Skip to main content
Download PDF

Proteome profiling reveals changes in energy metabolism, transport and antioxidation during drought stress in Nostoc flagelliforme

BMC Plant Biology volume 22, Article number: 162 (2022) Cite this article

Abstract

Background

Drought is an important abiotic stress that constrains the growth of many species. Despite extensive study in model organisms, the underlying mechanisms of drought tolerance in Nostoc flagelliforme remain elusive.

Results

We characterized the drought adaptation of N. flagelliforme by a combination of proteomics and qRT-PCR. A total of 351 differentially expressed proteins involved in drought stress adaptation were identified. It was found that the expression of several nutrient influx transporters was increased, including molybdate ABC transporter substrate binding protein (modA), sulfate ABC transporter substrate-binding protein (sbp) and nitrate ABC transporter (ntrB), while that of efflux transporters for toxic substances was also increased, including arsenic transporting ATPase (ArsA), potassium transporter (TrkA) and iron ABC transporter substrate-binding protein (VacB). Additionally, photosynthetic components were reduced while sugars built up during drought stress. Non-enzymatic antioxidants, orange carotenoid protein (OCP) homologs, cytochrome P450 (CYP450), proline (Pro) and ascorbic acid (AsA) were all altered during drought stress and may play important roles in scavenging reactive oxygen species (ROS).

Conclusion

In this study, N. flagelliforme may regulates its adaptation to drought stress through the changes of protein expression in photosynthesis, energy metabolism, transport, protein synthesis and degradation and antioxidation.

Highlights

• A total of 351 DEPs involved in adaptation to drought stress were identified.

• Changes in the expression of six OCP homologs were found in response to drought stress.

• Differential expression of transporters played an important role in drought stress adaptation.

• Most PSII proteins were downregulated, while PSI proteins were unchanged in response to drought stress.

• Sugar metabolism was upregulated in response to drought stress.

Peer Review reports

Background

Nostoc flagelliforme is a terrestrial nitrogen-fixing cyanobacteria that plays important ecological roles and has high economic value. It is considered to be a local ecosystem pioneer and plays a crucial role in the carbon and nitrogen balance in native habitat. It is also involved in the formation of biological desert soil crusts, which will increase soil organic matter and promote nutrients recycling, thus contributing to species diversity and ecosystem stability [1]. It is primarily located in dry and windy areas with relatively poor species diversity with low rainfall and relative humidity. Due to its challenging natural environment, N. flagelliforme typically faces periodic rehydration and dehydration changes [2, 3]. It can survive for decades under extremely dry conditions, and quickly recover its physiological and metabolic state after reabsorbing water [4]. Therefore, N. flagelliforme colonies grown under natural conditions are ideal research material for studying drought tolerance mechanisms.

A significant amount of research has been conducted investigating dehydration-responsive proteins and understanding the molecular mechanisms underlying their regulation [5,6,7,8]. It has been reported that hairy structures and extracellular polysaccharide sheaths are related to drought tolerance in N. flagelliforme [9]. Additionally, the number and volume of vacuoles have been reported to be reduced during dehydration [4]. Transcriptomic studies have also revealed that the expression of genes involved in photosynthesis, starch and sucrose metabolism are correlated during response to drought, with sucrose and trehalose playing an important role in osmotic regulation, stress protection and reactive oxygen scavenging [9]. In addition, a comparative transcriptomic and physiological analysis has shown that dehydration increases the content of exopolysaccharides and the level of reactive oxygen species (ROS) in N. flagelliforme [10].

Proteomics studies have improved our understanding of the molecular mechanisms involved in plant stress tolerance [11]. Thus far, the proteomes of several cyanobacteria have also been studied during response to different stresses [12,13,14], including Arthrospira platensis and Synechocystis sp. PCC 6803. Synechocystis sp. PCC 6803 was subjected to variable light conditions and found to reduce phycobilisome (PBS) antennas and increase photosystem II (PSII) repair mechanisms in orange-red light conditions. Furthermore, proteomics studies on N. flagelliforme have found that photosynthesis, antioxidant systems and energy metabolism were affected by different stresses in different ways [1, 4, 15,16,17,18]. Transporters have been found to be involved in response to the rehydration stress by N. flagelliforme [1]. In addition, carotenoid-binding proteins have also been found to be regulated in response to rehydration and dehydration treatments [7]. These studies provide a basis for exploring the mechanisms underlying the response of N. flagelliforme to different stresses and may contribute to the elucidation of the specific metabolic and regulatory mechanisms of N. flagelliforme.

To clarify the key events related to drought stress from a protein expression level, we utilized the label-free [19] and LC-MS-MS technologies, as well as genomic databases for N. flagelliforme. We also combined parallel response monitoring (PRM) and qRT-PCR to better understand the regulatory mechanisms of drought stress-related proteins in N. flagelliforme.

Results

Overview of proteome changes and differentially expressed proteins

An overview of the experimental process is summarized in Fig. 1A. SDS-PAGE revealed that the protein bands of the four groups of samples were clear, indicating that the protein quality met the requirements of the downstream experiments (Supplementary Fig. S1). A total of 1617 proteins of N. flagelliforme were identified by label-free technology and LC-MS-MS. The total number of proteins present in all four treatments was 1395, and the specific proteins in QA, QB, QC and QD treatments were 8, 7, 8 and 26, respectively (Supplementary Fig. S2). The proteins with a change > 1.2-fold or < 0.83-fold and a P-value < 0.05 were considered differentially accumulated proteins [11]. In total, 158 proteins were upregulated and 59 proteins were downregulated at a water loss rate of 30% of colonies compared to a water loss rate of 0% (QB/QA). Additionally, 127 proteins were upregulated and 84 proteins were downregulated at a water loss rate of 75% compared with a water loss rate of 0% (QC/QA), while 38 proteins were upregulated and 100 proteins were downregulated at a water loss rate of 100% compared with a water loss rate of 0% (QD/QA) (Fig. 1B). As drought stress increased, the protein response weakened, which was reflected in the changes in the number of differential proteins.

Fig. 1
figure 1

Profiling and validation of the proteome results of N. flagelliforme. A General overview of the steps involved; B Quantitative statistics for differentially expressed proteins (DEPs); C. PRM analysis of GST, Prx and PRK under drought stress in N. flagelliforme. The values are represented as means ± SD (n = 3) in the study (P < 0.05)

Full size image

In order to further verify the expression trend of differentially expressed proteins and the reliability of the label-free quantitative proteomics results, glutathione-S-transferase (GST), peroxiredoxins (Prx) and ribulokinase (PRK) were verified by PRM. This analysis confirmed that the expression trends of GST and Prx were consistent with the proteome results in response to drought stress, and the expression trend of PRK was mostly consistent with the proteome results in response to drought stress (Fig. 1C). These data indicated that the label-free system results were reliable and suitable for further analysis.

FGO and KEGG enrichment analysis

The differentially expressed proteins screened by one-way ANOVA were next analyzed for GO functional enrichment. Eight types of biological processes (BP) were enriched in this set, including important biological processes such as carbohydrate metabolic process, photosynthesis and polysaccharide biosynthetic process, indicating that N. flagelliforme may adapt to drought through polysaccharide synthesis. Six molecular functions (MF), including oxidoreductase activity acting on NAD (P) H, ribosome structure and cation transport ATP activity, were enriched and six cellular components (CC), including thylakoid membrane, photosynthetic membrane and intracellular part were enriched (Fig. 2A). KEGG pathway enrichment analysis of differentially expressed proteins showed significant changes in ribosome metabolism, photosynthesis, carbon fixation, pentose phosphate pathway and starch and sucrose metabolism (P < 0.05) (Fig. 2B). It was also found that transporters and stress responsive proteins were enriched (Supplementary Table S1), indicating that these pathways may play an important role in regulating N. flagelliforme response to drought stress.

Fig. 2
figure 2

GO and KEGG pathway analyses of differentially expressed proteins in N. flagelliforme under drought stress. A GO analysis; B KEGG pathway analysis

Full size image

Protein expression trend of N. flagelliforme under drought stress

The changes in protein expression with increasing drought severity were obvious via a cluster analysis. A total of 351 differentially expressed proteins were identified by one-way ANOVA, which clustered into 16 expression patterns (Fig. 3A). There were 214 differentially expressed proteins in four largest differential expression patterns (P < 0.05), including Cluster 15, Cluster 13, Cluster 14 and Cluster 2 (Fig. 3B and Supplementary Table S2). The expression trends of Cluster 13 and Cluster 15 were similar, with each cluster containing 52 and 53 differential proteins, respectively. Cluster 13 mostly contained proteins associated with starch and sucrose metabolism and protein synthesis and degradation, while Cluster 15 contained genes involved in protein synthesis and degradation and oxidative phosphorylation, and the response regulator (REC) protein and multiple response regulator transcription factors, increased during drought stress (Supplementary Table S1).

Fig. 3
figure 3

Protein expression trends of N. flagelliforme under drought stress. A All expression trends; B Trends of differential protein expression of N. flagelliforme under drought stress. Significant trends were found in Cluster 2, Cluster 15, Cluster 13 and Cluster 14

Full size image

Cluster 2 contained 52 differential proteins, all of which decreased gradually in response to drought stress. Many proteins in this cluster were involved in detoxification and antioxidant activity, photosynthesis and protein synthesis and degradation. Cluster 14 contained 70 differential proteins, all of which rapidly increased at QB, then decreased at QC, followed by an increase at QD. This cluster mainly contained proteins associated with starch and sucrose metabolism, purine pyrimidine metabolism and photosynthetic photoreaction.

Protein interaction network of N. flagelliforme under drought stress

Based on the results obtained from GO and KEGG pathway analyses, an interaction network was constructed around biological processes, including photosynthesis, carbon fixation, starch and sucrose metabolism, protein synthesis and degradation, detoxification and antioxidation, transport. Fructose-bisphosphate aldolase (FBP) was higher in glucose metabolism, and groS connectivity was higher in protein synthesis and degradation pathways. These highly connected proteins may play important roles in the adaptation of N. flagelliforme to drought stress (Fig. 4), and were found to undergo significant changes during drought stress.

Fig. 4
figure 4

The protein interaction network of N. flagelliforme under drought stress. Npun_F5517 is PsbP, Npun_F4810 is PsbO, Npun_R2847 is M16, Npun_F4960 is TrkA, Npun_F3527 is GST, Npun_F2147 is ArsA, htpX is M48, Npun_F6222 is VacB, Npun_F3917 is FBP, Npun_F5056 is S41 and Npun_F3917 is GlpX

Full size image

Physiological observations

The contents of soluble sugar increased by 47.3 and 161.7% at QC and QD when compared with the control (QA), respectively. Additionally, Pro increased by 39.6% at QC, while AsA increased by 51.8% at QD. The hydroxyl radical scavenging rate was sevenfold higher at QD compared to QA. H2O2 significantly decreased compared with QA, while the activity of GlgA increased by 28.1 and 92.1% at QC and QD. Both the contents of glucose-6-Phosphate (G6P) and fructose-6-phosphate (F6P) decreased at QC and QD, the contents of sucrose increased at QC and QD (Fig. 5).

Fig. 5
figure 5

Changes in the metabolite contents and key enzyme activities of N. flagelliforme under drought stress. Different letters on each bar indicate significantly different values (P < 0.05). The values are presented as means ± standard deviation (n = 3) (P < 0.05)

Full size image

qRT-PCR analysis

In photosynthesis, the expression levels of photosystem I reaction center subunit X (apcE), psb28, cytochrome b6-f complex iron-sulfur subunit (petC) and allophycocyanin subunit beta (apcB) decreased in response to drought stress. The most pronounced decrease was observed for petC, which decreased tenfold at QD compared with QA. In the sugar and energy metabolism category, GlgC showed no significant changes, while GlgA, Ccmk and glk decreased by twofold to tenfold during dehydration. In the protein synthesis and degradation category, the expression levels of tig, M48, EF-G and groS decreased in response to drought stress. In the detoxification and antioxidation category, Prx and Trx decreased in response to drought stress, while GST increased at QB, and CrtO levels rose by two to four times at different drought stages (Fig. 6).

Fig. 6
figure 6

Gene expression under different drought stress conditions. Values (means ± SD) were determined with three replicates. The values are presented as means ± SD (n = 3) (P < 0.05)

Full size image

Discussion

Proteins involved in transport in N. flagelliforme

In the phototrophic-heterotrophic system, nutrients are obtained via active membrane transport systems [1]. Additionally, transporters play an important role in efflux of heavy metal ions and stress adaptation [20], making both influx and efflux critical components of the transport system [21]. The substrates of the inward transport system are often nutrients, such as phosphates, sugars and inorganic ions. In this study, multiple phosphate ABC transporter substrate binding proteins (PstS and PhnD) decreased (Fig. 8, Supplementary Table S1), indicating that intracellular phosphate may be sufficient under drought stress. In Escherichia coli, PstS1 and PstS2 have been shown to only work when the environmental phosphate concentration is low [22], which is consistent with the changes in phosphate transporters that we observed. The levels of multiple transporters also increased (Fig. 8), including modA, sbp and ntrB, indicating that these transporters provided vital nutrients for N. flagelliforme under drought stress. The sugar ABC transporter substrate binding protein (SuaB) is specific for trehalose/maltose and we found that it increased in response to drought stress in N. flagelliforme (Fig. 8). The acquisition of sugar has previously been shown to increase under drought stress [23], which is consistent with our results. In addition to competing for limited nutrients, toxic substances in the cell also need to be actively excreted. The transport system related to the efflux of heavy metal ions has been shown to be involved in detoxification and maintaining osmotic pressure in Mycobacterium tuberculosis [24]. Our results showed that the levels of ArsA, TrkA and VacB significantly increased under different drought stresses (Fig. 8), which may indicated that heavy metals may need to be excreted as part of drought stress adaptation. Overall, transporters appear to be critical for the response of N. flagelliforme to drought stress.

Effects of drought stress on the energy metabolism of N. flagelliforme

Photosynthesis is generally believed to be sensitive to drought stress [4]. Six proteins of PSII decreased in response to drought stress (Fig. 8). Psb28 has been shown to protect RC47 assembly intermediates of PSII, its absence impaired PSII recovery after photodamage at high temperature and high-light conditions [25]. The protein and transcript levels of psb28 decreased significantly under drought stress (Fig. 6), suggesting that PSII turnover may be affected. Most proteins of PSI did not change significantly (Supplementary Table S1) and the ultrastructure of the colony cells remained intact under dehydration (Supplementary Fig. S3). Other studies have indicated that photosynthetic activity reduces in dehydrated colonies [4]. PetC and ferredoxin-NADP+ reductase (FNR) have been shown to participate in photosynthetic electron transport [26, 27], the levels of these proteins decreased (Fig. 8). The petC gene (Fig. 6) and the petH gene (FNR) [28] were also decreased. The downregulation of FNR could increase circulating electron flow and therefore resistance to drought stress [29]. Similarly, FNR was decreased in wheat and Populus cathayana in response to drought stress [30, 31]. Taken together, unchanged PSI proteins and down regulation of other proteins revealed that the photosynthesis system maintains a lower functionality and ability of electron transfer, which prevents damage to the photosynthetic structures during drought stress.

Previous studies have shown that drought-responsive proteins often participate in energy metabolism [32]. Carbohydrates are one of the most abundant metabolites in plants and play an important role as a source of energy in response to abiotic stresses. In this study, several proteins (FBP, GlpX, PGI) involved in energy metabolism also increased in response to drought stress (Fig. 8). The enhanced expression of these proteins may promote the rate of glycolysis to produce F6P, which is the main material for the synthesis of sucrose and polysaccharides, which may help in response to dehydration, as extracellular polysaccharides are important in protecting the cell membrane [16]. The determination of the content of carbon metabolites in the glycolytic pathway (EMP) of N. flagelliforme found that the content of intermediate carbon metabolites F6P and G6P with a water loss rate of 0% was significantly higher than that of other treatments (Fig. 5). These results all indicate that the EMP pathway is an important energy supply pathway in response to drought stress.

Cyanobacteria have a unique carbon concentration mechanism (CCM), which can promote the carboxylation of ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO). RuBisCO is the key enzyme of CO2 assimilation in photosynthesis. The expression of ribulose-1- diphosphate carboxylase small subunit (rbcS) and PRK decreased in response to drought stress (Supplementary Table S1), indicating that carbon fixation may be inhibited or maintained at a low level under drought stress.

Glucose-1-adenosyl transferase (GlgC) and GlgA are enzymes for glycogen metabolism. The expression and activities of GlgA were increased in response to drought stress (Figs. 5 and 8), GlgC was also significantly increased (Fig. 8). GlgC and GlgA can catalyze G1P to produce glycogen. Furthermore, sucrose plays an important role in regulating the osmotic potential of cells and stabilising their structural components [16]. Sucrose synthase (SS), a key enzyme in sucrose metabolism, was significantly increased (Fig. 8). Sucrose accumulation induced by salt stress was reported [33]. Therefore, sucrose (Fig. 5) and glycogen [34] were accumulated in response to drought stress, due to increased expression of GlgC and GlgA, SS, and increased activity of GlgA, rather than changes in transcript levels (Fig. 6). Furthermore, the contents of soluble sugar increased in response to drought stress in N. flagelliforme (Fig. 5). In short, N. flagelliforme may maintain a high content of sugar under drought stress, which helps alleviate drought-induced damage to N. flagelliforme cells.

Effects of drought stress on detoxification and antioxidation in N. flagelliforme

Photoautotrophic cyanobacteria and higher plants can produce harmful ROS during abiotic stress, which can cause lipid peroxidation and cell damage [35, 36]. GST catalyzes the binding of electrophilic groups of endogenous or foreign harmful substances with the sulfhydryl groups of glutathione to form non-toxic derivatives [37]. GST significantly increased during drought stress in N. flagelliforme at both the transcript level [28] and protein level (Supplementary Table S1). Several proteins involved in the removal of H2O2 decreased in response to drought stress in N. flagelliforme, including Prx, Trx and cytochrome C peroxidase (CCP). Prx proteins are a large family of peroxidases [38], which main involved in the cytokine signal cascade and other functions by regulating the intracellular concentration of H2O2, and different types of Prx perform different functions [39]. In this study, Prx significantly decreased under different drought stresses (Supplementary Table S1). At the transcript level, Prx and Trx genes also decreased (Fig. 8). Speculating the low expression of two Prx may be the result of reduced overall metabolic activity of N. flagelliforme cells, or the clearance of H2O2 may be through other pathways, and other studies have also shown that Trx and Prx decreased in response to salt treatment [40]. In this study, cytochrome P450 (CYP450) increased in response to drought stress (Supplementary Table S1), while H2O2 decreased (Fig. 5). This is consistent with other studies that found an increase in some CYP450 members in cotton during drought stress [41]. Furthermore, overexpression of CYP450 gene conferred enhanced resistance to salt stress via decreased production of H2O2 accumulation in Arabidopsis thaliana [42]. These results suggest that N. flagelliforme primarily relies on CYP450 rather than Trx, Prx or CCP to scavenge H2O2 during drought stress.

Carotenoids can quench singlet oxygen [43], with ketocarotene contributing to this process significantly in cyanobacteria. The protein level of beta-carotene ketolase (CrtO), which is involved in the synthesis of ketocarotene [44], increased slightly in N. flagelliforme under drought stress, but the level of its transcript increased significantly (Fig. 6). This finding indicated that CrtO expression increased to induce ketocarotene formation in order to quench singlet oxygen (1O2) in response to drought stress. Orange carotenoid proteins (OCPs) can also quench 1O2, and ocp gene were composed of hcp1, hcp2, hcp3, hcp6, ccp, ocpx1 and ocpx2 [7]. Our data showed that OCPx2 was the main contributor to total OCP protein, and it increased under drought stress (Fig. 7 and Supplementary Table S1). HCP3 also accounted for a large portion of the total protein expression of OCPs, and it significantly increased at QC and QD (Fig. 7), and hcp3 also increased at the transcript level during dehydration [7], which indicated that OCPx2 and HCP3 may also play important roles in total OCP function. Moreover, the OCPs from desiccated N. flagelliforme quench 1O2 in vitro [7]. Compared with the control, the total OCP expression increased under drought stress (Fig. 7), which may lead to the elimination of 1O2.

Fig. 7
figure 7

Expression of orange carotenoid proteins (OCPs) in N. flagelliforme under drought stress. A. Comparison of the abundance of OCPs; B. Visualization of OCPs. The proteins that increased and decreased in abundance are indicated in yellow and blue, respectively

Full size image

Effects of drought stress on protein synthesis and degradation in N. flagelliforme

Several proteins (groS, tig) involved in the correct folding and efflux of proteins also significantly decreased during drought stress (Supplementary Table S1). The groS and tig genes decreased compared with the QA (Fig. 6). These results indicated that the correct folding and efflux of proteins may be seriously affected, which may significantly affect cell survival, since protein degradation is important for removing damaged proteins during drought [32]. Several peptidases were found to increase (Supplementary Table S1), which may serve to hydrolyze proteins that have been damaged during drought stress to free their amino acids for reuse. Despite this, the gene expression level of M48 decreased in response to drought stress (Fig. 6). Extension factor G (EF-G) promotes ribosome movement to the 3′ end of mRNA [45], and it works in concert with ribosomal recycling factor (RRF) to recycle ribosomes, which is important in the synthesis of new proteins [32]. The EF-G increased significantly (Supplementary Table S1), indicating that the amino acids freed up by proteases were likely reused for new protein synthesis.

Conclusion

In this study, proteomics combined with qRT-PCR data and metabolites was used to analyse the biology of protein expression regulation of N. flagelliforme in response to drought stress. Several differentially expressed transporters were identified. Photosynthetic activity was also maintained at a low level, which was evidenced by a reduction in several proteins associated with this process. Proteins involved in sugar metabolism were upregulated in response to drought stress, while ROS was scavenged by both enzymatic and non-enzymatic systems. Additionally, protein-level changes were seen in six different OCP homologs during drought stress responses. Furthermore, incorrectly folded proteins were hydrolyzed and the resulting amino acids were used to further adapt to drought stress. Therefore, N. flagelliforme may regulates its adaptation to drought stress through the changes of protein expression in photosynthesis, energy metabolism, transport, protein synthesis and degradation and antioxidation (Fig. 8). The changes in protein abundance, transcript levels and physiology identified in this study will lay a foundation for further study of the complex molecular processes which occur during N. flagelliforme drought stress responses.

