Next Article in Journal
Combined Metabolomics and Transcriptomics Analysis of the Distribution of Flavonoids in the Fibrous Root and Taproot of Polygonatum kingianum Coll.et Hemsl
Previous Article in Journal
De Novo Pathogenic Variant in FBRSL1, Non OMIM Gene Paralogue AUTS2, Causes a Novel Recognizable Syndromic Manifestation with Intellectual Disability; An Additional Patient and Review of the Literature
Previous Article in Special Issue
Insights into Salinity Tolerance in Wheat
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Identification of Wheat Glutamate Synthetase Gene Family and Expression Analysis under Nitrogen Stress

1
School of Biological Science and Engineering, Hebei University of Science and Technology, Yuxiang Street 26, Shijiazhuang 050018, China
2
Hebei Key Laboratory of Plant Genetic Engineering, Institute of Biotechnology and Food Science, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang 050051, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Genes 2024, 15(7), 827; https://doi.org/10.3390/genes15070827
Submission received: 25 May 2024 / Revised: 16 June 2024 / Accepted: 18 June 2024 / Published: 22 June 2024
(This article belongs to the Special Issue Breeding and Genetics in Wheat)

Abstract

:
Nitrogen (N), as the main component of biological macromolecules, maintains the basic process of plant growth and development. GOGAT, as a key enzyme in the N assimilation process, catalyzes α-ketoglutaric acid and glutamine to form glutamate. In this study, six GOGAT genes in wheat (Triticum aestivum L.) were identified and classified into two subfamilies, Fd-GOGAT (TaGOGAT2s) and NADH-GOGAT (TaGOGAT3s), according to the type of electron donor. Subcellular localization prediction showed that TaGOGAT3-D was localized in mitochondria and that the other five TaGOGATs were localized in chloroplasts. Via the analysis of promoter elements, many binding sites related to growth and development, hormone regulation and plant stress resistance regulations were found on the TaGOGAT promoters. The tissue-specificity expression analysis showed that TaGOGAT2s were mainly expressed in wheat leaves and flag leaves, while TaGOGAT3s were highly expressed in roots and leaves. The expression level of TaGOGATs and the enzyme activity of TaGOGAT3s in the leaves and roots of wheat seedlings were influenced by the treatment of N deficiency. This study conducted a systematic analysis of wheat GOGAT genes, providing a theoretical basis not only for the functional analysis of TaGOGATs, but also for the study of wheat nitrogen use efficiency (NUE).

1. Introduction

Nitrogen (N) plays a key role in the anabolic process of proteins, nucleic acids, chlorophyll, hormones, and other substances that participate in the construction of living organisms [1]. Wheat, as one of the three major grain crops, currently covers about 200 million ha in the world, providing a lot of nutrition for people [2]. The use of N fertilizer is very important for increasing wheat yield, but it also places huge burdens on the environment such as soil acidification and water eutrophication [3]. It is estimated that around two-thirds of the N fertilizer used to grow cereals is wasted worldwide [4]. Improving the nitrogen use efficiency (NUE) of wheat can reduce the use of fertilizer, and reduce the production costs of farmers [5]. Therefore, it is of great significance to further study the mechanisms of N absorption, transport, and the metabolism of wheat, for alleviating human food needs and reducing environmental pollution.
Plant roots absorb inorganic N from the soil mainly in the form of nitrate (NO3) and ammonium (NH4+). Ammonium is the main inorganic N source for plant growth and development [6]. Plants take up ammonium in soil through ammonium transporter (AMT)-mediated transport pathway [7]. Nitrate in soil is absorbed by plants through two transport systems, the high-affinity and low-affinity transport systems (HATS and LATS); the selection of a transport pathway depends on its concentration in the soil [8]. Nitrate in plants can be reduced to form nitrite, and then ammonium is produced by the catalytic reaction of nitrite reductase [9,10]. Ammonium in plants can participate in the GS–GOGAT cycle, and the generation of glutamine and glutamate can be used to join in the biosynthesis of other amino acid derivatives, and ultimately participate in the growth and metabolism of plants [11,12].
According to the classification of electron donor types, GOGAT can be classified into two categories: NADH-GOGAT and Fd-GOGAT, which use reduced ferredoxin (Fd) and nicotinamide adenine dinucleotide (NADH) as electron donors, respectively [13]. Fd-GOGAT is a monomeric protein with a molecular weight ranging from 145 kDa to 180 kDa [14] and is highly expressed in photosynthetic tissues. Its activity can be significantly induced by light or exogenous sucrose [15,16]. NADH-GOGAT is a protein with a molecular weight of about 200 kDa and can be detected in the non-photosynthetic tissue of plants [13,15].
Many studies have demonstrated the function of GOGAT in plants. In rice, the phenotypic characteristics of the OsFd-GOGAT mutant plants showed chlorosis under natural conditions, and slight premature aging under low light treatment [17]. Overexpression of NADH-GOGAT (EC 1.4.1.14) in rice could increase the grain weight, and affect plant nitrogen-related utilization [18]. However, in corn, the NADH-GOGAT gene has the opposite effect. Overexpression of NADH-GOGAT gene influences shoot biomass accumulation. However, there are no significant effects on grain yield. Overexpression of NADH-GOGAT increases glutamate-derived amino acid contents and results in decreased concentrations of glusose-6-P, arabinose and fructose-6-P, which ultimately affect the generation of the C skeleton required for GOGAT synthesis. Finally, the primary carbon and N metabolism balance of maize is affected [19]. CRISPR/Cas9-mediated targeted mutagenesis of the Fd-GOGAT suppressor ARE1 (abnormal cytokinin response1 repressor1) [20], delayed senescence and increased wheat yield in the field [21].
GOGAT plays an important role in grain yield and quality by participating in key N metabolism processes. At present, many studies have been conducted on maize, rice, durum wheat, etc., but the related research on wheat is neither systematic nor in-depth. Therefore, in this study, bioinformatics was used to identify and analyze the members of the GOGAT gene family in bread wheat. The temporal and spatial expression patterns of TaGOGATs were analyzed by RT-qPCR in wheat seedlings under N deficiency treatment and different tissues of wheat under normal N concentrations at the filling stage. The enzyme activity in leaf and root tissues was analyzed under an N hunger treatment. Through the above analyses, a regulation model of wheat GOGAT under N stress was preliminarily studied.

2. Materials and Methods

2.1. Identification of TaGOGAT Gene Family Members

In this study, members of the wheat glutamate synthase gene family were identified by Hidden Markov Model (HMM) screening and BLAST comparison. Glutamate synthase gene family information files were downloaded from the Ensembl database (http://plants.ensembl.org/index.html (accessed on 12 January 2024)). The HMM file for the GOGAT conservative domain (PF01645) was obtained from the Pfam database (https://www.ebi.ac.uk/interpro (accessed on 13 March 2024)). The members of the TaGOGAT gene family were identified using HMMER 3.0 software. It has been reported that the GOGAT gene is highly conserved across species [22]. The gene sequences of three GOGATs (AT5G53460, AT5G04140, AT2G41220) from Arabidopsis and four GOGATs (KAI9392052, KAI9380114, KAI9384106, PNS99918) from Populus were downloaded from the NCBI (National Center for Biotechnology) database (https://www.ncbi.nlm.nih.gov/ (accessed on 13 March 2024)). The NCBI-BLAST method was used to search for the homologous proteins of GOGAT in wheat. The same proteins obtained by the two methods were taken as the preliminary identification results. Using the Batch CD—Web Search Tool (https://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi (accessed on 9 March 2024)) and SMART website (https://smart.embl.de/ (accessed on 9 March 2024)), six TaGOGAT gene family members were identified by removing the proteins that did not possess complete conserved domains. Information on the gene sequence, protein-coding sequence (CDS), amino acid sequence, gene position on chromosome, etc., was queried in the Ensembl database. The protein molecular weight, isoelectric point, hydrophobicity and instability coefficient were obtained through the ExPASy online analysis website (https://www.expasy.org/ (accessed on 14 March 2024)). The WoLF PSORT II website (https://www.genscript.com/ (accessed on 8 May 2024)) was used for subcellular localization prediction. The protein transmembrane structure was analyzed based on the TMHMM 2.0 website (https://www.healthtech.dtu.dk/ (accessed on 6 April 2024)). Chromosome location mapping was carried out by TBtools-II software v2.096.

2.2. Phylogenetic Tree Analysis of GOGAT and Ka/Ks Ratio Calculation

The amino acid sequences of TaGOGATs and its homologous genes in Arabidopsis and Populus were analyzed by MEGA 11. The optimal algorithm model was determined as WAG + G + I + F, the Bootstrap value was selected as 1000, and the maximum likelihood (ML) method was used for phylogenetic tree analysis. TBtools-II software plug-in (Simple Ka/Ks Calculator (NG)) was used to calculate the Ka/Ks ratio of the TaGOGATs gene, and Excel 2016 software was used to draw the scatter plot for the analysis of the selection pressure during the evolution process.

2.3. Conserved Motif Identification and Gene Structure Analysis

MEME 5.5.5 (https://meme-suite.org/meme/ (accessed on 27 March 2024)) was used to identify GOGAT conserved motifs in Arabidopsis, Populus and wheat (T. aestivum). The number of identified motifs was set to 10. Gene annotation files were downloaded from the Ensembl database. The Batch Web CD-Search Tool was used to obtain the information on the GOGAT protein conserved domain, and the gene structure map was drawn by TBtools-II software (Gene Structure View (Advanced)).

2.4. Collinearity Analysis of TaGOGATs Gene

The collinearity analysis plug-in (one Step MCScanX) of TBtools-II software was used to analyze the collinearity within species, based on the MCScanX algorithm kernel.

2.5. Prediction Analysis of Promoter Cis-Acting Elements

2 kb upstream sequence of GOGAT genes were downloaded from the Ensembl database, using the PlantCARE website (https://bioinformatics.psb.ugent.be/webtools/plantcare/html/ (accessed on 15 March 2024)) to predict the cis-acting elements of promoters. R language was used to draw heat maps to analyze the discrepancy in the type and number of cis-acting elements between different promoters.

2.6. TaGOGATs Amino Acid Sequence Alignment and Protein Tertiary Structure Analysis

The amino acid sequence alignment analysis of TaGOGATs was performed using the ESPript 3.0 website (https://espript.ibcp.fr/ESPript/cgi-bin/ESPript.cgi (accessed on 16 April 2024)). Using the SWISS-MODEL website (https://swissmodel.expasy.org/ (accessed on 5 May 2024)), the protein tertiary structure was predicted, and the optimal homologous protein model was found based on the homologous alignment method.

2.7. Plant Material and Gene Expression Analysis

The roots, stems, leaves, flag leaves and seeds of Chinese spring wheat at the filling stage were selected as samples for tissue-specific gene expression analysis. Wheat seeds with full grains and a relatively consistent size were selected and placed on the germination tray, kept in the dark for 2 days at 25 °C to permit germination, and then cultured under 16 h of light and 8 h of darkness for 4 days. After removing endosperm, the wheat seedlings were transferred to a 96-well plastic box (10.5 × 7 × 4 cm) and hydroponic with a modified Hoagland nutrient solution (Macro-nutrition: 1 mM KH2PO4, 4 mM CaCl2, 2 mM MgSO4·7 H2O, 5 mM KCl, 8 mM NH4NO3; Fe and Micro-nutrition was consistent with normal Hoagland solution, NH4NO3 as the only N source) for 3 days; ddH2O was used every day to ensure a constant volume of culture solution, and N deficiency culture was performed when they reached 2 leaves and 1 heart. The seedlings with similar growth were selected, and the root tissue was washed with ddH2O and dried with filter paper. Wheat seedlings were transferred to the modified Hoagland nutrient solution (exclude NH4NO3) for N starvation culture. Leaf and root tissues were collected after treatment for 0, 0.5, 1.0, 1.5, 2.0, 3.0, 6.0 and 24.0 h, respectively, as samples for TaGOGATs gene expression pattern analysis under N stress. All samples were frozen using liquid N after sampling, and stored at −80 °C. Each sample contained 4 biological replicates. Trizol reagent (Invitrogen, Waltham, MA, USA) was selected for total RNA extraction [23]. The NanoDrop 2000 (Thermo Scientific, Waltham, MA, USA) was used to determine the RNA concentration of the samples. A total of 1 μg RNA was taken from each sample for reverse transcription, and the reverse transcription reagent was HiScript RT SuperMix (Vazyme, Nanjing, China). The generated cDNA was used as the template for the RT-qPCR reaction. Each reaction system consisted of 10 μL SYBR qPCR Master Mix, 0.4 μL of forward primer, 0.4 μL of reverse primer, 1 μg of cDNA, and, finally, the volume was supplemented to 20 μL using ddH2O. The gene expression was analyzed using the ABI 7500 Real-Time PCR instrument (Applied Biosystems, Waltham, MA, USA), the RT-qPCR reaction process includes: 1. holding stage: 95 °C, 30 s; 2. cycling stage: each cycle contains 95 °C, 10 s; 60 °C, 30 s, total 40 cycles; 3. melt curve stage: 95 °C, 15 s; 60 °C, 60 s; 95 °C, 15 s. The quantitative reaction was carried out using Vazyme ChamQ Universal SYBR qPCR Master Mix (Vazyme, Nanjing, China). The primers used for the reaction were displayed in Table S1, and TaActin (wheat β-Actin gene [24]) was used as the internal reference gene [25]. The relative expression level of the target genes was calculated using the ΔΔCT method; the technique was repeated 3 times per sample.

2.8. Enzyme Activity Test

The samples were derived from leaf and root tissues in 2.7 and stored at −80 °C. The materials were fully ground using a mortar pre-cooled with liquid N, collected in a 2 mL EP tube, and NADH-GOGAT extract buffer was added (0.1 M phosphate buffer, pH = 7.5). The homogenate was centrifuged at 4 °C and 8000× g for 10 min. The supernatant was collected and the enzyme activity was determined using the NADH-GOGAT kit (GOGAT-2-Y) at 340 nm [26]. The Eppendorf Centrifuge-5810R and BECKMAN COULTER DU-640 nucleic acid and protein analyzer were utilized to handle and measure the absorbance values of the samples. The technique was repeated 3 times for each assay and were incorporated into the enzyme activity detection kit purchased from Comin Biotechnology Co. Ltd., Suzhou, China (http://www.cominbio.com/index.html (accessed on 10 May 2024)).

