Next Article in Journal
Integrating Multi-Source Remote Sensing Data for Forest Fire Risk Assessment
Previous Article in Journal
Physiological Indices of Five Hybrid Larch Seedlings Under Low-Temperature Stress
Previous Article in Special Issue
Reinforcing Nitrogen Nutrition Through Partial Substitution with Organic Nitrogen Enhances the Properties of Natural Rubber
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Forests
Volume 15
Issue 11
10.3390/f15112027
forests-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Genome-Wide Identification and Characterization of bHLH Gene Family in Hevea brasiliensis

by
Zheng Wang
1,
Yuan Yuan
1,2,3,
Fazal Rehman
1,
Xin Wang
1,
Tingkai Wu
1,2,3,
Zhi Deng
1,2,3,* and
Han Cheng
1,2,3,*
1
National Key Laboratory of Tropical Crop Breeding, Sanya Institute, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Sanya 572024, China
2
Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture and Rural Affairs, Haikou 571101, China
3
Hainan Key Laboratory for Cultivation & Physiology of Tropical Crops/State Key Laboratory Incubation Base for Cultivation and Physiology of Tropical Crops, Haikou 571101, China
*
Authors to whom correspondence should be addressed.
Forests 2024, 15(11), 2027; https://doi.org/10.3390/f15112027
Submission received: 27 September 2024 / Revised: 14 October 2024 / Accepted: 5 November 2024 / Published: 18 November 2024
(This article belongs to the Special Issue Stress Resistance of Rubber Trees: From Genetics to Ecosystem, 2nd Edition)
Browse Figures
Versions Notes

Abstract

:
The basic helix-loop-helix (bHLH) transcription factors play crucial roles in plant growth, development, and stress responses. However, their identification and insights into the understanding of their role in rubber trees remain largely uncovered. In this study, the bHLH gene family was explored and characterized in rubber trees using systematic bioinformatics approaches. In total, 180 bHLH genes were identified in the rubber tree genome, distributed unevenly across 18 chromosomes, and phylogenetic analysis classified these genes into 23 distinct subfamilies. Promoter regions revealed a high density of cis-elements responsive to light and hormones. Enrichment analysis indicated involvement in numerous biological processes, including growth, development, hormone responses, abiotic stress resistance, and secondary metabolite biosynthesis. Protein interaction network analysis identified extensive interactions between HbbHLH genes and other functional genes, forming key clusters related to iron homeostasis, plant growth, and stomatal development. Expression profiling of HbbHLH genes have demonstrated varied responses to endogenous and environmental changes. RT-qPCR of eleven HbbHLH genes in different tissues and under ethylene, jasmonic acid, and cold treatments revealed tissue-specific expression patterns and significant responses to these stimuli, highlighting the roles of these genes in hormone and cold stress responses. These findings establish a framework for exploring the molecular functions of bHLH transcription factors in rubber trees.

1. Introduction

The rubber tree (Hevea brasiliensis Müll. Arg) is the primary source of natural rubber, which is an indispensable raw material for industrial production. More than 90% of natural rubber in the world is produced from rubber trees [1]. The regulation of rubber biosynthesis and related physiological processes is governed by complex genetic networks in which transcription factors play a crucial role. Rubber trees grow in tropical regions and are often subjected to various stresses, such as cold temperatures, pests, and diseases. Improving stress tolerance and understanding the regulatory networks involved in rubber biosynthesis are areas of focus for researchers. Among these, the basic helix-loop-helix (bHLH) transcription factor family has recently gained attention for its involvement in various biological processes in plants, including growth, development, and responses to environmental stress.
The basic helix-loop-helix (bHLH) family is the second-largest family of eukaryotic transcription factors, following the MYB family, and is known for its basic helix-loop-helix (HLH) domain, which consists of approximately 60 amino acids, including a basic region and an HLH region. The basic region, located at the N-terminus, is rich in basic residues and serves as a DNA binding site. The HLH region, at the C-terminus, acts as a dimerization domain, enabling the formation of protein dimers through specific interactions, and is primarily composed of hydrophobic amino acids forming two amphipathic α-helices separated by a loop segment with a variable sequence and length [2].
bHLH transcription factors are found in both animals and plants. In animals, they are typically classified into six groups (A to F) based on phylogenetic relationships and DNA-binding patterns [3,4]. However, there are differences in the classification of plants and animals because of the relative independence of bHLH transcription factor genealogy [5]. To date, no definitive classification standard for bHLH transcription factors has been established in plants. According to bHLH protein sequence homology, conservation of specific amino acids at key positions, and the presence of other conserved functional domains outside the bHLH domain, researchers have classified bHLH transcription factors of plants into 15–35 subfamilies (Figure 1). For instance, in Arabidopsis (Arabidopsis thaliana (L.) Heynh.), 162 bHLH proteins have been characterized and grouped into 12 major groups and 25 subgroups [6,7]. Lorenzo Carretero-Pauletd, by including lower plants such as algae and mosses in the analysis, has classified the bHLH transcription factors into 32 subgroups from a broader evolutionary perspective [8]. Rice (Oryza sativa L.) has 167 bHLH family members, which are classified into 22 subfamilies [9]. Tomato (Solanum lycopersicum L.) possesses 152 bHLH genes, organized into 26 subfamilies, whereas [10] cucumber (Cucumis sativus L.) has 142 bHLH genes distributed among 32 subfamilies [11]. In potato (Solanum tuberosum L.), 124 bHLH members have been recognized and divided into 15 subfamilies [12].
The ubiquitous presence of bHLH transcription factors further underscores their profound genetic significance and functional specialization throughout the plant kingdom. Recent studies have shown that the influence of the bHLH superfamily extends across a broad range of plant growth and developmental processes. For instance, bHLH transcription factors are instrumental in regulating a multitude of biological processes, such as seed germination [13,14], flowering time control [15,16,17], responses to iron deficiency [18,19], mechanisms for cadmium tolerance [20], and enhancement of cold tolerance [21]. Furthermore, they play a pivotal role in mediating responses to light signals [22,23,24] and phytohormones, notably, jasmonic acid (JA) [25,26] and abscisic acid (ABA) [27,28,29], which are vital for environmental stress adaptation and physiological regulation. Collectively, these roles emphasize their critical importance in the intricate networks governing plant stress responses and development.
Prior to this study, researchers analyzed the functions of various bHLH factors in H. brasiliensis. For instance, Yamaguchi et al. subjected four HbbHLH genes to RNA-seq and in vitro binding assays, discovering that HbMYC2 might function as a receptor in JA signaling, contributing to latex cell differentiation. In contrast, the other two HbbHLH genes likely promote rubber biosynthesis [30]. Chen et al. found that one bHLH transcription factor, ICE-like transcription factor HbICE2, is involved in the cold stress tolerance mechanism regulated by jasmonic acid in rubber trees [31]. Guo et al. found that HbMYC2b significantly increased the activity of the HbSRPP promoter, suggesting that HbMYC2b may be a positive regulator of HbSRPP in rubber trees [32]. These findings indicate that certain members of the bHLH family in rubber trees are involved in latex biosynthesis and the environmental stress response. However, our understanding of the overall function and characteristics of the bHLH family genes in rubber trees remains limited. In this study, we aimed to identify and characterize the complete bHLH family members of the rubber tree and investigate their transcriptional changes during different treatments, thereby providing clues for further functional characterization of genes.

2. Materials and Methods

2.1. Plant Materials and Treatments

The materials used in this study were planted at the Experimental Station of the Chinese Academy of Tropical Agricultural Sciences, Danzhou, Hainan, China (19°28′ N, 109°29′ E). For ethylene and methyl jasmonate treatments, 7-year-old virgin trees were selected and latex was harvested using a half-spiral tapping method. Latex samples were first collected without any treatment as 0 h samples. In the control group, 0.03 M methylcellulose was applied 2 cm above and below the tapping line, while in the treatment groups, 1% ethylene (prepared with methylcellulose) and 1% methyl jasmonate were applied similarly. Latex was collected at 4 h, 8 h, 12 h, 24 h, and 48 h after treatment, with each tree tapped only once. A total of 216 trees were used, with 12 trees per treatment at each time point. Samples were frozen in liquid nitrogen and three trees were combined into one sample, forming four biological replicates per treatment and time point.
Six-year-old virgin trees were selected for the cold treatment experiment. Branches and leaf samples were collected without prior treatment. Afterwards, the branches were exposed to cold treatment at 4 °C, and leaves were collected at 2 h, 8 h, and 24 h post-treatment. The samples were frozen in liquid nitrogen, and three biological replicates were prepared. For tissue-specific expression analysis, 10-year-old virgin trees were used and five tissue samples (bark, leaves, male flowers, female flowers, and latex) were collected, with three biological replicates for each sample type.

2.2. Identification of Hevea bHLH Genes

The genome sequences of H. brasiliensis originated from a preliminary assembly (unpublished) performed by our research group, and the Hidden Markov Model (HMM) profile of bHLH (PF00011) was downloaded from the Pfam protein database (http://pfam-legacy.xfam.org/, accessed on 25 March 2024) [33]. Putative HbbHLH sequences were identified using the profile HMM, generated, and calibrated using the HMMER v. 3.4 [34] software with default parameters. Then, the candidates were checked for the conserved bHLH domain using the Batch CD-search tool within the Conserved Domain Database (CDD) (https://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml, accessed on 25 March 2024) [35], Pfam (http://pfam-legacy.xfam.org/, accessed on 25 March 2024) [33], and SMART (https://smart.embl.de/, accessed on 25 March 2024) [36]. The remaining sequences were preserved as the final collection of the putative HbbHLH sequences. The amino acid count, molecular weight, isoelectric point, instability index, aliphatic index, and grand average of hydropathicity (GRAVY) of the proteins encoded by the HbbHLH genes were determined using TBtools v. 2.119 [37]. Subcellular localization predictions were made using the WoLF PSORT [38] web server (https://wolfpsort.hgc.jp/, accessed on 25 March 2024). All domain sequences of HbbHLH genes were aligned with ClustalW v. 2.1 [39], and the alignment results were submitted to the online website WEBlogo (https://weblogo.berkeley.edu/logo.cgi, accessed on 25 March 2024) [40] to create a sequence logo.

2.3. Sequence Conservation and Phylogenetic Analysis

The bHLH amino acid sequences of A. thaliana were obtained from The Arabidopsis Information Resource (TAIR, https://www.Arabidopsis.org/, accessed on 26 March 2024). The AtbHLH and HbbHLH sequences were aligned using ClustalW v. 2.1 [39] with default parameters, and the resulting alignments were subsequently used to construct an unrooted neighbor-joining phylogenetic tree using MEGA7 [41], employing the following parameters: 1000 bootstrap replicates, Poisson model, and pairwise deletion of gaps. Thereafter, the phylogenetic tree was visually rendered using evolview (https://www.evolgenius.info/evolview/#/treeview, accessed on 27 March 2024) [42].

2.4. Gene Structures, Conserved Motifs, Promoters, and Chromosomal Location Analysis

The structures of the HbbHLH genes were analyzed using TBtools v. 2.119 [37]. Conserved motif analysis was conducted with the MEME Suite [43] online program (https://meme-suite.org/meme/tools/meme, accessed on 30 March 2024), setting the maximum number of motifs to 20. Additionally, the 1500 bp upstream DNA sequences of the HbbHLH genes were submitted to the PlantCARE database (https://bioinformatics.psb.ugent.be/webtools/plantcare/html/, accessed on 27 March 2024) [44] for the prediction of cis-acting regulatory elements, with the results visualized using TBtools v. 2.119 [37]. HbbHLH genes were mapped to chromosomes using the MapChart v. 2.32 software [45].

2.5. Gene Duplication Patterns Analysis

The entire protein sequence of the H. brasiliensis genome served as queries in a self-alignment process executed with Blastall v. 2.16.0, employing an E-value threshold of 1 × 10−10. The results were analyzed using MCScanX [46] to produce segmental duplications and tandem duplications across the whole genome. Segmental duplications belonging to the bHLH family were extracted to draw a collinearity map using CIRCOS v. 0.69.6 [47].

2.6. Gene Ontology Enrichment Analysis

To investigate the functional enrichment of the 180 HbbHLH genes, Gene Ontology (GO) analysis was performed based on gene function annotations obtained from previous studies within the research group. The R package “clusterProfiler v. 4.14.0” [48] was employed for this analysis, with significance thresholds set at Q < 0.05 and P < 0.05.

2.7. Interaction Network of Hevea Homologues in Arabidopsis

Homologous genes of H. brasiliensis were identified in A. thaliana using OrthoVenn3 (https://orthovenn3.bioinfotoolkits.net/, accessed on 30 August 2024) [49]. The HbbHLH homologous gene sets were further analyzed in STRING (https://cn.string-db.org/, accessed on 30 August 2024) with a minimum required interaction score of 0.4, limiting the results to no more than 50 interactors. Genes with homologues in Hevea were filtered from the interaction results and visualized using the Cytoscape v. 3.10.2 [50] software.

2.8. Expression Patterns Analysis

The expression levels of the HbbHLH genes were quantified using the average of normalized expression data (measured in FPKM—Fragments Per Kilobase of transcript per Million mapped reads) obtained from HeveaDB (http://hevea.catas.cn, accessed on 22 May 2024) [51]. An expression heatmap was generated using the R package “pheatmap v. 1.0.12”. Expression pattern clustering was performed using Mfuzz [52].
Total RNA was extracted using an RNA Prep Pure Plant Plus Kit (TIANGEN, Beijing, China). The PrimeScript™ RT Reagent Kit with gDNA Eraser (Takara, Dalian, China) was used for first-strand cDNA synthesis. RT-qPCR was conducted using the 2 × Q3 SYBR qPCR Master Mix (TOLOBIO, Shanghai, China) with primers designed using Primer3 (Table S5), and the rubber tree YLS8 gene (Gene ID: 110644482) was used as an internal reference gene. The relative expression levels were calculated using the 2−ΔΔCT method. Each analysis was repeated in at least three independent experiments. One-way ANOVA and Tukey’s multiple comparisons tests were performed using GraphPad Prism v. 9.0.0 software.

3. Results

3.1. Genome-Wide Identification of Hevea bHLH

Using Hidden Markov Model search results and screening through the SMART and CDD databases, 180 rubber tree bHLH family genes were identified and named HbbHLH1-HbbHLH180 based on their chromosomal locations. These genes display distinct features (Table S1); all HbbHLH genes have negative grand average of hydropathicity values, indicating that they are hydrophilic. Subcellular localization analysis revealed that the vast majority (91%) of HbbHLH genes were predicted to localize to the nucleus, highlighting their potential roles in transcriptional regulation, while the remaining genes were localized to other organelles such as mitochondria, chloroplasts, and the cytoplasm.

3.2. Conserved Domain and Phylogenetic Analysis of Hevea bHLH

The analysis of conserved motifs within the HbbHLH family revealed a notable level of conservation, with 23 amino acid residues exhibiting over 50% conservation and 10 residues showing more than 75% conservation across all proteins (Figure 2). The majority of the conserved residues were consistent with previous research, particularly in regions associated with DNA-binding and dimerization. For instance, in the basic region of animal bHLH proteins, all bHLH proteins binding to the E-box (5′-CANNTG-3′) have glutamic acid at position 9 [53]. In rubber trees, the critical E9 residue is highly conserved and is found in 86% of the analyzed proteins; 62% of rubber tree bHLH proteins possess the characteristic configuration H5-E9-R13 of Group B animal bHLH proteins [6], which has been shown to bind to the variant of the E-box (5′-CACGTG-3′) [54]. Highly conserved hydrophobic residues in helices 1 and 2 are essential for dimerization [55]. In rubber trees, leucine (L) residues are present at position 23 in each bHLH protein, suggesting that this residue may play a significant role in dimerization.
To classify the bHLH gene family of the rubber tree and identify its evolutionary relationship with the Arabidopsis bHLH family, a phylogenetic tree was constructed using 180 rubber tree bHLH protein sequences and 121 Arabidopsis bHLH protein sequences (Figure 3). According to the classification criteria of the AtbHLH family by Heim et al. [6], the 180 rubber tree bHLH family members were divided into 23 subfamilies. Subfamily XII was the largest, containing 26 HbbHLH proteins, while the smallest subfamilies, VIIIa and IIIe, contained only two HbbHLH proteins. No rubber tree bHLH proteins were classified into the families IVd and VI.

