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Article

Genome-Wide Analysis of bZIP Transcription Factor Family and Its Expression in Graft Healing of Soapberry (Sapindus mukorossi Gaertn.)

State Key Laboratory for Efficient Production of Forest Resources, Key Laboratory of Silviculture and Conservation of the Ministry of Education, National Energy R&D Center for Non-Food Biomass, Ministry of Education of Engineering Research Centre for Forest and Grassland Carbon Sequestration, College of Forestry, Beijing Forestry University, Beijing 100083, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2025, 26(10), 4862; https://doi.org/10.3390/ijms26104862
Submission received: 6 March 2025 / Revised: 14 May 2025 / Accepted: 15 May 2025 / Published: 19 May 2025
(This article belongs to the Special Issue The Role of Phytohormones in Plant Biotic/Abiotic Stress Tolerance)

Abstract

:
The Basic Leucine Zipper (bZIP) transcription factors play a vital role in plant responses to abiotic stress. Despite being studied in various plant species, the function of the bZIP gene family in Soapberry (Sapindus mukorossi Gaertn.), a significant tree species for forestry biomass energy, remains unclear. In this study, we conducted a genome-wide analysis of the bZIP gene family in Soapberry, based on the observation that bZIP transcription factors were enriched in the transcriptome data of Soapberry-grafted stem segments, as revealed by both GO and KEGG analyses. For the first time, we identified 31 SmbZIPs and provided detailed information regarding their physicochemical characteristics, gene structures, protein motifs, phylogenetic relationships, cis-regulatory elements (CREs), and predicted transcriptional regulatory networks. According to our prediction of the SmbZIP-mediated regulatory network and CREs in the promoter region, SmbZIPs may be associated with plant growth and development as well as responses to mechanical wounding stress. By integrating RT-qPCR and RNA-seq analyses, we determined that the expression patterns of SmbZIPs were specific to the graft-healing stages and locations. In conclusion, our study elucidates the potential role of the bZIP gene family in responding to plant wounding stress and facilitating graft healing, thereby providing valuable insights for future functional genomics studies of Soapberry.

1. Introduction

Plants encounter various abiotic stressors, including high salinity, drought, low temperatures, and mechanical wounding, during their growth and development. Numerous molecular, cellular, physiological, and biochemical responses have been established to counteract these pressures [1]. Among these responses, transcription factors play a crucial role in the transmission of stimulus signals and the activation of genes involved in stress responses [2]. Recent studies have identified several families of transcription factors, including Basic Leucine Zipper (bZIP), NAM-ATAF-CUC (NAC), APETALA2/Ethylene Responsive Factor (AP2/ERF), and MY-ELOB-LASTOSIS (MYB), that are associated with the abiotic stress response [3,4,5,6]. In particular, bZIP transcription factors are essential for enhancing plants’ resilience to abiotic stressors.
The bZIP family is one of the largest and most diverse transcription factor (TF) families, named after its conserved bZIP domain. The structural characteristics that define the bZIP domain, comprising approximately 60–80 amino acid residues, include the following: (1) a C-terminal region characterized by a leucine zipper motif containing the L-x6-L-x6-L core sequence, which consists of various repeated leucine or other hydrophobic amino acids [7]; (2) an N-terminal region that is basic and contains a nuclear localization signal along with an N-x7-R/K motif that binds to specific DNA cis-elements [8]. Interactions between the hydrophobic surfaces in this region frequently lead to the formation of homo- or hetero-dimers in the form of α-helices. bZIP proteins preferentially bind to DNA sequences featuring an ACGT core, which includes the A-box, C-box, and G-box [9]. Furthermore, bZIP transcription factors have been extensively utilized in genetic engineering to enhance plant stress resistance across various species, including barley (Hordeum vulgare), soybean (Glycine max), tribulus clover (Medicago truncatula), and Arabidopsis (Arabidopsis thaliana). The response of AtbZIP29 to osmotic stress in Arabidopsis has been documented [10]. Overexpression of MtbZIP2 and MtbZIP26 has been shown to improve the salt tolerance of plants [11]. Additionally, increased expression of GmbZIP102 [12] and HvABI5 [13] has been demonstrated to aid plants in adapting to drought stress. The number of bZIP genes varies among species, ranging from 53 in Chinese chestnut (Castanea mollissima) [14], 55 in grape (Vitis vinifera) [15], 69 in tomato (Solanum lycopersicum) [16], 92 in barley [17], 114 in apple (Malus domestica) [18], 125 in maize (Zea mays) [19], to over 200 in rapeseed (Brassica napus) [20]. However, the identification and functional characterization of bZIP genes in Soapberry (Sapindus mukorossi) remain unreported.
Soapberry is recognized as an excellent tree species for biomass energy, possessing significant economic, ecological, and cultural value [21]. The elite cultivated varieties of Soapberry utilize grafting techniques to accelerate breeding and maintain stable, desirable traits. However, grafting involves severing vascular bundles [22], which subjects the plant to abiotic stressors, including mechanical damage and water stress during the initial healing phases [23]. Transcriptome analysis of grafted Soapberry stem segments reveals that the bZIP transcription factor SmABI5 is significantly up-regulated in the early stages of graft healing. We hypothesize that bZIP members act as critical regulators of abiotic stress in plants, facilitating Soapberry graft healing by responding to water stress and mechanical injury early in the healing process. Therefore, the availability of the complete Soapberry genome provides an excellent opportunity to assess the bZIP genes in Soapberry and explore their potential roles in abiotic stress adaptation.
In this study, we identified a total of 31 SmbZIP genes based on the Soapberry genome. We provided a comprehensive characterization of these genes, including their physicochemical properties, chromosomal locations, gene structures, motif compositions, evolutionary relationships, cis-regulatory elements (CREs), collinearity analyses, and transcription factor (TF) regulatory networks. Our findings may clarify the potential roles of the bZIP gene family in Soapberry’s response to mechanical damage stress. Furthermore, transcriptome data from various healing stages of scions and rootstocks after grafting indicate that SmbZIP genes exhibit tissue-specific expression across different regions and times in the grafted stem segments of Soapberry. Overall, our findings enhance the understanding of the evolution and future roles of the bZIP family while establishing a foundation for the effective breeding, comprehensive development, and utilization of superior Soapberry cultivars.

2. Results

2.1. Examining Differentially Expressed Genes in Soapberry Associated with Graft Union

We employed RNA-sequencing technology to analyze the gene expression profiles of Soapberry at different healing stages after grafting. The correlation and cluster analyses between biological replicate samples showed the dependability of the transcriptome data. The initial phase following grafting is a critical time for wound healing [24]. In the study of genes linked to abiotic stress reactions, identifying the important genes during the wound response stage is significant. The S2 vs. S1 comparison group has 2593 differentially expressed genes (DEGs) based on an analysis of RNA-seq data. These DEGs’ GO (gene ontology) functional analysis revealed that they were enriched in processes like cell wall, stimulus–response, and phenylpropanoid biosynthesis (Figure 1a). In the meantime, transcription factors and plant hormone signal transduction were among the KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways that these DEGs enhanced (Figure 1b). Notably elevated in both S1 and S2 was ABA-insensitive 5/DPBF1 (ABI5), which was found in both investigations. We hypothesize that the particular expression of the ABI5 transcription factor in the bZIP gene family contributes to the initial wound healing rate in plants.

2.2. Identification and Characterization of SmbZIPs in Soapberry

The whole-genomic protein sequences of Soapberries were searched using the bZIP domain (PF00170) and the basic region leucine zipper domain (PF07716) using the Hidden Markov Model (HMM) and BLASTp methods [9]. We further improved the integrity and dependability of the SmbZIP candidates based on the modifications in the amino acid sequences [25]. Following the elimination of unnecessary and redundant genes, 31 SmbZIPs were found in the Soapberry genome and given names based on where they were found on the chromosome (Table S1). A multiple-sequence alignment of the SmbZIP amino acid sequences was carried out to investigate the conserved domains of the discovered SmbZIP proteins. All 31 SmbZIP proteins have a conserved domain composed of a basic DNA-binding region and a nearby leucine zipper structure, according to the data (Figure 2). The ZIP domain is made up of heptad repeats of leucine (L) or other hydrophobic amino acids, whereas the basic DNA-binding region has an invariant N-X7-R/K pattern [26]. The number of repeat sequences varies as a result of the occasional substitution of isoleucine, methionine, and more for the highly conserved leucine residues [9]. Our findings are in line with earlier research on poplar (Populus przewalskii) and Arabidopsis [9,27]. This means that the SmbZIP members vetted by Soapberry are trustworthy. After that, we analyzed their physicochemical characteristics.
The average length of the SmbZIP gene family’s coding sequence is 949 base pairs (bp), with a range of 348 to 2091 bp. The average length of the bZIP protein sequences is 315 amino acids, with a range of 115 to 696 amino acids. The majority of the encoded SmbZIP proteins are hydrophilic (Aliphatic Index < 100), acidic (Theoretical pI < 7), and unstable (Instability Index > 40) proteins, with an average molecular mass of 35.23 kDa. Meanwhile, the findings of SmbZIPs’ subcellular localization show that they are all found in the nucleus. This finding is in agreement with the conventional knowledge of transcription factors, which holds that the nucleus is where transcription factors regulate gene transcription [28]. These results support earlier observations in other plant species [14,29] and offer a theoretical foundation for more SmbZIP protein purification, activity, and functional research.

2.3. Chromosomal Location and Analysis of SmbZIPs

To investigate the chromosomal locations of bZIP genes in the Soapberry genome, we performed in silico mapping analysis of the genetic loci. In accordance with our research, the 14 Soapberry chromosomes have an unequal distribution of the 31 SmbZIPs (Figure 3). In particular, chr02 received nine SmbZIPs, whereas chr04 and chr08 received none. Different gene duplication modes, including whole-genome, tandem, and proximal duplication, are responsible for the growth of gene families [30]. Every duplication method is thought to be a significant factor in the evolution of species and makes an individual contribution to evolution [31]. To uncover the gene duplication events in Soapberry, researchers used the MCScanX approach to conduct an analysis [32]. Two pairs of tandem gene duplications and nine pairs of chromosomal segment duplications were found. Based on our findings, the primary mechanism behind the evolution of SmbZIPs is chromosomal segment duplication events, which is in line with the published studies on bZIPs in Chinese chestnuts [14]. All of these processes can be regarded as ways for species to diversify and adapt to unfavorable external circumstances [33].
This study used the One-Step MCScanX-Super Fast function in the TBtools program to calculate the non-synonymous substitution rate (Ka), synonymous substitution rate (Ks), and Ka/Ks ratio of conjugate gene pairs to understand the selection pressure impacting the evolution of SmbZIPs (Table S2). To ascertain whether a selection pressure is operating on a protein-coding gene, one can use the Ka/Ks ratio of two protein-coding genes [34]. As a result, this ratio was chosen to represent the species’ evolutionary selection. The research results showed that most of the computed Ka/Ks ratios were less than 1, suggesting that strong purifying selection had an important impact on the evolution of the SmbZIP family. For certain synonymous gene pairs, the ratio could not be calculated (the value was displayed as “NaN”). This could be a result of the majority of these genes’ mutation sites being synonymous, which indicates an enormous sequence divergence and a lengthy evolutionary distance [35].

2.4. Phylogenetic Relationship and Collinearity Analysis of SmbZIPs

To explore the evolutionary relationships of the bZIP gene family among different plant species, we merged the protein sequences of bZIPs from Soapberry, Arabidopsis, and apple. We then used MEGA11 to create a maximum-likelihood (ML) phylogenetic tree (Figure 4a). The 13 groups of Arabidopsis’s bZIP family members are named after their important genes (e.g., A for ABF/AREB/ABI5, C for CPRF2-like, G for GBF, H for HY5), their protein size (B for large, S for small), or alphabetically [9]. The phylogenetic analysis reveals that the 272 bZIP proteins from the three species may be separated into 12 subgroups (A–K, S) based on earlier research on Arabidopsis and apples [9,18]. Each of the 12 groups has a different number of members. Group D (9) and Group S (6) are both of the larger groups. Groups A, C, and G all have four members each, while Groups E, F, I, and J do not have SmbZIPs. Although C, E, G, I, and S are all members of the same subcluster, their distributions differ significantly, indicating that they may have shared an ancestor but that the distribution of these genes in the species has been impacted by evolutionary diversity. To demonstrate the homologous relationships of bZIP genes in various species, using four representative species—three dicotyledonous plants (Arabidopsis, apple, and grape) and one monocotyledonous plant (rice)—a collinearity map was created (Figure 4b). The findings revealed a tight genetic connection between SmbZIPs and MdbZIPs, with the former displaying more homology (Table S3).
Furthermore, Soapberry has a higher collinearity with the genomes of dicotyledonous plants than with those of monocotyledonous plants, indicating that most of these orthologous pairings formed subsequent to the divergence of monocotyledons and dicotyledons. Among them, a close evolutionary link between the chosen species is indicated by the 13 SmbZIPs that exhibit homologous relationships with the 4 example species (Table S3). Plus, these genes may have conserved evolutionary activities and have greatly influenced the development of the bZIP family. The comparison of the SmbZIP family with those of other species provides a research reference for examining the genetic relationships and gene functions among species.

2.5. Gene Structure, Conserved Motif Analysis of SmbZIPs

Determining the connection between the bZIP gene family’s evolution and functional differentiation requires the use of gene structure analysis. To examine the structural characteristics of 31 SmbZIPs, 10 conserved motif patterns, designated motif 1–10 (Figure 5), were found using MEME motif analysis. Every member possesses a minimum of two motifs. Of these, Group D (SmbZIP4, SmbZIP5, and SmbZIP27) has the highest number of motifs (7) and the same motif order. Although different motifs appeared in different subgroups, the existence of similar motif structures in bZIP members of the same subgroup indicates that these proteins are relatively conserved. This outcome further supports the validity of the SmbZIP gene family classification. Moreover, motif 1 is present in all SmbZIP members, which contains the highly conserved N-x7-R/K motif that binds to particular DNA sequences and is the primary feature of the bZIP conserved domain [7]. Using the Soapberry GFF annotation file, the arrangement of exons and introns in the open reading frames of SmbZIPs was examined in order to better understand the evolution of bZIP genes in Soapberry. Group S is home to the majority of intron-less genes, which is consistent with studies on Arabidopsis [7,9]. This suggests that there is a strong correlation between gene structure and the evolutionary relationships between members of the gene family (Figure 5).

2.6. Prediction Analysis of SmbZIP-Mediated Regulatory Network

Multiple TFs regulate gene expression [30]. To forecast the transcriptional regulatory linkages mediated by SmbZIPs, the promoter sequences were examined in the PlantRegMap database. A total of 447 TFs from 39 TF families were found to be putative transcription factors for SmbZIPs (Figure 6a, Table S4). According to the prediction results, the ERF family’s TFs are the most prevalent (72), followed by the MYB family’s (51). In contrast, there is only one component in each of the ARR-B, FAR1, GRAS, GRF, NF-YB, RAV, and S1Fa-like families. Conversely, SmbZIP6 has the most regulatory factors (100) of any SmbZIP, next to SmbZIP1 and SmbZIP28 (86). Multiple members from several TF families target the SmbZIPs in Group E. The BBR-BPC family’s targets are the most enriched among them (16). Members of AP2 (15) are expected to target SmbZIP23, B3 (15) will target SmbZIP29, bHLH (22) will target SmbZIP11, and NAC (14) will target SmbZIP14. Furthermore, this study discovered that grafting investigations have documented six of the top eight highly enriched gene families, which are TCP, B3, CPP, ZF-HD, HD-ZIP, Dof, MYB, and bZIP (Figure 6b). For instance, HD-ZipIII controls the vascular cambium’s xylem properties and stem cells’ organizing capabilities [36,37]. The xylem formation gene cluster is located downstream of MYB86 [38]. Dof is activated by cell wall disruption and aids in tissue regeneration and wound healing in Arabidopsis [39]. By selectively binding to cell-cycle regulators and genes involved in cell wall regeneration, AtbZIP29 facilitates tissue regeneration. Due to these results, they might be crucial in controlling the plant graft-healing process [10]. The aforementioned findings indicate that the SmbZIP-mediated regulatory network may be connected to the networks of plant growth and development as well as the response to stress caused by mechanical injury.

2.7. Analysis of Cis-Regulatory Elements of SmbZIPs

Gene expression depends on CREs. TFs work with the matching CREs found in the promoter regions of stress-responsive genes to encourage the buildup of functional proteins, thereby increasing plant stress tolerance [40]. The sequences in the 2000 bp region upstream of the transcription start sites of 31 SmbZIP genes were evaluated in the PlantCARE database for the purpose of gaining a better understanding of the potential roles of SmbZIPs in plant growth and development, plant hormones, and stress responses. Figure 7a shows the typical CREs out of the 756 CREs that were anticipated (Table S5). SmbZIP9 in Group D had the fewest distributed CREs (9) among them, but SmbZIP18 and SmbZIP28 in Group S had the most (37) (Figure 7b). They were separated into three main groups based on their functions (Figure 7c): (i) Auxin responsiveness (IAA, 9.9%), salicylic acid responsiveness (SA, 9.4%), gibberellin responsiveness (GA, 14.6%), abscisic acid responsiveness (ABA, 25.5%), and MeJA-responsiveness (40.6%) are among the hormone responses (192). Among them, ABRE, CGTCA-motif, and TGACG-motif, which are involved in ABA response and MeJA response, were more prominent (Figure 7a). Further, 10 typical hormone-responsive elements were found in the promoter region of SmbZIP28, showing that it may react to particular hormones more quickly and robustly. (ii) Associated with plant development and growth (429), such as meristem expression (2.6%), endosperm expression (2.3%), circadian control (1.9%), and light response (93.2%). Elements associated with the light response act extensively on the promoter regions of SmbZIPs. Plant bZIPs typically preferentially bind to palindromic or pseudo-palindromic cis-regulatory elements with an ACGT core, such as the G-box, A-box, and ABRE, in accordance with pertinent research [7,9]. Furthermore, 10 growth and development-related representative elements were discovered in the promoter region of SmbZIP11, indicating that it may have an important regulatory function in the process of plant growth and development. (iii) Associated with biotic and abiotic stressors (123), such as wound responsiveness (3.2%), defense and stress response (6.5%), low-temperature responsiveness (10.6%), anaerobic induction (60.2%), and drought inducibility (MYB, 19.5%). While the drought-inducible element (MBS) and wound-responsive element (WUN motif) mainly appeared in Group D of SmbZIPs, the ARE element, which is implicated in anaerobic induction, appears in nearly all SmbZIPs (Figure 7a). The findings demonstrated that distinct SmbZIPs have variable numbers and compositions of CREs in their promoter regions. Numerous CREs linked to hormones, plant growth and development, and stress responses may control the functional expression of bZIP genes in Soapberry.

2.8. SmbZIP Gene Expression in Scion and Rootstock Tissues

To validate the expression patterns of SmbZIP genes related to the response to mechanical injury, we used the unpublished transcriptome data of Soapberry grafted stem segments to calculate the fragments per kilobase of transcript per million mapped reads (FPKM). High, medium, and low expression levels are denoted by red, white, and blue in the heatmap, respectively. The pertinent expression levels were grouped (Figure 8). During the S1 stage, SmbZIP6, SmbZIP26, and SmbZIP28 were substantially expressed and activated in Group S, and the scions’ expression levels were greater than the rootstocks’. During the S2 and R2 stages, members of Group D (SmbZIP8, SmbZIP17, SmbZIP20, and SmbZIP31) displayed up-regulated expression, which was followed by a decrease in expression levels. This suggests that the presence of scions corresponds to the reactions in the grafted rootstocks and that SmbZIP genes have functional biases towards both rootstocks and scions, meaning they are specific to direction and time. During the rootstock–scion connection stage, members of Group K (SmbZIP22) and Group H (SmbZIP24) exhibited comparatively high expression levels. Interestingly, most SmbZIPs had high expression levels throughout the R4 and S5 stages, but the great majority of members had low expression levels during the R1 stage. The activation of genes linked to vascular reconnection may be connected to the elevated gene expression of SmbZIPs.

2.9. Analysis of qRT-PCR Gene Expression in SmbZIP Gene Famliy

To validate the RNA-Seq results, we employed quantitative real-time PCR (qRT-PCR) to measure the expression levels of six DEGs in different regions during the graft-healing process after selecting them at random. SmbZIP6 was substantially expressed in the scion at the first stage (S1), whereas SmbZIP28 displayed a higher expression level in the rootstock in the second stage (R2), as shown in Figure 9. Following the cell division stage and the rootstock–scion connection stage (i.e., stages 2 and 3), the expression levels of SmbZIP11 and SmbZIP17 declined. Additionally, the RNA-Seq results and the qRT-PCR results for SmbZIP1 and SmbZIP12 were essentially in agreement.

3. Discussion

The two primary issues currently impacting global development are the energy crisis and climate change [41]. Future energy solutions must fulfill the requirements for renewable energy and low carbon emissions [42]. A pivotal pathway for China’s energy transition involves replacing fossil fuel usage with forestry biomass energy, driven by the principle of not competing with food crops for land [43]. However, the cultivation of Soapberry, a significant source of forestry biomass energy, is hindered by a lengthy development cycle and genetic instability. Consequently, grafting techniques are essential for preserving its desirable and stable traits while reducing breeding time. In this context, a critical phase in genetic improvement through genetic engineering approaches is the identification of beneficial gene resources that enhance graft healing. Given the importance of bZIPs in plant responses to abiotic stress and the enrichment of SmABI5 in both GO and KEGG analyses of the transcriptome data from grafted stem segments of Soapberry, it is logical to conduct an in-depth investigation of bZIPs to identify potential candidates involved in the mechanical damage response.
This study found 31 SmbZIPs using the genomic data from the first edition of the Soapberry genome. According to previous research, gene families typically experience tandem or segmental duplication during the evolutionary process, which results in the emergence of new gene functions and expression patterns while preserving the family’s size [44]. The number of bZIP genes in various species varies as well because the mutation rates of bZIP genes change during gene duplication [9,45]. The expansion of the SmbZIP gene family was primarily accomplished through chromosomal segmental duplication, according to the investigation of the collinear relationship among SmbZIPs. Additionally, tandem duplication is essential for the formation of abiotic stress-responsive genes [46]. It is interesting to note that Soapberry only has one set of tandem repeats of the bZIP genes, which is in keeping with research conducted on rice and poplar [8,27]. These findings imply that segmental duplication has contributed substantially to the bZIP gene family’s growth.
Multiple sequence alignments show that the conserved bZIP domains in Soapberry and Arabidopsis are identical [14,18]. Based on the bZIP family’s evolutionary research, AtbZIPs are divided into 13 different groups. The 31 members of Soapberry were split up into 12 subgroups (A-K, S) based on their similarities with AtbZIPs. Throughout development, members of Groups D and S have a prominent position, typically having a larger subclass and a comparatively high number. Interestingly, many patterns appear in particular groupings, which could be connected to particular biological processes. Only Group A, which includes the ABF/AREB subgroup, contains motif 9. Abiotic stress triggers the transcription of factors in the ABF/AREB subgroup, which are then post-transcriptionally activated in the ABA signaling pathway to start an adaptive response [47]. Motif 9 might contain cis-elements for genes activated by abscisic acid. During the plant’s healing phase, grafting operations may cause water stress. Water deficiency can be tolerated by transgenic Arabidopsis that overexpresses AtABF2 and AtAREB1 [48,49]. To show the evolutionary links between species and to find potential orthologs and paralogs, phylogenetic analysis is frequently used. Homologous genes typically maintain comparable roles and cluster into the same subgroup [50]. Consequently, we performed a functional prediction on the members of Clade A that contain the ABF/AREB subgroup (SmbZIP2, SmbZIP3, SmbZIP10, and SmbZIP17) and are more likely to be involved in controlling the wound response during the early stages of graft healing. Notably, the transcriptome data of the Soapberry grafted stem segments revealed that SmbZIP17 is exactly the differentially expressed and up-regulated gene SmABI5. In addition, motif 10 is exclusive to Group C. Sugar signaling in plants has been linked to a number of bZIP transcription factors in Group C, including bZIP9, 10, 25, and 63 [51]. Studies have demonstrated that sugar is not only necessary for graft healing but also facilitates the growth of grafted plants [52,53]. We hypothesize that motif 10 might have particular binding sites for glycosyl synthesis or transfer and that overexpressing Group C members might also aid in Soapberry graft healing. Phylogenetically conserved components of SmbZIPs consistently have similar exon–intron architectures and motifs, as shown in other plants, including apples and Chinese chestnuts [14,16]. This suggests that different bZIP proteins might have similar functions. Motif 1 is the most conserved of the 10 conserved motifs found in all SmbZIP proteins. It has a conserved bZIP domain, which is essential to these TFs’ functional specificity [7].
We discovered that genes in Group S hardly ever include introns based on the findings of gene structure analysis. Their compact gene structure suggests their possible role in plants’ quick reaction to different abiotic stressors [54]. The number of regulatory variables for SmbZIP6 and SmbZIP28 in Group S is comparatively high, as expected, given the regulatory network mediated by SmbZIPs. In biological signal transduction pathways, transcription factors’ binding to the CREs in the promoter region is crucial for gene expression [55]. The promoter regions of SmbZIPs were shown to have a variety of regulatory components linked to hormone control, growth and development, and stress response. These elements included those involved in anaerobic induction, abscisic acid-responsive elements, and light-responsive elements. By specifically targeting the G-box, HY5, the bZIP transcription factor can form a dynamic activation-repression transcriptional module with PIF that reacts to temperature and light, according to research by G. Toledo-Ortiz et al. [56]. ThbZIP1 binds to the A-box of stress-response genes in bristly tamarisk (Tamarix hispida), regulating the expression of downstream genes [57]. Induced by environmental stress, the ABRE containing ACGT encodes bZIP TFs (AtABF1, AtABF2, AtABF3, and AtABF4) in Arabidopsis, which plays a role in salt and drought tolerance [58]. Evidently, the co-presence of three different CREs in the promoter region of SmbZIPs may be strongly related to the potential regulatory influence of SmbZIPs on plant growth and development under abiotic stress. Additionally, we observed that SmbZIP28 contains a number of CREs associated with plant growth and development (light responsiveness, circadian control, endosperm expression), hormone response (MeJA responsiveness, abscisic acid responsiveness, gibberellin responsiveness, Auxin responsiveness, salicylic acid responsiveness), and stress response (low-temperature responsiveness, defense and stress responsiveness). It means that SmbZIP28 may be a critical regulator of plant growth and development in addition to being a significant regulator of plant response to mechanical damage stress.
This study investigates the transcriptional levels of SmbZIP genes under abiotic stress in a time- and tissue-specific manner. Despite the constraints of sampling time points, the Soapberry internodes exhibited a similar pattern. In contrast, SmbZIP6 and SmbZIP28 expression levels in the scion and rootstock of Group S displayed opposing patterns during the early phases of the wound response. We speculate that during the initial stage of the wound response, the gene expression level in the tissue below the incision induced by grafting approaches the high expression level in the tissue above the incision. This suggests that the presence of the scion promotes the response in the grafted rootstock. A gene’s function is often partially reflected in the degree of its expression at various time points and in different tissues [59]. The expression of SmbZIP10 and SmbZIP18 was exclusively elevated during the vascular reconnection stage, leading us to postulate that SmbZIP10 and SmbZIP18 contribute to the onset of phloem and xylem reconnection, which warrants further investigation. Rt-qPCR tests confirmed the expression pattern of each gene during graft healing and validated the accuracy of the transcriptome data from the grafted stem segments of Soapberry in this study.
Recent studies have identified certain gene expression patterns that correlate with the morphological changes occurring during the graft-healing process. Notaguchi et al. generated virus-induced gene silencing (VIGS) and overexpression lines, demonstrating that NbGH9B in tobacco (Nicotiana benthamiana) plays a significant role in cell wall repair at the grafting interface using a wedge grafting approach [60]. In tomato, CRISPR-Cas9-mediated knockdown of SIWOX4, followed by oblique/wedge grafting, confirmed its crucial role in vascular reconnection at the graft junction [38]. In summary, SmbZIP11, SmbZIP17, and SmbZIP28 are important candidate genes for further investigation and detailed characterization to elucidate their roles in graft healing.