Fig. 8
figure 8

Protein molecular regulation network in N. flagelliforme under drought stress. Proteins (drought stress vs. control) that were upregulated are colored red, while proteins (drought stress vs. control) that were downregulated are colored blue

Full size image

Materials and methods

Materials

N. flagelliforme was provided by Yinchuan Botanical Garden (Yinchuan, China), which was acquired from Helan Mountain in China. It was cultured under conditions designed to mimic the natural environment of N. flagelliforme. The culture temperature was 25 ± 2 °C, with a light intensity of 400 μmol/(m2·s). QA was sampled when the water loss rate of N. flagelliforme was 0% (control group, fully absorbed and held for 4 h), QB was taken when the water loss rate was 30% (fully absorbed and then loses water for about 45 min), QC was taken when the water loss rate was 75% (fully absorbed and then loses water for about 2.5 h) and QD was taken when the water loss rate was 100% (fully absorbed and then loses water for about 64 h). There were at least three biological replicates in each group, and samples were stored at − 80 °C.

Protein extraction and cleavage, content determination, SDS-PAGE detection and enzymatic hydrolysis

The total proteins of N. flagelliforme were extracted by a modified trichloroacetic acid (TCA) / acetone precipitation method [4]. Protein quantitation and SDS-PAGE analysis were conducted as Li et al. described [28]. The protein was visualized by Coomassie brilliant blue staining and decolorization. Each sample was trypsin hydrolyzed by the filter-aided sample preparation (FASP) method [46], and the peptide was desalted by a C18 cartridge. After freeze-drying, the peptide was re-dissolved with 40 μL of 0.1% formic acid solution, and the peptide was quantified by measuring its absorbance at OD280.

LC-MS/MS and data analysis

The HPLC liquid phase system Easy nLC system was used to separate samples. The injection volume is 2 μg peptide. The chromatographic column was balanced with a 95% solution of buffer A (aqueous 0.1% formic acid), with the sample first passed through the trap column (Thermo Scientific Acclaim PepMap100, 100 μm × 2 cm, nanoViper C18), and then separated by the analytical column (Thermo Scientific EASY column, 10 cm, ID 75 μm, 3 μm, C18-A2) with a flow rate of 300 nL/min. The separated samples were analyzed by a Q Exactive mass spectrometer. The detection mode was set to positive ion, with AGC (automatic gain control). Target and maximum IT were 1e6 and 50 ms, respectively. Other settings were used as previously described [47]. The scanning range of the precursor ions was 300 - 1800 m/z; the resolution of MS1 was 70,000 at 200 m/z. The mass charge ratio of peptides and polypeptide fragments was collected according to the following methods: 20 fragment maps (MS2 scan, HCD) were acquired after each full scan. MS2 have a resolution of 17,500 at m/z 200. The software MaxQuant (version 1.5.3.17) was used for database searches, while the LFQ (label free quantitation) algorithm was used for quantitative analysis [48]. The P17036_NCBI_ Nostoc_flagelliforme_18909_ 20,171 228 database was used in this study.

Bioinformatics analysis

Differentially expressed proteins were screened by one-way analysis of variance (ANOVA; P-value < 0.05). The target protein set was annotated with GO and KEGG pathways via Blast2GO [47, 49] and KAAS (KEGG Automatic Annotation Server) software, respectively. GO functional enrichment analysis [50] and KEGG pathway enrichment analysis [51] were carried out by Fisher’s exact tests. The protein–protein interaction between the target proteins was searched via the STRING database (http://string-db.org/).

PRM verification

PRM verification was carried out for selected proteins with important biological functions. Peptide information was imported into the Xcalibur software and set via the PRM method. Original PRM files were analyzed by Skyline version 3.5.0 [52]. Full details are given in Supplementary Text S1.

Detection of physiological parameters

The contents of soluble sugar, sucrose, AsA, H2O2 and hydroxyl radical scavenging rate were measured utilizing the plant soluble sugar assay kit, Micro Ascorbic Acid content assay Kit, Hydrogen peroxide assay kit, Hydroxyl free radical removal capacity determination kit from Suzhou Comin Biotechnology Co., Ltd. (Suzhou, China), according to the manufacturer’s instructions. The content of Pro was measured using an HPLC system [53]. The activity of glycogen synthase (GlgA) was measured according to the instructions for the glycogen synthase kit from Suzhou Comin Biotechnology Co. Ltd. (Suzhou, China).

The contents of G6P and F6P were measured using UPLC-MS. Samples were separated using an Agilent 1290 Infinity LC UPLC system. Mass spectrometry was performed using a 5500 QTRAP mass spectrometer (AB SCIEX) in negative ion mode. Multiple reactions monitoring (MRM) scan type was used in the negative scan mode to detect ion pair. Multiquant software was used to extract peak areas and retention times, and standards (Sigma-Aldrich) of G6P and F6P were used to correct retention times for metabolite identification.

qRT-PCR analysis

The expression levels of transcripts encoding 16 differential proteins associated with drought stress in N. flagelliforme were examined via qRT-PCR (Supplementary Table S3). An RNAprep Pure Plant Kit (Polysaccharides & Polyphenolics-rich) was used to extract the total RNA from N. flagelliforme. Primer sequences of the genes are shown in Supplementary Table S3. The cDNA synthesis kit Revert Aid Premium Reverse Transcriptase (Thermo Scientific synthesis EP0733) was used for cDNA synthesis, with 16sRNA used as an internal reference gene. At least three biological replicates were used for each sample. The expression levels of 16 genes were quantitated with the 2-△△Ct method [54].

Data processing and statistical data analysis

Three independent biological replicates were performed, and all measurements are shown as the mean ± SD. One-way ANOVA was used to examine the differences among the treatments (P ≤ 0.05).