3.3. Gene Structure, Regulatory Elements, Chromosomal Location, and Synteny Analysis of Hevea bHLH

The gene structure of the Hevea bHLH family exhibited substantial variation, with intron numbers ranging from 0 to 12 across the 180 identified genes (Figure S1). Notably, 20 genes are intronless, primarily distributed across subfamilies IIId, IIIe, and VIIIb, suggesting potential functional specialization or evolutionary pressure favoring rapid transcriptional responses [56]. Members of the same subfamily have similar structures. For example, all members of the IIId family, except HbbHLH109, were intronless (Figure 4a). Families Ia, Ib, IIIa, IIIb, IVc, IVb, Vb, VIIIa, and X contain 1–4 introns, while subfamilies such as IIIf, Va, VIIa, VIIb, and XII exhibit more complex structures with 5 to 10 introns (Figure S1). Conserved motif analysis using the MEME tool revealed that all HbbHLH genes share a core motif (motif 3), most of genes contain 3–5 conserved motifs, while members of families IIId, IIIe, and IIIf contain more conserved motifs, ranging from 7 to 11. The most conserved motifs are distributed at the C-terminus, such as those in families I, IIIb, IVa, VIIb, VIIa, XII, XI, IX, VIIIa, VIIIb, and VIIIc. Families IIId, IIIe, and IIIf had a segment of conserved motifs at the N-terminus (Figure S1).
An analysis of cis-regulatory elements within the 1500 bp promoter regions of the HbbHLH genes uncovered a rich diversity of regulatory motifs (Figure S2), reflecting the complex regulatory networks governing their expression. The upstream cis-regulatory elements of HbbHLH genes were divided into three main categories. The first category is related to abiotic stress, such as light-responsive elements (Box 4, G-box, GT1-motif), antioxidant response elements (ARE), low-temperature response elements (LTR), drought-induced elements (MBS), and wound response elements (WUN-motif, W box). The second category is related to phytohormone responsiveness, such as ethylene-responsive elements (ERE), abscisic acid-responsive elements (ABRE), methyl jasmonate-responsive elements (TGACG-motif), salicylic acid-responsive elements (TCA-element, SARE), gibberellin-responsive elements (P-box, GARE-motif), and auxin-responsive elements (TGA-element, AuxRR-core). The third category is related to plant growth and development, such as circadian rhythm regulatory elements (circadian), cell cycle regulatory elements (re2f-1), seed-specific regulatory elements (RY-element), endosperm-specific regulatory elements (AACA_motif), and meristem expression-related elements (CAT-box).
Among the 4187 cis-regulatory elements found, the first category had the highest frequency, with 2858 elements, accounting for 68% of the total. Light-responsive elements were particularly abundant, accounting for 46% of the total elements. The second category contained 1225 elements, mainly ethylene, abscisic acid, and methyl jasmonate-responsive elements. The third category of regulatory elements was less frequent with only 104 elements (Figure 4b). This suggests that HbbHLH genes may be primarily involved in the responses to various plant hormones and abiotic stresses.
Chromosomal localization results showed that the 180 HbbHLH genes were unevenly distributed across 18 chromosomes of the rubber tree (Figure 4c). Most of the HbbHLH genes were concentrated in the terminal regions of the chromosomes; chromosomes 10 and 15 had the fewest, with only 4 genes, while chromosome 5 had the most, containing 23 HbbHLH genes. Among the 180 HbbHLH genes, 12 tandemly duplicated genes formed five gene clusters, which are marked in green in Figure 4c.
Synteny analysis indicated that segmental duplications were the predominant factor driving the expansion of the bHLH gene family in the rubber tree. Among the 180 identified HbbHLH genes, 136 (approximately 75%) were segmentally duplicated, underscoring the critical role of genome-wide duplication events in shaping the diversity of this transcription factor family (Figure 5). These results suggest that segmental duplications significantly contributed to the retention and diversification of HbbHLH genes, allowing for functional divergence and adaptation in response to the unique selective pressures experienced by rubber trees.

3.4. Gene Ontology and Interaction Network Analysis of Hevea bHLH

Based on previous analyses of the HbbHLH gene structure and motif diversity, as well as literature mining, it is speculated that HbbHLH genes are involved in a range of biological processes. To further investigate the function of these genes, Gene Ontology (GO) enrichment analysis was performed. The results showed that 94 HbbHLH genes were enriched among 134 GO terms. Specifically, all nine molecular function (MF) terms were associated with DNA binding and RNA polymerase II specificity, whereas the two cellular component (CC) terms were related to transcription regulation complexes. More importantly, enrichment in 123 biological processes (BP) highlights the broad functional repertoire of HbbHLH genes, with notable processes including positive regulation of RNA polymerase II-mediated transcription, plant development and differentiation, light response, and morphogenesis (Figure 6). These findings suggest that HbbHLH genes are integral to the coordination of growth and development of rubber trees.
Furthermore, various biological processes, including reproductive development, seed and seedling development, hormone biosynthesis (for example brassinosteroids and gibberellins), metabolism, secondary metabolism (mainly flavonoids), pigment metabolism, iron ion homeostasis, metabolism, and photosynthesis regulation were enriched (Table S2). These findings indicate that bHLH transcription factors are broadly involved in critical biological processes in rubber tree reproduction, growth, development, and stress responses, highlighting their significant roles.
In A. thaliana, the functions and interactions of various bHLH proteins have been well characterized by mapping Hevea bHLH proteins onto their Arabidopsis homologues, and an interaction network for 65 HbbHLH genes has been inferred. STRING analysis revealed extensive interactions among these HbbHLH proteins (Table S3), consistent with the characteristic ability of the bHLH family to form homodimers or heterodimers [57]. For example, homologues of SCRM (HbbHLH004), MUTE (HbbHLH126), FAMA (HbbHLH062), and SPCH (HbbHLH049) interact to regulate stomatal development [58]. Additionally, IDT (HbbHLH063), PYE (HbbHLH038), and ILR3 (HbbHLH061) interact with each other and contribute to iron homeostasis [59]. These findings provide valuable insights into the potential functions of the bHLH genes in rubber trees.
The predicted interactions between HbbHLH proteins and other genes revealed three major functional clusters: one involving iron metabolism, with interactions including BTS, FRO2, ZIF1, and NAS4; another related to plant growth and development, particularly brassinosteroid signaling (for example, IBH1, BZR1), and light responses (for example, PAR1 and CRY2); and a third cluster associated with epidermal and stomatal development, involving genes such as EPFL4 and EPF2 (Figure 7). These interaction patterns suggest that the bHLH gene family plays a significant regulatory role in metal homeostasis, hormone signalling pathways, light-responsive processes, and epidermal and stomatal development in rubber trees.

