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Article

Genome-Wide Characterization of the Heat Shock Transcription Factor Gene Family in Begonia semperflorens Reveals Promising Candidates for Heat Tolerance

1
College of Landscape Architecture and Art, Henan Agricultural University, Zhengzhou 450002, China
2
College of Life Sciences, Henan Agricultural University, Zhengzhou 450046, China
*
Authors to whom correspondence should be addressed.
Curr. Issues Mol. Biol. 2025, 47(6), 398; https://doi.org/10.3390/cimb47060398
Submission received: 18 April 2025 / Revised: 21 May 2025 / Accepted: 24 May 2025 / Published: 27 May 2025
(This article belongs to the Special Issue Molecular Mechanisms in Plant Stress Tolerance)

Abstract

Begonia semperflorens (B. semperflorens) is a popular ornamental plant widely used in landscapes such as plazas and flower beds, and it is also commonly grown as a potted plant indoors. It is known for its adaptability to high temperatures, drought, and shade. Under heat-tolerant conditions, heat shock transcription factors (HSFs) are key transcriptional regulatory proteins that play crucial roles in cellular processes. Despite extensive studies on the HSF family in various species, there has been no specific analysis targeting B. semperflorens. In this study, we identified 37 members of the BsHSF gene family in B. semperflorens based on its genome scaffold, which are unevenly distributed across the genome. Phylogenetic analysis reveals that these 37 members can be divided into three subfamilies. Analysis of their physicochemical properties shows significant diversity among these proteins. Except for the BsHSFB7 protein located in the cytoplasm, all other BsHSF proteins were found to be nuclear-localized. A comparison of the amino acid sequences indicates that all BsHSF proteins contain a conserved DNA-binding domain structure. Analysis of the promoter cis-acting elements also suggests that BsHSFs may be associated with heat stress and plant secondary metabolism. We further investigated the duplication events of BsHSF genes and their collinearity with genes from other Begonia species. Finally, through real-time quantitative PCR, we examined the expression patterns of the 37 BsHSFs in different plant tissues (roots, stems, leaves, and flowers) and their expression levels under heat stress treatment. The results show that, except for BsHSF29, all BsHSFs were expressed in various tissues, with varying expression levels across tissues. Except for BsHSF33 and BsHSF34, the expression levels of almost all BsHSF genes increased in response to heat treatment. In summary, these findings provide a better understanding of the role and regulatory mechanisms of HSFs in the heat stress response of B. semperflorens and lay the foundation for further exploration of the biological functions of BsHSFs in the stress responses of B. semperflorens.

1. Introduction

Begonia semperflorens (B. semperflorens) is a widely cultivated ornamental plant with a broad economic market [1]. It is popular due to its diverse flower colors, year-round blooming characteristics, and adaptability to the environment [2]. However, with the rise in global temperatures, its production and application are being challenged, which threatens its production and ornamental value [3]. Heat stress can disrupt its cellular homeostasis, affecting its photosynthesis, cell membrane integrity, and metabolic processes, ultimately impacting its growth and flowering [4]. To address this issue, it is crucial to understand the molecular mechanisms of its heat tolerance. Transcription factors, as the main regulators of gene networks, play a key role in regulating stress responses to various adverse environments [5].
The heat shock transcription (HSF) gene family is a key transcription factor family that responds to heat stress and plays an important role in thermotolerance [6,7,8]. Previous studies have indicated that HSF family genes contain several conserved domains [9]. There is a DNA-binding domain (DBD) at the terminus, which can recognize the promoter elements in heat-responsive genes. An adjacent oligomerization domain (OD or HR-A/B), primarily composed of hydrophobic heptapeptide repeats, has been found in all HSF family genes [10,11]. The number of HSF gene family members varies among different plants, with 19 in Rosa chinensis [12], 21 in Betula platyphylla [13], 49 in Salvia rosmarinus [14], and 24 in Ammopiptanthus mongolicus [15]. Overall, higher plants generally possess more HSF family genes than lower plants. This may be attributed to multiple whole-genome duplication (WGD) or whole-genome triplication (WGT) events in plants, especially in higher plants [16]. Members of the HSF gene family respond to a variety of stress conditions [17,18,19]. Previous research has shown that in maize [20], Hypericum perforatum [21], and Eucommia ulmoides [22], members of the HSF gene family exhibit robust responses to high-temperature stress. Therefore, studying the HSF gene family in B. semperflorens is of great significance.
In this study, we systematically identified 37 HSF genes from the genome of B. semperflorens and conducted a comprehensive analysis of this gene family using bioinformatics methods. Given that research on the HSF gene in Arabidopsis thaliana (A. thaliana) is relatively comprehensive, we constructed a phylogenetic tree using the HSF genes from A. thaliana and B. semperflorens to infer the functions of the HSF gene in B. semperflorens. We further explored the heat stress response of BsHSF genes and identified a set of candidate genes that potentially play roles in thermotolerance. These findings are crucial for determining the key regulatory factors of stress resistance in B. semperflorens. Our results contribute to a deeper understanding of the evolutionary relationships and functional characteristics of the B. semperflorens HSF gene family and provide valuable insights for future research on the roles of HSF proteins in stress responses and stress-resistant breeding programs.

2. Materials and Methods

2.1. Identification of Gene Family Members

The genome data of A. thaliana were obtained from the A. thaliana Genome Database TAIR (https://www.arabidopsis.org/, accessed on 1 April 2025) [23]. The protein sequences of the HSF family members of A. thaliana were used as seed sequences to perform a BLAST (2.13.0) alignment against the proteome file of B. semperflorens, with an E-value of 1 × 10−5. Sequences with homology greater than 50% were selected, and duplicates were removed to obtain the candidate sequences. Subsequently, the HMM model of HSF proteins (PF00447) was downloaded from the Pfam database [24], and hmmsearch from HMMER 3.0 [25] was used to screen the HSF protein members of B. semperflorens, with an E-value of 1 × 10−10, and the proteome file of B. semperflorens set as the protein database. The candidate protein members obtained by the two methods were compared, and the common sequences were selected while removing duplicates. Finally, the protein members were verified by their domain structure using the CD-search tool from NCBI(https://www.ncbi.nlm.nih.gov/cdd, accessed on 1 April 2025) [26], with an E-value of 1 × 10−5. Sequences containing at least one complete HSF_DNA-bind domain were selected. The resulting protein members were identified as the HSF protein family members of B. semperflorens.

2.2. Localization and Numbering of BsHSFs

Based on the genome annotation file and the identified BsHSF gene family members, only scaffolds containing BsHSF genes were selected for display due to the lack of chromosome data. The localization of BsHSF genes was visualized using TBtools v.2.069 [27], and they were numbered according to their order on the scaffolds.

2.3. Physicochemical Properties

The physicochemical properties of the 37 BsHSF sequences were analyzed using ExPASy (https://www.expasy.org/, accessed on 1 April 2025) [28]. The subcellular localization of the proteins was predicted using WoLF PSORT (https://wolfpsort.hgc.jp/?utm_source=chatgpt.com, accessed on 1 April 2025) [29].

2.4. Phylogenetic Tree Construction

The phylogenetic tree of HSF proteins from B. semperflorens and A. thaliana was constructed using MEGA-X 11.0 software [30]. Sequence alignment was performed using ClustalW, and the neighbor-joining method was employed for tree construction. The bootstrap method was used for testing, with the bootstrap value set to 1000, while other parameters were kept at their default settings. Additionally, an intraspecific phylogenetic tree for the HSF proteins of B. semperflorens was constructed using MEGA-X 11.0 software. Sequence alignment was performed using MUSCLE v5.1, and the neighbor-joining method was employed for tree construction. The bootstrap method was used for testing, with the bootstrap value set to 1000, while other parameters were kept at their default settings. The phylogenetic trees were visually enhanced using iTOL (https://itol.embl.de/, accessed on 1 April 2025) [31] and Adobe Illustrator 2022 software.

2.5. Collinearity Analysis

The genome file and gene annotation file of Begonia darthvaderiana (B. darthvaderiana) were downloaded from NCBI. The interspecific collinearity analysis between B. semperflorens and B. darthvaderiana was conducted using the One step MCScanX tool in TBtools-II v2.210 software. In addition, the intraspecific collinearity analysis of Begonia was performed using the One step MCScanX tool in TBtools-II v2.210 software. The images were then refined using Adobe Illustrator 2022 software.

2.6. Gene Structure Analysis

The annotation information of the BsHSF genes was extracted using TBtools-II v2.210. The gene structure analysis was conducted via the GSDS website (http://gsds.cbi.pku.edu.cn/, accessed on 1 April 2025) [32]. The images were then adjusted using Adobe Illustrator 2022 software.

2.7. Conserved Motif and Domain Analysis

The conserved motif analysis of the BsHSF protein was performed using the MEME online tool (https://meme-suite.org/meme/, accessed on 1 April 2025) [33], with the maximum number of motifs set to 10 and other settings kept as default. The conserved domain analysis was conducted using the NCBI website, with an E-value of 1 × 10−5. The analysis results of motifs and domains were visualized using TBtools-II v2.210 software.

2.8. Cis-Acting Element Analysis in the Promoter Region

The sequence of 2000 bp upstream of the BsHSF gene promoter was extracted using TBtools-II v2.210. The prediction of cis-acting elements in the promoter region was performed using the PlantCARE website (https://bioinformatics.psb.ugent.be/webtools/plantcare/html/, accessed on 2 April 2025) [34]. The prediction results were visualized using TBtools-II v2.210. The images were then refined using Adobe Illustrator 2022 software.

2.9. Plant Materials and Treatment

The required B. semperflorensSuper Olympia’ plants were cultivated at the College of Landscape Architecture and Art, Henan Agricultural University. The photoperiod was set at 12 h of light and 12 h of darkness, with a light intensity of 200 µmol/m2/s and a cultivation temperature of 25 °C. Plants were planted in sterile bottles and placed in a growth chamber. Healthy and uniformly sized B. semperflorens plants, aged 3 to 4 months and grown in sterile bottles, were selected for heat stress treatment. Tissues of roots, stems, leaves, and flowers (Figure 1) were collected before treatment for the detection of tissue-specific expression. Other cultivation conditions remained unchanged, while the cultivation temperature was set at 38 °C, slightly lower than its high-temperature semi-lethal temperature. Samples were collected from the treated plants at 0 h, 12 h, 24 h, 36 h, and 48 h after treatment. Each sample weighed 0.1 g and was placed into a 2 mL centrifuge tube, then quickly frozen in liquid nitrogen and stored in a −80 °C freezer for later use. Each treatment had three biological replicates, with each replicate randomly selecting different 9 B. semperflorens plants.

2.10. RNA Extraction and Real-Time Quantitative PCR Analysis

Total RNA was extracted from each tissue sample using the PureTotal RNA Extraction Kit (DP441) designed for polysaccharide–polyphenol plants. The RNA was then reverse-transcribed into cDNA using the HiScript III 1st Strand cDNA Synthesis Kit (Nanjing Vazyme Biotech Co., Ltd., Nanjing, China) with the gDNA Eraser. Primers for RT-qPCR were synthesized by Sangon Biotech, and all primer sequences are listed in Table S1. The Bs18s gene was used as the housekeeping gene [35]. The reaction system and program were configured according to the instructions of SYBR Premix Ex Taq™ II (TaKaRa BIO Inc., Beijing, China). The data were analyzed using the 2−ΔΔCT method. One-way analysis of variance (ANOVA) was performed using SPSS 22.0 software, followed by Duncan’s multiple comparison test. GraphPad Prism 10.0 [36] was used for the graphical representation of the data.

3. Results

3.1. Identification and Physicochemical Characterization of the BsHSF Gene Family

After removing redundant sequences, we identified 37 HSF genes from the B. semperflorens genome using bioinformatics methods. These genes were named BsHSF1 to BsHSF37 based on their genomic locations. Table 1 lists the detailed information, including the physicochemical properties of the 37 BsHSF proteins. The lengths of the BsHSF proteins range from 81 amino acids (BsHSF7) to 521 amino acids (BsHSF17), with molecular weights varying from 9.62 kDa (BsHSF7) to 57.48 kDa (BsHSF17). The theoretical isoelectric points (pI) range from 4.63 (BsHSF11) to 9.86 (BsHSF7). Notably, with the exception of BsHSF7, BsHSF15, BsHSF3, BsHSF25, BsHSF2, BsHSF32, and BsHSF33, all BsHSF proteins are classified as acidic (pI < 7). The average hydrophilicity value of the BsHSF proteins is negative, indicating that they are predominantly hydrophilic. Moreover, the average instability index of these proteins is 56.7 (above the threshold of 40), suggesting that they are likely to be unstable. Subcellular localization prediction shows that, except for BsHSF7, which is localized in the cytoplasm, all other BpHSF proteins are located in the nucleus.

3.2. Localization of BsHSF Genes

The localization analysis indicates that, despite the lack of chromosomal data, the distribution pattern of the 37 BsHSF genes is not uniform (Figure 2). Among the 71 scaffolds, only 22 contain BsHSF genes. The longest scaffold, ptg000035l, with a length of 24 MB, harbors only one BsHSF gene, BsHSF25. In contrast, three genes are found on scaffolds ptg000011l (19.7 MB), ptg000015l (6.7 MB), ptg000022l (6.5 MB), and ptg000036l (10.0 MB). Specifically, BsHSF6, BsHSF7, and BsHSF8 are located on ptg000011l; BsHSF11, BsHSF12, and BsHSF13 are on ptg000015l; BsHSF17, BsHSF18, and BsHSF19 are on ptg000022l; and BsHSF26, BsHSF27, and BsHSF28 are on ptg000036l.

3.3. Phylogenetic Analysis of BsHSF

A neighbor-joining phylogenetic tree was constructed to analyze the evolutionary relationships of HSF genes from B. semperflorens and Arabidopsis thaliana (Figure 3). This analysis included 61 protein sequences: 37 from B. semperflorens and 24 from Arabidopsis thaliana. Based on the classification system of the HSF protein family in the model plant Arabidopsis thaliana, the BpHSF genes were divided into three major groups corresponding to three subfamilies (A, B, and C). In B. semperflorens, subfamily A contains 20 BsHSF members, subfamily B contains 11 members, and subfamily C contains 6 members. In Arabidopsis thaliana, subfamily A contains 17 BsHSF members, subfamily B contains 5 members, and subfamily C contains 2 members. B. semperflorens has more members in each subfamily than Arabidopsis thaliana, with the greatest increase observed in subfamily C, where the number of members in B. semperflorens is three times that of Arabidopsis thaliana.

3.4. Protein Motifs and Gene Structure of BsHSF Genes

Analysis of gene structure and conserved motifs can provide deeper insights into gene function and evolution. Using the MEME tool, we identified 10 conserved motifs containing 20 to 50 amino acids in the BsHSF family, with variable distribution among different BsHSFs. The number of conserved motifs ranges from one to six, with BsHSF7 containing only one motif, while most BsHSFs contain 5–6 motifs (Figure 4). The differences in the number and distribution of motifs among family members suggest that different BsHSFs may have distinct biological functions. All BsHSF proteins contain Motif 1, indicating that Motif 1 is highly conserved in BsHSFs and may play an important role. Except for BsHSF7, all BsHSF proteins contain Motif 2 and Motif 3, while Motif 8 is only present in members of subfamily B. Except for BsHSF13 and BsHSF31, which have three exons, all other BsHSFs have two exons. This indicates that the evolution of BsHSFs is more conservative compared to other species.

3.5. Analysis of Cis-Acting Elements in the Promoters of BsHSF Genes

Transcription factors play a crucial role in mediating plant responses to biotic and abiotic stresses by regulating various cis-regulatory elements in gene promoter sequences. To explore the potential biological functions and regulatory networks of BsHSF genes, we analyzed the cis-regulatory elements within the promoter regions of BsHSF genes (spanning 2000 bp upstream of the start codon) (Figure 5). A total of 598 cis-regulatory elements were identified in this analysis, with functional descriptions including abscisic acid responsiveness, anaerobic induction, auxin-responsive element, cell cycle regulation, circadian control, defense and stress responsiveness, differentiation of the palisade mesophyll cells, endosperm expression, flavonoid biosynthetic genes regulation, gibberellin-responsive element, low-temperature responsiveness, maximal elicitor-mediated activation, MeJA-responsiveness, meristem expression, the MYB binding site involved in drought-inducibility, phytochrome down-regulation expression, salicylic acid responsiveness, and zein metabolism regulation. Among these, the most abundant elements were abscisic acid responsiveness and MeJA-responsiveness, with 165 and 164 occurrences, respectively, indicating that BsHSFs may respond to abscisic acid and MeJA. The presence of other cis-acting elements also suggests that BsHSFs may be associated with abiotic stress responses and plant secondary metabolism.

3.6. Gene Duplication Events and Collinearity of BsHSF Genes

Gene duplication is crucial for the evolution of plant genomes. To identify duplication events of BsHSF genes, the gene pairs (GPs) were counted, and a homology analysis was conducted within the species (Figure 6A). The results show that 24 segmental duplications (SDs) occurred among the 34 BsHSF genes, with no tandem duplications detected. Only three BsHSF genes, namely, BsHSF22, BsHSF7, and BsHSF4, did not undergo SDs. The findings indicate that SDs play a key role in the expansion of BsHSF genes.
To better elucidate the evolutionary relationships of B. semperflorens, an interspecific collinearity map was constructed between B. semperflorens and its congener B. darthvaderiana (Figure 6B). It was found that 18 genes in B. darthvaderiana corresponded to 30 genes in B. semperflorens, with 47 gene pairs (GPs) identified between them, indicating strong collinearity. Moreover, most genes in B. darthvaderiana corresponded to more than one gene in B. semperflorens.

3.7. Expression Patterns of BsHSF Genes in Different Tissues

The expression of BsHSF genes in different tissues (root, stem, leaf, and flower) of B. semperflorens was detected using quantitative real-time PCR (Figure 7). Except for BsHSF29, which showed no detectable expression in root and leaf tissues, all other genes were expressed in each tissue. The expression levels of each gene varied among different tissues. In roots, higher expression levels were observed for BsHSF5, BsHSF20, BsHSF22, BsHSF30, BsHSF32, and BsHSF35. In stems, BsHSF7, BsHSF20, BsHSF30, BsHSF33, and BsHSF35 exhibited higher expression levels. In leaves, the expression levels of the genes varied greatly, with BsHSF30 showing a significantly higher expression than other genes. BsHSF1, BsHSF7, BsHSF10, BsHSF11, BsHSF12, BsHSF20, BsHSF30, and BsHSF33 also had relatively high expression levels. In flowers, higher expression levels were detected for BsHSF20, BsHSF22, BsHSF27, BsHSF30, and BsHSF33.

3.8. Expression Patterns of BsHSF Genes Under Heat Stress Treatment

To investigate the response patterns of B. semperflorens to heat stress, the expression of BsHSF genes after heat treatment was detected using quantitative real-time PCR (Figure 8). It was found that, overall, almost all BsHSF genes, except for BsHSF33 and BsHSF34, showed increased expression levels in response to heat treatment. The expression levels of BsHSF2, BsHSF3, BsHSF4, BsHSF19, BsHSF21, BsHSF23, BsHSF27, and BsHSF29 increased significantly in response to heat treatment. Notably, BsHSF29, which is almost undetectable or has extremely low expression under normal temperature conditions, showed an approximately 40,000-fold increase in expression after 48 h of heat treatment compared to 0 h. This indicates that BsHSF29 strongly responds to heat treatment and may be associated with plant thermotolerance.

