Physiological and iTRAQ-based proteomic analyses reveal the function of exogenous γ-aminobutyric acid (GABA) in improving tea plant (Camellia sinensis L.) tolerance at cold temperature
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Internal γ-Aminobutyric Acid (GABA) interacting with stress response substances may be involved in the regulation of differentially abundant proteins (DAPs) associated with optimum temperature and cold stress in tea plants (Camellia sinensis (L.) O. Kuntze).
Tea plants supplied with or without 5.0 mM GABA were subjected to optimum or cold temperatures in this study. The increased GABA level induced by exogenous GABA altered levels of stress response substances – such as glutamate, polyamines and anthocyanins – in association with improved cold tolerance. Isobaric tags for relative and absolute quantification (iTRAQ) – based DAPs were found for protein metabolism and nucleotide metabolism, energy, amino acid transport and metabolism other biological processes, inorganic ion transport and metabolism, lipid metabolism, carbohydrate transport and metabolism, biosynthesis of secondary metabolites, antioxidant and stress defense.
The iTRAQ analysis could explain the GABA-induced physiological effects associated with cold tolerance in tea plants. Analysis of functional protein–protein networks further showed that alteration of endogenous GABA and stress response substances induced interactions among photosynthesis, amino acid biosynthesis, and carbon and nitrogen metabolism, and the corresponding differences could contribute to improved cold tolerance of tea plants.
KeywordsDifferentially abundant proteins Gene expression GABA shunt Metabolic pathway Carbon and nitrogen metabolism
1-Amino cyclopropane carboxylic acid oxidase
anthranilate synthase alpha subunit 1
NAD(P)-binding Rossmann-fold superfamily protein
Shalcone flavanone isomerase 1
Chorismate mutase 2
Differentially abundant proteins
Fructose-bisphosphate aldolase 2
Flavonol synthase 1
Gamma aminobutyrate transaminase
Glyceraldehyde-3-phosphate dehydrogenase B subunit
Glutamate dehydrogenase 3
Glutamate--glyoxylate aminotransferase 2-like
Glycine decarboxylase P-protein 2
Glutamine synthetase 1–4
Glutathione peroxidase 7
Glutathione S-transferase PHI 10
Glutathione S-transferase PHI 9
Isobaric tags for relative and absolute quantification
Cytosol aminopeptidase family protein
Monodehydroascorbate reductase 5, chlorplastic-like
S-adenosylmethionine synthetase 4
NADP-malic enzyme 4
Pyruvate dehydrogenase E1
Phosphoglycerate kinase precursor
phosphoric acid transporter
Peroxisomal NAD-malate dehydrogenase 1
Ribulose-1,5-bisphosphate carboxylase/oxygenase large subunit
Ribulose bisphosphate carboxylase small chain 2B
Reactive oxygen species
succinate dehydrogenase 1–1
Shikimate kinase 1
- TCA cycle
Tricarboxylic acid cycle
Tea is one of the most popular non-alcoholic beverages all over the world, and tea plants (Camellia sinensis (L.) O. Kuntze) are one of the most vital commercial crops in many countries such as China, India, Sri Lanka and Kenya . As an evergreen woody plant, tea is grown from tropical to subtropical areas. Tea plants continuously suffer from a wide variety of environmental stresses, including low temperature, which affects growth, survival and geographical distribution . Cold stress can easily disturb photosynthesis process which is the most important process required for plant production [3, 4]. Intensive studies have explored the molecular, cellular and physiological events that regulate the growth of tea plants and differentiation under cold stress [5, 6, 7]. For genetic engineering and plant breeding, it is vital to understand the mechanism for regulating tea plants’ growth under cold stress. Extensive molecular and genetic studies have greatly contributed to help us understand how plants survive and grow at low temperature. Various genes and metabolic pathways have been identified that function in enhancing cold tolerance. Well-known stress tolerance mechanisms including damage to membranes, GABA accumulation and its signaling pathways leading to osmotic adjustment, and other mechanisms associated with various secondary messengers, GABA also leads to transcriptional and post-transcriptional regulation [5, 7, 8]. Numerous genes encoding transcription factors and other metabolites related to cold stress have been reported and used for genetic engineering of plants with enhanced cold tolerance [9, 10]. Genome-wide analysis through transcriptomics and proteomics has been employed to illuminate events of some molecular types in environmental stress reaction, and the tea tree genome was sequenced very recently . Two dimensional electrophoresis and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry have been used to analyze drought stress and ABA-responsive proteins in tea plants . However, there is a lack of proteome analysis on tea plant response to low temperature.
