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. 2020 Nov 30;3:725. doi: 10.1038/s42003-020-01456-5

Lysine demethylase 7a regulates murine anterior-posterior development by modulating the transcription of Hox gene cluster

Yoshiki Higashijima 1,2,9, Nao Nagai 3, Masamichi Yamamoto 4,10, Taro Kitazawa 5,6, Yumiko K Kawamura 5,6, Akashi Taguchi 2, Natsuko Nakada 2, Masaomi Nangaku 7, Tetsushi Furukawa 1, Hiroyuki Aburatani 8, Hiroki Kurihara 6, Youichiro Wada 2, Yasuharu Kanki 2,11,
PMCID: PMC7704666  PMID: 33257809

Abstract

Temporal and spatial colinear expression of the Hox genes determines the specification of positional identities during vertebrate development. Post-translational modifications of histones contribute to transcriptional regulation. Lysine demethylase 7A (Kdm7a) demethylates lysine 9 or 27 di-methylation of histone H3 (H3K9me2, H3K27me2) and participates in the transcriptional activation of developmental genes. However, the role of Kdm7a during mouse embryonic development remains to be elucidated. Herein, we show that Kdm7a−/− mouse exhibits an anterior homeotic transformation of the axial skeleton, including an increased number of presacral elements. Importantly, posterior Hox genes (caudally from Hox9) are specifically downregulated in the Kdm7a−/− embryo, which correlates with increased levels of H3K9me2, not H3K27me2. These observations suggest that Kdm7a controls the transcription of posterior Hox genes, likely via its demethylating activity, and thereby regulating the murine anterior-posterior development. Such epigenetic regulatory mechanisms may be harnessed for proper control of coordinate body patterning in vertebrates.

Subject terms: Histone post-translational modifications, Body patterning


Higashijima et al show that mice lacking the Kdm7a demethylase exhibits anterior homeotic transformation of the axial skeleton and downregulation of posterior Hox gene transcription and these changes are associated with increased H3K9me2 at posterior Hox loci. These findings provide insights into the epigenetic control of Hox-mediated patterning in embryogenesis.

Introduction

Hox genes, which encode a family of homeodomain-containing transcription factors, are essential for the patterning of the anterior-to-posterior animal body axis during development. In mammals, the 39 Hox genes are divided into four clusters (Hoxa, Hoxb, Hoxc, and Hoxd) on four different chromosomes and consist of up to 13 paralogous groups. In each cluster, the Hox genes are arranged in tandem, from 3′ to 5′ (Hox1 to Hox13). The 3′-paralogs are sequentially activated earlier than the 5′-paralogs along the anterior–posterior axis, a phenomenon that is called Hox temporal collinearity. This property of Hox expression confers special positional identities of the body segments, yet the underlying molecular mechanism is elusive. Hox transcription is switched on by retinoic acid signaling and morphogenic proteins, including Wnt and Fgf1. Once the transcription starts, the newly activated Hox gene loci progressively cluster into a transcriptionally active chromatin compartment13. Such transition in the spatial configuration coincides with the dynamics of chromatin histone marks, from a repressive state (tri-methylation of histone H3 lysine 27, H3K27me3) to a transcription-permissive state (tri-methylation of histone H3 lysine 4, H3K4me3)4.

Polycomb group (PcG) proteins and the associated H3K27me3 mark maintain the state of transcriptional repression and gene silencing. Ezh2, a core component of the polycomb-repressive complex 2 (PRC2) is responsible for the methylation of H3K27me3. The Hox gene clusters are the best characterized PcG and H3K27me3 targets57. Indeed, mutation of the PcG genes induces ectopic Hox expression, resulting in a posterior transformation of the axial skeleton in mouse8. On the other hand, jumonji C (JmjC) domain-containing proteins, Utx and Jmjd3, specifically demethylate H3K27me2/3, and are involved in transcriptional activation of the Hox genes9,10. Although catalytic action of Utx has been implicated in the regulation of expression of the Hox genes during zebrafish development9, it has been recently demonstrated that mouse with catalytically inactive Jmjd3, but not an Utx mutant, exhibits anterior homeotic transformation associated with a downregulation of Hox genes11.

Di-methylation of histone H3 lysine 9 (H3K9me2), another repressive histone mark, is methylated by SET domain-containing proteins, G9a (encoded by Ehmt2) and GLP (encoded by Ehmt1)1214. H3K9me2 is the most abundant heterochromatic histone modification, and covers large genomic domains in differentiated cells and in embryonic stem (ES) cells1517. These domains are specifically associated with lamina-associated domains (LADs), characterized as transcriptionally repressive heterochromatin located within the nuclear peripheral region. A negative correlation between H3K9me2 deposition and gene expression is observed therein. During mouse embryogenesis, repressed Hox genes labeled by the H3K27me3 marks are located at a spatial domain distinct from the peripheral LADs18. Consistently, the association of genomic occupancies of H3K9me2 and H3K27me3 is mutually exclusive during the differentiation of the mouse ES cells15,19. Indeed, to the best of our knowledge, the functional relationship between Hox gene expression and the H3K9me2 histone mark has not been ruled out to date.

Another JmjC domain-containing protein, lysine demethylase 7A (Kdm7a), also known as Jhdm1d, contains a plant homeodomain (PHD), and is responsible for the demethylation of H3K9me2 and H3K27me220,21. Kdm7a is predominantly expressed in mouse brain tissues21. Inhibition of a Kdm7a ortholog in zebrafish leads to developmental brain defects21. In mammalian neuronal cells, Kdm7a binds to the gene locus of follistatin, an antagonist of activin, which plays an important role in brain development. Kdm7a depletion suppresses the transcription of the gene, in association with increased levels of demethylated H3K9 and H3K2721. In addition, Kdm7a promotes neural differentiation of mouse ES cells by transcriptional activation of Fgf4, a signal molecule implicated in neural differentiation20. Knockdown of Kdm7a decreases Fgf4 expression, which correlates with the enriched coverage of both H3K9me2 and H3K27me220. Furthermore, Kdm7a ortholog is predominantly expressed in epiblast cells of the primitive streak and promotes neural induction in an early chick embryo22. However, the biological role of Kdm7a during mouse development has not yet been reported.