3.5. Expression Patterns of Hevea bHLH in Diverse Environmental and Physiological Events

To investigate the spatiotemporal expression patterns of HbbHLH genes, expression levels (FPKM) from different tissues and treatments of 16 rubber tree varieties were downloaded from the HeveaDB database [51] (Table S4). A total of 39 HbbHLH genes with expression levels below 2 in all samples, such as HbbHLH009, HbbHLH010, and HbbHLH019, were filtered out, and a heatmap was created (Figure 8a).
Most HbbHLH genes exhibit significant tissue-specific expression in various tissues. For example, HbbHLH015 and HbbHLH075 showed significantly higher expression in latex than in other tissues; HbbHLH060, HbbHLH170, and HbbHLH108 were highly expressed in male flowers, and HbbHLH167, HbbHLH123, and HbbHLH096 were highly expressed in the bark. Genes within the same subfamily displayed similar expression patterns. Except for HbbHLH177 and HbbHLH178, genes in the IIId and IIIe families were significantly expressed in latex. Most genes highly expressed in male flowers belonged to the XII family, whereas those highly expressed in the bark were mainly from the Ib family.
In rubber trees, jasmonic acid (JA) and ethylene are crucial for promoting laticifer differentiation [60] and latex production [61]. Previous studies have indicated that certain bHLH transcription factors respond to JA signals and integrate into an ethylene-regulated signalling network. In this study, we examined the expression patterns of HbbHLH genes under JA and ethylene stimulation using transcriptome data. The analysis revealed that most HbbHLH genes that were highly expressed in latex were sensitive to JA and ethylene. For example, HbbHLH015, HbbHLH074, and HbbHLH164 were significantly upregulated by ethylene and JA treatment. Additionally, as treatment duration increased, these HbbHLH genes exhibited specific expression trends, revealing the dynamic characteristics of gene expression under hormone regulation.
To further understand the dynamic changes in gene expression during ethylene treatment, Mfuzz was used to group all differentially expressed genes at different time points into eight clusters (Figure 8b). Clusters 1 and 2 showed continuous upregulation and downregulation, respectively, after 12 h of ethylene treatment. Changes in Clusters 3 and 4 occurred at approximately 3 h, with significant downregulation and upregulation observed afterwards, respectively. Clusters 5 and 6 exhibited significant upregulation, followed by downregulation at approximately 12 h and 3 h, respectively. Cluster 7 displayed a general downregulation trend before 12 h and significant upregulation afterwards. Cluster 8 was significantly upregulated before 3 h of treatment, followed by fluctuations between downregulation and upregulation.
Given the significance of cold resistance mechanisms in rubber tree research and the role of bHLH transcription factors in response to cold, a similar time series analysis was conducted on HbbHLH genes under cold treatment. Mfuzz divided them into six clusters (Figure 8c), revealing that the genes in clusters 1 and 4 were significantly downregulated and upregulated after 8 h, respectively. Genes in cluster 2 were consistently downregulated throughout the cold stress period; cluster 3 showed significant downregulation between 0 and 2 h; cluster 6 showed significant upregulation between 0 and 2 h, followed by significant downregulation; and cluster 5 exhibited an overall upregulation trend.
Additionally, HbbHLH genes exhibited significant expression dynamics at various stages of leaf growth and development in rubber trees. Specifically, HbbHLH077 exhibited the highest expression during Stage B, whereas HbbHLH171 peaked during Stage BC. The expression levels of HbbHLH083, HbbHLH076, HbbHLH006, etc., gradually increased with leaf maturation. Conversely, HbbHLH045 and HbbHLH133 showed decreasing trends throughout the developmental stages. Notably, most HbbHLH genes were abundantly expressed during Stages B, BC, and C but significantly decreased at Stage D. Furthermore, members of the HbbHLH family also responded to the disease. During tapping panel dryness (TPD), a common stress condition encountered by rubber trees due to frequent tapping for latex collection, genes such as HbbHLH156, HbbHLH176, and HbbHLH086 were upregulated, whereas HbbHLH096 and HbbHLH167 were downregulated. When confronted with Brown Blast infection, the expression of genes such as HbbHLH094 and HbbHLH163 decreased, but HbbHLH059, HbbHLH123, HbbHLH133, and others were upregulated, while under drought stress, the expression of genes such as HbbHLH057, HbbHLH164, and HbbHLH167 was inhibited, while genes such as HbbHLH029, HbbHLH051, and HbbHLH176 were upregulated. These observations strongly support the functional diversity of bHLH transcription factors, indicating their extensive involvement in regulating plant growth and development, hormone responses, and stress adaptation.
Genes that were significantly highly expressed in all tissues or showed differential expression in at least one of the five tissues were selected for RT-qPCR validation of the expression levels in different tissues (bark, leaves, latex, female flowers, and male flowers). The qPCR results were largely consistent with the transcriptome data. HbbHLH130 showed a relatively uniform expression across all tissues. HbbHLH015 was highly expressed in the latex. HbbHLH060 was highly expressed in the male flowers. HbbHLH083 was significantly highly expressed in the leaves and almost undetectable in other tissues. HbbHLH123 showed higher expression levels in bark and flowers (Figure 9).
Based on the transcriptome data and previous research, 11 genes were selected for RT-qPCR to further elucidate the expression patterns of HbbHLH genes under ethylene and methyl jasmonate treatments. Some of these selected gene homologues have been shown in other plants to be involved in responses to ethylene and methyl jasmonate.
The results indicated that most of the selected genes responded to ethylene and methyl jasmonate treatment. Under ethylene treatment, HbbHLH015, HbbHLH115, HbbHLH163, and HbbHLH164 displayed an initial upregulation, followed by downregulation, with a peak at 8 h post-treatment. HbbHLH098, HbbHLH109, and HbbHLH116 were significantly upregulated within the first 4 h, followed by downregulation, with expression levels rebounding 12 h post-treatment. HbbHLH059, HbbHLH074, HbbHLH075, and HbbHLH094 exhibited fluctuations in expression during the early stages of treatment, peaking at 24 h (Figure 10a). Under methyl jasmonate treatment, most genes were significantly upregulated, peaking at 8–12 h. Notably, HbbHLH094, HbbHLH163, HbbHLH074, and HbbHLH115 demonstrated similar expression patterns under JA treatment (Figure 10b). Additionally, HbbHLH075 and HbbHLH163 showed similar transcriptional changes after treatment with ethylene and methyl jasmonate. However, the quantitative results for individual genes did not always align with the transcriptional changes observed in transcriptome data. This discrepancy may be due to sample heterogeneity, experimental variability, or differences in the data normalization methods.
Similarly, based on transcriptome data and previous research, 12 HbbHLH genes were selected to validate changes in their expression patterns under cold conditions. The results showed that genes such as HbbHLH094, HbbHLH076, and HbbHLH163 were significantly upregulated under cold conditions, whereas HbbHLH043, HbbHLH051, and HbbHLH179 were significantly downregulated. Interestingly, HbbHLH094 and HbbHLH163, which exhibited similar expression trends under methyl jasmonate treatment, also displayed similar expression patterns under cold conditions (Figure 11).

4. Discussion

In most species, despite varying selective pressures, the number of bHLH genes remains relatively consistent. For example, the 119.1 Mb genome of A. thaliana has 162 bHLH genes [7]. In contrast, the 385.7 Mb genome of rice (Oryza sativa) contains 167 genes [9]. With a 392.2 Mb genome, Populus trichocarpa Torr. & Gray has 183 bHLH genes [8]. A total of 197 of these genes were found in Pyrus × bretschneideri Rehd [62], which has a genome size of 509.1 Mb. Finally, H. brasiliensis has 180 bHLH genes despite having a larger genome (1.9 Gb). This stability suggests that bHLH transcription factors play essential roles in fundamental biological processes, and that the family has undergone considerable evolutionary conservation.
In the rubber tree, the bHLH genes were categorized into 23 subfamilies; the number of members in most subfamilies was proportional to that in Arabidopsis.
Genes with close phylogenetic relationships and protein domains often have similar functions [63]. Previous studies have shown that in Arabidopsis, three bHLH proteins from the Ia family, SPCH, MUTE, and FAMA, along with their heterodimeric partners SCRM, collectively mediate cell-state transitions and induce stomatal development [64,65]. In rubber trees, homologous genes HbbHLH049, HbbHLH126, HbbHLH062, and HbbHLH004 are likely to have similar functions. This conclusion is supported by the GO enrichment analysis, which showed that these four genes, along with other members of the Ia family, are enriched in the biological process of stomatal complex development. Similarly, the IX subfamily in Arabidopsis includes AtbHLH80 (FBH) genes, which regulate flowering time via the CO pathway [15]. In Hevea, the IX subfamily members HbbHLH076, HbbHLH118, and HbbHLH139 were enriched in flowering-related GO terms (GO:0048573), suggesting similar regulatory roles. Additionally, the Ib subfamily members HbbHLH038, HbbHLH120, and HbbHLH137 may regulate iron homeostasis in a manner similar to AtbHLH38 (ORG2) and AtbHLH39 (OGR3) [18].
Protein–protein interaction analysis identified interactions between bHLH genes and other functionally characterized genes. For example, HbbHLH156 interacts with 16 other bHLH proteins across various subfamilies, suggesting that it is involved in important regulatory networks. However, research on this gene remains limited and further studies are warranted to explore its role in rubber tree physiology.
Jasmonic acid (JA) plays a crucial regulatory role in latex drainage in rubber trees [60,66], with MYC transcription factors from the bHLH family serving as key components of the JA signalling pathway [67]. In this study, we identified two subfamilies, IIId and IIIe, which are specifically and highly expressed in latex and show significant responsiveness to JA treatment. Phylogenetic analysis revealed that these genes closely cluster with the MYC family in A. thaliana. AtMYC2, AtMYC3, and AtMYC4 regulate a range of JA-dependent functions, with AtMYC2 being pivotal to the COI1-JAZ-MYC2 module [68]. In rubber trees, the HbCOI1–HbJAZ3–MYC2 module has been shown to regulate rubber biosynthesis [69]. Additionally, previous research has demonstrated that HbMYC can transcriptionally activate HbPSK to promote laticifer differentiation [70], thereby increasing rubber yield, a process that is also regulated by JA. In our study, we found that the rubber tree genes HbbHLH059 and HbbHLH094, belonging to the IIIe subfamily, share high sequence similarity with the previously identified HbMYC2b [32] and HbMYC2 [71] genes, which have been reported to mediate the upregulation of the rubber biosynthesis-related genes HbFPS and HbSRPP. Furthermore, under JA treatment, members of the IIId subfamily, HbbHLH074, HbbHLH163, and HbbHLH115, exhibited transcriptional changes similar to those of HbbHLH094 and HbbHLH059. Therefore, we hypothesized that these genes may also positively regulate the transcription of rubber biosynthesis-related genes.
Phylogenetic analysis revealed that the IIId subfamily in rubber trees has undergone significant expansion compared to Arabidopsis, with four times as many members (Figure 3). Expression analysis showed that nearly all IIId subfamily members are highly and specifically expressed in latex, particularly HbbHLH015 and HbbHLH075, whose expression levels in latex are more than tenfold higher compared than in other tissues. Jasmonic acid-responsive elements were identified in the promoter regions of HbbHLH116, HbbHLH109, HbbHLH169, HbbHLH015, and HbbHLH098, whereas ethylene-responsive elements were found in the promoters of HbbHLH116, HbbHLH064, and HbbHLH075. The expression levels of these genes showed significant changes under both the JA and ethylene treatments. Given that ethylene and JA have been shown to promote latex drainage in rubber trees, we speculated that these genes may also be involved in regulating rubber biosynthesis.
Several HbbHLH genes, including HbbHLH043, HbbHLH051, HbbHLH076, HbbHLH094, HbbHLH116, and HbbHLH163, showed significant transcriptional changes after cold treatment. Additionally, multiple cold-responsive elements were identified in the promoter regions of HbbHLH043, HbbHLH121, and HbbHLH117, suggesting that these genes may be involved in the cold tolerance response of rubber trees. According to the GO enrichment analysis, these genes are involved in multiple subfamilies and are implicated in a variety of biological processes. This suggests that these genes may participate in indirect pathways related to cold stress, such as light signalling, stomatal movement, or hormone response pathways.
Previous studies have shown that MYC2 mediates cold stress responses through the JA signalling pathway in apples [72]. In Hevea, HbbHLH094 exhibited significant transcriptional changes under both low-temperature and JA treatments, suggesting that it might also participate in JA-mediated cold stress responses. In contrast, the segment duplication gene HbbHLH059 did not display similar changes in expression, likely because of differences in cis-regulatory elements. Notably, HbbHLH094 and HbbHLH163 displayed similar transcriptional patterns in response to both methyl jasmonate and cold treatments, indicating that they may jointly participate in JA pathway regulation of cold stress responses.

