Next Article in Journal
Exploratory Single-Cell Transcriptomic Profiling Reveals Dysregulated Glial Populations and Pathways in Focal Cortical Dysplasia Epilepsy
Previous Article in Journal
Acute Exercise Fatigue Impairs Cognitive Control: Neurophysiological Mechanisms Revealed by ERP and ERSP Analyses
Previous Article in Special Issue
Epigenetics in Plant Response to Climate Change
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Histone Deacetylase BpHST1 Regulates Plant Architecture and Photosynthesis in Birch

1
State Key Laboratory of Tree Genetics and Breeding, College of Forestry, Northeast Forestry University, Harbin 150040, China
2
The Center for Basic Forestry Research, College of Forestry, Northeast Forestry University, Harbin 150040, China
*
Author to whom correspondence should be addressed.
Biology 2025, 14(12), 1689; https://doi.org/10.3390/biology14121689
Submission received: 1 November 2025 / Revised: 15 November 2025 / Accepted: 17 November 2025 / Published: 27 November 2025

Simple Summary

Epigenetic mechanisms significantly regulate the architecture of forest trees, enhancing their adaptability and resilience to climate change. This study investigated the histone deacetylase gene BpHST1 (Homologs of Sirtuins Two 1) as an epigenetic regulator in birch. BpHST1 expression was induced by light and enriched in leaves. Overexpression of BpHST1 produced shorter plants with reduced cell size and photosynthetic performance. Through integrated RNA sequencing (RNA-seq) and Chromatin Immunoprecipitation sequencing (ChIP-seq), we identified the photosynthesis gene BpLHCA2 (Light-Harvesting Complex A2) as a direct downstream target. These findings elucidate an epigenetic growth-regulation module in birch, providing a basis for breeding improved plant architecture.

Abstract

(1) Background: Epigenetic mechanisms play a significant role in plant architecture. Histone deacetylases, as crucial epigenetic regulators, shape plant architecture by modifying chromatin structure and regulating gene expression. (2) Methods: This study combined bioinformatic identification of BpHST1 with its functional characterization in transgenic birch overexpressing 35S::BpHST1::FLAG, including phenotypic and cytological analyses. The putative direct targets of BpHST1 were further identified by integrating RNA-seq and ChIP-seq data. (3) Results: Phylogenetic analysis revealed that the HST1 orthologs from birch and peach form a distinct clade, consistent with their high degree of protein sequence conservation. BpHST1 exhibited light-inducible and leaf-preferential expression, with transcript levels elevated under light versus dark conditions, enriched in leaves relative to roots, and promoter activity confirming this spatial patterning. Overexpression of BpHST1 significantly suppressed plant height, cell length, cell width, and photosynthetic capacity. Integrated RNA-seq and ChIP-seq analysis suggested that BpLHCA2 possible functions as a direct downstream target of BpHST1, mediating plant growth and development. (4) Conclusions: Our findings delineated the role of BpHST1 in regulating plant architecture through comprehensive expression and functional analyses, and identified a candidate target gene. This study provided a novel insight into the molecular mechanisms governing plant architecture and offers potential strategies for future epigenetic breeding.

1. Introduction

Epigenetic modifications serve as indispensable regulators of plant growth, development, and environmental adaptation [1,2]. Functioning as a master switch, they dynamically modulate chromatin architecture to fine-tune gene expression within complex regulatory networks [3,4,5]. For example, histone deacetylation plays a critical role in developmental processes: recent studies demonstrated that acetylation of Smc3 modulates chromatin stability through its ability to stabilize the cohesin regulator Pds5, thereby ensuring precise control of chromatin organization [6]. Similarly, in Arabidopsis, HDA6 and HDA19 participate in abscisic acid (ABA), jasmonic acid (JA), and ethylene signaling pathways, enabling adaptive responses to environmental changes [7,8,9,10]. Furthermore, loss of HDA18 function disrupts root epidermal patterning, underscoring the importance of histone deacetylases in cellular differentiation and organogenesis [8,11,12]. These epigenetic mechanisms collectively underpin plant phenotypic plasticity throughout development and in response to environmental cues, influencing processes such as seed development, flowering, fruit maturation, and biotic and abiotic stress responses [13,14,15,16,17]. However, research on the epigenetic regulation of plant architecture remains limited and has predominantly focused on model crops such as rice and Arabidopsis [18,19,20].
Forests are under increasing pressure from global environmental change [21]. Although reforestation and afforestation efforts in tropical, temperate, and boreal regions help mitigate climate change via carbon sequestration, growing evidence indicates that epigenetic variation enhances phenotypic plasticity and adaptive capacity in long-lived trees [22]. Given rapid climate change, forest epigenetics provides promising pathways for biotechnology and breeding, facilitating the selection of adaptive traits to bolster ecosystem resilience and sustainable management [23,24]. Therefore, epigenetic applications in woody plants warrant further extensive exploration.
Plant architecture plays a critical role in determining the efficiency of resource acquisition, such as light, water, and nutrients, by individual plants and populations, factors that directly influence yield formation [25]. Current research on plant architecture remains predominantly focused on major crops like rice [26], wheat [27], maize [28], and soybean [29], with the goal of boosting yield through architectural manipulation. In forest trees, architecture is governed by a complex regulatory network formed by the interplay among genetic, environmental, and hormonal factors. This network integrates hormonal pathways (e.g., GA, BR, auxin), transcription factors (including WRKY and NAC), and specific regulators (such as TAC1, LAZY1, and WEEP) to translate genetic programs and environmental signals into morphological outcomes [30].
White birch (Betula platyphylla Suk.) is an ecologically vital pioneer species that has been the subject of relatively limited molecular research, with existing studies focusing primarily on stress tolerance [31,32]. We focus on further exploring how epigenetics plays a role in plant architecture regulation. Previous studies have confirmed that HST1 (Homologs of Sirtuins Two 1) is an NAD-dependent deacetylase gene that affects changes in plant architecture, but the specific molecular regulatory mechanism remains unclear [33,34,35]. Our results demonstrated that BpHST1 regulates the expression of the light-harvesting gene BpLHCA2 (Light-Harvesting Complex A2) by influencing photosynthetic light capture capacity, ultimately affecting growth and development in birch. This study established a foundational framework for exploring the epigenetic mechanisms underlying plant architecture in trees.

2. Materials and Methods

2.1. Plant Materials and Cultivation

Birch seedlings were grown for four months in a controlled environment (22 °C, 16-h light/8-h dark). Tender leaves from two-month-old plants were harvested, snap-frozen in liquid nitrogen, and stored at −80 °C. Three biologically independent replicates were analyzed for both RNA-seq and ChIP-seq, ensuring robust and reproducible data.

2.2. Identification and Analysis of BpHST1 Gene in Birch

We performed the phylogeny of HST1 using the maximum likelihood method in MEGA and aligned the closely related peach and birch orthologs to evaluate their sequence conservation [36]. The exon-intron structure of the gene was analyzed with the Gene Structure Display Server [37]. For the cis-element analysis, a 2122 bp genomic sequence upstream of the transcription start site of BpHST1 was defined as the promoter region. Putative cis-regulatory elements within this promoter were predicted using PlantCARE and visualized with TBtools -II (version 2.3.63) [38]. Protein structure prediction was conducted using the AlphaFold Server 3 [39].

2.3. Total RNA Extraction

Total RNA was isolated from the samples using the RNAeasy Kit (Cwbio, Taizhou, China). RNA integrity and purity were verified by spectrophotometry (A260/A280 ratio: 1.9–2.1). Subsequently, first-strand cDNA was synthesized from the qualified RNA templates using the PrimeScript RT Reagent Kit (Takara, Tokyo, Japan), followed by quantitative real-time PCR (qRT-PCR) analysis.

2.4. qRT-PCR

qRT-PCR assays were conducted using the UltraSYBR One Step mix (CWBIO, Beijing, China) with gene-specific primers (Supplementary Table S1). Amplification and detection were performed on a QuantStudioTM 3 Real-Time PCR System (Applied Biosystems, Carlsbad, CA, USA). The Tubulin gene served as an internal reference for normalizing transcript levels, and the relative expression of each target gene was determined using the 2−ΔΔCt method [40].

2.5. Plasmid Construction and Plant Transformation

We ligated the BpHST1 CDS (Coding DNA Sequence) amplified from DL-1 to the pCAMBIA1305.1-FlAG vector. We ligated the DL-1-amplified BpHST1 promoter sequence to the pCAMBIA1301-LUC vector. Primers are shown in Supplementary Table S1. Positive lines were obtained through Agrobacterium-mediated embryonic transformation of mature birch zygotic embryo [41].

2.6. Scanning Electron Microscope

Sample preparation was performed as follows: young stem segments (<1 cm long) were fixed in 2.5% glutaraldehyde. Following fixation, samples were dehydrated through an ascending tert-butanol series (30%, 50%, 70%, 90%, and 100%), with 15 min per step. After dehydration, samples were solidified at 4 °C for 30 min and vacuum-dried. Finally, the dried specimens were mounted on conductive stubs, sputter-coated with gold, and observed for cellular morphology.

2.7. Photosynthetic Gas Exchange Measurements

Photosynthetic gas exchange was assessed with a Li-6800 portable system (LI-COR, Bourne, MA, USA) fitted with a 6800-01A chamber. Measurements were taken under set conditions: 400 ± 10 µmol mol−1 CO2, 1200 µmol m−2·s−1 PPFD, and 40% relative humidity. The mid-lamina portion of leaves from healthy, uniform plants was sealed in the chamber, and data were recorded upon stabilization.

2.8. RNA-Seq

RNA-seq was conducted on young leaves of two-month-old DL-1 and 35S::BpHST1::FLAG lines with three biological replicates each. From the nine total RNA samples, high-quality libraries were prepared and sequenced via Illumina NovaSeq 6000 (Illumina, San Diego, CA, USA). We mapped the clean reads to the birch reference genome via the Hisat2 plugin in TBtools and applied FPKM-based quantification to identify differentially expressed genes (FDR < 0.01, |log2FC| ≥ 1) [38].

2.9. ChIP-Seq

ChIP was conducted using young leaves from two-month-old DL-1 and 35S::BpHST1::FLAG seedlings, following an established method with adjustments [42]. Immunoprecipitation employed 10 μg of anti-FLAG antibody per reaction. After capturing immune complexes, DNA was purified through washing, elution, and reverse cross-linking, and the resulting samples were used for library construction and sequencing at Novogene (Beijing, China).

3. Results

3.1. Identified and Expressed of BpHST1 in Birch

The histone deacetylase HST1 contains a conserved deacetylase-like domain and has been functionally characterized in species such as rice, Arabidopsis, and wheat. The consistent correlation between gene structures and phylogenetic clustering strongly supports the reliability of the current classification system for these genes. This integrated structural and evolutionary analysis provides important insights into the identification of HST1 in birch (Figure 1a). The HST1 orthologs from birch and peach clustered within the same phylogenetic clade, consistent with their high degree of protein sequence identity (Figure 1b). Promoter analysis of BpHST1 revealed multiple cis-regulatory elements, indicating potential regulation by abscisic acid (ABRE), drought (MBS), and light (G-box) signals (Figure S1a). Furthermore, tertiary structure prediction of the BpHST1 protein showed a combination of α-helices and random coils, suggesting the potential for independently functional domains (Figure S1b). To assess the light responsiveness of BpHST1, we analyzed its expression in birch seedlings under dark and light conditions. The results showed that BpHST1 was down-regulated in darkness and up-regulated in light (Figure 1c). Tissue-specific expression analysis further indicated pronounced accumulation of BpHST1 transcripts in leaves, with minimal expression in roots (Figure 1d). The strong leaf-specific activity of the BpHST1 promoter was confirmed by dual-luciferase reporter assays in birch (Figure 1e, Figure S1c).

3.2. Overexpression of BpHST1 Inhibited the Growth and Development in Birch

To confirm the growth-regulatory function of BpHST1, we produced stable transgenic lines overexpressing a 35S::BpHST1-FLAG construct (Figure S2a). Quantitative analysis confirmed strong overexpression in multiple lines (Figure 2a). Phenotypic assessment of two independent lines (35S::BpHST1::FLAG12 and 35S::BpHST1::FLAG19) revealed that plant height was significantly reduced compared to the DL-1 (p < 0.05), whereas no significant differences were observed in primary branch number and branch angle (Figure 2b–e). To elucidate the cellular mechanism underlying the height reduction, we conducted a histological examination of stem tissues (Figure 2f). The analysis showed that cells in the transgenic lines exhibited a significant decrease in both length and width relative to DL-1 cells (Figure 2g,h). We further investigated the impact of BpHST1 overexpression on photosynthesis, which revealed that the 35S::BpHST1::FLAG12 line had significantly lower net photosynthetic rate, transpiration rate, and stomatal conductance than DL-1 (Figure 2i, Figure S2b,c). In addition, we found the 35S:BpHST1::FLAG12 line, BpHST1 also impaired PSII function, marked by decreased Fv/Fm and ΦPSII, and concurrently elevated NPQ for photoprotection. The 35S:BpHST1::FLAG19 line exhibited no significant differences from wild-type DL-1, a result that is likely attributable to the comparatively lower level of transgene overexpression in this line (Figure S2d–f). Collectively, these results demonstrated that BpHST1 overexpression suppresses plant height and overall growth in birch.

3.3. Overexpression of BpHST1 Compromised Light Harvesting Capacity

To investigate the mechanism of BpHST1, we subsequently performed transcriptome sequencing (RNA-seq) from the leaves of 2-month-old DL-1 and the BpHST1 transgenic line 35S::BpHST1::FLAG12. Principal component analysis (PCA) of the RNA-seq data showed clear separation between DL-1 and transgenic samples. The data points exhibited distinct intra-group clustering, indicating high reproducibility among biological replicates (Figure 3a). Based on the criteria of expression absolute log2 fold change ≥ 1 and adjusted p < 0.01 [43], we identified 1610 significantly upregulated genes and 1364 significantly down regulated genes in 35S::BpHST1::FLAG12 compared to DL-1 (Figure 3b). We identified Gene Ontology (GO) term enrichment analysis of 1364 DEGs was enriched in defense response (p < 0.001, GO:0006952), response to stimulus (p < 0.001, GO:0050896), mitochondrial mRNA processing (p < 0.001, GO:0090615), photosynthesis, light harvesting in photosystem I (p < 0.001, GO:0009768), obsolete water homeostasis (p < 0.001, GO:0030104), mitochondrial RNA processing (p < 0.001, GO:0000963) (Figure 3c). Based on the findings that BpHST1 is light-responsive and influences photosynthesis (Figure 1c, Figure 2i), we directed our attention to the photosynthesis, light harvesting in photosystem l (GO:0009768). Next, we compared the transcript levels of photosynthetic genes. The results indicated that the expression of photosystem-related genes was significantly downregulated in the transgenic lines compared to DL-1 (Figure 3d–j). Collectively, these findings suggest that BpHST1 negatively regulates plant height and growth in birch, likely by repressing photosynthetic gene expression and thereby limiting photosynthetic capacity.

3.4. BpHST1 Binds to the Promoter of BpLHCA2 and Represses the Expression of Its Downstream Genes

To define the genome-wide binding site of BpHST1, we conducted ChIP-seq using a FLAG-tagged BpHST1 transgenic line and focused on genomic regions with significant binding peaks that overlapped with down-regulated genes (Figure 4a, p < 0.01). The DNA binding site of BpHST1 is dominated by transposable elements, implicating its primary role in epigenetic silencing. Binding events at gene promoters further suggested a capacity for direct transcriptional regulation (Figure 4b). To elucidate the DNA-binding specificity of the BpHST1 protein, we performed motif analysis. The identification of distinct sequence motifs indicated that BpHST1 recognizes specific DNA patterns to regulate diverse downstream genes, thereby participating in complex biological processes (Figure 4d and Figure S3). IGV showed no significant changes in the repeatable peaks of 35S::BpHST1::FLAG ChIP-seq and RNA-seq of other genes in photosystem I (Figure S3). Binding motifs for BpHST1 were identified in the promoters of BpLHCA2 and BpPSAO. Accordingly, IGV visualization demonstrated a strong correlation between BpHST1::FLAG enrichment (ChIP-seq) and transcriptional repression (RNA-seq) at these loci, supporting their direct regulation by BpHST1. Protein-DNA docking predictions via AlphaFold Server 3 suggested that BpHST1 binds the BpLHCA2 promoter through specific hydrogen bonds, indicating potential for direct physical interaction. This result supports the theory in which BpHST1 exerts its function through possible binding to the BpLHCA2 promoter, thereby mediating transcriptional repression (Figure S4). Based on these findings, we proposed that BpLHCA2 functions as a direct downstream target of BpHST1, mediating its regulation of plant growth and development.

4. Discussion

4.1. BpHST1 Acted as a Downstream Effector of Light Signaling in Birch

BpHST1 expression was light-responsive, a property potentially linked to light-regulatory cis-elements in its promoter (Figure S1a), with transcript levels decreasing in darkness and increasing under light (Figure 1c). Interestingly, this result is consistent with the expression pattern of the HST1 gene in Arabidopsis thaliana, which is highly expressed under light conditions [44]. This might be due to both birch and Arabidopsis being dicotyledon plants. In contrast, in rice, as a monocot plant, the HST1 gene exhibits low expression under light and high expression in darkness [45]. Despite these divergent expression patterns, HST1 homologs both mediate light signal responses, reflecting functional conservation of the gene. The functional and evolutionary divergence of HST1 between monocot and dicot plants requires further investigation.

4.2. BpHST1 Mediated Repression of Light-Harvesting Gene BpLHCA2

Integrated RNA-seq and ChIP-seq analyses demonstrated that BpHST1 overexpression downregulates the PSI light-harvesting pathway and directly targets BpLHCA2. As one of the core subunits of the light-harvesting chlorophyll a/b complex I (LHCI) associated with photosystem I (PSI), LHCA2 is widely present in photosynthetic organisms such as green algae, mosses, and higher plants [46]. Its core functions encompass participating in light energy absorption, transfer, and the regulation of photosynthetic electron flow, making it a critical component that links the light reaction to energy conversion in the photosynthetic system [47]. Specifically in higher plants, LHCA2 is involved in the assembly of the PSI-LHCII complex, where the phosphorylation site at its N-terminus serves as a key determinant for LHCII binding during state transitions [48]. Furthermore, by binding to chlorophylls, LHCA2 expands the light absorption range of the photosynthetic system, efficiently transfers the captured light energy to the PSI reaction center, and optimizes energy utilization under low-light conditions [49]. Collectively, these characteristics highlight that LHCA2 plays crucial functional and applicative roles in the regulation of photosynthetic efficiency in higher plants [34,50]. The transgenic lines also exhibited reduced photosynthetic rates and stomatal conductance, indicating additional effects on electron transport (Figure 3c and Figure 4c). The importance of this pathway for plant architecture is further supported by findings in rice, where mutation of OsPS1-F (Oryza sativa PHOTOSYSTEM 1-F) caused significant developmental defects, including altered plant height and tiller number [51]. Collectively, this study provided new evidence for an “epigenetic–photosynthesis–growth” regulatory network and highlight a potential target for epigenetic breeding in forest trees.

4.3. The Recruitment Mechanism of BpHST1

Our study reveals that BpHST1, a class of histone deacetylase, likely influences plant architecture and represses downstream gene expression by modulating histone modifications (Figure 1a, Figure 2b and Figure 4). However, the precise mechanism by which HST1 is recruited to its genomic targets remains unclear. Transcriptional regulators are known to play a key role in directing histone deacetylases to specific genomic loci [52]. For instance, transcription factors such as MYB-like proteins can recruit corepressors like TOPLESS along with the histone deacetylase HDA19 to form a repressive complex that downregulates miR159 expression by reducing H3K9ac levels at its promoter [53]. HDA19-mediated histone deacetylation suppresses the transactivation capacity of the defense-related transcription factors WRKY38/62, establishing an epigenetic layer in immune response regulation [54]. Beyond transcription factors, other chromatin-associated proteins—including chromatin remodelers such as SWI/SNF and epigenetic modifiers like methyltransferases—may also contribute to the recruitment of HST1 [55,56]. Therefore, whether additional transcription factors or interacting proteins participate in the molecular mechanism by which HST1 regulates plant architecture warrants further investigation.

5. Conclusions

In summary, our study established BpHST1 as a key epigenetic regulator governing plant architecture in birch through the modulation of photosynthetic pathways. We demonstrated that BpHST1, which shows light-responsive and leaf-predominant expression, significantly affects the plant architecture when overexpressed in birch, leading to reduced plant height and cell size, and impaired photosynthetic capacity. Combined with RNA-seq and ChIP-seq association analysis, we postulated that BpLHCA2 may function as a downstream targeted gene of BpHST1, mediating plant growth and development. These findings offer a novel insight into the epigenetic control of forest architecture and provide a valuable foundation for future epigenetic breeding strategies aimed at improving forest productivity and adaptation.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/biology14121689/s1, Figure S1: Analysis of BpHST1 promoter and BpHST1 protein features, and the vector construction of the BpHST1 promoter.; Figure S2: Construction of the BpHST1 overexpression vector and the photosynthetic physiological analysis; Figure S3: IGV illustrating the reproducible peaks of 35S::BpHST1::FLAG ChIP-seq and RNA-seq; Figure S4: AlphaFold3-predicted binding of BpHST1 to BpLHCA2 promoter regions. Table S1: Primer design of PCR.

Author Contributions

Conceptualization, Z.Z.; methodology, L.H. and B.L.; software, B.L.; validation, L.H. and M.G.; formal analysis, B.L.; investigation, M.G.; resources, L.H.; data curation, L.H.; writing—original draft preparation, L.H.; writing—review and editing, Z.Z. and L.H.; visualization, M.G. and B.L.; supervision, Z.Z.; project administration, Z.Z.; funding acquisition, Z.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the “5211” Research Initiation Funding of Northeast Forestry University (GCC2016-01).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Acknowledgments

We acknowledge all contributors for their support in this research.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Cao, S.; Chen, Z.J. Transgenerational epigenetic inheritance during plant evolution and breeding. Trends Plant Sci. 2024, 29, 1203–1223. [Google Scholar] [CrossRef]
  2. Chen, Q.; Zhang, J.; Li, G. Dynamic epigenetic modifications in plant sugar signal transduction. Trends Plant Sci. 2022, 27, 379–390. [Google Scholar] [CrossRef] [PubMed]
  3. Xue, Y.; Cao, X.; Chen, X.; Deng, X.; Deng, X.W.; Ding, Y.; Dong, A.; Duan, C.-G.; Fang, X.; Gong, L. Epigenetics in the modern era of crop improvements. Sci. China Life Sci. 2025, 68, 1570–1609. [Google Scholar] [CrossRef] [PubMed]
  4. Gwee, J.; Tian, W.; Qian, S.; Zhong, X. DNA methylation dynamics: Patterns, regulation, and function. Curr. Opin. Plant Biol. 2025, 88, 102787. [Google Scholar] [CrossRef]
  5. Singal, R.; Ginder, G.D. DNA methylation. J. Am. Soc. Hematol. 1999, 93, 4059–4070. [Google Scholar]
  6. Bastié, N.; Chapard, C.; Dauban, L.; Gadal, O.; Beckouët, F.; Koszul, R. Smc3 acetylation, Pds5 and Scc2 control the translocase activity that establishes cohesin-dependent chromatin loops. Nat. Struct. Mol. Biol. 2022, 6, 575–585. [Google Scholar] [CrossRef]
  7. Chen, L.-T.; Luo, M.; Wang, Y.-Y.; Wu, K. Involvement of Arabidopsis histone deacetylase HDA6 in ABA and salt stress response. J. Exp. Bot. 2010, 61, 3345–3353. [Google Scholar] [CrossRef] [PubMed]
  8. Xu, C.-R.; Liu, C.; Wang, Y.-L.; Li, L.-C.; Chen, W.-Q.; Xu, Z.-H.; Bai, S.-N. Histone acetylation affects expression of cellular patterning genes in the Arabidopsis root epidermis. Proc. Natl. Acad. Sci. USA 2005, 102, 14469–14474. [Google Scholar] [CrossRef]
  9. Murfett, J.; Wang, X.-J.; Hagen, G.; Guilfoyle, T.J. Identification of Arabidopsis histone deacetylase HDA6 mutants that affect transgene expression. Plant Cell 2001, 13, 1047–1061. [Google Scholar] [CrossRef]
  10. Su, J.; Tian, Y.; Hao, S.; Jin, X.; He, Z.; An, L.; Song, Y. The AtHDA6-AtSK2 module promotes cold tolerance by enhancing shikimate metabolism and antioxidant activity. Plant J. 2025, 122, e70197. [Google Scholar] [CrossRef]
  11. Liu, C.; Li, L.-C.; Chen, W.-Q.; Chen, X.; Xu, Z.-H.; Bai, S.-N. HDA18 affects cell fate in Arabidopsis root epidermis via histone acetylation at four kinase genes. Plant Cell 2013, 25, 257–269. [Google Scholar] [CrossRef]
  12. Tilak, P.; Kotnik, F.; Née, G.; Seidel, J.; Sindlinger, J.; Heinkow, P.; Eirich, J.; Schwarzer, D.; Finkemeier, I. Proteome-wide lysine acetylation profiling to investigate the involvement of histone deacetylase HDA5 in the salt stress response of Arabidopsis leaves. Plant J. 2023, 115, 275–292. [Google Scholar] [CrossRef]
  13. Lohe, A.R.; Chaudhury, A. Genetic and epigenetic processes in seed development. Curr. Opin. Plant Biol. 2002, 5, 19–25. [Google Scholar] [CrossRef]
  14. Li, X.; Bu, F.; Zhang, M.; Li, Z.; Zhang, Y.; Chen, H.; Xue, W.; Guo, R.; Qi, J.; Kim, C. Enhancing nature’s palette through the epigenetic breeding of flower color in chrysanthemum. New Phytol. 2025, 245, 2117–2132. [Google Scholar] [CrossRef]
  15. Tang, D.; Gallusci, P.; Lang, Z. Fruit development and epigenetic modifications. New Phytol. 2020, 228, 839–844. [Google Scholar] [CrossRef] [PubMed]
  16. Kong, L.; Liu, Y.; Wang, X.; Chang, C. Insight into the role of epigenetic processes in abiotic and biotic stress response in wheat and barley. Int. J. Mol. Sci. 2020, 21, 1480. [Google Scholar] [CrossRef]
  17. Chang, Y.N.; Zhu, C.; Jiang, J.; Zhang, H.; Zhu, J.K.; Duan, C.G. Epigenetic regulation in plant abiotic stress responses. J. Integr. Plant Biol. 2020, 5, 563–580. [Google Scholar] [CrossRef] [PubMed]
  18. Luan, X.; Liu, S.; Ke, S.; Dai, H.; Xie, X.M.; Hsieh, T.F.; Zhang, X.Q. Epigenetic modification of ESP, encoding a putative long noncoding RNA, affects panicle architecture in rice. Rice 2019, 12, 20. [Google Scholar] [CrossRef]
  19. Zhang, J.; Zhang, Y.; Chen, J.; Xu, M.; Guan, X.; Wu, C.; Zhang, S.; Qu, H.; Chu, J.; Xu, Y. Sugar transporter modulates nitrogen-determined tillering and yield formation in rice. Nat. Commun. 2024, 15, 9233. [Google Scholar] [CrossRef] [PubMed]
  20. Liu, H.; Able, A.J.; Able, J.A. SMARTER de-stressed cereal breeding. Trends Plant Sci. 2016, 21, 909–925. [Google Scholar] [CrossRef]
  21. Kooke, R.; Johannes, F.; Wardenaar, R.; Becker, F.; Etcheverry, M.; Colot, V.; Vreugdenhil, D.; Keurentjes, J.J. Epigenetic basis of morphological variation and phenotypic plasticity in Arabidopsis thaliana. Plant Cell 2015, 27, 337–348. [Google Scholar] [CrossRef]
  22. Feeley, K.J.; Zuleta, D. Changing forests under climate change. Nat. Plants 2022, 8, 984–985. [Google Scholar] [CrossRef]
  23. Bonan, G.B. Forests and climate change: Forcings, feedbacks, and the climate benefits of forests. Science 2008, 320, 1444–1449. [Google Scholar] [CrossRef]
  24. Bräutigam, K.; Vining, K.J.; Lafon-Placette, C.; Fossdal, C.G.; Mirouze, M.; Marcos, J.G.; Fluch, S.; Fraga, M.F.; Guevara, M.Á.; Abarca, D. Epigenetic regulation of adaptive responses of forest tree species to the environment. Ecol. Evol. 2013, 3, 399–415. [Google Scholar] [CrossRef] [PubMed]
  25. Nicotra, A.B.; Atkin, O.K.; Bonser, S.P.; Davidson, A.M.; Finnegan, E.J.; Mathesius, U.; Poot, P.; Purugganan, M.D.; Richards, C.L.; Valladares, F. Plant phenotypic plasticity in a changing climate. Trends Plant Sci. 2010, 15, 684–692. [Google Scholar] [CrossRef] [PubMed]
  26. Li, X.; Xie, C.; Cheng, L.; Tong, H.; Bock, R.; Qian, Q.; Zhou, W. The next Green Revolution: Integrating crop architectype and physiotype. Trends Biotechnol. 2025, 10, 2479–2493. [Google Scholar] [CrossRef]
  27. Sasaki, A.; Ashikari, M.; Ueguchi-Tanaka, M.; Itoh, H.; Nishimura, A.; Swapan, D.; Ishiyama, K.; Saito, T.; Kobayashi, M.; Khush, G. Green revolution: A mutant gibberellin-synthesis gene in rice. Nature 2002, 416, 701–702. [Google Scholar] [CrossRef]
  28. Liu, Q.; Wu, K.; Harberd, N.P.; Fu, X. Green Revolution DELLAs: From translational reinitiation to future sustainable agriculture. Mol. Plant. 2021, 14, 547–549. [Google Scholar] [CrossRef] [PubMed]
  29. Zhang, X.; Lin, Z.; Wang, J.; Liu, H.; Zhou, L.; Zhong, S.; Li, Y.; Zhu, C.; Liu, J.; Lin, Z. The tin1 gene retains the function of promoting tillering in maize. Nat. Commun. 2019, 10, 5608. [Google Scholar] [CrossRef]
  30. Sun, J.; Huang, S.; Lu, Q.; Li, S.; Zhao, S.; Zheng, X.; Zhou, Q.; Zhang, W.; Li, J.; Wang, L. UV-B irradiation-activated E3 ligase GmILPA1 modulates gibberellin catabolism to increase plant height in soybean. Nat. Commun. 2023, 14, 6262. [Google Scholar] [CrossRef]
  31. Hill, J.L., Jr.; Hollender, C. Branching out: New insights into the genetic regulation of shoot architecture in trees. Curr. Opin. Plant Biol. 2019, 47, 73–80. [Google Scholar] [CrossRef]
  32. Chen, B.; Zhang, T.; Guo, Y.; Cao, L.; Zhang, X.; Ali, S.; Ma, R.; Xie, L.; Wang, J.; Zinta, G. Naturally Occurring Epialleles and Their Roles in Response to Climate Change in Birch. Mol. Ecol. 2025, 34, e70031. [Google Scholar] [CrossRef]
  33. Liu, Z.; Zhang, T.; Xu, R.; Liu, B.; Han, Y.; Dong, W.; Xie, Q.; Tang, Z.; Lei, X.; Wang, C. BpGRP1 acts downstream of BpmiR396c/BpGRF3 to confer salt tolerance in Betula platyphylla. Plant Biotechnol. J. 2024, 22, 131–147. [Google Scholar] [CrossRef] [PubMed]
  34. Wang, H.; Tu, R.; Ruan, Z.; Chen, C.; Peng, Z.; Zhou, X.; Sun, L.; Hong, Y.; Chen, D.; Liu, Q.; et al. Photoperiod and gravistimulation-associated Tiller Angle Control 1 modulats dynamic changes in rice plant architecture. Theor. Appl. Genet. 2023, 136, 160. [Google Scholar] [CrossRef]
  35. Zhao, L.; Zheng, Y.; Wang, Y.; Wang, S.; Wang, T.; Wang, C.; Chen, Y.; Zhang, K.; Zhang, N.; Dong, Z.; et al. A HST1-like gene controls tiller angle through regulating endogenous auxin in common wheat. Plant Biotechnol. J. 2023, 21, 122–135. [Google Scholar] [CrossRef] [PubMed]
  36. Xie, J.; Pierce, M.; Gailus-Durner, V.; Wagner, M.; Winter, E.; Vershon, A.K. Sum1 and Hst1 repress middle sporulation-specific gene expression during mitosis in Saccharomyces cerevisiae. EMBO J. 1999, 22, 6448–6454. [Google Scholar] [CrossRef]
  37. Mega, X. Evolution. molecular evolutionary genetics analysis across computing platforms; S Kumar, G Stecher, M Li, C Knyaz, K Tamura. J. Mol. Biol. 2018, 35, 1547–1549. [Google Scholar]
  38. 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]
  39. 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]
  40. Livak, K.J.; Schmittgen, T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef]
  41. Abramson, J.; Adler, J.; Dunger, J.; Evans, R.; Green, T.; Pritzel, A.; Ronneberger, O.; Willmore, L.; Ballard, A.J.; Bambrick, J. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 2024, 630, 493–500. [Google Scholar] [CrossRef]
  42. Cheng, D.; Liu, Y.; Wang, Y.; Cao, L.; Wu, S.; Yu, S.; Xie, L.n.; Li, H.; Jiang, J.; Liu, G. Establishment of high-efficiency genome editing in white birch (Betula platyphylla Suk.). Plant Biotechnol. J. 2023, 22, 7. [Google Scholar] [CrossRef] [PubMed]
  43. Tang, M.; Xue, W.; Li, X.; Wang, L.; Wang, M.; Wang, W.; Yin, X.; Chen, B.; Qu, X.; Li, J. Mitotically heritable epigenetic modifications of CmMYB6 control anthocyanin biosynthesis in chrysanthemum. New Phytol. 2022, 236, 1075–1088. [Google Scholar] [CrossRef]
  44. Li, R.; Xu, Y.; Xu, Q.; Tang, J.; Chen, W.; Luo, Z.; Liu, H.; Li, W.; Yan, J.; Springer, N.M. An epiallele of a gene encoding a PfkB-type carbohydrate kinase affects plant architecture in maize. Plant Cell 2025, 37, koaf017. [Google Scholar] [CrossRef]
  45. Waite, J.M.; Dardick, C. TILLER ANGLE CONTROL 1 modulates plant architecture in response to photosynthetic signals. J. Exp. Bot. 2018, 69, 4935–4944. [Google Scholar] [CrossRef]
  46. Ozawa, S.I.; Bald, T.; Onishi, T.; Xue, H.; Matsumura, T.; Kubo, R.; Takahashi, H.; Hippler, M.; Takahashi, Y. Configuration of Ten Light-Harvesting Chlorophyll a/b Complex I Subunits in Chlamydomonas reinhardtii Photosystem I. Plant Physiol. 2018, 178, 583–595. [Google Scholar] [CrossRef]
  47. Gorski, C.; Riddle, R.; Toporik, H.; Da, Z.; Dobson, Z.; Williams, D.; Mazor, Y. The structure of the Physcomitrium patens photosystem I reveals a unique Lhca2 paralogue replacing Lhca4. Nat. Plants 2022, 8, 307–316. [Google Scholar] [CrossRef]
  48. Wu, J.; Chen, S.; Wang, C.; Lin, W.; Huang, C.; Fan, C.; Han, D.; Lu, D.; Xu, X.; Sui, S.; et al. Regulatory dynamics of the higher-plant PSI-LHCI supercomplex during state transitions. Mol. Plant 2023, 16, 1937–1950. [Google Scholar] [CrossRef] [PubMed]
  49. Knoetzel, J.; Mant, A.; Haldrup, A.; Jensen, P.E.; Scheller, H.V. PSI-O, a new 10-kDa subunit of eukaryotic photosystem I. FEBS Lett. 2002, 510, 145–148. [Google Scholar] [CrossRef] [PubMed]
  50. Ho, T.T.H.; Schwier, C.; Elman, T.; Fleuter, V.; Zinzius, K.; Scholz, M.; Yacoby, I.; Buchert, F.; Hippler, M. Photosystem I light-harvesting proteins regulate photosynthetic electron transfer and hydrogen production. Plant Physiol. 2022, 189, 329–343. [Google Scholar] [CrossRef]
  51. Ramamoorthy, R.; Vishal, B.; Ramachandran, S.; Kumar, P.P. The OsPS1-F gene regulates growth and development in rice by modulating photosynthetic electron transport rate. Plant Cell Rep. 2018, 37, 377–385. [Google Scholar] [CrossRef] [PubMed]
  52. Kiermaier, A.; Eilers, M. Transcriptional control: Calling in histone deacetylase. Curr. Biol. 1997, 7, R505–R507. [Google Scholar] [CrossRef]
  53. Jing, W.; Gong, F.; Liu, G.; Deng, Y.; Liu, J.; Yang, W.; Sun, X.; Li, Y.; Gao, J.; Zhou, X. Petal size is controlled by the MYB73/TPL/HDA19-miR159-CKX6 module regulating cytokinin catabolism in Rosa hybrida. Nat. Commun. 2023, 14, 7106. [Google Scholar] [CrossRef]
  54. Kim, K.-C.; Lai, Z.; Fan, B.; Chen, Z. Arabidopsis WRKY38 and WRKY62 transcription factors interact with histone deacetylase 19 in basal defense. Plant Cell 2008, 20, 2357–2371. [Google Scholar] [CrossRef] [PubMed]
  55. Davalos, V.; Esteller, M. MicroRNAs and cancer epigenetics: A macrorevolution. Curr. Opin. Oncol. 2010, 22, 35–45. [Google Scholar] [CrossRef]
  56. Mardinian, K.; Adashek, J.J.; Botta, G.P.; Kato, S.; Kurzrock, R. SMARCA4: Implications of an altered chromatin-remodeling gene for cancer development and therapy. Mol. Cancer Ther. 2021, 20, 2341–2351. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Bioinformatic characterization and expression analysis of the BpHST1. (a) Phylogenetic and gene structure analysis of HST1 in different species. Depicting the arrangement of coding sequences (CDS, yellow boxes), untranslated regions (UTRs, blue boxes), and introns (lines). Os: Oryza sativa, Br: Brassica rapa, At: Arabidopsis thaliana, Cs: Citrus sinensis, Pt: Populus trichocarpa, Gm: Glycine max, Pp: Prunus persica, Bp: Betula platyphylla. (b) Amino acid alignment of the conserved domains of HST1 proteins from different organisms in birch and peach. * represents the stop codon of the protein. (c) Relative expression of BpHST1 under light and dark conditions over a 48 h period. The black areas represent dark conditions. The white areas represent light conditions. Data are presented as the mean ± SD, n = 3. (d) Relative expression of BpHST1 in various tissues of birch. Data are presented as the mean ± SD, n = 3. Asterisks represent significant differences (*** p < 0.001, t-test). (e) Analysis of BpHST1 promoter activity in birch. DL-1 and 35S::LUC as control. The pseudocolor bar showed the luminescence intensity in the image. Bar = 0.6 cm.
Figure 1. Bioinformatic characterization and expression analysis of the BpHST1. (a) Phylogenetic and gene structure analysis of HST1 in different species. Depicting the arrangement of coding sequences (CDS, yellow boxes), untranslated regions (UTRs, blue boxes), and introns (lines). Os: Oryza sativa, Br: Brassica rapa, At: Arabidopsis thaliana, Cs: Citrus sinensis, Pt: Populus trichocarpa, Gm: Glycine max, Pp: Prunus persica, Bp: Betula platyphylla. (b) Amino acid alignment of the conserved domains of HST1 proteins from different organisms in birch and peach. * represents the stop codon of the protein. (c) Relative expression of BpHST1 under light and dark conditions over a 48 h period. The black areas represent dark conditions. The white areas represent light conditions. Data are presented as the mean ± SD, n = 3. (d) Relative expression of BpHST1 in various tissues of birch. Data are presented as the mean ± SD, n = 3. Asterisks represent significant differences (*** p < 0.001, t-test). (e) Analysis of BpHST1 promoter activity in birch. DL-1 and 35S::LUC as control. The pseudocolor bar showed the luminescence intensity in the image. Bar = 0.6 cm.
Biology 14 01689 g001
Figure 2. Phenotypic analysis of BpHST1-overexpressing lines. (a) Relative expression levels of BpHST1 in transgenic lines. Data are presented as the mean ± SD, n = 3. Different letters indicate significant differences, by Duncan’s test at p < 0.05. (b) Phenotypic characterization of 35S::BpHST1::FLAG12 and 35S::BpHST1::FLAG19 lines. Bar = 10 cm. (ce) Quantitative assessment of phenotypes: plant height, 1st order branch number and branch angle. Data are presented as the mean ± SD, n = 9. Asterisks represent significant differences (* p < 0.05, ** p < 0.01, *** p < 0.001, ns: not significant, t-test). (f) Scanning electron microscopy in BpHST1 transgenic lines. Bar = 25 μm. (g,h) Quantification of cell length and width from scanning electron microscopy. Data are presented as the mean ± SD, n = 10. Asterisks represent significant differences (* p < 0.05, ** p < 0.01, *** p < 0.001, ns: not significant, t-test). (i) Quantification of the net photosynthetic rate in BpHST1 transgenic lines. Data are presented as the mean ± SD, n = 9. (*** p < 0.001, ns: not significant, t-test).
Figure 2. Phenotypic analysis of BpHST1-overexpressing lines. (a) Relative expression levels of BpHST1 in transgenic lines. Data are presented as the mean ± SD, n = 3. Different letters indicate significant differences, by Duncan’s test at p < 0.05. (b) Phenotypic characterization of 35S::BpHST1::FLAG12 and 35S::BpHST1::FLAG19 lines. Bar = 10 cm. (ce) Quantitative assessment of phenotypes: plant height, 1st order branch number and branch angle. Data are presented as the mean ± SD, n = 9. Asterisks represent significant differences (* p < 0.05, ** p < 0.01, *** p < 0.001, ns: not significant, t-test). (f) Scanning electron microscopy in BpHST1 transgenic lines. Bar = 25 μm. (g,h) Quantification of cell length and width from scanning electron microscopy. Data are presented as the mean ± SD, n = 10. Asterisks represent significant differences (* p < 0.05, ** p < 0.01, *** p < 0.001, ns: not significant, t-test). (i) Quantification of the net photosynthetic rate in BpHST1 transgenic lines. Data are presented as the mean ± SD, n = 9. (*** p < 0.001, ns: not significant, t-test).
Biology 14 01689 g002
Figure 3. BpHST1 negatively regulates the expression of key genes in photosynthesis system (a) Principal component analysis (PCA) of BpHST1 transgenic lines and DL-1. (b) Volcano plot of BpHST1 transgenic lines and DL-1. (c) Gene Ontology (GO) enrichment analysis of BpHST1 transgenic lines and DL-1. (dj) The FPKM values of all genes in photosynthesis terms in BpHST1 transgenic lines and DL-1. Data are presented as the mean ± SD, n = 3. Asterisks represent significant differences (* p < 0.05, ** p < 0.01, t-test).
Figure 3. BpHST1 negatively regulates the expression of key genes in photosynthesis system (a) Principal component analysis (PCA) of BpHST1 transgenic lines and DL-1. (b) Volcano plot of BpHST1 transgenic lines and DL-1. (c) Gene Ontology (GO) enrichment analysis of BpHST1 transgenic lines and DL-1. (dj) The FPKM values of all genes in photosynthesis terms in BpHST1 transgenic lines and DL-1. Data are presented as the mean ± SD, n = 3. Asterisks represent significant differences (* p < 0.05, ** p < 0.01, t-test).
Biology 14 01689 g003
Figure 4. Association analysis of 35S::BpHST1::FLAG ChIP-seq and RNA-seq. (a) Association between 35S::BpHST1::FLAG genomic binding and transcriptional changes. (b) Analysis of 35S::BpHST1::FLAG binding sites by ChIP-seq. (c) Identification of 35S::BpHST1::FLAG ChIP-seq binding motifs. (d) IGV illustrating the reproducible peaks of 35S::BpHST1::FLAG ChIP-seq and RNA-seq. Grey boxes, black boxes and black lines represent the 5′-UTR, exons and introns, respectively. Transcription start sites were presented with arrows, Bar = 100 bp.
Figure 4. Association analysis of 35S::BpHST1::FLAG ChIP-seq and RNA-seq. (a) Association between 35S::BpHST1::FLAG genomic binding and transcriptional changes. (b) Analysis of 35S::BpHST1::FLAG binding sites by ChIP-seq. (c) Identification of 35S::BpHST1::FLAG ChIP-seq binding motifs. (d) IGV illustrating the reproducible peaks of 35S::BpHST1::FLAG ChIP-seq and RNA-seq. Grey boxes, black boxes and black lines represent the 5′-UTR, exons and introns, respectively. Transcription start sites were presented with arrows, Bar = 100 bp.
Biology 14 01689 g004
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

Hou, L.; Li, B.; Ge, M.; Zheng, Z. Histone Deacetylase BpHST1 Regulates Plant Architecture and Photosynthesis in Birch. Biology 2025, 14, 1689. https://doi.org/10.3390/biology14121689

AMA Style

Hou L, Li B, Ge M, Zheng Z. Histone Deacetylase BpHST1 Regulates Plant Architecture and Photosynthesis in Birch. Biology. 2025; 14(12):1689. https://doi.org/10.3390/biology14121689

Chicago/Turabian Style

Hou, Lili, Baoxin Li, Mengyan Ge, and Zhimin Zheng. 2025. "Histone Deacetylase BpHST1 Regulates Plant Architecture and Photosynthesis in Birch" Biology 14, no. 12: 1689. https://doi.org/10.3390/biology14121689

APA Style

Hou, L., Li, B., Ge, M., & Zheng, Z. (2025). Histone Deacetylase BpHST1 Regulates Plant Architecture and Photosynthesis in Birch. Biology, 14(12), 1689. https://doi.org/10.3390/biology14121689

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