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Capture of regulatory factors via CRISPR–dCas9 for mechanistic analysis of fine-tuned SERRATE expression in Arabidopsis

Abstract

SERRATE (SE) plays an important role in many biological processes and under biotic stress resistance. However, little about the control of SE has been clarified. Here we present a method named native chromatin-associated proteome affinity by CRISPR–dCas9 (CASPA–dCas9) to holistically capture native regulators of the SE locus. Several key regulatory factors including PHYTOCHROME RAPIDLY REGULATED 2 (PAR2), WRKY DNA-binding protein 19 (WRKY19) and the MYB-family protein MYB27 of SE are identified. MYB27 recruits the long non-coding RNA–PRC2 (SEAIR–PRC2) complex for H3K27me3 deposition on exon 1 of SE and subsequently represses SE expression, while PAR2–MYB27 interaction inhibits both the binding of MYB27 on the SE promoter and the recruitment of SEAIR–PRC2 by MYB27. The interaction between PAR2 and MYB27 fine-tunes the SE expression level at different developmental stages. In addition, PAR2 and WRKY19 synergistically promote SE expression for pathogen resistance. Collectively, our results demonstrate an efficient method to capture key regulators of target genes and uncover the precise regulatory mechanism for SE.

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Fig. 1: Capture of regulatory factors of SE by CASPA–dCas9 and analysis of the corresponding mutants.
Fig. 2: The evaluation of Pm resistance in par2-1, myb27-1 and wrky19-2 single mutants and their generated double mutants.
Fig. 3: MYB27 directly binds to the SE promoter.
Fig. 4: MYB27 induces H3K27me3 deposition on exon 1 of SE by recruiting the PRC2 complex.
Fig. 5: PAR2–MYB27 interaction prevents the binding of MYB27 to the SE promoter and the recruitment of PRC2 by MYB27.
Fig. 6: The regulatory mechanism of SE during Arabidopsis development and under biotic stresses.

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Data availability

The ChIP–seq data involved in this study are available at the NCBI BioProject https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA874567 (ref. 56) and NCBI SRA https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA972317 (ref. 57). Detailed information on the CASPA–dCas9 pull-down assays is available in Supplementary Data 1 and the Supplementary Methods. Detailed information on the ChIP–seq data and the identified differentially enriched peaks and differential degree genes can be found in Supplementary Data 3. The accessible link for TAIR 10 is https://www.arabidopsis.org/. Source data are provided with this paper.

References

  1. Kerstetter, R. A. & Poethig, R. S. The specification of leaf identity during shoot development. Annu. Rev. Cell Dev. Biol. 14, 373–398 (1998).

    Article  CAS  PubMed  Google Scholar 

  2. Raczynska, K. D. et al. The SERRATE protein is involved in alternative splicing in Arabidopsis thaliana. Nucleic Acids Res. 42, 1224–1244 (2014).

    Article  CAS  PubMed  Google Scholar 

  3. Schulze, W. M., Stein, F., Rettel, M., Nanao, M. & Cusack, S. Structural analysis of human ARS2 as a platform for co-transcriptional RNA sorting. Nat. Commun. 9, 1701 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  4. Grigg, S. P., Canales, C., Hay, A. & Tsiantis, M. SERRATE coordinates shoot meristem function and leaf axial patterning in Arabidopsis. Nature 437, 1022–1026 (2005).

    Article  CAS  PubMed  Google Scholar 

  5. Ray, S., Golden, T. & Ray, A. Maternal effects of the short integument mutation on embryo development in Arabidopsis. Dev. Biol. 180, 365–369 (1996).

    Article  CAS  PubMed  Google Scholar 

  6. Niu, D. et al. miRNA863-3p sequentially targets negative immune regulator ARLPKs and positive regulator SERRATE upon bacterial infection. Nat. Commun. 7, 11324 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Zhang, J. F. et al. The disturbance of small RNA pathways enhanced abscisic acid response and multiple stress responses in Arabidopsis. Plant Cell Environ. 31, 562–574 (2008).

    Article  CAS  PubMed  Google Scholar 

  8. Dong, Z., Han, M. H. & Fedoroff, N. The RNA-binding proteins HYL1 and SE promote accurate in vitro processing of pri-miRNA by DCL1. Proc. Natl Acad. Sci. USA 105, 9970–9975 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Siomi, H. & Siomi, M. C. On the road to reading the RNA-interference code. Nature 457, 396–404 (2009).

    Article  CAS  PubMed  Google Scholar 

  10. Wang, Z. Y. et al. SWI2/SNF2 ATPase CHR2 remodels pri-miRNAs via Serrate to impede miRNA production. Nature 557, 516–521 (2018).

    Article  CAS  PubMed  Google Scholar 

  11. Laubinger, S. et al. Global effects of the small RNA biogenesis machinery on the Arabidopsis thaliana transcriptome. Proc. Natl Acad. Sci. USA 107, 17466–17473 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Speth, C. et al. Arabidopsis RNA processing factor SERRATE regulates the transcription of intronless genes. eLife 7, e37078 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  13. Ran, F. A. et al. Double nicking by RNA-guided CRISPR Cas9 for enhanced genome editing specificity. Cell 154, 1380–1389 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Zheng, S. et al. Long non-coding RNA HUMT hypomethylation promotes lymphangiogenesis and metastasis via activating FOXK1 transcription in triple-negative breast cancer. J. Hematol. Oncol. 13, 17 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  15. Tsui, C. et al. dCas9-targeted locus-specific protein isolation method identifies histone gene regulators. Proc. Natl Acad. Sci. USA 115, E2734–E2741 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Chen, W. et al. An antisense intragenic lncRNA SEAIRa mediates transcriptional and epigenetic repression of SERRATE in Arabidopsis. Proc. Natl Acad. Sci. USA 120, e2216062120 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Wang, M. et al. Molecular insights into plant cell proliferation disturbance by Agrobacterium protein 6b. Genes Dev. 25, 64–76 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Yang, L., Liu, Z., Lu, F., Dong, A. & Huang, H. SERRATE is a novel nuclear regulator in primary microRNA processing in Arabidopsis. Plant J. 47, 841–850 (2006).

    Article  CAS  PubMed  Google Scholar 

  19. Rushton, P. J., Somssich, I. E., Ringler, P. & Shen, Q. X. J. WRKY transcription factors. Trends Plant Sci. 15, 247–258 (2010).

    Article  CAS  PubMed  Google Scholar 

  20. Dubos, C. et al. MYB transcription factors in Arabidopsis. Trends Plant Sci. 15, 573–581 (2010).

    Article  CAS  PubMed  Google Scholar 

  21. Tian, Y. K. et al. PRC2 recruitment and H3K27me3 deposition at FLC require FCA binding of COOLAIR. Sci. Adv. 5, eaau7246 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Roig-Villanova, I. et al. Interaction of shade avoidance and auxin responses: a role for two novel atypical bHLH proteins. EMBO J. 26, 4756–4767 (2007).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Seo, J. S. et al. ELF18-INDUCED LONG-NONCODING RNA associates with mediator to enhance expression of innate immune response genes in Arabidopsis. Plant Cell 29, 1024–1038 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Guo, R. et al. OsADK1, a novel kinase regulating arbuscular mycorrhizal symbiosis in rice. N. Phytol. 234, 256–268 (2022).

    Article  CAS  Google Scholar 

  25. Zhu, Y. et al. E3 ubiquitin ligase gene CMPG1-V from Haynaldia villosa L. contributes to powdery mildew resistance in common wheat (Triticum aestivum L.). Plant J. 84, 154–168 (2015).

    Article  CAS  PubMed  Google Scholar 

  26. Hao, Y. Q., Oh, E., Choi, G., Liang, Z. S. & Wang, Z. Y. Interactions between HLH and bHLH factors modulate light-regulated plant development. Mol. Plant 5, 688–697 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  27. Wang, B. H. et al. Structural insights into target DNA recognition by R2R3-MYB transcription factors. Nucleic Acids Res. 48, 460–471 (2020).

    CAS  PubMed  Google Scholar 

  28. Derkacheva, M. & Hennig, L. Variations on a theme: Polycomb group proteins in plants. J. Exp. Bot. 65, 2769–2784 (2014).

    Article  CAS  PubMed  Google Scholar 

  29. Turck, F. et al. Arabidopsis TFL2/LHP1 specifically associates with genes marked by trimethylation of histone H3 lysine 27. PLoS Genet. 3, e86 (2007).