Availability of data and materials

The datasets used and analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

ATP:

Adenosine triphosphate

HPLC:

High performance liquid chromatography

LC-MS/MS:

Liquid chromatograph mass spectrometer

qRT-PCR:

Quantitative real-time polymerase chain reaction

SDS:

Sodium dodecyl sulfate

PAGE:

Polyacrylamide gel electrophoresis

GO:

Gene Ontology

KEGG:

Kyoto Encyclopedia of Genes and Genomes

NADPH:

Triphosphopyridine nucleotide

ABC transporters:

ATP binding cassette transporters

atpG:

F0F1 ATP synthase subunit B

atpA:

F0F1 ATP synthase subunit alpha

atpH:

ATP synthase subunit delta

modA:

Molybdate ABC transporter substrate binding protein

sbp:

Sulfate ABC transporter substrate-binding protein

ntrB:

Nitrate ABC transporter

NikA:

Peptide ABC transporter substrate-binding protein

ArsA:

Arsenic transporting ATPase

TrkA:

Potassium transporter

VacB:

Iron ABC transporter substrate-binding protein

References

  1. Wang B, Yang JJ, Xu C, Yi LX, Wan CH. Dynamic expression of intra- and extra-cellular proteome and the influence of epiphytic bacteria for Nostoc flagelliforme in response to rehydration. Environ Microbiol. 2020;22(4):1251–64.

    Article  CAS  PubMed  Google Scholar 

  2. Baosheng Qiu KG. Dried field populations of Nostoc flagelliforme (Cyanophyceae) require exogenous nutrients for their photosynthetic recovery. J Appl Phycol. 1999;11:535–41.

    Article  Google Scholar 

  3. Zhao XM, Bi YH, Chen L, Hu S, Hu ZY. Responses of photosynthetic activity in the drought-tolerant cyanobacterium, Nostoc flagelliforme to rehydration at different temperature. J Arid Environ. 2008;72(4):370–7.

    Article  Google Scholar 

  4. Liang W, Zhou Y, Wang L, You X, Zhang Y, Cheng CL, et al. Ultrastructural, physiological and proteomic analysis of Nostoc flagelliforme in response to dehydration and rehydration. J Proteome. 2012;75(18):5604–27.

    Article  CAS  Google Scholar 

  5. Qiu BS, Zhang AH, Liu ZL, Gao KS. Studies on the photosynthesis of the terrestrial cyanobacterium Nostoc flagelliforme subjected to desiccation and subsequent rehydration. Phycologia 2004, 43(5):521-528.

  6. Han PP, Sun Y, Wu XY, Yuan YJ, Dai YJ, Jia SR. Emulsifying, flocculating, and physicochemical properties of exopolysaccharide produced by cyanobacterium Nostoc flagelliforme. Appl Biochem Biotechnol. 2014;172(1):36–49.

    Article  CAS  PubMed  Google Scholar 

  7. Yang YW, Yin YC, Li ZK, Huang D, Shang JL, Chen M, et al. Orange and red carotenoid proteins are involved in the adaptation of the terrestrial cyanobacterium Nostoc flagelliforme to desiccation. Photosynth Res. 2019;140(1):103–13.

    Article  CAS  PubMed  Google Scholar 

  8. Xu HF, Dai GZ, Ye DM, Shang JL, Song WY, Shi H, et al. Dehydration-induced DnaK2 chaperone is involved in PSII repair of a desiccation-tolerant cyanobacterium. Plant Physiol. 2020;182(4):1991–2005.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Wang L, Lei X, Yang J, Wang S, Liu Y, Liang W. Comparative transcriptome analysis reveals that photosynthesis contributes to drought tolerance of Nostoc flagelliforme (Nostocales, Cyanobacteria). Phycologia. 2019;57(1):113–20.

    Article  Google Scholar 

  10. Wu SJ, Yu KQ, Li L, Wang LX, Liang WY. Enhancement of exopolysaccharides production and reactive oxygen species level of Nostoc flagelliforme in response to dehydration. Environ Sci Pollut Res Int. 2021.

  11. Song T, Sun N, Dong L, Cai H. Enhanced alkali tolerance of rhizobia-inoculated alfalfa correlates with altered proteins and metabolic processes as well as decreased oxidative damage. Plant Physiol Biochem. 2021;159:301–11.

    Article  CAS  PubMed  Google Scholar 

  12. Chang R, Lv BX, Li BS. Quantitative proteomics analysis by iTRAQ revealed underlying changes in thermotolerance of Arthrospira platensis. J Proteome. 2017;165:119–31.

    Article  CAS  Google Scholar 

  13. Cordara A, Manfredi M, van Alphen P, Marengo E, Pirone R, Saracco G, et al. Response of the thylakoid proteome of Synechocystis sp. PCC 6803 to photohinibitory intensities of orange-red light. Plant Physiol Biochem. 2018;132:524–34.

    Article  CAS  PubMed  Google Scholar 

  14. Chen WY, Fang LF, Huang XH, Ge HT, Wang JL, Wang XR, et al. Systematic identification of light-regulated cold-responsive proteome in a model cyanobacterium. J Proteome. 2018;179:100–9.

    Article  CAS  Google Scholar 

  15. Liang WY, Wang LX, Zhang YP, Lei XT, Yang J, You XR, et al. Chen W: comparative proteomic and physiological analysis of diurnal changes in Nostoc flagelliforme. J Appl Phycol. 2013;25(6):1709–21.

    Article  CAS  Google Scholar 

  16. Wang B, Yang L, Zhang YQ, Chen SL, Gao X, Wan CH. Investigation of the dynamical expression of Nostoc flagelliforme proteome in response to rehydration. J Proteome. 2019;192:160–8.

    Article  CAS  Google Scholar 

  17. Han PP, Guo RJ, Shen SG, Yan RR, Wu YK, Yao SY, et al. Proteomic profiling of Nostoc flagelliforme reveals the common mechanism in promoting polysaccharide production by different light qualities. Biochem Eng J. 2018;132:68–78.

    Article  CAS  Google Scholar 

  18. Shen SG, Guo RJ, Yan RR, Wu YK, Zhao DX, Lin YH, et al. Comparative proteomic analysis of Nostoc flagelliforme reveals the difference in adaptive mechanism in response to different ultraviolet-B radiation treatments. Mol Biol Rep. 2018;45(6):1995–2006.

    Article  CAS  PubMed  Google Scholar 

  19. Mora L, Bramley PM, Fraser PD. Development and optimisation of a label-free quantitative proteomic procedure and its application in the assessment of genetically modified tomato fruit. Proteomics. 2013;13(12-13):2016–30.

    Article  CAS  PubMed  Google Scholar 

  20. Granzin J, Eckhoff A, Weiergraber OH. Crystal structure of a multi-domain immunophilin from Arabidopsis thaliana: a paradigm for regulation of plant ABC transporters. J Mol Biol. 2006;364(4):799–809.

    Article  CAS  PubMed  Google Scholar 

  21. Biemans-Oldehinkel E, Doeven MK, Poolman B. ABC transporter architecture and regulatory roles of accessory domains. FEBS Lett. 2006;580(4):1023–35.

    Article  CAS  PubMed  Google Scholar 

  22. Peirs P, Lefevre P, Boarbi S, Wang XM, Denis O, Braibant M, et al. Mycobacterium tuberculosis with disruption in genes encoding the phosphate binding proteins PstS1 and PstS2 is deficient in phosphate uptake and demonstrates reduced in vivo virulence. Infect Immun. 2005;73(3):1898–902.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. AbdElgawad H, Avramova V, Baggerman G, Van Raemdonck G, Valkenborg D, Van Ostade X, et al. Starch biosynthesis contributes to the maintenance of photosynthesis and leaf growth under drought stress in maize. Plant Cell Environ. 2020;43(9):2254–71.

    Article  CAS  PubMed  Google Scholar 

  24. Nagata T, Shigemi Iizumi, Kouji Satoh, Kikuchi S: comparative molecular biological analysis of membrane transport genes in organisms. Plant Mol Biol 2008, 66:565–585.

  25. Weisz DA, Liu HJ, Zhang H, Thangapandian S, Tajkhorshid E, Gross ML. Pakrasi HB: mass spectrometry-based cross-linking study shows that the Psb28 protein binds to cytochrome b559 in photosystem II. PNAS. 2017;114(9):2224–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Veit S, Takeda K, Tsunoyama Y, Rexroth D, Rogner M, Miki K. Structure of a thermophilic cyanobacterial b6f-type Rieske protein. Acta Crystallogr D Biol Crystallogr. 2012;68(Pt 10):1400–8.

    Article  CAS  PubMed  Google Scholar 

  27. Sun Y, Chen M, Yang H, Zhang J, Kuang T, Huang F. Enhanced H2 photoproduction by down-regulation of ferredoxin-NADP+ reductase (FNR) in the green alga Chlamydomonas reinhardtii. Int J Hydrog Energy. 2013;38(36):16029–37.

    Article  CAS  Google Scholar 

  28. Li XX, Wang LX, Wang M, Zhang Z, Ma CX, Ma XR, et al. Global analysis of protein succinylation modification of Nostoc flagelliforme in response to dehydration. J Proteome. 2021;237:104149.

    Article  CAS  Google Scholar 

  29. Gharechahi J, Hajirezaei MR, Salekdeh GH. Comparative proteomic analysis of tobacco expressing cyanobacterial flavodoxin and its wild type under drought stress. J Plant Physiol. 2015;175:48–58.

    Article  CAS  PubMed  Google Scholar 

  30. Budak H, Akpinar BA, Unver T, Turktas M. Proteome changes in wild and modern wheat leaves upon drought stress by two-dimensional electrophoresis and nanoLC-ESI-MS/MS. Plant Mol Biol. 2013;83(1-2):89–103.

    Article  CAS  PubMed  Google Scholar 

  31. Xiao XW, Yang F, Zhang S, Korpelainen H, Li CY. Physiological and proteomic responses of two contrasting Populus cathayana populations to drought stress. Physiol Plant. 2009;136(2):150–68.

    Article  CAS  PubMed  Google Scholar 

  32. Wang XL, Cai XF, Xu CX, Wang QH, Dai SJ. Drought-responsive mechanisms in plant leaves revealed by proteomics. Int J Mol Sci. 2016;17(10).

  33. Koksharova OA, Butenko IO, Pobeguts OV, Safronova NA, Govorun VM. Proteomic insights into starvation of nitrogen-replete cells of Nostoc sp. PCC 7120 under beta-N-Methylamino-L-alanine (BMAA) treatment. Toxins (Basel). 2020;12(6).

  34. Liang W, Yan F, Wang M, Li X, Zhang Z, Ma X, et al. Comprehensive Phosphoproteomic analysis of Nostoc flagelliforme in response to dehydration provides insights into plant ROS signaling transduction. ACS Omega. 2021;6(21):13554–66.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Dinakar C, Bartels D. Desiccation tolerance in resurrection plants: new insights from transcriptome, proteome and metabolome analysis. Front Plant Sci. 2013;4:482.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Golldack D, Li C, Mohan H, Probst N. Tolerance to drought and salt stress in plants: unraveling the signaling networks. Front Plant Sci. 2014;5:151.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Pugazhendhi A, Dhanarani S, Shankar C, Prakash P, Ranganathan K, Saratale RG, et al. Electrophoretic pattern of glutathione S-transferase (GST) in antibiotic resistance gram-positive bacteria from poultry litter. Microb Pathog. 2017;110:285–90.

    Article  CAS  PubMed  Google Scholar 

  38. Detienne G, De Haes W, Mergan L, Edwards SL, Temmerman L, Van Bael S. Beyond ROS clearance: Peroxiredoxins in stress signaling and aging. Ageing Res Rev. 2018;44:33–48.

    Article  CAS  PubMed  Google Scholar 

  39. Liang WWL, Shi J, Lei XT, Yang J, Wu SJ, Chen W. Differential expression of antioxidant proteins in the drought-tolerant cyanobacterium Nostoc flagelliforme under desiccation. Plant Omics J. 2014;7(4):1836–3644.