GABA, a non-protein amino acid, is widely found in bacteria through yeasts to vertebrates, was detected in plants almost 60 years ago . In plant cells, there are two ways of GABA compound have been concretely depicted: through the GABA shunt pathway involving α-decarboxylation of glutamate from the chemical reactions of glutamate decarboxylase (GAD); and the degradation reaction of polyamines (PAs) from the chemical reactions of diamine oxidase (DAO) and polyamine oxidase (PAO). GABA is converted to another kind of molecule, succinic semialdehyde, through GABA transaminase (GABA-T) secondly, the oxidizing reaction of succinic semialdehyde to succinate and then entering the tricarboxylic acid (TCA) cycle. Thus alleviating mitochondrial electron transport chain for sufficient ATP production, and minimizing accumulation of hydrogen peroxide (H2O2) under abiotic stress . As a signal molecule, GABA also takes greatly effect in adjusting stress reactions [15, 16]. Song et al.  reported that GABA could led the alleviation of oxidative damage induced by proton and aluminum stresses on barley seedlings. Expression of genes involved in H2O2 generation could be regulated by GABA in Caragana intermedia roots under saline conditions . When tea plants experience low-temperature conditions, various mechanisms are invoked, including antioxidant capabilities, osmotic adjustment, photosynthetic rate reduction, and GABA accumulation . These processes involve expression of cold-responsive genes, many of which are regulated by GABA. However, it is largely unknown which proteins are regulated by GABA for tea plants subject to optimum and low temperatures.
In the present study, we investigated the tolerance mechanisms by GABA through physiological and iTRAQ-based proteomic analyses under optimum and low temperatures in tea plants. The results should guide agricultural planning and minimize tea yield reductions due to low temperatures in early spring. Our study also suggests that GABA could play a role in carbon and nitrogen metabolism under cold stress.
GABA, putrescine, spermidine, spermine, glutamate and standard amino acids were bought from ShangHai YuanYe Bio-technology co.Ltd. (Shanghai, China). All other reagents were of analytical grade.
Plant materials and treatments
One-year-old tea plants (C. sinensis cv. Longjingchangye) were cultivated in Nanjing Agricultural University. During the experiment, tea plants were well planted in a growth room with a photoperiod regimen composed of 14 h of light (25 °C, 200 μmol m− 2 s− 1, 75% humidity) and 10 h of dark (25 °C, 75% humidity). These tea plants had been grown up for 3 weeks in the nutritive medium introduced by Wan et al.  and after that, the plants were moved to a exposure to the four different ways of handling as explained below.
In preliminary experiments, the concentrations of GABA were 1.0, 3.0 and 5.0 mM. Then, 5.0 mM GABA was selected for this experiment according to free proline content. In the treatment (T1), tea plants were treated at 25 °C; in the treatment (T2), GABA was applicated into nutrient solution at 25 °C; in the treatment (T3), tea plants were treated at 4 °C; in the treatment (T4), GABA was applicated into nutrient solution at 4 °C. After 0, 4, 7 days, one bud and two or three leaves were picked and stored at − 80 °C. Physiological parameters were measured by 0, 4 and 7 days, and iTRAQ was measured by the day 7.
Extraction and analysis of peroxidase (POD), superoxide dismutase (SOD), and catalase (CAT)
Determination of free proline and MDA content
The method for extraction and analysis of free proline and MDA content were described by Wang et al. .
Determination of polyamines content
The method for extraction of free polyamines and analysis for HPLC were described by Liao et al. . The HPLC column (device) employed for polyamines determination is ACQUITY UPLC HSS T3 (100 mm × 2.1 mm × 1.8 μm).
Analysis of amino acid component contents
The method for extraction amino acid component were described by Zhao et al. , with slightly modified and analysis for amino acid analyzer.
DAO and PAO activity assay
DAO and PAO enzymes were extracted and the activity was determined using the method described by Hu et al. , with slight modifications. Plant leaves (0.5 g) were ground with mortar and pestle at 4 °C in 1.6 mL 0.1 M sodium phosphate buffer (pH 6.5) containing 5% PVP (w/v). Homogenates were centrifuged at 10, 000×g for 20 min at 4 °C. Reaction mixtures (3.0 mL) contained 2.5 mL 0.1 M sodium phosphate buffer (pH 6.5), 0.1 mL crude enzyme extracts, 0.1 mL peroxidase (250 U·mL− 1), and 0.2 mL 4-aminoantipyrine/N, N-dimethylaniline. 0.1 mL 20 mM putrescine and spermidine was added for the reaction initiation for DAO and PAO activity, respectively. One activity unit of the enzyme was set as a 0.01 change of absorbance at 555 nm.
GABA-T and GAD activity assay
The GABA-T and GAD enzymes were extracted and analyzed according to the method of Wang et al.  with slight modifications.
Measurement of chlorophyll a fluorescence transients OJIP and JIP-test and SPAD value
One-year-old tea plants with four to five new shoots were adapted in the dark for 1 h. Chlorophyll a fluorescence transient responses were measured by an analysis instrument of plant effect (Handy PEA fluorometer, Hansatech Instruments Ltd., UK). In this study, the method to summarize the formulae and interpretative statement of the record of the OJIP curves, and the well selected JIP-test parameters was represented by Chen . The SPAD values were managed with a SPAD meter ‘SPAD- 502’ (Konica Minolta, Japan) described by Wu et al. . The average SPAD values was regarded as the relative chlorophyll content.
Gene expression analysis
The method of RNA extraction, reverse transcription of cDNA, qRT-PCR analysis reactions and calculation of the relative expression levels were described by Liao et al.  The specific primer pairs used for qRT-PCR are listed in Additional file 1: Table S1. Let the C. sinensis β-actin gene as a reference as genetic type. All tests were made for three times in a same way with independent sample data.
Protein extraction, digestion, and iTRAQ labeling
Use tea leaf samples for protein extraction. Firstly, the 0.1 g frozen plant tissue was ground and then placed in a 10 ml tube containing 1 mL phenol extraction buffer and mix, and the sample was held at 25 °C for 10 min. Add 1 mL phenol saturated with Tris-HCl (pH 8.0), and shake the mixture for 40 min at 4 °C. Centrifuge the sample at 15,000 g at 4 °C for 30 min, then dissolve the dry pellet in extraction buffer, thoroughly mixed by vortex and then placed in cold 0.1 M ammonium acetate - methanol solution for 12 h at − 20 °C. Then use five volumes of the collected phenolic phase, centrifuge at 12000 g for 10 min at 4 °C, collect the sediment, repeat third times, at last dry it at room temperature for 2 min. After adding resuspend the sediment in 300 μL lysate solution at RT for 3 h, centrifuge at 12000 g for 10 min at RT, collect the supernatant, repeat one more time. The supernatant was the extracted protein solution. Store the sample at − 70 °C. Measurement of protein were performed by BCA method,  and the method of measuring the quality of the protein samples was described by SDS-PAGE gel electrophoresis . FASP method was used to digest protein . For each sample, dissolve 100 μg of total protein in 120 μL reducing buffer (10 mM DTT, 8 M Urea, 100 mM TEAB, pH 8.0). The samples were labeled with iTRAQ Reagent-4 plex Multiplex Kit (AB Sciex) after being reduced, alkylated, and trypsin-digested. Four samples were labeled with iTRAQ tags 113 (T1), 114 (T2), 115 (T3), and 116 (T4), with three biological replicates.
Mass spectrometry analysis
Use a Triple TOF 5600 mass spectrometer (SCIEX, USA) equipped with a Nanospray III source (SCIEX, USA) to perform all analyses. A capillary C18 trap column (3 cm × 100 μm) was used to loaded samples and then separate them by a C18 column (15 cm × 75 μm) on an Eksigent nanoLC-1D plus system (SCIEX, USA). The flow rate was 300 nL/min and linear gradient was 90 min (from 5 to 85% B over 67 min; mobile phase A = 2% ACN/0.1% FA and B = 95% ACN/0.1% FA).
Acquire data with a 2.4 kV ion spray voltage, 35 psi curtain gas, 5 psi nebulizer gas, and an interface heater temperature of 150 °C. The MS scanned between 400 and 1500 with an accumulation time of 250 ms. For IDA, 30 MS/MS spectra (80 ms each, mass range 100–1500) of MS peaks above intensity 260 and having a charge state of between 2 and 5 were acquired. Use a rolling collision energy voltage for CID fragmentation for MS/MS spectra acquisitions. Mass was dynamically excluded for 22 s.
Protein identification and quantification
For iTRAQ data analysis, the Protein Pilot 5.0 Software was performed against amino acid sequences (the number of entries is 133,689), which were further translated by the unigene in tea plant transcriptomics database (https://submit.ncbi.nlm.nih.gov/subs/sra/SUB4781815/overview). iTRAQ proteins with unique peptides (FDR < 1%) were corrected for further analysis. The differentially abundant proteins (DAPs) were identified on the basis of the ratios of differently labeled proteins (T2/T1, treated with 5 mM GABA under optimum temperature; T3/T1, treated under low temperature compared to that under optimum temperature; T4/T1, treated with 5 mM GABA under low temperature compared to that under optimum temperature; T4/T2, treated with 5 mM GABA under low temperature compared to that with 5 mM GABA under optimum temperature and T4/T3, treated with 5 mM GABA under low temperature compared to that under low temperature). And the following DAP filter criteria was performed: fold change of > 1.5 or < 0.67 and p value < 0.05.
Bioinformatics and annotations
For further functional analysis, search all the DAPs against UniProt Arabidopsis thaliana database. The best identity proteins were regarded as homologous (cut-off Evalue = 10− 10). Analyze gene ontology (GO) annotation with OmicsBean (http://www.omicsbean.cn/). The Kyoto Encyclopedia of Genes and Genomes (KEGG) database was employed to analyze the canonical biochemical pathways. Protein–protein interaction (PPI) networks was constructed on the basis of the STRING database  in order to better understanding on interaction functions of DAPs.
The mean SE of the three independent experiments was considered as each value. All data were analyzed by SPASS 20.0(Windows, USA). Use Duncan’s test and ANOVA to determine significance. A probability level of 5% (p < 0.05) was regarded as statistically significant.
Effect on endogenous GABA and glutamate contents
In the presence of exogenous GABA, endogenous GABA content increased stably under cold stress, reaching its peak at 49.03 mg·kg− 1 FW at day 7 – a roughly 49-fold increment relative to the untreated control at 0 h. However, the precursor glutamate content increased sharply during days 0–4 and then decreased gradually. The GABA and glutamate contents showed almost the same trend at optimum temperature, both increasing during days 0–4 and then decreasing gradually (Fig. 1). Endogenous GABA content in tea plants changed significantly with application of exogenous GABA compared to without, for the two different temperatures; however, endogenous glutamate content varied significantly only at optimum temperature on day 7 (Fig. 1).
SPAD value and analysis of tolerance by chlorophyll fluorescence transients and JIP-test
Fluorescence transient curves of leaves at optimum temperature showed a typical OJIP shape during days 0–7 without exogenous GABA. Cold treatments showed a much slower growth in the J-step level of the OJIP curves compared with optimum temperature. Conversely, exogenous GABA regardless of temperature led to a significant increase in the J-step level of OJIP curves compared to without GABA. Such sensitivity further confirmed that exogenous GABA improving cold tolerance in tea plants (Fig. 2). Leaf color had no significant change after 7 days with or without GABA, but the leaves were softer under the low temperature for 7 days while others were still hard with exogenous GABA.
Proteome analysis of leaves in response to treatments
GO and COG analyses of DAPs in response to exogenous GABA at normal and low temperature
Combined analysis of proteins involved in amino acid transport and contents
A cut off value of a 1.5-fold-change was employed to strictly assessment a protein as being responsive to T2/T1 compared with T4/T3. The results indicated that amino acid transport in treatments with exogenous GABA under optimum and low temperatures had different expression patterns in tea plants. Comparing treatments T3/T1 with T4/T1, the proteins Glycine-rich RNA-binding protein 2 (Q9SVM8), 3-phosphoshikimate 1-carboxyvinyltransferase (P05466), Enolase 1 (Q9C9C4) and Fructose-bisphosphate aldolase 3 (Q9ZU52) had the same expression patterns; and proteins Aldolase superfamily protein (F4IC59), Leucine aminopeptidase 2 (Q944P7), Thiol protease aleurain-like (Q8RWQ9), Reactive Intermediate Deaminase A (Q94JQ4), Proteasome subunit alpha type-2-B (Q8L4A7) showed no significant differences, but had lower expression in T4 than T3. No proteins showed great differences between treatments T4/T1 and T3/T1; and most of the amino acid transport proteins showed the opposite trend in treatments T4/T1 compared with T3/T1. These results indicated that exogenous GABA under cold stress could redirect amino acid transport toward stress response substances that could relieve stress from low temperature in tea plants. All of the amino acid transport proteins had opposite expression patterns between treatments T3/T1 and T4/T3, which indicated that there were different mechanisms relieving low-temperature stress with or without exogenous GABA at the protein level.
The amino acid contents were measured in the four treatments at 0, 4 and 7 days (Additional file 7: Table S7). Surprisingly, most amino acid contents in tea leaves with exogenous GABA at optimum temperature declined by day 7; However, those at low temperature increased immediately. These results also indicated that amino acid metabolism with exogenous GABA at optimum and low temperatures had completely different expression models. Serine and valine contents in tea leaves in the low compared to optimum temperature treatments declined at day 7 but the other amino acid contents rose. The results implied that application of exogenous GABA raised the amino acid contents and so strengthened plant resistance to low temperature. A previous study summarized GABA accumulates rapidly in stress tissue and might supply a key link for event chain that perceives physiological response from environmental pressure.  These results indicate that exogenous GABA may lead to transport of amino acids to take part in metabolic pathways to adapt to low temperature.
Interaction network analysis of response to exogenous GABA at low temperature
Physiological and proteomic mechanisms with different temperatures and exogenous GABA through GABA shunt
Plants have evolved complex mechanisms to deal with low temperature. When plants sense low temperature, a series of protective mechanisms are triggered – including decreasing malondialdehyde (MDA) content, which is considered to be an indicator of plant oxidative stress; synthesizing cryoprotectant molecules and low-molecular-weight nitrogenous compounds; and improving the scavenging activity of reactive oxygen species (ROS) [40, 41, 42]. In addition, chlorophyll fluorescence imaging can be employed to evaluate cold tolerance in numerous plants.  These alterations help plants keep a metabolic balance of substance and energy in cold environments. Under low temperature, tea plants adopted a ‘survival mode’ as shown by higher free proline content, decreased MDA content, regulating the antioxidant activity and reduced photosynthesis, resulting in growth arrest (Additional file 9: Figure S1 and Additional file 10: Figure S2). GABA can be quickly accumulated and is involved in adapting to low-temperature stress [44, 45]. However, in our study, the endogenous GABA content decreased when plants were exposed to low temperature. We speculate that endogenous GABA degraded to promote synthesis of other stress response substances and feedback to the TCA cycle at low temperature, which showed that other amino acid contents and the DAPs in the TCA cycle were up-regulated at low compared to optimum temperature.
The GABA metabolism in tea plants could regulate the GABA precursor glutamate and PAs contents to relieve anoxia stress in our previous study . No significant changes in GABA-T, GAD and DAO activities, Put and Spm levels for the two different temperatures compared to controls, while application of exogenous GABA. The PAO activity clearly decreased compared to control for optimum temperature at day 4, and the SPD concentration was higher at low temperature than the control (Additional file 11: Figure S3 and Additional file 12: Figure S4). The results imply that application of exogenous GABA can feed back to the TCA cycle to promote the carbon and nitrogen cycle. The amino acid contents except for alanine and lysine all declined (Additional file 7: Table S7). A reversible transformation of an amino acid from glutamic acid to pyruvic acid was catalyzed by alanine aminotransferase (AlaAT) form 2-oxoglutarate and alanine. The AlaAT-related protein (Q9S7E9) showed no significant change in treatment T2 compared to T1, which matched the report showing that AlaAT1 broke down excess alanine . Lysine is synthesized by a special branch of the family pathway of aspartic acid. Carbon atoms from lysine to acetyl coenzyme A, which then enters the TCA cycle, generatingα-ketoglutaric acid . These results imply that, at optimum temperature, application of exogenous GABA influenced the GABA level resulting in response of metabolism pathways to the alert in carbon and nitrogen transport.
The iTRAQ-based protein analysis was a great information-rich approach for hunting the stress-induced dynamic proteins; for pinning down the key metabolic pathways, it may play important roles in the response of improving resistance to low temperature in tea plants with application of exogenous GABA. The results indicated that application of exogenous GABA at low temperature compared to control profoundly changed metabolic pathways, including amino acids biosynthesis, flavonoid biosynthesis, glyoxylate and dicarboxylate metabolism, carbon fixation in photosynthetic organisms and the pentose phosphate pathway. These pathways included most of the DAPs in treatments T4/T3; however, pathways such as TCA cycle, glutathione metabolism, ascorbate and aldarate metabolism, and purine metabolism were also important. To our knowledge, this is the first report on dynamic proteomic responses to exogenous GABA application at low temperature in tea plants.
Flavonoid metabolism regulated with exogenous GABA at low temperature
Amino acid metabolism and ascorbate (AsA)/glutathione cycle and exogenous GABA at low temperature
The levels of GABA, proline, tryptophan, histidine, asparagine and alanine showed the greatest changes in abundance in response to GABA application at low temperature compared to control (Additional file 7: Table S7). Combining with the metabolome and proteome, we found no significant relation between them. There are few published studies of amino acid export in the xylem under saline conditions . After being treated with exogenous GABA at low temperature for 7 days, except for glycine, contents of all amino acids in leaves rose greatly.
Cell process and in vitro stress produce AsA, a step in the biosynthetic pathway of which is the catalysis of GDP-mannose-3′, 5′-diisomerase (GME) between GDP-galactose and GDP-mannose . Spinach L-galactose dehydrogenase (L-GalDH) show invertible inhibition by AsA, the final product of biosynthetic pathway . AsA peroxidase (APX) plays a main role in cellular H2O2 metabolism. GME, L-GalDH and leucyl amino peptidase had lower expression in tea plants, but APX, glutathione S-transferase and glutathione exhibited an opposite trend (Fig. 8a), which implied that exogenous GABA application might regulate AsA and glutathione metabolism by different mechanisms. Sensitive genes in amino acid metabolism and the AsA/glutathione cycle had their relative expressions determined using RT-qPCR (Fig. 8b) and these were consistent with the related DAPs.
TCA cycle, glyoxylate cycle and carbon fixation in photosynthetic organs and GABA shunt and exogenous GABA at low temperature
In addition, MDH participates in amino acid synthesis because of the reactions of malic acid, acetoacetic acid and aspartic acid . With the significant decrease in MDH and succinate dehydrogenase and increases in aspartic acid, the contents of threonine, isoleucine, lysine, alanine, valine and serine were elevated with exogenous GABA application at low temperature. It was reported that the levels of alanine, valine and serine were affected by the stimulation of elevated endogenous GABA under abiotic stresses: Bermuda grass under heat stress  and tobacco under salt . The GABA shunt was considered to be a part of the TCA cycle during respiration [67, 68, 69], which is also important in primary carbon and nitrogen metabolism . Increased GABA promoted the alanine substance accumulation, which entered the proline metabolism and TCA cycle. All amino acid contents except for glycine were increased by elevated GABA at low temperature, which suggested that GABA increased the carbon and nitrogen metabolism. However, the proteins related to the GABA shunt showed no significant changes, but the GABA precursors and the enzyme activity of GABA metabolism clearly changed.
Glyoxylate cycle was firstly discovered in microorganisms, which provided substrates for biosynthetic processes and respiration . In addition to lipids, glyoxylate cycle is another carbon source necessary for growth after germination . Most of the proteins involved in the glyoxylate cycle were down-regulated in response to low temperature with exogenous GABA compared to the control. Furthermore, the exogenous GABA could relieve the cold damage to photosystem II, which was crucial in carbon metabolic . There are many signaling molecules, such as nitrate, ammonium, sugar, amino acids and organic acids, also contain interactions between carbon and nitrogen metabolism . Nitrogen uptake and metabolism is contributed by carbon metabolism since it requires carbon skeletons, reducing power, ATP, reductants and co-transporters. [73, 75, 76, 77]. Their control may be closely linked and coordinated at the level of gene expression . However, only aminomethyl transferase and fructose-bisphosphate aldolases (FBAs) were up-regulated in the TCA cycle, glyoxylate and dicarboxylate metabolism, and carbon fixation in photosynthetic organisms in treatment T4 compared to T3. Fructose 1,6-bisphosphate aldolases, which are important in the Calvin-Benson cycle (CBC), were dramatically altered when tomato seedlings suffer from heat/cold stresses . This might imply that exogenous GABA application could improve photosynthesis to regulate low-temperature response through FBA expression and enzyme activity.