3. Results

3.1. Identification of TaGOGATs and Analysis of Gene Family Information

According to the Pfam code of the conserved domain (PF01645), two methods, HMM and BLAST, were used to query the members of TaGOGATs gene family. Six wheat glutamate synthase gene sequences were identified after screening. According to the chromosome positions and the type of electron donor, three of the genes annotated as Fd-GOGAT were named TaGOGAT2s (TaGOGAT2-A, TaGOGAT2-B, TaGOGAT2-D), and the other three NADH-GOGAT were named TaGOGAT3s (TaGOGAT3-A, TaGOGAT3-B, TaGOGAT3-D).
The physicochemical characteristics of TaGOGATs were analyzed. TaGOGATs with the same electron donor had similar characteristics. The molecular weight of the TaGOGAT2s was about 170,000 D, which was smaller than the 230,000 D of TaGOGAT3s. However, the molecular weight was reversed with the exon number, as TaGOGAT2s with a low molecular weight had more exons at 33 to 34 (Table 1). The instability coefficient analysis showed suggested that TaGOGAT3s had higher protein stability, while TaGOGAT2s was an unstable protein. Subcellular localization prediction showed that except for TaGOGAT3-D located in the mitochondria, the other five TaGOGATs were all located in chloroplasts. The results of the six TaGOGATs in terms of the protein isoelectric point, protein hydrophobicity, and transmembrane structure prediction manifested few differences; the isoelectric point ranged from 6.22 to 6.36, and all were hydrophilic proteins without a transmembrane domain (Table S2). These results indicate that TaGOGATs may have various biological functions.

3.2. Chromosome Localization Analysis of TaGOGATs

Common wheat was diploid (AA) in its ancestry, and after two natural hybridization and chromosome-doubling events in its evolutionary history, hexaploid wheat (AABBDD) was formed [27]. It contains 3 genomes (ABD), with a total of 21 chromosomes (Figure 1). Chromosome analysis showed that the six genes were located on the A, B and D genomes of chromosomes 2 and 3, respectively, and the relative positions of GOGAT genes with the same electron donor type were similar on chromosomes Chr 2A (TaGOGAT2-A), Chr 2B (TaGOGAT2-B), Chr 2D (TaGOGAT2-D), Chr 3A (TaGOGAT3-A), Chr 3B (TaGOGAT3-B) and Chr 3D (TaGOGAT3-D). The TaGOGATs gene family did not detect tandem and proximal duplication gene replication events.

3.3. Phylogenetic Tree Construction and Protein Conserved Motif Analysis of GOGAT

The phylogenetic tree of the wheat and the reported GOGATs (Fd-GOGATs and NADH-GOGATs) from Arabidopsis (Arabidopsis thaliana) and Populus (Populus trichocarpa) was constructed for the analysis of the phylogenetic relationships. The results showed that TaGOGAT3s were clustered in a clade with the NADH-GOGATs from the other two species. TaGOGAT2s were clustered to a separate branch, indicating that the interspecies relationship of Fd-GOGATs in wheat is far greater than that of NADH-GOGATs. Moreover, TaGOGAT2-A and TaGOGAT2-B, TaGOGAT3-A and TaGOGAT3-D were more closely related (Figure 2A). Amino acid conserved motifs analysis showed that each GOGAT had 10 complete conserved motifs in the same order (Figure 2B). Visual analysis of the gene structure showed that NADH-GOGATs had two domains, gltB and gltD, while Fd-GOGATs had only the gltB domain. TaGOGAT2-A and TaGOGAT2-B had 33 exons, and TaGOGAT2-D had 34 exons. TaGOGAT3-A, TaGOGAT3-B and TaGOGAT3-D only contained 23 exons (Figure 2C). Six GOGATs of wheat had complete conserved domains (Figure 2B,C).

3.4. Collinearity Analysis of TaGOGATs Genes

The Tbtools-II tool and MCScanX algorithm were used to explore the repetitive events of six TaGOGATs genes. The results showed that there are four collinear events in TaGOGATs, which are present on chromosomes 2B, 2D, 3A, 3B and 3D. TaGOGAT2-A did not have gene collinearity, while TaGOGAT3-A, TaGOGAT3-B and TaGOGAT3-D had gene collinearity events with each other (Figure 3). Repetitive events could be classified into 5 types according to gene replication types, which were tandem repeats, proximal repeats, transposed repeats, dispersed repeats, and single copies [28]. Both TaGOGAT2-B/D and TaGOGAT3s are transposed repeats, while TaGOGAT2-A is a dispersed repeat.

3.5. Ka/Ks Analysis of TaGOGATs

Six TaGOGAT genes were classified into two branches by phylogenetic tree constructing. In order to study the TaGOGATs gene evolution was affected by selection pressure or not, the ratio of non-synonymous replacement rate (Ka) to synonymous replacement rate (Ks) was calculated. The results showed that the six genes had significant differences in Ks values, ranging from 0.029552 to 0.066745 (Table 2). The Ka/Ks ratios were all much less than 1, indicating that the related genes undergo the purifying selection. In most cases, selection eliminated harmful mutations and kept the protein sequence stable (Figure 4).

3.6. Analysis of Cis-Acting Elements of TaGOGATs Gene Promoter

The cis-acting element is a DNA sequence on the promoter of genes that influences the gene expression. The 2kb upstream region from the GOGATs translation start site in wheat, Arabidopsis and Populus was analyzed for promoter cis-acting elements. The results showed that there was no obvious difference among species, but there was a significant discrepancy between TaGOGAT2-A and TaGOGAT2-B/D. The distribution regularity of cis-acting elements among TaGOGAT3-A, TaGOGAT3-B and TaGOGAT3-D is conservative, and the number of cis-acting elements in TaGOGAT3s is higher than that in TaGOGAT2s (Figure 5).
Many cis-acting elements related to hormone response, stress response, and developmental response processes were found in the promoter of GOGAT genes. Hormone response elements include abscisic acid response element (ABRE), auxin response element (TGA-element), gibberellin response element (P-box/GARE-motif), jasmonic acid response element (TGACG-motif/CGTCA-motif) and salicylic acid response element (TCA-element). Stress response related elements containing hypoxia-induced response elements (ARE/GC-motif), low-temperature response elements (LTR), drought-induced response elements (MYB binding site, MBS), light response dependent elements (AE-box/ACE/Gap-box/TCTmotif/TCCC-motif/GATA-motif/I-box/Sp1/Box4/G-Box). The TaGOGATs promoter region also contains several zein metabolic regulatory elements (O2-site), which are involved in plant biosynthesis and developmental related biological processes. The number of ABRE, G-box and sp1 in TaGOGAT3s promoters is obviously higher than that of other binding components, while the number of ARE binding components is higher in TaGOGAT2 promoters compared with other promoters (Figure 6). In conclusion, the prediction results of TaGOGATs cis-acting elements indicate that TaGOGAT may be involved in biological metabolic processes such as growth and development, hormone response, and the stress response of wheat.

3.7. Multiple Amino Acid Sequences Analysis of TaGOGATs

The conserved sequences and functional regions of six TaGOGATs in wheat were analyzed. The results show that the six GOGAT proteins had high homology (Figure S1). The conserved binding regions have been reported in Populus GOGAT proteins [22], andcould also be found in TaGOGATs. A putative FMN-binding region (Figure S1B) and a putative [3Fe-4S] cluster-binding region were included in all proteins (Figure S1C). The putative NAD(P)H-binding regions was only contained in three NADH-GOGATs (Figure S1D).

3.8. Secondary and Tertiary Structure Characteristics Prediction of TaGOGAT Proteins

The tertiary structure model of TaGOGAT proteins was predicted by AFDB search and the AlphaFold v2 algorithm. The results showed that the optimal TaGOGAT2s template was Q69RJ0.1.A (Ferredoxin-dependent glutamate synthase). A Seq identity score greater than 90 indicated that the model had high homology with the comparison protein, and a global model quality estimate score (GMQE) greater than 0.9 indicated high data reliability (Figure 7A,B). Q9LV03.1.A (Glutamate synthase 1 [NADH]) was the optimal TaGOGAT3s template, with a Seq identity greater than 78 and a GMQE greater than 0.8 (Figure 7C,D). The PDB file of the optimal homology model for protein secondary structure analysis of TaGOGAT was downloaded on the ESPript 3.0 website. The results showed that the secondary structure characteristics of TaGOGAT2s were similar. This situation also existed in TaGOGAT3s (Table S3), which further verified the rationality of protein tertiary structure analysis at the level of the secondary structure.

3.9. Expression Patterns Analysis of TaGOGATs in Different Tissues

To study the expression patterns of TaGOGATs in different tissues of wheat, RNA was extracted from the roots, stems, leaves, flag leaves and seeds of wheat at the filling stage, and the TaGOGATs expression level was analyzed by RT-qPCR. As TaGOGATs gene sequences located on the same chromosome are highly similar, two pairs of primers were designed to detect the gene expression levels of Fd-GOGATs located on chromosome 2 and NADH-GOGATs located on chromosome 3, respectively (Table S1). The results showed that TaGOGATs were expressed in different tissues of wheat. The TaGOGAT2s gene was mainly expressed in leaves and flag leaves, and was the lowest in seeds (Figure 8A). The TaGOGAT3s gene had the lowest gene expression level in seeds. The relative expression level of TaGOGAT3s in leaves was slightly higher than that in the root tissues, but it was not significant (Figure 8B). The results were similar to that in other species [22].

3.10. The Expression Analysis of TaGOGATs in Different Tissues of Wheat Seedling under N Deficiency Treatment

TaGOGAT is one of the key enzymes in the wheat N metabolism pathway. In this study, RT-qPCR technology was used to analyze the changes in TaGOGATs gene expression levels in the root and leaf tissues of wheat seedlings under different N deficiency treatment times. The results showed that the expression of TaGOGATs gene was affected by the N hungry condition. In wheat root tissues, the expression level of TaGOGAT2s was upregulated by N deficiency induction, and induced to the highest level at 0.5 h, then gradually decreased to the pre-treatment level (0 h) at 6 h (Figure 9A). The TaGOGAT3s gene expressions were downregulated, but there were no significant changes at 0.5 h (Figure 9B). In leaf tissues, the relative expression level of TaGOGAT2s slightly increased at 0.5 h, then decreased, and suddenly reached a higher level at 24 h (Figure 9C). For TaGOGAT3s, the relative expression level gradually increased to the highest level at 1.5 h, and then decreased little by little, but was still higher than that in the pre-treatment level (Figure 9D). Overall, TaGOGATs could participate in the regulatory response of wheat N stress.

3.11. Analysis of TaGOGATs Enzyme Activity in Wheat Seedling Stage

The tissue-specific analysis of TaGOGATs showed that TaGOGAT3s can be expressed in different wheat tissue. The enzyme activity analysis showed that the enzyme activity in wheat root tissues was less affected by N stress, and suddenly decreased at 3 h, and then quickly recovered (Figure 10A). In leaf tissues, the change trend of TaGOGAT3s’ enzyme activity declined at 0.5 h, followed by a slightly increase with the increase in treatment, and then decreased at 3 and 6 h, and finally increasing to a high level at 24 h (Figure 10B).

4. Discussion

Currently, the GOGAT gene family were identified [22,29] in Populus and Arabidopsis species. Two Fd-GOGAT (AT5G04140, AT2G41220) and one NADH-GOGAT (AT5G53460) were identified in Arabidopsis. The poplar GOGAT gene family contains two Fd-GOGAT (KAI9392052, KAI9380114) and two NADH-GOGAT (KAI9384106, PNS99918). In wheat, six GOGAT genes were distinguished, which were located on chromosome 2 and chromosome 3, respectively. (Figure 2A). Through gene structure analysis, it was found that GOGAT of the same electron donor type had a similar domain distribution pattern. TaGOGAT2s contains only one gltB-conserved domain, while TaGOGAT3s contains gltB- and gltD-conserved domains, indicating that the two types of GOGAT may have biological functional diversity due to their different protein spatial structures (Figure 2C). Similar structures were found in Arabidopsis and Populus GOGAT genes. The gltB gene encodes the α subunit of GOGAT, and gltD is involved in encoding the β subunit [30]. Studies have shown that gltB and gltD are very important for maintaining GOGAT protein biological activity. gltB mutants of Escherichia coli are unable to utilize substances, such as proline and glycine, as the sole N source [31], and mutations of this gene in pea bacteroid RU2307 lead to an increase in the intracellular Gln: Glu ratio. Two amino acid uptake systems (Aap and Bra), both ABC-types, were inhibited [32]. The gltD gene mutants also showed similar characteristics. The gltD::Tn5 mutant of Bradyrhizobium ORS285 could not use ammonium, nitrate, and many amino acids as N sources for its growth, and could not undergo the N fixation reaction under natural conditions [33].
These results suggest that the function of GOGAT is relatively conservative among species. By evolutionary tree analysis of 13 species, including prokaryotes and eukaryotes, Cao et al. found that only prokaryotes contain Fd-GOGAT, and then speculated that, in the evolutionary history of GOGAT, Fd-GOGAT appeared first, and the emergence of NADH-GOGAT resulted in functional differentiation [22]. Four GOGATs have been identified in Populus, and subcellular localization predictions show that they are all located in chloroplasts. Two of these proteins depend on Fd as electron donors, and the other two proteins have NADH. Interestingly, subcellular localization prediction analysis showed that TaGOGAT3-D were located in mitochondria, and the remaining five TaGOGAT proteins were all in chloroplasts, which may indicate that they were involved in different biological reactions. The Ka/Ks ratio between wheat gene pairs was found to be much less than 1 through gene analysis, indicating that TaGOGATs were subjected to purification selection in the evolutionary process, which also indicated that TaGOGATs were highly conserved, consistent with the previous conclusions (Figure 4). Analysis of cis-acting elements of gene promoters showed that TaGOGATs contained many different types of acting elements (Figure 5). For example, TaGOGAT3s contained several gibberellin-responsive elements (P-box, GARE-motif), indicating that it may be involved in gibberellin response regulating (Figure 6). In order to analyze the effects of abscisic acid (ABA), gibberellanic acid (GA3) and other hormones on the expression levels of two Fd-GOGAT (GLU1 and GLU2) and one NADH-GOGAT(GLT1) in Arabidopsis, Arabidopsis seedlings treated with different hormone concentrations were analyzed. The results showed that, except for GLU2, GA3 enhanced the expression of other genes in shoots [34]. This is consistent with our analysis. Through amino acid sequence comparison analysis, it was found that the amino acid sequence of TaGOGAT with the same electron donor type was highly consistent (Figure S1); the spatial structure analysis of the proteins also led to the same conclusion (Figure 7). The FMN-binding sites and [3Fe-4S] cluster-binding regions were contained in all six TaGOGAT proteins. TaGOGAT3s included other predicted NAD(P)H binding sites. These binding sites have also been reported in Populus GOGAT-related studies [22], and the difference in the protein domain reflects the difference of its biological reaction process.
The GS/GOGAT cycle participates in plant N assimilation. Six GOGAT genes were isolated in bread wheat by the partial barley sequence [35] and NADH-GOGAT rice genome sequence [36], which were located on wheat chromosomes 2 and 3, respectively. The expression levels of NADH-GOGAT, except for NADH-GOGAT-3D, in durum wheat were correlated with grain protein content [37]. NADH-GOGAT, located on wheat chromosomes 3A and 3B, were identified as a major candidate for NUE by meta-QTL. NO3 and NH4+ are the main forms of inorganic N absorbed by plants, and their ion concentration and morphology could influence the expression of plant GOGAT genes. NADH-GOGAT (OsGlt1 and OsGlt2) were mainly expressed in rice root tissues under N-restricted treatment, but in leaves under unrestricted conditions [38]. The expression and activity of GOGAT and GS could be regulated by the ratio of ammonium–nitrogen, and the relationship between them showed a significant positive correlation [39]. Both high and low concentrations of NH4+ could inhibit the expression of GOGAT gene. High NH4+ concentrations could produce toxicity and inhibit the N assimilation process [40]. Many studies have shown that Fd-GOGAT is mainly expressed in photosynthetic tissues, while NADH-GOGAT is expressed in non-photosynthetic plastid tissues [41]. The transcription levels of six GOGAT genes in wheat roots, stems, leaves, flag leaves and seeds were tested; it was shown that TaGOGAT2s were mainly expressed in leaves, while TaGOGAT3s were highly expressed in roots (Figure 8). GOGAT gene expression in wheat seedlings had been detected under N deficiency treatment. It was found that the expression level of TaGOGAT2s in root tissues increased first, induced by N deficiency, and then decreased, and that it was the highest at 0.5 h and decreased to the pre-treatment level at 24 h (Figure 9A). This pattern can also be observed in the regulation of TaGOGAT3s gene expression in leaf tissues, with the highest transcription level at 1.5 h followed by a gradual decrease thereafter (Figure 9C).
However, the transcription levels of TaGOGAT3s in wheat root tissues showed an overall downward trend (Figure 9B). It was reported that plant hormone abscisic acid (ABA) could enhance the bioactivity of GS and GOGAT, thereby reducing NH4+ accumulation and cellular oxidative damage [42]. TabZIP60 could bind to the ABRE elements on the TaNADH-GOGAT-3B promoter and negatively regulate its expression [43]. ABA-responsive cis-acting elements (ABRE) were found in all gene promoters except TaGOGAT2-B (Figure 5 and Figure 6). However, GOGAT was the highly tissue-specific gene. Thus, the down-regulated expression of TaGOGAT3s in root tissues under N deficiency conditions may be related to the recovery of NH4+ concentrations in plants. Enzyme activity in TaGOGAT2s is highly correlated with light source and external sucrose induction [44]. The effect of N starvation induction on enzyme activity in TaGOGAT3s in wheat leaf and root tissues were studied. Enzyme activity analysis showed that the enzyme activity in TaGOGAT3s in wheat leaf tissue was significantly negatively regulated (Figure 10B). However, in wheat root tissues, the change in enzyme activity level was less affected by N stress (Figure 10A). Balotf et al. found that gene expression and enzyme activity in GOGAT were inhibited in wheat leaf tissue after 7 days of cultivation under nitrogen-starved conditions [45].

