Open Access

Proteomic analysis of the effects of exogenous calcium on hypoxic-responsive proteins in cucumber roots

  • Lizhong He1,
  • Xiaomin Lu1, 2,
  • Jing Tian1,
  • Yanjuan Yang1,
  • Bin Li1,
  • Jing Li1 and
  • Shirong Guo1Email author
Contributed equally
Proteome Science201210:42

DOI: 10.1186/1477-5956-10-42

Received: 19 January 2012

Accepted: 20 June 2012

Published: 12 July 2012

Abstract

Background

Hypoxia acts as a plant stress factor, particularly in cucumbers plants under hydroponic culture. Calcium is involved in stress signal transmission and in the growth of plants. To determine the effect of exogenous calcium on hypoxic-responsive proteins in cucumber (Cucumis sativus L. cv. Jinchun No.2) roots, proteomic analysis was performed using two-dimensional electrophoresis (2-DE) and mass spectrometry.

Results

Cucumber roots were used to analyze the influence of hypoxia on plants. The expressions of 38 protein spots corresponding to enzymes were shown to change in response to hypoxia. Of these, 30 spots were identified by matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF/TOF MS analysis). The proteins were categorized according to functional groups, including glycolysis, the tricarboxylic acid (TCA) cycle, fermentative metabolism, nitrogen metabolism, energy metabolism, protein synthesis and defense against stress. Exogenous calcium appeared to alleviate hypoxic stress via these metabolic and physiological systems. Western blotting was used to analyze the accumulation of alcohol dehydrogenase (ADH) and pyruvate decarboxylase (PDC); calcium further increased the expression of ADH and PDC under hypoxia. In addition, semi-quantitative reverse transcription-polymerase chain reaction (RT-PCR) was used to assess the transcript levels of differentially expressed proteins.

Conclusions

Exogenous calcium enhanced the expression of enzymes involved in glycolysis, the TCA cycle, fermentative metabolism, nitrogen metabolism, and reactive oxygen species (ROS) defense in plants under hypoxia. Calcium appears to induce hypoxic tolerance of cucumber seedlings. These phenomena have prompted us to further investigate the mechanisms by which cucumbers respond to exogenous calcium under hypoxia.

Keywords

Cucumber Calcium Hypoxic stress Proteomics

Background

Cultivated plants that produce vegetables, crops and fruits are frequently subjected to submerged conditions (so-called hypoxia) caused by flooding [1], waterlogging [2], irrigation or hydroponic culture [3]. Plants subjected to hypoxia undergo dramatic metabolic changes and induce defensive mechanisms to cope with the potential damage caused. Hypoxia induces enhanced aerenchyma formation, stem elongation, gas film around submerged-leaves [4] and shoot biomass [5]. The first process to be influenced by the metabolic change induced by a shortage of oxygen is respiration. Hypoxic stress interferes with the electron transport system causing a lack of suitable electron acceptors, which appears to be linked to the saturated conditions of a redox state, accumulation of NAD(P)H and suppressed synthesis of ATP [6]. Energy from respiratory metabolism is necessary for the growth and yield of plants. Cucumber plants are sensitive to hypoxia, which frequently causes large reductions in yield [7].

Exogenous calcium can improve the suppression of growth/development of plants and help to maintain cell function by relieving gene repression caused during salt stress [8], anoxia [9], and chilling [10]. The involvement of calcium in oxygen debt responses is also observed in many plants. For example, the oxygen debt (anoxia) in cells of maize, rice and wheat plants causes a rise in cytoplasmic Ca2+ concentration [11, 12]. In addition, elevated calcium levels significantly influence metabolic fluxes and substrate oxidation under hypoxic condition [13]. According to our previous research [14], exogenous calcium enhances the biomass and soluble protein content of cucumber seedlings under hypoxia (Additional file 1: Table S1). Thus, calcium appears to act as a signaling component during anoxia signal transduction in plants. The alteration in Ca2+ concentration seems to decrease cytosolic pH, which probably represents a major signal in cells under suspension culture and in intact seedlings [15]. However, the mechanism of calcium’s involvement in resistance to hypoxia remains unclear.

Proteomic analysis, commonly using mass spectrometry (MS), is a powerful technique that facilitates the visualization and comparison of complex mixtures of proteins. Proteomic analysis provides a large amount of information on individual proteins involved in specific biological responses. Recently, there have been many proteomic studies of cucumber plants [7, 1622]; however, none of them investigated the effects of exogenous calcium on the proteome of cucumber seedlings under root-room hypoxia stress. The purpose of the present study is to use proteomics to clarify the relationship between calcium and proteins in cucumber plants under hypoxic stress. We found that exogenous calcium could enhance both responsive metabolism and fermentative metabolism of cucumber seedlings, improving their tolerance to hypoxia. The results should provide a basis for future studies at both the physiological and molecular levels.

Results and discussion

Identification and functional classification of proteins by MALDI-TOF/TOF

To examine the effect of exogenous calcium on the proteome of cucumber seedlings under hypoxic stress in water culture, 2-DE analysis of total proteins in the roots was performed. Root proteins were extracted from cucumber seedlings exposed to normoxic, hypoxic and hypoxic + 4 mM CaCl2 (hypoxic + Ca2+) conditions. Proteins purified from roots were separated by 2-DE and analyzed by Imagemaster™ 2D Platinum software; the pI value and molecular masses of these protein spots ranged from 4 to 7 and from 14.4 to 116.0 kDa, respectively. The characteristics of proteins in representative gels are shown in Figure 1 and described below.
https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_Fig1_HTML.jpg
Figure 1

Two-dimensional electrophoresis gel of separated proteins at three treatments. The 2-DE protein profiles of cucumber seedling roots under normoxic (A), hypoxia (B) and hypoxia + CaCl2 (C). The expression of numbered proteins was attended significantly and these proteins were identified by MALDI-TOF/TOF MA (see Tables 1 and 2).

