Abstract
The secretome of a tobacco cell suspension culture was investigated by a combined proteomic and metabolomic approach. Protein analysis from 2-DE gels led to identification of 32 out of 60 spots from culture medium. Identified proteins were mainly involved in stress defence and cell regeneration processes. Among them three putative new isoforms, e.g. for chitinase, peroxidase and β-1,4-xylosidase were identified, not yet present in available protein databases for the genus Nicotiana. GC-MS analysis of time course experiments revealed significant changes for metabolites involved in energy transport, signalling and cell development. Among them, the most significant increase was found for putrescine in the medium of cultures entering the exponential phase. Results showed strong abundance of stress associated proteins and metabolites in the absence of elicitors or additional stress treatments.
Keywords: apoplast, suspension culture, tobacco, extracellular proteins, secreted putrescine
1. Introduction
During recent decades plant tissue cultures have been used extensively to study cell growth and metabolism. Like their wild relatives plant cell cultures have been shown to also synthesize a wide variety of secondary metabolites, often with highly complex structures and of pharmaceutical importance. As chemical synthesis of relevant secondary compounds is often economically not feasible, isolation from plants is still the method of choice. Although biotechnological production using plant tissue cultures has been discussed as an alternative, its commercial use is still limited due to the lack of knowledge about biosynthetic pathways and their regulation [1]. On the other hand, synthesis of secondary compounds in vivo is often related to recognition of abiotic or biotic stress conditions, which also have a big impact on yield and quality of crop plants used for feeding animals and human nutrition. To study biosynthetic pathways plant tissue cultures are often used as they are easy to cultivate, and manipulation of secondary metabolite production in the non-differentiated cells can be done by treatment with elicitors (e.g. methyl jasmonate, salicylic acid and chitosan) as well as by application of abiotic stress such as UV-light [2]. Much work has been done in the last decades with regard to investigation of specific pathways such as those of phenylpropanoid, alkaloid, and terpenoid biosynthesis [3–5]. Taking advantage of recent developments for comprehensive analysis of complex biological systems (e.g. proteomics, transcriptomics, and metabolomics techniques) more detailed analyses of molecular and cellular changes in plant cell cultures have been performed. As an example recent studies of the effects of biotic and abiotic elicitors on metabolism in the model legume Medicago truncatula revealed strong correlations between changes in the primary metabolite pool and changes to secondary metabolism at the metabolite level [6] as well as on the transcript level [7]. A number of other studies combining the approaches named above have consistently provided new insights into metabolic regulation of plant stress responses at the cellular level [8,9]. In addition, comprehensive mapping of protein pattern as shown for a suspension culture of Medicago truncatula [10] should provide a useful tool for future comparative protein analyses and for functional genomic studies.
However, most investigations have been focused on biochemical changes in the cells. Plants secrete in addition a variety of proteins and metabolites into the extracellular space (apoplast) or bind them to the cell wall [11–13]. In fact, apoplast function is crucial for plant life and includes: (I) growth regulation, (II) tissue structure, (III) defence against abiotic and biotic stress factors, (IV) transport, (V) osmotic homeostasis, (VI) cell adhesion, (VII) and gas exchange [14]. In early reports the capability of cultured cells of Nicotiana tabacum to secrete vacuolar proteins like α-mannosidase, class I chitinase and class I β-1,3-glucanase has been shown [15]. Cell suspension cultures were also used in many studies to investigate stress and defence reactions in the apoplast. Thus, a secreted lipase was identified to be directly associated with ethylene signalling in response to infection of A. thaliana suspension culture cells with the necrotrophic fungus Alternaria brassicicola [16]. On a metabolic level studies have identified many secondary metabolites secreted into culture media [17,18]. Moreover, a number of proteins were identified from the apoplastic fraction of an Arabidopsis cell culture without stress treatment, mainly related to cell wall regeneration, but also to stress response [19]. All together, this indicates a permanent induction of cell division processes in coordination with stress response mechanisms. Here we have investigated the extracellular components from a tobacco cell suspension culture without further stress treatment and found more than 60 proteins present in the medium. Furthermore, in addition to well known defence related and secreted secondary metabolites like scopolin, other metabolites related to stress and cell development were identified in the medium. Most of the secreted components can be related to defence or stress response and cell wall modification.
2. Results
2.1. Growth and Viability
S2LS3 cells were cultivated as described in the Experimental Section. For initial characterization growth rate and viability of cells were evaluated for 1, 2, 3, 4, 7, 8, 9 and 10 days of cultivation time. The growth of S2LS3 cell suspension culture showed a standard sigmoid curve with a lag-phase (0–2d), log-phase (3–7d) and a stationary phase (8–10d) (Figure 1A, open circle). The following typical subculture periods were 7 days. To estimate the viability, cells were stained with fluoresceine diacetate (FDA). No significant changes in cell vitality were observed over the whole cultivation time and on every time point at least 93 % of collected cells were vital (Figure 1A, black circle, and Figure 1B). This finding indicated that the culture medium used for analyses was not or only marginally contaminated with cell fragments or intracellular compounds. For protein analysis, samples were harvested at day 7, the end of log-phase. Samples for metabolite analysis were taken at different time points to estimate kinetic trends of accumulation.
2.2. Identification of Secretory Proteins
Preliminary experiments for analysis of extracellular proteins showed increasing accumulation of proteins in the cell culture medium during the log phase, and proteolytic degradation becoming apparent only at day 10 of cultivation. The concentration of accumulated proteins varies during cultivation time, showing highest protein concentrations in the medium at day 7. Thus, we have chosen to use the medium from the end of the log-phase at day 7 of cultivation for analysis of the secreted proteins to get the highest recovery of secreted proteins. The patterns of proteins secreted by the cells were analyzed in four independent experiments. After 2-DE separation and staining with colloidal CBB, more than 60 spots were visualized in all replicates. A characteristic 2-DE image is shown in Figure 2A. Reproducibility of individual 2-DE images of all experiments was evaluated using image analysis software. Comparison of spot intensities showed good reproducibility between the 4 biological replicates (Figure 3). From all spots pieces of similar size were excised, proteins were digested with trypsin and digests analyzed by nanoLC ESI-QTOF-MS/MS. In total, 32 out of 64 Spots could be identified. Table 1 presents the protein name, accession number, biochemical properties, as well as peptides leading to the respective identification.
Table 1.
Spot | Description | Organism | Accession | Peptides | mW | pI | Signal |
---|---|---|---|---|---|---|---|
Hydrolyzing O-glycoside | |||||||
1, 2, 3, and 4 | Xylan 1,4 beta xylosidase a | P. tremula | Q2MCJ5 | (K)AVSNNFATLMR(L) | 81423 | 6,0 | yes |
LEXYL2 protein Fragment a | S. lycopersicum | Q76MS4 | (K)VTQQDLDDTFNPPFK(S) | 68868 | 7,7 | no | |
(K)VDMTNMNMR(A) | |||||||
homologue to LEXYL2 protein Fragment Q76MS4 b | S. tuberosum | TC145815 | (T)AVSNNFATLMR(T) | no | |||
(T)VTQQDLDDTFNPPFK(C) | |||||||
(T)AVSNNFATLMR(T) Ox (M10) | |||||||
similar to Q76MS4 LEXYL2 protein Fragment partial 37 b | N. tabacum | TC13056 | (A)LPMTWYPQSYADK(T) | ||||
(A)LPMTWYPQSYADK(T) Ox (M3) | |||||||
(G)VDMTNMNMR(G) | |||||||
(A)GPTVFNFGDGLSYSNYK(C) | |||||||
12, 14, 15, 22 | Xylan 1,4 beta xylosidase a | P. tremula | Q2MCJ5 | (K)AVSNNFATLMR(L) | 81423 | 6,0 | Yes |
18, 20, 21, | Beta xylosidase like protein a | A. thaliana | Q9LXD6 | (R)LGFFDGDPK(S) | 83168 | 7,2 | yes |
22, and 23 | LEXYL2 protein Fragment a | S. lycopersicum | Q76MS4 | (K)VTQQDLDDTFNPPFK(S) | 68868 | 7,7 | no |
homologue to Q76MS4 LEXYL2 protein Fragment partial 88 b | S. tuberosum | TC145815 | (C)AVSNNFATLMR(G) | no | |||
(T)VTQQDLDDTFNPPFK(C) | |||||||
similar to Q76MS4 LEXYL2 protein Fragment partial 37 b | N. tabacum | TC13056 | (C)LPMTWYPQSYADK(T) | ||||
25 | Alpha galactosidase Fragment a | Petunia hybrida | Q6UAY5 | (K)TFASWGVDYLK(Y) | 31305 | 4,7 | no |
27 | LEXYL2 protein Fragment a | S. lycopersicum | Q76MS4 | (K)VTQQDLDDTFNPPFK(S) | 68868 | 7,7 | no |
Xylan 1,4 beta xylosidase a | P. tremula | Q2MCJ5 | (K)AVSNNFATLMR(L) | 81423 | 6,0 | yes | |
homologue to Q76MS4 LEXYL2 protein Fragment partial 88 b | S. tuberosum | TC145815 | (T)VTQQDLDDTFNPPFK(C) | no | |||
(T)AVSNNFATLMR(T) | |||||||
34 | Glucan endo 1,3 beta glucosidase acidic isoform PR Q precursor c | N. tabacum | P36401 | (R)IYDPDQPTLEALR(G) | 36971 | 5,0 | yes |
(R)YIAVGNEVSPLNENSK(Y) | |||||||
(K)YVPVLLNAMR(N) | |||||||
(R)NIQTAISGAGLGNQIK(V) | |||||||
(K)VSTAIETGLTTDTSPPSNGR(F) | |||||||
35 | Alpha galactosidase a | C. canephora | Q5DUH7 | (K)LGIYSDAGTQTCSK(T) | 41203 | 5,5 | no |
37, 38 | Xyloglucan endotransglucosylase hydrolase XTH3 a | S. lycopersicum | Q6RHY0 | (R)IIFYVDGTPIR(E) | 32134 | 5,1 | yes |
homologue to Q6RHY0 Xyloglucan endotransglucosylase b hydrolase XTH3 partial | N. tabacum | TC5192 | (A)IIFYVDGTPIR(T) | yes | |||
(C)APFSASYR(A) | |||||||
homologue to Q6RHY0 endotransglucosylase hydrolase XTH3 b partial | S. lycopersicum | TC186880 | (G)NSESIGVSYPK(T) | yes | |||
41 | LEXYL2 protein Fragment a | S. lycopersicum | Q76MS4 | (K)VTQQDLDDTFNPPFK(S) | 68868 | 7,7 | no |
homologue to Q76MS4 LEXYL2 protein Fragment partial 88 b | S. tuberosum | TC145815 | (T)VTQQDLDDTFNPPFK(C) | no | |||
(T)AVSNNFATLMR(T) | |||||||
52 | LEXYL2 protein Fragment complete b | S. lycopersicum | TC170394 | (T)ISMLVNTAGSVSR(T) | no | ||
57 | Glucan endo 1 3 beta glucosidase acidic isoform PR Q c | N. tabacum | P36401 | (R)IYDPDQPTLEALR(G) | 36971 | 5,0 | yes |
Protease acitivity | |||||||
57 | Subtilisin like protease a | N. tabacum | A9XG40 | (R)TPSFLGLDR(S) | 81136 | 6,6 | yes |
(K)GYETTLGPVDVSK(E) | |||||||
Subtilisin like protease a | N. tabacum | A9XG41 | (R)TPSFLGLDR(S) | ||||
(K)GYETTLGPVDVSK(E) | 81123 | 6,7 | yes | ||||
6 | Subtilisin like protease a | N. tabacum | A9XG40 | (K)GYETTLGPVDVSK(E) | 81136 | 6,6 | yes |
(K)VSTVFSPSNSVK(V) | |||||||
(K)VSVEPETLVFTR(A) | |||||||
Subtilisin like protease a | N. tabacum | A9XG41 | (K)GYETTLGPVDVSK(E) | 81123 | 6,7 | yes | |
(K)VSTVFSSSNSVK(V) | |||||||
(K)VSVEPETLVFTR(V) | |||||||
Chitinases activity | |||||||
45, 46, | CHIP TOBAC Acidic endochitinase P precursor c | N. tabacum | P17513 | (R)GPIQLTNQNNYEK(A) | 27452 | 4,7 | yes |
(R)QDLVNNPDLVATDATISFK(T) | |||||||
47 | Chitinase a | M. charantia | Q207U1 | (R)SFPGFGTTGDDATR(K) | 34034 | 8,1 | yes |
CHIQ TOBAC Acidic endochitinase Q precursor c | N. tabacum | P17514 | (R)WTPSAADQAANR(V) | 27615 | 4,9 | yes | |
CHIP TOBAC Acidic endochitinase P precursor c | N. tabacum | P17513 | (R)GPIQLTNQNNYEK(A) | 27452 | 4,7 | yes | |
Peroxidase activity | |||||||
11 | Peroxidase a | P. sativum | Q18PR1 | (R)ISPLTGTNGEIR(K) | 34257 | 8,2 | yes |
Peoxidase like protein a | A. thaliana | Q0WLG9 | (K)DAAPNANSAR(G) | 38084 | 5,6 | yes | |
similar to Q9LEH3 Peroxidase precursor partial 91 b | N. tabacum | TC12826 | (T)GFDVVDNIK(A) | yes | |||
24 | Lignin forming anionic peroxidase c | N. tabacum | P11965 | (K)DAPANVGAGGFDIVDDIK(T) | 34652 | 4,5 | yes |
(K)GPSWQVLFGR(K) | |||||||
(K)GMDLTDLVALSGAHTFGR(A) Ox (M2) | |||||||
(K)LGNISPLTGTNGQIR(T) | |||||||
Protein binding and Proteinase inhibitor activity | |||||||
36 | Biotic cell death associated protein a | N. glutinosa | Q850R9 | (K)IEDGFVTTGGIK(G) | 25141 | 8,6 | yes |
49 | Biotic cell death associated protein a | N. glutinosa | Q850R9 | (K)IEDGFVTTGGIK(G) | 25141 | 8,6 | yes |
Pathogenesis related protein family 1 – unknown function | |||||||
55, 58 | Pathogenesis related protein 1B c | N. tabacum | P07053 | (K)AVEMWVDEK(Q) | 18487 | 5,2 | yes |
(K)AVEMWVDEK(Q) Ox (M4) | |||||||
Pathogenesis related protein 1A c | N. tabacum | P08299 | (K)AVEMWVDEK(Q) | 18561 | 4,6 | yes | |
(K)AVEMWVDEK(Q) Ox (M4) | |||||||
Pathogenesis related protein 1C c | N. tabacum | P09042 | (K)AVEMWVNEK(Q) | 18570 | 5,2 | yes |
Most of the proteins present in the secretome of S2LS3 cells were identified as β-xylosidase. Peptides belonging to this protein were found in several series of protein spots, e.g. spot #1 to 4, spot #12, 14, 15, and spot #18, 20, 21, 22, 23 (refer also Figure 2B). In addition, some single protein spots from various regions of the 2-D gels were identified as β-xylosidase; e.g. spot #27, 41, and 52 (refer also Figure 2A). Although β-xylosidase was identified in all the protein spots mentioned above, identification relied on various protein ID’s from several organisms, e.g. Populus tremula, Solanum lycopersicum, and Arabidopsis thaliana (refer Table 1). Among these a database search of corresponding peptides also led to the identification of one EST-clone from Nicotiana (e.g. TC13056). Analysis of tryptic peptides from spot #45, 46, and 47 lead to identification of an acidic endochitinase from Nicotiana tabacum. Thereby, peptides for acidic endochitinase isoform P (P17513) were found in spots #45, 46, and 47, whereas peptides for acidic endochitinase isoform Q (P17514) were exclusively found in spot #47. Moreover, an additional peptide leading to identification of a chitinase from Momordica charantia was found for spot #47 (refer Table 1). This protein only showed a homology of 54.2 % to P17513 and 55.1 % to P17514. In Figure 4 alignment of protein sequences from acidic endochitinase isoform P (P17513), isoform Q (P17514) and the chitinase from M. charatnia is shown. Peptides which led to identification of the respective protein are indicated in grey, and black marked amino acids show the difference to the other isoforms. Peptides diagnostic for each protein could be found.