    Article  PubMed  PubMed Central  Google Scholar 

  30. Albert, N. W. et al. A conserved network of transcriptional activators and repressors regulates anthocyanin pigmentation in eudicots. Plant Cell 26, 962–980 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Galstyan, A., Bou-Torrent, J., Roig-Villanova, I. & Martinez-Garcia, J. F. A dual mechanism controls nuclear localization in the atypical basic-helix-loop-helix protein PAR1 of Arabidopsis thaliana. Mol. Plant 5, 669–677 (2012).

    Article  PubMed  Google Scholar 

  32. Liu, Y. et al. Arabidopsis FHY3 and FAR1 regulate the balance between growth and defense responses under shade conditions. Plant Cell 31, 2089–2106 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Galstyan, A., Cifuentes-Esquivel, N., Bou-Torrent, J. & Martinez-Garcia, J. F. The shade avoidance syndrome in Arabidopsis: a fundamental role for atypical basic helix-loop-helix proteins as transcriptional cofactors. Plant J. 66, 258–267 (2011).

    Article  CAS  PubMed  Google Scholar 

  34. You, Y. et al. Temporal dynamics of gene expression and histone marks at the Arabidopsis shoot meristem during flowering. Nat. Commun. 8, 15120 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Nardozza, S. et al. Carbon starvation reduces carbohydrate and anthocyanin accumulation in red-fleshed fruit via trehalose 6-phosphate and MYB27. Plant Cell Environ. 43, 819–835 (2020).

    Article  CAS  PubMed  Google Scholar 

  36. Swiezewski, S., Liu, F., Magusin, A. & Dean, C. Cold-induced silencing by long antisense transcripts of an Arabidopsis Polycomb target. Nature 462, 799–802 (2009).

    Article  CAS  PubMed  Google Scholar 

  37. Kim, D. H. & Sung, S. Vernalization-triggered intragenic chromatin loop formation by long noncoding RNAs. Dev. Cell 40, 302–312 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Heo, J. B. & Sung, S. Vernalization-mediated epigenetic silencing by a long intronic noncoding RNA. Science 331, 76–79 (2011).

    Article  CAS  PubMed  Google Scholar 

  39. Prigge, M. J. & Wagner, D. R. The Arabidopsis SERRATE gene encodes a zinc-finger protein required for normal shoot development. Plant Cell 13, 1263–1279 (2001).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Groot, E. P. & Meicenheimer, R. D. Comparison of leaf plastochron index and allometric analyses of tooth development in Arabidopsis thaliana. J. Plant Growth Regul. 19, 77–89 (2000).

    Article  CAS  PubMed  Google Scholar 

  41. Li, Y. et al. Degradation of SERRATE via ubiquitin-independent 20S proteasome to survey RNA metabolism. Nat. Plants 6, 970–982 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Wang, L. et al. PRP4KA phosphorylates SERRATE for degradation via 20S proteasome to fine-tune miRNA production in Arabidopsis. Sci. Adv. 8, eabm8435 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Zhang, X., Henriques, R., Lin, S. S., Niu, Q. W. & Chua, N. H. Agrobacterium-mediated transformation of Arabidopsis thaliana using the floral dip method. Nat. Protoc. 1, 641–646 (2006).

    Article  CAS  PubMed  Google Scholar 

  44. Sun, B. et al. Integration of transcriptional repression and Polycomb-mediated silencing of WUSCHEL in floral meristems. Plant Cell 31, 1488–1505 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Fu, L. Y. et al. ChIP-Hub provides an integrative platform for exploring plant regulome. Nat. Commun. 13, 3413 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Zhu, T., Liao, K., Zhou, R., Xia, C. & Xie, W. ATAC-seq with unique molecular identifiers improves quantification and footprinting. Commun. Biol. 3, 675 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. 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 

  48. Li, H. & Durbin, R. Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics 25, 1754–1760 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Zhou, X. et al. The Human Epigenome Browser at Washington University. Nat. Methods 8, 989–990 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Chu, C., Qu, K., Zhong, F. L., Artandi, S. E. & Chang, H. Y. Genomic maps of long noncoding RNA occupancy reveal principles of RNA–chromatin interactions. Mol. Cell 44, 667–678 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Moran, V. A., Niland, C. N. & Khalil, A. M. Co-immunoprecipitation of long noncoding RNAs. Methods Mol. Biol. 925, 219–228 (2012).