4. Materials and Methods

4.1. Plant Materials

The scion was sourced from the ‘YUANHUA’ clone, while the rootstock utilized in this study comprised two-year-old ‘YUANHUA’ seedlings grown from seeds. The ‘YUANHUA’ clone and seeds of Soapberry from Soapberry National Forest Germplasm Banks in Jianning County, Fujian Province, China (26°49′N, 116°52′E, 300 m above sea level). The upper, sunlit portion of the rootstock was selected for grafting. Grafting was performed using the cut technique, with an incision length of approximately 1.5 cm. Following grafting, the plants were maintained at a temperature of 17.5 ± 2.8 °C under a relative humidity of 77 ± 3%. The four main stages of the Soapberry graft-healing process are the wound response stage (0–12 days post-grafting, indicated as d), the cell division stage (13–19 d), the scion–rootstock connection stage (20–24 d), and the vascular reconnection stage (25–60 d), according to research our group conducted [24]. The rootstock and scion stem segments were taken at five different time intervals after grafting: 7 d, 14 d, 21 d, 30 d, and 45 d. With ‘R’ standing for the rootstock and ‘S’ for the scion, these segments were numbered R1, R2, R3, R4, and R5 for the rootstock and S1, S2, S3, S4, and S5 for the scion, respectively. The specimens were kept in liquid nitrogen as soon as they were sampled. The FinePure Plant Total RNA Extraction Kit (GENFINE BIOTECH Co., Ltd., Beijing, China) was used to extract the samples’ total RNA. The quality of the extracted RNA was next evaluated using the Bioanalyzer 2100 (Agilent, Palo Alto, CA, USA) to ensure the samples met the requirements for generating cDNA libraries. Beijing YUANYI BIOTECH Co., Ltd. (Beijing, China) was responsible for the library’s high-throughput sequencing (Illumina HiSeq X Ten, San Diego, California, USA). High-quality clean data were produced after low-quality sequences, adapter sequences, and sequences with uncertain base N were eliminated from the raw data acquired from high-throughput sequencing [61]. Using programs like HISAT2 (v2.2.1), RSeQC (v4.0.0), and String Tie (v2.2.3), the clean data were subsequently put through sequence alignment and transcript assembly with the Soapberry reference genome that our research team had previously created [62].

4.2. Gene Screening for Differential Expression

Each transcript’s read count was determined, and the abundance value of gene expression was measured using the FPKM (fragments per kilobase of transcript per million fragments mapped). The study of differential gene expression between samples was carried out using DESeq2 (v1.20.0) [63]. DEGs were defined as genes having a Benjamini–Hoffberg adjusted p-value < 0.05 and |log2(fold change)| > 1. R (v4.1.0) software was used to conduct the KEGG and GO enrichment analysis of the DEGs. The Bioinformatics Cloud Platform (https://www.bioinformatics.com.cn/login/, accessed on 11 August 2022) was used to visualize the results.

4.3. Identification of bZIP Genes in Soapberry

The National Genomics Data Center (NGDC) database (https://ngdc.cncb.ac.cn, accessed on 3 December 2024) provided the most recent annotation files for the Soapberry reference genome, which were used to build a local database. In the meantime, the entire genome’s Genome-Wide Haplotype (GWH) number is WGS069104, which is available on PRJCA019364. The Arabidopsis genome-wide information was obtained from the Arabidopsis Information Resource (TAIR) database (http://www.arabidopsis.org/, accessed on 3 December 2024) in order to identify every possible member of the bZIP genes in Soapberry. BLASTp (Basic Local Alignment Search Tool for proteins) was used to search the Soapberry genome using the amino acid sequences of 127 AtbZIP proteins as a reference. For the TBtools (v2.146) program [64], the E-value (≤1 × 10−5) and identity match (≥50%) were established as the cutoff points. The Hidden Markov Model (HMM) profiles of the basic region leucine zippers (PF07716) and bZIP domain (PF00170) were downloaded from the Protein Family (Pfam) database (http://pfam-legacy.xfam.org/, accessed on 3 December 2024) [65]. An E-value (≤1 × 10−5) was utilized as the standard domain for HMM homologous sequence searches with HMMER 3.3.1 (http://hmmer.org/download.html, accessed on 3 December 2024) [66]. To further confirm candidate protein sequences, the putative SmbZIPs found by the BLASTp and Hmmer searches were filtered, combined, and then added to the NCBI Conserved Domain Database (https://www.ncbi.nlm.nih.gov/cdd/, accessed on 3 December 2024). The REtrotransposed Gene EXPlorer was used to remove superfluous proteins and pseudogenes [67].

4.4. Analysis of Protein Physicochemical Properties and Chromosomal Distribution

The Gene Location Visualise function in TBtools (v2.146) software [60] was applied to map and identify the chromosomal locations of SmbZIPs based on the genomic annotation data of Soapberry. The gene loci of the SmbZIPs were used to rename them. To predict and assess the physicochemical properties, including the number of amino acids, molecular weight, and theoretical pI, the ExPASy Prot-Param tool (https://web.expasy.org/protparam/, accessed on 6 December 2024) was used [68]. Lastly, WoLF PSORT (https://wolfpsort.hgc.jp/, accessed on 6 December 2024) estimated the protein’s subcellular location [69].

4.5. Multiple Sequence Alignment and Phylogenetic Analysis

The complete genome information of the apple (Malus domestica), grape (Vitis vinifera), and rice (Oryza sativa) was obtained from the National Center for Biotechnology Information (NCBI) database (https://www.ncbi.nlm.nih.gov/, accessed on 3 December 2024) and the Genome Database for Rosaceae (GDR) database (https://www.rosaceae.org/, accessed on 3 December 2024) to observe the evolutionary relationship of the bZIP gene family. The Muscle program in MEGA11 software was used to analyze the multiple sequence alignment of SmbZIPs, AtbZIPs, and MdbZIPs with the default parameter settings [70]. The Jones–Taylor–Thornton model (JTT + G) was used to build a maximum-likelihood (ML) phylogenetic tree with the resulting multiple-alignment file. One thousand bootstrap replicates were utilized to assess relative branch support, pairwise genetic distance comparison was utilized to determine branch lengths, and pairwise deletion was utilized for processing missing data. For better visualization, the phylogenetic tree was beautified using the Interactive Tree Of Life (ITOL) v6 online tool (https://itol.embl.de/, accessed on 2 January 2025) [71].

4.6. Analysis of Conserved Motifs and Gene Structure

The Multiple Em for Motif Elicitation (MEME v5.5.7) online application (https://meme-suite.org/meme/, accessed on 11 December 2024) was used to find conserved motifs in the SmbZIP proteins [72]. The maximum number of bases was adjusted to 10 in the program options, while other settings were left at their default defaults. The GFF annotation file of the Soapberry genome provided the intron–exon distribution of the SmbZIP genes. Lastly, the Gene Structure View in TBtools (v2.146) was used to visualize the data [64].

4.7. Analysis of Collinearity

The downloaded genome sequence files and genome structure annotation information files were analyzed using the One-Step MCScanX-Super Fast and File Transformat for MicroSynteny Viewer in TBtools (v2.146) software with the goal of retrieving the collinearity information of bZIP genes both within and between species [64]. To see the collinearity relationships between the members of the bZIP family, all of the output files were loaded into the Advanced Circos in TBtools (v2.146) program. All duplicate gene pairs within SmbZIPs had their Ka and Ks values as well as their Ka/Ks values determined using the Ka/Ks Calculator in the TBtools (v2.146) software.

4.8. Analysis of Cis-Regulatory Elements

The Sequence Toolkit in TBtools (v2.146) software [64] was used to recover the 2000 bp sequences upstream of the start codons of each SmbZIP gene. Potential cis-regulatory elements were then found using the PlantCARE database (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/, accessed on 24 December 2024) [73]. The TBtools (v2.146) software’s Gene Structure View, HeatMap, and Venn functions were used to process and visualize the findings manually.

4.9. Analysis of TF Regulatory Network

The possible regulatory interactions of transcription factors (TFs) in the promoter regions (2000 bp) of SmbZIPs were inferred using the Plant Transcription Regulatory Map (PTRM) (http://plantregmap.gao-lab.org/, accessed on 21 December 2024) [74], a regulatory prediction tool, with a threshold (p-value ≤ 1 × 10−5). Moreover, Arabidopsis was the chosen plant species. The Cytoscape software (v3.9.1) was used to show the predicted TFs as a network [75].

4.10. Expression Patterns of SmbZIP Genes

The transcriptome data of grafted stem segments of Soapberry were normalized using TBtools (v2.146) [64] to produce a gene expression pattern map, which was then utilized to examine the variations in SmbZIP gene expression between the scion and rootstock tissues.

4.11. Quantitative Real-Time PCR Analysis

Using Primer Premier 5.0 [76], specific primers were created and produced by RUIBO XINGKE BIOTECH Co., Ltd. (Beijing, China). Table S6 contains comprehensive primer sequence data. The Taq Pro Universal SYBR qPCR Master Mix reagent (Vazyme, Nanjing, China) was used to perform qRT-PCR analysis on the Applied Biosystems® QuantStudioTM 6 Flex real-time fluorescence quantitative PCR system (Thermo Fisher Scientific, Waltham, MA, USA). To normalize the data, SmACT was employed as an internal reference gene [77]. Every experiment was conducted at least three times on its own. The 2−∆∆Ct technique was used to determine the expression levels [78]. Variance analysis was performed using IBM SPSS (v26), and significance was examined using one-way ANOVA (and nonparametric or mixed). The associations between the expression profiles of six chosen genes identified by RT-qPCR and RNA-seq were shown using Origin (v2021).

5. Conclusions

This study provides the initial description of bZIP genes in Soapberry, focusing on their potential functions in response to plant-damaging stress. A total of 31 SmbZIP genes were identified, distributed unevenly across 14 chromosomes. Most SmbZIPs were characterized as hydrophilic, unstable, and acidic proteins. The SmbZIP gene family was categorized into 12 subgroups based on a phylogenetic tree derived from protein sequences, revealing both sequence conservation and functional divergence among these subgroups. Notably, insights into the potential biological roles of SmbZIPs in plant growth and development, as well as their involvement in mechanical injury stress responses, are elucidated through the SmbZIPs-mediated regulatory network, cis-regulatory elements, and expression patterns observed at various graft-healing stages. Particularly, members of clades A and C, especially SmbZIP11 and SmbZIP17, along with SmbZIP6/28 from Group S, may significantly influence the regulation of wound responses during graft healing. Our research initially examined the genetic relationships among SmbZIPs, establishing a theoretical framework for the functional investigation of key genes involved in Soapberry graft healing. This foundation will facilitate the validation of these genes’ functions and may be leveraged for future genetic engineering initiatives.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms26104862/s1.

Author Contributions

Conceptualization, N.C., L.W., Z.C. and L.J.; original draft preparation, N.C. and L.W.; reviewing and editing, N.C., L.W., Z.C. and L.J.; methodology, data curation and formal analysis, N.C., L.W. and J.Z.; supervision, Z.C. and L.J.; funding acquisition, Z.C. and L.J. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Key Research and Development Program of China (No. 2023YFD2201103), the Special Foundation for National Science and Technology Basic Research Program of China (No. 2019FY100803), and the Innovation and application of new Sapindus species for soap and efficient breeding technology (No. 2023N3005).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The authors declare that the data supporting the findings of this study are available within the paper and its Supplementary Information files. Should any raw data files be needed in another format, they are available from the corresponding author upon reasonable request.

Acknowledgments

I thank all members of the State Key Laboratory for Efficient Production of Forest Resources for useful discussions.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Zhang, H.; Zhao, Y.; Zhu, J.-K. Thriving under Stress: How Plants Balance Growth and the Stress Response. Dev. Cell 2020, 55, 529–543. [Google Scholar] [CrossRef]
  2. Hou, X.; Zhang, H.; Liu, S.; Wang, X.; Zhang, Y.; Meng, Y.; Luo, D.; Chen, R. The NAC Transcription Factor CaNAC064 Is a Regulator of Cold Stress Tolerance in Peppers. Plant Sci. 2020, 291, 110346. [Google Scholar] [CrossRef]
  3. Kollist, H.; Zandalinas, S.I.; Sengupta, S.; Nuhkat, M.; Kangasjärvi, J.; Mittler, R. Rapid Responses to Abiotic Stress: Priming the Landscape for the Signal Transduction Network. Trends Plant Sci. 2019, 24, 25–37. [Google Scholar] [CrossRef]
  4. Shao, H.; Wang, H.; Tang, X. NAC Transcription Factors in Plant Multiple Abiotic Stress Responses: Progress and Prospects. Front. Plant Sci. 2015, 6, 902. [Google Scholar] [CrossRef]
  5. Wang, X.; Niu, Y.; Zheng, Y. Multiple Functions of MYB Transcription Factors in Abiotic Stress Responses. IJMS 2021, 22, 6125. [Google Scholar] [CrossRef]
  6. Guo, Z.; Dzinyela, R.; Yang, L.; Hwarari, D. bZIP Transcription Factors: Structure, Modification, Abiotic Stress Responses and Application in Plant Improvement. Plants 2024, 13, 2058. [Google Scholar] [CrossRef]
  7. Jakoby, M.; Weisshaar, B.; Dröge-Laser, W.; Vicente-Carbajosa, J.; Tiedemann, J.; Kroj, T.; Parcy, F. bZIP Transcription Factors in Arabidopsis. Trends Plant Sci. 2002, 7, 106–111. [Google Scholar] [CrossRef]
  8. Nijhawan, A.; Jain, M.; Tyagi, A.K.; Khurana, J.P. Genomic Survey and Gene Expression Analysis of the Basic Leucine Zipper Transcription Factor Family in Rice. Plant Physiol. 2008, 146, 323–324. [Google Scholar] [CrossRef]
  9. Dröge-Laser, W.; Snoek, B.L.; Snel, B.; Weiste, C. The Arabidopsis bZIP Transcription Factor Family—An Update. Curr. Opin. Plant Biol. 2018, 45, 36–49. [Google Scholar] [CrossRef]
  10. Van Leene, J.; Blomme, J.; Kulkarni, S.R.; Cannoot, B.; De Winne, N.; Eeckhout, D.; Persiau, G.; Van De Slijke, E.; Vercruysse, L.; Vanden Bossche, R.; et al. Functional Characterization of the Arabidopsis Transcription Factor bZIP29 Reveals Its Role in Leaf and Root Development. J. Exp. Bot. 2016, 67, 5825–5840. [Google Scholar] [CrossRef]
  11. Wang, Z.; Cheng, K.; Wan, L.; Yan, L.; Jiang, H.; Liu, S.; Lei, Y.; Liao, B. Genome-Wide Analysis of the Basic Leucine Zipper (bZIP) Transcription Factor Gene Family in Six Legume Genomes. BMC Genom. 2015, 16, 1053. [Google Scholar] [CrossRef]
  12. Zhang, M.; Liu, Y.; Shi, H.; Guo, M.; Chai, M.; He, Q.; Yan, M.; Cao, D.; Zhao, L.; Cai, H.; et al. Evolutionary and Expression Analyses of Soybean Basic Leucine Zipper Transcription Factor Family. BMC Genom. 2018, 19, 159. [Google Scholar] [CrossRef] [PubMed]
  13. Collin, A.; Daszkowska-Golec, A.; Kurowska, M.; Szarejko, I. Barley ABI5 (Abscisic Acid INSENSITIVE 5) Is Involved in Abscisic Acid-Dependent Drought Response. Front. Plant Sci. 2020, 11, 1138. [Google Scholar] [CrossRef] [PubMed]
  14. Zhang, P.; Liu, J.; Jia, N.; Wang, M.; Lu, Y.; Wang, D.; Zhang, J.; Zhang, H.; Wang, X. Genome-Wide Identification and Characterization of the bZIP Gene Family and Their Function in Starch Accumulation in Chinese Chestnut (Castanea mollissima Blume). Front. Plant Sci. 2023, 14, 1166717. [Google Scholar] [CrossRef]
  15. Liu, J.; Chen, N.; Chen, F.; Cai, B.; Dal Santo, S.; Tornielli, G.B.; Pezzotti, M.; Cheng, Z.-M. Genome-Wide Analysis and Expression Profile of the bZIP Transcription Factor Gene Family in Grapevine (Vitis vinifera). BMC Genom. 2014, 15, 281. [Google Scholar] [CrossRef] [PubMed]
  16. Li, D.; Fu, F.; Zhang, H.; Song, F. Genome-Wide Systematic Characterization of the bZIP Transcriptional Factor Family in Tomato (Solanum lycopersicum L.). BMC Genom. 2015, 16, 771. [Google Scholar] [CrossRef] [PubMed]
  17. Zhong, X.; Feng, X.; Li, Y.; Guzmán, C.; Lin, N.; Xu, Q.; Zhang, Y.; Tang, H.; Qi, P.; Deng, M.; et al. Genome-Wide Identification of bZIP Transcription Factor Genes Related to Starch Synthesis in Barley ( Hordeum vulgare L.). Genome 2021, 64, 1067–1080. [Google Scholar] [CrossRef]
  18. Li, Y.-Y.; Meng, D.; Li, M.; Cheng, L. Genome-Wide Identification and Expression Analysis of the bZIP Gene Family in Apple (Malus domestica). Tree Genet. Genomes 2016, 12, 82. [Google Scholar] [CrossRef]
  19. Wei, K.; Chen, J.; Wang, Y.; Chen, Y.; Chen, S.; Lin, Y.; Pan, S.; Zhong, X.; Xie, D. Genome-Wide Analysis of bZIP-Encoding Genes in Maize. DNA Res. 2012, 19, 463–476. [Google Scholar] [CrossRef]
  20. Zhou, Y.; Xu, D.; Jia, L.; Huang, X.; Ma, G.; Wang, S.; Zhu, M.; Zhang, A.; Guan, M.; Lu, K.; et al. Genome-Wide Identification and Structural Analysis of bZIP Transcription Factor Genes in Brassica napus. Genes 2017, 8, 288. [Google Scholar] [CrossRef]
  21. Sun, S.; Ke, X.; Cui, L.; Yang, G.; Bi, Y.; Song, F.; Xu, X. Enzymatic Epoxidation of Sapindus Mukorossi Seed Oil by Perstearic Acid Optimized Using Response Surface Methodology. Ind. Crops Prod. 2011, 33, 676–682. [Google Scholar] [CrossRef]
  22. Melnyk, C.W.; Schuster, C.; Leyser, O.; Meyerowitz, E.M. A Developmental Framework for Graft Formation and Vascular Reconnection in Arabidopsis thaliana. Curr. Biol. 2015, 25, 1306–1318. [Google Scholar] [CrossRef]
  23. Padilla, Y.G.; Gisbert-Mullor, R.; López-Galarza, S.; Albacete, A.; Martínez-Melgarejo, P.A.; Calatayud, Á. Short-Term Water Stress Responses of Grafted Pepper Plants Are Associated with Changes in the Hormonal Balance. Front. Plant Sci. 2023, 14, 1170021. [Google Scholar] [CrossRef] [PubMed]
  24. Wang, L.; Liao, Y.; Liu, J.; Zhao, T.; Jia, L.; Chen, Z. Advances in Understanding the Graft Healing Mechanism: A Review of Factors and Regulatory Pathways. Hortic. Res. 2024, 11, uhae175. [Google Scholar] [CrossRef]
  25. Wu, Y.; Li, X.; Zhang, J.; Zhao, H.; Tan, S.; Xu, W.; Pan, J.; Yang, F.; Pi, E. ERF Subfamily Transcription Factors and Their Function in Plant Responses to Abiotic Stresses. Front. Plant Sci. 2022, 13, 1042084. [Google Scholar] [CrossRef] [PubMed]
  26. Vinson, C.R.; Sigler, P.B.; McKnight, S.L. Scissors-Grip Model for DNA Recognition by a Family of Leucine Zipper Proteins. Science 1989, 246, 911–916. [Google Scholar] [CrossRef]
  27. Zhao, K.; Chen, S.; Yao, W.; Cheng, Z.; Zhou, B.; Jiang, T. Genome-Wide Analysis and Expression Profile of the bZIP Gene Family in Poplar. BMC Plant Biol. 2021, 21, 122. [Google Scholar] [CrossRef]
  28. He, G.-H.; Xu, J.-Y.; Wang, Y.-X.; Liu, J.-M.; Li, P.-S.; Chen, M.; Ma, Y.-Z.; Xu, Z.-S. Drought-Responsive WRKY Transcription Factor Genes TaWRKY1 and TaWRKY33 from Wheat Confer Drought and/or Heat Resistance in Arabidopsis. BMC Plant Biol. 2016, 16, 116. [Google Scholar] [CrossRef]
  29. Yang, Y.; Zhang, J.; Han, X.; Zhang, Y.; Yang, Q.; Tong, Z. Identification and expression analysis of bZIP gene family under ABA treatment in Phoebe bournei. J. Zhejiang AF Univ. 2024, 41, 275–285. [Google Scholar]
  30. Hu, X.; Liang, J.; Wang, W.; Cai, C.; Ye, S.; Wang, N.; Han, F.; Wu, Y.; Zhu, Q. Comprehensive Genome-wide Analysis of the DREB Gene Family in Moso Bamboo (Phyllostachys edulis): Evidence for the Role of PeDREB28 in Plant Abiotic Stress Response. Plant J. 2023, 116, 1248–1270. [Google Scholar] [CrossRef]
  31. Zhao, J.; Zhai, Z.; Li, Y.; Geng, S.; Song, G.; Guan, J.; Jia, M.; Wang, F.; Sun, G.; Feng, N.; et al. Genome-Wide Identification and Expression Profiling of the TCP Family Genes in Spike and Grain Development of Wheat (Triticum aestivum L.). Front. Plant Sci. 2018, 9, 1282. [Google Scholar] [CrossRef]
  32. Wang, Y.; Tang, H.; DeBarry, J.D.; Tan, X.; Li, J.; Wang, X.; Lee, T.-H.; Jin, H.; Marler, B.; Guo, H.; et al. MCScanX: A Toolkit for Detection and Evolutionary Analysis of Gene Synteny and Collinearity. Nucleic Acids Res. 2012, 40, e49. [Google Scholar] [CrossRef] [PubMed]
  33. González-Gordo, S.; Muñoz-Vargas, M.A.; Palma, J.M.; Corpas, F.J. Class III Peroxidases (POD) in Pepper (Capsicum annuum L.): Genome-Wide Identification and Regulation during Nitric Oxide (NO)-Influenced Fruit Ripening. Antioxidants 2023, 12, 1013. [Google Scholar] [CrossRef]
  34. Yang, Z. Bayes Empirical Bayes Inference of Amino Acid Sites Under Positive Selection. Mol. Biol. Evol. 2005, 22, 1107–1118. [Google Scholar] [CrossRef] [PubMed]
  35. Ji, X.-R.; Yu, Y.-H.; Ni, P.-Y.; Zhang, G.-H.; Guo, D.-L. Genome-Wide Identification of Small Heat-Shock Protein (HSP20) Gene Family in Grape and Expression Profile during Berry Development. BMC Plant Biol. 2019, 19, 433. [Google Scholar] [CrossRef] [PubMed]
  36. Bishopp, A.; Help, H.; El-Showk, S.; Weijers, D.; Scheres, B.; Friml, J.; Benková, E.; Mähönen, A.P.; Helariutta, Y. A Mutually Inhibitory Interaction between Auxin and Cytokinin Specifies Vascular Pattern in Roots. Curr. Biol. 2011, 21, 917–926. [Google Scholar] [CrossRef]
  37. Smetana, O.; Mäkilä, R.; Lyu, M.; Amiryousefi, A.; Sánchez Rodríguez, F.; Wu, M.-F.; Solé-Gil, A.; Leal Gavarrón, M.; Siligato, R.; Miyashima, S.; et al. High Levels of Auxin Signalling Define the Stem-Cell Organizer of the Vascular Cambium. Nature 2019, 565, 485–489. [Google Scholar] [CrossRef]
  38. Thomas, H.; Van Den Broeck, L.; Spurney, R.; Sozzani, R.; Frank, M. Gene Regulatory Networks for Compatible versus Incompatible Grafts Identify a Role for SlWOX4 during Junction Formation. Plant Cell 2022, 34, 535–556. [Google Scholar] [CrossRef]
  39. Zhang, A.; Matsuoka, K.; Kareem, A.; Robert, M.; Roszak, P.; Blob, B.; Bisht, A.; De Veylder, L.; Voiniciuc, C.; Asahina, M.; et al. Cell-Wall Damage Activates DOF Transcription Factors to Promote Wound Healing and Tissue Regeneration in Arabidopsis thaliana. Curr. Biol. 2022, 32, 1883–1894.e7. [Google Scholar] [CrossRef]
  40. Zhu, J.-K. Abiotic Stress Signaling and Responses in Plants. Cell 2016, 167, 313–324. [Google Scholar] [CrossRef]
  41. Lund, H. Renewable Energy Strategies for Sustainable Development. Energy 2007, 32, 912–919. [Google Scholar] [CrossRef]
  42. Nikolaidis, P. A Comparative Overview of Hydrogen Production Processes. Renew. Sustain. Energy Rev. 2017, 67, 597–611. [Google Scholar] [CrossRef]
  43. Zhao, C.; Meng, G.; Wu, S.; Zhang, C.; Liu, Y. Analysis on Policy Evolution and Industry Development of Forestry Biomass Energy in China. For. Resour. Manag. 2022, 1–7. [Google Scholar] [CrossRef]
  44. Cannon, S.B.; Mitra, A.; Baumgarten, A.; Young, N.D.; May, G. The Roles of Segmental and Tandem Gene Duplication in the Evolution of Large Gene Families in Arabidopsis thaliana. BMC Plant Biol. 2004, 4, 10. [Google Scholar] [CrossRef]
  45. Ren, C.; Wang, H.; Zhou, Z.; Jia, J.; Zhang, Q.; Liang, C.; Li, W.; Zhang, Y.; Yu, G. Genome-Wide Identification of the B3 Gene Family in Soybean and the Response to Melatonin under Cold Stress. Front. Plant Sci. 2023, 13, 1091907. [Google Scholar] [CrossRef] [PubMed]
  46. Flagel, L.E.; Wendel, J.F. Gene Duplication and Evolutionary Novelty in Plants. New Phytol. 2009, 183, 557–564. [Google Scholar] [CrossRef]
  47. Banerjee, A.; Roychoudhury, A. Abscisic-Acid-Dependent Basic Leucine Zipper (bZIP) Transcription Factors in Plant Abiotic Stress. Protoplasma 2017, 254, 3–16. [Google Scholar] [CrossRef]
  48. Li, X.-Y.; Liu, X.; Yao, Y.; Li, Y.-H.; Liu, S.; He, C.-Y.; Li, J.-M.; Lin, Y.-Y.; Li, L. Overexpression of Arachis Hypogaea AREB1 Gene Enhances Drought Tolerance by Modulating ROS Scavenging and Maintaining Endogenous ABA Content. IJMS 2013, 14, 12827–12842. [Google Scholar] [CrossRef]
  49. Fujita, Y.; Fujita, M.; Satoh, R.; Maruyama, K.; Parvez, M.M.; Seki, M.; Hiratsu, K.; Ohme-Takagi, M.; Shinozaki, K.; Yamaguchi-Shinozaki, K. AREB1 Is a Transcription Activator of Novel ABRE-Dependent ABA Signaling That Enhances Drought Stress Tolerance in Arabidopsis. Plant Cell 2005, 17, 3470–3488. [Google Scholar] [CrossRef]
  50. Yang, X.; Li, J.; Guo, T.; Guo, B.; Chen, Z.; An, X. Comprehensive Analysis of the R2R3-MYB Transcription Factor Gene Family in Populus Trichocarpa. Ind. Crops Prod. 2021, 168, 113614. [Google Scholar] [CrossRef]
  51. Dröge-Laser, W.; Weiste, C. The C/S1 bZIP Network: A Regulatory Hub Orchestrating Plant Energy Homeostasis. Trends Plant Sci. 2018, 23, 422–433. [Google Scholar] [CrossRef] [PubMed]
  52. Miao, L.; Li, Q.; Sun, T.; Chai, S.; Wang, C.; Bai, L.; Sun, M.; Li, Y.; Qin, X.; Zhang, Z.; et al. Sugars Promote Graft Union Development in the Heterograft of Cucumber onto Pumpkin. Hortic. Res. 2021, 8, 146. [Google Scholar] [CrossRef] [PubMed]
  53. Wang, L.; Ruan, Y.-L. Regulation of Cell Division and Expansion by Sugar and Auxin Signaling. Front. Plant Sci. 2013, 4, 163. [Google Scholar] [CrossRef]
  54. Jeffares, D.C.; Penkett, C.J.; Bähler, J. Rapidly Regulated Genes Are Intron Poor. Trends Genet. 2008, 24, 375–378. [Google Scholar] [CrossRef]
  55. Heinz, S.; Benner, C.; Spann, N.; Bertolino, E.; Lin, Y.C.; Laslo, P.; Cheng, J.X.; Murre, C.; Singh, H.; Glass, C.K. Simple Combinations of Lineage-Determining Transcription Factors Prime cis-Regulatory Elements Required for Macrophage and B Cell Identities. Mol. Cell 2010, 38, 576–589. [Google Scholar] [CrossRef]
  56. Toledo-Ortiz, G.; Johansson, H.; Lee, K.P.; Bou-Torrent, J.; Stewart, K.; Steel, G.; Rodríguez-Concepción, M.; Halliday, K.J. The HY5-PIF Regulatory Module Coordinates Light and Temperature Control of Photosynthetic Gene Transcription. PLoS Genet. 2014, 10, e1004416. [Google Scholar] [CrossRef]
  57. Nie, X.; Ji, X.; Liu, Y.; Zheng, L.; Wang, Y. Elucidation of the Specific Formation of Homo- and Heterodimeric Forms of ThbZIP1 and Its Role in Stress. IJMS 2014, 15, 10005–10017. [Google Scholar] [CrossRef]
  58. Yoshida, T.; Fujita, Y.; Maruyama, K.; Mogami, J.; Todaka, D.; Shinozaki, K.; Yamaguchi-Shinozaki, K. Four A Rabidopsis AREB / ABF Transcription Factors Function Predominantly in Gene Expression Downstream of SnRK2 Kinases in Abscisic Acid Signalling in Response to Osmotic Stress. Plant Cell Environ. 2015, 38, 35–49. [Google Scholar] [CrossRef]
  59. Zhou, M.; Fan, J.; Gao, Y.; Zheng, C.; Xu, Y.; Jia, L.; An, X.; Chen, Z. Identification and Analysis of UGT Genes Associated with Triterpenoid Saponin in Soapberry (Sapindus Mukorossi Gaertn.). BMC Plant Biol. 2024, 24, 588. [Google Scholar] [CrossRef]
  60. Notaguchi, M.; Kurotani, K.; Sato, Y.; Tabata, R.; Kawakatsu, Y.; Okayasu, K.; Sawai, Y.; Okada, R.; Asahina, M.; Ichihashi, Y.; et al. Cell-Cell Adhesion in Plant Grafting Is Facilitated by b-1,4-Glucanases. Science 2020, 369, 698–702. [Google Scholar] [CrossRef]
  61. Chen, S.; Zhou, Y.; Chen, Y.; Gu, J. Fastp: An Ultra-Fast All-in-One FASTQ Preprocessor. Bioinformatics 2018, 34, i884–i890. [Google Scholar] [CrossRef]
  62. Kim, D.; Paggi, J.M.; Park, C.; Bennett, C.; Salzberg, S.L. Graph-Based Genome Alignment and Genotyping with HISAT2 and HISAT-Genotype. Nat. Biotechnol. 2019, 37, 907–915. [Google Scholar] [CrossRef] [PubMed]
  63. Love, M.I.; Huber, W.; Anders, S. Moderated Estimation of Fold Change and Dispersion for RNA-Seq Data with DESeq2. Genome Biol. 2014, 15, 550. [Google Scholar] [CrossRef]
  64. 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. [Google Scholar] [CrossRef]
  65. Mistry, J.; Chuguransky, S.; Williams, L.; Qureshi, M.; Salazar, G.A.; Sonnhammer, E.L.L.; Tosatto, S.C.E.; Paladin, L.; Raj, S.; Richardson, L.J.; et al. Pfam: The Protein Families Database in 2021. Nucleic Acids Res. 2021, 49, D412–D419. [Google Scholar] [CrossRef]
  66. Mistry, J.; Finn, R.D.; Eddy, S.R.; Bateman, A.; Punta, M. Challenges in Homology Search: HMMER3 and Convergent Evolution of Coiled-Coil Regions. Nucleic Acids Res. 2013, 41, e121. [Google Scholar] [CrossRef] [PubMed]
  67. Molineris, I.; Sales, G.; Bianchi, F.; Di Cunto, F.; Caselle, M. A New Approach for the Identification of Processed Pseudogenes. J. Comput. Biol. 2010, 17, 755–765. [Google Scholar] [CrossRef]
  68. Duvaud, S.; Gabella, C.; Lisacek, F.; Stockinger, H.; Ioannidis, V.; Durinx, C. Expasy, the Swiss Bioinformatics Resource Portal, as Designed by Its Users. Nucleic Acids Res. 2021, 49, W216–W227. [Google Scholar] [CrossRef] [PubMed]
  69. Horton, P.; Park, K.-J.; Obayashi, T.; Fujita, N.; Harada, H.; Adams-Collier, C.J.; Nakai, K. WoLF PSORT: Protein Localization Predictor. Nucleic Acids Res. 2007, 35, W585–W587. [Google Scholar] [CrossRef]
  70. Tamura, K.; Stecher, G.; Kumar, S. MEGA11: Molecular Evolutionary Genetics Analysis Version 11. Mol. Biol. Evol. 2021, 38, 3022–3027. [Google Scholar] [CrossRef]
  71. Letunic, I.; Bork, P. Interactive Tree of Life (iTOL) v6: Recent Updates to the Phylogenetic Tree Display and Annotation Tool. Nucleic Acids Res. 2024, 52, W78–W82. [Google Scholar] [CrossRef] [PubMed]
  72. Bailey, T.L.; Boden, M.; Buske, F.A.; Frith, M.; 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. [Google Scholar] [CrossRef] [PubMed]
  73. Lescot, M. PlantCARE, a Database of Plant cis-Acting Regulatory Elements and a Portal to Tools for in Silico Analysis of Promoter Sequences. Nucleic Acids Res. 2002, 30, 325–327. [Google Scholar] [CrossRef] [PubMed]
  74. Tian, F.; Yang, D.-C.; Meng, Y.-Q.; Jin, J.; Gao, G. PlantRegMap: Charting Functional Regulatory Maps in Plants. Nucleic Acids Res. 2019, 48, D1104–D1113. [Google Scholar] [CrossRef]
  75. Kohl, M.; Wiese, S.; Warscheid, B. Cytoscape: Software for Visualization and Analysis of Biological Networks. In Data Mining in Proteomics; Springer: New York, NY, USA, 2011; Volume 696, pp. 291–303. ISBN 978-1-60761-986-4. [Google Scholar]
  76. Singh, V.K.; Mangalam, A.K.; Dwivedi, S.; Naik, S. Primer Premier: Program for Design of Degenerate Primers from a Protein Sequence. BioTechniques 1998, 24, 318–319. [Google Scholar] [CrossRef]
  77. Xu, Y.; Zhao, G.; Ji, X.; Liu, J.; Zhao, T.; Gao, Y.; Gao, S.; Hao, Y.; Gao, Y.; Wang, L.; et al. Metabolome and Transcriptome Analysis Reveals the Transcriptional Regulatory Mechanism of Triterpenoid Saponin Biosynthesis in Soapberry (Sapindus Mukorossi Gaertn.). J. Agric. Food Chem. 2022, 70, 7095–7109. [Google Scholar] [CrossRef]
  78. Livak, K.J.; Schmittgen, T.D. Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef]
Figure 1. (a) Analysis of the DEGs in the S2 vs. S1 comparison group GO functional annotation and (b) KEGG pathway enrichment. Red box shows labeled ABI5 transcription factor.
Figure 1. (a) Analysis of the DEGs in the S2 vs. S1 comparison group GO functional annotation and (b) KEGG pathway enrichment. Red box shows labeled ABI5 transcription factor.
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Figure 2. An illustration of the multiple-sequence alignment of the Soapberry’s bZIP family domains. The overall height of the letter stack represents the sequence conservation at each point. The height of each letter in the letter stack shows the relative frequency of the corresponding amino acid at a given position. Black asterisks indicate asparagine (N) and basic (R/K) residues with exact spacing.
Figure 2. An illustration of the multiple-sequence alignment of the Soapberry’s bZIP family domains. The overall height of the letter stack represents the sequence conservation at each point. The height of each letter in the letter stack shows the relative frequency of the corresponding amino acid at a given position. Black asterisks indicate asparagine (N) and basic (R/K) residues with exact spacing.
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Figure 3. Chromosomal localization and collinearity analysis of SmbZIPs. Inside each chromosome are the corresponding numbers. The inner circle’s lines and heatmap show the chromosomes’ gene density. The gray curves indicate the co-localization of genetic loci in the Soapberry genome. Red highlights the collinear gene pairings and indicates collinear interactions between SmbZIP genes. Red text indicates co-linear SmbZIP genes. Blue lines represent tandem duplications for SmbZIP genes.
Figure 3. Chromosomal localization and collinearity analysis of SmbZIPs. Inside each chromosome are the corresponding numbers. The inner circle’s lines and heatmap show the chromosomes’ gene density. The gray curves indicate the co-localization of genetic loci in the Soapberry genome. Red highlights the collinear gene pairings and indicates collinear interactions between SmbZIP genes. Red text indicates co-linear SmbZIP genes. Blue lines represent tandem duplications for SmbZIP genes.
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Figure 4. SmbZIP phylogenetic connections. (a) The maximum-likelihood (ML) option with 1000 replicates was used to generate the phylogenetic tree of the bZIP gene family and the phylogenetic tree of the bZIP proteins from Soapberry (Sapindus mukorossi), Arabidopsis (Arabidopsis thaliana), and apple (Malus domestica). The protein sequences of the apple, Arabidopsis, and Soapberry are shown by the medium-purple squares, dark-green circles, and red stars, respectively. (b) bZIP gene homology analysis between 4 representative plants and Soapberry. The steel-blue lines draw attention to the collinear bZIP gene pairs, while the gray lines in the backdrop show the collinear blocks in the genomes of Soapberries and other plants. ‘A. thaliana’, ‘O. sativa’, ‘V. vinifera’, and ‘M. domestica’ are prefixes that indicate Arabidopsis, rice, grape, and apple, respectively.
Figure 4. SmbZIP phylogenetic connections. (a) The maximum-likelihood (ML) option with 1000 replicates was used to generate the phylogenetic tree of the bZIP gene family and the phylogenetic tree of the bZIP proteins from Soapberry (Sapindus mukorossi), Arabidopsis (Arabidopsis thaliana), and apple (Malus domestica). The protein sequences of the apple, Arabidopsis, and Soapberry are shown by the medium-purple squares, dark-green circles, and red stars, respectively. (b) bZIP gene homology analysis between 4 representative plants and Soapberry. The steel-blue lines draw attention to the collinear bZIP gene pairs, while the gray lines in the backdrop show the collinear blocks in the genomes of Soapberries and other plants. ‘A. thaliana’, ‘O. sativa’, ‘V. vinifera’, and ‘M. domestica’ are prefixes that indicate Arabidopsis, rice, grape, and apple, respectively.
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Figure 5. Conserved motifs and gene structure of the SmbZIP gene family. Rectangles of different hues are used to pinpoint the conserved motifs. The gene structure consists of untranslated regions (UTR, steel-blue rectangle), exons (CDS, gray rectangle), and introns (gray line). The lengths of various genes and proteins are compared using the scale at the bottom.
Figure 5. Conserved motifs and gene structure of the SmbZIP gene family. Rectangles of different hues are used to pinpoint the conserved motifs. The gene structure consists of untranslated regions (UTR, steel-blue rectangle), exons (CDS, gray rectangle), and introns (gray line). The lengths of various genes and proteins are compared using the scale at the bottom.
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Figure 6. SmbZIPs’ anticipated TFs regulatory network. (a) SmbZIPs are represented by the light-blue circular nodes, while TFs are represented by the orange diamond nodes. The top eight highly enriched and targeted SmbZIPs are displayed in (b). The enrichment increases with color darkness.
Figure 6. SmbZIPs’ anticipated TFs regulatory network. (a) SmbZIPs are represented by the light-blue circular nodes, while TFs are represented by the orange diamond nodes. The top eight highly enriched and targeted SmbZIPs are displayed in (b). The enrichment increases with color darkness.
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Figure 7. CREs in SmbZIPs. (a) The CRE heatmap for the 2000 bp area upstream of the SmbZIPs transcription start point. (b) The distribution of these elements within the promoter sequences is displayed. Different colors represent different types of CREs, as in (c). (c) A Venn diagram showing different CREs, with each number denoting how many SmbZIPs have that element.
Figure 7. CREs in SmbZIPs. (a) The CRE heatmap for the 2000 bp area upstream of the SmbZIPs transcription start point. (b) The distribution of these elements within the promoter sequences is displayed. Different colors represent different types of CREs, as in (c). (c) A Venn diagram showing different CREs, with each number denoting how many SmbZIPs have that element.
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Figure 8. Expression levels of SmbZIP genes in Soapberry at five separate graft-healing stages. Here, S stands for the scion, and R for the rootstock. Along with the clustering-related expression levels, the heatmap’s red, white, and blue hues stand for high, medium, and low expression levels, respectively.
Figure 8. Expression levels of SmbZIP genes in Soapberry at five separate graft-healing stages. Here, S stands for the scion, and R for the rootstock. Along with the clustering-related expression levels, the heatmap’s red, white, and blue hues stand for high, medium, and low expression levels, respectively.
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Figure 9. Validation of the differentially expressed results obtained by RNA-seq. RT-qPCR and RNA-seq analyses were used to ascertain the relative expression levels of 6 genes throughout the five stages of Soapberry graft healing. Different letters indicate significant differences, and the same letters represent no significant differences. The bars show the standard deviation.
Figure 9. Validation of the differentially expressed results obtained by RNA-seq. RT-qPCR and RNA-seq analyses were used to ascertain the relative expression levels of 6 genes throughout the five stages of Soapberry graft healing. Different letters indicate significant differences, and the same letters represent no significant differences. The bars show the standard deviation.
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Chen, N.; Wang, L.; Zhong, J.; Jia, L.; Chen, Z. Genome-Wide Analysis of bZIP Transcription Factor Family and Its Expression in Graft Healing of Soapberry (Sapindus mukorossi Gaertn.). Int. J. Mol. Sci. 2025, 26, 4862. https://doi.org/10.3390/ijms26104862

AMA Style

Chen N, Wang L, Zhong J, Jia L, Chen Z. Genome-Wide Analysis of bZIP Transcription Factor Family and Its Expression in Graft Healing of Soapberry (Sapindus mukorossi Gaertn.). International Journal of Molecular Sciences. 2025; 26(10):4862. https://doi.org/10.3390/ijms26104862

Chicago/Turabian Style

Chen, Na, Lixian Wang, Jing Zhong, Liming Jia, and Zhong Chen. 2025. "Genome-Wide Analysis of bZIP Transcription Factor Family and Its Expression in Graft Healing of Soapberry (Sapindus mukorossi Gaertn.)" International Journal of Molecular Sciences 26, no. 10: 4862. https://doi.org/10.3390/ijms26104862

APA Style

Chen, N., Wang, L., Zhong, J., Jia, L., & Chen, Z. (2025). Genome-Wide Analysis of bZIP Transcription Factor Family and Its Expression in Graft Healing of Soapberry (Sapindus mukorossi Gaertn.). International Journal of Molecular Sciences, 26(10), 4862. https://doi.org/10.3390/ijms26104862

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