The above evidence suggests that, as a signal molecule, GABA regulates the glyoxylate cycle, the TCA cycle and carbon fixation in photosynthetic organ metabolism in a complex manner, especially in the carbon and nitrogen cycle. It will be interesting to establish how tea plants respond to low temperature via different mechanisms and how the signal molecule GABA influences the operating mechanisms. Several genes in the TCA cycle, glyoxylate cycle and carbon fixation in photosynthetic organisms had their relative expression determined by RT-qPCR (Fig. 9b) and the expression mode of genes was similar to the response of related DAPs.
Oxidative pentose phosphate pathway and purine metabolism and exogenous GABA at low temperature
The energy and metabolic intermediates in the biosynthesis are mainly derived from the pentose oxidation pathway. However, further details are needed on how the pathway and its effects on other processes in plants. Nitrate is the major source of nitrogen that plants need, and the location of nitrate assimilation significantly affect the plant energy budget . This implies that exogenous GABA application could affect the energy budget in tea plants. Only FBA in the oxidative pentose phosphate pathway was up-regulated in treatment T4 compared to T3 here. Lu et al.  reported that all FBA genes in Arabidopsis thaliana, except AtFBA6, were up-regulated in response to cold stress. The carbon skeleton of the amino acid synthesis pathway arises from different sectors of the respiratory pathway. Some root in the oxidative pentose phosphate pathway (or, in the light, the CBC) and glycolysis (Ery4P and PEP for the synthesis of aromatic amino acids), some stem from the final product of glycolysis (pyruvate for alanine) and other organic acids from the TCA cycle . For treatment T4 compared to T3, FBA was not only in glycolysis cycle but also in CBC, FBA2 and FBA3 genes were up-regulated, but the DAPs in the TCA cycle were down-regulated. Testing how the application of exogenous GABA in tea plants affects the respiration pathway of amino acid biosynthesis through reverse genetic pathway under low temperature, is further needed.
GABA effectively improved tea plant tolerance at low temperature and regulated various physio-biochemical processes at optimum condition, as reflected by higher SPAD value, chlorophyll fluorescence transients and membrane stability, as well as antioxidant activity regulation. The iTRAQ-based protein profiling offered a global road to show metabolic processes related to plant tolerance which was regulated by endogenous GABA at low temperature. Not only the transformation of endogenous GABA is further demonstrated in functional protein networks, but also is revealed in metabolism pathways, such as flavonoid metabolism, amino acid metabolism, AsA/glutathione cycle, TCA cycle, glyoxylate cycle, carbon fixation in photosynthetic organisms, oxidative pentose phosphate pathway and purine metabolism cause an interaction among plant cell components like chloroplasts, plastids and thylakoids. How GABA works as a signaling molecule involving in tea plants resistance regulation under cold stress, may be an interesting topic in the future work.
The authors would like to thank the reviewers for their valuable comments and suggestions to improve the quality of the manuscript.
This research was supported by The Fundamental Research Funds for the Central Universities (KYZ201842; KYZ201841), The National Natural Science Foundation of China (31870680), The Earmarked Fund for China Agriculture Research System (CARS-19), The earmarked fund for Jiangsu Agricultural Industry Technology System (JATS280), and Jiangsu Agriculture Science and Technology Innovation Fund (CX(17)2018). The Funding bodies had no influence over the experimental design, data analysis or interpretation, or manuscript writing.
Availability of data and materials
The data sets are included within the article and its Additional files.
XZ JL WF designed and conducted the experiments, JL XX YL FX JS BW YM YW analyzed the data, JL XZ drafted the manuscript, WF supervised the project. All authors have read and approved the final version of this manuscript.
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