2020-06-13T02:55:23Zhttps:/www.ncbi.nlm.nih.gov/pmc/oai/oai.cgi
oai:pubmedcentral.nih.gov:27436502009-09-15protscipmc-open
Proteome Sci Proteome Science 1477-5956 BioMed Central PMC2743650 PMC2743650 2743650 19723342 1477-5956-7-33 19723342 10.1186/1477-5956-7-33 Research Subcellular proteomic characterization of the high-temperature stress response of the cyanobacterium Spirulina platensis Hongsthong Apiradee 1 apiradee@biotec.or.th Sirijuntarut Matura 3 matura@pdti.kmutt.ac.th Yutthanasirikul Rayakorn 3 rayakorn@pdti.kmutt.ac.th Senachak Jittisak 1 jittisak@pdti.kmutt.ac.th Kurdrid Pavinee 1 pavinee@pdti.kmutt.ac.th Cheevadhanarak Supapon 2 supaponche@yahoo.com Tanticharoen Morakot 1 morakot@biotec.or.th BEC Unit, National Center for Genetic Engineering and Biotechnology, 83 Moo8, Thakham, Bangkhuntien, Bangkok 10150, Thailand School of Bioresources and Technology; King Mongkut's University of Technology Thonburi, 83 Moo8, Thakham, Bangkhuntien, Bangkok 10150, Thailand Pilot Plant Development and Training Institute; King Mongkut's University of Technology Thonburi, 83 Moo8, Thakham, Bangkhuntien, Bangkok 10150, Thailand 2009 2 9 2009 7 33 33 8 5 2009 2 9 2009 Copyright © 2009 Hongsthong et al; licensee BioMed Central Ltd. 2009 Hongsthong et al; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

The present study examined the changes in protein expression in Spirulina platensis upon exposure to high temperature, with the changes in expression analyzed at the subcellular level. In addition, the transcriptional expression level of some differentially expressed proteins, the expression pattern clustering, and the protein-protein interaction network were analyzed. The results obtained from differential expression analysis revealed up-regulation of proteins involved in two-component response systems, DNA damage and repair systems, molecular chaperones, known stress-related proteins, and proteins involved in other biological processes, such as capsule formation and unsaturated fatty acid biosynthesis. The clustering of all differentially expressed proteins in the three cellular compartments showed: (i) the majority of the proteins in all fractions were sustained tolerance proteins, suggesting the roles of these proteins in the tolerance to high temperature stress, (ii) the level of resistance proteins in the photosynthetic membrane was 2-fold higher than the level in two other fractions, correlating with the rapid inactivation of the photosynthetic system in response to high temperature. Subcellular communication among the three cellular compartments via protein-protein interactions was clearly shown by the PPI network analysis. Furthermore, this analysis also showed a connection between temperature stress and nitrogen and ammonia assimilation.

Introduction

High temperature stresses are well known to cause protein aggregation and denaturation, and in order to cope with these stress, a cellular response occurs. Proteomics research regarding cellular responses to high temperature stresses was carried out in bacteria. The majority of the differentially expressed proteins belong to the group of proteins including heat shock responsive chaperones and proteases, of which many are also induced in response to gamma irradiation and/or desiccation [1,2]. In addition to these proteins, some central metabolic proteins were also found by Fourier transform ion cyclotron resonance (FTIR) mass spectrometric proteomics analysis [2]. Thus, it was hypothesized that elevated temperature may induce a general stress response, and could lead to cross-protection against related stresses [2].

In cyanobacteria, gene regulation mediated by high temperature stresses has been studied less extensively than regulatory responses to low temperature stresses. In some cyanobacteria, such as Synechocystis, Synechococcus and Nostoc, heat shock responses have been investigated [3-5]. An alternative sigma factor (SigH) and heat-shock protein (HSP) were both significantly induced immediately following exposure to heat stress [6,7].

Since Spirulina cells are grown in outdoor ponds for mass cultivation, they are exposed to various stress conditions, including high temperature stress. During daylight hours in tropical countries, the cells are exposed to high temperatures of around 40°C. The temperature fluctuation in outdoor mass cultivation has a serious effect on biomass yield and the biochemical content of the cells. Some components of Spirulina cells have pharmaceutical benefits, such as unsaturated fatty acids. The level of unsaturated fatty acids in membrane lipids has been shown to play a critical role in response to temperature change in various organisms. Substantial evidence points to an association between fatty acid desaturation and temperature stress [8]. Due to this relationship, the molecular responses to high temperature stress of genes involved in the desaturation process have been well studied in Spirulina. Upon temperature increase from 35°C to 40°C, the level of the polyunsaturated fatty acid γ-linolenic acid (GLA) in Spirulina plantensis decreases approximately 30%, compared to the level found in cells grown at an optimal temperature (35°C) [9]. This highlights the regulation of Spirulina-Δ6 desaturase, which carries out the last step of the Spirulina desaturation process. Thus, the transcriptional levels of the three Spirulina-desaturase genes, desC, desA and desD, were examined [9].

Despite the heat shock response studies in other cyanobacteria, transcriptomic and proteomic analyses of responses to high temperature stress have not been performed in Spirulina. The lack of a complete Spirulina genome sequence hinders this relevant research. Therefore, the present study focused on the S. platensis response to a temperature upshift at the subcellular level. This analysis was performed by proteomic and transcriptomic analyses, protein clustering (based on protein expression patterns), and protein-protein interaction analysis.

Materials and methods Organisms and culture conditions

S. platensis strain C1 cultures were grown at 35°C under illumination by a 100 μEm-2s-1 fluorescent light with continuous stirring in 2 L of Zarrouk's medium [10]. The culture was grown until the optical density at 560 nm reached 0.4 (mid-log phase), and subsequently a cell sample was harvested by filtration before shifting the growth temperature (t = 0 min). The growth temperature was then immediately shifted from 35°C to 40°C and the culture was incubated for 45, 90, or 180 min before cell harvesting.

Sample preparation

The harvested cells were washed and lysed as described previously [11]. The three subcellular fractions of Spirulina were separated according to the methods described by Murata and Omata, and Hongsthong et al. [11,12]. It should be noted that the soluble fraction contained cytoplasmic and periplasmic proteins. The purity of thylakoid (TM) and plasma membrane (PM) fractions were tested by scanning absorption spectra and western blot analysis as described previously [11]. The membrane pellet was resuspended in 500 μl of dissolving buffer, containing 2 M thiourea, 8 M urea, 20 mM Tris, 30 mM DTT, 1% (v/v) IPG buffer, 0.05% (w/v) β-dodecyl maltoside, and 4% (w/v) CHAPS, prior to protein precipitation using a 2D-clean up kit (GE Healthcare Biosciences, USA). The protein pellets were then dissolved in dissolving buffer without DTT before determining protein concentrations using a 2D-Quant kit protein assay (GE Healthcare Biosciences).

Protein separation by two-dimensional differential gel electrophoresis (2D-DIGE) and protein profile analyses

The pH of the protein samples was adjusted to 8.5 and 10 μg of each sample, prepared as described above, was labeled with fluorescent dyes, according to the manufacturer's instructions (GE Healthcare Biosciences). The proteins were separated by 2D-DIGE and statistically analyzed for differential expression as described previously [13]. Protein spot picking and in-gel digestion of the proteins of interest were carried out as described [13].

To study phosphorylated proteins, 2D-PAGE using 7 cm non-linear IPG strips, pH 3-10 and 4-7 (GE Healthcare Biosciences), in the first dimension were performed. Subsequently, the second dimension was conducted as described above, followed by western blot analysis. Three independent experiments were performed.

Protein identification using MALDI-TOF mass spectrometry

After protein digestion with trypsin, peptide samples were analyzed by MALDI-TOF mass spectrometry. For protein identification, the resulting peptide mass fingerprints (PMFs) were analyzed with our in-house software tool, using the unpublished S. platensis C1 database, which was generated from in silico digestion of the S. platensis C1 completed genome sequence. The search parameters and data filtering were carried out as described in detail previously [13]. PMF identification results of a protein spot were required to be reproducible in order to consider the spot as an identified protein.

Western blot analysis

Following 2D-PAGE, detection of phosphorylated proteins was performed by western blot analysis [14]. Phosphorylations on serine, threonine, and tyrosine residues were detected separately using monoclonal antibodies raised against the designated phosphorylated amino acid residues (Santa Cruz, USA, and Assay Designs, USA). Phosvidin and trypsin inhibitor were used as positive and negative controls, respectively. An equal amount of each protein sample was separated by 2D-PAGE, as described previously, and transferred onto a nitrocellulose membrane using a semi-dry electroblotter at a constant voltage of 20 V for 30 min at room temperature. A chemiluminescent western blot detection kit, with an HRP-based system and chemiluminescent molecular weight markers, was used (Pierce, USA) according to the manufacturer's instructions.

The resulting phosphoproteome spot-maps were then matched with the 2D-DIGE spot-maps over the same pH range. Finally, the analysis of differentially expressed proteins containing phosphorylated amino acid residues was performed.

Transcriptional analysis by RT-PCR

The details of Spirulina RNA isolation were described previously [13]. The transcriptional expression levels of the genes of interest were analyzed by RT-PCR using an AccessQuick™ RT-PCR System (Promega, USA). The RT-PCR analysis was carried out according to the manufacturer's instructions. Details on primers are shown [see Additional file 1]. The densities of the RT-PCR product bands were quantified using the Image Quant TL program (GE Healthcare Biosciences). Normalization of the RT-PCR product levels was performed by comparing the density of the designated band to the density of the 16S rRNA band.

Protein clustering based on expression patterns

The protein expression dataset was validated for the input well-form of protein ratio values. The null values and those ratios that were extremely high or low, relative to the threshold value of 1e+-10, were filtered out. K-mean clustering was applied to obtain 23 profiles of the protein expression patterns. A good k-profile number was chosen by simulation, as described by Martin et al. [15].

Potential protein-protein interaction network

A protein-protein interaction (PPI) network in Spirulina was constructed on the prototype PPI database of Synechocystis from CyanoBase [16]. Prototype construction is based on a graph in which nodes and edges represent proteins and interactions, respectively. Each interaction was experimentally identified by the yeast two-hybrid system. Source nodes represent the bait proteins, and prey proteins are represented by the target nodes. Next, homologous proteins, identified by BLAST similarity searches with significant values less than 1e-10, were mapped to their best-hit Synechocystis protein nodes. Finally, differentially expressed proteins in Spirulina were mapped to their corresponding nodes. The size of each node represents the level of differential expression.

Results and Discussion

In the present study, 2D-DIGE [see fig S1, S2 and S3; Additional file 2] and mass spectrometry were employed to identify differentially expressed proteins at the subcellular level of Spirulina, in response to a temperature increase from 35°C to 40°C.

Differentially expressed proteins Up- regulated proteins

Expression profile analysis identified 38, 50 and 26 up-regulated proteins in the PM, soluble, and TM fractions, respectively. Of these, 2, 6 and 2 proteins were phosphorylated in the three respective fractions (Tables 1, 2 and 3). Further analysis showed that several of the up-regulated proteins are involved in two-component signal transduction: histidine kinase, Ser/Thr protein kinase and response regulator, including GGDEF (Gly-Gly-Asp-Glu-Phe) domains. It should be noted that a large number of these proteins were detected in the soluble fraction, suggesting the dissociation of these domains from the membrane-bound domains of the two-component systems during sample preparation. Moreover, our study showed phosphorylation of the GGDEF domain in the soluble fraction, consistent with the report by Ryjenkov et al. [17]. Phosphorylation of this domain is required for its activity. Thus, the GGDEF domains represent the output of complex bacterial signal transduction networks, which convert different signals into the production of a secondary messenger, cyclic diguanylic acid [17,18]. In addition, it has been reported that the GGDEF domain plays a critical role in heterocyst formation [19].

Significantly up-regulated proteins identified in the plasma membrane fraction after the immediate temperature upshift.

theoretical experimental
spot# orf protein name %cov pI MW (kDa) pI MW (kDa) fold* t-test cluster t
Up regulated proteins (separated by pH range 3-10 in the first dimension)
Two component systems
357 AP07650006 Two-component hybrid sensor and regulator 6.47 4.97 146.95 5.71 265.61 1.43 0.044 5
518 AP07580004 Two-component sensor histidine kinase 8.57 5.26 133.55 5.36 239.78 1.78 0.0059 23
793 AP06360005 Two component hybrid sensor and regulator 6.9 5.41 159.88 6.4 188.54 2.47 0.013 14
808 AP07880008 Two-component hybrid sensor and regulator 2.86 4.97 200.24 6.17 183.78 3.15 0.025 15
872 AP07580004 Two-component sensor histidine kinase 5.94 5.26 133.55 5.28 174.61 1.89 0.027 23
1097 AP06990006 Hybrid sensor and regulator 7.34 5.5 104.01 5.88 140.14 1.43 0.047 23
1102 AP07670017 Two-component sensor histidine kinase 6.57 4.88 124.16 4.58 139.07 1.96 0.034 23
1147 AP07670017 Two-component sensor histidine kinase 8.51 4.88 124.16 4.65 130.45 1.77 0.041 23
1241 AP07670017 Two-component sensor histidine kinase 5.92 4.88 124.16 4.48 120.51 3.49 0.019 15
1564 AP07970028 Two-component system sensory histidine kinase 6.22 4.8 108.09 4.49 90.03 1.71 0.016 23
1592 AP04840005 Serine/threonine kinase with TPR repeat 7.45 8.37 82.39 5.24 86.42 1.81 0.043 23
2406 AP07830002 Sensory box/GGDEF family protein 8.15 5.38 53.01 4.51 39.31 1.78 0.016 9
Stress related proteins
508 AP06620005 Glycosyl transferase, family 2:Glycosyl transferase, group 1 4.14 6.57 128.59 5.29 239.78 1.82 0.025 23
526 AP06740013 Ferredoxin-glutamate synthase 5.87 5.6 169.95 5.43 238.56 2.2 0.042 14
532 AP05380002 DEAD/DEAH box helicase domain protein (membrane-helicase) 5.29 6.09 239.75 5.5 236.73 2.24 0.0014 14
821 AP05300003 ATPase of the ABC class 9.74 5.46 66.65 6.63 184.25 2.18 0.0093 23
874p AP05380002 DEAD/DEAH box helicase domain protein (membrane-helicase) 4.81 6.09 239.75 5.48 175.06 1.95 0.013 23
995 AP07470001 RNA polymerase sigma-70 factor 19.07 9.81 30.04 5.56 154.44 1.76 0.024 23
1028 AP06740013 Ferredoxin-glutamate synthase 6.89 5.6 169.95 4.47 151.31 2.09 0.011 23
1029 AP08060123 Putative transcriptional regulator, LysR family 4.49 6.61 34.76 4.57 148.63 2.11 0.035 23
1277 AP05380002 DEAD/DEAH box helicase domain protein (membrane-helicase) 3.9 6.09 239.75 5.48 116.27 1.99 0.026 23
1284 AP06510003 Putative membrane carboxypeptidase 5.77 8.68 84.38 5.68 115.68 1.65 0.039 23
1388 AP06740013 Ferredoxin-glutamate synthase 4.47 5.6 169.95 7.08 105.50 2 0.023 18
2187 AP04600003 S-adenosyl-L-homocysteine hydrolase 10.27 5.63 48.77 4.52 48.24 1.57 0.037 9
DNA damage/DNA repairing system
1479 AP07790020 Type II site-specific deoxyribonuclease 5.03 6.85 35.22 6.53 97.71 3.88 0.021 15
1547 AP02010002 Restriction endonuclease 11.57 5.26 53.91 5.66 91.66 1.69 0.031 14
Proteins containing conserved motifs
422 AP07330005 TPR repeat- peptidase M, neutral zinc metallopeptidase, zinc-binding site 4.54 8.84 95.92 3.65 253.01 1.38 0.02 9
571 AP06390003 WD-40 repeat protein- transcriptional regulator, XRE family 5.52 6.2 160.34 3.48 222.64 3.11 0.048 22
943 AP07740012 TPR repeat-glycosyl transferase/capsule polysaccharide biosynthesis 2.95 5.59 103.58 5.27 161.30 1.99 0.032 14
1274 AP05550005 TPR repeat-putative prenyltransferase/glycosyl transferase 12.7 5.34 41.12 4.58 118.07 1.45 0.025 9
1817 AP06930009 TPR repeat-O-linked GlcNAc transferase 3.65 5.94 71.42 6.33 70.07 1.81 0.018 23
1983 AP05550005 TPR repeat-putative prenyltransferase/glycosyl transferase 12.7 5.34 41.12 6.35 61.19 1.8 0.013 14
2733p AP05550005 TPR repeat-putative prenyltransferase/glycosyl transferase 12.7 5.34 41.12 4.93 28.19 1.74 0.049 9
Others
611 AP06080002 Putative enzyme of poly-gamma-glutamate biosynthesis, capsule formation 5.68 5.59 72.57 5.83 221.50 1.9 0.031 14

Up regulated proteins (separated by pH range 4-7 in the first dimension)
Two component system
2386 AP01720004 Putative two-component sensor histidine kinase 6.34 5.25 57.98 5.08 53.46 2.21 0.038 18
Stress related proteins
1569 AP05860006 Putative glycosyl transferase 9.08 5.62 132.60 4.84 96.48 1.89 0.031 23
2179 AP07990044 Putative ABC transporter 6.92 8.57 88.65 5.74 62.93 2.4 0.011 14
Translation machinery
1477 AP07620038 50S ribosomal protein L4 13.81 10.04 23.34 5.08 103.76 2.81 0.02 14

* Fold represents fold change value which is volume ratio of after the temperature upshift (180 min)/before the temperature upshift. Volume ratio refers to the ratio of the normalized volumes of a pair of spots (the same spot of before and after the temperature upshift), for example, a value of 2.0 represents a two-fold increase while -2.0 represents a two-fold decrease.

p These protein spots are phosphorylated at Ser, Thr and Tyr residues, detected by western blot analysis before the temperature upshift (0 min) and after the temperature upshift (45, 90, 180 min).

t Cluster types; (i) cluster 5, 14,15,18 and 23 are sustained tolerance proteins (ii) cluster 22 is adaptation proteins and (iii) cluster 9 and 14 are undetermined-pattern proteins.

Significantly up-regulated proteins identified in the soluble fraction after the immediate temperature upshift.

theoretical experimental
spot# orf protein name %cov pI MW (kDa) pI MW (kDa) fold* t-test cluster t
Up regulated proteins (separated by pH range 3-10 in the first dimension)
Two component systems
1282 AP07350018 Hybrid sensor and regulator 4.51 5.16 157.04 9.24 125.42 5.21 0.047 22
1399 AP08000025 Two-component sensor histidine kinase 8.04 5.09 80.65 8.67 116.52 3.42 0.022 4
2377 AP07580004 Two-component sensor histidine kinase 7.38 5.26 133.55 7.69 51.45 1.51 0.012 16
2765 AP07580004 Two-component sensor histidine kinase 4.07 5.26 133.55 8.13 34.68 4.05 0.0035 4
Stress related proteins
2693 AP04260002 NADPH-dependent FMN reductase 7.48 6.53 24.75 3.37 37.83 2.98 0.039 5
Translation machinery
23 AP07220011 30S ribosomal protein S1 14.32 4.48 42.60 4.88 308.16 1.55 0.037 16
Hypothetical proteins
410 AP07020011 Conserved hypothetical protein 2.74 5.46 249.83 3.61 228.97 2.86 0.026 1
Proteins containing conserved motif
1736 AP06120011 TPR repeat-containing protein-O-linked GlcNAc transferase 5.79 4.88 72.71 3.76 91.01 1.54 0.05 16

Up regulated proteins (separated by pH range 4-7 in the first dimension)
Two component systems
599p AP03710004 Sensory box/GGDEF family protein 11.55 4.95 65.15 5.16 226.88 4.41 0.034 4
665 AP06710002 Multi-sensor signal transduction histidine kinase 5.45 5.25 116.20 5.03 220.07 1.75 0.047 6
727 AP07310007 Hybrid sensory kinase 2.82 5.34 100.91 5.13 209.99 1.87 0.039 19
735 AP06460007 Multi-sensor Hybrid Histidine Kinase 6.58 4.93 200.70 5.21 210.48 1.73 0.039 1
737 AP02950002 Putative response regulator receiver signal transduction histidine kinase 13.19 4.91 42.67 5.27 209.99 2.04 0.0073 10
788 AP08040014 Ethylene response sensor protein 6.1 4.92 120.25 5.32 203.21 5.64 0.0035 2
1072 AP04840005 Serine/threonine kinase with TPR repeat 7.03 8.37 82.39 5.92 172.45 1.57 0.026 6
1153 AP07580004 Two-component sensor histidine kinase 5.85 5.26 133.55 5.75 159.61 1.54 0.025 6
1343 AP07350018 Hybrid sensor and regulator 2.25 5.16 157.04 5.73 142.96 1.34 0.02 6
1357 AP07580004 Two-component sensor histidine kinase 2.37 5.26 133.55 4.9 139.65 3.73 0.0091 4
1377 AP07580004 Two-component sensor histidine kinase 5.51 5.26 133.55 5.21 137.37 3.29 0.022 5
1482 AP07670017 Two-component sensor histidine kinase 4.07 4.88 124.16 5.59 127.74 1.7 0.021 6
1787 AP07430015 Sensory box histidine kinase/response regulator 1.21 5.41 138.91 4.56 102.00 2.01 0.0012 19
1883p AP06710002 Multi-sensor signal transduction histidine kinase 5.74 5.25 116.20 5.94 94.40 1.48 0.021 6
2635 AP04840005 Serine/threonine kinase with TPR repeat 5.79 8.37 82.39 5.31 50.01 1.36 0.016 6
2940 AP08000025 Two-component sensor histidine kinase 4.23 5.09 80.65 5.2 38.73 1.42 0.035 6
Stress related proteins
460 AP07250004 Glycosyl transferase, family 2 1.19 5.45 236.54 5.34 248.02 2.16 0.0088 8
512p AP07620006 ABC transporter-like protein 8.96 5.5 64.24 5.3 238.33 3.11 0.01 4
613 AP07180022 Putative aldehyde dehydrogenase 12.21 6.38 29.30 5.36 226.35 4.15 0.021 4
799 AP06960005 Fe-S oxidoreductase 4.58 5.83 60.23 5.21 202.26 4.87 0.017 4
1328 AP07510011 Ribitol type dehydrogenase protein 5.1 5.53 47.30 5.96 143.97 2.11 0.013 1
1753 AP06510003 Putative membrane carboxypeptidase 3.15 8.68 84.38 5.46 105.40 2.65 0.029 1
1835 AP07620006 ABC transporter-like protein 8.96 5.5 64.24 4.76 99.17 2.22 0.00083 10
1901p AP05290001 Putative transposase 12.64 9.92 40.43 6.11 92.87 1.43 0.0093 6
Chaperones
1053 AP08040017 Chaperonin GroEL (HSP60 family) 5.73 4.89 58.72 5.61 173.26 1.5 0.0059 6
1451 AP04730007 Chaperone clpB 2 7.22 5.4 98.73 5.17 131.08 1.98 0.008 10
DNA damage/DNA reparing system
608p AP06420003 RNA-directed DNA polymerase 7.92 10.27 50.25 5.27 225.29 4.45 0.028 4
1278 AP05970008 DNA gyrase subunit A 5.69 5.16 61.11 4.97 148.42 2.47 0.0019 10
1209 AP02770002 Putative chromosome segregation ATPases 9.45 5.2 38.26 5.31 155.55 1.47 0.033 6
1789 AP06960003 Putative exonuclease SbcC 3.05 4.89 76.57 5.79 103.20 1.33 0.00039 6
1969 AP06870011 Type I restriction system endonuclease 4.07 6.4 119.09 5 88.20 1.7 0.038 19
3100 AP07900024 Restriction endonuclease 9.39 5.89 24.50 5.76 34.05 2.49 0.043 10
Translation machinery
1368 AP04960025 30S ribosomal protein S2 6.25 4.77 32.18 4.95 138.99 5.46 0.016 4
Channeling systems
1488 AP07910035 Outer membrane efflux protein 6.03 4.89 76.57 5.71 127.74 1.62 0.017 6
Hypothetical protein
520 AP07020011 Conserved hypothetical protein 1.48 5.46 249.83 4.8 235.55 1.44 0.026 6
1726 AP07780003 Conserved hypothetical protein 7.03 4.82 68.18 5.01 107.15 2.26 0.015 10
Proteins containing conserved motifs
537p AP06120011 TPR repeat-containing protein-O-linked GlcNAc transferase 5.01 4.88 72.71 5.42 234.45 1.49 0.032 19
1205 AP06120011 TPR repeat-containing protein-O-linked GlcNAc transferase 5.95 4.88 72.71 4.94 154.46 2.29 0.023 10
1212 AP06930009 TPR repeat-containing protein-O-linked GlcNAc transferase 6.66 5.94 71.42 5.38 155.55 1.5 0.0052 22
1358 AP06390003 WD-40 repeat protein-transcriptional regulator, XRE family 2.9 6.2 160.34 5.01 139.97 4.79 0.018 4
Others
840 AP06080002 Putative enzyme of poly-gamma-glutamate biosynthesis, capsule formation 8.29 5.59 72.57 5.3 199.90 3.31 0.019 4

t Cluster types; (i) cluster 1, 2, 6, 16 and 19 are sustained tolerance proteins and (ii) cluster 4, 5, 8, 10 and 22 are undetermined-pattern proteins.

Significantly up-regulated proteins identified in the thylakoid membrane fraction after the immediate temperature upshift.

theoretical experimental
spot# orf protein name %cov pI MW (kDa) pI MW (kDa) fold* t-test cluster t
Up regulated proteins (separated by pH range 3-10 in the first dimension)
Two component systems
954 AP05090011 Multi-sensor signal transduction histidine kinase 5.69 5.23 135.61 6.19 161.10 2.1 0.048 13
1011 AP07350018 Hybrid sensor and regulator 3.42 5.16 157.04 4.92 150.14 1.37 0.047 8
1707 AP06710002 Multi-sensor signal transduction histidine kinase 7.52 5.25 116.20 5.02 81.51 1.78 0.0043 22
Chaperones
912 AP07830020 Molecular chaperone DnaK 7.38 4.78 68.30 3.52 168.46 1.91 0.0078 23
Stress related proteins
571 AP07830017 Polyphosphate kinase 4.16 5.47 82.79 4.4 219.16 1.6 0.042 23
1078 AP07620006 ABC transporter-like protein 5.62 5.5 64.24 3.98 142.91 1.43 0.0079 8
1366 AP05380002 DEAD/DEAH box helicase domain protein (membrane-helicase) 2.67 6.09 239.75 4.14 111.67 1.88 0.011 23
3925 AP05940003 Transcriptional regulator, LysR family 9.86 7.11 31.25 8.37 6.19 2.66 0.012 23
DNA repairing system
684 AP04930005 N-6 DNA methylase 8.7 5.24 59.46 3.32 206.66 2.23 0.039 23
1399p AP05780004 Type I site-specific restriction-modification with related helicase system 10.55 5.97 127.07 7.33 107.30 1.59 0.022 8
Translation machinery
1634 AP07840003 30S ribosomal protein S18 28.17 10.58 8.36 4.95 87.88 1.62 0.037 8
Channeling system
1499 AP05960003 Preprotein translocase SecA subunit 6.67 5.14 105.74 5.8 98.14 1.88 0.023 22
Hypothetical proteins
564 AP07810017 Hypothetical protein 12.75 7.9 211.37 4.3 221.75 1.6 0.048 22
Proteins containing conserved motifs
1242 AP06700002 WD-40 repeat protein-peptidase C14, caspase catalytic subunit p20 4.37 5.26 183.10 4.13 122.68 1.68 0.019 23
1258 AP06390003 Pentapeptide repeat- transcriptional regulator, XRE family 10.82 6.2 160.34 5.43 121.53 1.64 0.0057 8
Others
1627 AP04100001 Glucose-inhibited division protein A 5.49 6.21 71.63 4.83 88.29 1.79 0.039 8

Up regulated proteins (separated by pH range 4-7 in the first dimension)
Two component systems
1513p AP06990006 Phytochrome-like protein 7.12 5.5 104.01 5.78 101.22 1.72 0.0076 23
1954 AP07670017 Two-component sensor histidine kinase 4.35 4.88 124.16 5.07 63.09 1.85 0.051 ud
Stress related proteins
502 AP07700024 Putative transcriptional acitvator, Baf 15.77 6.59 28.74 5.73 232.21 2.37 0.04 21
701 AP06620002 Glycosyl transferase domain containing protein 7.29 5.92 134.25 5.03 205.94 1.69 0.025 23
781 AP08030034 Aldo/keto reductase 16.02 6.22 38.85 5.08 194.92 1.88 0.046 23
879 AP06740013 Ferredoxin-glutamate synthase 2.04 5.6 169.95 4.66 184.48 2.27 0.047 23
2082 AP04600003 S-adenosyl-L-homocysteine hydrolase 14.96 5.63 48.77 5.27 54.85 2.18 0.023 23
DNA damage/DNA reparing system
163 AP03680003 Putative RNA-directed DNA polymerase (Reverse transcriptase):HNH endonuclease 8.13 9.73 56.22 5.1 293.02 3.89 0.027 6
Proteins containing conserved motif
1852 AP05550005 TPR repeat-prenyl transferase 12.7 5.34 41.12 4.75 72.40 1.89 0.0071 23
Others
452 AP07910008 Adenylate cyclase 13.72 5.59 51.10 5.42 237.50 5.53 0.032 21

ud means the protein expression pattern(s) cannot be clustered.

t Cluster types; cluster 6, 8,13, 21, 22 and 23 are sustained tolerance proteins.

Three molecular chaperones were found to be up-regulated in two subcellular fractions, GroEL (Hsp60) and ClpB in the soluble fraction and DnaK (Hsp70) in the thylakoid membrane fraction. The major molecular chaperones, such as DnaK/DnaJ, GroES/GroEL and ClpB, are involved in de novo protein folding of newly synthesized polypeptides and solubilising aggregated proteins under high temperature stress conditions [20].

Although the chaperone proteins have been generally reported to be soluble proteins, membrane-bound chaperones have been identified in many eukaryotes and prokaryotes, including cyanobacteria. This type of chaperone has been proposed to play a role in protein translocation, translational machinery associated with the surface of the thylakoid membrane, and enhancement of membrane fluidity through association with membrane lipids in response to heat stress [21].

In the case of stress related proteins, glycosyl transferase and ABC transporter were detected in all subcellular fractions, while membrane helicase, LysR and ferredoxin-glutamate synthase were found in the membrane fractions (TM and PM). Glycosyl transferase has been reported to be involved in osmo- and thermoadaptation [22].

One up-regulated membrane protein, DEAD/DEAH box helicase, is involved in RNA maturation, proof-reading and enhancement of DNA-unwinding [23]. Interestingly, the helicase present in the PM of Spirulina was phosphorylated. Phosphorylation of RNA helicase is rare, and mostly found in plants. This modification is believed to be a direct link between helicase and environmental sensing-signal transduction phosphorylation cascades [23]. To the best of our knowledge, this is the first evidence of helicase phosphorylation in cyanobacteria.

A few of the proteins involved in DNA damage, repair and modification (endonucleases and methylases) were dramatically induced in the membrane fractions upon temperature upshift. Under stress conditions where DNA damage may occur, induction of SbcC is expected. This exonuclease removes unusual DNA structures, such as hairpins, that are generated upon DNA damage [24].

In contrast to cold stress conditions in Spirulina, the significant induction of DNA gyrase upon induction of heat stress could lead to elevated function of the DNA repair system [25]. Another up-regulated protein that plays a vital role in DNA replication, repair and chromosome stability is chromosome segregation ATPase [26,27]. These results demonstrate the requirement for DNA replication, modification and repair for cell survival under heat stress conditions in this cyanobacterium.

Down-regulated proteins

Two down-regulated proteins were identified in the PM and soluble fractions, while thirteen down-regulated proteins were identified in the TM fraction (Table 4).

Significantly down-regulated proteins identified in the three subcellular fractions after the immediate temperature upshift.

theoretical experimental
spot# frac/pH range orf protein name %cov pI MW (kDa) pI MW (kDa) fold* t-test cluster t
Plasma membrane fraction
2410 PM/4-7 AP07850026 Two-component hybrid sensor and regulator 6.97 5.13 143.09 4.81 52.64 -2 0.024 4
2459 PM/4-7 AP04660005 TPR repeat-hypothetical protein 7.89 6.2 33.86 4.74 51.95 -2.18 0.024 4
Soluble fraction
1396 SOL/4-7 AP07820015 Putative WD-40 repeat protein 3.6 9.2 120.78 4.34 134.50 -1.55 0.01 18
2466 SOL/4-7 AP07540009 Two-component hybrid sensor and regulator 3.37 5.33 156.25 4.48 58.11 -1.8 0.019 8
Thylakoid membrane fraction
Two component systems
1193 TM/4-7 AP06440002 Twin-arginine translocation pathway signal 7.82 7.84 44.13 5.1 136.65 -2.12 0.051 ud
1781 TM/4-7 AP07540011 Two component response regulator 7.06 6.09 74.15 5.78 77.65 -1.54 0.028 14
2019 TM/4-7 AP06580007 Two-component hybrid sensor and regulator 6.94 4.36 127.39 5.64 58.10 -3.22 0.0092 17
Stress related proteins
1393 TM/4-7 AP07870030 Molybdopterin oxidoreductase 11.14 8.29 82.17 5.07 112.15 -2.76 0.027 10
1539 TM/4-7 AP05060006 5-methyltetrahydropteroyltriglutamate-homocysteine S-methyltransferase 9.86 5.18 87.57 6.84 100.21 -1.79 0.00015 10
DNA damage/DNA repairing system
1512 TM/3-10 AP07840004 Ribonuclease II 10.27 4.93 76.91 4.54 97.91 -1.3 0.049 14
1316 TM/4-7 AP07740021 Chromosome segregation ATPases 6.79 4.97 83.23 5.26 123.95 -1.41 0.047 1
1457 TM/4-7 AP07790019 Putative site-specific DNA-methyltransferase (cytosine-specific) 11.11 8.39 55.18 5.07 106.41 -4.43 0.0054 12
2943 TM/3-10 AP07750017 UvrD/REP helicase 4.39 5.47 121.28 7.49 18.08 -2.01 0.003 10
Proteins containing conserved motif
2219 TM/4-7 AP07230009 TPR repeat containing protein-hypothetical protein 16.61 4.72 31.94 6.44 47.21 -2.7 0.035 10
Others
1301 TM/4-7 AP06400004 Slr0554 protein. 7.41 8.54 108.70 7.11 124.89 -6.45 0.02 17
2577 TM/3-10 AP06920007 Aldehyde-alcohol dehydrogenase 13.21 5.85 54.75 7.58 30.60 -1.83 0.046 10
3572 TM/4-7 AP07900036 Delta-9 desaturase 7.78 7.27 31.41 4.71 10.69 -2.43 0.032 9

* Fold represents fold change value which is volume ratio of after the temperature upshift (180 min)/before the temperature upshift. Volume ratio refers to the ratio of the normalized volumes of a pair of spots (the same spot of before and after the temperature upshift), for example, a value of 2.0 represents a two-fold increase while -2.0 represents a two-fold decrease.

p These protein spots are phosphorylated at Ser, Thr and Tyr residues, detected by western blot analysis before the temperature upshift (0 min) and after the temperature upshift (45, 90, 180 min).

Frac/pH range and % cov represent fraction and pH range where proteins were separated in the first dimension, and %coverage, respectively.

Some of the down regulated proteins cannot be clearly visualized on the spot map shown in Additional figures.

ud means the protein expression pattern(s) cannot be clustered.

t Cluster types; (i) in PM fraction, cluster 4 is undetermined-pattern proteins, (ii) in SOL fraction, cluster 18 is sustained tolerance proteins and cluster 8 is undetermined-pattern proteins and (iii) in TM fraction, cluster 12 is resistance proteins, cluster 1, 10, and 17 are adaptation proteins, and cluster 9 and 14 are sustained tolerance proteins.

UvrD/REP helicase plays a critical role in DNA repair by restarting stalled replication forks. It facilitates this process by displacing the RecA protein from DNA [28]. The UvrD/REP helicase is known to be part of the SOS response induced by ultraviolet light (UV), which induces DNA lesions [29]. The down-regulation of this protein suggests that the DNA damage caused by exposure to heat stress can be rescued by a different DNA repair system than the SOS response.

Finally, the level of Δ9-desaturase was decreased upon high temperature stress in the photosynthetic membrane of Spirulina. This enzyme catalyses the first step of the fatty acid desaturation process in the TM and PM of this cyanobacterium. We observed that the mRNA stability of this gene decreased dramatically in response to high temperature stress [see fig S4; Additional file 2]. Therefore, the reduction in the level of enzyme is likely caused by the decrease in mRNA stability.

Transcriptional analysis of some differentially expressed proteins

RT-PCR was used to analyze the transcriptional expression levels of some differentially expressed proteins (Fig. 1, 2, 3, 4, 5, 6, 7, 8, 9 and 10) [see fig S5; Additional file 2]. The transcriptional expression patterns of DNA gyrase and chromosome segregation ATPase from the soluble fraction, and ABC transporter, S-adenosyl-L-homocysteine hydrolase and Δ9 desaturase from the thylakoid membrane were well correlated with the protein expression patterns. This correlation suggests that these proteins are likely regulated at the transcriptional level. Interestingly, the Δ9 desaturase gene, the first gene in the fatty acid desaturation process of Spirulina, was previously reported to be temperature-independent [9]. However, an earlier study by our group using Northern blot analysis [see fig S4; Additional file 2] demonstrates that this gene is indeed temperature-dependent, in agreement with the results obtained in the present study.

RT-PCR analysis of the transcriptional level of a differentially expressed protein, AP03710004 - Sensory box/GGDEF family protein (spot no. 599_Sol). (Note: Some of the standard deviation values are too small to be seen as error bars.)

RT-PCR analysis of the transcriptional level of a differentially expressed protein, AP06420003 - RNA-directed DNA polymerase (spot no. 608_Sol). (Note: Some of the standard deviation values are too small to be seen as error bars.)

RT-PCR analysis of the transcriptional level of a differentially expressed protein, AP05970008 - DNA gyrase subunit A (spot no. 1278_Sol). (Note: Some of the standard deviation values are too small to be seen as error bars.)

RT-PCR analysis of the transcriptional level of a differentially expressed protein, AP02770002 - Putative chromosome segregation ATPase (spot no. 1209_Sol). (Note: Some of the standard deviation values are too small to be seen as error bars.)

RT-PCR analysis of the transcriptional level of a differentially expressed protein, AP07830020 - Molecular chaperone DnaK (spot no. 912_TM). (Note: Some of the standard deviation values are too small to be seen as error bars.)

RT-PCR analysis of the transcriptional level of a differentially expressed protein, AP07620006 - ABC transporter (spot no. 1078_TM). (Note: Some of the standard deviation values are too small to be seen as error bars.)

RT-PCR analysis of the transcriptional level of a differentially expressed protein, AP04930005 - N-6 DNA methylase (spot no. 684_TM). (Note: Some of the standard deviation values are too small to be seen as error bars.)

RT-PCR analysis of the transcriptional level of a differentially expressed protein, AP04600003 - S-adenosyl-L-homocysteine hydrolase (spot no. 2082_TM). (Note: Some of the standard deviation values are too small to be seen as error bars.)

RT-PCR analysis of the transcriptional level of a differentially expressed protein, AP07910008 - Adenylate cyclase (spot no. 452_TM). (Note: Some of the standard deviation values are too small to be seen as error bars.)

RT-PCR analysis of the transcriptional level of a differentially expressed protein, AP07900036 - Δ9 desaturase (spot no. 3572_TM). (Note: Some of the standard deviation values are too small to be seen as error bars.)

The transcriptional patterns of sensory box/GGDEF and RNA-directed DNA polymerase, both from the soluble fraction, were different than their protein expression patterns. The transcripts of these genes increased throughout the experimental time period (3 hours), while their protein levels initially increased, followed by reduction to steady state protein levels. Importantly, phosphorylation was detected on both of these proteins. This suggests that the post-translational modification might play a role in the function of these proteins in response to the high temperature stress.

In the thylakoid membrane fraction, the transcription patterns of DnaK and N-6 DNA methylase (adenine specific) were not well correlated with their protein expression patterns, and phosphorylation was not detected for these proteins. These results suggest that these proteins might be regulated at either the post-transcriptional level or the post-translational level (except phosphorylation), although further investigation will be required to confirm this hypothesis. There are some interesting facts related to these three proteins in the photosynthetic membrane of Spirulina. It has been reported that the N-6 DNA methylase uses S-adenosyl-methionine as a methyl-donor for its DNA-methylation reaction in plants [30]. It should be noted that the S-adenosyl-L-homocysteine hydrolase, the enzyme responsible for regeneration of S-adenosyl-methionine [31,32], was also up-regulated in the same fraction.

In Synechococcus sp. PCC7942, photosystem II (PSII) is drastically deactivated at 40°C [33]. The chaperone DnaK (Hsp70) is present in plant-chloroplast as a component of multi-chaperone complex [34] and plays a critical role in photoprotection and repair of PSII during and after photoinhibition [35,36]. Thus, it is expected that this chaperone was up-regulated in response to the high temperature stress in Spirulina, although its regulation should be further investigated.

Adenylate cyclase, which is known to localize in the thylakoid membrane of cyanobacteria, plays a key role in cAMP biosynthesis [37]. The level of cAMP is regulated by red/far red light and thus adenylate cyclase works in association with phytochrome [37], an up-regulated protein found in Spirulina-TM. These proteins are part of the cAMP-dependent light signaling cascade. Adenylate cyclase has also been reported to be regulated at the post-translational level by ligand binding, protein binding and phosphorylation [37]. Together, our results demonstrate the association between high temperature response and the light signaling cascade.

Clustering of protein expression patterns

The proteins with significantly differential expression in each subcellular fraction were clustered, based on their expression patterns [see fig S6; Additional file 2]. According to Lacerda et al., the expression patterns in response to stress can be classified into three major groups: resistance, adaptation and sustained tolerance [38]. The results shown in Fig. 11, 12 and 13 demonstrate that the majority of proteins in every subcellular fraction belong to the sustained tolerance expression pattern. If all differentially expressed proteins are set as 100%, the percentages of the resistance, adaptation and sustained tolerance groups are: (i) 7%, 3% and 46% in the PM fraction, (ii) 9%, 10%, 46% in the soluble fraction and (iii) 18%, 12% and 58% in the TM fraction, respectively. It should be noted that some patterns do not fit into any categories, and these patterns were mostly found in the PM fraction. Moreover, the plasma membrane, where the environmental changes are first encountered, is the only site where the resistance proteins are present at a significantly higher level than the adaptation proteins.

Pie charts representing percentage of each protein cluster classified by the expression pattern of all significant differentially expressed proteins in the plasma membrane fraction (clusters 7, 11, 12 and 21 are resistance proteins, cluster 22 is adaptation protein, clusters 1, 5, 6, 14, 15, 16, 18, 20 and 23 are sustained proteins, and clusters 2, 3, 4, 8, 9, 10, 13, 17 and 19 are undetermined protein trends).

Pie charts representing percentage of each protein cluster classified by the expression pattern of all significant differentially expressed proteins in the soluble fraction (clusters 9, 17 and 20 are resistance proteins, clusters 7, 12 and 21 are adaptation proteins, clusters 1, 2, 3, 6, 16, 18 and 19 are sustained proteins, and clusters 4, 5, 8, 10, 11, 13, 14, 15, 22 and 23 are undetermined protein trends).

Pie charts representing percentage of each protein cluster classified by the expression pattern of all significant differentially expressed proteins in the thylakoid membrane fraction (clusters 4, 11, 12, 16, 19 and 20 are resistance proteins, clusters 1, 10 and 17 are adaptation proteins, clusters 2, 6, 8, 9, 13, 14, 18, 21, 22 and 23 are sustained proteins, and clusters 3, 5, 7 and 15 are undetermined protein trends).

Site-specific DNA methyltransferase (cytosine-specific) is the only resistance protein that was identified in this study. The level of this protein initially increased and subsequently decreased in the TM fraction (Table 4). DNA methylase is involved in the DNA repair system, and it shows the same expression pattern in response to cadmium stress, which is known to induce DNA-damage [38]. Most of the two component signal transduction systems, stress-related proteins and proteins involved in DNA-damage and DNA-repair are classified in the sustained tolerance group (Fig. 11). This suggests the critical role of these proteins in the tolerance to high temperature stress in Spirulina. It is noteworthy that the resistance proteins (short-term only response) were present at a significantly higher level (2-fold) in the thylakoid membrane than in the other two fractions (Fig. 13). Additionally, adaptation proteins (long-term only response) were found at a higher level in the soluble and the thylakoid membrane fractions (Fig. 12 and 13) than the plasma membrane fraction (Fig. 11).

Potential protein-protein interactions

Several differentially expressed proteins identified in this study can be mapped onto the PPI network available on Cyanobase (Fig. 14, 15 and 16). The potential PPIs shown in the three subcellular fractions represent interesting linkages or cross-talks among the three cellular compartments. For example, in the PM fraction, two component system sensory histidine kinase (spot#1564), ABC transporter (spot#2179), ferredoxin-glutamate synthase (spot#1388) and carboxypeptidase (spot#1284) show interactions with the photosynthetic system. In the soluble fraction, the phosphorylated form of multi-sensor signal transduction histidine kinase (spot#1883) interacts with several periplasmic proteins. However, in the TM fraction, the same protein was found in the non-phosphorylated form. The interactions found in the thylakoid membrane also show communication with the other two fractions.

Predicted protein-protein interaction network based on differentially expressed proteins identified in this work, constructed by using the available data from Cyanobase and the Spirulina genome database. The networks show protein-protein interaction partners in the plasma membrane fraction. The symbols, ⌂ and its reversion, represent the up- and down-regulated proteins identified in this study, respectively. The letters A and B after spot numbers in the nodes represent the pH ranges of 3-10 and 4-7 in the first dimension of the 2D-DIGE, respectively.

Predicted protein-protein interaction network based on differentially expressed proteins identified in this work, constructed by using the available data from Cyanobase and the Spirulina genome database. The networks show protein-protein interaction partners in the soluble fraction. The symbols, ⌂ and its reversion, represent the up- and down-regulated proteins identified in this study, respectively. The letters A and B after spot numbers in the nodes represent the pH ranges of 3-10 and 4-7 in the first dimension of the 2D-DIGE, respectively.

Predicted protein-protein interaction network based on differentially expressed proteins identified in this work, constructed by using the available data from Cyanobase and the Spirulina genome database. The networks show protein-protein interaction partners in the thylakoid membrane fraction. The symbols, ⌂ and its reversion, represent the up- and down-regulated proteins identified in this study, respectively. The letters A and B after spot numbers in the nodes represent the pH ranges of 3-10 and 4-7 in the first dimension of the 2D-DIGE, respectively.

Additionally, PPI networks clearly demonstrate the linkage between high temperature stress and nitrogen and ammonia assimilation in Spirulina. It is well established that photosynthesis and nitrate reduction are closely related in cyanobacteria and plants, via the nitrate reductase requirement of photoreduced ferredoxin [39,40]. In response to heat stress, inhibition of photosynthesis and nitrate reductase was observed. Moreover, it was reported by Rajaram and Apte [40] that a Hsp60 family protein, Cpn60, which is induced by heat stress and stabilized by nitrogen supplementation, either from nitrate or ammonia, is essential for the thermal stability of these vital metabolic processes.

Conclusion

The differentially expressed proteins identified in the subcellular fractions of Spirulina in response to high temperature stress can be functionally classified into 5 major groups: two component systems, stress-related proteins, DNA damage/DNA repair system, translational machinery and proteins with conserved motifs. The transcriptional expression levels of several proteins were studied by RT-PCR. Several of the differentially expressed proteins, such as DNA gyrase and ABC transporter, were regulated at the transcriptional level. Some proteins, such as sensory box/GGDEF domain and RNA-directed DNA polymerase, were found to be regulated at the post-translational level. Finally, other proteins, such as DnaK and adenylate cyclase, were found to be regulated at the post-transcriptional level.

All the differentially expressed proteins were subjected to protein clustering, based on their expression pattern in the three cellular compartments. The clustering data assists in grouping the up- or down-regulated proteins into three major trends: resistance proteins, adaptation proteins and sustained tolerance proteins. The majority of the differentially expressed proteins from all subcellular fractions were found to be sustained tolerance proteins, suggesting the critical role of these proteins in the tolerance of Spirulina to high temperature stress. A group of resistance proteins (short-term only expression) in the photosynthetic membrane was present at 2-fold higher levels than in either of the other two fractions. This is well correlated with the report [33] that photosynthetic systems are rapidly affected by high temperature (40°C) in the present of light.

According to the data obtained from the PPI network construction, the cross-talk and linkages between the three cellular compartments, via protein-protein interactions, were substantial. The data give clear evidence that the nitrogen and ammonia assimilation processes are affected by exposure to heat stress.

In terms of applications, the present proteomic analysis and PPI network construction are part of an attempt to control and manipulate conditions to maximize polyunsaturated fatty acid (PUFA) biosynthesis in this cyanobacterium. Taken together with the data obtained in our cold-shock response study of S. platensis [11,13], several proteins involved in fatty acid biosynthesis, such as histidine kinases, (3R)-hydroxymyristoyl- [acyl-carrier-protein]-dehydratase or FabZ, acyl carrier protein (ACP) and Δ9-desaturase, were revealed to be differentially expressed. The knowledge obtained can be applied at the industrial level, for manipulation of PUFA production, as well as in future studies of various aspects of Spirulina. In addition to valuable product biosynthesis in Spirulina, the results from the PPI network are beneficial to the functional annotation of some Spirulina platensis-ORFs. For example, AP07850026 (spot#2410), annotated as a two component system, could possibly be functionally annotated to a two component system in the Nar family, due to its interaction with a protein involved with nitrogen assimilation. Finally, future proteomic analysis of Spirulina will involve analyzing the complete proteome of Spirulina by combining the techniques of 2D-PAGE and liquid chromatography-tandem mass spectrometry (LC-MS/MS).

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

AH carried out the proteome analysis and the protein-protein interaction analysis, conceived of the study, and participated in its design and coordination. MS participated in the proteome analysis. RY participated in the proteome analysis. JS carried out the potential protein-protein interaction construction and others statistical analysis. PK carried out the molecular genetic studies. SC participated in the design of the study. MT participated in the design of the study. All authors read and approved the final manuscript.

Supplementary Material Additional file 1

Details on primers conditions used in RT-PCR experiments. The table provides details on primers conditions used in RT-PCR experiments.

Click here for file

Additional file 2

Additional figures 1-6. The data provided represent spot map of 2D-DIGE of all protein fractions, quantitative analysis of protein, of which mRNAs were analyzed by RT-PCR, and protein clustering based on their expression level.

Click here for file

Acknowledgements

This research was funded by a grant from the National Center for Genetic Engineering and Biotechnology (BIOTEC), Bangkok, Thailand.

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