Here, we report that Kdm7a−/− mutant mouse exhibits anterior homeotic transformation of the axial skeleton and downregulation of the transcription of posterior Hox genes during embryogenesis. Importantly, these changes in gene expression are associated with increased H3K9me2 but not H3K27me2 at the relevant posterior Hox loci. These observations demonstrate an essential role of Kdm7a on Hox gene regulation in vivo. Further, they provide evidence for the role of epigenetic histone mark H3K9me2 in the maintenance of Hox gene regulation during embryonic development in mouse.

Results

Construction of a Kdm7a−/− mouse by CRISPR/Cas9-mediated gene targeting

To disrupt the enzyme function of Kdm7a, we used a CRISPR/Cas9-based strategy to introduce a frameshift mutation at the start of the JmjC domain in Kdm7a. Because there are no suitable protospacer-adjacent motif (PAM) sequences in exon5 of the region encoding the JmjC domain, we designed single-guide RNAs (sgRNAs) located in exon6 of the region encoding the JmjC domain (Fig. 1a). To determine the optimal sgRNA sequence, we co-transfected HeLa cells with the pCAG-EGxxFP-target and pX330-sgRNA plasmids. We monitored the reconstituted enhanced green fluorescent protein (EGFP) fluorescence 48 h after transfection. Cetn1 was used as a positive control23. Although both sgRNA867 and sgRNA868 effectively cleaved the target site of pCAG-EGxxFP-Kdm7a, sgRNA868 worked slightly better than sgRNA867. We therefore selected sgRNA868 for further in vivo genome editing (Supplementary Fig. 1a).

Fig. 1. Kdm7a regulates the anterior–posterior patterning of the axial skeleton in mouse.

Fig. 1

a Schematic of the Cas9/sgRNA-targeting sites in Kdm7a. The sgRNA-targeting sequence is underlined, and the protospacer-adjacent motif (PAM) sequence is labeled in red. The restriction sites in the target regions are bold and capitalized. Restriction enzymes used for restriction fragment length polymorphism (RFLP) are shown, and JmjC domain is shown as green boxes. b Amino acid (AA) sequence of Kdm7a KO mice from ICR or C57BL/6 backgrounds. All mutant mice carried frameshift mutation; the number of deleted nucleotides and total AA are shown. Normal and abnormal AA in the JmjC domain are highlighted with green and yellow, respectively. *Indicates termination of translation. His284 at Fe(II)-binding site, a core catalytic AA for demethylase catalytic activity21 is described in red. c Patterning defects in the axial skeleton of Kdm7a KO ICR background mouse. In Kdm7a−/− mice, the first lumbar (L1), the first sacral (S1) and the first coccygeal (Co1) vertebrae were transformed into thoracic (T14*), lumbar (L7*) and sacral (S5*) elements, respectively. In Kdm7a+/− mice, only L1 was transformed into thoracic (T14*) element. d Homeotic transformation in the axial skeleton of Kdm7a KO C57BL/6 mouse. In Kdm7a−/− mice, L1, S1 and Co1 were transformed into thoracic (T14*), lumbar (L7*) and sacral (S5*) elements, respectively. Kdm7a+/− background showed no patterning defects. e Summary of the patterning defects identified across Kdm7a mutant alleles in the ICR and C57BL/6 backgrounds. An asterisk indicates a homeotic transformation of the vertebral element.

Accordingly, we co-injected Cas9 mRNA with sgRNA868 into pronuclear stage one-cell mouse embryos. The blastocysts derived from the injected embryos were then transplanted into foster mothers and newborn pups were obtained. Mice carrying the targeted mutations (chimera mice) were crossbred with the wild-type and heterozygous mice were obtained. Representative results of the restriction fragment length polymorphism (RFLP) analysis are shown in Supplementary Fig. 1b. We then amplified the Kdm7a-targeted regions by polymerase chain reaction (PCR), and subcloned and sequenced the PCR products, to confirm that the tested mice carried the mutant alleles with small deletions at the target site (Supplementary Fig. 1c). Since the phenotypes of mutant mice can differ between genetic backgrounds, especially for epigenetic factors24,25, we generated Kdm7a mutant mice in both, ICR and C57BL/6 backgrounds and these mutant mice were used for subsequent analysis in vivo. Importantly, all mutant mice carried the frameshift mutations resulted in truncated Kdm7a proteins that lacked the core catalytic amino acid for its demethylase activity (His284 at Fe(II)-binding site) (Fig. 1b)21.

Kdm7a regulates the anterior–posterior patterning of the axial skeleton in mouse

The Kdm7a mutant newborns appeared grossly normal. Considering that epigenetic factors, including histone demethylases, are associated with the anterior–posterior patterning11,2628, we investigated whether Kdm7a plays a role in the animal body patterning. To this end, we generated whole-mount skeletal preparations of postnatal day 1 wild-type and Kdm7a mutant mice. As anticipated, all wild-type mice demonstrated the normal configuration of the axial skeleton, with 7 cervical, 13 thoracic, 6 lumbar and 4 sacral vertebrae (five out of five animals and 12 out of 12 animals from the ICR and C57BL/6 background, respectively) (Fig. 1c–e; Tables 1 and 2). By contrast, in all Kdm7a−/− mice displayed an anterior homeotic transformation of vertebral elements. The first lumber vertebra (L1) transformed into the thoracic element (T14*) gaining the ectopic ribs, and the 1st sacral (S1) and coccygeal (Co1) vertebrae showed transformation to lumbar (L7*) and sacral (S5*) identities with the loss and gain of connections to the pelvic girdle, respectively (all animals from both the ICR and C57BL/6 background) (Fig. 1c–e; Tables 1 and 2). Of note, even heterozygous mutant mice from ICR background exhibited an anteriorization of L1 into the thoracic element (T14*) (four out of five animals), while those from C57BL/6 background showed no difference from the normal vertebral disposition (all animals) (Fig. 1c–e; Tables 1 and 2), suggesting that the ICR genetic background has a much stronger influence on the anterior–posterior patterning in Kdm7a mutant mouse than the C57BL/6 background. Nonetheless, Kdm7a mutant mice showed the anterior homeotic transformation of the axial skeleton regardless of the genetic background (schematized in Fig. 1e). Considering that an ICR mouse is a non-inbred strain and genetically heterogeneous, we decided to conduct further detailed genetic analysis involving C57BL/6 mice.

Table 1.

Axial skeletal phenotypes of Kdm7a mutant mice (ICR background).

Wild-type Hetero Homo
Animal number 5 5 11
Vertebral pattern

T:L:S = 13:6:4

(T1–T13, L1–L6, S1–S4)

100% 0% 0%

T:L:S = 14:5:4

(T1–T14*, L2–L6, S1–S4)

0% 80% 0%

T:L:S = 14:6:4

(T1–T14*, L2–L7*, S2–S5*)

0% 20% 100%

Table 2.

Axial skeletal phenotypes of Kdm7a mutant mice (C57BL/6 background).

Wild-type Hetero Homo
Animal number 12 11 8
Vertebral pattern

T:L:S = 13:6:4

(T1–T13, L1–L6, S1–S4)

100% 100% 0%

T:L:S = 14:5:4

(T1–T14*, L2–L6, S1–S4)

0% 0% 0%

T:L:S = 14:6:4

(T1–T14*, L2–L7*, S2–S5*)

0% 0% 100%

Kdm7a is involved in the regulation of Hox gene expression

Loss-of-function of the murine Hox genes classically causes an anterior homeotic transformation29. Hence, we next examined the expression of Hox genes during embryogenesis by RNA sequencing (RNA-Seq). In the experiments, wild-type and Kdm7a mutant embryos at E9.5 and E10.5 were divided at the level of the otic vesicle (hereafter referred to as the “trunk”) (beige-colored in Fig. 2a). The embryonic trunk at this developmental stage is a region in which the Hox genes are predominantly expressed2. Data for three biological replicates of RNA-Seq analyses were highly correlated (Supplementary Fig. 2a). The analysis revealed that 73 and 2 genes were differentially expressed between the wild-type and Kdm7a−/− embryos at E9.5 and E10.5, respectively (padj <0.05; Fig. 2b; Supplementary Fig. 2b; Supplementary Data 1). A decreased expression of Kdm7a was detected in Kdm7a−/− embryo, which was probably associated with a nonsense-mediated mRNA decay30. Of note, many of the genes, including Hox, were downregulated in the Kdm7a−/− embryo, suggesting the possible role of Kdm7a in transcriptional activation (Fig. 2b; Supplementary Fig. 2b; Supplementary Data 1). This was consistent with a previous study showing that genetic ablation of H3K9me2 methyltransferase G9a resulted in the activation of many genes (upregulation of 147 and downregulation of 33 transcripts)19. As anticipated, gene ontology (GO) analysis and Ingenuity Pathway Analysis (IPA) of 73 differentially expressed genes, excluding Kdm7a, revealed a significant enrichment of the “skeletal system development”, “anterior/posterior pattern specification”, and “development of body axis” processes (Fig. 2c, d). In addition, the characteristics of these differentially expressed genes were related to the component “nucleus”, the function “sequence-specific DNA binding”, and the sequence domain “HOX” and “Homeobox, conserved site”. This indicated that Kdm7a participates in the regulation of the developmental transcription factors, including Hox (Fig. 2c–e). The expression of other H3K9 and H3K27 histone methyltransferases and demethylases including Jmjd1a, G9a, Ezh2, and Utx was not altered (Supplementary Data 2), suggesting that the downregulation of Hox genes observed in Kdm7a−/− embryos may have not been caused by a secondary effect of transcriptional changes in other histone methyltransferases or demethylases.

Fig. 2. Kdm7a is involved in the regulation of Hox gene expression.

Fig. 2

a Schematic of E9.5 and E10.5 mouse embryo microdissection. Hox genes are located in tandem along a chromosomal locus, and are sequentially activated along the anterior–posterior axis during embryogenesis. The posterior part of the embryo (beige; referred to as the “trunk”) was used for RNA sequencing (RNA-Seq) and quantitative polymerase chain reaction (qPCR) analysis. A and P indicate anterior and posterior, respectively. The described numbers indicate the number of Hox genes. b Volcano plots showing differentially expressed genes in the wild-type and Kdm7a−/− embryos (n = 3 for each genotype) at E9.5 The X- and Y-axes indicate the log2 fold-change and –log10 adjusted P-value (padj) produced by DESeq2, respectively. Genes with padj < 0.05 are indicated as red (increase) and blue (decrease) spots. ce Gene ontology (GO) analysis (c), Ingenuity Pathway Analysis (IPA) (d), and domain prediction analysis (InterPro and SMRT) (e) of 73 differentially expressed genes in Kdm7a−/− mouse, as determined in (b). The P-values for each category are shown in the bar graphs. f Heatmaps showing the log2 fold-change expression differences (determined by DESeq2) in Hox genes between the wild-type and Kdm7a−/− embryos at E9.5 and E10.5. Red to blue coloring indicates the fold-change. (g) qPCR analysis comparing the expression of Hox genes between wild-type and Kdm7a−/− embryos at E9.5 (top; n = 5 for each genotype) and E10.5 (bottom; n = 4 for each genotype). The average number of somites in the wild-type and Kdm7a−/− was 26 and 24 at E9.5, respectively, and 39 and 42 at E10.5, respectively (there were no statistically significant differences between the wild-type and Kdm7a−/− embryos). Data are shown as means ± SE. *P < 0.05 compared with the wild-type. Statistical differences were analyzed by the Student’s t test. h Whole-mount in situ hybridization of Hoxd9 (top) and Hoxd10 (bottom) mRNA in the wild-type (left) and Kdm7a−/− (right) embryos at E9.5. The numbers of Kdm7a−/− embryos presenting decreased levels of Hox gene expression are indicated.

Interestingly, when we focused on all (39) Hox genes, we observed that the posterior Hox genes were downregulated, while there were no differences in the expression in the anterior Hox genes in the Kdm7a−/− embryo compared with the wild-type (Fig. 2f). Quantitative PCR (qPCR) analysis confirmed that the expression of the majority of posterior Hox genes (Hoxb6; c9; d9; a10; c10; d10; a11; c11; d11; d12; and d13 for E9.5; and Hoxd8; c10; a11; c11; d12; a13; c13; and d13 for E10.5) was significantly decreased in the Kdm7a−/− embryo (Fig. 2g). By using whole-mount in situ hybridization, we examined the localization of Hoxd9 and Hoxd10 mRNA in embryos at E9.5. Although the transcript levels of Hoxd9 and Hoxd10 were decreased in the Kdm7a−/− embryos compared with wild-type, their spatial distribution was not altered (Fig. 2h), which was in line with a previous report showing that Jmjd3 regulates Hox gene expression levels but not its spatial distrubution11. In addition, whole-mount in situ hybridization further revealed that, in wild-type embryos at E8.5, the expression of Kdm7a was observed in the primitive streak and presomitic mesoderm, where Hox9-10 genes were started to be activated during development31 (Supplementary Fig. 3). This could be consistent with a previous report showing Kdm7a began to express in developmental head and tailbud of zebrafish at 24 post-fertilization, which is corresponding to E8.5 of mice21. Collectively, these findings support a functional role of Kdm7a-mediated transcriptional control, especially of the posterior Hox genes.

H3K9me2 methylation is involved in the regulation of Hox genes

Kdm7a-mediated demethylation of the repressive histone marks H3K9me2 and H3K27me2 correlates with active gene expression20,21. Therefore, we hypothesized that the transcriptional activation/repression of Hox genes during the anterior–posterior patterning would be associated with decreased/increased levels of H3K9me2 and H3K27me2. To test this hypothesis, we characterized the epigenetic landscape in the Hox-inactive developmental brain32 (hereafter referred to as the “head”) versus Hox-active developmental trunk (Supplementary Fig. 5a). Although the expression of Hox genes is more subject to change at E9.5 than E10.5, we selected the latter time point due to the requirement for a large number of cells for the chromatin immunoprecipitation (ChIP) analysis. Biological replicates of ChIP-Seq analyses were highly correlated (Supplementary Fig. 4a–d). Consistent with a previous report4, we observed, in the developmental trunk where Hox genes are actively transcribed, the entire deposition of an active histone mark, H3K4me3, at a representative Hoxa cluster that was paralleled by relatively low enrichment of repressive histone mark, H3K27me3. Conversely, H3K27me3 covered the entire Hoxa gene cluster in the developmental head, where Hox genes are inactive, which was associated with extremely low enrichment of H3K4me3 (Supplementary Fig. 5b, c). Importantly, we observed a higher enrichment of H3K9me2 in the head compared to the trunk at the representative Hoxa cluster, while these for H3K27me2 were not altered. For more quantitative comparison, ChIP-Seq signals were normalized using input libraries, and average heatmap of input-normalized ChIP-Seq signals for H3K9me2 further revealed higher enrichment of H3K9me2 at almost all Hox genes in the head regions compared to the trunk (Supplementary Fig. 5d). Furthermore, ChIP followed by qPCR confirmed an increase in H3K9me2 and H3K27me3 levels and a decrease in H3K4me3 levels in the vicinity of the transcription start site (TSS) of Hoxa3 and Hoxa13, but no changes at the actin beta (Actb) site (Supplementary Fig. 5e). Nevertheless, we detected no differences in H3K27me2 between the head and trunk (Supplemental Fig. 5e), suggesting that Kdm7a might not regulate Hox genes expression through H3K27me2-mediated mechanisms.

We next examined whether ablation of Kdm7a affected the epigenetic landscape at the Hox genes in the developmental trunk regions (Fig. 3a). ChIP-Seq analysis demonstrated relatively high occupancy of H3K9me2 at the representative Hoxa locus in the Kdm7a−/− embryonic trunk compared to wild-type, but no differences in the levels of H3K27me2 (Fig. 3b, c). Despite the fact that opposed labeling of H3K4me3 and H3K27me3 is involved in the regulation of Hox genes during development4, there were no obvious differences in the levels of H3K4me3 and H3K27me3 between the wild-type and Kdm7a−/− embryonic trunk (Fig. 3b, c). In accordance with the mRNA expression data (Fig. 2f, g), average heatmap of input-normalized ChIP-Seq signals for H3K9me2 further revealed that H3K9me2 coverage was moderately enriched at the posterior Hox genes in the Kdm7a−/− embryo in comparison with the wild-type (Fig. 3d). Consistently, ChIP followed by qPCR showed an increase in H3K9me2 levels in the vicinity of the TSS of Hoxa3 and Hoxa13, but no changes at Actb (Fig. 3e). We repeatedly detected no differences in H3K4me3, H3K27me2, and H3K27me3 levels between the wild-type and the Kdm7a−/− trunk at Actb, Hoxa3, and Hoxa13 loci in ChIP followed by qPCR analysis (Fig. 3e). Taken together, these observations suggest the possibility that Kdm7a-mediated regulation of the repressive histone mark H3K9me2 might be involved in transcriptional activation of the Hox genes.

Fig. 3. H3K9me2 methylation is involved in the regulation of Hox genes.

Fig. 3

a Developmental trunks from the wild-type or Kdm7a−/− embryos at E10.5 (beige) were used for chromatin immunoprecipitation (ChIP)-Seq and ChIP-qPCR. b, c Gene tracks of ChIP-Seq signals for H3K4me3, H3K9me2, H3K27me2, and H3K27me3 close to the Hoxa cluster in the trunk-region of the wild-type and Kdm7a−/− embryos. ChIP-Seq signals were visualized using Integrative Genomics Viewer (http://software.broadinstitute.org/software/igv/) on the separate (b) and overlay (c) view. d Heatmaps showing the average log2 fold-change of input-normalized H3K9me2 ChIP-Seq signals in the Hox genes between the trunk regions from the wild-type and Kdm7a−/− embryos. Red to blue coloring indicates the fold-change. A and P indicate anterior and posterior, respectively. *indicates Hox genes that were significantly downregulated in E10.5 Kdm7a−/− embryos determined by qPCR (Fig. 2g). e ChIP-qPCR of H3K4me3, H3K9me2, H3K27me2, H3K27me3, and total H3 at the Actb, Hoxa3, and Hoxa13 TSS in the trunk regions of the wild-type and Kdm7a−/− embryos, normalized to input. Graphs are representative of two or three independent experiments. The data represent means from n = 3 technical replicates; independent experiments were repeated two or three times with similar results.

Discussion

Histone-modifying enzymes have been recognized as key players during early development and differentiation, as well as various diseases. Kdm7a, a histone demethylase for H3K9me2 and H3K27me2, is reportedly involved in neural differentiation of mouse ES cells and in brain development in zebrafish20,21. In addition, Kdm7a is highly induced in cancer cells in response to nutrient starvation and is associated with tumor suppression, by modulating tumor angiogenesis33. However, its role in mouse development has not been elucidated. We report here the generation and characterization of a previously undescribed Kdm7a mouse mutant. We provide the evidence that Kdm7a is involved in the activation of the posterior Hox gene expression, and subsequent patterning of the anterior–posterior body axis, in vivo. Since we observed increased levels of H3K9me2 but not H3K27me2 at the relevant posterior Hox loci in the Kdm7a mutant embryo, we propose that Kdm7a modulates the developmental Hox gene activation by regulating the repressive histone mark H3K9me2 (Fig. 4).

Fig. 4. A schematic model of epigenetic regulation by Kdm7a during developmental Hox genes activation.

Fig. 4

Posterior Hox genes are specifically down-regulated in Kdm7a−/− mice in comparison with wild-type mice, which is associated with increased enrichment of H3K9me2 but not H3K27me2 and H3K27me3.

Many studies support the notion that the mammalian Hox genes are targets of PcG proteins and their associated H3K27me3, indicating the essential role of H3K27me3 in the silencing of Hox gene expression4,18,34,35. Consistently, our results confirmed the opposed labeling of H3K27me3 between Hox-inactive developmental head and Hox-active developmental trunk. In the mouse ES cells, H3K27me3 covers the entire Hox clusters, in which the Hox genes are transcriptionally repressed. Further, during collinear activation of the Hox genes, H3K27me3 marks at the Hox cluster loci are progressively diminished in the sequence of transcriptional activation of the Hox genes4. Accordingly, posterior transformation and an increased expression of the Hox genes are commonly seen in mice lacking PcG proteins8. For example, a mouse with mutation in the Mel18 gene, also known as the PcG ring finger 2 gene, exhibits a posteriorizing shift of body axis (e.g., the loss of rib in the thoracic vertebrae and ectopic ribs in the cervical vertebrae)36,37. Furthermore, Jmjd3 mutant mouse, in which the protein’s H3K27 demethylation domain is disrupted, exhibits an anterior homeotic transformation (e.g., the gain of rib in the lumbar vertebra), which is associated with the downregulation of Hox genes11. No involvement of H3K27me3 was observed in the deregulation of Hox genes and anterior transformation in Kdm7a−/− embryos, suggesting the possible mechanisms for H3K27me3 independent transcriptional repression of Hox genes, but further detailed studies are warranted to confirm these findings.

While both H3K9me2 and H3K27me3 are involved in facultative heterochromatinization during the development, limited overlap between H3K9me2 and H3K27me3 targets has been suggested38. Indeed, during the early postimplantation development, only a few genes are differentially expressed between the Ehmt2−/− and Ezh2−/− mutant embryos, which is in line with H3K9me2 and H3K27me3 being linked to distinct repressive chromatin states19. Accordantly, genome-wide analysis of the differentiation of mouse ES cells revealed that the occurrence of H3K9me2 and H3K27me3 is mutually exclusive, with relatively sharp boundaries between the two marks15. Supportively, our results demonstrated, in Kdm7a−/− embryos, an increased level of H3K9me2 at Hox gene loci without any changes of H3K27me3. Another example concerns “germline genes”, which are crucial for the progression of the primordial germ cell to meiosis in the female and for transposon repression in the male. These genes are silenced by both H3K9me2 and H3K27me3 in the mouse ES cells, and are progressively activated in association with decreased H3K9me2 marks, along with the specification and development of the primordial germ cell39. In addition, deposition of both H3K9me2 and H3K27me3 in the vicinity of the genomic region of Pax5, regulated by PcG proteins, is simultaneously decreased by Ehmt2 knockout in the mouse ES cells16. Furthermore, siRNA knockdown of Kdm7a in neuronal cells led to increased levels of not only H3K9me2 but also H3K27me3 at the follistatin locus21. Taken together, H3K9me2 and H3K27me3 normally have independent functions, as observed in mouse ES cells. Nevertheless, cooperative transcriptional control by H3K9me2 and H3K27me3 could occur under certain conditions.

One of the two classes of PcG, PRC2, has methylation capacity for not only H3K27me3 but also H3K27me240. Unlike H3K27me3, H3K27me2 is widely abundant, marking 50%–70% of total histone H3 and covering inter- and intragenic regions, suggesting that its role is to prevent inappropriate promoter or enhancer activities4042. To date, H3K27me2 is considered as an intermediate H3K27 methylation state that marks genes as being potentially activated or inactivated. Regarding transcriptional control of Hox genes, the role of H3K27me2 is controversial and thus remains be fully elucidated. For example, knock down of PHF1, a core component of PRC2, caused upregulation of Hox genes via redistribution of Ezh2, which was linked with decreased H3K27me2 and H3K27me3 levels in NIH3T3 cells43, while also linked with increased H3K27me2 and decreased H3K27me3 in HeLa cells44. Kdm7a reportedly can demethylate H3K27me2, suggesting the possibility that Kdm7a could transcriptionally regulate Hox gene expression through H3K27me2 dependent mechanism20,21. Importantly, H3K27me2 coverage was not altered between the wild-type and Kdm7a−/− developmental trunk, or between the head, where Hox genes are inactive, and the trunk, where Hox genes are active. Thus, in mice, at least during the developmental period that we observed in this study, H3K27me2 might not play a dominant role in the transcriptional regulation of Hox genes, as well as anterior–posterior axial development.

Recent findings have suggested a non-catalytic function of histone-modifying enzymes, especially in tumorigenesis. UTX-mediated chromatin remodeling suppresses acute myeloid leukemia via a noncatalytic inverse regulation of the oncogenic and tumor-suppressive transcription factor programs45. In addition, a non-enzymatic function of SETD1A, a methyltransferase of H3K4, regulates the expression of genes involved in DNA damage response and is required for the survival of acute myeloid leukemia cells46. In the present study, we showed that H3K9me2 occupancy is enriched in the Hox-negative developmental brain and increased in the posterior part of the Kdm7a mutant embryo. Hence, we believe that the catalytic activity of Kdm7a possibly plays an important role in the transcriptional control of Hox genes during embryogenesis. Nonetheless, experiments involving a catalytically inactive mutant will be required to clarify this point.

In conclusion, the presented data establish an important in vivo role of Kdm7a in the anterior–posterior axial development. Kdm7a regulates the transcription of Hox genes most likely by the demethylation of the repressive histone mark H3K9me2. Such systems might be essential for the proper control of coordinate body patterning in vertebrate development. Currently, studies focusing on the role of H3K9me2 during embryogenesis are limited47, and further studies are warranted to understand the mechanisms through which H3K9me2 mediates transcriptional regulation of the developmental genes, including Hox.

Methods

Mice

All mouse experiments were approved by The University of Tokyo Animal Care and Use Committee (approval number H28-1). The animals were housed in individual cages in a temperature- and light-controlled environment, and had ad libitum access to chow and water. All mouse experiments were approved by The University of Tokyo Animal Care and Use Committee.

Cell lines

Human cervical cancer cell line, HeLa, was purchased from ATCC (Manassas, VA) and grown and passaged every 2 or 3 days in DMEM (nacalai tesque, Kyoto, Japan), supplemented with 1% penicillin/streptomycin (Wako, Osaka, Japan) and 10% FBS (Thermo Fisher Scientific, Waltham, MA). The cells were cultured at 37 °C and in a 5% CO2 atmosphere in a humidified incubator.

Plasmids and mRNA preparation

The pCAG-EGxxFP23 plasmid was a kind gift from Dr. M Ikawa (The University of Osaka). Genomic fragments (~500-bp) containing the sgRNA target sequence were PCR-amplified and placed between the EGFP-encoding fragments. Plasmids expressing both hCas9 and sgRNA were prepared by inserting synthetic oligonucleotides (Hokkaido System Science, Hokkaido, Japan) at the BbsI site of pX330 (http://www.addgene.org/42230/)48. Plasmids pCAG-EGxxFP, harboring the sgRNA target sequence of Cetn1, and pX330, containing sgRNA-targeting Cetn1, were also kindly gifted from Dr. M Ikawa23. The p3s-Cas9HC plasmid (https://www.addgene.org/43945/) was used to generate hCas9 mRNA. The plasmid for producing sgRNA was prepared by inserting synthetic oligonucleotides (Hokkaido System Science) at the BsaI site of DR274 (https://www.addgene.org/42250/). RNA was synthesized from the XbaI-digested p3s-Cas9HC plasmid by using mMESSAGE mMACHINE T7 ULTRA transcription kit (Thermo Fisher Scientific) in accordance with manufacturer’s protocol. RNA was synthesized from the DraI-digested DR274 plasmid by using MEGAshortscript™ T7 transcription kit (Thermo Fisher Scientific) in accordance with manufacturer’s protocol. The hCas9 mRNA and sgRNAs were purified by phenol chloroform-isoamyl alcohol extraction and isopropanol precipitation, followed by spin column chromatography using NANOSEP MF 0.2 μm (Thermo Fisher Scientific). The PCR primers and oligonucleotide sequences for the constructs are listed in Supplementary Table 1.

Transfection procedure

For the experiment, 250 ng of pCAG-EGxxFP-target was mixed with 250 ng of pX330 harboring the sgRNA sequences, and the mixture was used to transfect 1 × 105 HeLa cells in a well of a 24-well plate using the Lipofectamine® LTX reagent (Thermo Fisher Scientific), according to the manufacturer’s protocol. The EGFP fluorescence was observed under a confocal microscope (C2+ Confocal Microscope System; Nikon, Tokyo, Japan) 48 h after the transfection.

Pronuclear injection

ICR and C57BL/6 female mice were superovulated and mated with ICR and C57BL/6 males, respectively, and fertilized eggs were collected from the oviduct. Then, the hCas9 mRNA (0.05 μg/μl) and sgRNAs (0.05 μg/μl) were co-injected into pronuclear-stage eggs. The eggs were cultivated in kSOM overnight and then transferred into the oviducts of pseudopregnant ICR females.

Genotyping

Mouse genomic DNA samples were prepared from tail biopsies. PCR was performed using Kdm7a-specific primers to amplify the sgRNA target site (Supplementary Table 1), and under the following cycling conditions: 95 °C for 10 min; followed by 40 cycles of 95 °C for 20 s, 60 °C for 20 s, and 72 °C for 30 s; incubation step at 72 °C for 7 min; and hold at 4 °C. BMS BIOTAQTM DNA polymerase (Nippon Genetics Co. Ltd, Tokyo, Japan) was used for PCR reactions. The Kdm7a PCR product was digested with XmnI (New England Biolabs, Beverly, MA). The digested DNA was resolved on an ethidium bromide-stained agarose gel (2%). For sequencing, PCR products were cloned using the DynaExpress TA PCR cloning kit (BioDynamics Laboratory Inc, Tokyo, Japan), and the mutations were identified by Sanger sequencing.

Skeletal staining

Alizarin red and alcian blue staining were performed, as previously described49. Samples (postnatal day 1 mice) were fixed in 95% ethanol for 1 week, placed in acetone for 2 days, and then incubated with 0.015% alcian blue 8GS, 0.005% alizarin red S, and 5% acetic acid in 70% ethanol for 3 days. After washing in distilled water, the samples were cleared in 1% KOH for at least 2 days and then in 1% KOH glycerol series until the surrounding tissues turned transparent. The specimens were stored in glycerol until morphological analysis under a stereomicroscope.

Dissection of the anterior and posterior parts of the embryo

Dissection of the anterior and posterior parts of the embryo (referred to as the “head” and “trunk”, respectively) was performed as described previously27,50, with minor modifications. In brief, the wild-type and Kdm7a−/− embryos were staged precisely by counting the somites. Embryos at somite stage 25 (E9.5) and 40 (E10.5) were used for the majority of experiments in the current study. For genomic and transcriptomic analysis, embryos were dissected from Kdm7a−/− mice and their respective littermate control mice. The embryonic head and trunk were divided at the level of otic vesicle, by utilizing micro-surgical scissors. The embryonic head and trunk were then transferred directly to QIAzol® lysis reagent (Qiagen, Hilden, Germany) and were stored at –80 °C for RNA isolation.

mRNA isolation

Total RNA was isolated from the embryonic head and trunk by using a miRNeasy micro kit (Qiagen) with the DNase digestion step, according to the manufacturer’s instructions.

qPCR for mRNA quantification

The isolated RNA (500 ng) was reverse-transcribed to cDNA by using PrimeScript RT master mix (Takara, Shiga, Japan). PCR was performed using a CFX96 unit (Bio-Rad, Hercules, CA) with SYBR® Premix EX TaqTM II (Takara). The relative expression levels were calculated using β-actin mRNA as a reference. The primers used for these analyses are listed in Supplementary Table 2.

Whole-mount in situ hybridization

Whole-mount in situ hybridization was performed as described previously51. Probes for Hoxd9 and Hoxd10 were kindly gifted by Dr. H. Hamada (The University of Osaka). Probes for Kdm7a was obtained by RT-PCR using the forward primer 5′- GAGTCTTCCCAAGTGCCGATGA-3′ and the reverse primer 5′- AGAACACCTCACTCTGGGTCAC-3′.

ChIP-qPCR

The embryonic head and trunk were collected as described in the section Dissection of the anterior and posterior parts of the embryo. To prepare single-cell suspension, the tissues were placed in 1 ml of phosphate-buffered saline, pipetted and passed through a 35-μm cell strainer (Corning Japan, Tokyo, Japan). The cells were fixed for 10 min in a 1% formaldehyde solution at room temperature and then neutralized for 5 min in a 0.125 M glycine solution. Pooled tissue samples from two embryos were used in ChIP analysis. ChIP was performed as previously described52,53. Briefly, fixed cells were re-suspended in 2 ml of sodium dodecyl sulfate lysis buffer, containing 10 mM Tris-HCl, pH 8.0 (Thermo Fisher Scientific), 150 mM NaCl (Thermo Fisher Scientific), 1% sodium dodecyl sulfate (Sigma-Aldrich, St. Louis, MO), 1 mM EDTA, pH 8.0 (Thermo Fisher Scientific), and cOmplete™ EDTA-free protease inhibitor cocktail (Sigma-Aldrich). The samples were then fragmented in a Picoruptor (40 cycles, 30 s on/30 s off; Diagenode, Liege Science Park, Belgium). The sonicated solution was diluted with ChIP dilution buffer [20 mM Tris-HCl, pH 8.0, 150 mM NaCl, 1 mM EDTA, and 1% Triton X-100 (Sigma-Aldrich)] up to 10.3 ml; 10 ml were used for immunoprecipitation (10 ml) and the remaining 300 μl were saved as non-immunoprecipitated chromatin (the input sample). Specific antibodies against H3K4me3, H3K9me2, and H3K27me3 (MAB Institute, Inc. Nagano, Japan), and H3K27me2 (Cell Signaling Technology, Danvers, MA), and total H3 (Abcam, Cambridge, MA) were bound to magnetic Dynabeads M-280 (Thermo Fisher Scientific) and mixed with the diluted, sonicated solution for immunoprecipitation. The prepared DNA was quantified using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific), and more than 10 ng of DNA were processed for qPCR. The quantification primers are listed in Supplementary Table 3. PCR was performed using a CFX96 PCR and SYBR® Premix EX TaqTM II. Fold enrichment was determined as the percentage of the input.

ChIP-Seq library preparation

ChIP-Seq library was prepared using DNA sonicated to an average size of 0.5 kb. ChIP samples were processed for library preparation using a KAPA Hyper Prep kit (Kapa Biosystems Inc., Wilmington, MA), according to the manufacturer’s instructions. Deep sequencing was performed using a HiSeq 2500 sequencer (Illumina Inc., San Diego, CA) as single-end 36-b reads.

RNA-Seq library preparation

Total RNA from the embryos was isolated as described above in the section mRNA isolation. The RNA integrity score was calculated using the RNA 6000 Nano reagent (Agilent Technologies) and a 2100 Bioanalyzer (Agilent Technologies). RNA integrity value (RIN) score of all samples used for the preparation of RNA-Seq libraries was above 9. RNA-Seq libraries were prepared with a TruSeq RNA Library Prep Kit (Illumina). The libraries were sequenced using a HiSeq 2500 sequencer (Illumina) as paired-end 150-b reads.

Bioinformatics

RNA-Seq data analysis

The quality of FASTQ files was checked by using FastQC (http://www.bioinformatics.babraham. ac.uk/projects/fastqc) version 0.11.8, and trimmed using Trimmomatic PE version 0.3854 with “ILLUMINACLIP:adaptor_sequence.fa:2:30:7:1:true LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 CROP:120 MINLEN:36” parameters. The trimmed FASTQ files were aligned to the mouse reference genome mm10 using Hisat2 version 2.1.055 with a “–dta” option. SAM files were sorted and converted into BAM files using Samtools version 1.956. Gene expression was quantified in transcripts per kilobase million (TPM) using StringTie version 1.3.4d57 with an “-e” parameter; the GTF file was downloaded from GENCODE release M20 (https://www.gencodegenes.org/mouse/release_M20.html) and input with a “-G” option. To visualize the sequencing tracks, BIGWIG files were generated from BAM files using deepTools version 3.2.058, bamCoverage command with “-of bigwig -bs 1–exactScaling–normalizeUsing CPM” parameters, and displayed in Integrative Genomics Viewer59. Read count table was produced using featureCounts version 1.6.3 with “-t exon -g gene_id–extraAttributes gene_name -M -s 0 -p -P -d 0 -D 500 -a gencode.vM20.annotation.gtf” parameters. Differential expression was determined using DESeq260 by testing wild-type versus Kdm7a−/− embryos at E9.5 or E10.5. The values obtained from DESeq2 were used to generate a heatmap and volcano plots. Differentially expressed genes were defined based on two criteria: (1) padj < 0.05 and (2) TPM > 1 in either or both wild-type or KO samples, and used for GO analysis in DAVID61 and IPA (QIAGEN, https://www.qiagenbioinformatics.com/products/ingenuity-pathway-analysis).

ChIP-Seq data analysis

The quality of FASTQ files was by using FastQC (http://www.bioinformatics.babraham. ac.uk/projects/fastqc) version 0.11.8, and trimmed using Trimmomatic SE version 0.3854 with “ILLUMINACLIP:adaptor_sequence.fa:2:30:7 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:36” parameters. The trimmed FASTQ files were aligned to the mouse reference genome mm10 using Bowtie2 version 2.3.4.362 with a “-N 1” option. SAM files were sorted and converted into BAM files using Samtools version 1.956. To visualize the sequencing tracks, BIGWIG files were generated from BAM files using deepTools version 3.2.058 bamCoverage command with “-of bigwig -bs 50–exactScaling–normalizeUsing CPM -e 500” parameters, and displayed in Integrative Genomics Viewer59. To generate the signal heatmaps (Fig. 3d; Supplementary Fig. 5d), log2 fold-change of the input-normalized ChIP-Seq signals for each Hox gene were calculated as follows:

log2CPMIP1/CPMinput1/CPMIP2/CPMinput2,

where CPMIP and CPMinput are the read counts per million mapped reads (CPM) from IP and input libraries, respectively. CPMIP was calculated over gene bodies, while CPMinput, a local background, was calculated over Hox cluster loci to minimize the effect of site-specific noises. Hox cluster loci were defined as intervals from the first gene (Hox1 or Hox4) to the last gene (Hox13); namely, as follows: Hoxa cluster, chr6:52155590-52260880; Hoxb cluster, chr11:96194316-96368256; Hoxc cluster, chr15:102921103-103036852; Hoxd cluster, chr2:74668310-74765142. Reads were counted using the feature Counts version 1.6.3 with “–readExtension3 500 -M -O -s 0” parameters, in which a custom GTF file was prepared for counting reads in Hox cluster loci. CPM normalization was performed using a custom R script. Finally, average log2 fold-change of two biological replicates was shown as heatmaps.

Statistics and reproducibility

In each biological experiment, at least two or three independent repeats were performed. RNA-Seq and ChIP-Seq experiments were done with three and two biological replicates, respectively, and each reproducibility was confirmed by correlation coefficients. Statistical differences were analyzed by using the Student’s t-test. In all tests, differences at P-values of <0.05 were considered to be statistically significant.

Reporting summary

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

Supplementary information

Peer Review File (230.9KB, pdf)
42003_2020_1456_MOESM3_ESM.pdf (77.6KB, pdf)

Description of Additional Supplementary Files

Supplementary Data 1 (13.4MB, xlsx)
Supplementary Data 2 (32KB, xlsx)
Supplementary Data 3 (49KB, xlsx)
Reporting Summary (142.4KB, pdf)

Acknowledgements

We thank Shiro Fukuda and Shogo Yamamoto (The University of Tokyo) for bioinformatics analysis. pX330 plasmid vectors were kindly gifted from Dr. Masahito Ikawa (Osaka University). This work was supported by a Grant-in-Aid for JSPS Postdoctoral Fellows (to Y.H.); a Grant-in-Aid for Young Scientists (B) 17K15991 (to Y.H.); a Grant-in-Aid for Young Scientists (A) 26710013 (to Y. Kanki); a Grant-in-Aid for Scientific Research on Innovative Areas (Research in a Proposed Research Area) 25125707 (to Y. Kanki); a Grant-in-Aid for Challenging Exploratory Research [26670397 (to Y. Kanki) and 16K15438 (to Y. Kanki)]; a Fund for the Promotion of Joint International Research (Fostering Joint International Research) 15KK0251 (to Y. Kanki); a Research Grant from Nanken-Kyoten, TMDU (to Y.H., Y. Kanki, Y.W., and T.F.); a Research Grant from Takeda Science Foundation (to Y. Kanki); a Research Grant from the Japan Heart Foundation (to Y. Kanki); a Research Grant from MSD Life Science Foundation (to Y. Kanki); a Research Grant from Uehara Memorial Foundation (to Y. Kanki); a Research Grant from SENSHIN Medical Research Foundation (to Y. Kanki); and a Research Grant from Kowa Life science Foundation (to Y. Kanki).

Author contributions

Y.H., T.K., Y. Kawamura, and Y. Kanki designed the research strategies; Y.H., M.Y., T.K., Y. Kawamura, A.T., N. Nakada, and Y. Kanki performed the experiments; Y.H., N. Nagai, and Y. Kanki performed the bioinformatic analyses; Y.H., N. Nagai. T.K., Y. Kawamura, M.N., H.K., H.A., Y.W., T.F., and Y. Kanki analyzed the data; and Y.H., N. Nagai, T.K., and Y. Kanki wrote the manuscript.

Data availability

Sequence data can be accessed through the Gene Expression Omnibus (GEO) under the NCBI accession number GSE133189. The summary of RNA-Seq analysis is shown as Supplementary Data 1. RNA-Seq analysis for histone methyltransferases and demethylases is shown as Supplementary Data 2. The source data underlying the graphs presented in the figures are shown as Supplementary Data 3.

Competing interests

The authors declare no competing interests.

Footnotes

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

Supplementary information

Supplementary information is available for this paper at 10.1038/s42003-020-01456-5.

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Associated Data

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

Supplementary Materials

Peer Review File (230.9KB, pdf)
42003_2020_1456_MOESM3_ESM.pdf (77.6KB, pdf)

Description of Additional Supplementary Files

Supplementary Data 1 (13.4MB, xlsx)
Supplementary Data 2 (32KB, xlsx)
Supplementary Data 3 (49KB, xlsx)
Reporting Summary (142.4KB, pdf)

Data Availability Statement

Sequence data can be accessed through the Gene Expression Omnibus (GEO) under the NCBI accession number GSE133189. The summary of RNA-Seq analysis is shown as Supplementary Data 1. RNA-Seq analysis for histone methyltransferases and demethylases is shown as Supplementary Data 2. The source data underlying the graphs presented in the figures are shown as Supplementary Data 3.


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