5. Conclusions

As one of the basic elements of an organism, N is very important for the growth and metabolism of wheat. GOGAT, as a key enzyme in the process of plant N assimilation, affects wheat N absorption efficiency. In this study, we identified the TaGOGATs gene family through bioinformatics analysis and identified a total of six genes, which were located on chromosomes 2 and 3. TaGOGAT2s was mainly expressed in leaves and flag leaves, while TaGOGAT3s was mainly expressed in roots and leaves. the expression of the GOGATs gene could be induced in leaves and roots under the treatment of N deficiency. Enzyme activity in TaGOGAT3s in wheat leaf tissues was significantly affected by N deficiency stress, and the regulation mechanism of enzyme activity in leaf and root tissue may be different. This paper provides a systematic approach for TaGOGAT gene family analysis. The research results indicate that TaGOGAT may participate in regulating wheat NUE.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/genes15070827/s1, Table S1: RT-PCR Primer sequence; Table S2: Information of wheat glutamate synthase family members; Table S3: The number of the secondary structure type in TaGOGAT proteins. Figure S1: Amino acid sequence alignment of wheat glutamate synthase TaGOGATs.

Author Contributions

S.Z. and P.G. designed the experiments and revised the manuscript; S.L. and B.J. wrote the manuscript; J.W., P.Z. and F.D. prepared the plant materials and performed the experiment; F.Y. and C.M. performed the data analysis. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the HAAFS Agriculture Science and Technology Innovation Project [2022KJCXZX-SSS-4].

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article or the Supplementary Materials.

