Abstract
Abscisic acid (ABA) plays a crucial role in various aspects of plant growth and development, including fruit development and ripening, seed dormancy, and involvement in response to various environmental stresses. In almost all higher plants, ABA signal transduction requires three core components; namely, PYR/PYL/RCAR ABA receptors (PYLs), type 2C protein phosphatases (PP2Cs), and class III SNF-1-related protein kinase 2 (SnRK2s). The exploration of these three core components is not comprehensive in soybean. This study identified the GmPYL-PP2C-SnRK2s gene family members by using the JGI Phytozome and NCBI database. The gene family composition, conservation, gene structure, evolutionary relationship, cis-acting elements of promoter regions, and its coding protein domains were analyzed. In the entire genome of the soybean, there are 21 PYLs, 36 PP2Cs, and 21 SnRK2s genes; further, by phylogenetic and conservation analysis, 21 PYLs genes are classified into 3 groups, 36 PP2Cs genes are classified into seven groups, and 21 SnRK2s genes are classified into 3 groups. The conserved motifs and domain analysis showed that all the GmPYLs gene family members contain START-like domains, the GmPP2Cs gene family contains PP2Cc domains, and the GmSnRK2s gene family contains S_TK domains, respectively. Furthermore, based on the high-throughput transcriptome sequencing data, the results showed differences in the expression patterns of GmPYL-PP2C-SnRK2s gene families in different tissue parts of the same variety, and the same tissue part of different varieties. Our study provides a basis for further elucidation of the identification of GmPYL-PP2C-SnRK2s gene family members and analysis of their evolution and expression patterns, which helps to understand the molecular mechanism of soybean response to abiotic stress. In addition, this provides a conceptual basis for future studies of the soybean ABA core signal pathway.
Keywords: soybean, PYL, PP2C, SnRK2, ABA signal pathway, differential expression, gene family
1. Introduction
Soybean (Glycine max L. Merr) is an essential leguminous crop that provides the human diet with an essential protein source, livestock feed, and industry biodiesel [1]. However, the sustainability of soybean yields is challenged by expected changes in the climate with prolonged drought, salinity, and high temperature in many areas of the world [2]. Many innate survival mechanisms have evolved to respond to these adverse conditions, a crucial metabolic process called abscisic acid accumulation [3]. Abscisic acid (ABA) is a key regulator for plant stress-adaptation; the ABA signaling pathways are made up of many important turnover mechanisms in response to ever-changing environmental conditions [4]. The PYL-PP2C-SnRK2s family of proteins are the main members of the ABA core signaling pathway and play an important role in response to abiotic stress-mediated by ABA. PYL is located at the top of the ABA signal transduction pathway, mainly regulated by inhibiting type 2C protein phosphatase (PP2C) [5]. In the absence of ABA, PYL protein does not bind to PP2C, so PP2C activity is very high, thus preventing the activation of SNF1-Related protein kinases2 (SnRK2) and its downstream factors; in the presence of ABA, PYL binds to PP2C and inhibits its activity [6,7]. The inhibited PP2C release SnRK2, phosphorylated SnRK2 activating the ABA response element-binding factor (ABFs), and initiates a downstream response to stress [8,9]. ABA signal transduction pathway plays a key role in plant response to drought and salt stresses [10,11]. At present, the PYL family of the model plant Arabidopsis thaliana has been studied comprehensively. 14 PYL proteins with highly conserved amino acid sequences have been identified in A. thaliana [12]. Some PYL protein functions have been successfully verified, such as overexpression of AtPYR1, AtPYL1, AtPYL2, and AtPYL3 genes that can improve drought resistance and water use efficiency of A. thaliana [13]. In A. thaliana, the PYR1 and PYL2 are the key receptors for stomatal closure induced by abscisic acid [14]. Overexpression of AtPYL5 reduces the transpiration rate and reduce water loss, oxidative stress damage, and increase photosynthesis rate under drought stress [15]. Overexpression of AtPYL4, AtPYL8, and AtPYL13 genes can enhance drought tolerance in A. thaliana [16,17,18,19]. Although the soybean GmPYLs gene family members are already identified [20], the bioinformatics analysis and expression characteristics of the soybean GmPYLs gene family have not been reported. The SnRK2 is the key component of ABA signal transduction pathways; each SnRK2 protein contains three functional domains, such as a conserved Ser/Thr kinase domain, adenosine triphosphate (ATP) binding domain [21], and a diverse regulatory C-terminal. The members of the SnRK2s family have been identified in various plant species, including Triticum aestivum (TaSnRK2.3, 2.4, 2.7, and 2.8) [22,23], Oryza sativa (SAPK1–10) [24,25], A. thaliana (AtSnRK2.1–2.10), G. max (GmSnRK2.1–2.22) [26]. Different studies demonstrated ABA hypersensitivity after PP2C loss-of-function mutant, indicating its important role in ABA signaling pathway. PP2C proteins belong to monomer enzymes, and their functions depend on Mg2+ and Mn2+. The catalytic domain of PP2C proteins is located at either the C-terminus or N-terminus in eukaryotes [27]. Further study has shown that the catalytic domain regions of eukaryotic PP2C proteins are conserved, while the non-catalytic domain regions have diverse amino acid sequences [28]. However, to the best of our knowledge, bioinformatics analysis of PYL-PP2C-SnRK2s gene families in soybean is not comprehensive.
To further explore soybean genome information at the whole genome level, and elaborate the structure and function of GmPYL-PP2C-SnRK2s gene families, in the present study, the GmPYL-PP2C-SnRK2 family in soybean, their phylogenetic relationship, chromosomal distribution, gene structure, protein motifs, and expression patterns in various tissues have helped to better understand the molecular mechanisms and the role of core components in the ABA signaling pathway. Furthermore, this study should help the breeder to manipulate and improve the yield and quality of soybean under different stress conditions.
2. Results
2.1. Identification and Nomenclature of GmPYL-PP2C-SnRK2s Gene Families
To identify the GmPYL-PP2C-SnRK2s gene family members in soybean genome using A. thaliana and O. Sativa PYL-PP2C-SnRK2s gene family as queries, we named the homologous soybean genes of each GmPYL-PP2C-SnRK2s by searching Blastp against NCBI, a total of 21 GmPYLs, 36 GmPP2Cs, and 21 GmSnRK2 genes. The genes were named GmPYL1~GmPYL21, GmPP2C1~GmPP2C36, and GmSnRK2.1~GmSnRK2.21, respectively. Furthermore, the length, amino acid sequence of genes, and position of these genes on chromosomes were identified (Table S1). The coding sequence length of the 21 GmPYLs genes varies from 534 to 801 bp, but the encoded protein length ranges from 177 to 266 amino acids. The coding sequence length of 36 GmPP2Cs genes varies between 732 to 2163 bp, and the protein length ranges from 243 to 720 amino acids. The coding sequence length of 21 GmSnRK2s genes varies from 1011 to 1113 bp, and the length of the encoded protein is almost the same, ranging from 336 to 370 amino acids. The number of PYL-PP2C-SnRK2s did not vary substantially between A. thaliana (PYL:14, PP2C:12, SnRK2:10) and O. sativa (PYL:13, PP2C:12, SnRK2:10), but the amount of PYL-PP2C-SnRK2 in G. max (PYL:21, PP2C:36, SnRK2:21) was significantly higher than that in A. thaliana and O. sativa.
2.2. Phylogenetic Analysis of GmPYL-PP2C-SnRK2s Gene Families
To classify and determine the evolutionary relationship of PYL-PP2C-SnRK2s genes, the amino acid sequences of PYLs, PP2Cs, and SnRK2s proteins from G. max, A. thaliana, and O. sativa were selected to construct three phylogenetic Maximum Likelihood trees. The name and ID of PYL-PP2C-SnRK2s genes in O. sativa and A. thaliana are shown in Table S2. According to the branching characteristics and bootstrap values of phylogenetic trees, a total of 48 PYLs from these three species were clustered into three subgroups (I–III), including 21 GmPYLs (G. max), 14 AtPYLs (A. thaliana), and 13 OsPYLs (O. sativa) (Figure 1A). A total of 60 PP2Cs from these three species were clustered into ten subgroups (I–X), including 36 GmPP2Cs (G. max), 12 AtPP2Cs (A. thaliana), and 12 OsPP2Cs (O. sativa) (Figure 1B), And a total of 41 SnRK2s from these three species were clustered into three subgroups (I–III), including 21 GmSnRK2s (G. max), 10 AtSnRK2s (A. thaliana) and 10 OsSnRK2s (O. sativa) (Figure 1C). Meanwhile, GmPYL17, GmPYL18, and GmPYL19 were phylogenetically close to AtPYL8 and AtPYL10, and GmPP2C13 and GmPP2C14 were phylogenetically close to AtPP2C9. Furthermore, GmSnRK2.4 and GmSnRK2.19 were phylogenetically close to AtSnRK2.3. There may be similarities in gene structure, protein structure, and functional domain among the same group of genes PYLs, PP2Cs, and SnRK2s in A. thaliana and G. max (Figure 1).
2.3. Evolutionary Conservation and Gene Structure of GmPYL-PP2C-SnRK2s
We used the GENE Structure display website (http://gsds.gao-lab.org/) to draw GmPYL-PP2C-SnRK2s gene structure online, and show 16 GmPYLs genes have no intron, except GmPYL15, GmPYL16, GmPYL17, GmPYL18, and GmPYL19 (Figure 2A) [29]. In the GmPP2Cs family, 14 genes have 4 introns, while GmPP2C14 has 10 introns, GmPP2C13 lacks the UTR region. Almost all GmSnRK2s have 9 introns; only GmSnRK2.12 has 10 introns.
For conservative motif analysis, used MEME website (http://meme-suite.org/) showed that 10 conserved motifs (motif1~motif10) were identified in GmPYL-PP2C-SnRK2s proteins, respectively [30]. The width, sites, and E-value of GmPYL-PP2C-SnRK2s proteins and their conserved motifs are shown in Table S3. The conserved motif’s width, approximately 8–50 amino acids, conserved motif LOGO, is shown in Figure 2. Genes in the same branch of the phylogenetic tree have a similar conservative motif.
Using “Batch SMART” plug-in in the TBtools software (Version 1.055) upload amino acid sequence, we found that all GmPYLs genes include the Polyketide_cyc2 domain, some GmPYLs genes contain Polyketide_cyc and Pfam: Bet_v_1 domain, only GmPYL14 contains Pfam: peroxidase domain, which indicates that GmPYL14 may have different functions in the GmPYLs gene family (Figure 3A). All 36 GmPP2Cs genes contain PP2Cc domains (Figure 3B). Each GmSnRK2s gene contains a major serine-threonine (Ser/Thr) kinase catalytic domain (S_TKC) (Figure 3C). The phosphatase domain of the PP2C-type consists of 10 beta-strand segments and 5 alpha-helix segments and comprises a pair of detached subdomains. The first is a small beta-sandwich with strand beta1 packed against strands beta2 and beta3; the second is a larger beta-sandwich in which a four-stranded beta-sheet pack against a three-stranded beta-sheet with flanking alpha-helices. And each GmSnRK2 contains a major serine-threonine (Ser/Thr) kinase catalytic domain (S_TKc). The catalytic domain of serine/threonine protein kinases is predominantly alpha-helical and displays functional and structural similarity with the ATP-grasp fold and PIPK. Anti-parallel beta-sheets form the alpha and beta folds. It is a phosphotransferase that contains a conserved catalytic center. There is a glycine-rich area of residues near a lysine residue involved in ATP binding at the N-terminal end. There is an aspartic acid residue in the center of the STKc catalytic domain that drives the catalytic enzyme (Figure 3C), SCOP d1ihma domain is distinctive to GmPP2C1, GmPP2C28. Furthermore, the coiled-coil region is differential to GmSnRK2.7, GmSnRK2.14, and GmSnRK2.15 nearly all genes contain a low complexity region.
2.4. Chromosomal Localization and Collinearity Analysis of GmPYL-PP2C-SnRK2s Gene Families
Based on the positioning information for chromosomes in the JGI Phytozome database (Table S1), the result drawing with MapChart software is shown in Figure 4. Among the 20 chromosomes of soybean, 21 GmPYLs genes were located on chromosomes 1–4, 6–9, and 13–18. There are three PYLs genes on chromosome 1, and two PYLs genes on chromosomes 6, 7, 13, and 14; further, the rest of the chromosomes containing a single gene of the PYL family. The 36 GmPP2Cs genes are located on chromosomes 2–4, 6, 7, 9–14, and 17–20. There are five genes of GmPP2Cs on chromosome 6, and the remaining genes are located on other chromosomes. 21 GmSnRK2s genes are located on chromosomes 1, 2, 4–8, 11, 12, 14, 17, and 20. The chromosomes 1, 2, 7, 8, 11, and 17 contain two genes, and the rest of the chromosomes contain one gene. Besides, collinearity and replication analysis of all genes was carried out using TBtools software. The results showed that most of the GmPYLs, GmPP2Cs, and GmSnRK2s genes contained a collinear relationship, indicating that most of the GmPYLs, GmPP2Cs, and GmSnRK2s genes had fragment replication, which led to an increase in the number of genes (Figure 5, Table S4). The results showed that GmPYLs, GmPP2Cs, and GmSnRK2s genes had complex genomic replication events, and most of the genes were retained.
2.5. Analysis of GmPYLs, GmPP2Cs, GmSnRK2s Genes Promoter Sequence
To predict the function of GmPYLs, GmPP2Cs, and GmSnRK2s gene family, the cis-acting elements of each GmPYL-PP2C-SnRK2s genes’ upstream 2 kb sequences from the transcription start site (TSS) were analyzed. The results show that GmPYL-PP2C-SnRK2s gene families have a wide range of potential mechanisms in response to abiotic stress. The promoter region of GmPYL-PP2C-SnRK2s gene families mainly contains cis-acting elements related to stress, growth, development, and plant hormones. The GmPYL-PP2C-SnRK2s gene families contain five hormone response elements. It includes the abscisic acid (ABA) response element, gibberellin response element, auxin response element, MeJA response element, and salicylic acid response element. Between them, mostly, the response elements belong to the abscisic acid (ABA), preceded by the response element of methyl jasmonate (MeJA) (Figure 6, Table S5).
We found eight potential elements to be involved in the regulatory mechanisms of ABA, MeJA, IAA (auxin), GA (gibberellin), and SA (salicylic acid), such as ABRE, TCA-element, AuxRR-core, GARE-motif, CGTCA/TGACG-moif, P-box, TATC-box, and TGA-element. In addition, the four elements (such as ARE, MBS, TC-rich repeats and LTR) were involved in reacting to various stresses, such as drought, low temperature, salinity and anaerobic induction. Various types and numbers of cis-elements have been found in GmPYLs, GmPP2Cs, GmSnRK2s promoters, indicating that they participate in various regulatory mechanisms during plant growth and development (Figure 6, Table S5).
2.6. Tissue-Specificity of GmPYL-PP2C-SnRK2s Genes Expression
The young seedling of the soybean is more vulnerable to abiotic stress. The two representative soybean cultivars, Williams82 and Jack, were used to extract the total RNA from meristem, unifoliate leaves, epicotyl, hypocotyl, and root at VC stage (After 14 days of seedlings, two unifoliate leaves unroll). Each sample produces 6.0-Gb sequencing data, which is sequenced by a high-throughput transcriptome method to investigate the expression patterns of GmPYL-PP2C-SnRK2s gene families. The analysis of differentially expressed genes among two varieties showed that the GmPYLs gene family contained 2, 6, 4, 7, 6 highly significant differentially genes (p ≤ 0.01) and 1, 1, 2, 3, 0 the significant differentially genes (0.01 < p ≤ 0.05) in the meristem, unifoliate leaves, epicotyl, hypocotyl, and roots. The GmPP2Cs gene family contains 12, 14, 8, 16, 16 highly significant differentially genes and 5, 3, 9, 5, 3 significant differentially genes in the meristem, unifoliate leaves, epicotyl, hypocotyl, and roots, respectively. The GmSnRK2s gene family contains 6, 8, 3, 7, 7 highly significant differentially genes, 3, 4, 3, 3, 2 significant differentially genes in the meristem, unifoliate leaves, epicotyl, hypocotyl, and roots respectively (Figure 7). Among them, three genes in the GmPYLs gene family, GmPYL4, GmPYL10, and GmPYL11, were significantly different in unifoliate leaves, hypocotyls, and roots. There are three genes in the GmPP2Cs gene family, which are GmPP2C2, GmPP2C8, and GmPP2C12, are significantly different in epicotyls, hypocotyls, and roots, the Venn diagram is shown in Figure 8. There is no apparent overlap between the two varieties with significant differences in expression among GmPYLs, GmPP2Cs, and GmSnRK2s gene families. The p-value is between 0.01 and 0.05, showing a significant difference between the two groups, while the p-value is ≤ 0.01, showing a highly significant difference between the two groups (Table S6).
The tissue-specificity of GmPYL-PP2C-SnRK2s gene families’ expression is shown in Figure 9, and the TPM (Transcript Per Million) values are shown in the supplementary file (Table S7). In Williams82 and Jack cultivars, the expression of GmPYL15 and GmPYL16 genes were significantly higher in all tissue. Similarly, GmPP2C1, GmPP2C25, GmPP2C28, GmSnRK2.1, GmSnRK15, GmSnRK17 and GmSnRK21 genes were highly expressed in all tissue. It is suggested that these nine genes may play an important regulatory role in response to stress during the early developmental stage.
Among them, three genes in the GmPYLs gene family, GmPYL16, GmPYL2, and GmPYL14 were significantly different in the unifoliate leaves, hypocotyl, and roots. Five genes of the GmPP2Cs gene family were significantly different in the apical meristem, hypocotyl, unifoliate leaves, and in the root, among which the two genes GmPP2C11 and GmPP2C29 were significantly different in the root, while GmPP2C31, GmPP2C34, and GmPP2C5 had a highly significant difference in the apical meristem, hypocotyl and in unifoliate leaves.
Four genes of the GmSnRK2s gene family were significantly different in the meristem, hypocotyl, and root, among which the two genes, GmSnRK2.5 and GmSnRK2.16, significantly different in the root, while the GmSnRK2.2 and GmSnRK2.7 are significantly different in meristem and epicotyls.
3. Discussion
The GmPYL-PP2C-SnRK2s genes are involved in plant abiotic stress responses, which has been documented in many species, as the core genes of the ABA core signaling pathway. In the past 20 years, researchers have revealed how plants react to stress by producing the plant hormone ABA through the physiological and molecular study of the model plant A. thaliana under stress conditions. ABA induces various regulatory mechanisms, including gene expression reprogramming, closing stomata, osmotic adjustment, and finally achieving adaptive growth and development [31,32,33]. Studying and implementing the molecular mechanisms on essential cash crops to obtain plant materials with high-stress resistance and sustainable water supply meet global food demand [34]. The ABA signal transduction included three core components of the GmPYL-PP2C-SnRK2s gene family [35]. In the presence of ABA, ABA binds with the receptor PYL to form a complex, which binds to PP2C and inhibits the catalytic activity of PP2C by inserting the door ring into the active crack of PP2C. PYL-mediated inhibition of PP2C activates SnRK2 kinases by activating cycloserine autophosphorylation, which transmits ABA signals by phosphorylating downstream transcription factors [8]. The phytohormone ABA plays an important role in plant growth and development, leaf senescence, and lateral root growth [36,37]. In this study, soybean genome and transcriptome data were used to comprehensively analyze the GmPYLs, GmPP2Cs, and GmSnRK2s gene families, which provides a theoretical basis for studying the mechanism of soybean ABA pathway core genes responding to abiotic stress and affecting growth and development [38,39]. Consistent with A. thaliana and O. sativa [40], the GmPP2Cs gene family is larger than GmPYLs and GmSnRK2s.
The PYL-PP2C-SnRK2s gene families support the evolutionary relationship among the three selected species. Among them, the gene location of the GmSnRK2s is the same as that of previous studies [26], but compared to other GmSnRK2s, GmSnRK2.6 lacks one intron, three motifs, and some amino acid residues. In addition, GmSnRK2.6 expression showed no difference at each time point. We analyzed the domains of these 22 GmSnRK2 genes and found that all of them contained S_TKc domains except GmSnRK2.6, the GmSnRK2.6 contains the Pfam: pkinase domain. Considering these conditions, GmSnRK2.6 is not included in the analysis of our article. Through phylogenetic analysis, the genes of GmPYLs, GmPP2Cs, and GmSnRK2s families were divided into 3, 10, and 3 groups. In the phylogenetic trees of G. max, A. thaliana and O. sativa, the conserved motifs in the same branch are highly similar, indicating that the same group of genes may have similar functions. For example, multiple genes in A. thaliana (AtPYR1, AtPYL1, AtPYL2, AtPYL3) all promote ABA-induced stomatal closure [41,42,43].
SnRK2.6 might influence the expression of RD22 and RD29B, which are ABA-responsive genes in A. thaliana [44]. SnRK2.2, SnRK2.6, and SnRK2.3 are redundant SnRK2s activated by ABA and play important roles in seed development and dormancy regulation [45]. Different studies have shown that PP2C plays an important role in abiotic stress response in plants, especially in the ABA signaling pathway [46,47]. The collinear analysis showed that GmPYL1, GmPYL2, GmPYL3, and GmPYL4 genes were homologous to the A. thaliana ABA-induced stomatal closure genes, it implies the possible similarity in function. All GmPYLs genes contain Pfam: Bet_v_1, Pfam:Polyketide_cyc and Pfam: Polyketide_cyc2 domains. Among them, Pfam: Polyketide_cyc and Pfam: Polyketide_cyc2 are members of the START domain superfamily, and their protein folding has a conservative ligand binding mode to adapt to a variety of catalytic activity and non-catalytic regulatory functions. Pfam: Bet_v_1 is the birch pollen protein domain [12], homologous with Pfam: Polyketide_cyc domain [48], overlap with each other in their position. These domains are important for PYL used as the direct receptor of ABA, which combines ABA and PP2C and negatively regulates ABA’s core signal pathway [49]. As a core component of ABA signaling, all GmPP2Cs genes contain the PP2Cc domain. In soybean, GmSnRK2s genes contain the S_TK domain, which performs an important function in responses to hyperosmotic stress, high salinity, and dehydration [50,51].
The cis-acting element analysis results showed that in group III, GmPYL17, GmPYL18, and GmPYL19 genes were located at the same branch of the phylogenetic tree, and all contained auxin response elements. Previous studies have shown that AtPYL8 promotes the transcription of auxin response genes independent of the ABA core signal pathway, relieves the ABA core signal pathway’s inhibition on lateral root growth, and promotes lateral root growth [43]. Phylogenetic analysis showed that GmPYL17, GmPYL18, and GmPYL19 genes were firmly related to the A. thaliana AtPYL8 gene. It is speculated that GmPYL17, GmPYL18, and GmPYL19 genes may regulate similar signal pathways in soybean. Besides, all GmPYLs, GmPP2Cs, and GmSnRK2s genes contain at least one plant hormone response element, and plant hormone signals are the key to regulating drought or water deficiency responses [52]. Therefore, GmPYL-PP2C-SnRK2s gene families may play an important role in regulating drought or water deficiency responses [53].
Furthermore, previous studies showed that ABA might induce the expression of jasmonate (JA) biosynthetic genes and then increase the concentrations of JA partially based on the function of ABI5 with clade A protein phosphatases type 2C (PP2Cs), consequently leading to the degradation of JAZ proteins [54]. According to Mustilli et al. [55], 10 members of the SnRK2 family in the A. thaliana genome, of which ABA strongly induces SnRK2.2, SnRK2.3, and SnRK2.6/OST1. SnRK2.6/OST1 is expressed in stomatal guard cells related to stomatal closure induced by ABA, CO2, and methyl jasmonate (MeJA) [55]. In this study, more than half of the GmPP2Cs and GmSnRK2s genes contain MeJA response elements, indicating that these genes may be related to stomatal closure.
The differences in expression patterns of GmPYL-PP2C-SnRK2s gene families in different soybean tissues indicated that there were functional differences among GmPYL-PP2C-SnRK2s gene families. As key genes in ABA’s core signal pathway, GmPYLs, GmPP2Cs, and GmSnRK2s are involved in various abiotic stress responses. It is reported that overexpression of AtPYR1, AtPYL1, AtPYL2, and AtPYL3 genes in the A. thaliana group I can improve drought stress tolerance [13,56]. It can be inferred that group I GmPYL1, GmPYL2, GmPYL3, GmPYL4, GmPYL5, GmPYL6, GmPYL7, and GmPYL8 genes have similar functions, which may also be related to enhance the drought stress tolerance in soybean. The transcriptome data and the previous research data [57] showed the same gene expression patterns, which proves the reliability of the tested results. In the present study, the family structure, evolutionary relationship, and expression pattern of GmPYLs, GmPP2Cs, and GmSnRK2s genes were comprehensively analyzed, which provided a theoretical basis for the directional study of PYL-PP2C-SnRK2s genes in soybean.
4. Materials and Methods
4.1. Plant Materials
Two soybean cultivar, Williams82, and Jack were used as a plant material grown in a greenhouse with (26 °C, light 14 h/dark 10 h) growth conditions. After 14 days of seedlings (VC stage, two unifoliate leaves unroll), the healthy plant’s meristem, unifoliate leaves, epicotyl, hypocotyl, and root were collected separately, and three independent replicas for each sample were frozen into liquid nitrogen. The total RNA was extracted from each tissue using TRIzol (TIANGEN Biotech, Beijing, China) following the manufacturers’ procedure. The total RNA’s quantity/quality was measured with a Nanophotomoter Spectrophotometer (Implen, München, Germany). The whole genomes and amino acid sequences of A. thaliana, G. max, and O. sativa were obtained from JGI Phytozome [58] and Ensembl databases (http://plants.ensembl.org/index.html).
4.2. Identification of GmPYL-PP2C-SnRK2s Gene Families
The AtPYL-PP2C-SnRK2s gene family information were obtained by using the TAIR database (https://www.arabidopsis.org/) for A. thaliana. The JGI Phytozome website (https://phytozome.jgi.doe.gov/pz/portal.html) was used to compare the homology of amino acids, the candidate soybean PYL-PP2C-SnRK2 proteins with high homologous correlation with A. thaliana PYL-PP2C-SnRK2 protein. Furthermore, through the NCBI database’s Blastp function, the GmPYL-PP2C-SnRK2s genes were identified and given specific names.
4.3. Phylogenetic Analysis
The amino acid sequences of GmPYLs, GmPP2Cs, and GmSnRK2s proteins from G. max, A. thaliana, and O. sativa were selected to construct a Maximum Likelihood using MEGA 10.0 software, use “find best DNA / protein models (ML)” program to test the most suitable model. “Jones-Taylor-Thornton (JTT) model” and “Gamma Distributed (G)” rates among sites were selected. The robustness of each node in the tree was determined using 1000 bootstrap replicates, and then the default parameter for the remaining parameters was selected [59].
4.4. Analysis of Gene Structure and Their Conservation
The gene structure of GmPYLs, GmPP2Cs, and GmSnRK2s was analyzed online by the GENE Structure display (GSDS 2.0) website (http://gsds.gao-lab.org/). Upload genomic sequence and coding sequence with FASTA format, and then generate gene structure. MEME website (http://meme-suite.org/) and TBtools software (version 1.055) were used to analyze the conserved motif of soybean GmPYLs, GmPP2Cs, and GmSnRK2s protein. The MEME website uses Classic mode to perform motif discovery on protein datasets: site distribution select Zero or One Occurrence Per Sequence (zoops). Generated conserved motif files are visualized with TBtools [60]. Using the plug-in “Batch SMART” of TBtools, it links to the SMART website (http://smart.embl-heidelberg.de/), adopted to determine whether the PYL-PP2C-SnRK2s domain existed in the candidate PYL-PP2C-SnRK2s genes [61].
4.5. Chromosomal Location and Collinearity Analysis
The chromosome mapping information of GmPYLs, GmPP2Cs, and GmSnRK2s gene families was obtained from the NCBI database. The chromosome mapping map was drawn by MapChart software [62], and the collinear relationship of GmPYL-PP2C-SnRK2s gene families was analyzed by using MCScanx and TBtools software. To further elaborate the replication events of the GmPYL-PP2C-SnRK2s gene families, and identify orthologous and paralogous genes.
4.6. Analysis of Promoter Sequence
The 2000 bp genomic sequences upstream of the transcription start site (TSS) of GmPYL-PP2C-SnRK2s gene families were extracted from the NCBI database, and the cis-acting elements in the promoter region were analyzed online by PlantCARE website (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/) [63].
4.7. Analysis of Expression Patterns
The expression data were obtained by high-throughput transcriptome sequencing, and the sequencing platform was Illumina Hiseq2500 at Shanghai Biozeron Biological Technology Co., Ltd. Each sample produces 6.0-Gb sequencing data, which is sequenced by double-terminal (PE) sequencing with a reading length of 150 bp. Post-trimming reads were aligned to G. max reference genome (Phytozome v11.0, https://phytozome.jgi.doe.gov/pz/portal.html, accessed on 16 July 2016). The transcriptome dataset of soybean (accession number: SRP038111) was uploaded to the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) database. The data used in the chart are the TPM values commonly used in transcriptome analysis, which will be used to analyze the tissue specificity and in different cultivars expression of GmPYL-PP2C-SnRK2s gene families. The mapping of these RNA-seq reads was done using TBtools (version 1.055) with the default settings. Quantification of gene expression was done using the TPM algorithm. The clustered heatmap of resulting TPM values per tissue for GmPYL-PP2C-SnRK2s was generated using the heatmap function of TBtools (version 1.055). Logarithm TPM data, set base = 2 and log with = 1, and cluster rows.
5. Conclusions
It is therefore concluded that there are 21 PYLs genes, 36 PP2Cs genes, and 21 SnRK2s genes present in the entire genome of the soybean. Gene structure, conserved sequence, and domain analysis have shown that members of the GmPYL-PP2C-SnRK2 gene families are evolutionarily relatively conservative. Complex genomic replication events have occurred; most genes have been retained. Identified GmPYL-PP2C-SnRK2s gene families contain START-like domain, PP2Cc domain, and S_TK domain. The expression pattern of these genes has tissue specificity and differences among varieties. In summary, these findings indicate the potential role of GmPYL-PP2C-SnRK2 gene families in plant growth and development, and multiple stress responses.
Supplementary Materials
The supplementary materials are available online at https://www.mdpi.com/2223-7747/9/10/1356/s1, Figure S1: The Venn diagrams showing the number of significant differentially expressed genes between Williams82 and Jack. Table S1 GmPYL-PP2C-SnRK2s Genes screening, naming and location, Table S2. The accession numbers and gene names of PYL-PP2C-SnRK2 gene families in A. thaliana and O. sativa, Table S3. Width, Sites, E-value of GmPYL-PP2C-SnRK2s conserved motif, Table S4. The genes that contain a collinear relationship and the location of GmPYL-PP2C-SnRK2s on scaffolds, Table S5. Prediction of cis-elements of GmPYL-PP2C-SnRK2s gene family. Table S6. The P-value of T-test of GmPYL-PP2C-SnRK2s gene families DEG Between Williams82 and Jack. Table S7. TPM values of GmPYL-PP2C-SnRK2s all genes in two varieties.
Author Contributions
Conceptualization, L.X. & Z.Z.; Methodology and writing—original draft preparation, Z.Z.; Writing—review and editing, S.A. & W.W.; Data curation, T.Z.; Supervision, L.X. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by project 31801444, National Natural Science Foundation of China.
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Koberg M., Abu-Much R., Gedanken A. Optimization of Bio-Diesel Production from Soybean and Wastes of Cooked Oil: Combining Dielectric Microwave Irradiation and a SrO Catalyst. Bioresour. Technol. 2011;102:1073–1078. doi: 10.1016/j.biortech.2010.08.055. [DOI] [PubMed] [Google Scholar]
- 2.Foyer C.H., Lam H.-M., Nguyen H.T., Siddique K.H.M., Varshney R.K., Colmer T.D., Cowling W., Bramley H., Mori T.A., Hodgson J.M., et al. Neglecting Legumes Has Compromised Human Health and Sustainable Food Production. Nat. Plants. 2016;2:16112. doi: 10.1038/nplants.2016.112. [DOI] [PubMed] [Google Scholar]
- 3.Bohnert H.J., Gong Q., Li P., Ma S. Unraveling Abiotic Stress Tolerance Mechanisms—Getting Genomics Going. Curr. Opin. Plant Biol. 2006;9:180–188. doi: 10.1016/j.pbi.2006.01.003. [DOI] [PubMed] [Google Scholar]
- 4.Cheng C., Wang Z., Ren Z., Zhi L., Yao B., Su C., Liu L., Li X. SCFAtPP2-B11 Modulates ABA Signaling by Facilitating SnRK2.3 Degradation in Arabidopsis Thaliana. PLoS Genet. 2017;13:e1006947. doi: 10.1371/journal.pgen.1006947. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Park S.-Y., Fung P., Nishimura N., Jensen D.R., Fujii H., Zhao Y., Lumba S., Santiago J., Rodrigues A., Chow T.-F.F., et al. Abscisic Acid Inhibits Type 2C Protein Phosphatases via the PYR/PYL Family of START Proteins. Science. 2009;324:1068–1071. doi: 10.1126/science.1173041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Melcher K., Ng L.-M., Zhou X.E., Soon F.-F., Xu Y., Suino-Powell K.M., Park S.-Y., Weiner J.J., Fujii H., Chinnusamy V., et al. A Gate–Latch–Lock Mechanism for Hormone Signalling by Abscisic Acid Receptors. Nat. Cell Biol. 2009;462:602–608. doi: 10.1038/nature08613. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Miyazono K.-I., Miyakawa T., Sawano Y., Kubota K., Kang H.-J., Asano A., Miyauchi Y., Takahashi M., Zhi Y., Fujita Y., et al. Structural Basis of Abscisic Acid Signalling. Nat. Cell Biol. 2009;462:609–614. doi: 10.1038/nature08583. [DOI] [PubMed] [Google Scholar]
- 8.Soon F.-F., Ng L.-M., Zhou X.E., West G.M., Kovach A., Tan M.H.E., Suino-Powell K.M., He Y., Xu Y., Chalmers M.J., et al. Molecular Mimicry Regulates ABA Signaling by SnRK2 Kinases and PP2C Phosphatases. Science. 2011;335:85–88. doi: 10.1126/science.1215106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Fujii H., Zhu J.K. Arabidopsis Mutant Deficient in 3 Abscisic Acid-Activated Protein Kinases Reveals Criticalroles in Growth, Reproduction, and Stress. Proc. Natl. Acad. Sci. USA. 2009;106:8380–8385. doi: 10.1073/pnas.0903144106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Miao Y., Lu D., Wang P., Wang X.C., Chen J., Miao C., Song C.P. An Arabidopsis Glutathione Peroxidasefunctions as Both a Redox Transducer and a Scavenger in Abscisic Acid and Drought Stress Responses. Plant Cell. 2006;18:2749–2766. doi: 10.1105/tpc.106.044230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Yu Y.-T., Wu Z., Lu K., Bi C., Liang S., Wang X.-F., Zhang D.-P. Overexpression of the MYB37 Transcription Factor Enhances Abscisic Acid Sensitivity, and Improves Both Drought Tolerance and Seed Productivity in Arabidopsis Thaliana. Plant Mol. Biol. 2015;90:267–279. doi: 10.1007/s11103-015-0411-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Ma Y., Szostkiewicz I., Korte A., Moes D., Yang Y., Christmann A., Grill E. Regulators of PP2C Phosphatase Activity Function as Abscisic Acid Sensors. Science. 2009;324:1064–1068. doi: 10.1126/science.1172408. [DOI] [PubMed] [Google Scholar]
- 13.Li X., Li G., Li Y., Kong X., Zhang L., Wang J., Li X., Yang L. ABA Receptor Subfamily III Enhances Abscisicacid Sensitivity and Improves the Drought Tolerance of Arabidopsis. Int. J. Mol. Sci. 2018;19:1938. doi: 10.3390/ijms19071938. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Dittrich M., Mueller H.M., Bauer H., Peirats-Llobet M., Rodriguez P.L., Geilfus C.-M., Carpentier S.C., Al Rasheid K.A.S., Kollist H., Merilo E., et al. The Role of Arabidopsis ABA Receptors from the PYR/PYL/RCAR Family in Stomatal Acclimation and Closure Signal Integration. Nat. Plants. 2019;5:1002–1011. doi: 10.1038/s41477-019-0490-0. [DOI] [PubMed] [Google Scholar]
- 15.Quan W., Hu Y., Mu Z., Shi H., Chan Z. Overexpression of Atpyl5 Under the Control of Guard Cell Specific Promoter Improves Drought Stress Tolerance in Arabidopsis. Plant Physiol. Biochem. 2018;129:150–157. doi: 10.1016/j.plaphy.2018.05.033. [DOI] [PubMed] [Google Scholar]
- 16.Pizzio G.A., Rodriguez L., Antoni R., Gonzalez-Guzman M., Yunta C., Merilo E., Kollist H., Albert A., Rodriguez P.L. The PYL4 A194T Mutant Uncovers a Key Role of PYR1-LIKE4 / Protein Phosphatase 2CA Interaction for Abscisic Acid Signaling and Plant Drought Resistance. Plant Physiol. Biochem. 2017;163:441–455. doi: 10.1104/pp.113.224162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Santiago J., Rodrigues A., Saez A., Rubio S., Antoni R., Dupeux F., Park S.-Y., Márquez J.A., Cutler S.R., Rodriguez P.L. Modulation of Drought Resistance by the Abscisic Acid Receptor PYL5 Through Inhibition of Clade A PP2Cs. Plant J. 2009;60:575–588. doi: 10.1111/j.1365-313X.2009.03981.x. [DOI] [PubMed] [Google Scholar]
- 18.Fuchs S., Tischer S.V., Wunschel C., Christmann A., Grill E. Abscisic Acid Sensor RCAR7/PYL13, Specific Regulator of Protein Phosphatase Coreceptors. Proc. Natl. Acad. Sci. USA. 2014;111:5741–5746. doi: 10.1073/pnas.1322085111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Ali S., Hayat K., Iqbal A., Xie L. Implications of Abscisic Acid in the Drought Stress Tolerance of Plants. Agronomy. 2020;10:1323. doi: 10.3390/agronomy10091323. [DOI] [Google Scholar]
- 20.Bai G., Yang D.-H., Zhao Y., Ha S., Yang F., Ma J., Gao X.-S., Wang Z., Zhu J.-K. Interactions Between Soybean ABA Receptors and Type 2C Protein Phosphatases. Plant Mol. Biol. 2013;83:651–664. doi: 10.1007/s11103-013-0114-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Boudsocq M., Barbier-Brygoo H., Laurière C. Identification of Nine Sucrose Nonfermenting 1-related Protein Kinases 2 Activated by Hyperosmotic and Saline Stresses in Arabidopsis Thaliana. J. Biol. Chem. 2004;279:41758–41766. doi: 10.1074/jbc.M405259200. [DOI] [PubMed] [Google Scholar]
- 22.Kobayashi Y., Yamamoto S., Minami H., Kagaya Y., Hattori T. Differential Activation of the Rice Sucrose Nonfermenting1–Related Protein Kinase2 Family by Hyperosmotic Stress and Abscisic Acid. Plant Cell. 2004;16:1163–1177. doi: 10.1105/tpc.019943. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Saha J., Chatterjee C., Sengupta A., Gupta K., Gupta B. Genome- Wide Analysis and Evolutionary Study of Sucrose Non-Fermenting 1-Related Protein Kinase 2 (SnRK2) Gene Family Members in Arabidopsis and Oryza. Comput. Biol. Chem. 2014;49:59–70. doi: 10.1016/j.compbiolchem.2013.09.005. [DOI] [PubMed] [Google Scholar]
- 24.Tian S., Mao X., Zhang H., Chen S., Zhai C., Yang S., Jing R. Cloning and Characterization of TaSnRK2.3, a Novel SnRK2 Gene in Common Wheat. J. Exp. Bot. 2013;64:2063–2080. doi: 10.1093/jxb/ert072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Zhang H., Mao X., Jing R., Chang X., Xie H. Characterization of a Common Wheat (Triticum Aestivum L.) TaSnRK2.7 Gene Involved in Abiotic Stress Responses. J. Exp. Bot. 2010;62:975–988. doi: 10.1093/jxb/erq328. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Zhao W., Cheng Y.-H., Zhang C., Shen X.-J., You Q.-B., Guo W., Li X., Song X.-J., Zhou X., Jiao Y. Genome-Wide Identification and Characterization of the GmSnRK2 Family in Soybean. Int. J. Mol. Sci. 2017;18:1834. doi: 10.3390/ijms18091834. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Schweighofer A., Hirt H., Meskiene I. Plant PP2C Phosphatases: Emerging Functions in Stress Signaling. Trends Plant Sci. 2004;9:236–243. doi: 10.1016/j.tplants.2004.03.007. [DOI] [PubMed] [Google Scholar]
- 28.Singh A., Pandey A., Srivastava A.K., Tran L.-S.P., Pandey G.K. Plant Protein Phosphatases 2C: From Genomic Diversity to Functional Multiplicity and Importance in Stress Management. Crit. Rev. Biotechnol. 2015;36:1023–1035. doi: 10.3109/07388551.2015.1083941. [DOI] [PubMed] [Google Scholar]
- 29.Hu B., Jin J., Guo A.-Y., Zhang H., Luo J., Gao G. GSDS 2.0: An upgraded gene feature visualization server. Bioinformatics. 2015;31:1296–1297. doi: 10.1093/bioinformatics/btu817. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Bailey T.L., Bodén M., Buske F.A., Frith M.C., Grant C.E., Clementi L., Ren J., Li W.W., Noble W.S. MEME SUITE: Tools for Motif Discovery and Searching. Nucleic Acids Res. 2009;37:w202–w208. doi: 10.1093/nar/gkp335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Yang R., Yang T., Zhang H., Qi Y., Xing Y., Zhang N., Li R., Weeda S., Ren S., Ouyang B., et al. Hormone Profiling and Transcription Analysis Reveal a Major Role of Aba in Tomato Salt Tolerance. Plant Physiol. Biochem. 2014;77:23–34. doi: 10.1016/j.plaphy.2014.01.015. [DOI] [PubMed] [Google Scholar]
- 32.Liu S., Li M., Su L., Ge K., Li L., Li X., Liu X., Li L. Negative Feedback Regulation of ABA Biosynthesis in Peanut (Arachis Hypogaea): A Transcription Factor Complex Inhibits AhNCED1 Expression During Water Stress. Sci. Rep. 2016;6:37943. doi: 10.1038/srep37943. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Cao M.-J., Zhang Y.-L., Liu X., Huang H., Zhou X.E., Wang W.-L., Zeng A., Zhao C.-Z., Si T., Du J., et al. Combining Chemical and Genetic Approaches to Increase Drought Resistance in Plants. Nat. Commun. 2017;8:1183. doi: 10.1038/s41467-017-01239-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Gong Z., Xiong L., Shi H., Yang S., Herrera-Estrella L.R., Xu G., Chao D.-Y., Li J., Wang P.-Y., Qin F., et al. Plant Abiotic Stress Response and Nutrient Use Efficiency. Sci. China Life Sci. 2020;63:635–674. doi: 10.1007/s11427-020-1683-x. [DOI] [PubMed] [Google Scholar]
- 35.Dalal M., Inupakutika M. Transcriptional Regulation of ABA Core Signaling Component Genes in Sorghum (Sorghum Bicolor L. Moench) Mol. Breed. 2014;34:1517–1525. doi: 10.1007/s11032-014-0114-3. [DOI] [Google Scholar]
- 36.Zhao Y., Xing L., Wang X., Hou Y.-J., Gao J., Wang P., Duan C.-G., Zhu X., Zhu J.-K. The ABA Receptor PYL8 Promotes Lateral Root Growth by Enhancing MYB77-Dependent Transcription of Auxin-Responsive Genes. Sci. Signal. 2014;7:ra53. doi: 10.1126/scisignal.2005051. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Zhao Y., Chan Z., Gao J., Xing L., Cao M., Yu C., Hu Y., You J., Shi H., Zhu Y., et al. ABA Receptor PYL9 Promotes Drought Resistance and Leaf Senescence. Proc. Natl. Acad. Sci. USA. 2016;113:1949–1954. doi: 10.1073/pnas.1522840113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Zhu J.-K. Abiotic Stress Signaling and Responses in Plants. Cell. 2016;167:313–324. doi: 10.1016/j.cell.2016.08.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Ali S., Khan N., Xie L. Molecular and Hormonal Regulation of Leaf Morphogenesis in Arabidopsis. Int. J. Mol. Sci. 2020;21:5132. doi: 10.3390/ijms21145132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Xue T., Wang D., Zhang S., Ehlting J., Ni F., Jakab S., Zheng C., Zhong Y. Genome-Wide and Expression Analysis of Protein Phosphatase 2C in Rice and Arabidopsis. BMC Genom. 2008;9:550. doi: 10.1186/1471-2164-9-550. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Nishimura N., Sarkeshik A., Nito K., Park S.-Y., Wang A., Carvalho P.C., Lee S., Caddell D.F., Cutler S.R., Chory J., et al. PYR/PYL/RCAR Family Members Are Major In-Vivo ABI1 Protein Phosphatase 2C-Interacting Proteins in Arabidopsis. Plant J. 2009;61:290–299. doi: 10.1111/j.1365-313X.2009.04054.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Wang Y., Chen Z.-H., Zhang B., Hills A., Blatt M.R. PYR/PYL/RCAR Abscisic Acid Receptors Regulate K+ and Cl- Channels through Reactive Oxygen Species-Mediated Activation of Ca2+ Channels at the Plasma Membrane of Intact Arabidopsis Guard Cells. Plant Physiol. 2013;163:566–577. doi: 10.1104/pp.113.219758. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Yin Y., Adachi Y., Ye W., Hayashi M., Nakamura Y., Kinoshita T., Mori I.C., Murata Y. Difference in Abscisic Acid Perception Mechanisms between Closure Induction and Opening Inhibition of Stomata. Plant Physiol. 2013;163:600–610. doi: 10.1104/pp.113.223826. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Yoshida R., Hobo T., Ichimura K., Mizoguchi T., Takahashi F., Aronso J., Ecker J.R., Shinozaki K. ABA-Activated SnRK2 Protein Kinase is Required for Dehydration Stress Signaling in Arabidopsis. Plant Cell Physiol. 2002;43:1473–1483. doi: 10.1093/pcp/pcf188. [DOI] [PubMed] [Google Scholar]
- 45.Nakashima K., Fujita Y., Kanamori N., Katagiri T., Umezawa T., Kidokoro S., Maruyama K., Yoshida T., Ishiyama K., Kobayashi M., et al. Three Arabidopsis SnRK2 Protein Kinases, SRK2D/SnRK2.2, SRK2E/SnRK2.6/OST1 and SRK2I/SnRK2.3, Involved in ABA Signaling are Essential for the Control of Seed Development and Dormancy. Plant Cell Physiol. 2009;50:1345–1363. doi: 10.1093/pcp/pcp083. [DOI] [PubMed] [Google Scholar]
- 46.Bhaskara G.B., Nguyen T.T., E Verslues P. Unique Drought Resistance Functions of the Highly ABA-Induced Clade A Protein Phosphatase 2Cs. Plant Physiol. 2012;160:379–395. doi: 10.1104/pp.112.202408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Ali S., Xie L. Plant Growth Promoting and Stress Mitigating Abilities of Soil Born Microorganisms. Recent Pat. Food Nutr. Agric. 2019;10:1. doi: 10.2174/2212798410666190515115548. [DOI] [PubMed] [Google Scholar]
- 48.Iyer L., Koonin E., Aravind L. Adaptations of the Helix-Grip Fold for Ligand Binding and Catalysis in the START Domain Superfamily. Proteins. 2011;43:134–144. doi: 10.1002/1097-0134(20010501)43:2<134::AID-PROT1025>3.0.CO;2-I. [DOI] [PubMed] [Google Scholar]
- 49.Fujii H., Chinnusamy V., Rodrigues A., Rubio S., Antoni R., Park S.-Y., Cutler S.R., Sheen J., Rodriguez P.L., Zhu J.-K. In Vitro Reconstitution of an Abscisic Acid Signalling Pathway. Nat. Cell Biol. 2009;462:660–664. doi: 10.1038/nature08599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Kulik A., Wawer I., Krzywińska E., Bucholc M., Dobrowolska G. SnRK2 Protein Kinases—Key Regulators of Plant Response to Abiotic Stresses. OMICS. 2011;15:859–872. doi: 10.1089/omi.2011.0091. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Shahid M.A., Sarkhosh A., Khan N., Balal R.M., Ali S., Rossi L., Gómez C., Mattson N., Nasim W., Garcia-Sanchez F. Insights into the Physiological and Biochemical Impacts of Salt Stress on Plant Growth and Development. Agronomy. 2020;10:938. doi: 10.3390/agronomy10070938. [DOI] [Google Scholar]
- 52.Khan N., Zandi P., Ali S., Mehmood A., Shahid M.A., Yang J. Impact of Salicylic Acid and PGPR on the Drought Tolerance and Phytoremediation Potential of Helianthus annus. Front. Microbiol. 2018;9:2507. doi: 10.3389/fmicb.2018.02507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Miao J., Li X., Li X., Tan W., You A., Wu S., Tao Y., Chen C., Wang J., Zhang D., et al. OsPP2C09, a Negative Regulatory Factor in Abscisic Acid Signaling, Plays an Essential Role in Balancing Plant Growth and Drought Tolerance in Rice. New Phytol. 2020;227:1417–1433. doi: 10.1111/nph.16670. [DOI] [PubMed] [Google Scholar]
- 54.Ju L., Jing Y., Shi P., Liu J., Chen J., Yan J., Chu J., Chen K.-M., Sun J. JAZ proteins modulate seed germination through interaction with ABI 5 in bread wheat and Arabidopsis. New Phytol. 2019;223:246–260. doi: 10.1111/nph.15757. [DOI] [PubMed] [Google Scholar]
- 55.Mustilli A.-C., Merlot S., Vavasseur A., Fenzi F., Giraudat J. Arabidopsis OST1 Protein Kinase Mediates the Regulation of Stomatal Aperture by Abscisic Acid and Acts Upstream of Reactive Oxygen Species Production. Plant Cell. 2002;14:3089–3099. doi: 10.1105/tpc.007906. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Khan N., Bano A., Ali S., Babar A. Crosstalk Amongst Phytohormones From Planta and PGPR Under Biotic and Abiotic Stresses. Plant Growth Regul. 2020;90:189–203. doi: 10.1007/s10725-020-00571-x. [DOI] [Google Scholar]
- 57.Libault M., Farmer A., Joshi T., Takahashi K., Langley R.J., Franklin L.D., He J., Xu D., May G., Stacey G. An Integrated Transcriptome Atlas of the Crop Model Glycine Max, and Its Use in Comparative Analyses in Plants. Plant J. 2010;63:86–99. doi: 10.1111/j.1365-313X.2010.04222.x. [DOI] [PubMed] [Google Scholar]
- 58.Goodstein D.M., Shu S., Howson R., Neupane R., Hayes R.D., Fazo J., Mitros T., Dirks W., Hellsten U., Putnam N., et al. Phytozome: A Comparative Platform for Green Plant Genomics. Nucleic Acids Res. 2011;40:D1178–D1186. doi: 10.1093/nar/gkr944. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Kumar S., Stecher G., Li M., Knyaz C., Tamura K. MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. Mol. Biol. Evol. 2018;35:1547–1549. doi: 10.1093/molbev/msy096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Chen C., Chen H., Zhang Y., Thomas H.R., Frank M.H., He Y., Xia R. TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data. Mol. Plant. 2020;13:1194–1202. doi: 10.1016/j.molp.2020.06.009. [DOI] [PubMed] [Google Scholar]
- 61.Letunic I., Bork P. 20 Years of the SMART Protein Domain Annotation Resource. Nucleic Acids Res. 2017;46:D493–D496. doi: 10.1093/nar/gkx922. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Voorrips R.E. MapChart: Software for the Graphical Presentation of Linkage Maps and QTLs. J. Hered. 2002;93:77–78. doi: 10.1093/jhered/93.1.77. [DOI] [PubMed] [Google Scholar]
- 63.Rombauts S., Déhais P., Van Montagu M., Rouzé P. PlantCARE, a Plant Cis-Acting Regulatory Element Database. Nucleic Acids Res. 1999;27:295–296. doi: 10.1093/nar/27.1.295. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.