Approximately 500 spots were detected in Coomassie blue (CBB)-stained gels. Thirty-eight of these spots showed significant changes in relative volume (>1.5-fold) and were excised from the gels for MALDI-TOF/TOF MS analyses.

Thirty spots were identified using the NCBI viridiplantae database (V.2010.12.10, 184045 sequences) and the NCBI EST viridiplantae database (V.2010.12.10, 1847412 sequences), giving an identification success rate approximately 79%. The results are summarized in Table 1. Four proteins (spots 2, 11, 12 and 36) expressed under normoxic and hypoxia + CaCl2 conditions did not appear to be expressed in hypoxia-treated plants. Spot 28 was present in plants under hypoxia and hypoxia + CaCl2, but was not present in plants under normoxic condition. Sixteen proteins (spots 4, 5, 8, 10, 13, 15, 16, 17, 18, 20, 22, 25, 27, 30, 32 and 37) were downregulated in hypoxia-treated plants, but upregulated in hypoxia + Ca2+ treated plants. Four proteins (spots 24, 33, 34 and 38) were downregulated under hypoxia and hypoxia + CaCl2 condition. The expressions of two proteins (spots 14 and 19) under hypoxia + CaCl2 conditions were significantly greater than those under normoxic and hypoxic conditions. Two proteins (spot 26 and 31) were upregulated under hypoxic conditions and further upregulated under hypoxia + CaCl2 conditions. Spot 1 was significantly accumulated under hypoxic and normoxic conditions.
Table 1

Differentially expression proteins identified by MALDI-TOF/TOF MS

aSpot No.

Protein name

Groups

Accession No.

Plant species

bMr/P I

Score

cPM

eCov (%)

fprotein expression (%Vol)

         

A B C

1

JGCCJG2048B02.b Jatropha curcas L. germinating seeds (mixed stages) Jatropha curcas cDNA clone

EST sequence

gi|302362663

Jatropha curcas

26.6/7.26

135

4

6.27

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq1_HTML.gif

2

Unnamed protein product

Other

gi|9759529

Arabidopsis thaliana

132.67/5.4

78

23

16.90

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq2_HTML.gif

4

Aconitate hydratase, cytoplasmic

Citric acid cycle

gi|1351856

Cucurbita maxima (winter squash)

98.57/5.74

184

16

19.04

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq3_HTML.gif

5

V-type proton ATPase catalytic subunit A

Energy metabolism

gi|401322

Gossypium hirsutum (upland cotton)

68.76/5.36

270

19

33.87

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq4_HTML.gif

8

phosphoglycerate mutase

Glycolysis

gi|32400802

Triticum aestivum (bread wheat)

29.62/5.43

169

8

30.43

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq5_HTML.gif

10

Enolase

Glycolysis

gi|14423688

Hevea brasiliensis

48.0/5.57

180

8

21.75

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq6_HTML.gif

11

Enolase

Glycolysis

gi|1169534

Ricinus communis (castor bean)

48.1/5.56

266

10

25.84

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq7_HTML.gif

12

starch synthase III

Energy metabolism

gi|9502143

Triticum aestivum (bread wheat)

184.0/4.94

68

22

12.10

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq8_HTML.gif

13

TransId-212581 CACATN1 Coffea arabica cDNA clone

EST sequence

gi|257024642

Coffea arabica

32.1/10.27

87

12

12.31

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq9_HTML.gif

14

CBOZ5962.b1 CBOZ Coccomyxa sp. C-169 8 kb Coccomyxa sp. C-169 cDNA clone

EST sequence

gi|282500599

Coccomyxa subellipsoidea C-169

25.4/10.03

85

12

16.27

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq10_HTML.gif

15

CLS_cLiFproots_25a3_1_h11cLibkit5LD_D06 CLS_cLiFproots_plant Festuca arundinacea cDNA clone

EST sequence

gi|257183562

Festuca arundinacea

39.4/9.76

88

13

10.27

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq11_HTML.gif

16

cofactor-independent phosphoglyceromutase

Glycolysis

gi|6706331

Apium graveolens

61.1/5.26

112

7

12.27

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq12_HTML.gif

17

putative protein phosphatase 2 C

Protein synthesis

gi|50725575

Oryza sativa Japonica Group

34.6/4.88

66

4

14.15

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq13_HTML.gif

18

galactokinase

Glycolysis

gi|53747925

Pisum sativum

55.2/5.4

78

3

5.84

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq14_HTML.gif

19

Glutamine synthetase cytosolic isozyme

Nitrogen metabolism

gi|12643762

Lotus japonicus

39.3/5.49

95

7

24.44

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq15_HTML.gif

20

pyruvate dehydrogenase2

Citric acid cycle

gi|162464059

Zea mays

40.1/5.54

184

5

12.06

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq16_HTML.gif

22

Malate dehydrogenase, cytoplasmic

Citric acid cycle

gi|11133373

Medicago sativa

35.9/6.39

624

11

48.49

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq17_HTML.gif

24

CLS_cLiFproots_52a4_1_b18cLibkit5LD_ A09 CLS_cLiFproots_plant Festuca arundinacea cDNA clone

EST sequence

gi|257180604

Festuca arundinacea

41.9/10.49

100

14

11.14

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq18_HTML.gif

25

Os03g0851100

Other

gi|115456623

Oryza sativa Japonica Group

48.6/6.04

77

7

15.45

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq19_HTML.gif

26

alcohol dehydrogenase

Fermentative metabolism

gi|52851054

Populus tremula

33.1/6.08

173

7

24.44

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq20_HTML.gif

27

putative pyruvate dehydrogenase e1 alpha subunit

Citric acid cycle

gi|13430788

Arabidopsis thaliana

43.5/7.15

178

13

34.20

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq21_HTML.gif

28

methionyl-tRNA synthetase

Protein synthesis

gi|4091008

Oryza sativa (rice)

90.9/6.55

78

15

18.66

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq22_HTML.gif

30

fructose-bisphosphate aldolase, class I

Glycolysis

gi|15227981

Arabidopsis thaliana

38.7/7.01

282

8

27.37

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq23_HTML.gif

31

peroxidase

Defense against stress

gi|167531

Cucumis sativus (cucumber)

32.7/6

96

2

5.78

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq24_HTML.gif

32

Os02g0121900

Other

gi|115443885

Oryza sativa Japonica Group

70.3/9.39

73

14

28.69

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq25_HTML.gif

33

F1-ATP synthase, beta subunit

Energy metabolism

gi|4388533

Sorghum bicolor

49.2/5.25

898

16

45.81

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq26_HTML.gif

34

Os06g0597200

Other

gi|115468776

Oryza sativa Japonica Group

40.1/5.32

78

6

12.66

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq27_HTML.gif

36

putative fructokinase

Glycolysis

gi|14423528

Arabidopsis thaliana

35.4/5.3

221

4

13.54

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq28_HTML.gif

37

FS080420 library SmFL Solanum melongena cDNA clone

EST sequence

gi|261665622

Solanum melongena

21.2/10.18

88

12

19.02

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq29_HTML.gif

38

GSTSUB_UP_031_F12_01SEP2004_086 GSTSUB Artemisia annua cDNA, mRNA sequence

EST sequence

gi|283968778

Artemisia annua

23.1/10.1

106

11

14.81

https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_IEq30_HTML.gif

aSpot numbers are given in Figure 1.

bTheoretical molecular mass (Mr) and isoelectric point (pI) of the identified proteins.

eThe percent coverage of peptides.

fhe relative levels of protein expression. A: normoxic; B: hypoxia; C hypoxia + CaCl2.

Eight identified spots (spots 1, 2, 13, 14, 15, 24, 37 and 38) were annotated either as unnamed proteins or ESTs in the databases, and three spots (spots 25, 32, 34) were described in The Rice Annotation project Database (RAP-DB). We searched for their homologs using BLAST http://www.ncbi.nih.gov/BLAST/ and their protein or nucleotide sequences as queries. The six proteins showing the highest similarity are listed in Table 2. These similar proteins showed more than 85% positives at the amino acid level, indicating that they might have similar functions. The remaining 19 identified proteins were involved in various biological processes and could be classified into three groups [23, 24]. The first group consists of proteins involved carbon metabolism, nitrogen metabolism, and energy metabolism. The second group consists of regulatory proteins involved in translation and synthesis. The third group consists of proteins participating the stress response.
Table 2

Homologs of unknown proteins

Spot No.

Accession No. a

Homologue

  

NCBI accession No. b

Protein Name

Plant species

Ident c

Pos d

B1

gi|302362663

CAI83772.1

glyceraldehyde-3-phosphate-dehydrogenase

Lupinus albus

93%

97%

2

gi|9759529

NP_200612.2

FIP1 [V]-like protein

Arabidopsis thaliana

99%

99%

13

gi|257024642

ACD03224.1

xyloglucan endotransglucosylase

Actinidia deliciosa

77%

91%

25

gi|115456623

AAG32661.1

translational elongation factor EF-TuM

Zea mays

89%

94%

32

gi|115443885

XP_003573599.1

pentatricopeptide repeat-containing protein At1g02060

Brachypodium distachyon

80%

90%

34

gi|115468776

BAD33043.1

putative protein phosphatase 2 C

Oryza sativa Japonica Group

100%

100%

aThe gi number of the unknown proteins. bThe accession number of homologues. cIdentities. dPositives.

Structural proteins and enzymatic proteins involved in energy metabolism

Most of the identified proteins were structural proteins (non-enzymatic proteins) and enzymes involved in energy metabolism. These enzymes seem to have particularly important roles in cucumber plants under hypoxic conditions. The expressions of cytoplasmic aconitate hydratase (spot 4), pyruvate dehydrogenase 2 (spot 20), cytoplasmic malate dehydrogenase (spot 22) and pyruvate dehydrogenase e1 alpha subunit (spot 27) from the TCA cycle were downregulated under hypoxic conditions, but upregulated under hypoxia + CaCl2 conditions. The TCA cycle is a key component of the metabolic pathway by which all aerobic organisms generate energy by oxidization of pyruvate into carbon dioxide and water. Pyruvate dehydrogenase 2 (PDH2), a pyruvate dehydrogenase E1 beta isoform, and pyruvate dehydrogenase e1 alpha subunit are involved in the formation of cellular energy through the TCA cycle and in the synthesis of acetylcholine (acety1-CoA). Acetyl-CoA may then be used in the TCA cycle to carry out cellular respiration; thus, pyruvate dehydrogenase links the glycolytic pathway to the TCA cycle and releases energy via NADH. Calcium activates pyruvate dehydrogenase, isocitrate dehydrogenase (IDH) and α-ketoglutarate dehydrogenase [25]. Aconitate hydratase (aconitase) catalyses the stereospecific isomerization of citrate to isocitrate via cis-aconitate in the TCA cycle [26, 27]. Malate dehydrogenases (MDH), which is essential to the TCA cycle, catalyses the conversion of oxaloacetate to malate [28]. Increased malate levels in plants contributes to plant acid resistance and aluminum toxicity tolerance [29]. In apples and tomatoes, significant accumulation of malate dehydrogenases gene transcripts is related to plant and cell growth, as well as to tolerance of salt stress [30]. The activities of enzymes such as succinate dehydrogenase (SDH), isocitrate dehydrogenase (IDH) and malate dehydrogenase (MDH) in the TCA cycle are different between the hypoxia and hypoxia + CaCl2 conditions, where exogenous calcium promotes the actives of SDH and IDH in cucumber [31]. Moreover, calcium acts to maintain higher activities of MDH and SDH and a certain level of aerobic respiration in pepper [32]. Thus, exogenous calcium seems to induce tolerance to hypoxia in cucumber plants through the activation of the enzymes involved in the TCA cycle.

Cytosolic enolase is expressed in many plant species in response to various environmental stresses, such as salt stress [33], cold [34, 35] and drought [36]. However, the level of protein expression appears not to be correlated with the enzyme’s activity. Although enolase activity was increased by the stresses, the level of expression of the enolase protein showed no fluctuation [37] or was even observed to significantly decrease [33]. In the present study, this enolase (spots 10 and 11) appeared to be downregulated under hypoxia compared to hypoxia + CaCl2 and control. These results imply that enolase activity is regulated at the posttranscriptional level under anaerobic conditions and its relative amount is increased by exogenous calcium during hypoxia.

The expression of phosphoglycerate mutase (PGAM) (spot 8) and cofactor-independent phosphoglyceromutase (iPGAM) (spot 16) markedly decreased under hypoxic stress, but increased on the addition of exogenous calcium. PGAM is a key enzyme in glycolysis, catalyzing the interconversion of the phosphate group from C-3 to C-2, which results in the conversion of 3-phosphoglycerate (3PGA) to 2-phosphoglycerate (2PGA). PGAMs are divided into two evolutionarily unrelated groups based on whether they require 2, 3-biphosphoglycerate as a cofactor: cofactor dependent PGAMs (dPGAMs) and cofactor-independent PGAM (iPGAMs). The iPGAMs are commonly present in higher plants, some invertebrates, fungi, and bacteria [38]. PGAMs are important to stomatal movement, vegetative biomass production, and reproduction in Arabidopsis [39]. Transgenic potato plants with reduced iPGAM enzyme activity showed reduced growth because of a reduced photosynthetic rate [40]. These phenomena suggest that the conversion of 3PGA to 2PGA may be inhibited under hypoxia, and that exogenous calcium may increase the abundance of the proteins.

Fructose-bisphosphate aldolase (FBP aldolase, spot 30) is also an essential enzyme involved in glycolysis. It catalyzes a reversible cleavage reaction of fructose-1, 6-bisphosphate (F-1, 6-BP) into two trioses: glyceraldehydes-3-phosphate and dihydroxyacetone phosphate (DHAP) [41]. Increased FBP aldolase activity stimulates the glycolytic pathway and plays an important role in gibberellin A (GA)-induced growth of rice roots [42] and in signal transduction [43]. In the present study, downregulation of FBP aldolase under the hypoxia altered the levels of glycolysis and inhibited the growth of cucumber roots. Exogenous calcium significantly elevated the quantity of the FBP aldolase, which may help alleviate the effects of hypoxic stress. This result is consistent with the expression profile of this protein in cucumber roots under salt stress [20].

The glycolytic pathway is the major source of energy when oxygen availability decreases below the level at which oxygen becomes limiting for oxidative phosphorylation [44]. Pyruvate produce from glycolysis is consumed by fermentative metabolism, which involves pyruvate decarboxylase (PDC) and alcohol dehydrogenase (ADH, spot 26). ADH catalyzes the reduction of pyruvate to ethanol and results in continuous NAD+ regeneration. ADH is considered essential for survival of plants during anaerobic conditions [45]. Ruthenium red, an organelle calcium channel blocker, dramatically reduced anoxia-induced ADH activity [46] and gene expression [47]. As expected, the quantity of ADH was increased under hypoxia and increased further under hypoxia + CaCl2.

Spot 12, spot 18 and spot 36 were identified as starch synthase III (SSIII), galactokinase and fructokinase, respectively. SS is involved in the elongation of the linear chains of starch [48]. SSIII specifically catalyzes the formation of chains with a degree of polymerization (DP) of 12 to 25. Other SS isoforms cannot fulfill this function [49]. Galactokinase is involved in the conversion of stachyose to sucrose in the cucumber peduncle [50]. Fructokinase specifically catalyzes the transfer of a phosphate group from ATP (the substrate) to fructose as the initial step in its utilization. Recent studies have suggested that sucrose and hexoses (mainly glucose and fructose) can act as sensing-molecules to elicit sugar responses in both source and sink organs when plants are under abiotic stress [51], and can control distinct aspects of plants’ development [52]. In the present study, these enzymes were significantly downregulated under hypoxia, but upregulated under hypoxia + CaCl2. A decrease of starch or carbon metabolic activity was also observed in other studies using various plant species under hypoxia [44, 53]. These observations provide a convenient explanation of the adaptive response of plants to hypoxia, namely that plants limit their energy consumption by suppressing the synthesis of storage substances, such as starch and protein [54, 55]. Calcium seems to enhance carbohydrate metabolism and induces sugar signaling to enhance tolerance of cucumber plants subjected to hypoxic stress.

According to recent studies using transgenic plants, overexpression or altered expression of glutamine synthetase (GS) promotes the development of plants [56] such as wheat [57] and Lotus corniculatus [58]. The expression of this protein (GS, spot 19) decreased under hypoxia, but was significantly enhanced under hypoxia + CaCl2. Thus, calcium appears to regulate nitrogen (N) metabolism through GS to relieve O2-deficient conditions in cucumber plants subjected to hypoxia.

ATP synthases (ATPases) are membrane-bound enzyme complexes/ion transporters that combine ATP synthesis and/or hydrolysis with the transport of protons through the membrane [20], playing a key role in biological energy metabolism. ATPases differ in respect to function (ATP synthesis and/or hydrolysis), structure (F-, V- and A-ATPases contain rotary motors) and in the type of ions they transport [59, 60]. Two ATPases, i.e. V-type proton ATPase catalytic subunit A (spot 5) and F1-ATP synthase, beta subunit (spot 33) were remarkably decreased under hypoxia. Under hypoxia + CaCl2, the level of the former (spot 5) was restored and the latter (spot 33) showed a tendency to be somewhat restored. These restored levels did not reach the level of the control (normoxic conditions). V-type proton ATPases generate a proton electrochemical gradient, which is the driving force utilized by the tonoplast Na+/H+ antiporter, to compartmentalize Na+ into the vacuole [61]. F1-ATPases in mitochondria, chloroplasts and bacterial plasma membranes are the prime producers of ATP, using the proton gradient generated by oxidative phosphorylation (mitochondria) or photosynthesis (chloroplasts). Mitochondrial Ca2+ accumulation triggers activation of mitochondrial metabolism, which increases ATP synthesis in mitochondria and ATP levels in cytosol [62]. This phenomenon suggests that hypoxia dramatically inhibits energy metabolism in cucumber plants, and in the case of these two ATPases, calcium cannot completely restore them to normoxic levels.

Calcium is an essential element for cell growth and plays a role as a second messenger in signal transduction pathways [63]. Therefore, it is not surprising that calcium is implicated in plant metabolism regulation signaling, particularly in association with oxygen deprivation [64]. According to Gao et al., exogenous calcium induces the promotion of physiologically active factors and matters in muskmelon plants, as compared to the factors and matters observed in plants under hypoxic stress after 6 days [65]. CaCl2 pretreatment increased the accumulation of amino acids in rice roots under anaerobic stress, possibly via a Ca-Camodulin complex involved in the transduction of an anaerobic signal that inhibits proteolysis and solute release [9]. In addition, downregulation of a suite of energy metabolic pathways, and therefore, oxygen-consumption, is a class of plant hypoxic responses [66]. In the present study, enzymes of carbon and nitrogen metabolism in the cytosol, mitochondria and chloroplasts were significantly induced by exogenous calcium. Thus, calcium enhances the tolerance of cucumber plants under hypoxia by regulating metabolic systems in the glycolytic pathway and the TCA cycle, and the activity of enzymes, such as ADH and GS. Although exogenous calcium had only a slight effect on ATPases, this effect seems to be part of the global effect of calcium on metabolism in cucumber plants.

Regulatory proteins

Plant growth and productivity is suppressed by hypoxic stress or flooding [67]. As the cell metabolism adapts to hypoxia, increased protein degradation might control the levels of one or more regulators/enzymes [68]. Protein phosphatase 2C (PP2Cs, spot 17) decreased under hypoxia and increased under hypoxia + CaCl2. This enzyme is a negative regulator of stress signaling in plants and mammals [69] and acts predominantly through the signaling pathway of the stress hormone, abscisic acid (ABA) [70]. Thus, the increase in the amount of the enzyme under hypoxia + CaCl2 may imply that the exogenous calcium influences ABA signaling to relieve hypoxic stress. Spot 28 was identified as methionyl-tRNA synthetase (MetRS). This enzyme is a multi-domain protein that specifically binds tRNAMet and catalyzes the synthesis of methionyl-tRNAMet [71], giving it a vital role in protein biosynthesis. The MetRS gene has been described in the mitochondria and chloroplasts of Arabidopsis thaliana [72] and has been linked with plant cell anti-oxidant defense during oxidative stress [73]. Although MetRS was not detected under normoxic conditions, it was induced under hypoxia and further increased under hypoxia + CaCl2. This result suggests that the expression of MerRS under hypoxia represents a stress response of the cucumber seeding and calcium enhanced this response under hypoxic stress.

Proteins related to the stress response

Excessive generation of reactive oxygen species (ROS) or oxidative stress is an integral part of many stress situations, including hypoxia [74]. Higher plants have active oxygen-scavenging systems, consisting of multiple defense enzymes that can modulate the steady-state level of ROS [75]. Peroxidase (POD, spot 31), a ubiquitous enzyme [76] present in plants, microbes, fungi and vertebrates. This enzyme acts as a biological catalyst to scavenge H2O2 [77]. The activities and gene expressions of superoxide dismutase (SOD) and ascorbate peroxidase (APX) were increased in pigeon pea [78], mung bean [74] and cucumber [79, 80] under waterlogged conditions. These phenomena were consistent with the changes in the expression of POD in the present study. In addition, the expression of POD was further increased by treatment with calcium. Thus, exogenous calcium can enhance the activities of ROS-scavenging enzymes to defend against the damage caused by ROS, which would suppress the effects of hypoxic stress.

Validation of differentially expressed proteins by western blotting

To maintain ATP levels in plants under hypoxia, the plants seem to continuously regenerate of NAD+ in the cytosol (glycolysis) and mitochondria (TCA cycle). Ethanol formed by alcohol fermentation diffuses rapidly out of the cells, inducing a considerable loss of carbon during hypoxia. In this regard, pyruvate decarboxylase (PDC) and alcohol dehydrogenase (ADH) are considered as important plant proteins for coping with hypoxia-induced cellular damage [81]. According to Kang et al. [82], 24-epibrassinolide (EBR) further enhances ADH activity in hypoxic cucumber roots. Therefore, PDC and ADH were analyzed by western blotting to verify the proteomic data. As shown in Figure 2, the expression of PDC and ADH seems to change among plants grown under the three culture conditions. The PDC protein levels were upregulated under hypoxia, as compared to normoxic (control) conditions, and was further upregulated under hypoxia + CaCl2. Under hypoxia and hypoxia + CaCl2, ADH showed a similar tendency that of PDC, although the level of ADH under normoxic conditions was very low. The western blot results correspond well with the proteomic results and were consistent with previous research.
https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_Fig2_HTML.jpg
Figure 2

Western blot analysis of PDC and ADH expression level under three treatments.

Transcript accumulation patterns for 12 candidate proteins

RT-PCR was used to analyze the changes in gene expression at the mRNA level of 12 identified proteins involved in glycolysis, the TCA cycle, energy metabolism, nitrogen metabolism, fermentative metabolism and defense against stress (Figure 3,A and B). Different peptide sequences obtained from protein spots were used to design primers to compare mRNA accumulation under control, hypoxia and hypoxia + CaCl2 conditions, 3 days after treatment. As shown in Figure 3A and B, the mRNA levels of seven transcripts (vatps, ela, adh, gas, pdh, mdh, atpβ, and ald) increased under hypoxia and decreased under hypoxia + CaCl2; adh expression was not detected under normoxic conditions. The gene expressions of ss and pod increased under hypoxic stress and further increased under hypoxia + CaCl2. The ach gene showed an opposite tendency. Thus, the mRNA levels did not correspond with the protein levels. This is not surprising, because the final amount and activity of a protein represents an accumulation regulatory events at their transcriptional, post-transcriptional, translational, and post-translational levels [83]. Therefore, the validity of estimating gene expression levels using protein expression data requires further study.
https://static-content.springer.com/image/art%3A10.1186%2F1477-5956-10-42/MediaObjects/12953_2012_Article_406_Fig3_HTML.jpg
Figure 3

RT-PCR analysis of transcript levels of differentially expressed proteins under three treatments. ach: aconitate hydratase; vatps: V-type proton ATPase; ela: enolase; adh: alcohol dehydrogenase; ss: starch synthase; gak: galactokinase; gs: glutamine synthetase; pdh: pyruvate dehydrogenase; mdh: malate dehydrogenase; pod: peroxidase; atpβ: F1-ATP synthase, beta subunit; ald: aldolase. Transcript levels were measured three days after the treatments (A), and the relative abundance ratio of the genes was analyzed (B). A single concentration of cDNA was also used for amplification with ACTIN (AF171095, actin) primers. ACTIN was used as the internal standard to determine the extent of cDNA amplification.

Conclusions

Proteomic analysis is an effective means for clarifying protein expression patterns and permits the identification of candidate proteins. In the present study, calcium was demonstrated to be involved in the short-term hypoxic tolerance of cucumber plants. Exogenous calcium enhanced the expression of proteins involved in glycolysis, the TCA cycle, nitrogen metabolism, protein synthesis, fermentative metabolism and ROS defense. This phenomenon suggests that exogenous calcium could induce hypoxia tolerance by improving enzyme activity in systems related to respiratory metabolism and stress defense in cucumber plants. However, western blotting and RT-PCR analyses showed different results for the candidate proteins. In general, exogenous calcium improves the hypoxia tolerance of plants via multiple systems that are regulated by multiple genes relating to various metabolic and signaling pathways. The present study provides evidence of the mitigating effect of exogenous calcium on the growth and metabolic activities of cucumber plants restrained under hypoxia. Further proteomic studies in this area are clearly warranted and are ongoing.

Methods

Plant materials and growth conditions

Cucumber (Cucumis sativus L. cv. Jinchun No.2, hypoxia sensitive [84]) seeds were sterilized with 0.5% (W/V) sodium hypochlorite solution for 10 min and then washed thoroughly with deionized water. The washed seeds were sown on two layers of wet filter paper and incubated in the dark at 28°C for 24 h. The germinated seedlings were transplanted to plastic trays (41 × 41 × 5 cm) containing quartz sand and grown at 25–30°C (day) and 15–18°C (night), with 60–75% relative humidity (RH), in a greenhouse of Nanjing Agriculture University in 2010. The seedlings were supplied with 1/2-strength Hoagland’s nutrient solution (pH 6.5 ± 0.1, EC 2.0–2.2 dS m−1). At the 2nd leaf development stage, relatively uniform seedlings were transferred to tanks containing full strength Hoagland’s nutrient solution. The solution was renewed every 3 days. The solution in the tanks was kept at 20–25°C and aerated with an air pump to keep the dissolved oxygen (DO) level at 8.0 ± 0.2 mg L−1 (the optimum DO level for cucumber). At the 3rd leaf development stage, seedlings were subjected to one of three treatments. (1) Control: 1/2 Hoagland’s solution (containing 2 mM Ca2+) with DO of 8.0 ± 0.2 mg L−1. (2) Hypoxia treatment: 1/2 Hoagland’s solution (containing 2 mM Ca2+) with DO of 1.0 ± 0.1 mg L−1, which was prepared by pumping N2-gas into the nutrient solutions as the hypoxic treatment. The oxygen concentration in the nutrient solutions was monitored with an automatic DO control system (Quantum-25, Quantum Analytical Instruments Inc., USA). (3) Hypoxia + CaCl2 treatment: 1/2 Hoagland’s solution + 4 mM CaCl2 with DO of 1.0 ± 0.1 mg L−1. The oxygen concentration in the nutrient solutions was controlled as in the hypoxia treatment.

Protein extraction

For analysis of total protein, root samples were harvested 3 days after the end of hypoxic treatment. Protein extraction was performed according to a modified version of the method of Hurkman [85]. Root samples (1–2 g fresh weight) were ground in a mortar with liquid nitrogen. The ground samples were suspended in 30 mM 2-amino-2-(hydroxymethyl)-1,3-propanediole (Tris)-HCl (pH 8.7) containing 1 mM ethylene glycol-bis(2-aminoethylether)-N,N,N’,N’-tetraacetic acid (EGTA), 1 mM dithiothreitol (DTT) and 1 mM phenylmethyl sulfonyl fluoride (PMSF), and then centrifuged at 15,000 g for 20 min. An aliquot (1 ml) of the resulting supernatant was placed into a tube and precipitated with acetone containing 10% TCA and 0.07% β-mercaptoethanol. The resulting protein sample was allowed to precipitate overnight at −20°C and then centrifuged at 20,000 g for 25 min. The pellet was rinsed three times with cold acetone containing 0.07% β-mercaptoethanol and allowed to stand at −20°C for 1 h. Finally, the protein pellet was air-dried and used for 2-DE.

2-DE

Isoelectric focusing (IEF) was performed according to the methods of Duncan and Hershey [86] and O’Farrell [87]. The dried protein pellet was rehydrated in rehydration buffer: 7 M urea, 2 M thiourea, 4% 3-[(3-cholanidopropyl) dimethylammonio]-1-propanesulfonic acid (CHAPS) (w/v), 40 mM DTT, 0.5% (v/v) immobilized pH gradient (IPG) buffer 4–7 and 0.01% (w/v) bromophenol blue. Protein levels were quantified according to the Bradford method [88]. IPG strips of nonlinear pI 4–7 (13 cm) were loaded with 250 μl of protein sample containing 800 μg protein in a rehydration tray for 12–16 h at room temperature. Following rehydration, the IPG strips were run on an Ettan IPGphor 3 (GE Healthcare, USA). The voltage for IEF was set at 200 V for 1 h, followed by 500 V for 1 h, 1000 V for 1 h, 3000 V for 30 min, 5000 V for 30 min, gradient 8000 V for 30 min, and 8000 V rapid focus, reaching a total of 35,000 V h. The cell temperature was maintained at 20°C with a maximum current of 50 μA per strip. After running the first dimension, IEF strips were equilibrated for 15 min with 10 ml DTT buffer containing 6 M urea, 30% (v/v) glycerol, 2% SDS, 1% (w/v) DTT and 50 mM Tris–HCl (pH8.8) and then with iodoacetamide buffer with 2.5% (w/v) iodoacetamide instead of DTT for 15 min.

The second dimensional SDS-polyacrylamide gel electrophoresis (SDS–PAGE) was carried out on running gels (Hoefer SE600 Ruby Standard Vertical System, GE Healthcare; 12.5% polyacrylamide) in the presence of SDS, as described by Laemmli [89]. The strips were embedded on the top of the SDS-gel and then sealed using a 1% molten agarose solution. Electrophoresis was carried out at 15 mA per gel until the bromophenol blue dye front reached about 1 cm from the bottom of the gel.

Image acquisition and analysis

For Coomassie brilliant blue (CBB) R-250 staining, the gels were fixed overnight in a mixture of MeOH–H2O (1:1, v/v) and AcOH:H2O (1:9, v/v) and then stained for 2 h in a mixture of AcOH:H2O(1:9, v/v) and 0.1% (w/v) CBB R-250. The stained gels were destained in a mixture of MeOH-H2O (1:1, v/v) and AcOH: H2O (1:9, v/v). The CBB-stained 2-D gels were scanned using an Image scanner III (GE Healthcare). The digitized images were analyzed with Imagemaster™ 2D Platinum version 5.0 (GE Healthcare). At least three gels from each treatment in three independent experiments were used for the analysis. The intensities of spots were quantified based on their relative volume, which was determined by the ratio of the volume of a single spot to the whole set of spots. Only spots with significant (at least 1.5-fold quantitative changes) and reproducible changes in three replicates were used for mass spectrometry. Student’s t-test and a significance level of 95% were used for the statistical analysis of the gels. Only the spots showing a statistically significant difference in protein abundance between the treatments were considered differentially expressed spots.

In-gel protein digestion, mass spectrometry and database search

Differentially expressed protein spots were excised from gels and transferred to sterilized 0.5 ml tubes. The excised protein spots were destained for 20 min with 100 mM NH4HCO3 in 30% acetonitrile (ACN) and then washed in Milli-Q H2O. The spots were kept in 0.2 M NH4HCO3 for 20 min and then lyophilized and rehydrated. Each spot was digested overnight in 30 μl of 50 mM NH4HCO3 containing 50 ng trypsin (Promega, Madison, WI, USA). After overnight digestion at 37°C, the peptides were extracted three times with a mixture of 50% ACN and 0.1% CF3CO2H (TFA). Extracts were pooled together and lyophilized. The resulting lyophilized tryptic peptides were kept at −80°C until mass spectrometric analysis.

MALDI-TOF/TOF MS analysis and database searching

MS and MS/MS spectra were obtained using the ABI 4800 Proteomics Analyzer MALDI-TOF/TOF (Applied Biosystems, Foster City, CA, USA) operating in a result-dependent acquisition mode. Peptide mass maps were acquired in positive ion reflector mode (20 kV accelerating voltage) with 1000 laser shots per spectrum. Monoisotopic peak masses were automatically determined within the mass range 800–4000 Da, with a signal to noise ratio minimum set to 10 and a local noise window width of m/z 250. The most intense ions were selected as precursors for MS/MS acquisition, excluding common trypsin autolysis peaks and matrix ion signals. In MS/MS-positive ion mode, spectra were averaged, collision energy was 2 kV, and default calibration was set. Monoisotopic peak masses were automatically determined with a signal to noise ratio minimum set to 5. The MS, together with MS/MS spectra were searched against the NCBI viridiplantae (V.2010.12.10, 184045 sequences) and NCBI EST viridiplantae databases (V.2010.12.10, 1847412 sequence) using the software GPS Explorer™, version 3.6 (Applied Biosystems) and MASCOT version 2.1 (Matrix Science, London, UK). The parameters used for searching were: trypsin cleavage, one missed cleavage allowed; carbamidomethyl (C) set as a fixed modification; oxidation of methionines allowed as variable modification; peptide mass tolerance within 100 ppm; fragment tolerance set to ± 0.3 Da; and minimum ion score confidence interval for MS/MS data set to 95%.

RT-PCR analysis

Total RNA was extracted from roots as described in the TRI reagent protocol (Takara Bio Inc). For all samples, total RNA (1 μg) was converted to cDNA using a Superscript first-strand synthesis system for RT-PCR according to the manufacturer’s instructions (Takara Bio Inc).

Primers were designed from the peptide sequences obtained after mass analysis according to NCBI and cucumber databases (cucumber.genomics.org.cn). Gene-specific primers used for PCR are shown in Table 3. PCR conditions were optimized for each primer set. PCR was carried out by denaturing the cDNA at 94°C for 5 min; followed by 30 cycles of 94°C for 30 s, annealing temperature (shown in Table 3) for 30 s, and extension at 72°C for 35 s. The final PCR extension step was at 72°C for 7 min. The amplified cDNA fragments were separated by 1% agarose gel electrophoresis.
Table 3

Primer sequences used in RT-PCR

Transcripts

Product length (bp)

Annealing temp. (°C)

Primer pairs

ahd

714

57

S 5-TCAAGGTCGCCAATCCCA-3

   

AS 5-TATGCCAGCAGCCTCAAAC-3

vatps

427

57

S 5-GGCAGTGTTACTATTGTCGG-3

   

AS 5-TATTACGCATCATCCAGACC-3

adh

415

57

S 5-AGGGTTCATCTGTTGCTATCT-3

   

AS 5-GGAATGTCAGTTCTCGGTTT-3

ela

455

55

S 5-GTGGATTCGCTCCTAACA-3

   

AS 5-TTTCACAGCCTCAATACTCT-3

ss

318

57

S 5-GAGTTTGAGGTCCAGACTATTT-3

   

AS 5-AATTTAACTGCTGCCTGATT-3

gsk

663

53

S 5-TGCCAGTTGGACTTGACG-3

   

AS 5-GGGATGCTCGCTGATACA-3

gs

427

55

S 5-CCAGGAGAAGACAGTGAA-3

   

AS 5-AGATGTAACGAGCAACCC-3

pdh

437

55

S 5-CCCCAAATCTACCGTCTC-3

   

AS 5-AACTCCACAACAGGCTTC-3

mdh

294

53

S 5-TGAATGGCGTAAAGATGG-3

   

AS 5-GGATGGAAGGAGCAAACT-3

pod

463

57

S 5-ATTCGCCTCCATTTCCAT-3

   

AS 5-GGCTTCCAGTTCCGTTGA-3

atpsβ

459

57

S 5-TTGACCAGGCAACGGAACA-3

   

AS 5-TACGACCAAGCAAAGCAGACAC-3

ald

546

57

S 5-CTACAGAGGCAAATACGCT-3

   

AS 5-TCAGGCTCCACAATAGGT-3

actin

290

58

S 5-CCGTTCTGTCCCTCTACGCTAGTG-3

   

AS 5-GGAACTGCTCTTTGCAGTCTCGAG-3

S: Sense primer; AS: Anti-sense primer.

Western blot analysis

The protein was extracted from roots using a mixture containing 0.5 M Tris–HCl (pH 6.8), 20% (v/v) glycerol, 2% (w/v) SDS, 5% (v/v) β-mercaptoethanol and 0.01% (w/v) bromophenol blue. The extracted protein was quantified by the Bradford method [88], denatured at 95°C for 3–5 min and then stored at −20°C until analysis.

SDS-PAGE was performed according to the method of Laemmli [89]. After electrophoresis, protein bands were visualized with Coomassie blue R250. For western blot analysis, proteins (15 μg from each sample), separated by SDS-PAGE as above, were transferred to a 0.45 μm PVDF membrane and detected with antibodies (produced in rabbit; Univ-bio, Shanghai, China) raised against ADH (AS10_685), PDC (AS10_691), and SAM (positive control). The membrane was blocked with 5% nonfat dry milk for 2 h and washed with TBST three times. The membrane was then probed with the appropriate rabbit primary antibody at a 1: 2000 dilution in TBST supplemented with 5% nonfat dry milk. After an overnight incubation at 4°C, the membrane was washed with TBST and incubated at room temperature for 1 h with a Goat Anti-Rabbit IgG HRP-conjugate (1:1000 dilution with 5% dry milk) in TBST. The membrane was then washed with TBST three times and developed using diamino benzidene (DAB) and H2O2.

Notes

Declarations

Acknowledgements

The research was support by the National Basic Research Program of China (973 Program) (No.2009CB119000), the National Nature Science Foundation of China (No.30871736, 30900995, 31071831, and 30571263), and partially supported by the earmarked foundation for Modern Agro-industry Technology Research System (No.CARS-25-C-03).

Authors’ Affiliations

(1)
College of Horticulture, Nanjing Agriculture University/Key Laboratory of Southern Vegetable Crop Genetic Improvement, Ministry of Agriculture
(2)
Anhui Science and Technology University

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