Acknowledgments

We thank all the authors for their suggestions and hard work on the manuscript.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Li, H.; Hu, B.; Chu, C. Nitrogen use efficiency in crops: Lessons from Arabidopsis and rice. J. Exp. Bot. 2017, 68, 2477–2488. [Google Scholar] [CrossRef]
  2. Zorb, C.; Ludewig, U.; Hawkesford, M.J. Perspective on Wheat Yield and Quality with Reduced Nitrogen Supply. Trends Plant Sci. 2018, 23, 1029–1037. [Google Scholar] [CrossRef] [PubMed]
  3. Liu, X.; Hu, B.; Chu, C. Nitrogen assimilation in plants: Current status and future prospects. J. Genet. Genom. 2022, 49, 394–404. [Google Scholar] [CrossRef] [PubMed]
  4. Hawkesford, M.J. Genetic variation in traits for nitrogen use efficiency in wheat. J. Exp. Bot. 2017, 68, 2627–2632. [Google Scholar] [CrossRef] [PubMed]
  5. Yang, H.; Fang, C.; Li, Y.; Wu, Y.; Fransson, P.; Rillig, M.C.; Zhai, S.; Xie, J.; Tong, Z.; Zhang, Q.; et al. Temporal complementarity between roots and mycorrhizal fungi drives wheat nitrogen use efficiency. New Phytol. 2022, 236, 1168–1181. [Google Scholar] [CrossRef]
  6. Liu, Y.; von Wirén, N. Ammonium as a signal for physiological and morphological responses in plants. J. Exp. Bot. 2017, 68, 2581–2592. [Google Scholar] [CrossRef]
  7. Ludewig, U.; Neuhäuser, B.; Dynowski, M. Molecular mechanisms of ammonium transport and accumulation in plants. FEBS Lett. 2007, 581, 2301–2308. [Google Scholar] [CrossRef] [PubMed]
  8. Islam, M.S. Nitrate transport in plant through soil-root-shoot systems: A molecular view. J. Plant Nutr. 2022, 45, 1748–1763. [Google Scholar] [CrossRef]
  9. Scheible, W.-R.; Gonzalez-Fontes, A.; Lauerer, M.; Muller-Rober, B.; Caboche, M.; Stitt, M. Nitrate acts as a signal to induce organic acid metabolism and repress starch metabolism in tobacco. Plant Cell 1997, 9, 783–798. [Google Scholar] [CrossRef]
  10. Yoneyama, T.; Suzuki, A. Exploration of nitrate-to-glutamate assimilation in non-photosynthetic roots of higher plants by studies of 15N-tracing, enzymes involved, reductant supply, and nitrate signaling: A review and synthesis. Plant Physiol. Biochem. 2019, 136, 245–254. [Google Scholar] [CrossRef]
  11. Chichkova, S.; Arellano, J.; Vance, C.P.; Hernández, G. Transgenic tobacco plants that overexpress alfalfa NADH-glutamate synthase have higher carbon and nitrogen content. J. Exp. Bot. 2001, 52, 2079–2087. [Google Scholar] [CrossRef] [PubMed]
  12. Brauer, E.K.; Rochon, A.; Bi, Y.M.; Bozzo, G.G.; Rothstein, S.J.; Shelp, B.J. Reappraisal of nitrogen use efficiency in rice overexpressing glutamine synthetase1. Physiol. Plant. 2011, 141, 361–372. [Google Scholar] [CrossRef] [PubMed]
  13. Suzuki, A. Glutamate synthase and amino acid synthesis in higher plants. In Advances in Botanical Research; Elsevier: Amsterdam, The Netherlands, 2021; Volume 100, pp. 129–144. [Google Scholar]
  14. Van Den Heuvel, R.H.; Ferrari, D.; Bossi, R.T.; Ravasio, S.; Curti, B.; Vanoni, M.A.; Florencio, F.J.; Mattevi, A. Structural studies on the synchronization of catalytic centers in glutamate synthase. J. Biol. Chem. 2002, 277, 24579–24583. [Google Scholar] [CrossRef] [PubMed]
  15. Bowsher, C.G.; Lacey, A.E.; Hanke, G.T.; Clarkson, D.T.; Saker, L.R.; Stulen, I.; Emes, M.J. The effect of Glc6P uptake and its subsequent oxidation within pea root plastids on nitrite reduction and glutamate synthesis. J. Exp. Bot. 2007, 58, 1109–1118. [Google Scholar] [CrossRef] [PubMed]
  16. Potel, F.; Valadier, M.H.; Ferrario-Méry, S.; Grandjean, O.; Morin, H.; Gaufichon, L.; Boutet-Mercey, S.; Lothier, J.; Rothstein, S.J.; Hirose, N. Assimilation of excess ammonium into amino acids and nitrogen translocation in Arabidopsis thaliana–roles of glutamate synthases and carbamoylphosphate synthetase in leaves. FEBS J. 2009, 276, 4061–4076. [Google Scholar] [CrossRef] [PubMed]
  17. Zeng, D.-D.; Qin, R.; Li, M.; Alamin, M.; Jin, X.-L.; Liu, Y.; Shi, C.-H. The ferredoxin-dependent glutamate synthase (OsFd-GOGAT) participates in leaf senescence and the nitrogen remobilization in rice. Mol. Genet. Genom. 2016, 292, 385–395. [Google Scholar] [CrossRef]
  18. Yamaya, T.; Obara, M.; Nakajima, H.; Sasaki, S.; Hayakawa, T.; Sato, T. Genetic manipulation and quantitative-trait loci mapping for nitrogen recycling in rice. J. Exp. Bot. 2002, 53, 917–925. [Google Scholar] [CrossRef]
  19. Cañas, R.A.; Yesbergenova-Cuny, Z.; Belanger, L.; Rouster, J.; Brulé, L.; Gilard, F.; Quilleré, I.; Sallaud, C.; Hirel, B. NADH-GOGAT Overexpression Does Not Improve Maize (Zea mays L.) Performance Even When Pyramiding with NAD-IDH, GDH and GS. Plants 2020, 9, 130. [Google Scholar] [CrossRef]
  20. Wang, Q.; Nian, J.; Xie, X.; Yu, H.; Zhang, J.; Bai, J.; Dong, G.; Hu, J.; Bai, B.; Chen, L.; et al. Genetic variations in ARE1 mediate grain yield by modulating nitrogen utilization in rice. Nat. Commun. 2018, 9, 735. [Google Scholar] [CrossRef]
  21. Zhang, J.; Zhang, H.; Li, S.; Li, J.; Yan, L.; Xia, L. Increasing yield potential through manipulating of an ARE1 ortholog related to nitrogen use efficiency in wheat by CRISPR/Cas9. J. Integr. Plant Biol. 2021, 63, 1649–1663. [Google Scholar] [CrossRef]
  22. Cao, L.; Xu, C.; Sun, Y.; Niu, C.; Leng, X.; Hao, B.; Ma, J.; Liu, Z.; Xu, Z.; Yang, C. Genome-wide identification of glutamate synthase gene family and expression patterns analysis in response to carbon and nitrogen treatment in Populus. Gene 2023, 851, 146996. [Google Scholar] [CrossRef] [PubMed]
  23. Han, Z.; Liu, Y.; Deng, X.; Liu, D.; Liu, Y.; Hu, Y.; Yan, Y. Genome-wide identification and expression analysis of expansin gene family in common wheat (Triticum aestivum L.). BMC Genom. 2019, 20, 101. [Google Scholar] [CrossRef] [PubMed]
  24. Huang, X.; Wang, G.; Shen, Y.; Huang, Z. The wheat gene TaST can increase the salt tolerance of transgenic Arabidopsis. Plant Cell Rep. 2012, 31, 339–347. [Google Scholar] [CrossRef] [PubMed]
  25. Parveen, S.; Ranjan, R.K.; Anand, A.; Singh, B. Combined deficiency of nitrogen and iron increases senescence induced remobilization of plant immobile iron in wheat. Acta Physiol. Plant. 2018, 40, 211. [Google Scholar] [CrossRef]
  26. Rizwan, M.; Mostofa, M.G.; Ahmad, M.Z.; Zhou, Y.; Adeel, M.; Mehmood, S.; Ahmad, M.A.; Javed, R.; Imtiaz, M.; Aziz, O. Hydrogen sulfide enhances rice tolerance to nickel through the prevention of chloroplast damage and the improvement of nitrogen metabolism under excessive nickel. Plant Physiol. Biochem. 2019, 138, 100–111. [Google Scholar] [CrossRef] [PubMed]
  27. Pont, C.; Leroy, T.; Seidel, M.; Tondelli, A.; Duchemin, W.; Armisen, D.; Lang, D.; Bustos-Korts, D.; Goué, N.; Balfourier, F.; et al. Tracing the ancestry of modern bread wheats. Nat. Genet. 2019, 51, 905–911. [Google Scholar] [CrossRef] [PubMed]
  28. Qiao, X.; Li, Q.; Yin, H.; Qi, K.; Li, L.; Wang, R.; Zhang, S.; Paterson, A.H. Gene duplication and evolution in recurring polyploidization–diploidization cycles in plants. Genome Biol. 2019, 20, 38. [Google Scholar] [CrossRef] [PubMed]
  29. Masclaux-Daubresse, C.l.; Reisdorf-Cren, M.l.; Pageau, K.; Lelandais, M.; Grandjean, O.; Kronenberger, J.; Valadier, M.-H.l.n.; Feraud, M.; Jouglet, T.; Suzuki, A. Glutamine Synthetase-Glutamate Synthase Pathway and Glutamate Dehydrogenase Play Distinct Roles in the Sink-Source Nitrogen Cycle in Tobacco. Plant Physiol. 2006, 140, 444–456. [Google Scholar] [CrossRef] [PubMed]
  30. Beckers, G.; Nolden, L.; Burkovski, A. Glutamate synthase of Corynebacterium glutamicum is not essential for glutamate synthesis and is regulated by the nitrogen status. Microbiology 2001, 147, 2961–2970. [Google Scholar] [CrossRef]
  31. Pahel, G.; Zelenetz, A.; Tyler, B. gltB gene and regulation of nitrogen metabolism by glutamine synthetase in Escherichia coli. J. Bacteriol. 1978, 133, 139–148. [Google Scholar] [CrossRef]
  32. Mulley, G.; White, J.P.; Karunakaran, R.; Prell, J.; Bourdes, A.; Bunnewell, S.; Hill, L.; Poole, P.S. Mutation of GOGAT prevents pea bacteroid formation and N2 fixation by globally downregulating transport of organic nitrogen sources. Mol. Microbiol. 2011, 80, 149–167. [Google Scholar] [CrossRef] [PubMed]
  33. Nouwen, N.; Chaintreuil, C.; Fardoux, J.; Giraud, E. A glutamate synthase mutant of Bradyrhizobium sp. strain ORS285 is unable to induce nodules on Nod factor-independent Aeschynomene species. Sci. Rep. 2021, 11, 20910. [Google Scholar] [CrossRef] [PubMed]
  34. Dragicevic, M.; Simonovic, A.; Bogdanovic, M.; Subotic, A.; Ghalawenji, N.; Dragicevic, I.; Todorovic, S. Differential regulation of GS-GOGAT gene expression by plant growth regulators in Arabidopsis seedlings. Arch. Biol. Sci. 2016, 68, 399–404. [Google Scholar] [CrossRef]
  35. Yin, T.; Nigro, D.; Blanco, A.; Anderson, O.D.; Gadaleta, A. Characterization of Ferredoxin-Dependent Glutamine-Oxoglutarate Amidotransferase (Fd-GOGAT) Genes and Their Relationship with Grain Protein Content QTL in Wheat. PLoS ONE 2014, 9, e103869. [Google Scholar]
  36. Kashkush, K.; Nigro, D.; Gu, Y.Q.; Huo, N.; Marcotuli, I.; Blanco, A.; Gadaleta, A.; Anderson, O.D. Structural Analysis of the Wheat Genes Encoding NADH-Dependent Glutamine-2-oxoglutarate Amidotransferases and Correlation with Grain Protein Content. PLoS ONE 2013, 8, e73751. [Google Scholar]
  37. Nigro, D.; Fortunato, S.; Giove, S.L.; Mangini, G.; Yacoubi, I.; Simeone, R.; Blanco, A.; Gadaleta, A. Allelic variants of glutamine synthetase and glutamate synthase genes in a collection of durum wheat and association with grain protein content. Diversity 2017, 9, 52. [Google Scholar] [CrossRef]
  38. Zhao, X.-Q.; Shi, W.-M. Expression analysis of the glutamine synthetase and glutamate synthase gene families in young rice (Oryza sativa) seedlings. Plant Sci. 2006, 170, 748–754. [Google Scholar] [CrossRef]
  39. Zhang, J.; Lv, J.; Xie, J.; Gan, Y.; Coulter, J.A.; Yu, J.; Li, J.; Wang, J.; Zhang, X. Nitrogen Source Affects the Composition of Metabolites in Pepper (Capsicum annuum L.) and Regulates the Synthesis of Capsaicinoids through the GOGAT–GS Pathway. Foods 2020, 9, 150. [Google Scholar] [CrossRef]
  40. Lu, Y.; Luo, F.; Yang, M.; Li, X.; Lian, X. Suppression of glutamate synthase genes significantly affects carbon and nitrogen metabolism in rice (Oryza sativa L.). Sci. China Life Sci. 2011, 54, 651–663. [Google Scholar] [CrossRef]
  41. Fortunato, S.; Nigro, D.; Lasorella, C.; Marcotuli, I.; Gadaleta, A.; de Pinto, M.C. The Role of Glutamine Synthetase (GS) and Glutamate Synthase (GOGAT) in the Improvement of Nitrogen Use Efficiency in Cereals. Biomolecules 2023, 13, 1771. [Google Scholar] [CrossRef]
  42. Sun, L.; Di, D.-W.; Li, G.; Kronzucker, H.J.; Wu, X.; Shi, W.; Takahashi, H. Endogenous ABA alleviates rice ammonium toxicity by reducing ROS and free ammonium via regulation of the SAPK9–bZIP20 pathway. J. Exp. Bot. 2020, 71, 4562–4577. [Google Scholar] [CrossRef] [PubMed]
  43. Yang, J.; Wang, M.; Li, W.; He, X.; Teng, W.; Ma, W.; Zhao, X.; Hu, M.; Li, H.; Zhang, Y.; et al. Reducing expression of a nitrate-responsive bZIP transcription factor increases grain yield and N use in wheat. Plant Biotechnol. J. 2019, 17, 1823–1833. [Google Scholar] [CrossRef] [PubMed]
  44. Feraud, M.; Masclaux-Daubresse, C.; Ferrario-Méry, S.; Pageau, K.; Lelandais, M.; Ziegler, C.; Leboeuf, E.; Jouglet, T.; Viret, L.; Spampinato, A. Expression of a ferredoxin-dependent glutamate synthase gene in mesophyll and vascular cells and functions of the enzyme in ammonium assimilation in Nicotiana tabacum (L.). Planta 2005, 222, 667–677. [Google Scholar] [CrossRef] [PubMed]
  45. Balotf, S.; Kavoosi, G.; Kholdebarin, B. Nitrate reductase, nitrite reductase, glutamine synthetase, and glutamate synthase expression and activity in response to different nitrogen sources in nitrogen-starved wheat seedlings. Biotechnol. Appl. Biochem. 2015, 63, 220–229. [Google Scholar] [CrossRef]
Figure 1. Location information of TaGOGATs on chromosomes. The six rectangles are the chromosomes. The chromosome names are labeled in the left side of the chromosome, and the gene name are marked on the right side. Chromosome-length information is provided in the scale at the far left of the image.
Figure 1. Location information of TaGOGATs on chromosomes. The six rectangles are the chromosomes. The chromosome names are labeled in the left side of the chromosome, and the gene name are marked on the right side. Chromosome-length information is provided in the scale at the far left of the image.
Genes 15 00827 g001
Figure 2. Phylogenetic tree, conserved motif, and gene structure analysis: (A) phylogenetic tree analysis. Arabidopsis (AT5G53460, AT5G04140, and AT2G41220), Populus (KAI9392052, KAI9380114, KAI9384106, PNS99918); (B) protein conserved motif map; (C) visualization of gene structure; and (D) conserved motif sequence.
Figure 2. Phylogenetic tree, conserved motif, and gene structure analysis: (A) phylogenetic tree analysis. Arabidopsis (AT5G53460, AT5G04140, and AT2G41220), Populus (KAI9392052, KAI9380114, KAI9384106, PNS99918); (B) protein conserved motif map; (C) visualization of gene structure; and (D) conserved motif sequence.
Genes 15 00827 g002aGenes 15 00827 g002b
Figure 3. Collinearity analysis of TaGOGATs gene. The red lines indicate collinear gene pairs. The graph shows the gene name, gene density information, GC skew information, gene gap distribution information and chromosome name from the outside to the inside. The legend on the right corresponds to the size of the gene densities.
Figure 3. Collinearity analysis of TaGOGATs gene. The red lines indicate collinear gene pairs. The graph shows the gene name, gene density information, GC skew information, gene gap distribution information and chromosome name from the outside to the inside. The legend on the right corresponds to the size of the gene densities.
Genes 15 00827 g003
Figure 4. Ka/Ks scatter plot of TaGOGATs gene. Each point represents the coordinate of a gene pair.
Figure 4. Ka/Ks scatter plot of TaGOGATs gene. Each point represents the coordinate of a gene pair.
Genes 15 00827 g004
Figure 5. Prediction of promoter cis-acting elements. The 2 kb upstream region from the GOGATs translation start site in wheat, Arabidopsis and Populus were analyzed.
Figure 5. Prediction of promoter cis-acting elements. The 2 kb upstream region from the GOGATs translation start site in wheat, Arabidopsis and Populus were analyzed.
Genes 15 00827 g005
Figure 6. Predictive analysis of promoter cis-acting elements. In the figure, the vertical coordinate indicates the gene name, and the horizontal coordinate indicates the binding element name.
Figure 6. Predictive analysis of promoter cis-acting elements. In the figure, the vertical coordinate indicates the gene name, and the horizontal coordinate indicates the binding element name.
Genes 15 00827 g006
Figure 7. Tertiary structure prediction map of wheat TaGOGAT protein. Based on the homology model-building method, the optimal spatial structure model of the homologous proteins was predicted: (A) TaGOGAT2s protein tertiary structure diagram; (B) TaGOGAT2s protein optimum homologous protein template; (C) TaGOGAT3s protein tertiary structure diagram; and (D) TaGOGAT3s protein optimum homologous protein template. In (A,C), the blue peptide indicates that the amino acid consistency is greater than 70%, the red peptide indicates that the amino acid consistency is less than 50%, and the yellow peptide indicates that the amino acid consistency is 60–70%.
Figure 7. Tertiary structure prediction map of wheat TaGOGAT protein. Based on the homology model-building method, the optimal spatial structure model of the homologous proteins was predicted: (A) TaGOGAT2s protein tertiary structure diagram; (B) TaGOGAT2s protein optimum homologous protein template; (C) TaGOGAT3s protein tertiary structure diagram; and (D) TaGOGAT3s protein optimum homologous protein template. In (A,C), the blue peptide indicates that the amino acid consistency is greater than 70%, the red peptide indicates that the amino acid consistency is less than 50%, and the yellow peptide indicates that the amino acid consistency is 60–70%.
Genes 15 00827 g007
Figure 8. Analysis of GOGAT gene expression patterns in different tissues of wheat. RNA was extracted from wheat roots, stems, leaves, flag leaves, and seeds at the filling stage for RT-qPCR: (A) TaGOGAT2s; and (B) TaGOGAT3s. Sample significance was obtained based the on t-test method (*, 0.01 ≤ p < 0.05; **, p < 0.01).
Figure 8. Analysis of GOGAT gene expression patterns in different tissues of wheat. RNA was extracted from wheat roots, stems, leaves, flag leaves, and seeds at the filling stage for RT-qPCR: (A) TaGOGAT2s; and (B) TaGOGAT3s. Sample significance was obtained based the on t-test method (*, 0.01 ≤ p < 0.05; **, p < 0.01).
Genes 15 00827 g008
Figure 9. The relative expression analysis of TaGOGAT genes: (A) the relative expression analysis of TaGOGAT2s in wheat root tissue; (B) the relative expression analysis of TaGOGAT3s in root tissue; (C) the relative expression analysis of TaGOGAT2s in leaf tissue; and (D) the relative expression analysis of TaGOGAT3s in leaf tissue. Sample significance was obtained based on t-test method (*, 0.01 ≤ p < 0.05; **, p < 0.01).
Figure 9. The relative expression analysis of TaGOGAT genes: (A) the relative expression analysis of TaGOGAT2s in wheat root tissue; (B) the relative expression analysis of TaGOGAT3s in root tissue; (C) the relative expression analysis of TaGOGAT2s in leaf tissue; and (D) the relative expression analysis of TaGOGAT3s in leaf tissue. Sample significance was obtained based on t-test method (*, 0.01 ≤ p < 0.05; **, p < 0.01).
Genes 15 00827 g009
Figure 10. Activity analysis of TaGOGAT3s enzyme: (A) analysis of TaGOGAT3s enzyme activity in the root tissue of wheat seedlings; and (B) analysis of TaGOGAT3s enzyme activity in leaf tissue. Sample significance was obtained based on t-test method (**, p < 0.01).
Figure 10. Activity analysis of TaGOGAT3s enzyme: (A) analysis of TaGOGAT3s enzyme activity in the root tissue of wheat seedlings; and (B) analysis of TaGOGAT3s enzyme activity in leaf tissue. Sample significance was obtained based on t-test method (**, p < 0.01).
Genes 15 00827 g010
Table 1. The basic nucleic acid and protein information of TaGOGAT genes in wheat.
Table 1. The basic nucleic acid and protein information of TaGOGAT genes in wheat.
Gene NameLocus NameChromosome
Location
Exons
Number
Gene
Length (bp)
Amino Acid
Length (aa)
Molecular Weight (Da)
TaGOGAT2-ATraesCS2A02G130600Chr 2A: 78328734-783460973358051606174,146.2
TaGOGAT2-BTraesCS2B02G152900Chr 2B: 121354806-1213711913353091607174,285.35
TaGOGAT2-DTraesCS2D02G132900Chr 2D: 78375985-783925633450511606174,193.26
TaGOGAT3-ATraesCS3A02G266300Chr 3A: 490922100-4909327502368542152235,258.73
TaGOGAT3-BTraesCS3B02G299800Chr 3B: 481595302-4816066602373072145234,364.58
TaGOGAT3-DTraesCS3D02G266400Chr 3D: 369790549-3698020742373832145234,534.95
Table 2. Ka/Ks analysis of gene pairs.
Table 2. Ka/Ks analysis of gene pairs.
Gene 1Gene 2KaKsKa/Ks
TaGOGAT3-ATaGOGAT3-B0.0050170.0501650.100013
TaGOGAT3-DTaGOGAT3-A0.0032730.0387570.084443
TaGOGAT3-DTaGOGAT3-B0.0050210.0295520.169886
TaGOGAT2-ATaGOGAT2-B0.0019240.0667450.028821
TaGOGAT2-DTaGOGAT2-A0.0013740.0602230.022812
TaGOGAT2-DTaGOGAT2-B0.0030250.062120.048695
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Li, S.; Jiao, B.; Wang, J.; Zhao, P.; Dong, F.; Yang, F.; Ma, C.; Guo, P.; Zhou, S. Identification of Wheat Glutamate Synthetase Gene Family and Expression Analysis under Nitrogen Stress. Genes 2024, 15, 827. https://doi.org/10.3390/genes15070827

AMA Style

Li S, Jiao B, Wang J, Zhao P, Dong F, Yang F, Ma C, Guo P, Zhou S. Identification of Wheat Glutamate Synthetase Gene Family and Expression Analysis under Nitrogen Stress. Genes. 2024; 15(7):827. https://doi.org/10.3390/genes15070827

Chicago/Turabian Style

Li, Songshuo, Bo Jiao, Jiao Wang, Pu Zhao, Fushuang Dong, Fan Yang, Chunhong Ma, Peng Guo, and Shuo Zhou. 2024. "Identification of Wheat Glutamate Synthetase Gene Family and Expression Analysis under Nitrogen Stress" Genes 15, no. 7: 827. https://doi.org/10.3390/genes15070827

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop