Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Bromodomain-containing proteins interact with a non-canonical RNA polymerase II kinase to maintain gene expression upon heat stress

Abstract

Phosphorylation at the carboxy-terminal domain of the largest subunit of RNA polymerase II plays a critical role in transcription, and histone acetylation is correlated with active transcription. However, the regulatory mechanisms by which histone acetylation modulates RNA polymerase II phosphorylation in plants remain unclear. Here we show that two functionally redundant bromodomain-containing proteins, global transcription factor group E2 (GTE2) and GTE7, can bind to acetylated histone H4. Both GTE2 and GTE7 interact with cyclin-dependent kinase-like 9 (CDKL9), which belongs to a plant-specific CDKL group. Unlike canonical CDKs, CDKL9 functions in a cyclin- and CDK-activating-kinase-independent manner and can phosphorylate at least the serine 2 and serine 5 residues of the carboxy-terminal domain in vitro. The GTE2/GTE7–CDKL9 complex is required to maintain serine 2 and serine 5 phosphorylation under heat stress. Consistently, loss-of-function gte2/gte7 and cdkl9 mutants show similar heat-sensitive phenotypes. We also demonstrate that the acetylated-histone-binding activity of GTE7 is essential for the association of CDKL9 with chromatin and for plant heat tolerance. Together, these findings provide mechanistic insight into transcriptional regulation via histone acetylation in response to heat stress and suggest that plants might have evolved a unique group of carboxy-terminal domain kinases for stress tolerance.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: GTE2 and GTE7 interact with CDKL9.
Fig. 2: CDKL9 is a Pol II CTD kinase.
Fig. 3: The GTE2/GTE7–CDKL9 complex maintains Pol II phosphorylation under heat stress.
Fig. 4: The kinase activity of CDKL9 is enhanced by heat to maintain heat-responsive gene expression.
Fig. 5: GTE2/GTE7–CDKL9 associates with stress-responsive genes and maintains their Pol II phosphorylation and expression.
Fig. 6: GTE2 and GTE7 bind to acetylated H4 to promote plant heat tolerance.
Fig. 7: GTE2 and GTE7 recruit CDKL9 to chromatin through binding to acetylated H4.

Similar content being viewed by others

Data availability

High-throughput sequencing of ChIP and transcriptome data are available on the China National Center for Bioinformation (https://ngdc.cncb.ac.cn/) with the accession number CRA019323. Source data are provided with this paper.

References

  1. Harlen, K. M. & Churchman, L. S. The code and beyond: transcription regulation by the RNA polymerase II carboxy-terminal domain. Nat. Rev. Mol. Cell Biol. 18, 263–273 (2017).

    Article  CAS  PubMed  Google Scholar 

  2. Hajheidari, M., Koncz, C. & Eick, D. Emerging roles for RNA polymerase II CTD in Arabidopsis. Trends Plant Sci. 18, 633–643 (2013).

    Article  CAS  PubMed  Google Scholar 

  3. Nojima, T. et al. RNA polymerase II phosphorylated on CTD serine 5 interacts with the spliceosome during co-transcriptional splicing. Mol. Cell 72, 369–379.e4 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Schwer, B. & Shuman, S. Deciphering the RNA polymerase II CTD code in fission yeast. Mol. Cell 43, 311–318 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Licatalosi, D. D. et al. Functional interaction of yeast pre-mRNA 3′ end processing factors with RNA polymerase II. Mol. Cell 9, 1101–1111 (2002).

    Article  CAS  PubMed  Google Scholar 

  6. Malumbres, M. Cyclin-dependent kinases. Genome Biol. 15, 122 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  7. Akhtar, M. S. et al. TFIIH kinase places bivalent marks on the carboxy-terminal domain of RNA polymerase II. Mol. Cell 34, 387–393 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Hengartner, C. J. et al. Temporal regulation of RNA polymerase II by Srb10 and Kin28 cyclin-dependent kinases. Mol. Cell 2, 43–53 (1998).

    Article  CAS  PubMed  Google Scholar 

  9. Cramer, P. Eukaryotic transcription turns 50. Cell 179, 808–812 (2019).

    Article  CAS  PubMed  Google Scholar 

  10. Devaiah, B. N. et al. BRD4 is an atypical kinase that phosphorylates serine2 of the RNA polymerase II carboxy-terminal domain. Proc. Natl Acad. Sci. USA 109, 6927–6932 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Hintermair, C. et al. Threonine-4 of mammalian RNA polymerase II CTD is targeted by Polo-like kinase 3 and required for transcriptional elongation. EMBO J. 31, 2784–2797 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Cui, X., Fan, B., Scholz, J. & Chen, Z. Roles of Arabidopsis cyclin-dependent kinase C complexes in cauliflower mosaic virus infection, plant growth, and development. Plant Cell 19, 1388–1402 (2007).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Kitsios, G., Alexiou, K. G., Bush, M., Shaw, P. & Doonan, J. H. A cyclin-dependent protein kinase, CDKC2, colocalizes with and modulates the distribution of spliceosomal components in Arabidopsis. Plant J. 54, 220–235 (2008).

    Article  CAS  PubMed  Google Scholar 

  14. Hajheidari, M., Farrona, S., Huettel, B., Koncz, Z. & Koncz, C. CDKF;1 and CDKD protein kinases regulate phosphorylation of serine residues in the C-terminal domain of Arabidopsis RNA polymerase II. Plant Cell 24, 1626–1642 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Shimotohno, A. et al. Diverse phosphoregulatory mechanisms controlling cyclin-dependent kinase-activating kinases in Arabidopsis. Plant J. 47, 701–710 (2006).

    Article  CAS  PubMed  Google Scholar 

  16. Shimotohno, A., Umeda-Hara, C., Bisova, K., Uchimiya, H. & Umeda, M. The plant-specific kinase CDKF;1 is involved in activating phosphorylation of cyclin-dependent kinase-activating kinases in Arabidopsis. Plant Cell 16, 2954–2966 (2004).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Yun, M., Wu, J., Workman, J. L. & Li, B. Readers of histone modifications. Cell Res. 21, 564–578 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Yang, Z. et al. Recruitment of P-TEFb for stimulation of transcriptional elongation by the bromodomain protein Brd4. Mol. Cell 19, 535–545 (2005).

    Article  CAS  PubMed  Google Scholar 

  19. Jang, M. K. et al. The bromodomain protein Brd4 is a positive regulatory component of P-TEFb and stimulates RNA polymerase II-dependent transcription. Mol. Cell 19, 523–534 (2005).

    Article  CAS  PubMed  Google Scholar 

  20. Zheng, B. et al. Distinct layers of BRD4–PTEFb reveal bromodomain-independent function in transcriptional regulation. Mol. Cell 83, 2896–2910.e4 (2023).

  21. Bardani, E., Kallemi, P., Tselika, M., Katsarou, K. & Kalantidis, K. Spotlight on plant bromodomain proteins. Biology 12, 1076 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Airoldi, C. A. et al. The Arabidopsis BET bromodomain factor GTE4 is involved in maintenance of the mitotic cell cycle during plant development. Plant Physiol. 152, 1320–1334 (2010).

    Article  CAS  PubMed  Google Scholar 

  23. Chua, Y. L., Channeliere, S., Mott, E. & Gray, J. C. The bromodomain protein GTE6 controls leaf development in Arabidopsis by histone acetylation at ASYMMETRIC LEAVES1. Genes Dev. 19, 2245–2254 (2005).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Misra, A., McKnight, T. D. & Mandadi, K. K. Bromodomain proteins GTE9 and GTE11 are essential for specific BT2-mediated sugar and ABA responses in Arabidopsis thaliana. Plant Mol. Biol. 96, 393–402 (2018).

    Article  CAS  PubMed  Google Scholar 

  25. Zhou, Q. et al. Bromodomain-containing factor GTE4 regulates Arabidopsis immune response. BMC Biol. 20, 256 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  26. Soutourina, J. Transcription regulation by the Mediator complex. Nat. Rev. Mol. Cell Biol. 19, 262–274 (2018).

    Article  CAS  PubMed  Google Scholar 

  27. Menges, M., de Jager, S. M., Gruissem, W. & Murray, J. A. Global analysis of the core cell cycle regulators of Arabidopsis identifies novel genes, reveals multiple and highly specific profiles of expression and provides a coherent model for plant cell cycle control. Plant J. 41, 546–566 (2005).

    Article  CAS  PubMed  Google Scholar 

  28. Zheng, Z. L. Cyclin-dependent kinases and CTD phosphatases in cell cycle transcriptional control: conservation across eukaryotic kingdoms and uniqueness to plants. Cells 11, 279 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Malumbres, M. et al. Cyclin-dependent kinases: a family portrait. Nat. Cell Biol. 11, 1275–1276 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Park, K. et al. CDKL kinase regulates the length of the ciliary proximal segment. Curr. Biol. 31, 2359–2373.e7 (2021).

  31. Gomi, H., Sassa, T., Thompson, R. F. & Itohara, S. Involvement of cyclin-dependent kinase-like 2 in cognitive function required for contextual and spatial learning in mice. Front Behav. Neurosci. 4, 17 (2010).

    PubMed  PubMed Central  Google Scholar 

  32. Shao, Q. et al. CDKL2 is associated with HER2 status and overall survival in gastric cancer: comparative analysis of CDKL2 protein expression and gene copy number. Biomed. Res. Int. 2020, 1712723 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  33. Callaway, E. AI protein-prediction tool AlphaFold3 is now more open. Nature 635, 531–532 (2024).

    Article  CAS  PubMed  Google Scholar 

  34. Shogren-Knaak, M. et al. Histone H4-K16 acetylation controls chromatin structure and protein interactions. Science 311, 844–847 (2006).

    Article  CAS  PubMed  Google Scholar 

  35. Taylor, G. C., Eskeland, R., Hekimoglu-Balkan, B., Pradeepa, M. M. & Bickmore, W. A. H4K16 acetylation marks active genes and enhancers of embryonic stem cells, but does not alter chromatin compaction. Genome Res. 23, 2053–2065 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Dhalluin, C. et al. Structure and ligand of a histone acetyltransferase bromodomain. Nature 399, 491–496 (1999).

    Article  CAS  PubMed  Google Scholar 

  37. Li, C. et al. A review of CDKL: an underestimated protein kinase family. Int. J. Biol. Macromol. 277, 133604 (2024).

    Article  CAS  PubMed  Google Scholar 

  38. Flax, R. G. et al. Illumination of understudied ciliary kinases. Front. Mol. Biosci. 11, 1352781 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Wang, Z. W., Wu, Z., Raitskin, O., Sun, Q. & Dean, C. Antisense-mediated FLC transcriptional repression requires the P-TEFb transcription elongation factor. Proc. Natl Acad. Sci. USA 111, 7468–7473 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Zhao, L. et al. Integrative analysis of reference epigenomes in 20 rice varieties. Nat. Commun. 11, 2658 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357–359 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Li, H. et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics 25, 2078–2079 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  43. Ramírez, F., Dündar, F., Diehl, S., Grüning, B. A. & Manke, T. deepTools: a flexible platform for exploring deep-sequencing data. Nucleic Acids Res. 42, W187–W191 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  44. Carroll, T. S., Liang, Z., Salama, R., Stark, R. & de Santiago, I. Impact of artifact removal on ChIP quality metrics in ChIP-seq and ChIP-exo data. Front. Genet. 5, 75 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  45. Zhang, H. B., Kim, M., Chuang, J. H. & Ruan, Y. pyBedGraph: a Python package for fast operations on 1D genomic signal tracks. Bioinformatics 36, 3234–3235 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Zhang, Y. et al. Model-based Analysis of ChIP-Seq (MACS). Genome Biol. 9, R137 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  47. Yu, G., Wang, L. G. & He, Q. Y. ChIPseeker: an R/Bioconductor package for ChIP peak annotation, comparison and visualization. Bioinformatics 31, 2382–2383 (2015).

    Article  CAS  PubMed  Google Scholar 

  48. Dobin, A. et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics 29, 15–21 (2013).

    Article  CAS  PubMed  Google Scholar 

  49. Li, B. & Dewey, C. N. RSEM: accurate transcript quantification from RNA-seq data with or without a reference genome. BMC Bioinform. 12, 323 (2011).

    Article  CAS  Google Scholar 

  50. Kassambara, A. & Mundt, F. factoextra: Extract and Visualize the Results of Multivariate Data Analyses. R version 1.0.7 https://CRAN.R-project.org/package=factoextra (2020).

  51. Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  52. Chen, X. et al. POWERDRESS interacts with HISTONE DEACETYLASE 9 to promote aging in Arabidopsis. eLife 5, e17214 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  53. Gallo-Oller, G., Ordoñez, R. & Dotor, J. A new background subtraction method for western blot densitometry band quantification through image analysis software. J. Immunol. Methods 457, 1–5 (2018).

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank X. Zhong from Washington University in St Louis and D.-X. Zhou from University Paris-Saclay for their valuable suggestions for this study. We also thank Q. Lu from the Core Facility of the State Key Laboratory of Hybrid Rice at Wuhan University for technical support. This work was supported by the National Key Technologies R&D Program of China (grant no. 2023YFF1002400), the Hubei Provincial Natural Science Foundation (grant nos 2024AFA062 and 2022CFA025) and the National Natural Science Foundation of China (grant no. 32470618).

Author information

Authors and Affiliations

Authors

Contributions

X.Z. and X.C. designed the experiments. X.Z. performed most of the experiments. Z.Z. performed all bioinformatic analysis. P.Y., Q.Z. and X.L. provided technical assistance. X.Z. and X.C. analysed the data and wrote the paper. X.C. conceived of and supervised the project. All authors discussed the results and commented on the paper.

Corresponding author

Correspondence to Xiangsong Chen.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Plants thanks Tibor Csorba and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 Phylogenetic analysis of GTE proteins.

a. Phylogenetic tree of bromodomain-containing proteins from Arabidopsis thaliana, Oryza sativa and Homo sapiens. The phylogenetic tree was constructed using MEGA11. b. Phylogenetic tree of Arabidopsis thaliana GTE family members. Diagrams at the right represent the protein structures for each member.

Extended Data Fig. 2 Phylogenetic analysis of CDKs and CDKLs in Arabidopsis thaliana and Homo sapiens.

Phylogenetic tree of CDKs and CDKLs from Arabidopsis thaliana and Homo sapiens. The names with green background are Arabidopsis thaliana CDKLs and yellow background are Homo sapiens CDKLs. The red colored names show Homo sapiens CDKs and CDKLs, and the black colored names show Arabidopsis thaliana CDKs and CDKLs.

Extended Data Fig. 3 In vitro kinase activity assays of CDKL9 and GTE7.

a. The protein structure of CDKL9 was predicted by AlphaFold3. Potential ATP binding sites (196-205) were zoomed in by dashed box. b. In vitro kinase assay of CDKL9 on GTE7. c. In vitro kinase assay of GTE7 on Pol II CTD. The experiments in b and c were repeated independently two times and showed similar results.

Source data

Extended Data Fig. 4 Generation and phenotypic analysis of gte2, gte7 and cdkl9 mutants.

a. Diagram of GTE2 and GTE7 genes show the positions of T-DNA insertions. b, c. Confirmation of the gte2 (b) and gte7 (c) T-DNA insertion lines by RT-PCR, MON1 served as internal control. The experiments in b and c were repeated independently two times and showed similar results. d. Diagram of cdkl9 mutant generated by CRISPR-Cas9. e. Confirmation of the cdkl9 mutant by PCR. F and R primers position are shown in (d). The experiments were repeated independently two times and showed similar results. f. Fresh weights of rosette leaves of WT, gte2, gte7, gte2/7 and GTE7/gte2gte7 plants. Each circle represents an individual plant. Data are presented as mean ± s.e.m. Significance was evaluated by a one-way analysis of variance. Different letters indicate significant differences tested by Tukey’s multiple range test (P < 0.05). F represents the ratio of between-group variance to within-group variance, df indicates degrees of freedom between groups, and P denotes the probability of observing the effect under the null hypothesis. g. Fresh weights of rosette leaves of cdkl9, gte2/7 and cdkl9 gte2/7 mutants. Each circle represents an individual plant. Data are presented as mean ± s.e.m. Significance was evaluated in the same way as in (f).

Source data

Extended Data Fig. 5 Phenotypic and protein level analysis of gte2/7, cdkl9 mutants and rescued plants.

a-d. Vann diagrams show the overlapped genes with decreased Ser2P (a) or Ser5P (c) and increased Ser2P (b) or Ser5P (d) in gte2/7 or cdkl9 under normal condition. e. The seed germination rate of WT, gte2/7 and GTE7/gte2gte7 on CK, 200 mM NaCl, 350 mM Mannitol and 4°C. Data are presented as mean ± s.e.m. (n = 3 biological replicates). f. The seed germination phenotypes of WT, gte2/7 and GTE7/gte2gte7 under heat stress. g. Quantifications of the relative germination rate for each genotype presented in (f) after heat stress. Data are presented as mean ± s.e.m. (n = 12 biological replicates). P values are calculated by two-tailed Student’s t test. h, i. Vann diagrams show the overlapped genes with increased Ser2P (h) or Ser5P (i) in gte2/7 or cdkl9 under heat condition. j. Protein levels of GTE2-HA, GTE7-HA and CDKL9-HA under normal and Heat conditions. ACTIN served as control. The experiments were repeated independently two times and showed similar results.

Source data

Extended Data Fig. 6 Transcriptomic analysis of WT, gte2/7 and cdkl9 mutants under normal and heat conditions.

a. Principal component analysis (PCA) of RNA-seq data in WT, gte2/7 and cdkl9 under normal condition. b. Volcano plots showing differentially expressed genes in gte2/7 or cdkl9 compared with WT under normal condition. P values are calculated using two-tailed Wald tests under negative binomial generalized linear models, with 95% confidence intervals derived from normal approximation. c. Principal component analysis (PCA) of RNA-seq data in WT, gte2/7 and cdkl9 under heat condition. d. Volcano plots showing differentially expressed genes in gte2/7 or cdkl9 compared with WT under heat condition. P values are calculated using two-tailed Wald tests under negative binomial generalized linear models, with 95% confidence intervals derived from normal approximation. e. Expression levels of the 95 genes overlapped (Fig. 4c) in WT, gte2/7 and cdkl9 under normal and heat condition. P values were calculated by two-tailed Student’s t test. Each plotting panel, from left to right, displays the frequency distribution of the data, the boxplot, and the raw data points. In the boxplot, the central horizontal line within the box represents the median of the data. The upper edge of the box corresponds to the upper quartile, while the lower edge indicates the lower quartile. The whiskers extend to the minimum and maximum values within 1.5 times the interquartile range.

Extended Data Fig. 7 Chromatin associations of GTE2, GTE7 and CDKL9.

a, b. Chromosomal views of GTE2 and GTE7 under normal (a) and heat (b) condition distribution on five chromosomes. The Y-axis represents the log2 value of GTE2-HA and GTE7-HA ChIP-seq reads relative to untagged WT control. Chr1, Chr2, Chr3, Chr4 and Chr5 represent chromosomes 1 to 5, respectively. Black triangles indicate the location of centromeric regions. c. Metaplots and heatmaps show the distribution patterns of GTE2 and GTE7 protein on all genes. TSS, transcription start site; TES, transcription end site; −2 and 2 kb represent 2 kb upstream of TSS and 2 kb downstream TES, respectively. d. Additional biological replicate for Fig. 5p showing ChIP-quantitative PCR (ChIP-qPCR) analysis for CDKL9 enrichment under normal and heat condition on representative genes (n = 2 technical replicates). e, f. ChIP-quantitative PCR (ChIP-qPCR) analysis of CDKL9 enrichment under normal and heat condition on representative genes chosen from the GTE2 and GTE7 bound genes (n = 2 technical replicates). e and f represent two biological replicates.

Extended Data Fig. 8 Sequence and functional analysis of histone acetylation-binding activity of GTE7.

a. Sequence alignment of bromodomains of GTE2, GTE7, BRD4, CBP, P300 and PCAF. Two conserved residues of Tyr and Asn are shown in red box. b. Metaplots show the GTE7 and GTE72A enrichment level on GTE2/7-enriched genes under heat condition. c. Additional biological replicate for Fig. 7a showing ChIP-qPCR analysis of CDKL9 enrichment on genes in wild-type and gte2/7 mutant backgrounds (n = 2 technical replicates). d. Additional biological replicate for Fig. 7b showing ChIP-qPCR analysis of CDKL9 enrichment on genes in wild-type and GTE72A-rescued gte2/7 mutant backgrounds (n = 2 technical replicates).

Extended Data Table 1 List of proteins co-purified with GTE7. Immunoprecipitation followed by mass spectrometry assay show that transcription factors are co-purified with GTE7. Unique peptides represent the number of identified unique peptides that are mapped to an individual protein. WT as a negative control

Supplementary information

Supplementary Information

Supplementary Fig. 1.

Reporting Summary

Supplementary Tables

Supplementary Tables 1–11.

Source data

Source Data Figs. 1, 2, 4 and 6 and Extended Data Figs. 3–5

Combined figure of the unprocessed scanned pictures for all the blots.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zheng, X., Zuo, Z., Yao, P. et al. Bromodomain-containing proteins interact with a non-canonical RNA polymerase II kinase to maintain gene expression upon heat stress. Nat. Plants 11, 1416–1428 (2025). https://doi.org/10.1038/s41477-025-02044-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41477-025-02044-3

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing