Skip to main content
Nature Communications logoLink to Nature Communications
. 2019 Mar 21;10:1303. doi: 10.1038/s41467-019-09310-x

The Arabidopsis H3K27me3 demethylase JUMONJI 13 is a temperature and photoperiod dependent flowering repressor

Shuzhi Zheng 1,2,#, Hongmiao Hu 3,4,#, Huimin Ren 1, Zhenlin Yang 3,4, Qi Qiu 2,4, Weiwei Qi 1, Xinye Liu 1, Xiaomei Chen 3, Xiekui Cui 2, Sisi Li 5, Bing Zhou 2, Daye Sun 1,, Xiaofeng Cao 2,4,6,, Jiamu Du 3,4,7,
PMCID: PMC6428840  PMID: 30899015

Abstract

In plants, flowering time is controlled by environmental signals such as day-length and temperature, which regulate the floral pathway integrators, including FLOWERING LOCUS T (FT), by genetic and epigenetic mechanisms. Here, we identify an H3K27me3 demethylase, JUMONJI 13 (JMJ13), which regulates flowering time in Arabidopsis. Structural characterization of the JMJ13 catalytic domain in complex with its substrate peptide reveals that H3K27me3 is specifically recognized through hydrogen bonding and hydrophobic interactions. Under short-day conditions, the jmj13 mutant flowers early and has increased FT expression at high temperatures, but not at low temperatures. In contrast, jmj13 flowers early in long-day conditions regardless of temperature. Long-day condition and higher temperature induce the expression of JMJ13 and increase accumulation of JMJ13. Together, our data suggest that the H3K27me3 demethylase JMJ13 acts as a temperature- and photoperiod-dependent flowering repressor.


Jumonji domain-containing histone demethylases regulate flowering in plants. Here Zheng et al. show that Arabidopsis JMJ13 is an H3K27me3 demethylase that recognizes H3K27me3 via hydrogen bonding and hydrophobic interactions and affects both photoperiod and temperature-dependent flowering responses.

Introduction

Varying day-length (photoperiod) and ambient temperature are two environmental cues that play central roles in plant development, including the regulation of flowering time. As a facultative long-day (LD) plant, Arabidopsis thaliana flowers earlier under LD conditions compared to short-day (SD) conditions. Higher ambient temperature also promotes flowering and there is considerable crosstalk between the photoperiodic pathway and the ambient temperature pathway. These environmental cues regulate the expression of key flowering integrators such as FLOWERING LOCUS T (FT)1. In the photoperiodic pathway, FT is regulated by the oscillating expression of the transcription factor CONSTANS (CO), which integrates circadian clock and day-length signals26. In the ambient temperature pathway, the MADS-box domain proteins Flowering Locus M (FLM) and Short Vegetative Phase (SVP) are involved in regulating FT expression and thus flowering time7,8. SVP protein is degraded and its level declines as temperature increases8. FLM responds to ambient temperature changes by switching between protein isoforms FLM-β and FLM-δ9,10. FLM-β forms a repressive complex with SVP to prevent flowering, whereas the dominant negative FLM-δ forms an SVP–FLM-δ complex that lacks DNA binding and therefore repressor activity, allowing the activation of flowering11,12. The bHLH transcription factor PHYTOCHROME INTERACTING FACTOR4 (PIF4) binds directly to the FT promoter in a temperature-dependent manner, and strong binding of PIF4 to FT depends on the eviction of H2A.Z nucleosomes induced by high temperature13,14. Furthermore, the MYB transcription factor protein Early Flowering MYB Protein (EFM) acts as a convergence point for temperature and light regulation of flowering15.

Epigenetic regulators modulate chromatin conformation and composition, thus affecting the expression of key flowering integrators16. Histone methylation, which has important roles in transcriptional regulation and genome integrity17, is written by histone methyltransferases and erased by histone demethylases18. The highly diverse jumonji domain-containing histone demethylases are classified into subfamilies based on their catalytic domain sequence19,20. Demethylases from each subfamily target specific substrates and perform distinct functions. For example, the human Lysine (K)-Specific Demethylase 4 (KDM4), KDM5, and KDM6 subfamilies are H3K9me3/H3K36me3-specific, H3K4me3-specific, and H3K27me3-specific demethylases, respectively20. In plants, histone demethylases have plant-specific features and different evolutionary relationships compared with their animal counterparts19. For example, plants do not possess the KDM6 subfamily H3K27me3 demethylases19. Instead, two known plant H3K27me3 demethylases, EARLY FLOWERING 6 (ELF6)/JUMONJI 11 (JMJ11) and RELATIVE OF EARLY FLOWERING 6 (REF6)/JMJ12, show sequence similarities to the human H3K9me3/H3K36me3 bi-specific KDM4 subfamily demethylases19,20. The elf6 and ref6 loss-of-function mutants display early and late flowering phenotypes, respectively21, suggesting that various plant H3K27me3 demethylases influence flowering via different pathways. REF6 genome-wide DNA-binding requires four tandem Cys2His2 zinc fingers and functions to counteract Polycomb-mediated gene silencing2224.

Here we investigate the role of histone demethylases in plant flowering through the analysis of Arabidopsis JMJ13, which we show possesses H3K27me3 site-specific demethylase activity in vitro and in vivo. We further determined the crystal structure of JMJ13 in peptide-free and H3K27me3 peptide-bound forms. JMJ13 possesses a unique C4HCHC-type zinc finger, and not the previously predicted C5HC2-type zinc finger, despite the two zinc finger types sharing a similar folding topology. The substrate H3K27me3 peptide is specifically recognized by hydrogen bonding and hydrophobic stacking interactions, providing detailed structural insight into the substrate specificity of a plant H3K27me3 demethylase. In addition, we show that JMJ13 plays a role in temperature- and day-length-regulated flowering. Impaired JMJ13 function leads to early flowering in both LD and SD conditions at high temperature, but not in SD conditions at low temperature. Our genetic studies suggest that JMJ13 acts as a flowering repressor, which modulates flowering time in a temperature- and photoperiod-dependent manner.

Results

JMJ13 specifically demethylates H3K27me3

We previously identified 21 JmjC domain-containing proteins in the Arabidopsis thaliana genome and predicted JMJ13 as one of the 15 potentially active histone demethylases19. JMJ13 is a homolog of ELF6/JMJ11 and REF6/JMJ12, the two Arabidopsis KDM4 subfamily H3K27me3 demethylases (Supplementary Table 1)25,26. To determine whether JMJ13 is an active demethylase, we performed enzymatic activity assays in vivo using a Nicotiana benthamiana leaf-based assay25,27 (Fig. 1a). In cells where JMJ13-GFP was over-expressed, H3K27me3, but not H3K27me2 and H3K27me1, was markedly reduced (Fig. 1b, c). In contrast, there were no significant differences in the tri-, di- and mono-methylation levels of H3K4, H3K9, or H3K36 sites (Supplementary Fig. 1). The H3K27me3 demethylase activity of JMJ13-GFP was abolished when His293 and Glu295, the two conserved iron-binding amino acids, were replaced by alanine (Fig. 1d, e).

Fig. 1.

Fig. 1

JMJ13 is an H3K27me3 demethylase in vivo. a Schematic representation of GFP-tagged JMJ13 and JMJ13-H293A-E295A-GFP constructs. HD, helical domain. b, c Over-expression of JMJ13-GFP reduces the levels of H3K27me3 but not H3K27me2 and H3K27me1 in vivo. d, e Over-expression of JMJ13-H293A-E295A-GFP has no effect on H3K27 methylation. In b, d, the white arrows point to the transfected nuclei stained by methylation-specific histone antibodies (red, right panels), DAPI (blue, left panels), and the GFP signal from the JMJ13-GFP or JMJ13-H293A-E295A-GFP (green, middle panels), respectively. Scale bars, 2 μm. In c, e, more than 20 pairs of transfected nuclei versus non-transfected nuclei in the same field of view were observed and quantifications statistical analyzed. Error bars represent mean ± SE. Student’s t test was used to calculate the P value between JMJ13-GFP and WT. ****P value < 0.0001. The dots denote the individual data points. Source data are provided as a Source Data file.

We further performed a MALDI-TOF mass-spectrometry-based in vitro demethylase assay24. The recombinant expressed JMJ13 catalytic domain (JMJ13CD, residues 90–578, Fig. 2a) displayed unambiguous demethylation activity against H3K27me3 peptides, but not H3K4me3, H3K9me3, or H3K36me3 peptides, confirming that JMJ13 is an H3K27me3 site-specific histone demethylase (Supplementary Fig. 2a–d). Further assays show that JMJ13 has high H3K27me3 demethylase activity, but no significant activity on H3K27me2 and H3K27me1 (Supplementary Fig. 2d–f). Together, the in vivo and in vitro results demonstrate that JMJ13 is predominately an H3K27me3-specific demethylase.

Fig. 2.

Fig. 2

Structures of JMJ13-α-KG and JMJ13-NOG-H3K27me3 complexes. a A schematic representation of the domain architecture of the JMJ13 (upper panel) and the JMJ13 catalytic domain construct used in crystallization (lower panel). b Overall structure of JMJ13CD-α-KG complex in ribbon representation with the jumonji, helical, and zinc finger domains colored in green, magenta and cyan, respectively. The α-KG, nickel ion and zinc ions are shown in stick, orange ball, and silver balls, respectively. The zinc coordination residues are highlighted in stick representation. c Overall structure of JMJ13CD-NOG-H3K27me3 peptide complex with JMJ13 in ribbon and NOG and H3K27me3 peptide in space-filling representations, respectively. d An electrostatics surface view of JMJ13CD in complex with the H3K27me3 peptide in stick representation showing that the peptide fits into a negatively charge pocket of JMJ13CD. CD catalytic domain, HD helical domain

Crystal structure of JMJ13CD

To understand the mechanism of H3K27me3-specific demethylation by JMJ13, we performed structural studies. JMJ13 has a central catalytic domain flanked by flexible regions on both N- and C-termini (Fig. 2a). The crystal structure of the JMJ13 catalytic domain (JMJ13CD), including the predicted jumonji, helical, and zinc finger domains, in complex with the co-factor α-ketoglutarate (α-KG), was determined to 2.4 Å resolution (Fig. 2b and Supplementary Table 2). Despite being in different subfamilies, the overall structure of JMJ13CD resembles the previously reported structures of human KDM5A/B/C and Arabidopsis JMJ14, which are composed of two parts: the jumonji domain and the helical plus zinc finger domains24,28,29 (Fig. 2b). The jumonji domain adopts a typical α-KG-dependent oxygenase fold with a double-stranded β-helix in the center surrounded by several α-helices (Fig. 2b). A Ni2+ ion, which replaced the endogenous Fe2+ ion during nickel column purification, and the co-factor α-KG are located in the active center of the jumonji domain (Fig. 2b). The helical domain consists of four long α-helices forming a helical bundle (Fig. 2b).

JMJ13 and other members of the KDM5 subfamily of histone demethylases are predicted to possess a C5HC2-type (5 cysteine residues followed by a histidine and 2 additional cysteine residues) zinc finger domain to coordinate two Zn2+ ions. However, our structural analysis showed that the predicted C5HC2 zinc finger of JMJ13 in fact adopts a C4HCHC arrangement, which is composed of a CCCH-type zinc finger (Cys500, Cys503, Cys522, and His525) and a CCHC-type zinc finger (Cys514, Cys516, His519, and Cys534) (Fig. 2b). Rather than the predicted Cys507, the His525 contributes to zinc coordination in the C4HCHC-type zinc finger domain in JMJ13. Although the C4HCHC zinc finger domain is embedded in the primary sequence of the helical domain, structurally it forms an independent domain that interacts with the helical domain (Fig. 2a–b) in a similar manner to the helical and C5HC2 domains of JMJ1424.

Recognition of the H3K27me3 peptide by JMJ13

To investigate the substrate recognition and catalytic mechanism of JMJ13, we determined the crystal structure of JMJ13CD in complex with the α-KG analog N-oxalylglycine (NOG) and an H3K27me3 peptide, at 2.6 Å resolution (Fig. 2c and Supplementary Table 2). Overall the structure closely resembles the JMJ13-α-KG complex with a root-mean-square deviation (RMSD) of 0.49 Å (Supplementary Fig. 3a). The peptide can be traced from H3A24 to H3A31 (Supplementary Fig. 3b). The peptide binds in a negatively charged cleft with the residues H3K27me3 to H3P30 located at the bottom of the cleft and the other flanking residues extending out from the cleft (Fig. 2d). The side chain of H3K27me3 inserts into a deep binding pocket within the active site cleft (Fig. 2d). An NOG molecule and a Ni2+ ion are deeply buried in the center of the active site (Fig. 2c).

The interactions between JMJ13 and the H3K27me3 peptide are restricted to the region between H3R26 and H3P30. H3R26 forms salt bridge and hydrogen bonding interactions with Asp236 of JMJ13 (Fig. 3a). H3S28 forms a side-chain hydrogen bond with Asp296 of JMJ13 (Fig. 3a). H3P30 positions its side chain prolyl ring such that the plane of the propyl ring is parallel with and stacks on top of the phenyl ring of Phe179 of JMJ13 (Fig. 3a), resulting in hydrophobic stacking and CH-π interactions. Compared with the JMJ13 peptide-free structure, the side chain of Phe179 undergoes a significant rotation to allow stacking with H3P30, indicative of a peptide binding-induced conformational change (Fig. 3b).

Fig. 3.

Fig. 3

Structural basis for the recognition of H3K27me3 by JMJ13. a H3R26 and H3S28 form hydrogen bonds (dashed silver lines) with JMJ13 Asp236 and Asp296, respectively. The prolyl ring of H3P30 stacks with the phenyl ring of JMJ13 Phe179. b The superposition of JMJ13-α-KG complex (in cyan) and JMJ13-NOG-H3K27me3 complex (in green) shows that the binding of H3K27me3 peptide induces a significantly conformational change of the side chain of Phe179. The SIGMAA weighted 2Fo-Fc maps at 1 sigma level of the Phe179 in the two complexes are shown in meshes. c The methyl groups are specifically anchored by surrounding CH–O hydrogen bonds. The nickel ion is coordinated by NOG, a water molecule, and surrounding residues. d In vitro H3K27me3 demethylation activity assay of MBP-tagged JMJ13CD and its mutants showing the mutations of key residues involved in peptide binding and catalysis are decreasing the activity of JMJ13. The MBP protein was used as a negative control. The percentages of the product peptide are shown as means ± SD (n = 3). Green dots denote the individual data points. Source data are provided as a Source Data file

The active site of JMJ13 displays features typical of α-KG-dependent oxygenases observed for other jumonji domain histone demethylases (Fig. 3c)20,30. The trimethyllysine docks into the deep binding pocket with the three methyl groups anchored by an extensive CH–O hydrogen-bonding network (Fig. 3c), which is essential for fixing the conformation of the head group of the bound trimethyllysine. A Ni2+ ion and an NOG molecule are coordinated by surrounding residues (Fig. 3c).

To dissect the catalytic mechanism, we performed a structure-based mutagenesis study. To that end, we produced the JMJ13D236A and JMJ13D296A proteins, which have alanine replacements of the key residues involved in recognition of H3R26 and H3S28, respectively. These proteins showed significantly reduced demethylase activity (Fig. 3d). Mutation of Phe179 to serine, a small hydrophilic residue, produced a moderate decrease of activity, and replacement by glutamine, a hydrophilic residue with a larger side chain, significantly impaired activity (Fig. 3d), confirming the importance of the hydrophobic interaction between Phe179 and H3P30. Mutations of trimethyllysine or the nickel ion-binding residues completely abolished the activity of JMJ13, revealing their essential role in catalysis (Fig. 3d).

The H3K27me3 mark resides within the same ARKme3S consensus motif as the H3K9me3 mark, making the two marks chemically difficult to distinguish. In the JMJ13 structure, the specific stacking interaction between H3P30, at the n + 3 position, and Phe179 selects against the H3K9me3 substrate, which has an H3G12 at the n + 3 position, thereby ensuring substrate specificity.

Structural comparison with other histone demethylases

JMJ13 belongs to the KDM4 subfamily of histone demethylases based on phylogenetic sequence analysis of the catalytic domain19. However, JMJ13 possesses a domain architecture that does not resemble the two known KDM4 subfamily H3K27me3 demethylases, REF6 and ELF619, which contain four tandem DNA-binding C2H2 zinc fingers at the end of the C-terminus (Supplementary Table 1). Instead, JMJ13 resembles the H3K4me3-specific KDM5 subfamily histone demethylases, such as human KDM5/JARID1 and Arabidopsis JMJ1424,28,29, which contain a fused helical-zinc finger cassette to the C-terminus of the jumonji domain (Supplementary Table 1). In human, KDM4 subfamily demethylases are H3K9me3/H3K36me3 bi-specific enzymes; moreover, all known human H3K27me3 demethylases belong to the KDM6 subfamily, which is absent in plants (Supplementary Table 1)19,20. Thus, it is intriguing that a plant KDM4 subfamily demethylase employs a KDM5 subfamily-like domain architecture to conduct the functions of human KDM6 subfamily demethylases.

We superposed our JMJ13–H3K27me3 complex and the human UTX–H3K27me3 complex (PDB code: 3AVR) based on the jumonji domain (Fig. 4a)31,32. The jumonji plus helical domains of the two structures are similar (Fig. 4a). The region in UTX corresponding to the JMJ13 C4HCHC domain is the zinc binding domain, which coordinates only one zinc ion (Fig. 4b)31. The zinc finger domains of JMJ13 and UTX are of similar topology (Fig. 4b)31. The catalytic centers of the two structures share very similar conformations (Fig. 4a)31. The two substrate peptides from the two complexes possess the same directionality and have similar conformations (Fig. 4a and c). Asp1089 of UTX occupies the equivalent position of Asp236 in JMJ13, which is involved in H3R26 recognition, indicating a similar H3R26 recognition mechanism (Fig. 4c)31. H3S28 is recognized by Asp296 in JMJ13, but UTX has no specific interaction with H3S28 (Fig. 4c)31. H3P30 stacks with Phe179 in JMJ13, but with Pro1144 in UTX, which is in a different and non-homologous position (Fig. 4d)31. The recognition of H3P30 is essential for distinguishing between H3K27me3 and H3K9me3, indicating that JMJ13 and UTX have independently evolved different specific stacking interactions with H3P30 to ensure substrate specificity31.

Fig. 4.

Fig. 4

Comparison of JMJ13 and other histone demethylases. a A superposition of the JMJ13-NOG-H3K27me3 complex (in green) and UTX-NOG-H3K27me3 (in orange, PDB code: 3AVR) shows the similar overall structures and peptide-binding sites. b The structures of the C4HCHC dual zinc finger of JMJ13 (left panel, in green) and the C4 single zinc finger of UTX (right panel, in orange) showing different zinc coordination but similar folding topology. c The superposition of the JMJ13-NOG-H3K27me3 complex (in green) and the UTX-NOG-H3K27me3 (in orange) shows that the two proteins employ correspondent residues Asp236 of JMJ13 and Asp1089 of UTX to recognize H3R26 in the two complexes, respectively. In contrast, JMJ13 recognize H3S28 by a side chain hydrogen bond with Asp296, but UTX lacks this recognition. d The superposition of the JMJ13-NOG-H3K27me3 complex (in green) and UTX-NOG-H3K27me3 (in orange) shows that JMJ13 recognizes H3P30 by Phe179, while UTX recognizes H3P30 by Pro1144 at different positions. e A superposition of JMJ13-NOG-H3K27me3 complex (in green) and JMJ14-NOG-H3K4me3 complex (in magenta, PDB code: 5YKO) shows almost identical overall structures. f A detailed view of the comparison of the zinc finger domains of JMJ13 (in green) and JMJ14 (in magenta). The two zinc finger domains possess similar overall structures with the first zinc ions occupying the same position but the second zinc ions located at different positions. g The detailed structures of the zinc coordination of two zinc ions from JMJ13 (upper panel, in green) and the JMJ14 (lower panel, in magenta) show that the first zinc ions have the same coordination but the second ones have different coordination. h The schematic representation of the sequence motif and coordination of the zinc ions of the JMJ13 C4HCHC domain (upper panel) and JMJ14 C5HC2 domain (lower panel). The spacing residues are denoted as X

The KDM4 subfamily member JMJ13 possesses a jumonji-helical-zinc finger domain-like arrangement of the catalytic fragment, like the KDM5 subfamily member JMJ14 (Supplementary Table 1)24. The two proteins have similar domain arrangements and overall structures with an RMSD of 1.99 Å (Fig. 4e)24. Besides the conserved jumonji and helical domains, the peptide backbone of the C4HCHC zinc finger of JMJ13, and the C5HC2 zinc finger of JMJ14 are quite similar (Fig. 4f)24. However, the zinc coordination topologies differ. The first Zn2+ ion occupies an analogous position in both JMJ13 and JMJ14. However, the second zinc ion occupies different sites in the two proteins and each is coordinated differently (Fig. 4f–h), yet the proteins maintain very similar overall zinc finger domain topologies (Fig. 4f–h). Whether this relationship is indicative of similar function is presently not known.

Our structure-based sequence alignment identified the key residues involved in H3K4me3 recognition by JMJ14 and H3K27me3 recognition by JMJ13. These key residues are not conserved (Supplementary Fig. 4), although generally the JMJ13 and JMJ14 show similar overall structures (Fig. 4e). It suggests that the conserved jumonji-helical-zinc finger cassette may function as a general scaffold for histone demethylases, with specific features evolving within individual demethylases to enable differential regulation and substrate specificity.

Ectopic JMJ13 expression causes pleiotropic defects

H3K27me3 functions as a repressive histone mark18,33. To investigate the function of JMJ13, which removes H3K27me3, we generated JMJ13-GFP (JMJ13ox) over-expressing transgenic plants. JMJ13ox plants had pleiotropic phenotypes, with dwarf seedlings, early flowering, and upward curling leaves (Supplementary Fig. 5a), all of which increased in severity with increasing JMJ13 expression levels (Supplementary Fig. 5b). The JMJ13-GFP seedlings showed phenotypes similar to H3K27me3 silencing-deficient mutants lhp134 or REF6 over-expression plants, with reduced size of leaf surface cells (Supplementary Fig. 5c, d)25.

Some H3K27me3 target genes, including APETALA1 (AP1), APETALA3 (AP3), PISTILLATA (PI), AGAMOUS (AG), and SEPALLATA3 (SEP3), which are normally expressed in flowers, were ectopically activated in the JMJ13ox seedlings. (Supplementary Fig. 5e). Other genes, for example, FT and SOC1, which are expressed at low levels in 10-day-old seedlings, and the meristem function genes KNOTTED-LIKE FROM ARABIDOPSIS THALIANA 1 (KNAT1) and TOUCH 4 (TCH4), all of which are targets of REF6, were also upregulated in JMJ13ox seedlings (Supplementary Fig. 5e). Consistent with these changes in gene expression, H3K27me3 but not H3K4, H3K9, and H3K36 showed a strong global reduction in the two strong JMJ13ox transgenic lines (Supplementary Fig. 5f).

JMJ13 represses flowering

We identified jmj13, a T-DNA insertion in the second intron of JMJ13 (GABI116B03, At5g46910) (Supplementary Fig. 6a)35. No JMJ13 transcript was detected in the jmj13 mutant (Supplementary Fig. 6b–c). The plant Polycomb-group (Pc-G) protein CURLY LEAF (CLF), which functions as an H3K27me3 methyltransferase, is required to repress targets such as AG and SHOOTMERISTEMLESS (STM). CLF, thereby controls flowering time, leaf morphology, and floral organogenesis36,37. The jmj13 clf double mutant phenotype was similar to but weaker than that of clf in terms of flowering time, curling of leaves (Supplementary Fig. 6d–g) and fertility, indicating that jmj13 partially suppresses the clf phenotype. Consistently, the expression levels of some H3K27me3 target genes that were ectopically activated in clf were reduced in the jmj13 clf double mutant (Supplementary Fig. 6h). However, the expression of SEP3 and AG is not reduced in jmj13 clf relative to clf, although the leaf curling and early flowering phenotypes are weakly suppressed in the jmj13 clf double mutant. This could be due to other H3K27me3 target genes, or due to functional redundancy with REF6, ELF6 or other possible H3K27me3 demethylases. Together, these genetic interactions demonstrate that JMJ13 functions as an H3K27me3 demethylase that partially antagonizes the H3K27 methyltransferase CLF in vivo, although further investigation would be required to reveal the details of crosstalk between CLF and JMJ13 and whether the phenotypic suppression is due to direct antagonistic function at particular loci.

We further measured flowering time and scored total leaf number at bolting, in different photoperiod conditions (LD and SD) and under different ambient temperature conditions (low, 16 °C; and high, 28 °C). The jmj13 mutants displayed early flowering in LD conditions38, regardless of low or high temperatures. However, jmj13 plants flowered early at 28 °C, but not at 16 or 22 °C, when grown in SD conditions (Supplementary Fig. 7).

To verify that loss of JMJ13 function is responsible for the early flowering phenotype of jmj13, we transformed jmj13 with a 7.0 kb genomic construct (gJMJ13) including 2.6 kb upstream and 0.5 kb downstream of the coding region. All the transgenic plants exhibited comparable flowering time to Col plants at 22 °C in LD conditions (Fig. 5a). Compared with the fully rescued pJMJ13:JMJ13-HA jmj13 lines, lines containing a construct with point mutations in the two conserved iron-binding amino acids, H293A and E295A (pJMJ13:JMJ13mu-HAjmj13), showed similar flowering time to jmj13 mutants. This suggests that the enzyme activity is necessary for JMJ13 function, together with the jumonji and zinc finger domains (Fig. 5a, b).

Fig. 5.

Fig. 5

JMJ13 negatively modulates flowering time in a temperature- and photoperiod-dependent manner. a Three complementary lines Comp −1, −2 and −3 (pJMJ13:JMJ13-HAjmj13) showed similar flowering time with wild type in 22 °C LD conditions, but the complementary lines Comp-Mu −1, −2 and −3 with site mutation in the two conserved iron-binding amino acids (pJMJ13:JMJ13mu-HAjmj13), the complementary lines with truncation in JmjC Comp-ΔJmjc −1,−2, −3 (pJMJ13:JMJ13Jmjc-HAjmj13) and zinc finger domain Comp-ΔZF −1, −2, −3 (pJMJ13:JMJ13ZF-HAjmj13) remain early flowering. The plant images were created by the authors in this research. b The flowering time of complementary lines (Comp −1, −2, −3); (Comp-Mu −1, −2, −3); (Comp-ΔJmjc −1, −2, −3); (Comp-ΔZF 1, −2, −3) were assessed by counting rosette leaf numbers in bolting seedlings grown under 22 °C, 28 °C LD, and 22 °C, 28 °C SD conditions. Values are means ± SE of indicated number of plants for three independent biological repeats. N number was marked in the bottom of the column. Student’s t tests was used to calculate the P value between Col and other lines. ****P value < 0.0001; ***P < 0.001; **P < 0.01; *P value < 0.05; Bar = 1 cm. The individual data points are shown as dots. Source data are provided as a Source Data file

In Col plants, LD conditions and elevated ambient temperatures promote flowering. However, when grown in SD conditions, increased temperature could, to some extent, overcome the unfavorable day-length condition to promote flowering. Consistent with these phenotypic observations, the reproductive development of jmj13 mutants was hypersensitive to, and promoted by, both LD conditions and elevated ambient temperatures (Fig. 5b). Collectively, these results suggest that JMJ13 negatively modulates flowering time under LD and in SD under higher temperature.

Crosstalk between JMJ13 and other flowering time regulators

To investigate the mechanism underlying JMJ13′s regulation of flowering in response to temperature, we crossed jmj13 with flm and svp. The flm jmj13 and svp jmj13 double mutants flowered earlier in all conditions, including 22 °C and SD, whereas jmj13 showed a wild-type flowering phenotype in 22 °C and SD (Supplementary Fig. 8a). Over-expression of FLM-β but not FLM-δ repressed early flowering in jmj13 (Supplementary Fig. 8b–d). These genetic data are consistent with the possibility that FLM and SVP may act downstream or in parallel with JMJ13 in the regulation of flowering.

In the photoperiodic pathway, the circadian clock-regulated GIGANTEA (GI) protein positively regulates the oscillating expression of CO2,5. The transcript level and protein activity of CO are coordinately controlled by the light signaling pathway and the circadian clock. FT expression is activated by CO and repressed by FLM and SVP. Thus, transcriptional regulation of FT is a key output resulting from integration of photoperiodic cues with temperature signals. The flowering time of double mutants of ft jmj13, co jmj13, and gi jmj13 were assessed by counting rosette and cauline leaf numbers in bolting seedlings (Supplementary Fig. 9a–d). We found that all three double mutant lines displayed similar rosette leaf numbers to the ft, co, and gi single mutants (Supplementary Fig. 9a–d), and FT expression was upregulated in jmj13 in all early flowering conditions (Supplementary Fig. 9e). The mutations of CO, GI, and FT repressed early flowering in jmj13. These genetic interactions indicate that JMJ13 may crosstalk with GI/CO in flowering time regulation.

Furthermore, we performed RNA-seq for Col and jmj13 grown under 22 °C LD conditions. The expression of SVP decreased in jmj13 compared with wild type (Supplementary Fig. 10a, b), which is consistent with the genetic data. By contrast, the expression of CO, Late Elongated Hypocotyl (LHY) and Circadian Clock Associated 1 (CCA1) was upregulated in jmj13 (Supplementary Fig. 10a, b and Supplementary data 1), indicating that many genes are regulated directly or indirectly by additional mechanisms, such as circadian rhythm. Interestingly, we observed that high temperature and long-day photoperiod induced JMJ13 expression and increase JMJ13 protein accumulation in 7-day-old seedlings (Supplementary Figs. 10c, d and 11). These results suggested that JMJ13 may affect flowering time through temperature- and photoperiod-mediated pathways.

We further analyzed the H3K27me3 levels in Col and jmj13 by chromatin immunoprecipitation followed by sequencing (ChIP-Seq) in different day-length and temperature conditions. However, we did not observe the over-accumulation of H3K27me3 in jmj13 at FLM/SVP and CO/GI and no significant differences between Col and jmj13 were observed at these loci (Supplementary Fig. 12). This may due to the functional redundancy of ELF6, REF6 or other possible H3K27me3 demethylases. These observations are in consistent with recent report that global H3K27me3 levels were strongly elevated only in the triple elf6 ref6 jmj13 mutant in Arabidopsis38.

Discussion

In most eukaryotic genomes, a large proportion of chromatin is enriched with H3K27me3. Erasure of these methyl groups is tightly controlled during development, and as part of acclimation to environmental conditions. Flowering is strictly regulated by various epigenetic factors. For example, we previously showed that the H3K4me3 demethylase JMJ14, and H3K27me3 demethylases REF6 and ELF6 directly regulate flowering integrators FT, FLC, and SOC122,2527. Recently, it was reported that JMJ13, REF6, and ELF6, shape the genome-wide distribution of H3K27me3 and control tissue-specific gene activation38. Global H3K27me3 levels were only increased in the triple elf6 ref6 jmj13 mutant, conforming that JMJ13, REF6, and ELF6 are functional redundant. REF6 plays a major role in determining the distribution of H3K27me3, with ELF6 and JMJ13 apparently supplementing REF6 function38, which partial explained that there is no over-accumulation of H3K27me3 in jmj13. During flowering, REF6 and ELF6 have distinct functions, as ref6 and elf6 mutants have late and early flowering phenotypes, respectively21. Here, we show that JMJ13 represses flowering in a temperature- and day-length-dependent manner in Arabidopsis. JMJ13′s repressive function prevents precocious flowering under unfavorable environmental conditions. Although JMJ13, ELF6, and REF6 are all H3K27me3 demethylases, they each have different functions in Arabidopsis flowering control, indicating that their differential targeting lead to diverse pathways of flowering regulation. Further work would be needed to determine how JMJ13 affects flowering time, which JMJ13 targets that might be phenotypically relevant, and what are the differences and similarities among ELF6, REF6, and JMJ13.

Ambient temperature-dependent, flowering-time control is fine-tuned by multiple pathways in Arabidopsis. A distinct chromatin mark, H3K36me3 has been shown to affect temperature-induced alternative splicing, a major co-transcriptional/post-transcriptional regulatory mechanism to fine-tune ambient temperature-dependent flowering-time in Arabidopsis39,40. Promotion of flowering at higher temperatures has been proposed to counter the unfavorable SD photoperiod41. Here we show that another chromatin mark H3K27me3 can also regulate temperature- and photoperiod-dependent flowering regulation. The H3K27me3 demethylase JMJ13 may negatively modulate temperature-photoperiod compensation by dampening temperature-driven flowering-promotion in the absence of LD induction. LD photoperiod, and especially high temperature, induces JMJ13 mRNA expression and JMJ13 protein accumulation. These results suggest that JMJ13 plays an important role in temperature- and photoperiod-dependent flowering time regulation.

Methods

Plant materials and growth conditions

Arabidopsis plants used in the study were in the Columbia background. Primers for genotyping jmj13 are listed in Supplementary Table 3. Plants were grown in growth chambers under LD conditions (16 h light/8 h dark) or SD conditions (8 h light/16 h dark) at 16 °C, 22 °C and 28 °C, respectively. The rosette leaves number were counted when the seedlings bolting. The mutants used in this study are flm-37, svp-32 (SALK_072930), ft-1 (CS56), co-2 (CS55), gi-3 (CS51), elf6 (SALK_074694), ref6 (SALK_001018), and clf (SALK_139371). The lhp1 mutant used in this study was tfl2-142.

Molecular cloning of JMJ13

To clone the full-length JMJ13 cDNA, we amplified a 2364-bp cDNA fragment from a reverse transcribed cDNA pool derived from Col-0 seedlings. The PCR product was cloned into pENTR/D-TOPO (Invitrogen). A Quik Change Site-Directed Mutagenesis Kit (Stratagene) was used to make the point mutations in JMJ13. The wild-type and mutant JMJ13 coding sequences were introduced into the pEarley-Gate104 vector. Primers used for cloning are listed in Supplementary Table 3.

Transient expression in Nicotiana benthamiana leaves

The constructs for JMJ13, or JMJ13H293A/E295A fused with GFP were transformed into Agrobacterium tumefaciens cells (strain EHA105). These cells were then injected into Nicotiana benthamiana leaves, which were harvested for nuclear isolation and immunostaining or immunoprecipitation after 48 h27.

In vivo histone demethylation assays

Nuclei transfected with JMJ13-GFP or JMJ13H293A/E295A-GFP mutants were visualized by observing the GFP signal under a fluorescence microscope. Immunolabeling was performed by using histone methylation-specific antibodies (H3K27me3, Millipore 07-449; H3K27me2, Millipore 07-452; H3K27me1, Millipore 07-448; H3K4me3, Millipore 07-473; H3K4me2, Millipore 07-030; H3K4me1, Millipore 07-436; H3K9me3, Millipore 07-442; H3K9me2, Millipore 07-441; H3K9me1, Millipore 07-450; H3K36me3, Abcam ab9050; H3K36me2, Millipore 07-274; H3K36me1, Millipore 07-548). All these antibodies were diluted by 1:100. Alexa Fluor 555 or 488-conjugated goat anti-rabbit (1:500, Invitrogen) were used as secondary antibodies to determine the specific lysine modification site in vivo. After incubation with secondary antibody, nuclei on the slide were mounted by one drop of VECTASHIELD Mounting Medium with 4′,6-diamidino-2-phenylindole (DAPI) (Vector Laboratories), then photographed under a fluorescent microscope (Olympus BX51). ImageJ (National Institutes of Health) was used for quantification of the immunolabeled nuclei.

Transcript level analysis

Total RNA was extracted using TRIzol Reagent (Invitrogen) for reverse transcription-PCR (RT-PCR) and real-time quantitative PCR (qPCR) analysis. Real-time qPCR analysis was performed using SYBR Green (CWBIO, CW0760A). Primers used for transcriptional analysis are listed in Supplementary Table 3.

RNA sequencing analysis

Total RNA was isolated from newly fertilized siliques of six weeks seedlings using a TRIzol kit (Invitrogen). Paired-end sequencing libraries with an average insert size of 400 bp were prepared with a TruSeq RNA Sample Preparation Kit v2 (Illumina) and sequenced on the HiSeq2500 (Illumina). Raw data obtained from Illumina sequencing were processed and filtered using the Illumina pipeline (http://www.Illumina.com) to generate FastQ files. Finally, about 8 Gb high-quality 150-bp paired-end reads were generated from each library. FastQC (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/) was initially run to assess the overall quality of all sample reads. Poor quality bases were filtered out using Sickle with parameters “-mode pe; -t sanger–q 20 –l 50” (https://github.com/najoshi/sickle). The quality filtered reads were aligned to the Arabidopsis reference genome using TopHat2 version 2.0.943 with the parameters “-N 3–read-edit-dist 3–segment-mismatches 1 -p 20 -r 0 -g 20–microexon-search–b2-D 20–b2-R 3–no-coverage-search”. HTseq software (http://www-huber.embl.de/users/anders/HTSeq/doc/overview.html) was used to count the number of reads mapped to each of the genes. DEGseq was used for differential expression analysis with the “Fisher’s Exact Test” method44. The genes showing an absolute value of log2 (fold change; jmj13 mutant/WT) ≥ 0.6 and adjusted P value (false discovery rate; FDR) <0.05 were considered as differentially expressed genes.

ChIP sequencing

A total of 2 g of 7-day-old seedlings sample was powdered in liquid nitrogen using a pestle and mortar and fixed with formaldehyde then immunoprecipitated with anti-H3K27me3 (Millipore 07-449), anti-H3 (Abcam; ab1791) antibodies. After decross-linking, proteinase K, and RNase treatment, the immunoprecipitated DNA was purified by phenol/chloroform extraction for the additional experiments including Illumina single-end sequencing22,45. ChIPed DNA was ligated with Illumina single-end genome sequencing adapters and then fragments fractionated, PCR amplified and sequenced according to standard protocols (single-end 36 cycles). ChIP-seq reads were aligned to Arabidopsis genome build TAIR10 by Bowtie 246 using default parameters with a local alignment model. Duplicated reads and low-mapping quality reads were identified and removed with SAMtools47. Enriched intervals were identified by MACS version 2.1.048 with default parameters. Density maps of reads for visualization were based on reads of the 200-bp extension of sequencing reads in the 3ʹ-direction after total reads normalization49.

Western blot assay

Ten-day-old seedlings were ground in liquid nitrogen and the powder was boiled for 5 min in protein sample buffer. The proteins were resolved on a 15% SDS/PAGE gel and transferred onto nitrocellulose membranes (Bio-Rad). Then the membranes probed with anti-H3K27me3 (Millipore 07-449); anti-H3K27me2 (Millipore 07-452); anti-H3K27me1 (Millipore 07-448); anti-H3K4me3 (Millipore 07-473); anti-H3K4me2 (Millipore 07-030); anti-H3K4me1 (Millipore 07-436); anti-H3K9me2 (Millipore 07-441); anti-H3K9me1 (Millipore 07-450); anti-H3K36me3 (Abcam ab9050); anti-H3K36me2 (Millipore 07-274); anti-H3K36me1 (Millipore 07-548); anti-H3 (Abcam ab1791) or anti-GFP (Roche 11814460001) in TBST (137 mM NaCl, 20 mM Tris·HCl pH 7.6, 0.1% Tween-20). After three washes with TBST, the signals were detected with Immobilon Western Chemiluminescent HRP Substrate (Millipore) for histone antibodies or Super Signal West Dura Extended Duration Substrate (Thermo Fisher Scientific) for GFP antibody.

Protein expression and purification

The catalytic fragment of Arabidopsis JMJ13 (JMJ13CD, residues 90–578) was cloned into a pET-Sumo vector to fuse an N-terminal hexahistidine plus yeast sumo tag. The plasmid was transformed into E. coli strain BL21(DE3) RIL and the transformants were cultured at 37 °C in LB medium. When the OD600 of cell culture reached 0.7, the protein expression was induced by adding IPTG to a final concentration of 0.2 mM and the cells were cooled to 20 °C. The recombinant expressed protein was purified using a HisTrap column (GE Healthcare). The hexahistidine plus yeast sumo tag was removed by ulp1 protease digestion followed by a second step HisTrap column (GE Healthcare). The target protein was further purified on Heparin and Superdex G200 columns (GE Healthcare). The untagged JMJ13CD easily precipitates in the in vitro activity assay. We further cloned JMJ13CD into a pMal vector (New England Biolabs) to fuse an MBP tag to the target protein. The MBP-tagged JMJ13CD was expressed in E. coli strain BL21(DE3) RIL with IPTG induction and purified using amylose resin (New England Biolabs), Heparin, and Superdex G200 columns (GE Healthcare). All the mutations were generated using a PCR based method and purified using the same protocol as wild-type protein. The chemicals and peptides were purchased from Sigma-Aldrich and GL Biochem Company, respectively.

Crystallization and structure determination

The purified JMJ13CD was concentrated to a final concentration of 10 mg ml−1 and mixed with α-KG with a molar ratio of 1:4 at 4 °C for one hour. The crystal screening was carried out using sitting-drop vapor diffusion method at 4 °C. The JMJ13-α-KG complex was crystallized in 0.1M MES, pH 6.5, 8% dioxane, and 1.6 M ammonium sulfate. To get crystals of the JMJ13–NOG–H3K27me3 complex, we first grew crystals of JMJ13–NOG in the same conditions as JMJ13–α-KG, and then soaked the crystals with 10 mM H3(24–35)K27me3 peptide for 60 h. All the diffraction data were collected at beamline BL19U1 of the National Center for Protein Sciences Shanghai (NCPSS) at the Shanghai Synchrotron Radiation Facility (SSRF) and processed using the program HKL2000/3000 package50. A summary of the data collection statistics is listed in Supplementary Table 2.

The structure of the JMJ13–α-KG complex was determined using the SAD method with the anomalous signal of the zinc peak as implemented in the program Phenix51. The model building and structure refinement were conducted using the programs Coot and Phenix, respectively51,52. Throughout the refinement, the geometry of the structure was monitored using the program Molprobity53. The structure of the JMJ13-NOG-H3K27me3 complex was solved using the molecular replacement method with the structure of the JMJ13-α-KG complex as the search model and was refined using the same protocol as used for the JMJ13-α-KG complex. Density modification was applied with the program SOLOMON54. A summary of the structure refinement statistics is listed in Supplementary Table 2.

In vitro histone demethylation assay

Since the untagged JMJ13CD easily precipitates during the in vitro assay, we used MBP-tagged JMJ13CD in the assay to increase the stability of the protein. The purified MBP-tagged JMJ13CD or its mutants (10 μM) were incubated with the H3(20–34)K27me3 peptide (80 μM) in a reaction buffer with 80 μM Fe(NH4)2(SO4)2, 2 mM ascorbic acid, 1 mM α-KG, 50 mM Tris-HCl pH 7.3, and 150 mM NaCl at 25 °C. The reaction solution was incubated at 25 °C for 2 h and then was quenched by heating to 95 °C for 3 mins. The reaction mixture was further desalted by ZipTip (Millipore). The eluted peptides were spotted on the MALDI plate and cocrystallized with 10 mg ml−1 α-cyano-4-hydroxycinnamic acid in 60% acetonitrile with 0.1% trifluoroacetic acid (TFA). Then, a 5800 MALDI-TOF/TOF mass spectrometer (ABsciex, Foster City, CA) was used for analyzing the samples. For quantification, peptide mass spectra were recorded in reflector mode from triplicate reactions with each spectrum acquired from 1250 laser shots. The resulting mass spectra were processed by the Data Explorer software.

Reporting Summary

Further information on experimental design is available in the Nature Research Reporting Summary linked to this article.

Supplementary information

Peer Review File (632.2KB, pdf)
41467_2019_9310_MOESM3_ESM.pdf (66.9KB, pdf)

Description of Additional Supplementary Files

Supplementary Data 1 (287.9KB, xlsx)
Reporting Summary (100.3KB, pdf)
Source Data (4.7MB, xlsx)

Acknowledgements

We thank staff at beamline BL19U1 of the National Center for Protein Sciences Shanghai (NCPSS) at the Shanghai Synchrotron Radiation Facility (SSRF) for data collection, the Proteomic Core Facility of Shanghai Center for Plant Stress Biology for assistance with the mass spectrometry experiment, and Markus Schmid for providing the seeds of flm-3 and the FLM-β and FLM-δ transgenic seeds. This work was supported by National Natural Science Foundation of China (31788103 to X. Cao, 31501029 and 31870243 to S.Z., and 31622032 to J.D.), the Chinese Academy of Sciences (Strategic Priority Research Program XDB27030201 and QYZDY-SSW-SMC022 to X. Cao and J.D.), the Guangdong Innovation Research Team Fund (2016ZT06S172) to S.L., the Advanced Talents Foundation of Hebei Education Department (GCC2014002) to D.S., and the National Key Laboratory of Plant Molecular Genetics.

Author Contributions

S.Z., H.H., H.R., Z.L., Q.Q., W.Q., X.L., X.Chen, X.Cui, S.L., and B.Z. performed the experiments and analyzed the data. S.Z., D.S., X.Cao, and J.D. conceived the study, designed the experiments, and wrote the article.

Data availability

X-ray structures have been deposited in the RCSB Protein Data Bank with the accession codes: 6IP0 for the JMJ13–α-KG complex and 6IP4 for the JMJ13–NOG–H3K27me3 complex. RNA-Seq and ChIP-Seq data have been uploaded to NCBI SRA with accession number SRP168443 and SRP174856, respectively. The Source Data underlying Figs. 1, 3, 5, Supplementary Figs. 1, and 510 are provided as a Source Data file.

Competing interests

The authors declare no competing interests.

Footnotes

Journal peer review information: Nature Communications thanks the anonymous reviewers for their contribution to the peer review of this work. Peer reviewer reports are available.

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

These authors contributed equally: Shuzhi Zheng and Hongmiao Hu.

Contributor Information

Daye Sun, Email: dayesun@mail.hebtu.edu.cn.

Xiaofeng Cao, Email: xfcao@genetics.ac.cn.

Jiamu Du, Email: jmdu@sibs.ac.cn.

Supplementary information

Supplementary Information accompanies this paper at 10.1038/s41467-019-09310-x.

References

  • 1.Kim DH, Doyle MR, Sung S, Amasino RM. Vernalization: winter and the timing of flowering in plants. Annu. Rev. Cell. Dev. Biol. 2009;25:277–299. doi: 10.1146/annurev.cellbio.042308.113411. [DOI] [PubMed] [Google Scholar]
  • 2.Song YH, Ito S, Imaizumi T. Flowering time regulation: photoperiod- and temperature-sensing in leaves. Trends Plant. Sci. 2013;18:575–583. doi: 10.1016/j.tplants.2013.05.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Valverde F, et al. Photoreceptor regulation of CONSTANS protein in photoperiodic flowering. Science. 2004;303:1003–1006. doi: 10.1126/science.1091761. [DOI] [PubMed] [Google Scholar]
  • 4.Suarez-Lopez P, et al. CONSTANS mediates between the circadian clock and the control of flowering in Arabidopsis. Nature. 2001;410:1116–1120. doi: 10.1038/35074138. [DOI] [PubMed] [Google Scholar]
  • 5.Sawa M, Nusinow DA, Kay SA, Imaizumi T. FKF1 and GIGANTEA complex formation is required for day-length measurement in Arabidopsis. Science. 2007;318:261–265. doi: 10.1126/science.1146994. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.An H, et al. CONSTANS acts in the phloem to regulate a systemic signal that induces photoperiodic flowering of Arabidopsis. Development. 2004;131:3615–3626. doi: 10.1242/dev.01231. [DOI] [PubMed] [Google Scholar]
  • 7.Balasubramanian S, Sureshkumar S, Lempe J, Weigel D. Potent induction of Arabidopsis thaliana flowering by elevated growth temperature. PLoS. Genet. 2006;2:e106. doi: 10.1371/journal.pgen.0020106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Lee JH, et al. Role of SVP in the control of flowering time by ambient temperature in Arabidopsis. Genes Dev. 2007;21:397–402. doi: 10.1101/gad.1518407. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Pose D, et al. Temperature-dependent regulation of flowering by antagonistic FLM variants. Nature. 2013;503:414–417. doi: 10.1038/nature12633. [DOI] [PubMed] [Google Scholar]
  • 10.Lee JH, et al. Regulation of temperature-responsive flowering by MADS-box transcription factor repressors. Science. 2013;342:628–632. doi: 10.1126/science.1241097. [DOI] [PubMed] [Google Scholar]
  • 11.Halliday KJ, Salter MG, Thingnaes E, Whitelam GC. Phytochrome control of flowering is temperature sensitive and correlates with expression of the floral integrator FT. Plant J. 2003;33:875–885. doi: 10.1046/j.1365-313X.2003.01674.x. [DOI] [PubMed] [Google Scholar]
  • 12.Balasubramanian S, Weigel D. Temperature induced flowering in Arabidopsis thaliana. Plant Signal. Behav. 2006;1:227–228. doi: 10.4161/psb.1.5.3452. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Kumar SV, et al. Transcription factor PIF4 controls the thermosensory activation of flowering. Nature. 2012;484:242–245. doi: 10.1038/nature10928. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Kumar SV, Wigge PA. H2A.Z-containing nucleosomes mediate the thermosensory response in Arabidopsis. Cell. 2010;140:136–147. doi: 10.1016/j.cell.2009.11.006. [DOI] [PubMed] [Google Scholar]
  • 15.Yan Y, et al. A MYB-domain protein EFM mediates flowering responses to environmental cues in Arabidopsis. Dev. Cell. 2014;30:437–448. doi: 10.1016/j.devcel.2014.07.004. [DOI] [PubMed] [Google Scholar]
  • 16.He Y. Chromatin regulation of flowering. Trends Plant. Sci. 2012;17:556–562. doi: 10.1016/j.tplants.2012.05.001. [DOI] [PubMed] [Google Scholar]
  • 17.Martin C, Zhang Y. The diverse functions of histone lysine methylation. Nat. Rev. Mol. Cell Biol. 2005;6:838–849. doi: 10.1038/nrm1761. [DOI] [PubMed] [Google Scholar]
  • 18.Liu C, Lu F, Cui X, Cao X. Histone methylation in higher plants. Annu. Rev. Plant. Biol. 2010;61:395–420. doi: 10.1146/annurev.arplant.043008.091939. [DOI] [PubMed] [Google Scholar]
  • 19.Lu F, et al. Comparative analysis of JmjC domain-containing proteins reveals the potential histone demethylases in Arabidopsis and rice. J. Integr. Plant Biol. 2008;50:886–896. doi: 10.1111/j.1744-7909.2008.00692.x. [DOI] [PubMed] [Google Scholar]
  • 20.Mosammaparast N, Shi Y. Reversal of histone methylation: biochemical and molecular mechanisms of histone demethylases. Annu. Rev. Biochem. 2010;79:155–179. doi: 10.1146/annurev.biochem.78.070907.103946. [DOI] [PubMed] [Google Scholar]
  • 21.Noh B, et al. Divergent roles of a pair of homologous jumonji/zinc-finger-class transcription factor proteins in the regulation of Arabidopsis flowering time. Plant Cell. 2004;16:2601–2613. doi: 10.1105/tpc.104.025353. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Cui X, et al. REF6 recognizes a specific DNA sequence to demethylate H3K27me3 and regulate organ boundary formation in Arabidopsis. Nat. Genet. 2016;48:694–699. doi: 10.1038/ng.3556. [DOI] [PubMed] [Google Scholar]
  • 23.Li C, et al. Concerted genomic targeting of H3K27 demethylase REF6 and chromatin-remodeling ATPase BRM in Arabidopsis. Nat. Genet. 2016;48:687–693. doi: 10.1038/ng.3555. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Yang Z, et al. Structure of the Arabidopsis JMJ14-H3K4me3 complex provides insight into the substrate specificity of KDM5 subfamily histone demethylases. Plant Cell. 2018;30:167–177. doi: 10.1105/tpc.17.00666. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Lu F, Cui X, Zhang S, Jenuwein T, Cao X. Arabidopsis REF6 is a histone H3 lysine 27 demethylase. Nat. Genet. 2011;43:715–719. doi: 10.1038/ng.854. [DOI] [PubMed] [Google Scholar]
  • 26.Crevillen P, et al. Epigenetic reprogramming that prevents transgenerational inheritance of the vernalized state. Nature. 2014;515:587–590. doi: 10.1038/nature13722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Lu F, Cui X, Zhang S, Liu C, Cao X. JMJ14 is an H3K4 demethylase regulating flowering time in Arabidopsis. Cell Res. 2010;20:387–390. doi: 10.1038/cr.2010.27. [DOI] [PubMed] [Google Scholar]
  • 28.Johansson C, et al. Structural analysis of human KDM5B guides histone demethylase inhibitor development. Nat. Chem. Biol. 2016;12:539–545. doi: 10.1038/nchembio.2087. [DOI] [PubMed] [Google Scholar]
  • 29.Vinogradova M, et al. An inhibitor of KDM5 demethylases reduces survival of drug-tolerant cancer cells. Nat. Chem. Biol. 2016;12:531–538. doi: 10.1038/nchembio.2085. [DOI] [PubMed] [Google Scholar]
  • 30.Hou H, Yu H. Structural insights into histone lysine demethylation. Curr. Opin. Struct. Biol. 2010;20:739–748. doi: 10.1016/j.sbi.2010.09.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Sengoku T, Yokoyama S. Structural basis for histone H3 Lys 27 demethylation by UTX/KDM6A. Genes Dev. 2011;25:2266–2277. doi: 10.1101/gad.172296.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Kruidenier L, et al. A selective jumonji H3K27 demethylase inhibitor modulates the proinflammatory macrophage response. Nature. 2012;488:404–408. doi: 10.1038/nature11262. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Xiao J, Lee US, Wagner D. Tug of war: adding and removing histone lysine methylation in Arabidopsis. Curr. Opin. Plant. Biol. 2016;34:41–53. doi: 10.1016/j.pbi.2016.08.002. [DOI] [PubMed] [Google Scholar]
  • 34.Gaudin V, et al. Mutations in LIKE HETEROCHROMATIN PROTEIN 1 affect flowering time and plant architecture in Arabidopsis. Development. 2001;128:4847–4858. doi: 10.1242/dev.128.23.4847. [DOI] [PubMed] [Google Scholar]
  • 35.Yang H, Howard M, Dean C. Physical coupling of activation and derepression activities to maintain an active transcriptional state at FLC. Proc. Natl. Acad. Sci. USA. 2016;113:9369–9374. doi: 10.1073/pnas.1605733113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Goodrich J, et al. A Polycomb-group gene regulates homeotic gene expression in Arabidopsis. Nature. 1997;386:44–51. doi: 10.1038/386044a0. [DOI] [PubMed] [Google Scholar]
  • 37.Schubert D, et al. Silencing by plant Polycomb-group genes requires dispersed trimethylation of histone H3 at lysine 27. EMBO J. 2006;25:4638–4649. doi: 10.1038/sj.emboj.7601311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Yan W, et al. Dynamic and spatial restriction of Polycomb activity by plant histone demethylases. Nat. Plants. 2018;4:681–689. doi: 10.1038/s41477-018-0219-5. [DOI] [PubMed] [Google Scholar]
  • 39.Pajoro A, Severing E, Angenent GC, Immink RGH. Histone H3 lysine 36 methylation affects temperature-induced alternative splicing and flowering in plants. Genome Biol. 2017;18:102. doi: 10.1186/s13059-017-1235-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Steffen A, Staiger D. Chromatin marks and ambient temperature-dependent flowering strike up a novel liaison. Genome Biol. 2017;18:119. doi: 10.1186/s13059-017-1259-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Li L, Li X, Liu Y, Liu H. Flowering responses to light and temperature. Sci. China Life Sci. 2016;59:403–408. doi: 10.1007/s11427-015-4910-8. [DOI] [PubMed] [Google Scholar]
  • 42.Larsson AS, Landberg K, Meeks-Wagner DR. The TERMINAL FLOWER2 (TFL2) gene controls the reproductive transition and meristem identity in Arabidopsis thaliana. Genetics. 1998;149:597–605. doi: 10.1093/genetics/149.2.597. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Kim D, et al. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biol. 2013;14:R36. doi: 10.1186/gb-2013-14-4-r36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Wang L, Feng Z, Wang X, Wang X, Zhang X. DEGseq: an R package for identifying differentially expressed genes from RNA-seq data. Bioinformatics. 2010;26:136–138. doi: 10.1093/bioinformatics/btp612. [DOI] [PubMed] [Google Scholar]
  • 45.Zhang, S. etal. C-terminal domains of a histone demethylase interact with a pair of transcription factors and mediate specific chromatin association. Cell Discov.1, 15003 (2015). [DOI] [PMC free article] [PubMed]
  • 46.Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat. Methods. 2012;9:357–359. doi: 10.1038/nmeth.1923. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Li H, et al. The sequence Alignment/Map format and SAMtools. Bioinformatics. 2009;25:2078–2079. doi: 10.1093/bioinformatics/btp352. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Zhang Y, et al. Model-based analysis of ChIP-Seq (MACS) Genome Biol. 2008;9:R137. doi: 10.1186/gb-2008-9-9-r137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Ernst J, et al. Mapping and analysis of chromatin state dynamics in nine human cell types. Nature. 2011;473:43–49. doi: 10.1038/nature09906. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Otwinowski Z, Minor W. Processing of X-ray diffraction data collected in oscillation mode. Methods Enzymol. 1997;276:307–326. doi: 10.1016/S0076-6879(97)76066-X. [DOI] [PubMed] [Google Scholar]
  • 51.Adams PD, et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D. Biol. Crystallogr. 2010;66:213–221. doi: 10.1107/S0907444909052925. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Emsley P, Lohkamp B, Scott WG, Cowtan K. Features and development of Coot. Acta Crystallogr. D. Biol. Crystallogr. 2010;66:486–501. doi: 10.1107/S0907444910007493. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Chen VB, et al. MolProbity: all-atom structure validation for macromolecular crystallography. Acta Crystallogr. D. Biol. Crystallogr. 2010;66:12–21. doi: 10.1107/S0907444909042073. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Abrahams JP, Leslie AG. Methods used in the structure determination of bovine mitochondrial F1 ATPase. Acta Crystallogr. D. Biol. Crystallogr. 1996;52:30–42. doi: 10.1107/S0907444995008754. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Peer Review File (632.2KB, pdf)
41467_2019_9310_MOESM3_ESM.pdf (66.9KB, pdf)

Description of Additional Supplementary Files

Supplementary Data 1 (287.9KB, xlsx)
Reporting Summary (100.3KB, pdf)
Source Data (4.7MB, xlsx)

Data Availability Statement

X-ray structures have been deposited in the RCSB Protein Data Bank with the accession codes: 6IP0 for the JMJ13–α-KG complex and 6IP4 for the JMJ13–NOG–H3K27me3 complex. RNA-Seq and ChIP-Seq data have been uploaded to NCBI SRA with accession number SRP168443 and SRP174856, respectively. The Source Data underlying Figs. 1, 3, 5, Supplementary Figs. 1, and 510 are provided as a Source Data file.


Articles from Nature Communications are provided here courtesy of Nature Publishing Group

RESOURCES