Database search identified spots #55 and 58 as pathogenesis related protein (N. tabacum). However, from the identified peptide it was not possible to distinguish between the three isoforms of pathogenesis related protein, 1A (P08299), 1B (P07053), and 1C (P09042); refer also to Table 1.
Furthermore, in the set of secreted proteins subtilisin like protease isoforms from N. tabacum, A9XG40 and A9XG41 were found in spots #6 and 57. Several peptides have been detected for both spots leading to the same identification, however only in spot 57 could a unique sequence for both isoforms be identified.
In addition, a number of defence-related proteins and proteins involved oxidative stress metabolism were identified, e.g. spot #11 as peroxidase and spot #24 as lignin forming anionic peroxidase, among others.
Among the identified proteins, several were identified in multiple spots on the 2-D gels, e.g. spots #25 and 35 were annotated as α-galactosidase, spots #34 and 57 as glucan-endo-1,3-β-glucosidase acidic isoform PR Q, spots #36 and 49 as biotic cell death associated protein, and spots #37 and 38 as xyloglucan endotransglucosylase, respectively (see also Table 1).
In principle, secreted proteins could also accumulate in a culture medium as a result of cell damage. However, our results clearly indicate that the protein patterns observed resulted from secretion of proteins. Firstly, cell viability was very high and only few cells showed cell death also after seven days (refer also to Figure 1). Secondly, protein patterns of intracellular proteins were clearly different from the secretome. A characteristic 2-DE image from an intracellular protein fraction of S2LS3 cells is shown in Figure 2C. Comparative image analysis of spot patterns from secreted with intracellular proteins showed little overlap. Moreover, most of the identified proteins were predicted to have a signal peptide and/or to be secreted (cf. Table 1). For calculations the SignalP 3.0 program (http://www.cbs.dtu.dk/services/SignalP) was used with the following settings: as organism group eukaryotes were selected and the prediction method was the hidden Markov model. Predicted signal peptide sequences have been accepted when showing a higher probability than 0.55.
For annotation of the identified proteins according to their putative function, the criteria of UniProt protein database (GO annotation) were followed (Table 1). In summary, all identified proteins were either related to stress responses, defence reactions or cell wall metabolism. Thereby, some proteins described to be involved in cell wall metabolism were also annotated as being stress or defence response related in the database. These proteins belong to the cluster of pathogenesis related (PR) or pathogenesis related like (PRL) proteins containing members from different protein subfamilies [20]. In Figure 5 a pie chart is shown, representing the grouping of identified proteins due to their molecular or biochemical function as taken from GO annotation. Most proteins were found to exhibit glycosidase activity, followed by proteins with chitinase, peroxidise, and protease activity. In addition a group of PR1 proteins was annotated with still unknown biochemical function.
2.3. Secreted Metabolites
Secreted metabolites were analyzed by a GC-MS approach, which is a powerful tool, as a wide range of compounds can be measured within a single chromatographic run [21]. Metabolite profiles from different time points (day 1, 3, 5 and 7) were analyzed from six biological replicates as described and acquired data were used for principle component analysis (PCA). A typical total ion current chromatogram (TIC) is shown in Figure 6A. Within the extracted time window of 6 to 37 min, 2,481 exact mass retention time pairs were used for PCA with the parameters described in the Experimental Section. From the raw data a Loading Plot was calculated by MarkerLynx software (Figure 6B) and transferred to the reduced Score Plot within the PCA analysis (Figure 6C). The calculated clusters showed a strong correlation with the different time points. After extraction of the responsible exact mass retention time pairs (EMRTs) saturated ions were excluded from the data set because of their high variance. In fact, these EMRTs belong to the medium components, such as sucrose, the monosaccharides glucose and fructose derived from sucrose and inositol. The intensities of these most abundant signals decreased over time consistent with the consumption of sugars by the growing cell culture (data not shown). For the annotation of metabolites, the NIST 05 library was utilized. Whenever available reference compounds were also analyzed to check the retention time correlation and fragment spectra. Metabolites showing altered profiles during cultivation were identified as galactose, benzoic acid, inositol, and three other sugar furanoside derivatives which were not further identified yet. Among them, galactose and putrescine increased with time, whereas benzoic acid was detected in a low density over the whole cultivation time. Interestingly, myo-inositol an important factor for cell growth and supplemented to medium was undetectable after day 3. Intensities and retention time of these metabolites are shown in the supplementary data (Table S1).
Another fragment which showed a strong increase over the cultivation time was annotated as the diamine, putrescine. In labelling experiments with 15N, the production of putrescine from cell culture was proven and a shift from 14N to 15N isotope fragments was detected (supplementary data, Figure S1). For the relative quantification of secreted metabolites the peak areas of a typical unique mass of putrescine (m/z=174.1) were used. Results, shown in Figure 7, clearly indicate a strong increase of secreted putrescine after three days of cultivation.
However, for absolute quantification of putrescine targeted extraction and analysis with HPLC is more suitable than GC-MS [22–24]. Thus, targeted extraction of polyamines with perchloric acid, a derivatisation with dansyl chloride and subsequent analysis with HPLC coupled to fluorescence detection was performed. A representative chromatogram is shown in the supplementary data (Figure S2). Advantages were a higher sensitivity and a better reproducibility of signal intensities from independent samples. Furthermore, samples were harvested on five time points (1d, 3d, 4d, 5d, and 7d) to also investigate the dramatic increase between day three and five, as seen in the GC-MS analysis. As expected the kinetic trends showed similar results like GC-MS analyses. For absolute quantification a calibration curve with authentic putrescine was used. The concentration of putrescine showed a slow increase within the first three days from 4 nmol·mL−1 to 15 nmol·mL−1. On day four, putrescine increased 20 fold to 84 nmol·mL−1 as compared with day one. After this dramatic rise only a slight further increase (to 115 nmol·mL−1) was observed, indicating that biosynthesis and/or secretion occurred prominently at the onset of the exponential growth phase.
3. Experimental Section
All chemicals were of analytical grade or higher and were obtained from Sigma-Aldrich (Munich, Germany), Roth (Karlsruhe, Germany) or Merck (Darmstadt, Germany).
3.1. Growth and Viability of Cell Culture
The cell suspension culture was derived from a root callus of N. tabacum L. cv Havana SR1 [25]. Cells were grown in Linsmaier-Skoog medium [26] LS-3 supplemented with 30 g·L−1 sucrose, 2 mg·L−1 of the auxin α-naphtalene acetic acid (NAA) and 0.3 mg·L−1 of the cytokinin kinetin. Erlenmeyer flasks (100 mL) with 20 mL of culture medium for end point experiments, and Erlenmeyer flasks (250 mL) containing 70 mL of culture medium for time course experiments were used. Subcultures were started by inoculation with 4 mL of 7 days old stock suspensions and cultivated under continuous shaking at 110 rpm at 25 °C in the dark. The growth was measured as packed cell volume of 5 mL suspension culture. Centrifugation at 100 × g for 5 min at 25 C, the volume of sedimented cells was measured using a graduated centrifuge tube. Viability of cell culture was estimated daily by staining with fluorescine diacetate [27,28].
3.2. Extraction and Purification of Proteins
Culture medium of cell suspension was obtained by three filtration steps. First, cells were removed through Nylon mesh with pore diameter of 100 μm, followed by filtration through Nylon mesh of 25 μm pore size. After that, filtration through cellulose acetate (0.45 μm, Sartorius) was performed to remove cell debris. The filtrate was frozen in liquid nitrogen, and freeze dried or directly used for metabolite analysis. The dried material was resolved in one tenth of the original volume. Ten μL of dissolved medium were used for protein quantification with Bradford assay [29] using bovine serum albumin as a standard. Finally an aliquot of the protein extract was precipitated with methanol/chloroform as described by Wessel and Flügge [30] to concentrate proteins prior to subsequent 2D gel electrophoresis. The pellet was dried under nitrogen at 30 C.
3.3. Two Dimensional Gel Electrophoresis (2-DE)
The pellet from protein extraction was dissolved in lysis buffer containing 8 M urea, 2% (w/v) CHAPS, 20 mM DTT, 0.5% IPG buffer as described by Amme et al. [31]. Insoluble material was removed by centrifugation (15 min, room temperature, 20,000 × g). Additional supernatant was clarified with 0.45 μm filter units (ULTRAFREE-MC; Millipore, Eschborn, Germany). The protein concentration was determined using the 2-D Quant Kit (GE Healthcare) following the manufacturer’s instructions. Fifty μg of protein was loaded onto IPG strips (7 cm, pH 3–10) by rehydration on a IPGPhor 2 unit (GE Healthcare) and IEF was carried out at following parameters: active rehydration step of 14 hrs (50 V) at 20 °C, then 60 min gradient to 250 V, 60 min gradient to 500 V, 60 min gradient to 4,000 V and 5.30 hrs 4,000 V with a total of about 25 kVh. After isoelectric focusing, strips were equilibrated and separated on a SDS polyacrylamid gel (SDS-PAGE, 11.25% acrylamide) in a Hoefer S600 apparatus (GE Healthcare).
3.4. Digestion and Identification of Proteins with LC-ESI-QTOF-MS/MS Analysis
Pieces with a diameter of 1.5 mm were picked from the middle of the spots and washed for 30 min with 400 μL of 10 mM ammonium bicarbonate/50% acetonitrile (CAN). After removing the washing solution, gel pieces were dried under vacuum. For protein digestion, 10 μL of trypsin [Promega Sequencing grade, 10 ng·mL−1 in 5 mM ammonium bicarbonate/5 % ACN (w/v)] were added and incubated for 5 hrs at 37°C. Reaction was stopped by adding 2 μL of 1% TFA. For identification 2 or 3 μL of tryptic digest was subjected to nanoscale reversed-phase LC analysis on a nanoAcquity UPLC system (Waters Corporation, Eschborn, Germany). A 20 mm × 180 μm Symmetry 5 μm column was used for concentration and desalting of the digested samples. The subsequent peptide elution was performed on a 100 mm × 100 μm BEH130 C18 1.7 μm column (Waters Corporation) with an acetonitrile gradient increasing from 3% to 40% in 30 min. The efflux from analytical column was directed to the NanoLockSpray source of a Q/Tof Premier hybrid orthogonal accelerated time-of-flight mass spectrometer (Waters). MS and MS/MS data were acquired in continuum mode using MassLynx 4.0 software (Waters Corporation). Data processing and database searching of de novo sequences against protein indices for Viridiplantae of the SwissProt and TrEMBL databases, as well as against a combined EST database of TIGR EST sequences from Solanaceous species was done using ProteinLynx GlobalSERVER v2.3 software (Waters Corporation). A 10 ppm peptide, 0.1 Da fragment tolerance, one missed cleavage and variable oxidation (Met) and propionamide modification (Cys) were used as the search parameters.
3.5. Derivatisation of Metabolites from Culture for GC-MS Analysis
Ten μL of filtered cell culture medium were dried in vacuo for 2 hrs at 35°C. The dried residue was redissolved and derivatized in a first step with 40 μL of methoxyamine hydrochloride (20 mg·mL−1 in pyridine) for 2 hrs at 37 °C to convert keto- and aldehyde groups. In a second step, 80 μL MSTFA was added to each sample and incubated for 30 min at 37°C. One μL of sample were injected with splitless injection method using hot-needle technique. The GC-MS system consisted of a gas chromatograph A7890 (Agilent, Böblingen, Germany), an auto sampler Twister XXL (GERSTEL, Mülheim an der Ruhr, Germany) and a TOF mass spectrometer GCT Premier (Waters Corporation). Separation was performed on a 30 m DB5ms column (Phenomenex, Aschaffenburg, Germany) with 0.25 mm inner diameter and 0.25 μm film thickness including a 5 m guard column. Injection temperature was 240°C. Temperature program for GC separation was: 3 min 80°C isothermal followed by a ramp of 5°C min−1 to 310 C for 5 min. The system was equilibrated for 3 min prior each injection. MS data were recorded with Mass Lynx 4.1 (Waters Corporation) with 10 spectra s−1 in a range of 50–650 m/z in centroid mode and using the dynamic range enhancement (DRE) modus.
Metabolites were identified automatically with internal software ChromaLynx using the NIST 5 library and interesting components were validated manually by comparison with reference spectra and with retention time of individual standards. For principle component analysis (PCA) MarkerLynx (Waters Corporation) was utilized with following settings: 20 masses per retention time were isolated at a threshold at 5% of base peak intensity. The retention time window was set between 6.5 and 37 min, and mass window was set between 100 and 850 with a mass tolerance at 0.05 Da Pareto algorithm was used for visualization of Loading and Score Plot.
3.6. HPLC Analysis of Polyamines
The culture medium was centrifuged through 0.45 μm filtration units (ULTRAFREE-MC; Millipore, Eschborn, Germany) to remove potential cell debris and stored at −20°C until further processing. Derivatisation was performed following a modified protocol of Silveira [23]. A 20 μL aliquot of medium was mixed with the equal volume of 5% (v/v) perchloric acid and added to 100 μL 18.5 mM dansyl chloride dissolved in acetone, 10 μL 0.05 mM diaminoheptane as internal standard and 50 μL saturated sodium carbonate. After incubation at 70°C for 50 min in the dark, 25 μL of 0.87 M proline was added to remove excess dansyl chloride by conversion to dansyl proline. Polyamines were extracted after 30 min with 200 μL toluene in a two phase partitioning step. To avoid carryover from the aqueous phase only 150 μL of toluene was transferred to a new reaction tube and dried under nitrogen. The residue was redissolved in 150 μL acetonitrile. Metabolite analysis was carried out on 10 μL of sample using an Alliance HPLC separations module 2690 (Waters Corporation). Fluorescence signals were acquired with a FP-920 detector (Jasco, Gotha, Germany) at 340 nm (excitation) and 510 nm (emission) with a signal gain of 100. A calibration curve from a dilution series of putrescine was applied for quantification.
4. Discussion
4.1. Secreted Proteins Related to Cell Development as well as Stress Defence
The advantage of analyzing extracellular compounds from cell culture media is that little or no contamination from intracellular fragments is found compared to other studies using xylem sap or apoplast in which also typical intracellular proteins have been detected [13,32]. In our study no typical intracellular proteins were found and analysis of proteins for signal peptides revealed a classical secretory pathway for most of identified proteins. The comparison of intra- and extracellular protein pattern showed only a minor overlap of spots (spots #58 and 59), but with a significant higher abundance of proteins in the extracellular fraction. These results and the high cell viability, indicate that there is neglectable contamination of the culture medium with intracellular proteins. In accordance, enzyme tests from earlier studies with the same suspension culture showed only minor enzyme activity of the intracellular malate dehydrogenase [15]. Most gene products found in the medium were cell wall modification proteins. Among this, the protein 1,4-β-xylosidase was dominating and found in multiple spots. As already mentioned in the Results section, the identification relied on different ID’s from several organisms including identification of one EST-clone from Nicotiana (TC13056), which indicates related polypeptides for tobacco not included in the protein databases so far. Furthermore, different α-galactosidase polypeptides were identified which are supposed to be responsible for cell wall modification like elongation [33].
The multiple spot abundance of 1,4-β-xylosidase, and others, could be regulated by differential gene expression of isoforms and/or posttranslational modifications, such as glycosylation and phosphorylation and has to be determined. Glycosylation is well known from literature for extracellular proteins, which showed a high rate in most cases especially for xylosidases and galactosidases [19]. Phosphorylation on the other hand is a key regulator mechanism for many signal transduction pathways, e.g. important for the induction of defence response in elicitor induced Zea Mays extracellular matrix proteome [34]. The same modifications could also play a role in non treated cell cultures in stress response or in senescence [35]. Besides, the abundance of a subtilisin like protease from N. tabacum suggested that further protein degradation is existent to decrease the abundance, and those the activity of these enzymes.
Other polypeptides detected in culture medium were related to stress defence or pathogen attack. The two acidic endochitinases P & Q identified in the medium belong to class III chitinases. Both have been known for several years [36] and are classified as PR-3 family proteins. A third chitinase was identified related to a sequence entry from M. charantia. This protein was identified by a unique peptide with a sequence not found in the other two isoforms. This result indicated a further putative isoform from tobacco, without an entry in the tobacco sequence database. Chitinases can be expressed constitutively in healthy plants. The class III chitinase transcripts for example are constitutively present in vascular bundles or guard cells of Cucumis sativus and Arabidopsis thaliana [37], and additionally switched on by infection with a compatible pathogen in tissues around necrotic lesions [37]. Moreover, their regulation seems to be also controlled by hormonal feedback control, as the presence of auxin and cytokinin in Nicotinana sp. represses the class I chitinase genes but does not repress class III genes [38]. Chitinases were reported to have function in cell development and growth, and participate in the cell elongation process [39], as well as in somatic embryogenesis, in line with the complex regulatory pattern observed [40]. Hence, a distinct function of chitinases in our suspension culture system can not be attributed so far. The high abundance of these enzymes however is consistent with wounding and stress responses in the suspension culture but also with a high growth rate of the cell culture.
All the identified peroxidase proteins belong to the class III peroxidases [41] (http://peroxidase.isb-sib.ch). For spot #11 an EST-clone from Nicotiana showed a corresponding peptide sequence, but the protein is not found in a protein database suggesting a novel peroxidase isoform in tobacco which needs to be further investigated. However, peroxidases found in the medium are already annotated to numerous functions e.g. to remove H2O2, biosynthesis and degradation of lignin, suberization, auxin catabolism, as well as response to environmental stresses such as wounding, pathogen attack and oxidative stress. All together, the function of identified peroxidases could be dependent on specific isoforms. The most abundant spots #55, 58 out of 2-DE were identified as pathogenesis related 1 (PR-1) protein. Although the function of this protein is still unknown, the strong abundance is a clear indication for stress response.
Summarized our results from protein analysis of S2LS3 cell suspension culture medium revealed a strong stress activated response, although no elicitor treatment was used. All identified proteins belong to pathogenesis related protein families closely involved in the so called systemic acquired resistance mechanism. Many of them also play an important role in cell wall formation and restructuring. Both processes are linked to each other, because after wounding, cell wall modification is initialized. The stimulus for the observed protein patterns related to wounding could be the constant shaking of the cell culture, necessary to sustain oxygen supply.
4.2. Secreted Metabolites
Secreted metabolites found in the apoplast or suspension culture medium fulfil different functions. They play an important role in energy transport (e.g. sugars), signalling, cell development and/or stress defence mechanisms. Many primary and secondary metabolites, which show a stress induction in plant cell cultures, were identified over the last decades mainly during investigation of biosynthetic pathway or stress defence networks [42]. In this study we analyzed medium of tobacco suspension cultures in an un-targeted way without initial concentration of specific classes of molecules. As expected, the concentration of supplemented sucrose as well as of its constituents glucose and fructose decreased, being the carbon source for cell growth. Interestingly both monosaccharides were already present in culture medium before inoculation, as measured by GC-MS and confirmed with an enzymatic test (data not shown), which indicates degradation of sucrose during sterilizing the media by autoclaving. However, the amount of other sugar compounds like galactose was found to increase with time. This confirms the results from protein analysis in which glycosidases were identified. The sugars found in medium could be products from their enzymatic activity.
Furthermore, inositol as another constituent of the medium was only found to day 3 after inoculation. In eukaryotes, phosphoinositides are essential metabolites as well as effective messengers that regulate and coordinate cell growth. In fact, they have been shown to induce Ca2+ oscillations, to affect membrane biogenesis, cytoskeletal structure, ion transport, and RNA synthesis and transport. Due to their influence in so many cellular processes temporal shifts in phospho-inositol metabolism are known to occur with growth and development [43].
A remarkable increase during cultivation time was observed for the polyamine putrescine. We confirmed the GC-MS analyses in a targeted approach. Polyamines (PAs) are polycations ubiquitous in prokaryotic and eukaryotic cells and are essential for cell growth, proliferation and differentiation [44]. It was also referred that polyamines play an important role in abiotic or biotic stress response [45,46] and are involved in the hypersensitive reaction [47]. Although the exact mechanisms of many of these processes are unclear, it is well known that PA binds to negatively charged molecules like nucleic acids, acidic phospholipids or proteins [48]. Polyamines are a source for hydrogen peroxide as well [47,49]. The involvement into many cellular processes makes it difficult to attribute the excreted putrescine to a specific function. Lignification of cell wall needs a radical-radical coupling and precursors are formed from peroxidase or laccase of which the latter enzyme needs oxygen [50]. When cells reach a certain density their oxygen supply becomes limiting [51]. This indicates the demand of peroxidase activities for lignification and as already mentioned peroxidases need hydrogen peroxide for their enzymatic activity. How H2O2 is generated in cell walls is still a matter of debate. However, in Arabidopsis tracheary elements, an amine oxidase that produces H2O2 by oxidizing putrescine has been co-localized with lignin staining and peroxidase activity [30]. In our study, putrescine showed a strong correlation with cell culture growth, indicative to its connection with cell division and proliferation wherefore cell wall biosynthesis and lignification is needed. On the other hand the suspension culture is constitutively stressed as discussed above. As already mentioned, putrescine is a major source for H2O2 involved in cell death and early stress defence or rather hypersensitive reaction (HR) [49]. Therefore, the H2O2 built out of putrescine could also provoke additional stress to the tobacco cell culture.
5. Conclusions
Our results clearly demonstrate that also non stress induced suspension cultures excrete a high number of metabolites and proteins which concertedly affect stress defence mechanisms and cell structure modifications. Among identified proteins β-1,4-xylosidase was found in many spots indicating high level of posttranslational modification and protein degradation in cell culture media. Furthermore, putative new isoforms are predicted from peptide sequences of mass spectrometry analysis for chitinase, peroxidase and β-1,4-xylosidase, not described in tobacco yet. Potential functional differences for various isoforms of those proteins in the apoplast need to be evaluated in further studies. On metabolite level, a dominate putrescine accumulation in the medium was detected after 3 days which further increased with time in correlation with cell culture growth. These results suggest that, putrescine may be a critical component for cell division and proliferation. Thus, we could show that S2LS3 tobacco cell suspension culture is an excellent model system to investigate extracellular proteins and metabolites related to stress defence and cell development.
Table S1.
Identity | Specific ion (m/z) | RT [min] | RI | RI Golm DB | Nist Matc h | Rev. Nist Match | Peak area 1d ± STD | Peak area 3d ± STD | Peak area 5d ± STD | Peak area 7d ± STD |
---|---|---|---|---|---|---|---|---|---|---|
Lactic acid 2TMS | 190,99 | 6,58 | 1010 | 1051 | 883 | 884 | 492±124 | 606±218 | 726±188 | 667±66 |
Benzoic acid TMS | 105,03 | 11,03 | 1244 | 1253 | 789 | 851 | n.d | 12±2 | 11±2 | 10±1 |
Galactose methoxyamine 5TMS | 117,07 | 22,34 | 1714 | 1721 | 723 | 744 | 7±3 | 48±11 | 124±22 | 131±14 |
Putrescine 4TMS | 174,11 | 22,68 | 1729 | 1745 | 894 | 895 | 20±9 | 9±2 | 369±80 | 492±115 |
Unknown sugar 1 | 217,07 | 23,31 | 1758 | n.i. | n.i. | n.i. | 246±77 | 272±73 | 191±38 | 93±10 |
Fructose methoxyamine 5TMS | 364,00 | 25,62 | 1870 | 1865 | 873 | 874 | 1200±175 | 1440±249 | 1306±210 | 410±84 |
Fructose methoxyamine 5TMS 2 | 364,18 | 25,82 | 1880 | 1774 | 878 | 880 | 959±104 | 1142±200 | 286±30 | 360±70 |
Glucose methoxyamine 5TMS | 364,18 | 26,07 | 1893 | 1888 | 908 | 923 | 455±65 | 286±30 | 151±9 | 19±3 |
Glucose methoxyamine 5TMS 2 | 364,18 | 26,39 | 1908 | 1910 | 828 | 918 | 11±1 | 10±2 | 2±0.5 | n.d. |
Unknown sugar 2 | 205,10 | 26,57 | 1917 | n.i. | n.i. | n.i. | 137±46 | 120±33 | 41±11 | 25±3 |
Unknown sugar 3 | 147,10 | 26,72 | 1924 | n.i. | n.i. | n.i. | n.d | n.d | n.d | 14±3 |
Inositol 6TMS | 317,97 | 29,69 | 2082 | 2091 | 914 | 944 | 1380±260 | 4±1 | n.d. | n.d. |
Sucrose methoxyamine 8TMS | 361,15 | 38,66 | 2636 | 2640 | 760 | 767 | saturated | saturated | saturated | saturated |
Acknowledgments
Financial support by the BMBF (FKZ 0315047A) and the European Plant Proteomics initiative (COST Action, FA0603) is gratefully acknowledged. We thank Annegret Wolf for her excellent technical assistance.
References and Notes
- 1.Oksman-Caldentey KM, Inze D. Plant cell factories in the post-genomic era: New ways to produce designer secondary metabolites. Trends Plant Sci. 2004;9:433–440. doi: 10.1016/j.tplants.2004.07.006. [DOI] [PubMed] [Google Scholar]
- 2.Yeoman MM, Yeoman CL. Tansley review no 90 - Manipulating secondary metabolism in cultured plant cells. New Phytol. 1996;134:553–569. doi: 10.1111/j.1469-8137.1996.tb04921.x. [DOI] [PubMed] [Google Scholar]
- 3.Dias AP, Grotewold E. Manipulating the accumulation of phenolics in maize cultured cells using transcription factors. Biochem. Eng. J. 2003;14:207–216. [Google Scholar]
- 4.Frick S, Kutchan TM. Molecular cloning and functional expression of O-methyltransferases common to isoquinoline alkaloid and phenylpropanoid biosynthesis. Plant J. 1999;17:329–339. doi: 10.1046/j.1365-313x.1999.00379.x. [DOI] [PubMed] [Google Scholar]
- 5.Arigoni D, Sagner S, Latzel C, Eisenreich W, Bacher A, Zenk MH. Terpenoid biosynthesis from 1-deoxy-D-xylulose in higher plants by intramolecular skeletal rearrangement. Proc. Natl. Acad. Sci. USA. 1997;94:10600–10605. doi: 10.1073/pnas.94.20.10600. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Broeckling CD, Huhman DV, Farag MA, Smith JT, May GD, Mendes P, Dixon RA, Sumner LW. Metabolic profiling of Medicago truncatula cell cultures reveals the effects of biotic and abiotic elicitors on metabolism. J. Exp. Bot. 2005;56:323–336. doi: 10.1093/jxb/eri058. [DOI] [PubMed] [Google Scholar]
- 7.Suzuki H, Reddy MSS, Naoumkina M, Aziz N, May GD, Huhman DV, Sumner LW, Blount JW, Mendes P, Dixon RA. Methyl jasmonate and yeast elicitor induce differential transcriptional and metabolic re-programming in cell suspension cultures of the model legume Medicago truncatula. Planta. 2005;220:696–707. doi: 10.1007/s00425-004-1387-2. [DOI] [PubMed] [Google Scholar]
- 8.Sarry JE, Kuhn L, Ducruix C, Lafaye A, Junot C, Hugouvieux V, Jourdain A, Bastien O, Fievet JB, Vailhen D, Amekraz B, Moulin C, Ezan E, Garin J, Bourguignon J. The early responses of Arabidopsis thaliana cells to cadmium exposure explored by protein and metabolite profiling analyses. Proteomics. 2006;6:2180–2198. doi: 10.1002/pmic.200500543. [DOI] [PubMed] [Google Scholar]
- 9.Kim JK, Bamba T, Harada K, Fukusaki E, Kobayashi A. Time-course metabolic profiling in Arabidopsis thaliana cell cultures after salt stress treatment. J. Exp. Bot. 2007;58:415–424. doi: 10.1093/jxb/erl216. [DOI] [PubMed] [Google Scholar]
- 10.Lei Z, Elmer AM, Watson BS, Dixon RA, Mendes PJ, Sumner LW. A two-dimensional electrophoresis proteomic reference map and systematic identification of 1367 proteins from a cell suspension culture of the model legume Medicago truncatula. Mol. Cell Proteomics. 2005;4:1812–1825. doi: 10.1074/mcp.D500005-MCP200. [DOI] [PubMed] [Google Scholar]
- 11.Tran HT, Plaxton WC. Proteomic analysis of alterations in the secretome of Arabidopsis thaliana suspension cells subjected to nutritional phosphate deficiency. Proteomics. 2008;8:4317–4326. doi: 10.1002/pmic.200800292. [DOI] [PubMed] [Google Scholar]
- 12.Okushima Y, Koizumi N, Kusano T, Sano H. Secreted proteins of tobacco cultured BY2 cells: identification of a new member of pathogenesis-related proteins. Plant Mol. Biol. 2000;42:479–488. doi: 10.1023/a:1006393326985. [DOI] [PubMed] [Google Scholar]
- 13.Dani V, Simon WJ, Duranti M, Croy RRD. Changes in the tobacco leaf apoplast proteome in response to salt stress. Proteomics. 2005;5:737–745. doi: 10.1002/pmic.200401119. [DOI] [PubMed] [Google Scholar]
- 14.Sakurai N. Dynamic function and regulation of apoplast in the plant body. J. Plant Res. 1998;111:133–148. [Google Scholar]
- 15.Kunze I, Kunze G, Broker M, Manteuffel R, Meins F, Muntz K. Evidence for secretion of vacuolar alpha-mannosidase, class I chitinase, and class I beta-1,3-glucanase in suspension cultures of tobacco cells. Planta. 1998;205:92–99. doi: 10.1007/s004250050300. [DOI] [PubMed] [Google Scholar]
- 16.Oh IS, Park AR, Bae MS, Kwon SJ, Kim YS, Lee JE, Kang NY, Lee SM, Cheong H, Park OK. Secretome analysis reveals an Arabidopsis lipase involved in defense against Alternaria brassicicola. Plant Cell. 2005;17:2832–2847. doi: 10.1105/tpc.105.034819. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kauss H, Jeblick W, Ziegler J, Krabler W. Pretreatment of Parsley (Petroselinum-Crispum L.) Suspension-Cultures with Methyl Jasmonate Enhances Elicitation of Activated Oxygen Species. Plant Physiol. 1994;105:89–94. doi: 10.1104/pp.105.1.89. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Berlin J, Mollenschott C, Wray V. Triggered Efflux of Protoberberine Alkaloids from Cell-Suspension Cultures of Thalictrum-Rugosum. Biotechnol. Lett. 1988;10:193–198. [Google Scholar]
- 19.Kwon HK, Yokoyama R, Nishitani K. A proteomic approach to apoplastic proteins involved in cell wall regeneration in protoplasts of Arabidopsis suspension-cultured cells. Plant Cell Physiol. 2005;46:843–857. doi: 10.1093/pcp/pci089. [DOI] [PubMed] [Google Scholar]
- 20.van Loon LC, van Strien EA. The families of pathogenesis-related proteins, their activities, and comparative analysis of PR-1 type proteins. Physiol. Mol. Plant Pathol. 1999;55:85–97. [Google Scholar]
- 21.Hall RD. Plant metabolomics: from holistic hope, to hype, to hot topic. New Phytol. 2006;169:453–468. doi: 10.1111/j.1469-8137.2005.01632.x. [DOI] [PubMed] [Google Scholar]
- 22.Cvikrova M, Gemperlova L, Eder J, Zazimalova E. Excretion of polyamines in alfalfa and tobacco suspension-cultured cells and its possible role in maintenance of intracellular polyamine contents. Plant Cell Rep. 2008;27:1147–1156. doi: 10.1007/s00299-008-0538-5. [DOI] [PubMed] [Google Scholar]
- 23.Silveira V, Floh EIS, Handro W, Guerra MP. Effect of plant growth regulators on the cellular growth and levels of intracellular protein, starch and polyamines in embryogenic suspension cultures of Pinus taeda. Plant Cell Tissue Organ Cult. 2004;76:53–60. [Google Scholar]
- 24.Slocum RD, Flores HE, Galston AW, Weinstein LH. Improved Method for Hplc Analysis of Polyamines, Agmatine and Aromatic Monoamines in Plant-Tissue. Plant Physiol. 1989;89:512–517. doi: 10.1104/pp.89.2.512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Maliga P, Szbrezno A, Marton L. Streptomycin-Resistant Plants from Callus Culture of Haploid Tobacco. Nature New Biol. 1973;244:29–30. doi: 10.1038/newbio244029a0. [DOI] [PubMed] [Google Scholar]
- 26.Linsmaier EM, Skoog F. Organic Growth Factor Requirements of Tobacco Tissue Cultures. Physiol. Plant. 1965;18:100–127. [Google Scholar]
- 27.Widholm JM. Use of Fluorescein Diacetate and Phenosafranine for Determining Viability of Cultured Plant-Cells. Stain Technol. 1972;47:189–194. doi: 10.3109/10520297209116483. [DOI] [PubMed] [Google Scholar]
- 28.Huang CN, Cornejo MJ, Bush DS, Jones RL. Estimating Viability of Plant-Protoplasts Using Double and Single Staining. Protoplasma. 1986;135:80–87. [Google Scholar]
- 29.Bradford MM. Rapid and Sensitive Method for Quantitation of Microgram Quantities of Protein Utilizing Principle of Protein-Dye Binding. Anal. Biochem. 1976;72:248–254. doi: 10.1006/abio.1976.9999. [DOI] [PubMed] [Google Scholar]
- 30.Wessel D, Flugge UI. A Method for the Quantitative Recovery of Protein in Dilute-Solution in the Presence of Detergents and Lipids. Anal. Biochem. 1984;138:141–143. doi: 10.1016/0003-2697(84)90782-6. [DOI] [PubMed] [Google Scholar]
- 31.Amme S, Rutten T, Melzer M, Sonsmann G, Vissers JPC, Schlesier B, Mock HP. A proteome approach defines protective functions of tobacco leaf trichomes. Proteomics. 2005;5:2508–2518. doi: 10.1002/pmic.200401274. [DOI] [PubMed] [Google Scholar]
- 32.Wen FS, VanEtten HD, Tsaprailis G, Hawes MC. Extracellular proteins in pea root tip and border cell exudates. Plant Physiol. 2007;143:773–783. doi: 10.1104/pp.106.091637. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Masuda H, Ozeki Y, Amino S, Komamine A. Changes in the Activities of Various Glycosidases during Carrot Cell Elongation in a 2,4-D-Free Medium. Plant Cell Physiol. 1985;26:995–1001. [Google Scholar]
- 34.Chivasa S, Simon WJ, Yu XL, Yalpani N, Slabas AR. Pathogen elicitor-induced changes in the maize extracellular matrix proteome. Proteomics. 2005;5:4894–4904. doi: 10.1002/pmic.200500047. [DOI] [PubMed] [Google Scholar]
- 35.Shih YW, Chou WC, Lin YM, Huang DD, Liu ZH, Huang HJ. Changes in protein tyrosine phosphorylation during mannose and senescence induced cell death in rice. Plant Growth Regul. 2004;42:271–282. [Google Scholar]
- 36.Payne G, Ahl P, Moyer M, Harper A, Beck J, Meins F, Ryals J. Isolation of Complementary-DNA Clones Encoding Pathogenesis-Related Protein-P and Protein-Q, 2 Acidic Chitinases from Tobacco. Proc. Natl. Acad. Sci. USA. 1990;87:98–102. doi: 10.1073/pnas.87.1.98. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Kasprzewska A. Plant chitinases - Regulation and function. Cell. Mol. Biol. Lett. 2003;8:809–824. [PubMed] [Google Scholar]
- 38.Vanbuuren M, Neuhaus JM, Shinshi H, Ryals J, Meins F. The Structure and Regulation of Homeologous Tobacco Endochitinase Genes of Nicotiana-Sylvestris and N-Tomentosiformis Origin. Mol. Gen. Genet. 1992;232:460–469. doi: 10.1007/BF00266251. [DOI] [PubMed] [Google Scholar]
- 39.Zhong RQ, Kays SJ, Schroeder BP, Ye ZH. Mutation of a chitinase-like gene causes ectopic deposition of lignin, aberrant cell shapes, and overproduction of ethylene. Plant Cell. 2002;14:165–179. doi: 10.1105/tpc.010278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.van Hengel AJ, Tadesse Z, Immerzeel P, Schols H, van Kammen A, de Vries SC. N-acetylglucosamine and glucosamine-containing arabinogalactan proteins control somatic embryogenesis. Plant Physiol. 2001;125:1880–1890. doi: 10.1104/pp.125.4.1880. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Bakalovic N, Passardi F, Ioannidis V, Cosio C, Penel C, Falquet L, Dunand C. PeroxiBase: A class III plant peroxidase database. Phytochemistry. 2006;67:534–539. doi: 10.1016/j.phytochem.2005.12.020. [DOI] [PubMed] [Google Scholar]
- 42.Goossens A, Hakkinen ST, Laakso I, Oksman-Caldentey KM, Inze D. Secretion of secondary metabolites by ATP-binding cassette transporters in plant cell suspension cultures. Plant Physiol. 2003;131:1161–1164. doi: 10.1104/pp.102.016329. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Stevenson JM, Pepera IY, Heilmann I, Persson S, Boss WF. Inositol signaling and plant growth. Trends Plant Sci. 2000;5:252–258. doi: 10.1016/s1360-1385(00)01652-6. [DOI] [PubMed] [Google Scholar]
- 44.Kusano T, Berberich T, Tateda C, Takahashi Y. Polyamines: essential factors for growth and survival. Planta. 2008;228:367–381. doi: 10.1007/s00425-008-0772-7. [DOI] [PubMed] [Google Scholar]
- 45.Walters DR. Polyamines and plant disease. Phytochemistry. 2003;64:97–107. doi: 10.1016/s0031-9422(03)00329-7. [DOI] [PubMed] [Google Scholar]
- 46.Bouchereau A, Aziz A, Larher F, Martin-Tanguy J. Polyamines and environmental challenges: Recent development. Plant Sci. 1999;140:103–125. [Google Scholar]
- 47.Yoda H, Fujimura K, Takahashi H, Munemura I, Uchimiya H, Sano H. Polyamines as a common source of hydrogen peroxide in host- and nonhost hypersensitive response during pathogen infection. Plant Mol. Biol. 2009;70:103–112. doi: 10.1007/s11103-009-9459-0. [DOI] [PubMed] [Google Scholar]
- 48.Marina M, Maiale SJ, Rossi FR, Romero MF, Rivas EI, Garriz A, Ruiz OA, Pieckenstain FL. Apoplastic polyamine oxidation plays different roles in local responses of tobacco to infection by the necrotrophic fungus Sclerotinia sclerotiorum and the biotrophic bacterium Pseudomonas viridiflava. Plant Physiol. 2008;147:2164–2178. doi: 10.1104/pp.108.122614. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Yoda H, Yamaguchi Y, Sano H. Induction of hypersensitive cell death by hydrogen peroxide produced through polyamine degradation in tobacco plants. Plant Physiol. 2003;132:1973–1981. doi: 10.1104/pp.103.024737. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Boerjan W, Ralph J, Baucher M. Lignin biosynthesis. Annu. Rev. Plant Biol. 2003;54:519–546. doi: 10.1146/annurev.arplant.54.031902.134938. [DOI] [PubMed] [Google Scholar]
- 51.Wink M. The Cell-Culture Medium - A Functional Extracellular Compartment of Suspension-Cultured Cells. Plant Cell Tissue Organ Cult. 1994;38:307–319. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Table S1.
Identity | Specific ion (m/z) | RT [min] | RI | RI Golm DB | Nist Matc h | Rev. Nist Match | Peak area 1d ± STD | Peak area 3d ± STD | Peak area 5d ± STD | Peak area 7d ± STD |
---|---|---|---|---|---|---|---|---|---|---|
Lactic acid 2TMS | 190,99 | 6,58 | 1010 | 1051 | 883 | 884 | 492±124 | 606±218 | 726±188 | 667±66 |
Benzoic acid TMS | 105,03 | 11,03 | 1244 | 1253 | 789 | 851 | n.d | 12±2 | 11±2 | 10±1 |
Galactose methoxyamine 5TMS | 117,07 | 22,34 | 1714 | 1721 | 723 | 744 | 7±3 | 48±11 | 124±22 | 131±14 |
Putrescine 4TMS | 174,11 | 22,68 | 1729 | 1745 | 894 | 895 | 20±9 | 9±2 | 369±80 | 492±115 |
Unknown sugar 1 | 217,07 | 23,31 | 1758 | n.i. | n.i. | n.i. | 246±77 | 272±73 | 191±38 | 93±10 |
Fructose methoxyamine 5TMS | 364,00 | 25,62 | 1870 | 1865 | 873 | 874 | 1200±175 | 1440±249 | 1306±210 | 410±84 |
Fructose methoxyamine 5TMS 2 | 364,18 | 25,82 | 1880 | 1774 | 878 | 880 | 959±104 | 1142±200 | 286±30 | 360±70 |
Glucose methoxyamine 5TMS | 364,18 | 26,07 | 1893 | 1888 | 908 | 923 | 455±65 | 286±30 | 151±9 | 19±3 |
Glucose methoxyamine 5TMS 2 | 364,18 | 26,39 | 1908 | 1910 | 828 | 918 | 11±1 | 10±2 | 2±0.5 | n.d. |
Unknown sugar 2 | 205,10 | 26,57 | 1917 | n.i. | n.i. | n.i. | 137±46 | 120±33 | 41±11 | 25±3 |
Unknown sugar 3 | 147,10 | 26,72 | 1924 | n.i. | n.i. | n.i. | n.d | n.d | n.d | 14±3 |
Inositol 6TMS | 317,97 | 29,69 | 2082 | 2091 | 914 | 944 | 1380±260 | 4±1 | n.d. | n.d. |
Sucrose methoxyamine 8TMS | 361,15 | 38,66 | 2636 | 2640 | 760 | 767 | saturated | saturated | saturated | saturated |