5. Conclusions

This study identified 180 bHLH genes in H. brasiliensis, highlighting the evolutionary conservation and functional diversity of the bHLH gene family. Through the integration of extensive transcriptomic data, GO enrichment analysis, and protein interaction analysis, we demonstrated that bHLH genes in Hevea are involved in a broad spectrum of biological processes including growth and development, photomorphogenesis, iron ion homeostasis, secondary metabolite synthesis and metabolism, and responses to abiotic stress and hormonal signals. We hypothesized that HbbHLH094, HbbHLH059, HbbHLH163, HbbHLH074, and HbbHLH115 may play a positive regulatory role in latex biosynthesis-related genes. HbbHLH094 and HbbHLH163 are possibly involved in cold stress responses through the JA signalling pathway. However, because the current analysis is primarily based on computational predictions, transcriptomic and enrichment analyses offer valuable insights into potential gene functions. However, direct experimental validation is required to confirm the roles of these HbbHLH genes. Additionally, the precise molecular mechanisms by which these genes influence rubber biosynthesis remain unclear and present a critical avenue for future research. Overall, the findings of this study provide a solid foundation for a more comprehensive understanding of the bHLH gene family in Hevea brasiliensis and offer important clues for the functional characterization of individual members.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/f15112027/s1, File S1: Amino acid sequences of 180 HbbHLH proteins. File S2: CDS of 180 HbbHLH genes. Supplemental Figures: Figure S1: Gene structure and conserved motif analysis of 180 HbbHLH genes. Figure S2: Analysis of cis-regulatory elements in the promoter regions of 180 HbbHLH genes. Table S1: Characterization of 180 HbbHLH genes. Table S2: GO enrichment analysis of 180 HbbHLH genes. Table S3: Protein interaction network of HbbHLH genes mapped to Arabidopsis. Table S4: Raw data for transcriptomic analysis of 180 HbbHLH genes. Table S5: The primers used in RT-qPCR analysis.

Author Contributions

Conceptualization, Z.W., Z.D. and H.C.; Methodology, Z.W.; Software, Formal Analysis, Z.W.; Resources, Z.D., T.W., Y.Y. and X.W.; Writing—Original Draft, Z.W.; Writing—Review and Editing, Formal Analysis, H.C., F.R., Z.D. and Y.Y.; Visualization, Z.W.; Supervision, H.C.; Project Administration, H.C.; Funding Acquisition, H.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Central Public-interest Scientific Institution Basal Research Fund for the Chinese Academy of Tropical Agricultural Sciences (grant number 1630022023010), the Chinese Academy of Tropical Agricultural Sciences for Science and Technology Innovation Team of National Tropical Agricultural Science Center (grant number CATASCXTD202401), the Project of National Key Laboratory for Tropical Crop Breeding (grant number No. NKLTCB202321), and the National Natural Science Foundation of China (grant number 32471914).

Data Availability Statement

All analyzed data can be found in the article or in the Supplementary Materials.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Cheng, H.; Song, X.; Hu, Y.; Wu, T.; Yang, Q.; An, Z.; Feng, S.; Deng, Z.; Wu, W.; Zeng, X.; et al. Chromosome-level wild Hevea brasiliensis genome provides new tools for genomic-assisted breeding and valuable loci to elevate rubber yield. Plant Biotechnol. J. 2023, 21, 1058–1072. [Google Scholar] [CrossRef] [PubMed]
  2. Toledo-Ortiz, G.; Huq, E.; Quail, P.H. The Arabidopsis Basic/Helix-Loop-Helix Transcription Factor Family. Plant Cell 2003, 15, 1749–1770. [Google Scholar] [CrossRef]
  3. Atchley, W.R.; Fitch, W.M. A natural classification of the basic helix–loop–helix class of transcription factors. Proc. Natl. Acad. Sci. USA 1997, 94, 5172–5176. [Google Scholar] [CrossRef] [PubMed]
  4. Vervoort, M.; Ledent, V. The Evolution of the Neural Basic Helix-Loop-Helix Proteins. Sci. World J. 2002, 1, 396–426. [Google Scholar] [CrossRef] [PubMed]
  5. Liu, Y.; Lin, L.; Liu, Y.; Mo, Q.; Zhang, D.; Li, W.; Xiong, X.; Yu, X.; Li, Y. Genome-Wide Analysis of the bHLH Gene Family in Loropetalum chinense var. rubrum: Identification, Classification, Evolution, and Diversity of Expression Patterns under Cultivation. Plants 2023, 12, 3392. [Google Scholar] [CrossRef]
  6. Heim, M.A. The Basic Helix-Loop-Helix Transcription Factor Family in Plants: A Genome-Wide Study of Protein Structure and Functional Diversity. Mol. Biol. Evol. 2003, 20, 735–747. [Google Scholar] [CrossRef]
  7. Bailey, P.C.; Martin, C.; Toledo-Ortiz, G.; Quail, P.H.; Huq, E.; Heim, M.A.; Jakoby, M.; Werber, M.; Weisshaar, B. Update on the Basic Helix-Loop-Helix Transcription Factor Gene Family in Arabidopsis thaliana. Plant Cell 2003, 15, 2497–2502. [Google Scholar] [CrossRef]
  8. Carretero-Paulet, L.; Galstyan, A.; Roig-Villanova, I.; Martínez-García, J.F.; Bilbao-Castro, J.R.; Robertson, D.L. Genome-Wide Classification and Evolutionary Analysis of the bHLH Family of Transcription Factors in Arabidopsis, Poplar, Rice, Moss, and Algae. Plant Physiol. 2010, 153, 1398–1412. [Google Scholar] [CrossRef]
  9. Li, X.; Duan, X.; Jiang, H.; Sun, Y.; Tang, Y.; Yuan, Z.; Guo, J.; Liang, W.; Chen, L.; Yin, J.; et al. Genome-Wide Analysis of Basic/Helix-Loop-Helix Transcription Factor Family in Rice and Arabidopsis. Plant Physiol. 2006, 141, 1167–1184. [Google Scholar] [CrossRef]
  10. Wang, J.; Hu, Z.; Zhao, T.; Yang, Y.; Chen, T.; Yang, M.; Yu, W.; Zhang, B. Genome-wide analysis of bHLH transcription factor and involvement in the infection by yellow leaf curl virus in tomato (Solanum lycopersicum). BMC Genom. 2015, 16, 39. [Google Scholar] [CrossRef]
  11. Li, J.; Wang, T.; Han, J.; Ren, Z. Genome-wide identification and characterization of cucumber bHLH family genes and the functional characterization of CsbHLH041 in NaCl and ABA tolerance in Arabidopsis and cucumber. BMC Plant Biol. 2020, 20, 272. [Google Scholar] [CrossRef] [PubMed]
  12. Wang, R.; Zhao, P.; Kong, N.; Lu, R.; Pei, Y.; Huang, C.; Ma, H.; Chen, Q. Genome-Wide Identification and Characterization of the Potato bHLH Transcription Factor Family. Genes 2018, 9, 54. [Google Scholar] [CrossRef] [PubMed]
  13. Liu, F.; Zhang, H.; Ding, L.; Soppe, W.J.J.; Xiang, Y. REVERSAL OF RDO5 1, a Homolog of Rice Seed Dormancy4, Interacts with bHLH57 and Controls ABA Biosynthesis and Seed Dormancy in Arabidopsis. Plant Cell 2020, 32, 1933–1948. [Google Scholar] [CrossRef] [PubMed]
  14. Oh, E.; Yamaguchi, S.; Kamiya, Y.; Bae, G.; Chung, W.-I.; Choi, G. Light activates the degradation of PIL5 protein to promote seed germination through gibberellin in Arabidopsis. Plant J. 2006, 47, 124–139. [Google Scholar] [CrossRef]
  15. Ito, S.; Song, Y.H.; Josephson-Day, A.R.; Miller, R.J.; Breton, G.; Olmstead, R.G.; Imaizumi, T. FLOWERING BHLH transcriptional activators control expression of the photoperiodic flowering regulator CONSTANS in Arabidopsis. Proc. Natl. Acad. Sci. USA 2012, 109, 3582–3587. [Google Scholar] [CrossRef]
  16. Sharma, N.; Xin, R.; Kim, D.-H.; Sung, S.; Lange, T.; Huq, E. NO FLOWERING IN SHORT DAY (NFL) is a bHLH transcription factor that promotes flowering specifically under short-day conditions in Arabidopsis. Development 2016, 143, 682–690. [Google Scholar] [CrossRef] [PubMed]
  17. Kumar, S.V.; Lucyshyn, D.; Jaeger, K.E.; Alós, E.; Alvey, E.; Harberd, N.P.; Wigge, P.A. Transcription factor PIF4 controls the thermosensory activation of flowering. Nature 2012, 484, 242–245. [Google Scholar] [CrossRef]
  18. Yuan, Y.; Wu, H.; Wang, N.; Li, J.; Zhao, W.; Du, J.; Wang, D.; Ling, H.-Q. FIT interacts with AtbHLH38 and AtbHLH39 in regulating iron uptake gene expression for iron homeostasis in Arabidopsis. Cell Res. 2008, 18, 385–397. [Google Scholar] [CrossRef]
  19. Wang, N.; Cui, Y.; Liu, Y.; Fan, H.; Du, J.; Huang, Z.; Yuan, Y.; Wu, H.; Ling, H.-Q. Requirement and functional redundancy of Ib subgroup bHLH proteins for iron deficiency responses and uptake in Arabidopsis thaliana. Mol. Plant 2013, 6, 503–513. [Google Scholar] [CrossRef]
  20. Wu, H.; Chen, C.; Du, J.; Liu, H.; Cui, Y.; Zhang, Y.; He, Y.; Wang, Y.; Chu, C.; Feng, Z.; et al. Co-overexpression FIT with AtbHLH38 or AtbHLH39 in Arabidopsis-enhanced cadmium tolerance via increased cadmium sequestration in roots and improved iron homeostasis of shoots. Plant Physiol. 2012, 158, 790–800. [Google Scholar] [CrossRef]
  21. Liu, Q.; Kasuga, M.; Sakuma, Y.; Abe, H.; Miura, S.; Yamaguchi-Shinozaki, K.; Shinozaki, K. Two transcription factors, DREB1 and DREB2, with an EREBP/AP2 DNA binding domain separate two cellular signal transduction pathways in drought- and low-temperature-responsive gene expression, respectively, in Arabidopsis. Plant Cell 1998, 10, 1391–1406. [Google Scholar] [CrossRef] [PubMed]
  22. Ni, M.; Tepperman, J.M.; Quail, P.H. PIF3, a phytochrome-interacting factor necessary for normal photoinduced signal transduction, is a novel basic helix-loop-helix protein. Cell 1998, 95, 657–667. [Google Scholar] [CrossRef] [PubMed]
  23. Leivar, P.; Monte, E. PIFs: Systems integrators in plant development. Plant Cell 2014, 26, 56–78. [Google Scholar] [CrossRef]
  24. Fairchild, C.D.; Schumaker, M.A.; Quail, P.H. HFR1 encodes an atypical bHLH protein that acts in phytochrome A signal transduction. Genes Dev. 2000, 14, 2377–2391. [Google Scholar]
  25. Li, X.; Zhang, H.; Ai, Q.; Liang, G.; Yu, D. Two bHLH Transcription Factors, bHLH34 and bHLH104, Regulate Iron Homeostasis in Arabidopsis thaliana. Plant Physiol. 2016, 170, 2478–2493. [Google Scholar] [CrossRef]
  26. Schweizer, F.; Fernández-Calvo, P.; Zander, M.; Diez-Diaz, M.; Fonseca, S.; Glauser, G.; Lewsey, M.G.; Ecker, J.R.; Solano, R.; Reymond, P. Arabidopsis basic helix-loop-helix transcription factors MYC2, MYC3, and MYC4 regulate glucosinolate biosynthesis, insect performance, and feeding behavior. Plant Cell 2013, 25, 3117–3132. [Google Scholar] [CrossRef] [PubMed]
  27. Kim, J.; Kim, H.-Y. Molecular characterization of a bHLH transcription factor involved in Arabidopsis abscisic acid-mediated response. Biochim. Biophys. Acta 2006, 1759, 191–194. [Google Scholar] [CrossRef]
  28. Tian, H.; Guo, H.; Dai, X.; Cheng, Y.; Zheng, K.; Wang, X.; Wang, S. An ABA down-regulated bHLH transcription repressor gene, bHLH129 regulates root elongation and ABA response when overexpressed in Arabidopsis. Sci. Rep. 2015, 5, 17587. [Google Scholar] [CrossRef] [PubMed]
  29. Abe, H.; Urao, T.; Ito, T.; Seki, M.; Shinozaki, K.; Yamaguchi-Shinozaki, K. Arabidopsis AtMYC2 (bHLH) and AtMYB2 (MYB) function as transcriptional activators in abscisic acid signaling. Plant Cell 2003, 15, 63–78. [Google Scholar] [CrossRef]
  30. Yamaguchi, T.; Kurihara, Y.; Makita, Y.; Okubo-Kurihara, E.; Kageyama, A.; Osada, E.; Shimada, S.; Tsuchida, H.; Shimada, H.; Matsui, M. Regulatory Potential of bHLH-Type Transcription Factors on the Road to Rubber Biosynthesis in Hevea brasiliensis. Plants 2020, 9, 674. [Google Scholar] [CrossRef]
  31. Chen, W.-J.; Wang, X.; Yan, S.; Huang, X.; Yuan, H.-M. The ICE-like transcription factor HbICE2 is involved in jasmonate-regulated cold tolerance in the rubber tree (Hevea brasiliensis). Plant Cell Rep. 2019, 38, 699–714. [Google Scholar] [CrossRef] [PubMed]
  32. Guo, D.; Li, H.-L.; Wang, Y.; Zhu, J.-H.; Peng, S.-Q. A myelocytomatosis transcription factor from Hevea brasiliensis positively regulates the expression of the small rubber particle protein gene. Ind. Crops Prod. 2019, 133, 90–97. [Google Scholar] [CrossRef]
  33. 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]
  34. Potter, S.C.; Luciani, A.; Eddy, S.R.; Park, Y.; Lopez, R.; Finn, R.D. HMMER web server: 2018 update. Nucleic Acids Res. 2018, 46, W200–W204. [Google Scholar] [CrossRef]
  35. Marchler-Bauer, A.; Bryant, S.H. CD-Search: Protein domain annotations on the fly. Nucleic Acids Res. 2004, 32, W327–W331. [Google Scholar] [CrossRef]
  36. Letunic, I.; Khedkar, S.; Bork, P. SMART: Recent updates, new developments and status in 2020. Nucleic Acids Res. 2021, 49, D458–D460. [Google Scholar] [CrossRef]
  37. 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]
  38. 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] [PubMed]
  39. Larkin, M.A.; Blackshields, G.; Brown, N.P.; Chenna, R.; McGettigan, P.A.; McWilliam, H.; Valentin, F.; Wallace, I.M.; Wilm, A.; Lopez, R.; et al. Clustal W and Clustal X version 2.0. Bioinformatics 2007, 23, 2947–2948. [Google Scholar] [CrossRef]
  40. Crooks, G.E.; Hon, G.; Chandonia, J.-M.; Brenner, S.E. WebLogo: A Sequence Logo Generator. Genome Res. 2004, 14, 1188–1190. [Google Scholar] [CrossRef]
  41. Tamura, K.; Stecher, G.; Peterson, D.; Filipski, A.; Kumar, S. MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. Mol. Biol. Evol. 2013, 30, 2725–2729. [Google Scholar] [CrossRef] [PubMed]
  42. Subramanian, B.; Gao, S.; Lercher, M.J.; Hu, S.; Chen, W.-H. Evolview v3: A webserver for visualization, annotation, and management of phylogenetic trees. Nucleic Acids Res. 2019, 47, W270–W275. [Google Scholar] [CrossRef]
  43. 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]
  44. Rombauts, S.; Dehais, P.; Van Montagu, M.; Rouze, P. PlantCARE, a plant cis-acting regulatory element database. Nucleic Acids Res. 1999, 27, 295–296. [Google Scholar] [CrossRef] [PubMed]
  45. Voorrips, R.E. MapChart: Software for the Graphical Presentation of Linkage Maps and QTLs. J. Hered. 2002, 93, 77–78. [Google Scholar] [CrossRef] [PubMed]
  46. Wang, Y.; Tang, H.; Debarry, J.D.; Tan, X.; Li, J.; Wang, X.; Lee, T.; 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]
  47. Krzywinski, M.; Schein, J.; Birol, I.; Connors, J.; Gascoyne, R.; Horsman, D.; Jones, S.J.; Marra, M.A. Circos: An information aesthetic for comparative genomics. Genome Res. 2009, 19, 1639–1645. [Google Scholar] [CrossRef]
  48. Wu, T.; Hu, E.; Xu, S.; Chen, M.; Guo, P.; Dai, Z.; Feng, T.; Zhou, L.; Tang, W.; Zhan, L.; et al. clusterProfiler 4.0: A universal enrichment tool for interpreting omics data. Innovation 2021, 2, 100141. [Google Scholar] [CrossRef]
  49. Sun, J.; Lu, F.; Luo, Y.; Bie, L.; Xu, L.; Wang, Y. OrthoVenn3: An integrated platform for exploring and visualizing orthologous data across genomes. Nucleic Acids Res. 2023, 51, W397–W403. [Google Scholar] [CrossRef]
  50. Shannon, P.; Markiel, A.; Ozier, O.; Baliga, N.S.; Wang, J.T.; Ramage, D.; Amin, N.; Schwikowski, B.; Ideker, T. Cytoscape: A software environment for integrated models of biomolecular interaction networks. Genome Res. 2003, 13, 2498–2504. [Google Scholar] [CrossRef]
  51. Cheng, H. Hevea DB: A Hub for Rubber Tree Genetic and Genomic Resources. In The Rubber Tree Genome; Matsui, M., Chow, K.-S., Eds.; Springer International Publishing: Cham, Switzerland, 2020; pp. 137–152. ISBN 978-3-030-42258-5. [Google Scholar] [CrossRef]
  52. Kumar, L.; Futschik, M.E. Mfuzz: A software package for soft clustering of microarray data. Bioinformation 2007, 2, 5–7. [Google Scholar] [CrossRef] [PubMed]
  53. Pires, N.; Dolan, L. Origin and Diversification of Basic-Helix-Loop-Helix Proteins in Plants. Mol. Biol. Evol. 2010, 27, 862–874. [Google Scholar] [CrossRef] [PubMed]
  54. Ferré-D’Amaré, A.R.; Prendergast, G.C.; Ziff, E.B.; Burley, S.K. Recognition by Max of its cognate DNA through a dimeric b/HLH/Z domain. Nature 1993, 363, 38–45. [Google Scholar] [CrossRef] [PubMed]
  55. Atchley, W.R.; Terhalle, W.; Dress, A. Positional Dependence, Cliques, and Predictive Motifs in the bHLH Protein Domain. J. Mol. Evol. 1999, 48, 501–516. [Google Scholar] [CrossRef]
  56. Liu, H.; Lyu, H.-M.; Zhu, K.; Van de Peer, Y.; Cheng, Z.-M. The emergence and evolution of intron-poor and intronless genes in intron-rich plant gene families. Plant J. 2021, 105, 1072–1082. [Google Scholar] [CrossRef]
  57. Buck, M.J.; Atchley, W.R. Phylogenetic Analysis of Plant Basic Helix-Loop-Helix Proteins. J. Mol. Evol. 2003, 56, 742–750. [Google Scholar] [CrossRef]
  58. Kanaoka, M.M.; Pillitteri, L.J.; Fujii, H.; Yoshida, Y.; Bogenschutz, N.L.; Takabayashi, J.; Zhu, J.-K.; Torii, K.U. SCREAM/ICE1 and SCREAM2 specify three cell-state transitional steps leading to arabidopsis stomatal differentiation. Plant Cell 2008, 20, 1775–1785. [Google Scholar] [CrossRef]
  59. Gao, F.; Robe, K.; Gaymard, F.; Izquierdo, E.; Dubos, C. The Transcriptional Control of Iron Homeostasis in Plants: A Tale of bHLH Transcription Factors? Front. Plant Sci. 2019, 10, 6. [Google Scholar] [CrossRef]
  60. Hao, B. Laticifer Differentiation in Hevea brasiliensis: Induction by Exogenous Jasmonic Acid and Linolenic Acid. Ann. Bot. 2000, 85, 37–43. [Google Scholar] [CrossRef]
  61. Zhu, J.; Zhang, Z. Ethylene stimulation of latex production in Hevea brasiliensis. Plant Signal. Behav. 2009, 4, 1072–1074. [Google Scholar] [CrossRef]
  62. Dong, H.; Chen, Q.; Dai, Y.; Hu, W.; Zhang, S.; Huang, X. Genome-wide identification of PbrbHLH family genes, and expression analysis in response to drought and cold stresses in pear (Pyrus bretschneideri). BMC Plant Biol. 2021, 21, 86. [Google Scholar] [CrossRef] [PubMed]
  63. Zou, X.; Li, Y.; Yin, H.; Xu, J.; Li, Z.; Jiang, S.; Chen, F.; Li, Y.; Xiao, W.; Liu, S.; et al. Genome-Wide Identification, Characterization, and Expression Analysis under Abiotic Stresses of the UBP Gene Family in Rice (Oryza sativa L.). Agronomy 2023, 13, 2809. [Google Scholar] [CrossRef]
  64. Ohashi-Ito, K.; Bergmann, D.C. Arabidopsis FAMA Controls the Final Proliferation/Differentiation Switch during Stomatal Development. Plant Cell 2006, 18, 2493–2505. [Google Scholar] [CrossRef] [PubMed]
  65. Peterson, K.M.; Rychel, A.L.; Torii, K.U. Out of the Mouths of Plants: The Molecular Basis of the Evolution and Diversity of Stomatal Development. Plant Cell 2010, 22, 296–306. [Google Scholar] [CrossRef]
  66. Tian, W.-M.; Yang, S.-G.; Shi, M.-J.; Zhang, S.-X.; Wu, J.-L. Mechanical wounding-induced laticifer differentiation in rubber tree: An indicative role of dehydration, hydrogen peroxide, and jasmonates. J. Plant Physiol. 2015, 182, 95–103. [Google Scholar] [CrossRef]
  67. Kazan, K.; Manners, J.M. MYC2: The Master in Action. Mol. Plant 2013, 6, 686–703. [Google Scholar] [CrossRef]
  68. Chini, A.; Boter, M.; Solano, R. Plant oxylipins: COI1/JAZs/MYC2 as the core jasmonic acid-signalling module. FEBS J. 2009, 276, 4682–4692. [Google Scholar] [CrossRef] [PubMed]
  69. Zhai, J.; Hao, H.; Xiao, H.; Cao, Y.; Lin, X.; Huang, X. Identification of JAZ-interacting MYC transcription factors involved in latex drainage in Hevea brasiliensis. Sci Rep. 2018, 8, 909. [Google Scholar] [CrossRef]
  70. Chao, J.; Wu, S.; Shi, M.; Xu, X.; Gao, Q.; Du, H.; Gao, B.; Guo, D.; Yang, S.; Tian, W.M.; et al. Genomic insight into domestication of rubber tree. Nat. Commun. 2023, 14, 4651. [Google Scholar] [CrossRef]
  71. Deng, X.; Guo, D.; Yang, S.; Shi, M.; Chao, J.; Li, H.; Peng, S.; Tian, W. Jasmonate signalling in the regulation of rubber biosynthesis in laticifer cells of rubber tree, Hevea brasiliensis. J. Exp. Bot. 2018, 69, 3559–3571. [Google Scholar] [CrossRef]
  72. Wang, Y.; Xu, H.; Liu, W.; Wang, N.; Qu, C.; Jiang, S.; Fang, H.; Zhang, Z.; Chen, X. Methyl jasmonate enhances apple’ cold tolerance through the JAZ–MYC2 pathway. Plant Cell Tiss. Organ. Cult. 2019, 136, 75–84. [Google Scholar] [CrossRef]
Forests 15 02027 g001
Figure 1. Phylogenetic tree of diverse species showing the number of bHLH families. The phylogenetic tree reflects the evolutionary relationships and divergence times of various plant species as determined using the TimeTree database (http://www.timetree.org, accessed on 28 March 2024). Different colored nodes represent various classifications, including Chlorophyta (yellow), Spermatophyta (green), Solanaceae (red), Brassicaceae (purple), Euphorbiaceae (blue), and Rosaceae (orange), among others. A linear scale of time in MYA (millions of years ago) and a geological timescale are shown at the bottom of the tree.
Figure 1. Phylogenetic tree of diverse species showing the number of bHLH families. The phylogenetic tree reflects the evolutionary relationships and divergence times of various plant species as determined using the TimeTree database (http://www.timetree.org, accessed on 28 March 2024). Different colored nodes represent various classifications, including Chlorophyta (yellow), Spermatophyta (green), Solanaceae (red), Brassicaceae (purple), Euphorbiaceae (blue), and Rosaceae (orange), among others. A linear scale of time in MYA (millions of years ago) and a geological timescale are shown at the bottom of the tree.
Forests 15 02027 g001
Forests 15 02027 g002
Figure 2. The bHLH domain is highly conserved across all the HbbHLH proteins. The overall height of the stack indicates the sequence conservation at that position. Capital letters indicate amino acids with more than 50% conservation, whereas asterisks indicate amino acids with more than 75% conservation across the 180 HbbHLH domains.