    Google Scholar 

  40. Yu JJ, Chen SX, Zhao Q, Wang T, Yang CP, Diaz C, et al. Physiological and proteomic analysis of salinity tolerance in Puccinellia tenuiflora. J Proteome Res. 2011;10(9):3852–70.

    Article  CAS  PubMed  Google Scholar 

  41. Magwanga RO, Lu P, Kirungu JN, Dong Q, Cai X, Zhou Z, et al. Knockdown of cytochrome P450 genes Gh_D07G1197 and Gh_A13G2057 on chromosomes D07 and A13 reveals their putative role in enhancing drought and salt stress tolerance in Gossypium hirsutum. Genes (Basel). 2019;10(3).

  42. Balusamy SR, Rahimi S, Yang DC. Characterization of squalene-induced PgCYP736B involved in salt tolerance by modulating key genes of abscisic acid biosynthesis. Int J Biol Macromol. 2019;121:796–805.

    Article  CAS  PubMed  Google Scholar 

  43. Young AJ. Frank HA: energy transfer reactions involving carotenoids: quenching of chlorophyll fluorescence. J Photochem Photobiol B Biol. 1996;36:3–15.

    Article  CAS  Google Scholar 

  44. Sandmann G, Mautz J, Breitenbach J. Control of light-dependent keto carotenoid biosynthesis in Nostoc 7120 by the transcription factor NtcA. Z Naturforsch C J Biosci. 2016;71(9-10):303–11.

    Article  CAS  PubMed  Google Scholar 

  45. Wintermeyer W, Peske F, Beringer M, Gromadski KB, Savelsbergh A. Rodnina MV: mechanisms of elongation on the ribosome: dynamics of a macromolecular machine. Biochem Soc Trans. 2004;32:733–7.

    Article  CAS  PubMed  Google Scholar 

  46. Wisniewski JR, Zougman A, Nagaraj N, Mann M. Universal sample preparation method for proteome analysis. Nat Methods. 2009;6(5):359–62.

    Article  CAS  PubMed  Google Scholar 

  47. Xian L, Long YX, Yang M, Chen ZX, Wu JW, Liu XD, et al. iTRAQ-based quantitative glutelin proteomic analysis reveals differentially expressed proteins in the physiological metabolism process during endosperm development and their impacts on yield and quality in autotetraploid rice. Plant Sci. 2021;306:110859.

    Article  CAS  PubMed  Google Scholar 

  48. Cox J r, Hein MY, Luber CA. Igor Paron, Nagarjuna Nagaraj, Mann M: accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ. Mol Cell Proteomics. 2014;139(9):2513–26.

    Article  Google Scholar 

  49. Gotz S, Garcia-Gomez JM, Terol J, Williams TD, Nagaraj SH, Nueda MJ, et al. High-throughput functional annotation and data mining with the Blast2GO suite. Nucleic Acids Res. 2008;36(10):3420–35.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, et al. Gene ontology: tool for the unification of biology. Nat Genet. 2000;25(1):25–9.

    CAS  PubMed  Google Scholar 

  51. Kanehisa M, Goto S, Sato Y, Furumichi M, Tanabe M. KEGG for integration and interpretation of large-scale molecular data sets. Nucleic Acids Res. 2011;40(D1):D109–14.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Liu YW, Gong XD, Zhou QH, Liu YJ, Liu ZP, Han JM, et al. Comparative proteomic analysis reveals insights into the dynamic responses of maize (Zea mays L.) to Setosphaeria turcica infection. Plant Sci. 2021;304(110811).

  53. Bhandari SR, Lee MJ, Rhee HC, Choi GL, Oh SS, Lee JT, et al. Rapid monitoring of proline accumulation in paprika leaf sap relative to leaf position and water stress. Hortic Environ Biotechnol. 2018;59(4):483–9.

    Article  CAS  Google Scholar 

  54. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) method. Methods. 2001;25(4):402–8.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This work was supported by the National Natural Science Foundation of China (award No. 31960060, No. 31660114 and No. 31660066). The funding bodies didn’t participate in the design of the study, collection, analysis or interpretation of data and in writing the manuscript.

Author information

Authors and Affiliations

  1. College of Life Sciences, Ningxia University, Yinchuan, 750021, China

    Xiaoxu Li, Miaomiao Ding, Meng Wang, Shujuan Yang, Xiaorong Ma, Jinhong Hu, Fan Song, Lingxia Wang & Wenyu Liang

Authors
  1. Xiaoxu Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Miaomiao Ding
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Meng Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shujuan Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xiaorong Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Jinhong Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Fan Song
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Lingxia Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Wenyu Liang
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

XX. L was major writing contributor to the manuscript, MM. D was major contributor to analyzing data and text check. M. W and XR. M were contributors to acquire and organize data and make a preliminary interpretation to the data. SJ. Y, JH. H and F. S was contributor to drawing and continually modifying Figs. LX. W and WY. L were contributors to article modification and experimental design. All authors have read and approved the manuscript.

Corresponding authors

Correspondence to Lingxia Wang or Wenyu Liang.

Ethics declarations

Ethics approval and consent to participate

All the materials of this project are given by Yinchuan Botanical Garden (Yinchuan, China), and preserved in the School of Life Sciences, Ningxia University. The experimental research on plants performed in this study complies with institutional, national and international guidelines.

Consent for publication

Not applicable.

Competing interests

This manuscript has no financial or non-financial competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, X., Ding, M., Wang, M. et al. Proteome profiling reveals changes in energy metabolism, transport and antioxidation during drought stress in Nostoc flagelliforme. BMC Plant Biol 22, 162 (2022). https://doi.org/10.1186/s12870-022-03542-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12870-022-03542-8

Keywords

BMC Plant Biology

ISSN: 1471-2229

Contact us