    Article  CAS  PubMed  Google Scholar 

  52. Xu, Y. et al. SUPERMAN regulates floral whorl boundaries through control of auxin biosynthesis. EMBO J. 37, e97499 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  53. Rubio-Somoza, I. et al. Temporal control of leaf complexity by miRNA-regulated licensing of protein complexes. Curr. Biol. 24, 2714–2719 (2014).

    Article  CAS  PubMed  Google Scholar 

  54. Pastore, J. J. et al. LATE MERISTEM IDENTITY2 acts together with LEAFY to activate APETALA1. Development 138, 3189–3198 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Sparkes, I. A., Runions, J., Kearns, A. & Hawes, C. Rapid, transient expression of fluorescent fusion proteins in tobacco plants and generation of stably transformed plants. Nat. Protoc. 1, 2019–2025 (2006).

    Article  CAS  PubMed  Google Scholar 

  56. Chen, W. & Sun, B. An antisense intragenic lncRNA SEAIRa mediates transcriptional and epigenetic repression of SERRATE in Arabidopsis. NCBI BioProject. https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA874567 (2023).

  57. Chen, W. & Sun, B. Capture of regulatory factors via CRISPR/dCas9 for mechanistic analysis of fine-tuned SERRATE expression in Arabidopsis. NCBI SRA. https://www.ncbi.nlm.nih.gov/sra/?term=PRJNA972317 (2023).

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Acknowledgements

We acknowledge the Protein and Proteomics Centre in the Department of Biological Sciences, National University of Singapore, for collecting the liquid chromatography with tandem mass spectrometry data. This work was supported by a grant from the Singapore Millennium Foundation (no. R154-000-639-592) to Y.A.Y. and by the Fundamental Research Funds for the Central Universities (grant nos 020814380167 and 020814380180) to B.S.

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Authors and Affiliations

Authors

Contributions

W.C. and B.S. conceptualized the project. W.C., A.H., Y.C. and X.W. devised the methodology. W.C., T.Z. and D.C. managed the software. W.C., J.W., Y. Zheng and Z.W. conducted the investigation. W.C., D.L., G.W., W.Y. and Y. Zhao provided the resources. W.C. wrote the original draft of the paper. B.S. reviewed and edited the paper. Y.A.Y. and B.S. acquired the funding. Y.A.Y. and B.S. administered and supervised the project.

Corresponding authors

Correspondence to Wei Chen or Bo Sun.

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The authors declare no competing interests.

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

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Extended data

Extended Data Fig. 1 Capture of regulatory factors of SE.

a, Representative phenotypes of the CRISPR/dCas9-gRNA1, -gRNA2, -gRNA3 and -gRNA4 lines compared with wildtype (WT). Scale bar, 1 cm. b, The dCas9-6Myc enrichment at gRNA3 targeting locus. The y axis shows the calibrated relative ratio of bound DNAs to input DNAs after IP, and IgG serves as the negative control. The dCas9-6Myc enrichment at a random region of AGO1 promoter was used as the reference. Values are the means ± s.d. of three biological replicates. c, The enrichment of precipitated peptides in the CRISPR/dCas9-gRNA3 line compared with the non-gRNA control from LC‒MS/MS data by volcano plot. The x axis represents the peptide number change (peptide number in the non-gRNA control minus peptide number in the CRISPR/dCas9-gRNA3) and the y axis represents the normalized P value. Peptides specific in the CRISPR/dCas9-gRNA3 line (Specific-gRNA3) are shown in cyan and peptides specific in the non-gRNA control (Specific-control) are shown in red (p < 0.05 by one-way ANOVA). The p values for PAR2, WRKY19 and MYB27 peptides are 0.004, 0.020 and 0.038, respectively. d, Mass spectrometry analysis of PAR2, WRKY19 and MYB27 peptides. e-g, Gene structures (upper panel) and expressions (lower panel) of PAR2 (e), WRKY19 (f) and MYB27 (g) in par2-1, wrky19-2 (w19-2) and myb27-1 mutants, respectively. The Inverted triangles and blue triangles represent the relative position of the T-DNA and the position of the primers used for qRT-PCR analysis, respectively. #1, #2 and #3 in (e-g) represent different individual plants in the same T-DNA insertion lines. Values are the means ± s.d. of three biological replicates. In b and e-g: **p < 0.01, two-sided Student’s t-test. The exact p values are shown in Supplementary Data 4.

Source data

Extended Data Fig. 2 Representative phenotypes of different mutants and analysis of miRNAs formation in par2-1 and myb27-1 mutants.

a, Representative phenotypes of the par2-1 mutant as compared to WT. Photographs were taken of 3-wk-old seedlings. Scale bar, 1 cm. b, The representative leaves of par2-1, wrky19-2 and myb27-1 mutants as compared to WT and se-1. Photographs were taken for the second, third, and fourth true leaves of 3-week-old seedlings. Scale bar, 1 cm. c, Numbers of serrations per side of each leaf (n = 75) of par2-1, wrky19-2 and myb27-1 mutants as compared to WT and se-1. Values are the means ± s.d. (n = 75). d, Accumulation of miRNAs (miR157, miR162 and miR164) in the WT and par2-1 mutant by northern blotting. U6 snRNA was used as the control. e, qRT‒PCR analysis of target genes of the miRNAs in (d) in the WT and par2-1 mutant. Values are the means ± s.d. of three biological replicates. f, qRT‒PCR analysis of miRNAs (miR157, miR162 and miR164) in the WT and myb27-1 mutant. Values are the means ± s.d. of three biological replicates. g, qRT‒PCR analysis of target genes of the miRNAs in (f) in the WT and myb27-1 mutant. #1, #2 and #3 in (e-g) represent different individual plants in the same T-DNA insertion lines. Values are the means ± s.d. of three biological replicates. h, The comparison of SEAIR expressions between pSEAIR:SEAIR and pSEAIR:SEAIR plus p35S:PAR2 in N. benthamiana leaves. Values are the means ± s.d. of three biological replicates. i, The comparison of SEAIR expressions between pSEAIR:SEAIR and pSEAIR:SEAIR plus p35S:MYB27 in N. benthamiana leaves. #1 and #2 in (h-i) represent different individual plants from the same expressing group. Values are the means ± s.d. of three biological replicates. In c and e-i: *p < 0.05; **p < 0.01; ns: no significance, two-sided Student’s t-test. The exact p values are shown in Supplementary Data 4.

Source data

Extended Data Fig. 3 Representative phenotypes of par2-1 pPAR2:PAR2-6Myc and myb27-1 pMYB27:MYB27-GFP plants.

a, Representative phenotypes of par2-1 pPAR2:PAR2-6Myc (upper) and myb27-1 pMYB27:MYB27-GFP plants (lower). Scale bar, 1 cm. b-c, qRT-PCR analysis of SE expressions in par2-1 pPAR2:PAR2-6Myc (b) and myb27-1 pMYB27:MYB27-GFP plants (c). Values are the means ± s.d. of three biological replicates. d-e, Accumulation of miRNAs (miR157, miR162 and miR164) in par2-1 pPAR2:PAR2-6Myc (d) and myb27-1 pMYB27:MYB27-GFP plants (e). Values are the means ± s.d. of three biological replicates. f-g, qRT‒PCR analysis of target genes of the miRNAs in (d-e) in par2-1 pPAR2:PAR2-6Myc (f) and myb27-1 pMYB27:MYB27-GFP plants (g). #1, #2 and #3 in (b-g) represent different individual plants in the same transgenic lines. Values are the means ± s.d. of three biological replicates. In b-g: *p < 0.05; **p < 0.01; ns: no significance, two-sided Student’s t-test. The exact p values are shown in Supplementary Data 4.

