd phytoextraction.[58] The abundance of accumulated spermidine in Cd-treated leaves was high, indicating its importance to Cd tolerance and accumulation in cucumber. The present study also showed that β-alanine, N-acetyl-l-leucine, oxoproline, N-acetyl-l-phenylalanine and some organic acids (glycolic acid, sulfuric acid, malonic acid, threonic acid, and gluconic acid) were highly accumulated in Cd-treated cucumber roots and were root-specific solutes; these amino acids may be involved in mitigation of Cd contamination, as observed in Arabidopsis.[59]On the other side, the TCA cycle and glycolysis intermediates were highly accumulated after 7 days of Cd exposure in the leaves and roots of cucumber seedlings. Our data showed that d-galacturonic acid 2 and galactonic acid were highly expressed in leaves after Cd stress (Table 3). As is known, galacturonic acid is the component unit of pectic acid and the major component of pectin in the primary cell wall; it is involved in the metabolism of polysaccharides in the cell wall and affects the structure and function of plant cell walls, with functions in plant growth and development. Meanwhile, Sun et al. reported that the majority of Cd accumulated in the inner epidermis and endodermis of cell walls in barley plants.[15] The present results indicate that galacturonic acid and galactonic acid are responsible for developing resistance to Cd stress in cucumber seedlings. The expressive abundance of fructose, galactose, glyceric acid, glucose-1-phosphate, pyruvic acid and shikimic acid in Cd-treated cucumber roots was significantly increased compared with that in the control; these metabolites are the primary intermediates of glycolysis. Meanwhile, succinic acid, fumaric acid and α-ketoglutaric acid in roots and oxalacetic acid in leaves were also expressed more after Cd treatment (Tables 3 and 4); they are the primary intermediates of the TCA cycle and may provide energy for the synthesis of amino acids and proteins.
Conclusions
In conclusion, exogenous Se significantly improved ultrastructural damage induced by Cd in the leaves and roots of cucumber seedlings. For example, chloroplasts under Cd + Se treatment showed more normal morphologies than those treated with Cd alone. The morphology of the root nucleus was better; the chromatin distribution was more uniform, and the cytoplasm was denser. Meanwhile, the size of the cytoplasmic vacuoles and the numbers of starch grains and plasmids almost returned to normal levels. On the other side, cucumber may have different Se-mediated Cd stress tolerance mechanisms, which is highly significant for improving the Cd resistance ability of cucumber and other vegetable crops. In the present study, metabolite profiling revealed that several intermediate products of glycolysis and the TCA cycle and some amino acids were prominently highly accumulated under Cd + Se treatment compared with Cd treatment alone and down-accumulated in Cd-treated cucumber seedlings compared with controls, such as pyruvic acid, galactose, lactose, glutaric acid and alanine in leaves, glucose-6-phosphate and serine in roots, and lactic acid and glycine in both leaves and roots; these may play dominant roles in the development of Se-mediated Cd tolerance. Moreover, high levels of sugars and polyols, amino acids and organic acids were up-accumulated in Cd-treated plants. Meanwhile, our data suggest that the high accumulation of fructose, shikimic acid, succinic acid, α-ketoglutaric acid and fumaric acid in roots is a Cd-specific response, indicating that these metabolites are important to the development of Cd resistance by cucumber. This study may provide a significant metabolic basis for Se-improved cucumber resistance to Cd stress, and the identified metabolites may present a new approach to finding new strategies for Cd detoxification of cucumber.Basal nutrient solutionBis(trimethylsilyl)trifluoroacetamideCadmiumFructose 6-phosphateFold changeGlucose-6-phosphateGlyceraldehyde 3-phosphateGas chromatography coupled with time-of-flight mass spectrometryGas chromatography-mass spectrometryHydrogen peroxideHierarchical clustering analysisInductively coupled plasma atomic emission spectroscopyKyoto encyclopedia of genes and genomesDisodium ethylenediamine tetraacetic acidOrthogonal projections to latent structures discriminant analysisPrincipal component analysisPhosphoenolpyruvic acidReactive oxygen speciesSeleniumScanning electron microscopyTricarboxylic acidTotal ion chromatogramChlorotrimethylsilaneVariable importance for the projection
Authors: Wagner L Araújo; Kimitsune Ishizaki; Adriano Nunes-Nesi; Tony R Larson; Takayuki Tohge; Ina Krahnert; Sandra Witt; Toshihiro Obata; Nicolas Schauer; Ian A Graham; Christopher J Leaver; Alisdair R Fernie Journal: Plant Cell Date: 2010-05-25 Impact factor: 11.277
Authors: Fatma Kaplan; Joachim Kopka; Dale W Haskell; Wei Zhao; K Cameron Schiller; Nicole Gatzke; Dong Yul Sung; Charles L Guy Journal: Plant Physiol Date: 2004-11-19 Impact factor: 8.340
Authors: A D Hanson; B Rathinasabapathi; J Rivoal; M Burnet; M O Dillon; D A Gage Journal: Proc Natl Acad Sci U S A Date: 1994-01-04 Impact factor: 11.205
Authors: Joseph R Shaw; Thomas D Dempsey; Celia Y Chen; Joshua W Hamilton; Carol L Folt Journal: Environ Toxicol Chem Date: 2006-01 Impact factor: 3.742