4. Discussion

Begonia semperflorens is widely used for decorating various flower beds and squares due to its characteristic of blooming all year round. It has relatively strong resistance, with features of drought tolerance and high-temperature endurance [37]. Transcription factors play important regulatory roles in plant growth, development, and responses to stress, among which heat shock transcription factors are in a core position [8]. This study identified 37 HSF transcription factors, which is more than the number of HSF gene family members in Arabidopsis thaliana (21 genes), Oryza sativa (25 genes), Solanum lycopersicum (26 genes), Brassica oleracea (35 genes), and Brassica rapa (36 genes). Thus, we supposed that more HSF transcription factors may be related to the better heat tolerance of B. semperflorens. Higher plants have generated more members of the HSF gene family through multiple whole-genome duplication (WGD) or whole-genome triplication (WGT) events to adapt to high-temperature environments [38,39,40]. The distribution of these genes in the genome is not uniform, and the length of the segments is not correlated with the number of HSF genes distributed (Figure 2).
In angiosperms, the HSF gene family is divided into three subfamilies: A, B, and C (Figure 3). Based on gene structure and phylogenetic relationships, we classified the 37 BsHSF genes into subfamilies A, B, and C. Specifically, subfamily A contains 20 genes, subfamily B contains 11 genes, and subfamily C contains 6 genes. Although the total number is greater than that of the HSF gene family members in Arabidopsis, the main increase in members belongs to subfamilies B and C. The number of subfamily A members does not differ significantly. Such changes may also imply the functions of the HSF family genes in B. semperflorens. Most members of subfamily A have one or more AHA motifs at the C-terminus. These motifs act as transcriptional activators, functioning by binding to heat stress elements and playing a dominant role in the heat stress response [41,42,43,44,45]. Some members of subfamily B contain a tetrapeptide—LFGV—at their C-terminus, which may act as a repressive motif through interaction with an unknown co-repressor [46,47]. There is relatively less research on subfamily C. Studies on grass crops have found that there are multiple HSFC2 members in rice and wheat. For example, TaHSFC2a-B in wheat has been reported to act as a trans-activator of heat shock proteins, thereby positively regulating thermotolerance [48]. In lilies, LlHSFC2 is induced under heat shock conditions and exhibits the ability to repress the expression of heat protection genes. However, it can also interact with HSFAs, acting as a co-activator to activate their transcriptional activity and participate in the establishment of thermotolerance [49]. The increased number of subfamily C members in B. semperflorens may imply the existence of a unique heat stress resistance pathway.
Through amino acid sequence alignment analysis, it has been shown that all 37 BsHSF proteins contain the DNA-binding domain (DBD) conserved domain, which is consistent with studies in other plants. The structure of HSF family members is relatively conserved in plants, with most containing a DBD, an oligomeric domain (OD or HR-A/B, hydrophobic heptad repeat region), and a nuclear localization signal (NLS) [10]. In the analysis of the HSF promoter, a large number of ABA and MeJA response elements, as well as elements related to abiotic stress responses and plant secondary metabolism, were identified. Considering that transcription factors can exert transcriptional activation or repression by binding to cis-elements in the promoters of related genes, it is hypothesized that some functional genes may regulate gene expression by binding to certain cis-elements in the BsHSF promoters. This implies that BsHSFs may respond to ABA and MeJA and may be associated with abiotic stress responses and plant secondary metabolism. However, the mining of related genes and the specific regulatory mechanisms require further research in the future. Gene duplication and repetition play important roles in the evolution and expansion of gene families [50]. Studies have pointed out that the AhHSF gene family in peanuts has utilized gene duplication and repetition during the evolutionary process [51]. In B. semperflorens, a large number of homologous genes have been found in the HSF gene family, and compared with the HSF gene family members in the congener B. darthvaderiana, there has been an expansion. This indicates that there has been a significant amount of duplication and repetition of HSF genes in B. semperflorens, which may be related to the stronger resistance of B. semperflorens.
We can infer their primary regulatory regions by analyzing the expression patterns of the HSF gene family members in different tissues of B. semperflorens. We found that the member BsHSF30, which belongs to the C subfamily, is highly expressed in all tissues except flowers. This reveals that BsHSF30 may play a role in plant growth and development. This aligns with previous studies indicating that the HSFC1 subclass, which is unique to dicots, may be involved in the developmental processes of plants [10]. Members of the HSF gene family have also been reported to be associated with root development. The HSFB4 member of the B subfamily of the A. thaliana HSF gene family affects root development. HSFB4 is expressed in various tissues, with the highest expression level in roots. Overexpression of the HSFB4 gene in A. thaliana leads to rough root epidermis and promotes epidermal splitting, which, in turn, promotes the development of lateral roots [52]. Members of the B subfamily of the HSF gene family, including BsHSF32, BsHSF21, and BsHSF18, are highly expressed in roots. Among them, BsHSF21 is highly expressed only in roots, while BsHSF32 and BsHSF18 also have relatively high expression in stems and flowers. It is speculated that these three genes may be related to the root development of B. semperflorens. Except for BsHSF29, which was not detected in root and leaf tissues, all other genes were expressed in all tissues. We also detected and analyzed the expression patterns of BsHSFs in B. semperflorens after heat stress treatment. Almost all BsHSFs showed increased expression levels in response to heat stress, with several being particularly notable, including BsHSF2, BsHSF3, BsHSF4, BsHSF19, BsHSF21, BsHSF23, BsHSF27, and BsHSF29. They are all highly likely to be associated with the heat stress resistance of B. semperflorens. Notably, the expression level of BsHSF29 increased by approximately 40,000 times after 48 h of high-temperature treatment compared to 0 h. As previously mentioned, no expression of BsHSF29 was detected in root and leaf tissues, suggesting that it may be a gene specifically induced by heat stress treatment. In Solanum lycopersicum and A. thaliana, the expression of some HSF genes is also inducible. Under normal temperature conditions, they are almost not expressed or their expression levels are maintained at an extremely low level. High temperatures can cause a dramatic increase in their expression levels [18,53]. In evolutionary analysis, BsHSF29 clustered with Arabidopsis AT2G26150.1. Moreover, the overexpression of Arabidopsis AtHsfA2 (AT2G26150.1) can enhance the tolerance of Arabidopsis to high-temperature stress [54], implying that BsHSF29 is likely an important candidate gene for B. semperflorens to respond to high-temperature stress.
HSF is an important transcription factor that positively regulates the stress resistance of plants. In this study, based on bioinformatics analysis, we found that the expression levels of the BsHSF gene vary in different tissues and under heat stress, indicating that their functions in plants are not entirely the same. In the future, knockout and overexpression of the BsHSF gene are needed to further identify its molecular functions, which will provide new insights into the molecular regulatory pathways of the physiological mechanisms of B. semperflorens. Some members of the BsHSF gene family may be valuable candidate genes for the molecular breeding of B. semperflorens resistance.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/cimb47060398/s1.