Figure 2. The bHLH domain is highly conserved across all the HbbHLH proteins. The overall height of the stack indicates the sequence conservation at that position. Capital letters indicate amino acids with more than 50% conservation, whereas asterisks indicate amino acids with more than 75% conservation across the 180 HbbHLH domains.
Forests 15 02027 g002
Forests 15 02027 g003
Figure 3. Phylogenetic analysis of bHLH gene families. The phylogenetic tree was generated using MEGA 7.0 with 1000 bootstrap replicates. Different colors indicate different subgroups. Red triangles represent AtbHLH proteins and blue triangles represent HbbHLH proteins.
Figure 3. Phylogenetic analysis of bHLH gene families. The phylogenetic tree was generated using MEGA 7.0 with 1000 bootstrap replicates. Different colors indicate different subgroups. Red triangles represent AtbHLH proteins and blue triangles represent HbbHLH proteins.
Forests 15 02027 g003
Forests 15 02027 g004
Figure 4. Gene structure, cis-regulatory elements, and chromosomal localization of HbbHLH genes. (a) Gene structure and domain positions of HbbHLH IIId and IIIe subfamilies. (b) Statistics of the three categories of cis-regulatory elements in HbbHLH genes. (c) Chromosomal localization of HbbHLH genes, with tandemly duplicated genes marked in green.
Figure 4. Gene structure, cis-regulatory elements, and chromosomal localization of HbbHLH genes. (a) Gene structure and domain positions of HbbHLH IIId and IIIe subfamilies. (b) Statistics of the three categories of cis-regulatory elements in HbbHLH genes. (c) Chromosomal localization of HbbHLH genes, with tandemly duplicated genes marked in green.
Forests 15 02027 g004
Forests 15 02027 g005
Figure 5. Collinear analysis of HbbHLH genes. Gray lines in the background indicate all collinear blocks within the rubber tree genome, whereas red lines indicate collinear gene pairs of bHLH genes.
Figure 5. Collinear analysis of HbbHLH genes. Gray lines in the background indicate all collinear blocks within the rubber tree genome, whereas red lines indicate collinear gene pairs of bHLH genes.
Forests 15 02027 g005
Forests 15 02027 g006
Figure 6. The Gene Ontology enrichment analysis of HbbHLH genes in rubber trees. Categorized into biological processes (BP), (only the top ten processes are shown), molecular functions (MF), and cellular components (CC).
Figure 6. The Gene Ontology enrichment analysis of HbbHLH genes in rubber trees. Categorized into biological processes (BP), (only the top ten processes are shown), molecular functions (MF), and cellular components (CC).
Forests 15 02027 g006
Forests 15 02027 g007
Figure 7. Protein interaction network of HbbHLH genes mapped to Arabidopsis genes. The circle size indicates the number of interaction partners, with larger circles representing more extensive interaction networks. The thickness of the connecting lines reflects the combined interaction scores, with thicker lines denoting stronger interactions. Orange circles highlight rubber tree bHLH genes, with black text indicating rubber tree gene ID and white text (in parentheses) showing their corresponding Arabidopsis homologues. Non-orange circles represent non-bHLH proteins labelled with Arabidopsis homologue names. Different colors denote distinct functional classifications.
Figure 7. Protein interaction network of HbbHLH genes mapped to Arabidopsis genes. The circle size indicates the number of interaction partners, with larger circles representing more extensive interaction networks. The thickness of the connecting lines reflects the combined interaction scores, with thicker lines denoting stronger interactions. Orange circles highlight rubber tree bHLH genes, with black text indicating rubber tree gene ID and white text (in parentheses) showing their corresponding Arabidopsis homologues. Non-orange circles represent non-bHLH proteins labelled with Arabidopsis homologue names. Different colors denote distinct functional classifications.
Forests 15 02027 g007
Forests 15 02027 g008
Figure 8. Temporal and spatial expression patterns of HbbHLH genes in 16 rubber tree varieties. (a) Heatmap of HbbHLH gene expression patterns in rubber trees. Each row represents an HbbHLH gene and the column names are formatted as variety_tissue_treatment. The variety numbers represent the following rubber tree varieties: 1: BT3410, 2: CATAS7-20-59, 3: CATAS7-33-97, 4: CATAS8-79, 5: CATAS88-13, 6: CATAS93-114, 7: FX3864, 8: GT1, 9: PR107, 10: PR255, 11: REKEN501, 12: RRΙΙ105, 13: RRIM600, 14: RRIM928, 15: TB1, and 16: Wencang11. (b,c) The series of diagrams illustrates the patterns of dynamic changes in HbbHLH DEGs during ethylene treatment and cold exposure, respectively, using Mfuzz.
Figure 8. Temporal and spatial expression patterns of HbbHLH genes in 16 rubber tree varieties. (a) Heatmap of HbbHLH gene expression patterns in rubber trees. Each row represents an HbbHLH gene and the column names are formatted as variety_tissue_treatment. The variety numbers represent the following rubber tree varieties: 1: BT3410, 2: CATAS7-20-59, 3: CATAS7-33-97, 4: CATAS8-79, 5: CATAS88-13, 6: CATAS93-114, 7: FX3864, 8: GT1, 9: PR107, 10: PR255, 11: REKEN501, 12: RRΙΙ105, 13: RRIM600, 14: RRIM928, 15: TB1, and 16: Wencang11. (b,c) The series of diagrams illustrates the patterns of dynamic changes in HbbHLH DEGs during ethylene treatment and cold exposure, respectively, using Mfuzz.
Forests 15 02027 g008
Forests 15 02027 g009
Figure 9. Transcriptional analysis of five HbbHLH genes across different tissues in the rubber tree with error bars representing the standard deviation of three technical replicates. Bk, bark; Lf, leaf; Lx, latex; FF, female flower; MF, male flower. Statistical significance was determined using one-way ANOVA and Tukey’s multiple comparison test, with differences denoted by lowercase letters.
Figure 9. Transcriptional analysis of five HbbHLH genes across different tissues in the rubber tree with error bars representing the standard deviation of three technical replicates. Bk, bark; Lf, leaf; Lx, latex; FF, female flower; MF, male flower. Statistical significance was determined using one-way ANOVA and Tukey’s multiple comparison test, with differences denoted by lowercase letters.
Forests 15 02027 g009
Forests 15 02027 g010
Figure 10. Transcriptional analysis of 11 HbbHLH genes in latex following treatment with ethylene (a) and methyl jasmonate (b). The x-axis labels denote ethylene (ET) and methyl jasmonate (JA). Error bars represent the standard deviation of three technical replicates. Statistical significance was assessed using one-way ANOVA and Tukey’s multiple comparison test, with differences indicated by lowercase letters.
Figure 10. Transcriptional analysis of 11 HbbHLH genes in latex following treatment with ethylene (a) and methyl jasmonate (b). The x-axis labels denote ethylene (ET) and methyl jasmonate (JA). Error bars represent the standard deviation of three technical replicates. Statistical significance was assessed using one-way ANOVA and Tukey’s multiple comparison test, with differences indicated by lowercase letters.
Forests 15 02027 g010
Forests 15 02027 g011
Figure 11. Transcriptional analysis of 12 HbbHLH genes in leaves at low temperatures (4 °C). Error bars represent the standard deviations of three technical replicates. Statistical significance was assessed using one-way ANOVA and Tukey’s multiple comparison test, with differences indicated by lowercase letters.
Figure 11. Transcriptional analysis of 12 HbbHLH genes in leaves at low temperatures (4 °C). Error bars represent the standard deviations of three technical replicates. Statistical significance was assessed using one-way ANOVA and Tukey’s multiple comparison test, with differences indicated by lowercase letters.
Forests 15 02027 g011
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Wang, Z.; Yuan, Y.; Rehman, F.; Wang, X.; Wu, T.; Deng, Z.; Cheng, H. Genome-Wide Identification and Characterization of bHLH Gene Family in Hevea brasiliensis. Forests 2024, 15, 2027. https://doi.org/10.3390/f15112027

AMA Style

Wang Z, Yuan Y, Rehman F, Wang X, Wu T, Deng Z, Cheng H. Genome-Wide Identification and Characterization of bHLH Gene Family in Hevea brasiliensis. Forests. 2024; 15(11):2027. https://doi.org/10.3390/f15112027

Chicago/Turabian Style

Wang, Zheng, Yuan Yuan, Fazal Rehman, Xin Wang, Tingkai Wu, Zhi Deng, and Han Cheng. 2024. "Genome-Wide Identification and Characterization of bHLH Gene Family in Hevea brasiliensis" Forests 15, no. 11: 2027. https://doi.org/10.3390/f15112027

APA Style

Wang, Z., Yuan, Y., Rehman, F., Wang, X., Wu, T., Deng, Z., & Cheng, H. (2024). Genome-Wide Identification and Characterization of bHLH Gene Family in Hevea brasiliensis. Forests, 15(11), 2027. https://doi.org/10.3390/f15112027

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

Article Metrics

Back to TopTop