Source data

Extended Data Fig. 4 Representative phenotypes of PAR2 OE and MYB27 OE lines.

a, Representative phenotypes of the PAR2 OE lines as compared to WT. The white arrows indicate the dark-green PAR2 OE plants. Scale bar, 1 cm. b, Representative dark-green phenotype of the PAR2 OE plant. Scale bar, 2 mm. c, Representative phenotypes of the Weak, Middle and Strong lines as compared to WT. Scale bar, 1 cm. d-h, Representative flower phenotypes of the Weak (d, e) and Middle (g, h) lines as compared to WT (f). Scale bar in (d, e and h), 1 mm and Scale bar in (f, g), 2 mm. i, Percentage of different phenotypes of PAR2 OE lines (n = 22). j-k, qRT-PCR analysis of PAR2 (j) and SE (k) expressions in rosette leaves of Weak, Middle and Strong lines compared with those in WT. (j) and (k) share the same legend. Values are the means ± s.d. of three biological replicates. l, The protein amounts of PAR2 in PAR2-GFP-6Myc OE (Weak, Middle and Strong) lines. WT and anti-H3 were used as the negative control and loading control, respectively. m, Representative phenotypes of the 27-Weak and 27-ox lines as compared to WT. The yellow and white arrows indicate the 27-Weak and 27-ox plants, respectively. Scale bar, 1 cm. n, Representative phenotypes of detached leaves of the WT and 27-ox lines. o, Percentage of different phenotypes of MYB27 OE lines (n = 54). p, qRT-PCR analysis of SE expressions in rosette leaves of 27-ox lines compared with those in WT. #1, #2 and #3 represent different individual plants in the 27-ox line. Values are the means ± s.d. of three biological replicates. In j, k and p: *p < 0.05; **p < 0.01, two-sided Student’s t-test. The exact p values are shown in Supplementary Data 4. The experiments in l were repeated independently at least twice with similar results.

Source data

Extended Data Fig. 5 The expression patterns of SEAIR, PAR2, MYB27, WRKY19 and PAR1 compared with SE during plant development and under biotic stresses.

a-f, The dynamic transcript level of SE (a), SEAIR (b), PAR2 (c), MYB27 (d), WRKY19 (e) and PAR1 (f) in rosette leaves along Arabidopsis growth time. Values are the means ± s.d. of three biological replicates. g-m, The dynamic transcript level of PR1 (g), SE (h), SEAIR (i), PAR2 (j), MYB27 (k), WRKY19 (l) and PAR1 (m) in rosette leaves along elf18 treatments. Values are the means ± s.d. of three biological replicates. n-t, The dynamic transcript level of PR1 (n), SE (o), SEAIR (p), PAR2 (q), MYB27 (r), WRKY19 (s) and PAR1 (t) in rosette leaves along flg22 treatments. Values are the means ± s.d. of three biological replicates.

Source data

Extended Data Fig. 6 The binding assays of WRKY19 to the SE promoter, SE mRNA signals by in situ hybridization assays in leaf cells, yeast two-hybrid assays between MYB27 and different components of PRC1/2 and the overlap of peaks with increased H3K27me3 in MYB27 OE and reduced H3K27me3 in myb27-1.

a, EMSA analysis between MBP-WRKY19 and the putative WRKY19-binding fragment (named pSE frag-1) in SE promoter. The full length of WRKY19-binding motif is shown in red. b, Yeast one-hybrid assay between WRKY19 and the 2000 bp SE promoter (pSE). The pSE without the W-box was named pSE mut. Transformed yeast cells were grown on media lacking tryptophan and histidine (SD/-Trp/-His). pHisi.1-0 or pDEST22-0 refers to empty only. 2 mM 3AT (3-Amino-1,2,4-triazole) was used for self-activation repression. c, SE mRNA signals by in situ hybridization assays in the WT and myb27-1 mutant. The red arrows indicated SE mRNA signals in leaf cells. The sense probe of SE was used as the negative control. Scale bar, 20 μm. d, Comparison of SE protein between pSE:SE-GFP and myb27-1 pSE:SE-GFP plants. Anti-H3 was used for the loading control. e, Yeast two-hybrid assays between MYB27 and different components of PcG complex. Transformed yeast cells were grown on media lacking leucine and tryptophan (SD/-Trp/-Leu) and lacking leucine, tryptophan, histidine, and adenine (SD/-Trp/-Leu/-His/-Ade). pGADT7-0 or pGBDK7-0 refers to empty only. f, Overlap of peaks with increased H3K27me3 in MYB27 OE and reduced H3K27me3 in myb27-1. The experiments in a and c-d were repeated independently at least twice with similar results.

Source data

Extended Data Fig. 7 The “SEAIR-PRC2” complex is recruited by MYB27 for SE repression.

a, Representative phenotypes of SEAIRa OE and myb27-1 SEAIRa OE plants as compared to WT. The red arrows indicate serrated leaves. Photographs were taken of 3-wk-old seedlings. Scale bar in (upper panel), 2 cm and Scale bar in (lower panel), 1 cm. b, The representative leaves of SEAIRa OE and myb27-1 SEIARa OE plants as compared to WT. Photographs were taken for the second, third, and fourth true leaves of 3-week-old seedlings. Scale bar, 1 cm. c, Numbers of serrations per side of each leaf of SEAIRa OE and myb27-1 SEAIRa OE plants as compared to WT. Values are the means ± s.d. (n = 75). In boxplots, centre lines and box edges are medians and the interquartile range (IQR), respectively. Whiskers extend within 1.5 times the IQR and the plus signs represent the means. d, H3K27me3 enrichment on SE chromatin in rosette leaves of 18-d-old seair-1, myb27-1 SEAIRa OE and SEAIRa OE plants as compared to WT by ChIP-seq assays. e, Changes in the enrichment of H3K27me3 on exon 1 of SE (P3) in rosette leaves of 18-d-old seair-1, myb27-1 SEAIRa OE and SEAIRa OE plants as compared to WT by ChIP-qPCR analyses. The P3 position of SE is shown in Fig. 3d. Values are the means ± s.d. of three biological replicates. f, qRT-PCR analysis of SE expressions in rosette leaves of seair-1, myb27-1 SEAIRa OE and SEAIRa OE plants as compared to WT. Values are the means ± s.d. of three biological replicates. g, Accumulation of miRNAs (miR157, miR162 and miR164) in rosette leaves of seair-1, myb27-1 SEAIRa OE and SEAIRa OE plants as compared to WT. Values are the means ± s.d. of three biological replicates. h, qRT‒PCR analysis of target genes of the miRNAs in (g) in rosette leaves of seair-1, myb27-1 SEAIRa OE and SEAIRa OE plants as compared to WT. Values are the means ± s.d. of three biological replicates. i, qRT-PCR analysis of SE expressions in rosette leaves of seair-1, myb27-1, myb27-1 seair-1 plants and WT. #1 and #2 represent different individual plants in the same lines. Values are the means ± s.d. of three biological replicates. j, RIP-qPCR analysis of 5’ truncation and 3’ truncation of SEAIR by using anti-GFP beads for pull-down in leaves from myb27-1 pMYB27:MYB27-GFP. The binding of MYB27-GFP on U6 was taken for the negative control and the relative enrichment rate was set to 1. Values are the means ± s.d. of three biological replicates. k, ChIRP assay of 5’ truncation of SEAIR on SE loci in rosette leaves of 18-d-old WT, myb27-1 and MYB27 OE (27-ox) with odd or even probe pools. Probes that target LacZ mRNA are served as the negative control. Odd probe pools: mix of probes 1 and 3 from 5’ truncation of SEAIR; even probe pools: mix of probes 2 and 4 from 5’ truncation of SEAIR. Positions of P2 and P4 of SE locus are shown in Fig. 3d. Values are the means ± s.d. of three biological replicates. l, H3K27me3 enrichment on SE chromatin in rosette leaves of 18-d-old SEAIRa OE and MYB27 OE plants. In c and e-k: *p < 0.05; **p < 0.01, two-sided Student’s t-test. The exact p values are shown in Supplementary Data 4.

Source data

Extended Data Fig. 8 The interaction between GST-PAR2 and MBP-MYB27 and the disruption of MYB27–FIE interaction by PAR2.

a, In vitro pull-down assays between GST-PAR2 and MBP-MYB27. The pull-down between GST and MBP-MYB27 was used as the negative control. b, CoIP assays between GFP/MYB27-GFP and PAR2-6Myc in Arabidopsis protoplasts. The proteins were precipitated by anti-GFP beads and detected by anti-GFP or anti-Myc antibody. c, Yeast one-hybrid assay between PAR2 and the 2000 bp SE promoter. Transformed yeast cells were grown on media lacking tryptophan and histidine (SD/-Trp/-His). pHisi.1-0 or pDEST22-0 refers to empty only. 2 mM 3AT was used for self-activation repression. Yeast one-hybrid assay between MYB27 and SE promoter was used as the positive control. d, The comparison of dual-luciferase assays between pSE:LUC plus p35S::GFP and pSE:LUC plus p35S:PAR2 in N. benthamiana leaves (upper panel). The relative intensity of luciferase was quantitively presented by qRT-PCR (lower panel). Values are the means ± s.d. of three biological replicates. e, The binding of PAR2-6Myc at SE promoter (P2) in rosette leaves of par2-1 pPAR2:PAR2-6Myc and par2-1 myb27-1 pPAR2:PAR2-6Myc plants. The y axis shows the calibrated relative ratio of bound DNAs to input DNAs after IP, and IgG serves as the negative control. #1 and #2 represent different individual plants in the same lines. Values are the means ± s.d. of three biological replicates. f, The disruption of MYB27–FIE interaction by PAR2 through yeast-three-hybrid assays. g, The disruption of MYB27–FIE interaction by PAR2 through BiLC assays. In d and e: **p < 0.01; ns: no significance, two-sided Student’s t-test. The exact p values are shown in Supplementary Data 4. The experiments in a and b were repeated independently at least twice with similar results.

Source data

Extended Data Fig. 9 The modulations of PAR2 and MYB27 fine-tune SE expressions during Arabidopsis development.

a-b, qRT-PCR analysis of PAR2 (a) and MYB27 (b) expressions in rosette leaves of 18-d-old and 30-d-old Arabidopsis. Values are the means ± s.d. of three biological replicates. c, Changes in the enrichment of H3K27me3 on exon 1 of SE (P3) in rosette leaves of 18-d-old and 30-d-old par2-1 mutants compared with WT. The y axis shows the calibrated relative ratio of bound DNAs to input DNAs after IP, and IgG serves as the negative control. The P3 position of SE is shown in Fig. 3d. Values are the means ± s.d. of three biological replicates. d, The enrichment of H3K27me3 on SE loci searching in H3K27me3 CHIP-seq database (http://www.plantseq.org/). e, Changes in the enrichment of H3K27me3 on exon 1 of SE (P3) in siliques, cauline leaves and 30-d-old rosette leaves of WT. The y axis shows the calibrated relative ratio of bound DNAs to input DNAs after IP, and IgG serves as the negative control. The P3 position of SE is shown in Fig. 3d. Values are the means ± s.d. of three biological replicates. f, qRT-PCR analysis of SE expressions in siliques, cauline leaves and 30-d-old rosette leaves of WT. (e) and (f) share the same legends. Values are the means ± s.d. of three biological replicates. g, The representative leaves of cauline leaves and 30-d-old rosette leaves. Scale bar, 1 cm. h-i, qRT-PCR analysis of PAR2 (h) and MYB27 (i) expressions in siliques, cauline leaves and 30-d-old rosette leaves of WT. (h) and (i) share the same legends. Values are the means ± s.d. of three biological replicates. In a-c, e-f and h-i: *p < 0.05; **p < 0.01, two-sided Student’s t-test. The exact p values are shown in Supplementary Data 4.

Source data

Supplementary information

Supplementary Information

Supplementary Table 1 and Methods.

Reporting Summary

Supplementary Data 1

Supplementary Data 1–4.

Source data

Source Data Fig. 1

Statistical source data for Fig. 1.

Source Data Fig. 2

Statistical source data for Fig. 2.

Source Data Fig. 3

Statistical source data for Fig. 3.

Source Data Fig. 4

Statistical source data for Fig. 4.

Source Data Figs. 4 and 5 and Extended Data Figs. 2, 4, 6 and 8

Unprocessed western blots and gels.

Source Data Fig. 5

Statistical source data for Fig. 5.

Source Data Extended Data Figs. 1–5 and 7–9

Statistical source data for Extended Data Figs. 1–5 and 7–9.

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Chen, W., Wang, J., Wang, Z. et al. Capture of regulatory factors via CRISPR–dCas9 for mechanistic analysis of fine-tuned SERRATE expression in Arabidopsis. Nat. Plants 10, 86–99 (2024). https://doi.org/10.1038/s41477-023-01575-x

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