Author Contributions

Conceptualization, Z.L.; data curation, Z.L.; formal analysis, Z.L.; funding acquisition, K.Z.; methodology, Z.L.; project administration, E.X.; supervision, E.X.; visualization, Z.L.; writing—original draft, Z.L.; writing—review and editing, Z.L., N.L., and Q.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China, grant number 32172622, and the College Students′ Innovative Entrepreneurial Training Plan Program, grant number 202310466014.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author(s).

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Tebbitt, M. Begonias: Cultivation, Natural History, and Identification; Timber Press: Portland, OR, USA, 2005. [Google Scholar]
  2. Lim, T. Begonia cucullata var. cucullata. In Edible Medicinal and Non-Medicinal Plants: Volume 7, Flowers; Springer: Dordrecht, The Netherlands, 2014; pp. 551–555. [Google Scholar]
  3. Qu, A.-L.; Ding, Y.-F.; Jiang, Q.; Zhu, C. Molecular mechanisms of the plant heat stress response. Biochem. Biophys. Res. Commun. 2013, 432, 203–207. [Google Scholar] [CrossRef] [PubMed]
  4. Hasanuzzaman, M.; Nahar, K.; Alam, M.M.; Roychowdhury, R.; Fujita, M. Physiological, biochemical, and molecular mechanisms of heat stress tolerance in plants. Int. J. Mol. Sci. 2013, 14, 9643–9684. [Google Scholar] [CrossRef]
  5. Koyama, T. Regulatory mechanisms of transcription factors in plant morphology and function. Int. J. Mol. Sci. 2023, 24, 7039. [Google Scholar] [CrossRef] [PubMed]
  6. Ohama, N.; Kusakabe, K.; Mizoi, J.; Zhao, H.; Kidokoro, S.; Koizumi, S.; Takahashi, F.; Ishida, T.; Yanagisawa, S.; Shinozaki, K. The transcriptional cascade in the heat stress response of Arabidopsis is strictly regulated at the level of transcription factor expression. Plant Cell 2016, 28, 181–201. [Google Scholar] [CrossRef]
  7. Panchuk, I.I.; Volkov, R.A.; Schöffl, F. Heat stress- and heat shock transcription factor-dependent expression and activity of ascorbate peroxidase in Arabidopsis. Plant Physiol. 2002, 129, 838–853. [Google Scholar] [CrossRef]
  8. Guo, M.; Liu, J.-H.; Ma, X.; Luo, D.-X.; Gong, Z.-H.; Lu, M.-H. The plant heat stress transcription factors (HSFs): Structure, regulation, and function in response to abiotic stresses. Front. Plant Sci. 2016, 7, 114. [Google Scholar] [CrossRef]
  9. Song, X.; Liu, G.; Duan, W.; Liu, T.; Huang, Z.; Ren, J.; Li, Y.; Hou, X. Genome-wide identification, classification and expression analysis of the heat shock transcription factor family in Chinese cabbage. Mol. Genet. Genom. 2014, 289, 541–551. [Google Scholar] [CrossRef] [PubMed]
  10. Scharf, K.-D.; Berberich, T.; Ebersberger, I.; Nover, L. The plant heat stress transcription factor (Hsf) family: Structure, function and evolution. Biochim. Biophys. Acta (BBA)-Gene Regul. Mech. 2012, 1819, 104–119. [Google Scholar] [CrossRef]
  11. Li, W.; Wan, X.-L.; Yu, J.-Y.; Wang, K.-L.; Zhang, J. Genome-wide identification, classification, and expression analysis of the Hsf gene family in carnation (Dianthus caryophyllus). Int. J. Mol. Sci. 2019, 20, 5233. [Google Scholar] [CrossRef]
  12. Kang, Y.; Sun, P.; Yang, Y.; Li, M.; Wang, H.; Sun, X.; Jin, W. Genome-Wide Analysis of the Hsf Gene Family in Rosa chinensis and RcHsf17 Function in Thermotolerance. Int. J. Mol. Sci. 2025, 26, 287. [Google Scholar] [CrossRef]
  13. Guo, S.; Chen, H.; Wu, H.; Xu, Z.; Yang, H.; Lin, Q.; Feng, H.; Zeng, Z.; Wang, S.; Liu, H.; et al. Genome-Wide Characterization of the Heat Shock Transcription Factor Gene Family in Betula platyphylla Reveals Promising Candidates for Heat Tolerance. Int. J. Mol. Sci. 2025, 26, 172. [Google Scholar] [CrossRef] [PubMed]
  14. Cui, W.; Xu, Z.; Kong, Y.; Yang, L.; Dou, H.; Zhang, D.; Li, M.; Chen, Y.; Ding, S.; Yang, C.; et al. Genome-Wide Identification of the Heat Shock Transcription Factor Gene Family in Rosemary (Salvia rosmarinus). Horticulturae 2024, 10, 1250. [Google Scholar] [CrossRef]
  15. Zhao, S.; Qing, J.; Yang, Z.; Tian, T.; Yan, Y.; Li, H.; Bai, Y.E. Genome-Wide Identification and Expression Analysis of the HSF Gene Family in Ammopiptanthus mongolicus. Curr. Issues Mol. Biol. 2024, 46, 11375–11393. [Google Scholar] [CrossRef]
  16. Yu, T.; Bai, Y.; Liu, Z.; Wang, Z.; Yang, Q.; Wu, T.; Feng, S.; Zhang, Y.; Shen, S.; Li, Q. Large-scale analyses of heat shock transcription factors and database construction based on whole-genome genes in horticultural and representative plants. Hortic. Res. 2022, 9, uhac035. [Google Scholar] [CrossRef]
  17. Huang, Y.-C.; Niu, C.-Y.; Yang, C.-R.; Jinn, T.-L. The heat stress factor HSFA6b connects ABA signaling and ABA-mediated heat responses. Plant Physiol. 2016, 172, 1182–1199. [Google Scholar] [CrossRef] [PubMed]
  18. Nishizawa, A.; Yabuta, Y.; Yoshida, E.; Maruta, T.; Yoshimura, K.; Shigeoka, S. Arabidopsis heat shock transcription factor A2 as a key regulator in response to several types of environmental stress. Plant J. 2006, 48, 535–547. [Google Scholar] [CrossRef]
  19. Guo, M.; Lu, J.-P.; Zhai, Y.-F.; Chai, W.-G.; Gong, Z.-H.; Lu, M.-H. Genome-wide analysis, expression profile of heat shock factor gene family (CaHsfs) and characterisation of CaHsfA2 in pepper (Capsicum annuum L.). BMC Plant Biol. 2015, 15, 151. [Google Scholar] [CrossRef]
  20. Jiang, L.; Hu, W.; Qian, Y.; Ren, Q.; Zhang, J. Genome-wide identification, classification and expression analysis of the Hsf and Hsp70 gene families in maize. Gene 2021, 770, 145348. [Google Scholar] [CrossRef]
  21. Zhou, L.; Yu, X.; Wang, D.; Li, L.; Zhou, W.; Zhang, Q.; Wang, X.; Ye, S.; Wang, Z. Genome-wide identification, classification and expression profile analysis of the HSF gene family in Hypericum perforatum. PeerJ 2021, 9, e11345. [Google Scholar] [CrossRef]
  22. Shujuan, W.; Feng, X.; Guangan, W.; Chen, W. Identification of HSF Gene Family in Eucommia ulmoides and Its Expression Analysis under Adverse Stresses. J. Henan Agric. Sci. 2024, 53, 46–56. [Google Scholar] [CrossRef]
  23. Swarbreck, D.; Wilks, C.; Lamesch, P.; Berardini, T.Z.; Garcia-Hernandez, M.; Foerster, H.; Li, D.; Meyer, T.; Muller, R.; Ploetz, L. The Arabidopsis Information Resource (TAIR): Gene structure and function annotation. Nucleic Acids Res. 2007, 36, D1009–D1014. [Google Scholar] [CrossRef] [PubMed]
  24. Mistry, J.; Chuguransky, S.; Williams, L.; Qureshi, M.; Salazar, G.A.; Sonnhammer, E.L.; Tosatto, S.C.; Paladin, L.; Raj, S.; Richardson, L.J. Pfam: The protein families database in 2021. Nucleic Acids Res. 2021, 49, D412–D419. [Google Scholar] [CrossRef] [PubMed]
  25. Finn, R.D.; Clements, J.; Eddy, S.R. HMMER web server: Interactive sequence similarity searching. Nucleic Acids Res. 2011, 39, W29–W37. [Google Scholar] [CrossRef] [PubMed]
  26. Marchler-Bauer, A.; Bryant, S.H. CD-Search: Protein domain annotations on the fly. Nucleic Acids Res. 2004, 32, W327–W331. [Google Scholar] [CrossRef] [PubMed]
  27. Chen, C.; Wu, Y.; Li, J.; Wang, X.; Zeng, Z.; Xu, J.; Liu, Y.; Feng, J.; Chen, H.; He, Y. TBtools-II: A “one for all, all for one” bioinformatics platform for biological big-data mining. Mol. Plant 2023, 16, 1733–1742. [Google Scholar] [CrossRef]
  28. Artimo, P.; Jonnalagedda, M.; Arnold, K.; Baratin, D.; Csardi, G.; De Castro, E.; Duvaud, S.; Flegel, V.; Fortier, A.; Gasteiger, E. ExPASy: SIB bioinformatics resource portal. Nucleic Acids Res. 2012, 40, W597–W603. [Google Scholar] [CrossRef]
  29. Horton, P.; Park, K.-J.; Obayashi, T.; Fujita, N.; Harada, H.; Adams-Collier, C.; Nakai, K. WoLF PSORT: Protein localization predictor. Nucleic Acids Res. 2007, 35, W585–W587. [Google Scholar] [CrossRef]
  30. Kumar, S.; Stecher, G.; Li, M.; Knyaz, C.; Tamura, K. MEGA X: Molecular evolutionary genetics analysis across computing platforms. Mol. Biol. Evol. 2018, 35, 1547–1549. [Google Scholar] [CrossRef]
  31. Letunic, I.; Bork, P. Interactive Tree Of Life (iTOL) v5: An online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 2021, 49, W293–W296. [Google Scholar] [CrossRef]
  32. Hu, B.; Jin, J.; Guo, A.-Y.; Zhang, H.; Luo, J.; Gao, G. GSDS 2.0: An upgraded gene feature visualization server. Bioinformatics 2015, 31, 1296–1297. [Google Scholar] [CrossRef]
  33. Bailey, T.L.; Johnson, J.; Grant, C.E.; Noble, W.S. The MEME suite. Nucleic Acids Res. 2015, 43, W39–W49. [Google Scholar] [CrossRef] [PubMed]
  34. Lescot, M.; Déhais, P.; Thijs, G.; Marchal, K.; Moreau, Y.; Van de Peer, Y.; Rouzé, P.; Rombauts, S. 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]
  35. Li, Y.; Qu, Y.; Wang, Y.; Bai, X.; Tian, G.; Liu, Z.; Li, Y.; Zhang, K. Selection of suitable reference genes for qRT-PCR analysis of Begonia semperflorens under stress conditions. Mol. Biol. Rep. 2019, 46, 6027–6037. [Google Scholar] [CrossRef] [PubMed]
  36. Swift, M.L. GraphPad prism, data analysis, and scientific graphing. J. Chem. Inf. Comput. Sci. 1997, 37, 411–412. [Google Scholar] [CrossRef]
  37. Zhao, Z.; Liu, A.; Zhang, Y.; Yang, X.; Yang, S.; Zhao, K. Effects of Progressive Drought Stress on the Growth, Ornamental Values, and Physiological Properties of Begonia semperflorens. Horticulturae 2024, 10, 405. [Google Scholar] [CrossRef]
  38. Sankoff, D.; Zheng, C. Whole genome duplication in plants: Implications for evolutionary analysis. In Comparative Genomics: Methods and Protocols; Humana Press: New York, NY, USA, 2018; pp. 291–315. [Google Scholar]
  39. Godfree, R.C.; Marshall, D.J.; Young, A.G.; Miller, C.H.; Mathews, S. Empirical evidence of fixed and homeostatic patterns of polyploid advantage in a keystone grass exposed to drought and heat stress. R. Soc. Open Sci. 2017, 4, 170934. [Google Scholar] [CrossRef] [PubMed]
  40. Song, X.; Nie, F.; Chen, W.; Ma, X.; Gong, K.; Yang, Q.; Wang, J.; Li, N.; Sun, P.; Pei, Q. Coriander Genomics Database: A genomic, transcriptomic, and metabolic database for coriander. Hortic. Res. 2020, 7, 55. [Google Scholar] [CrossRef]
  41. Kotak, S.; Port, M.; Ganguli, A.; Bicker, F.; Von Koskull-Döring, P. Characterization of C-terminal domains of Arabidopsis heat stress transcription factors (Hsfs) and identification of a new signature combination of plant class A Hsfs with AHA and NES motifs essential for activator function and intracellular localization. Plant J. 2004, 39, 98–112. [Google Scholar] [CrossRef] [PubMed]
  42. Zhang, L.; Li, Y.; Xing, D.; Gao, C. Characterization of mitochondrial dynamics and subcellular localization of ROS reveal that HsfA2 alleviates oxidative damage caused by heat stress in Arabidopsis. J. Exp. Bot. 2009, 60, 2073–2091. [Google Scholar] [CrossRef]
  43. Liu, H.C.; Liao, H.T.; Charng, Y.Y. The role of class A1 heat shock factors (HSFA1s) in response to heat and other stresses in Arabidopsis. Plant Cell Environ. 2011, 34, 738–751. [Google Scholar] [CrossRef]
  44. Nishizawa-Yokoi, A.; Nosaka, R.; Hayashi, H.; Tainaka, H.; Maruta, T.; Tamoi, M.; Ikeda, M.; Ohme-Takagi, M.; Yoshimura, K.; Yabuta, Y. HsfA1d and HsfA1e involved in the transcriptional regulation of HsfA2 function as key regulators for the Hsf signaling network in response to environmental stress. Plant Cell Physiol. 2011, 52, 933–945. [Google Scholar] [CrossRef]
  45. Wu, Z.; Liang, J.; Wang, C.; Zhao, X.; Zhong, X.; Cao, X.; Li, G.; He, J.; Yi, M. Overexpression of lily HsfA3 s in Arabidopsis confers increased thermotolerance and salt sensitivity via alterations in proline catabolism. J. Exp. Bot. 2018, 69, 2005–2021. [Google Scholar] [CrossRef] [PubMed]
  46. Ikeda, M.; Ohme-Takagi, M. A novel group of transcriptional repressors in Arabidopsis. Plant Cell Physiol. 2009, 50, 970–975. [Google Scholar] [CrossRef] [PubMed]
  47. Ikeda, M.; Mitsuda, N.; Ohme-Takagi, M. Arabidopsis HsfB1 and HsfB2b act as repressors of the expression of heat-inducible Hsfs but positively regulate the acquired thermotolerance. Plant Physiol. 2011, 157, 1243–1254. [Google Scholar] [CrossRef] [PubMed]
  48. Hu, X.J.; Chen, D.; Lynne Mclntyre, C.; Fernanda Dreccer, M.; Zhang, Z.B.; Drenth, J.; Kalaipandian, S.; Chang, H.; Xue, G.P. Heat shock factor C2a serves as a proactive mechanism for heat protection in developing grains in wheat via an ABA-mediated regulatory pathway. Plant Cell Environ. 2018, 41, 79–98. [Google Scholar] [CrossRef] [PubMed]
  49. Wu, Z.; Li, T.; Ding, L.; Wang, C.; Teng, R.; Xu, S.; Cao, X.; Teng, N. Lily LlHSFC2 coordinates with HSFAs to balance heat stress response and improve thermotolerance. New Phytol. 2024, 241, 2124–2142. [Google Scholar] [CrossRef]
  50. Bai, Y.; Meng, Y.; Huang, D.; Qi, Y.; Chen, M. Origin and evolutionary analysis of the plant-specific TIFY transcription factor family. Genomics 2011, 98, 128–136. [Google Scholar] [CrossRef]
  51. Wang, Q.; Zhang, Z.; Guo, C.; Zhao, X.; Li, Z.; Mou, Y.; Sun, Q.; Wang, J.; Yuan, C.; Li, C. Hsf transcription factor gene family in peanut (Arachis hypogaea L.): Genome-wide characterization and expression analysis under drought and salt stresses. Front. Plant Sci. 2023, 14, 1214732. [Google Scholar] [CrossRef]
  52. Begum, T.; Reuter, R.; Schöffl, F. Overexpression of AtHsfB4 induces specific effects on root development of Arabidopsis. Mech. Dev. 2013, 130, 54–60. [Google Scholar] [CrossRef]
  53. Yu, H.-D.; Yang, X.-F.; Chen, S.-T.; Wang, Y.-T.; Li, J.-K.; Shen, Q.; Liu, X.-L.; Guo, F.-Q. Downregulation of chloroplast RPS1 negatively modulates nuclear heat-responsive expression of HsfA2 and its target genes in Arabidopsis. PLoS Genet. 2012, 8, e1002669. [Google Scholar] [CrossRef]
  54. Li, C.; Chen, Q.; Gao, X.; Qi, B.; Chen, N.; Xu, S.; Chen, J.; Wang, X. AtHsfA2 modulates expression of stress responsive genes and enhances tolerance to heat and oxidative stress in Arabidopsis. Sci. China Ser. C Life Sci. 2005, 48, 540–550. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Sampling tissues of B. semperflorens for quantitative real-time PCR.
Figure 1. Sampling tissues of B. semperflorens for quantitative real-time PCR.
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Figure 2. Localization of the BsHSF genes. Scale bars are in Mb, and scaffolds numbers are shown above the corresponding chromosomes.
Figure 2. Localization of the BsHSF genes. Scale bars are in Mb, and scaffolds numbers are shown above the corresponding chromosomes.
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Figure 3. Phylogenetic analysis of BsHSF genes was conducted using HSF sequences from B. semperflorens (BsHSF) and Arabidopsis thaliana (AT). As a result, different HSF classes are distinguished in various colors, each representing a distinct class.
Figure 3. Phylogenetic analysis of BsHSF genes was conducted using HSF sequences from B. semperflorens (BsHSF) and Arabidopsis thaliana (AT). As a result, different HSF classes are distinguished in various colors, each representing a distinct class.
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Figure 4. Gene structure and conserved motifs analysis of BsHSFs: phylogenetic relationship tree; conserved motifs of BsHSFs; SMART conserved HSF domain; gene structure of BsHSFs.
Figure 4. Gene structure and conserved motifs analysis of BsHSFs: phylogenetic relationship tree; conserved motifs of BsHSFs; SMART conserved HSF domain; gene structure of BsHSFs.
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Figure 5. The distribution of cis-regulating elements in the promoter region of the HSF gene in B. semperflorens. Each promoter is located at the 2000 bp upstream region of BsHSF gene. The colored blocks represent 18 kinds of cis-elements.
Figure 5. The distribution of cis-regulating elements in the promoter region of the HSF gene in B. semperflorens. Each promoter is located at the 2000 bp upstream region of BsHSF gene. The colored blocks represent 18 kinds of cis-elements.
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Figure 6. Collinearity of the HSF gene family in different species. (A) Collinearity of the HSF gene family in B. semperflorens; (B) Collinearity of the HSF gene family between B. semperflorens and B. darthvaderiana. The heatmaps and line plots illustrate the gene density within each chromosome. The grey curves in the background indicate all segmental duplications (SDs) within the B. semperflorens genome and between the genomes of B. semperflorens and B. darthvaderiana. The blue curves highlight the SDs involving HSF genes. Darker regions indicate a higher number of SDs and denser curves, while lighter regions indicate fewer SDs and sparser curves.
Figure 6. Collinearity of the HSF gene family in different species. (A) Collinearity of the HSF gene family in B. semperflorens; (B) Collinearity of the HSF gene family between B. semperflorens and B. darthvaderiana. The heatmaps and line plots illustrate the gene density within each chromosome. The grey curves in the background indicate all segmental duplications (SDs) within the B. semperflorens genome and between the genomes of B. semperflorens and B. darthvaderiana. The blue curves highlight the SDs involving HSF genes. Darker regions indicate a higher number of SDs and denser curves, while lighter regions indicate fewer SDs and sparser curves.
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Figure 7. qRT-PCR analysis of BsHSF genes in four different tissues.
Figure 7. qRT-PCR analysis of BsHSF genes in four different tissues.
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Figure 8. qRT-PCR analysis of BsHSF genes under heat stress. Different lowercase letters above the bars indicate statistically significant differences (p < 0.05) using one-way ANOVA.
Figure 8. qRT-PCR analysis of BsHSF genes under heat stress. Different lowercase letters above the bars indicate statistically significant differences (p < 0.05) using one-way ANOVA.
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Table 1. Physicochemical properties of proteins encoded by the 37 BsHSF genes in B. semperflorens.
Table 1. Physicochemical properties of proteins encoded by the 37 BsHSF genes in B. semperflorens.
RenameGene IDNumber of Amino AcidMolecular WeightTheoretical pIInstability IndexAliphatic IndexGrand Average of HydropathicitySubcellular Localization
BsHSF1g2919.t138544,307.255.3854.674.42−0.794Nuclear
BsHSF2g4110.t124628,643.147.6949.1566.59−0.985Nuclear
BsHSF3g6017.t124328,082.528.6254.7460.95−1.03Nuclear
BsHSF4g7033.t245852,759.415.1566.2368.76−0.689Nuclear
BsHSF5g7541.t137643,643.245.8450.7780.61−0.67Nuclear
BsHSF6g7952.t139044,297.315.4354.3473.74−0.794Nuclear
BsHSF7g9408.t1819621.979.8632.6368.64−0.56Cytoplasmic
BsHSF8g10132.t134639,200.814.858.4776.91−0.618Nuclear
BsHSF9g11656.t148053,724.095.3456.4774.92−0.614Nuclear
BsHSF10g11734.t131035,367.965.7661.0469.13−0.561Nuclear
BsHSF11g12866.t150856,333.34.6353.0367.15−0.726Nuclear
BsHSF12g12999.t132235,388.585.0559.6271.74−0.541Nuclear
BsHSF13g13272.t133039,491.625.9158.0165.55−0.898Nuclear
BsHSF14g13857.t133539,352.215.6153.6664−0.857Nuclear
BsHSF15g16136.t133137,427.538.855.0371.27−0.501Nuclear
BsHSF16g16542.t147453,737.315.2164.5170.97−0.826Nuclear
BsHSF17g17820.t152157,480.94.6663.4166.76−0.643Nuclear
BsHSF18g17877.t233336,687.074.9755.7578.47−0.504Nuclear
BsHSF19g17997.t131837,858.85.8164.2467.7−0.846Nuclear
BsHSF20g18359.t148054,441.755.8762.6373.52−0.752Nuclear
BsHSF21g23282.t133938,820.516.5355.1366.73−0.6Nuclear
BsHSF22g25236.t139945,983.144.7448.1475.04−0.584Nuclear
BsHSF23g25942.t134239,151.855.0268.570.41−0.714Nuclear
BsHSF24g26841.t134339,072.96.735573.03−0.549Nuclear
BsHSF25g29399.t133437,450.298.1459.3971.26−0.578Nuclear
BsHSF26g30373.t152057,020.55560.0267.87−0.594Nuclear
BsHSF27g31168.t133036,756.366.9455.8473.88−0.534Nuclear
BsHSF28g31755.t134440,447.325.4254.0964.88−0.872Nuclear
BsHSF29g33546.t133837,620.035.5249.3770.47−0.693Nuclear
BsHSF30g34334.t131235,559.17573.7968.4−0.546Nuclear
BsHSF31g36487.t134639,476.215.0256.1667.57−0.804Nuclear
BsHSF32g36767.t128131,424.197.5943.3861.42−0.829Nuclear
BsHSF33g38782.t143448,995.127.1162.0165.37−0.614Nuclear
BsHSF34g38809.t131836,390.195.6760.8968.71−0.559Nuclear
BsHSF35g39393.t127632,442.085.3658.6985.76−0.592Nuclear
BsHSF36g40203.t132637,186.686.4654.767.61−0.598Nuclear
BsHSF37g40444.t146451,457.675.5957.6569.29−0.486Nuclear
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Liu, Z.; Lin, N.; Wang, Q.; Xu, E.; Zhang, K. Genome-Wide Characterization of the Heat Shock Transcription Factor Gene Family in Begonia semperflorens Reveals Promising Candidates for Heat Tolerance. Curr. Issues Mol. Biol. 2025, 47, 398. https://doi.org/10.3390/cimb47060398

AMA Style

Liu Z, Lin N, Wang Q, Xu E, Zhang K. Genome-Wide Characterization of the Heat Shock Transcription Factor Gene Family in Begonia semperflorens Reveals Promising Candidates for Heat Tolerance. Current Issues in Molecular Biology. 2025; 47(6):398. https://doi.org/10.3390/cimb47060398

Chicago/Turabian Style

Liu, Zhirou, Nan Lin, Qirui Wang, Enkai Xu, and Kaiming Zhang. 2025. "Genome-Wide Characterization of the Heat Shock Transcription Factor Gene Family in Begonia semperflorens Reveals Promising Candidates for Heat Tolerance" Current Issues in Molecular Biology 47, no. 6: 398. https://doi.org/10.3390/cimb47060398

APA Style

Liu, Z., Lin, N., Wang, Q., Xu, E., & Zhang, K. (2025). Genome-Wide Characterization of the Heat Shock Transcription Factor Gene Family in Begonia semperflorens Reveals Promising Candidates for Heat Tolerance. Current Issues in Molecular Biology, 47(6), 398. https://doi.org/10.3390/cimb47060398

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