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. 2023 Apr 26;24(6):e56316. doi: 10.15252/embr.202256316

DOT1L regulates chromatin reorganization and gene expression during sperm differentiation

Mélina Blanco 1, Laila El Khattabi 1,2, , Clara Gobé 1, , Marion Crespo 3,4, Manon Coulée 1, Alberto de la Iglesia 1,5, Côme Ialy‐Radio 1, Clementine Lapoujade 6, Maëlle Givelet 6, Marion Delessard 1, Ivan Seller‐Corona 1, Kosuke Yamaguchi 7, Nadège Vernet 8, Fred Van Leeuwen 9, Alban Lermine 10, Yuki Okada 7, Romain Daveau 10, Rafael Oliva 5,11, Pierre Fouchet 6, Ahmed Ziyyat 1,12, Delphine Pflieger 3, Julie Cocquet 1,
PMCID: PMC10240200  PMID: 37099396

Abstract

Spermatozoa have a unique genome organization. Their chromatin is almost completely devoid of histones and is formed instead of protamines, which confer a high level of compaction and preserve paternal genome integrity until fertilization. Histone‐to‐protamine transition takes place in spermatids and is indispensable for the production of functional sperm. Here, we show that the H3K79‐methyltransferase DOT1L controls spermatid chromatin remodeling and subsequent reorganization and compaction of the spermatozoon genome. Using a mouse model in which Dot1l is knocked‐out (KO) in postnatal male germ cells, we found that Dot1l‐KO sperm chromatin is less compact and has an abnormal content, characterized by the presence of transition proteins, immature protamine 2 forms and a higher level of histones. Proteomic and transcriptomic analyses performed on spermatids reveal that Dot1l‐KO modifies the chromatin prior to histone removal and leads to the deregulation of genes involved in flagellum formation and apoptosis during spermatid differentiation. As a consequence of these chromatin and gene expression defects, Dot1l‐KO spermatozoa have less compact heads and are less motile, which results in impaired fertility.

Keywords: flagellum development, gene regulation, H3K79 methylation, histone‐to‐protamine transition, spermatogenesis

Subject Categories: Chromatin, Transcription & Genomics; Development; Post-translational Modifications & Proteolysis


The H3K79 methyltransferase DOT1L is essential for the differentiation of male germ cells into functional spermatozoa. In spermatids, DOT1L controls chromatin reorganization and regulates genes involved in multiple aspects of sperm differentiation.

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Introduction

During the postmeiotic phase of spermatogenesis, male germ cells known as spermatids undergo profound morphological and functional changes to differentiate in spermatozoa. This process is driven by a rich genetic program characterized by the expression of thousands of genes in round spermatids (Soumillon et al2013; da Cruz et al2016; Chen et al2018; Green et al2018; Ernst et al2019). Then, when spermatids elongate, their chromatin is extensively remodeled which ultimately results in the eviction of ~ 85–99% of nuclear histones and their replacement by more basic, smaller proteins, called protamines (for reviews, see Rathke et al2014; Bao & Bedford, 2016). This unique chromatin reorganization induces a 6–10 times higher level of compaction of the spermatozoon chromatin compared to the canonical nucleosome‐based chromatin (Ward & Coffey, 1991). Non‐histone packaging of male germ cell genome is conserved throughout evolution and expected to be important to protect paternal DNA from damages and prepare its reprograming in the zygote, if fertilization occurs (Rathke et al2014). A compact genome is also an advantage for the motile spermatozoa as it is compatible with a smaller and more hydrodynamic head (Braun, 2001).

In the past decades, the molecular mechanisms driving histone eviction and subsequent compaction of the sperm genome have been the focus of several studies which have demonstrated the essential role of transition proteins (Zhao et al2004a,b), of histone variants (Montellier et al2013; Barral et al2017), of histone post‐translational modifications (PTMs), in particular hyperacetylation (Oliva et al1987; Goudarzi et al2016), and of writers and readers of histone acetylation (Shang et al2007; Gaucher et al2012; Dong et al2017; Shiota et al2018; Luense et al2019). Interestingly, high levels of histone H3 Lysine 79 di‐ and tri‐methylation (H3K79me2 and me3) have been observed at the same time as histone hyperacetylation, just prior to histone removal (Dottermusch‐Heidel et al2014a,b; Moretti et al2017; Fig 1A), but their biological significance remains to date unknown. H3K79 methylation is mediated by one enzyme, encoded by the gene Dot1l, of which pattern of expression and sequence are conserved from Drosophila to mammals. Dot1l has been implicated in development, cell reprogramming, differentiation, and proliferation (for review, see Kim et al2014; Vlaming & van Leeuwen, 2016). It has recently been found to be essential for spermatogonial stem cell self‐renewal (Lin et al2022) but its role in postmeiotic male germ cells, where it is the most highly expressed (Dottermusch‐Heidel et al2014a,b; Moretti et al2017), has not been addressed.

Figure 1. DOT1L expression in meiotic and postmeiotic germ cells of Dot1l‐KO and CTL male mice.

Figure 1

  • A
    Spermatogenesis scheme representing the dynamic of histone to protamine transition.
  • B
    Western blot detection of DOT1L and TUBULIN (TUB) in whole testicular protein extracts from CTL and Dot1l‐KO (KO) adult mice.
  • C
    Immunohistochemistry detection of DOT1L in testicular sections from CTL and Dot1l‐KO (KO) adult mice. ES, elongating spermatids; RS, round spermatids; SC, spermatocytes. Pictures were taken using the same parameters. Scale bars indicate 50 μm.
  • D
    Western blot detection of DOT1L and H3K79me2 in Dot1l‐KO (KO) and CTL germ cells. Normalization was performed by detecting the membrane with anti‐TUBULIN (TUB). SC = primary spermatocytes, RS = round spermatids.

Data information: See also Fig EV1 and Appendix Fig S1.

Source data are available online for this figure.

In the present paper, we investigated Dot1l role in postmeiotic cells by a comprehensive analysis of the phenotypic and molecular consequences of its knockout in mouse male germ cells. We found that Dot1l is required for gene regulation and chromatin reorganization in spermatids and that its knockout leads to the production of abnormally shaped nonfunctional spermatozoa with a deficient chromatin and nucleus compaction.

Results

Dot1l is essential for spermatogenesis and male fertility

In both mouse and human, Dot1l/DOT1L gene is highly expressed in the testis (Appendix Fig S1A). More precisely, it is expressed in all testicular cells with a strong expression at postnatal stage in meiotic cells (spermatocytes) and postmeiotic cells (spermatids; Appendix Fig S1A–C; Dottermusch‐Heidel et al2014a,b; Moretti et al2017; Green et al2018). To investigate the role of Dot1l in male germ cells, we generated a conditional knockout using Stra8‐Cre recombinase (Sadate‐Ngatchou et al2008) and a mouse transgenic line in which Dot1l exon 2 is flanked by LoxP sites (Jo et al2011; Appendix Fig S1D). Previous studies have reported that Stra8‐Cre is specifically expressed in the male germline where it is expressed from postnatal day 3 and CRE recombinase reaches maximum efficiency in pachytene spermatocytes (Sadate‐Ngatchou et al2008; Bao et al2013). Bao et al (2013) have also observed that Stra8‐Cre is more efficient at cutting one allele rather than two. We, therefore, generated mice in which one allele of Dot1l is floxed and one allele is already deleted (∆) to increase efficiency of floxed exon excision upon Cre recombinase expression (Dot1l Fl/ ; Stra8‐Cre mice, hereafter called Dot1l‐KO or KO). First, to estimate the efficiency of Dot1l knockout, we detected DOTL1 protein by western blot and immunochemistry on adult testes from Dot1l‐KO (Dot1l Fl/ ; Stra8‐Cre) and controls (Dot1l Fl/Fl ; Fig 1B and C and Appendix Fig S1E–G). We found a reduction of > 85% of DOT1L signal but not complete abolishment/knockout of DOT1L level, despite strong activity of Stra8‐Cre in most adult germ cells (Appendix Fig S1H). Analyses of purified germ cell fractions confirmed reduced level but not complete absence of DOTL1 protein, along with a reduction of H3K79me2 level (Figs 1D and EV1 and Appendix Fig S1I). Multiple protein isoforms of DOT1L have been described in the literature and several of them were observed in our western blots, including the canonical (~ 165 kDa) and testis‐specific (~ 185 kDa) isoforms (Zhang et al2004; Dottermusch‐Heidel et al2014b), as well as less studied isoforms such as Q679P5 (~ 122KDa) or Q6XZL7 (~ 68KDa; https://www.uniprot.org). All of them were markedly reduced in Dot1l‐KO testicular extracts (Appendix Fig S1E and I).

Figure EV1. Immunofluorescence detection of H3K79me2 on testicular sections from adult CTL or Dot1l‐KO mice.

Figure EV1

H3K79me2 signal is shown in green. DAPI (blue) was used to stain nuclei. Lectin (pink) was used to stain acrosome. Scale bar indicates 20 μm.

To investigate the impact of Dot1l knockout on spermatogenesis and male fertility, the reproductive parameters of adult Dot1l‐KO males were investigated: significant decreases in testis weight and sperm count were observed (independently of body weight, Fig 2A and Appendix Fig S2A and B). Histological analyses revealed the presence of “empty” tubules without germ cells or missing germ cell layers (Fig 2B and Appendix Fig S2C) highlighting a spermatogonial defect as described by Lin et al (2022). However, there was no homogenous blockage/arrest at a specific stage of Dot1l‐KO spermatogenesis. These observations were confirmed by cytometry analyses in which the number of all germ cell populations (i.e., spermatogonia with Side Population phenotype, spermatocytes, and spermatids) was found decreased in Dot1l‐KO testes (Fig 2C), but their frequency was overall not altered (Appendix Fig S2F). Collectively, these data show that the Dot1l‐KO we produced does not lead to a spermatogenesis arrest. When mated to WT females, Dot1l‐KO males were found to be hypofertile with significant reductions in the number of litters and in litter size compared to that of control (CTL) males (Fig 2D and Appendix Fig S2D and E). We genotyped the few pups obtained and observed that the floxed allele was transmitted to 35% of babies (12 out of 34) and the deleted allele to 65% of them. This indicates that the deleted allele can be transmitted but less efficiently than what was expected based on our quantification of Dot1l‐KO spermatids by immunofluorescence (i.e., only 65% of transmission of the deleted allele although > 85% of spermatids were devoid of DOT1L protein).

Figure 2. Dot1l‐KO in male germ cells impairs spermatogenesis and male fertility.

Figure 2

  • A
    Scatter plots (mean ± standard error of the mean, SEM) showing the average testis weight, body weight and sperm count in Dot1l‐KO and CTL adult mice (from ~ 2‐ to 4‐month‐old males, N > 10 biological replicates for CTL and Dot1l‐KO).
  • B
    Histology of Dot1l‐KO and CTL testes (periodic acid‐Schiff staining). Scale bars indicate 200 μm.
  • C
    Schematic diagram representing total number of each cell type per testis in CTL and Dot1l‐KO males, as calculated by FACS (mean ± SEM). 4N = Primary spermatocytes, 2N = Secondary spermatocytes, N = spermatids, SP = Side Population representing premeiotic germ cells (spermatogonia). Testes from 4 CTL and 3 Dot1l‐KO males were analyzed (biological replicates). *P‐value < 0.05 or **P‐value < 0.01 (Student t‐test).
  • D
    Results from the tests of fertility (natural mating) of Dot1l‐KO and CTL males (seven males in each group mated for ~ 3 months with wild‐type females). Schematic diagrams representing the number of litters and the litter size from progeny of Dot1l‐KO or CTL males (mean ± SEM).The P‐value obtained with a Student t‐test is indicated on each graph.
  • E
    In vivo (left panel) and in vitro fertilization results. The percentages of fertilized oocytes are indicated for WT, CTL, and HET males (‘all CTL’) and for Dot1l‐KO males. The left panel shows the mean (± SEM) fertilization rate of oocytes collected in superovulated females 24 h after natural mating. Nine and six females with a positive vaginal plug were analyzed after mating with CTL and Dot1l‐KO males, respectively. This represents 113 and 73 oocytes analyzed after mating with CTL or KO males, respectively. The central and right panels show in vitro fertilization results (mean fertilization rate ± SEM) using oocytes with intact cumulus, or using oocytes of which the zona pellucida was removed beforehand. **P‐value < 0.005 or ***P‐value < 0.0005 (unpaired t‐test performed after angular transformation of percentages).

Data information: See also Appendix Fig S2.

Source data are available online for this figure.

The reduction in litter number and size could result from impaired fertilizing ability of Dot1l‐KO sperm or from a developmental defect. To address this question, we measured the fertilization rate 24 h after WT females were mated with Dot1l‐KO or CTL males. The numbers of fertilized and non‐fertilized oocytes collected in the oviduct ampulla were counted in both groups (a total of 113 oocytes were analyzed from 9 WT females mated with 4 CTL, and 73 oocytes from 6 WT females mated with 3 KO). A significant reduction in the fertilization rate was observed for Dot1l‐KO indicating that Dot1l‐KO sperm are less functional than CTL sperm (Fig 2E). In addition to in vivo fertility monitoring, we performed in vitro fertilization (IVF) assays using the same number of spermatozoa per experiment. Using spermatozoa from Dot1l‐KO males, no oocyte was fertilized in vitro, while spermatozoa from control males (including WT, CTL and HET males) led to the fertilization of ~ 37% of oocytes (Fig 2E, and see Appendix Fig S2G for individual values). When using oocytes devoid of zona pellucida, in order to bypass the zona pellucida crossing step, spermatozoa from Dot1l‐KO males still performed very poorly compared to that of CTL males (~ 3% of fertilized oocytes using Dot1l‐KO sperm compared to ~ 88% for CTL, Fig 2E), confirming that Dot1l‐KO dramatically reduces sperm fertilizing ability. IVF is known to be less efficient and to lead to lower fertilization rates than in vivo. It is, therefore, more sensitive to sperm defects, as observed in other studies (Fujihara et al2010; Kawano et al2010; Barraud‐Lange et al2020; Gadadhar et al2021).

Dot1l‐KO disrupts spermiogenesis and leads to the production of malformed nonfunctional spermatozoa

To determine the reason why Dot1l‐KO spermatozoa are less functional than CTL ones, we investigated their morphology and motility. Spermatozoa are highly specialized cells characterized by a small head which encompasses their very compact nucleus, a long flagellum that confers motility and almost no cytoplasm. First, we observed that Dot1l‐KO epididymal spermatozoa displayed malformed heads and abnormal flagella (characterized by thinning of some sections in their midpiece; Figs 3A and EV2A). Inside the flagellum, the axoneme normally contains a ring of nine outer microtubule doublets and two central microtubules (9 + 2 axoneme). In Dot1l‐KO sperm, ultrastructure analyses revealed abnormal axonemes, characterized by disorganized microtubules (< 9 + 2 microtubules; Fig 3B). Nuclear compaction was also found impaired, observed as less contrasted nuclei in KO in comparison with CTL sperm. Dot1l‐KO sperm also showed an increased cytoplasmic retention (Figs 3B and EV2A). Using CASA (computer‐assisted sperm analyses), we observed that Dot1l‐KO sperm motility was impaired, with a reduced proportion of motile and progressively motile (i.e., swimming in an overall straight line or in very large circles) spermatozoa (Figs 3C and EV2B). This was not due to cell death as sperm vitality was comparable between CTL and Dot1l‐KO mice (Appendix Fig S3A). Axoneme/flagellum organization, nucleus compaction, and cytoplasm elimination occur during the differentiation of spermatids in spermatozoa (i.e., spermiogenesis). We measured apoptosis during this transition by TUNEL assay on testicular sections, and found a higher incidence of apoptotic elongating/condensing spermatids in Dot1l‐KO than in CTL, another indication of a defective spermiogenesis (i.e., 6% of tubules containing apoptotic elongating/condensing spermatids in CTL vs. 40% of tubules in DOT1L‐KO, P = 0.0007, Fig 3D). Collectively, our data indicate that Dot1l‐KO spermiogenesis is impaired at multiple levels and produces less functional spermatozoa.

Figure 3. Dot1l‐KO in male germ cells leads to multiple spermiogenesis defects including flagellar abnormalities and incomplete sperm chromatin reorganization and compaction.

Figure 3

  • A
    Representative pictures of Dot1l‐KO and CTL epididymal spermatozoa. The black arrow indicates an abnormal sperm head (without apical hook) and white arrows indicate thinning of the flagellum. Scale bars represent 10 μm.
  • B
    Ultrastructure pictures (electron microscopy) from epididymal spermatozoa showing multiple abnormalities in Dot1l‐KO compared to CTL: disorganized microtubules (blue arrow), impaired nuclear compaction (top panels) and increased cytoplasmic retention (bottom right panel). Scale bars represent 1 μm.
  • C
    Scatter plots (mean values following angular transformation ± SEM) of the percentage of motile and progressively motile spermatozoa in Dot1l‐KO and CTL adult mice (N = 12 biological replicates for CTL and 10 biological replicates for Dot1l‐KO) obtained following CASA (computer‐assisted sperm analysis). ***P‐value < 0.0005 (Mann–Whitney test performed after angular transformation of the percentages).
  • D
    Scatter plots showing the percentage of testicular tubules with TUNEL‐positive elongating/condensing spermatids (ES) (mean per animal ± SEM, N = 5 biological replicates for CTL and 6 biological replicates for Dot1l‐KO). **P‐value < 0.005 (unpaired t‐test performed after angular transformation of percentages). A representative picture of Dot1l‐KO testicular sections following TUNEL assay is shown on the left. TUNEL positive elongating/condensing spermatids are visible inside the tubule (in green, white arrowhead). DAPI (blue) was used to stain nuclei. Scale bar indicates 20 μm.
  • E
    Western blot detection of histones H3 and TH2B in spermatozoa from Dot1l‐KO and CTL males. The same quantity of material was loaded in each well (i.e., extracts from 2 million spermatozoa). NS indicates a non‐specific band also observed on the membrane stained with Ponceau (see Appendix Fig S3C).
  • F
    Western blot detection of transition protein 2 (TNP2) in spermatozoa from Dot1l‐KO and CTL males. The same quantity of material was loaded in each well (i.e., extracts from 2 million spermatozoa).
  • G
    Coomassie‐stained protamine extracts from CTL and Dot1l‐KO spermatozoa following acid urea gel electrophoresis (same gel, two different intensities). The same quantity of material has been loaded in each well (i.e., extracts from 1.4 million spermatozoa). Protamine 1 and 2 bands (PRM1 and PRM2, respectively) are detected at the bottom of the gel. The rectangle highlights the bands that are likely immature forms of Protamine 2 (i.e., non‐cleaved precursor forms). The right panel shows a western blot detection using anti‐PRM2 antibody which confirms that one of the high molecular weight band only observed in Dot1l‐KO spermatozoa is an immature form of Protamine 2 (Pre‐PRM2). The corresponding Coomassie‐stained gel is also shown.
  • H
    Quantification of histones TH2B and H3 (N = 11 and 10 biological replicates for CTL and KO, respectively), of TNP2 (N = 8 biological replicates for CTL and for KO) and of PRM1/PRM2 ratio (N = 3 biological replicates for CTL and for KO) in Dot1l‐KO and CTL spermatozoa, related to Fig 3E–G. The data shown are normalized to control mean values (± SEM). *P‐value < 0.05, ***P‐value < 0.0005 (unpaired t‐tests). A.U. = arbitrary units.

Data information: See also Fig EV2 and Appendix Fig S3.

Source data are available online for this figure.

Figure EV2. Detailed analyses of CTL and Dot1l‐KO spermatozoa.

Figure EV2

  • A
    Scatter plots showing the quantification of sperm abnormalities (mean ± SEM; N = 4–5 and four biological replicates for CTL and KO, respectively). Stars indicate significant differences obtained using t‐tests after angular transformation of the percentages (*P‐value < 0.05, **P‐value < 0.005, and ***P‐value < 0.0005).
  • B
    Motility parameters from Dot1l‐KO and CTL spermatozoa following CASA (computer‐assisted sperm analyses) (mean ± SEM; N = 12 and 10 biological replicates for CTL and KO, respectively). Specifically, Dot1l‐KO spermatozoa are slower and more static. They have a more linear movement (LIN) and a decreased straightness (STR), decreased lateral displacements of their heads (ALH) with a lower curvilinear velocity (VCL) resulting in a straight‐line velocity (VSL) similar to CTL spermatozoa but a higher Average Path Velocity (VAP). Stars indicate significant differences obtained using Mann–Whitney t‐tests after angular transformation of the percentages (**P‐value < 0.01, ***P‐value < 0.001, ****P‐value < 0.0001, ‘ns’ indicates non‐significance). The Beat Cross Frequency (BCF) of CTL and Dot1l ‐KO spermatozoa is similar.

Dot1l‐KO modifies the chromatin of postmeiotic male germ cells, which results in abnormal chromatin reorganization and compaction in spermatozoa

During spermiogenesis, spermatid chromatin undergoes specific reorganization and compaction as most histones are removed and replaced with protamines (Rathke et al2014; Bao & Bedford, 2016). Histone variants (such as TH2B or H2AL2) and transition proteins (TNP) are highly expressed in spermatids during histone‐to‐protamine transition and are essential for the correct reorganization and compaction of the sperm genome with protamines (Montellier et al2011; Barral et al2017). In addition to the nuclear compaction defects observed by electron microscopy (Fig 3B), we noticed that Dot1l‐KO sperm chromatin is more sensitive to nucleoplasmin‐induced decompaction than CTL sperm chromatin. Nucleoplasmin, or NPM, is a histone chaperone known to facilitate paternal chromatin decompaction and reorganization after fertilization owing to its ability to bind histones and sperm nuclear basic proteins (Frehlick et al2007). Following NPM treatment, a higher proportion of soluble histones was found in Dot1l‐KO compared to CTL sperm (Appendix Fig S3B) in agreement with a chromatin compaction defect. We next quantified TH2B and H3 histones in epididymal spermatozoa by western blot and, despite inter individual variability, we found significantly more residual histones in Dot1l‐KO than in CTL sperm chromatin (Fig 3E and H and Appendix Fig S3C and D). We also quantified transition protein 2 (TNP2) and found a clear retention of this protein in Dot1l‐KO spermatozoa while nothing could be detected in CTL sperm (Fig 3F and H and Appendix Fig S3E). Finally, we quantified protamines on acid‐urea gels and observed an accumulation of immature (non‐cleaved) forms of Protamine 2 in Dot1l‐KO spermatozoa versus. CTL (Fig 3G). A slight but significant distorted Protamine1/Protamine2 (PRM1/PRM2) ratio was also observed in Dot1l‐KO spermatozoa (Fig 3G and H and Appendix Fig S3F).

The transition from nucleosomes to protamine‐based chromatin starts in elongating spermatids with the incorporation of histone post‐translational modifications (PTMs) and histone variants (for reviews see Oliva, 2006; Rathke et al2014; Bao & Bedford, 2016). To better understand how DOT1L impacts on chromatin organization prior to histone removal, we quantified histone PTMs and variants by liquid chromatography–tandem mass spectrometry (LC–MS/MS) in whole testes and in elongating/condensing spermatids. In whole testis histone extracts, we observed, as expected, a clear decrease of H3K79 mono‐ and di‐methylation in Dot1l‐KO samples compared to CTL (Appendix Fig S4A). The tri‐methylation of H3K79 was not detectable with this analysis, possibly due to its small stoichiometry. No other significant differences in histone H3 PTMs were detected between Dot1l‐KO and CTL whole testicular histone extracts. However, a significant decrease in histone H4 hyperacetylated form (i.e., H4K5ac, K8ac, K12ac, K16ac) was observed (Appendix Fig S4A). In elongating/condensing spermatids (ES), the stage during which chromatin is extensively remodeled, a significant decrease in H3K79 mono‐ and di‐methylation levels was also observed (Fig 4A). Here also, H3K79 tri‐methylation was not detectable. Several other quantitative changes in histone PTMs were not only observed, such as modest increases in H3K23ac, H2AR88me1, and TH2BK35ac, but also a dramatic decrease of H4K20 or R23 mono‐, di‐, and tri‐methylated forms (Fig 4 and Appendix Fig S4B). Quantification of histone variants showed significant changes in H1 variants and in canonical H2A (Appendix Fig S4C). The most remarkable change was, as in whole testes, a severe decrease in H4 acetylation in Dot1l‐KO elongating/condensing spermatids, in particular, hyperacetylated forms such as H4K5ac, K12ac, K16ac, H4K8ac, K12ac, K16ac, and H4K5ac, K8ac, K12ac, K16ac (Fig 4B). In elongating spermatids, histone H4 hyperacetylation is an essential step of histone‐to‐protamine transition, as it facilitates chromatin loosening and nucleosome disassembly prior to histone removal (for review see Oliva, 2006). By western blot and immmunofluorescence, we also observed a decrease in H4 acetylation in Dot1l‐KO elongating/condensing spermatids compared to CTL using anti‐H4K16ac or anti‐poly H4ac antibody (Fig EV3 and Appendix Fig S4D).

Figure 4. Dot1l‐KO modifies the chromatin of elongating/condensing spermatids.

Figure 4

  • A, B
    Bar plots showing the quantification of post‐translational modifications (PTMs) in histones H3 and H4 in ES (elongating/condensing spermatids) by LC–MS/MS. After normalization to be at constant amount of histone H3 or H4 in each analyzed sample (see Materials and Methods), mass spectrometry signals were divided by the average signal in both conditions (CTL and KO), so as to be able to represent all peptides in the same figure, whatever their MS intensity. Quantitative data obtained on biological replicates (N = 3 for CTL and 3 for KO) were plotted as dots, and the height of the bars indicates the average value (mean ± standard deviation, SD). T‐tests were performed to estimate the possible significant difference of modified peptide abundances between the two genotypes. *P‐value < 0.05, ** P‐value < 0.005, and ***P‐value < 0.0005. When interpreting our mass spectrometry data against the database MS_histoneDB, we were able to identify various H3 variants, namely canonical H3 and variants H3.3, testis‐specific H3t and H3mm13. “H3” indicates sequences shared among several variants; “H3.3,” “H3t,” or “H3mm13”, each variant. A.U. = arbitrary units.

Data information: See also Figs EV3 and 4 and Appendix Fig S4.

Source data are available online for this figure.

Figure EV3. Confirmation of a decrease in H4 acetylation in elongating spermatids (ES) by immunofluorescence.

Figure EV3

Representative pictures of immunofluorescence detection of acH4 (anti‐poly‐H4ac, green) on stage XI testicular sections. At this stage, acH4 level is strong in CTL elongating spermatids but appears weaker in Dot1l‐KO. DAPI (blue) was used to stain nuclei and lectin (red) to stage the acrosome and facilitates tubule staging. Scale bar indicates 20 μm.

We next quantified histone PTMs and variants at an earlier stage of spermiogenesis, in round spermatids (RS), and did not see any decrease in H4 acetylation or H4K20 methylation in KO versus. CTL RS (Fig EV4) in contrast with what was observed in ES (Fig 4). Apart from the expected decrease in H3K79 methylation, the only quantitative changes that were detected in RS were increases in H3K18 crotonylation (H3K18cr), in H4K8cr, K12ac, K16ac and in H1 variants (Fig EV4 and Appendix Fig S4C and E). In spermatozoa, some H3K79 methylation has been detected on persistent histones (Luense et al2016; Moretti et al2017) and a significant decrease in H3K79me1 and H3K79me2 levels was visible in Dot1l‐KO spermatozoa using LC–MS/MS. Apart from a modest increase in H3K18ac, no other changes were detected at this stage (Appendix Fig S4F).

Figure EV4. Quantification of histone H3 and H4 PTMs in Dot1l‐KO and CTL round spermatids.

Figure EV4

LC–MS/MS data acquired on H3 and H4 were processed as described in Fig 4. Quantitative data obtained on biological replicates (N = 3 for CTL and 3 for KO) were plotted as dots, and the height of the bars indicates the average value (mean ± SD). A.U. = arbitrary units. *P‐value < 0.05, **P‐value < 0.005, and ***P‐value < 0.0005, obtained with t‐tests.

All these observations indicate that Dot1l KO has a profound impact on postmeiotic chromatin in ES at the time of its reorganization, which disrupts histone‐to‐protamine transition and leads to a higher proportion of retained histones, transition proteins, and unprocessed protamine 2 in spermatozoa.

DOT1L regulates the expression of genes involved in essential processes of spermatid differentiation

In order to gain insight into the gene expression changes associated with Dot1l deficiency in male germ cells, we performed RNA‐Seq analyses on purified germ cells from three different spermatogenic stages, each in five replicates: primary spermatocytes (SC), secondary spermatocytes (SCII), and round spermatids (RS; Fig 5A). We did not include elongating/condensing spermatids in this analysis because their transcriptome is very similar to that of round spermatids, and, at this stage, transcription progressively shuts down as a consequence of histone‐to‐protamine transition and genome compaction. RNA‐Seq differential analyses showed hundreds of significantly deregulated genes in Dot1l‐KO versus CTL samples (DEseq2, with a Fold change > 1.5 and FDR < 0.05). In parallel, we performed a less stringent analysis (DEseq2, with a Fold change > 1.5 and P < 0.05, then a posteriori validation of FDR) and found between ~ 600 and 1,000 deregulated genes at each stage (Fig 5B and Appendix Fig S5A). With both analyses, the number of deregulated genes increased with progression of male germ cell differentiation and was therefore highest in RS (Fig 5B and Appendix Fig S5A), and approximately half of deregulated genes were found in common in at least two stages (Appendix Fig S5A). In the three cell types, more genes were found upregulated than downregulated in KO samples (Fig 5B) in agreement with results obtained recently in Dot1l‐KO somatic cells (Aslam et al2021; Cattaneo et al2022). To link gene deregulation in Dot1l‐KO mice with DOT1L methyltransferase activity, we compared deregulated genes with the genomic location of H3K79me2 that we obtained by ChIP‐seq in RS. H3K79me2 is the best characterized H3K79 methylation mark and is known to mark the body of transcriptionally active genes. H3K79me1 and me3 have similar trends, though broader for the former, and more restricted for the latter (Vlaming & van Leeuwen, 2016). Here, in wild type RS, H3K79me2 was found enriched at the body (with the strongest signal found near the Transcriptional Start Site) of genes which were downregulated in the KO but not those found upregulated (Fig 5C and Appendix Fig S5B). Observation of ChIP peaks confirmed the presence of H3K79me2 mark at down but not upregulated genes (Fig 5D).

Figure 5. Dot1l‐KO leads to the deregulation of genes involved in flagellum function, transcription regulation, chromatin organization, mitochondria function and apoptosis.

Figure 5

  • A
    Multi‐dimensional scaling plot on the 500 top genes in Dot1l‐KO versus CTLs primary spermatocytes (SC), secondary spermatocytes (SCII), and round spermatids (RS) using pairwise gene selection.
  • B
    MD plot of the genes found deregulated in Dot1l‐KO versus CTLs SC, SCII, and RS, using differential gene expression analyses with two different parameters (FDR < 0.05 and P‐value < 0.05).
  • C
    H3K79me2 enrichment profile at deregulated genes (same parameters as in B).
  • D
    H3K79me2 enrichment profile at selected deregulated genes, in two biological replicates of ChIP‐Seq performed in wild type RS (Rep#1 and 2). The input value is shown in gray.
  • E
    GSEA analysis of RNA‐Seq data from Dot1l‐KO versus CTL SC, SCII and RS. The figure shows all the biological pathways found significantly downregulated in Dot1l‐KO primary spermatocytes (SC), secondary spermatocytes (SCII), and round spermatids (P < 0.05), ranked by their enrichment score (ES).

Data information: See also Fig EV5 and Appendix Fig S5.

We next investigated deregulated pathways using GSEA (Gene Set Enrichment Analysis), a threshold‐free method which considers all genes based on their differential expression rank and found a downregulation of biological pathways related to apoptosis, transcription/RNA regulation, chromatin/chromosome organization, and mitochondria activity in Dot1l‐KO versus CTL round spermatids (Fig 5E). Prior to spermiogenesis, pathways related to cilium or flagellum motor activity were found downregulated in Dot1l‐KO primary spermatocytes while, in Dot1l‐KO secondary spermatocytes, pathways related to chromatin/chromosome organization were the most significantly deregulated (Fig 5E). When looking at gene ontology for “cellular components,” pathways related to ribosomal structure or to mitochondrial proteins were found deregulated in RS (Fig EV5). Strikingly, several Slc genes were found deregulated in Dot1l‐KO RS (Appendix Fig S5C). Slc genes encode solute carriers, and several of them have been implicated in sperm motility via their effects on flagellum differentiation and/or sperm energy production (Maruyama et al2016; Toure, 2019; Kuang et al2021).

Figure EV5. GSEA analysis of RNA‐seq data from Dot1l‐KO versus CTL SC, SCII, and RS.

Figure EV5

The figure shows all the “cellular components” found significantly downregulated in Dot1l‐KO primary spermatocytes (SC), secondary spermatocytes (SCII) and round spermatids (P < 0.05), ranked by their enrichment score (ES).

In agreement with the downregulation of pathways related to apoptosis, Bcl6, Jak3, and Tsc22d3 which encode proteins with anti‐apoptotic effects (Thomis et al1997; Kurosu et al2003; Aguilar et al2014) were found significantly downregulated in RS. Blc6 codes for a transcription repressor (Chang et al1996) and appears to be a direct target of DOT1L since it is downregulated upon Dot1l loss, and enriched in H3K79me2 in wild‐type RS (Fig 5E). Interestingly, an unsupervised search for DNA motifs identified BCL6/BCL6B DNA binding site as the most significantly enriched motif in the promoter of upregulated genes (15 upregulated genes, Appendix Fig S5D). This finding is in agreement with a model in which downregulated genes are direct H3K79me2/DOT1L targets while upregulated genes are indirect targets.

Discussion

In the present study, using a conditional knockout mouse model, we demonstrate that the H3K79 methyltransferase DOT1L is essential for gene regulation and chromatin remodeling during spermatid differentiation.

DOT1L is highly conserved among eukaryotes. In mammalian it has been extensively studied and found to be involved in many different biological processes such as mixed lineage leukemia (Okada et al2005; Nguyen et al2011), cell cycle (Kim et al2014), development (Jones et al2008), reprogramming (Onder et al2012), DNA damage repair (Lin et al2009; Zhu et al2018), or transcription activation (Steger et al2008; Wang et al2008). In the male germline, DOT1L is highly expressed at the RNA and protein levels, particularly in postmeiotic cells (Dottermusch‐Heidel et al2014a,b; Moretti et al2017). Before meiosis, DOTL1 has been found to be required for the self‐renewal of adult stem cells. Indeed, with a Dot1l KO induced by a Cre recombinase expressed earlier than the one used in the present study, Lin et al (2022) observed a progressive (age‐dependent) loss of all male germ cell types, ultimately resulting in a Sertoli cell only syndrome (i.e., absence of germ cells). In the Dot1l‐KO males we characterized here, we also found empty tubules as well as a decrease of all germ cell types, but milder, which enabled us to address the role of DOT1L in adult postmeiotic germ cells (i.e., spermatids). Strikingly, we found that Dot1l‐KO spermatozoa present multiple anomalies such as thinner and distorted flagella, cytoplasmic retention and impaired nuclear compaction. As a result, KO spermatozoa are less motile and their fertilizing ability is compromised. These defects are associated with the deregulation of hundreds of genes in Dot1l‐KO meiotic and postmeiotic germ cells. Previous studies have shown that spermatid differentiation is associated with the specific expression (or highly enriched expression) of thousands of genes, and that this genetic program starts as early as in primary spermatocytes (Soumillon et al2013; da Cruz et al2016; Chen et al2018; Green et al2018; Ernst et al2019). Here, our analyses indicate that pathways related to “cilium/flagellum assembly or motility” are deregulated from the spermatocyte stage, and those related to “nucleosome assembly, chromatin remodelling” are deregulated in secondary spermatocytes and round spermatids. A significant proportion of Dot1l‐KO spermatids undergo apoptosis and this was also visible by RNA‐Seq with the deregulation of “apoptosis” related pathways in RS, including the downregulation of genes with anti‐apoptotic effects such as Bcl6 or Jak3 (Thomis et al1997; Kurosu et al2003). Interestingly, several potential BCL6 target genes were identified among the genes which are upregulated in Dot1l‐KO spermatids. Like other upregulated genes, most of them are devoid of H3K79me2 in wild type spermatids and may not be directly regulated by DOT1L. In contrast, Bcl6 and many other downregulated genes in Dot1l‐KO spermatids are marked by H3K79me2 in wild‐type cells and are likely directly regulated by DOT1L. Our findings are in agreement with recent studies in which Dot1l knockout was investigated in B cells, T cells or cardiomyocytes. Each time, H3K79me2 was found to be enriched at the body of downregulated genes but not of upregulated genes (Kwesi‐Maliepaard et al2020; Aslam et al2021; Cattaneo et al2022).

Strikingly, many genes encoding members of the solute carrier family were deregulated in Dot1l‐KO male germ cells. Several members of this family such as Slc22a14 and Slc26a8 have previously been implicated in sperm motility via their effects on flagellar differentiation and/or sperm energy production (Maruyama et al2016; Toure, 2019; Kuang et al2021); the deregulation of Slc genes with similar function could, therefore, contribute to the sperm flagellar and motility defects of Dot1l‐KO males. Overall, these data indicate that Dot1l‐KO‐induced gene deregulation is responsible for the multiple defects of postmeiotic male germ cell differentiation.

In addition to being involved in the regulation of spermatid gene expression, we show that DOT1L is essential for spermatid chromatin remodeling and subsequent reorganization and compaction of spermatozoon genome. Indeed, the chromatin of Dot1l‐KO spermatozoa is less compact, and characterized by a higher level of retained histones, of transition protein 2, and of immature forms of protamine 2, as well as altered protamine 1/2 ratio. Several other studies have observed similar anomalies in particular retained histones and immature forms of protamine 2, as a result of incomplete histone‐to‐protamine transition, such as Tnp1‐KO (transition protein 1; Yu et al2000), H2al2‐KO (H2A histone family member L2A; Barral et al2017), deletion of the mouse Y chromosome long arm (Yamauchi et al2010), or Kat2a –KO (a.k.a. Gcn5) which encodes the lysine acetyltransferase 2A (Luense et al2019). Similarly, a recent study has shown that aberrant pre‐PRM2 cleavage leads to altered levels of histone variants and transition proteins in sperm (Arevalo et al2022). In all those mouse models as well as in the Dot1l‐KO presented here, abnormal sperm chromatin content is associated with fertility problems. This is also the case in humans, since impaired protamine 1/2 ratio and accumulation of pre‐PRM2 are associated with male infertility (Torregrosa et al2006; de Mateo et al2009).

In elongating spermatids, histones—in particular histone H4—are hyperacetylated prior to their replacement. This phenomenon is a prerequisite for histone‐to‐protamine transition as it creates a permissive state for histone removal (for reviews see Oliva, 2006; Rathke et al2014; Bao & Bedford, 2016). H3K79me2/3 levels peak at the time of H4 hyperacetylation (Dottermusch‐Heidel et al2014a,b; Moretti et al2017) and we show here that both H3K79 methylation and H4 hyperacetylation are drastically and specifically reduced in Dot1l‐KO elongating spermatids. Several acetyltransferases are involved in H4 hyperacetylation such as KAT2A, CBP‐P300, or NuA4 complex (Boussouar et al2014; Shiota et al2018; Luense et al2019) but none of them was found deregulated in Dot1l‐KO spermatids. We, therefore, propose that the decrease in histone acetylation is a consequence of impaired H3K79 methylation. In other contexts than the male germline, H4 acetylation and H3K79 methylation have previously been shown to influence each other in different ways. In 2016, Gilan et al proposed that DOT1L‐mediated H3K79me2 leads to a more open chromatin which facilitates the recruitment of the histone acetyltransferase P300 which, in turn, increases histone H4 acetylation (in particular, H4K5ac), in a cell model of acute myeloid leukemia (Gilan et al2016). In contrast, H4K16ac has been shown to stabilize the binding of yeast Dot1 and human DOT1L on the nucleosome and consequently stimulates its methyltransferase activity in vitro (Valencia‐Sanchez et al2021). In elongating spermatids, H3K79 methylation and H4 acetylation could therefore contribute to increase each other signal. It would be interesting to test if H3K79 methylation level is affected in spermatids in which histone acetylation is impaired, for instance in Kat2a knockout spermatids.

In our study, we also observed a decrease in the three methylation states of H4K20 in elongating spermatids. This is in line with the observation made by Jones et al (2008) that H4K20 tri‐methylation level is reduced at centromeres and telomeres of Dot1l‐KO embryonic stem cells. H3K9 di‐methylation (but not tri‐methylation) was also found reduced in KO embryonic stem cells, but this histone PTM could not be detected in our analyses. Methylation of H4K20 has been shown to be associated with chromatin accessibility. H4K20me1, by changing the conformation of nucleosomes, increases accessibility for other factors involved in DNA processing and expression (Shoaib et al2021). In contrast, H4K20me2 and H4K20me3 are associated with chromatin compaction (Evertts et al2013). For the moment, the impact of these marks during spermatid differentiation is unknown, but H4K20me3 is one of the most dynamic histone modifications during spermatogenesis, with a peak in elongating spermatids; H4K20me2 follows the same pattern but is less abundant than H4K20me3 (Luense et al2016; Wang et al2021). One can, therefore, speculate that H4K20 methylation is also important for histone to protamine transition. Interestingly, Ho et al (2021) have found that the H4K20me1 methyltransferase, SET8, and DOT1L (which is a non‐SET domain methyl‐transferase) bind to the nucleosomal acidic patch by a similar mechanism. Further work will be needed to understand the mechanism by which DOTL1 and/or H3K79 methylation may influence H4K20 methylation.

Other, more modest quantitative changes in histone PTMs and variants were observed in elongating spermatids. They could be compensatory mechanisms for H3K79 methylation or H4 acetylation decrease, as observed in Th2b knock‐out spermatids where H2B was upregulated and several histone PTMs changed to compensate for the loss of H2B variant TH2B (Montellier et al2013). The deregulation of genes associated to “chromatin function” could also contribute to the changes in chromatin content observed in Dot1l‐KO spermatids.

In conclusion, our data show that DOT1L is indispensable for the differentiation of postmeiotic germ cells into functional spermatozoa. Indeed, DOT1L regulates the expression of genes essential for spermatid differentiation and, DOT1L‐mediated H3K79 methylation is necessary for proper histone H4 hyperacetylation in elongating spermatids and for an efficient histone‐to‐protamine transition and subsequent compaction of the sperm chromatin.

Materials and Methods

Mouse strains and genotyping

Conditional Dot1l knockout mice were obtained from the Knockout Mouse Project (CSD29070; to F.V.D.). This line has previously been described in (Jo et al2011). In these mice, Dot1l exon 2 is flanked by loxP sites (see Appendix Fig S1D). Recombination of loxP sites by Cre recombinase leads to the deletion of exon 2 and consequently a frameshift and premature stop codon in Dot1l Coding DNA sequence. Tg(Stra8‐iCre)1Reb/J were obtained from the Jackson lab (JAX stock #017490; Sadate‐Ngatchou et al2008). All animals analyzed in this study were from a C57BL6/J background. Genotypes of animals were determined by polymerase chain reaction (PCR) using Dot1l primers F + R1 + R2 (Appendix Fig S1D) or iCre primers as described on the Jackson lab website. The latter PCR was performed with Ymtx internal control (see Appendix Table S1 for primer list and sequences).

Unless specified, all experiments were performed on (adult) 3–5‐month‐old males. Reproductive parameters were analyzed on two types of Dot1l knocked‐out animal models. First, on animals hosted in a conventional animal house (cah) and of the following genotypes: Dot1l Fl/Fl ; Stra8‐Cre mice (DOT1Lcah) and Dot1l Fl/Fl siblings (without Stra8‐Cre transgene) as controls (CTLcah). Second, on animals hosted in a Specific Pathogen‐Free (SPF) animal house and of the following genotypes: Dot1l Fl/ ; Stra8‐Cre (hereafter called DOT1L‐KO) and Dot1l Fl/Fl siblings as controls (hereafter called CTL). Analyses of the reproductive parameters of both types of KO males (Dot1l Fl/Fl ;Stra8‐Cre or Dot1l Fl/ ; Stra8‐Cre) gave similar results (Appendix Fig S2A and B). Heterozygous Dot1l Fl/ males (HET) were also analyzed. They did not differ from controls (Appendix Fig S2A–E). Dot1l Fl/ ; Stra8‐Cre animals were generated because it had been shown that Stra8‐iCre is not 100% efficient (Bao et al2013). In these animals, one allele of Dot1l is floxed and one allele is already deleted (∆) to increase the efficiency of floxed exon excision upon Cre recombinase expression. Nevertheless, some remaining DOTL1 protein signal was observed by western blot and Immunofluorescence (see Fig 1B and D and Appendix Fig S1E–I). All other phenotypic analyses and all molecular analyses were performed on Dot1l Fl/ ; Stra8‐Cre, hereafter called Dot1l‐KO, and on Dot1l Fl/Fl siblings as CTL. Mice from mTmG line (Muzumdar et al2007) were crossed to Stra8‐Cre line to verify Stra8‐Cre recombinase location and activity.

The mice were fed ad libitum with a standard diet and maintained in a temperature‐ and light‐controlled room. Animal procedures were approved by Universite de Paris ethical committee (Comite d'Ethique pour l'Experimentation Animale; registration number CEEA34.JC.114.12, APAFIS 14214‐2017072510448522v26).

Fertility tests

Dot1l‐KO and CTL males, aged from 8 to 10 weeks, were housed with two wild‐type C57BL6/J females per cage (aged from 6 weeks, Janvier Labs, France) for up to 4 months. Vaginal plugs were checked and females separated when found. For each group, litter size and number were assessed.

Another series of test were performed too evaluate the fertilization rate following mating (in vivo fertilization). For this WT females were first superovulated by injection of 5 IU of PMSG (pregnant mare's serum gonadotrophin; Intervet, France) followed by 5 IU of hCG (human chorionic gonadotrophin; Intervet) 48 h later. Females were then mated with WT or Dot1l‐KO males at night and the next day females with a vaginal plug were isolated. Oocytes were collected from ampullae of oviducts and freed from the cumulus cells by brief incubation at 37°C with hyaluronidase (Sigma, St. Louis, MO, USA) in M2 medium (Sigma). Oocytes were rinsed and the number of fertilized oocytes was evaluated using DAPI immune‐fluorescent staining to visualize the DNA.

IVF

Oocyte preparation

WT C57BL6/J female mice aged 6–8 weeks (Janvier Labs, France) were superovulated with 5 IU of pregnant mare serum gonadotropin (PMSG) and 5 IU human chorionic gonadotropin (hCG; Intervet, France) 48 h apart. About 14 h after hCG injection, animals were sacrificed by cervical dislocation. Cumulus oocyte complexes were collected by tearing the ampulla wall of the oviduct, placed in Ferticult medium (FertiPro N.V, Belgium) supplemented with 3% BSA (Sigma–Aldrich), and maintained at 37°C under 5% CO2 in air under mineral oil (FertiPro N.V, Belgium). When experiments were performed with Zona‐free oocytes, cumulus cells were first removed by a brief exposure to hyaluronidase IV‐S (1 mg/ml, Sigma–Aldrich). The zona pellucida was then dissolved with acidic Tyrode's (AT) solution (pH 2.5; Sigma–Aldrich) under visual monitoring. Zona‐free eggs were rapidly washed five times and kept at 37°C under 5% CO2 in air for 2–3 h to recover their fertilization ability.

Capacitated sperm preparation: mouse spermatozoa were obtained from the cauda epididymides of DOT1L‐KO, CTL, HET and WT C57BL6/J males (aged 8–12 weeks) and capacitated at 37°C under 5% CO2 for 90 min in a 500 μl drop of Ferticult medium supplemented with 3% BSA, under mineral oil.

In vitro fertilization: cumulus‐intact and Zona‐free eggs were inseminated with capacitated spermatozoa for 3 h in a 100 μl drop of Ferticult medium, 3% BSA at a final concentration of 106 or 105 per ml, respectively. Then, they were washed and directly mounted in Vectashield/DAPI (Vector laboratories, CA, USA) for observation under UV light (Nikon Eclipse E600 microscope). Only oocytes showing at least one fluorescent decondensed sperm head within their cytoplasm were considered fertilized.

Testicular germ cell purification by elutriation or FACS

Germ cells were purified from adult males using fluorescence‐activated cell sorting (FACS) or elutriation as previously described in (Cocquet et al2009; Comptour et al2014) and more recently in (Crespo et al2020). Elutriated fractions with a purity ∼ 95–99% for elongating/condensing spermatids and ~ 80% for round spermatids, were used for LC–MS/MS analyses. Highly enriched fractions of primary or secondary spermatocytes (> 90%) and round spermatids (∼ 99%) were used for RNA‐Seq analyses. Flow cytometric analysis of testicular cell suspension were performed as previously described (Corbineau et al2017; Ragazzini et al2019).

Sperm collection and purification with Percoll

Spermatozoa were extracted from cauda epididymis in pre‐warmed (37°C) M2 medium (Sigma‐Aldrich) by gentle pressure. Then, epididymides were perforated with a thin needle and incubated in M2 for 10 min at 37°C to allow remaining sperm to swim up. For molecular analyses, spermatozoa were next purified on a Percoll gradient. In brief, spermatozoa were centrifuged at 2,000 g for 10 min and pellets incubated in somatic cell lysis buffer (1× PBS, 0.1% SDS, 0.5% Triton X‐100) for 10 min on ice. Sperm cells were washed with PBS‐BSA (1× PBS, 0.5% BSA, 2 mM EDTA) and briefly sonicated to remove flagella (ON 5 s – OFF 30 s × 3 Cycles, bioruptor Pico, Diagenode). The samples were transferred in low retention tubes, loaded on 50% Percoll (Sigma‐Aldrich) and centrifuged at 2,500 g for 5 min to remove somatic cells and flagella. This step was repeated once and sperm cells were washed in PBS‐BSA twice and counted (minimum 1,000 cells). The purity was > 99.7%. Spermhead pellets were snap‐frozen in liquid nitrogen and stored at −80°C prior to use.

Nucleoplasmin decompaction

Experiments were performed as previously described in (Yamaguchi et al2018). Following Percoll purification, sperm heads were washed in 1× PBS, 0.5% Tween, permeabilized with 0.02 U/M Streptolysin O (Sigma‐Aldrich) in 1× PBS for 10 min on ice and washed once with 1× PBS, 0.5% Tween. Cells were then incubated with 1× PBS containing 1 mM DTT for 10 min at 37°C, washed with 1× PBS, 0.5% Tween, resuspended in KH buffer (100 mM KCl, 20 mM Hepes‐KOH, pH 7.7) in low retention tubes and stored at −80°C for later use. Ten million of sperm heads were resuspended in 1 mL NPM treatment buffer (20 mM HEPES‐KOH, pH 7.7, 100 mM KCl, 2.5 mM MgCl2, 5 mM Na‐But, 10 mM DTT, 1X complete EDTA‐free protease inhibitors, 250 μM NPM) and incubated for 2 h at 37°C in a Thermomixer (Mixer HC, Starlab) at 1,000 rpm. After centrifugation at 20,000 g for 5 min at 4°C, cells were washed with 5 mM Na‐But in 1× PBS, 0.5% Tween twice and sperm heads were fixed with 1% PFA for 10 min at RT, quenched with 250 mM glycine and washed in 5 mM Na‐But in PBS/Tween 0.5% twice.

After fixation, sperm pellets were resuspended in NP40 Buffer (10 mM Tris–HCl, pH 8.0, 10 mM NaCl, 0.5% NP40, 1× complete EDTA‐free protease inhibitors, Sigma Aldrich) and incubated on ice for 30 min. Samples were washed with 1× PBS, 0.5% Tween, 5 mM Na‐But, and resuspended in 200 μl of sonication buffer (10 mM Tris–HCl, pH 8.0, 20% glycerol, 0.25% SDS, 5 mM Na‐But, 1× complete EDTA‐free protease inhibitors). Sperm cells were sonicated (ON 30s – OFF 30s x13 cycles, Bioruptor Pico, Diagenode) and the sheared chromatin was centrifuged at 20,000 g for 10 min at 4°C. Supernatants were transferred in new 1.5 ml tubes and pellets resuspended in 200 μl of KH buffer. Prior to western blot analyses, both supernatant and pellets were resuspended in 4× NuPage/10% β‐mercapto‐ethanol (ThermoFisher), heated 10 min at 95°C and briefly sonicated.

Histone extraction from spermatozoa

Experiments were performed as described in (Crespo et al2020) with minor modifications. In brief, 5 million of Percoll‐purified and sonicated spermheads were incubated in 50 mM DTT for 30 min (at 4°C) then mixed with sulfuric acid (0.4 M final volume), sonicated and acid extracted with 20% trichloroacetic acid (TCA). Histone pellets were washed with cold acetone containing 0.05% HCl, dried at room temperature, and resuspended in 50 μl of SDS–PAGE loading buffer containing 10% β‐mercaptoethanol.

Western blot

Electrophoresis was performed in polyacrylamide gels at 120 V in denaturating buffer containing 25 mM Tris Base, 190 mM glycine, 0.1% SDS, and proteins were transferred on nitrocellulose membranes (GE Healthcare). Membranes were then rinsed and incubated 3 min in Ponceau stain to visualize transfer efficiency. Then membranes were incubated in 1× PBS, 0.01% Tween, 5% milk. All primary antibodies were incubated over night at 4°C (see Appendix Table S2 for references and dilutions) and 2 h at room temperature for secondary antibodies. The revelation was performed with SuperSignal West Pico Plus® ECL from ThermoFisher (34580) and Immobilon ECL Ultra Western HRP substrate from Millipore (WBULS0100) on ImageQuant™ LAS 4000 imager.

Extraction and analysis of protamines

PRM1/PRM2 protamine ratio was analyzed following procedures of protamine‐rich fraction of sperm nuclear proteins extraction and analysis previously described, with minor modifications (Soler‐Ventura et al2018). Briefly, histones and other basic proteins loosely attached to DNA were extracted incubating sperm in 0.5 M HCl for 10 min at 37°C after vortexing, and centrifuged at 2,000 g 20 min at 4°C. This step was repeated three times. Resulting pellet was resuspended in 0.5% Triton X‐100, 20 mM Tris–HCl (pH 8), and 2 mM MgCl2. After centrifugation at 8,940 g 5 min at 4°C, the sediment was resuspsended in milliQ H2O with 1 mM PMSF, centrifuging again at the same conditions. Chromatin was then denaturated by resuspending the pellets in 20 mM EDTA, 1 mM PMSF, 100 mM Tris–HCl‐ pH8 and adding 1 volume of 575 mM DTT in 6 M GuHCl prior vortexing. The solution was incubated at 37°C with 0.8% 4‐vynilpyridine to inhibit cysteine disulfide bonds for 30 min, vortexing every 5 min, in fumehood and in dark conditions. Chromatin was then precipitated with a minimum of 10 min incubation with cold ethanol at −20°C, followed by centrifugation 12,880 g for 15 min at 4°C. Basic nuclear proteins (protamine‐enriched fraction) were extracted from DNA incubating with 0.5 M HCl at 37°C and recovered in the supernatant after centrifugation at 17,530 g for 10 min at 4°C. Precipitation was carried out with 20% TCA on ice and centrifugation using the same conditions. Protamines were washed twice with 1% β‐mercaptoethanol in acetone and dried out at room temperature. For in‐gel quantification, dried purified extracts were resuspended 5.5 M urea, 20% β‐mercaptoethanol, 5% acetic acid, and separated using acetic acid urea gel electrophoresis (AU‐PAGE). Gels were stained with EZBlue™ Gel Staining Reagent (#G1041, Sigma Aldrich) and optic density of the bands corresponding to mouse PRM1 and PRM2 was quantified using Quantity One 1‐D analysis software (BioRad, Hercules, CA, USA) to calculate the PRM1/PRM2 ratio. PRM1/PRM2 ratios were normalized against the mean value of the control group.

For western blot detection, basic nuclear protein extracts from 2.1 M spermatozoa were loaded into AU‐PAGE. Proteins were then transferred towards the negative pole onto a 0.45‐μm pore size nitrocellulose membrane (88018, ThermoFisher) for 4 h at 4°C using an acidic transfer buffer consisting of 0.9 mM acetic acid. The rest of the procedure (blocking, antibody incubation, and ECL detection) was similar as for other western blot experiment (see dedicated paragraph above).

Histological analyses

Mouse testes were fixed in 4% buffered paraformaldehyde (PFA) for minimum 4 h, before they were cut in halves and incubated overnight in Bouin (Sigma). Testes were then washed in 70% ethanol at room temperature for 30 min, dehydrated, and embedded in paraffin. Four‐micrometer sections were stained with periodic acid–Schiff (PAS).

Immunohistochemistry and immunofluorescence

Mouse testes were fixed in 4% buffered paraformaldehyde (PFA) for minimum 4 h, before they were cut in halves and incubated overnight in 4% PFA. Testes were then washed in 70% ethanol at room temperature for 30 min, dehydrated, and embedded in paraffin. Immunohistochemistry or immunofluorescence experiments were performed on 4‐μm sections using Novolink polymer detection system (7140‐K, Leica Micro‐systems) according to the manufacturer's instructions, or following the procedure described in (Comptour et al2014) with the following modifications. Permeabilization was performed for 15 min in 1× PBS, 0.5% Triton X‐100. Blocking was performed for 30 min to 1 h at room temperature in 1× PBS, 0.1% Tween, 1% BSA. Primary antibody was incubated overnight at 4°C (dilution and reference of each antibody are available in Appendix Table S2). Some slides were counterstained with Hematoxylin. For immunofluorescence experiments, lectin (L‐21409 or L‐32459, ThermoFisher) was diluted at 1/500 in 1× PBS and incubated for 1 h at room temperature along with secondary antibodies (see Comptour et al2014). Lectin was used to stain the developing acrosome and determine the stage of testis tubules as described in (Ahmed & de Rooij, 2009). DAPI (in VECTASHIELD Mounting Medium, Vectorlab) was used to stain nuclei. TUNEL assay was performed on 4‐μm paraffin‐embedded testicular sections using In Situ Cell Death Detection Kit, Fluorescein as described by the manufacturer (Roche, Sigma‐Aldrich). GFP immunofluorescence pictures were taken with a NikonE600 microscope using the Nikon Digital Sight SD‐V3 camera (DS‐Fi1) with the NIS software. All other immunofluorescence pictures were taken with an Olympus BX63 microscope and analyzed using ImageJ 1.48v (http://imagej.nih.gov/ij/). Immunohistochemistry pictures were taken with Perkin Elmer Lamina slide scanner and analyzed using CaseViewer software.

Papanicolaou staining of spermatozoa

Spermatozoa were collected from cauda epididymides in M2 medium (Sigma‐Aldrich) and spread onto a Superfrost Plus slide (ThermoFisher). Cells were fixed in 4% PFA for 10 min and stained using Papanicolaou staining. Briefly, the slides were washed in 95% ethanol, incubated in Harris hematoxylin for 3 min for nucleus counterstaining, washed and stained with OG‐6 dye (RAL diagnostics 05.12013, Martillac, France) and with EA‐50 (RAL diagnostics 05.12019, Martillac, France). The slides were then dehydrated and mounted with permanent mounting medium. Spermatozoa were then observed with NikonE600 optic microscope and pictures were taken with the 40X objective.

Electron microscopy

Ten to 20 million epidydimal spermatozoa were collected in 2 ml of fresh M2 medium (Sigma‐Aldrich) prewarmed at 37°C. After pelleting the sperm at room temperature (300 g, 10 min), the pellet was fixed in 3% glutaraldehyde for 1 h before washing twice in 1× PBS (1,000 g, 10 min). Samples were then dehydrated in ethanol baths and incubated in propylene oxide before inclusion in gelatin. Slices of 60 nm were cut with a Diatome and observed with a JEOL 1011 microscope at a magnification of 1,500× or 2,000×.

Computer assisted sperm motility analysis (CASA)

Immediately after collection of epididymal spermatozoa in M2 medium (Sigma‐Aldrich), sperm motility was analyzed by computer‐assisted sperm analysis (CASA) systems CASA CEROS II (Hamilton Thorne, Beverly, MA, USA), using a Zeiss microscope.

Sample preparation for RNA‐Seq

Total RNA from 150,000 to 600,000 cells of sorted primary spermatocytes (SCI), secondary spermatocytes (SCII) and round spermatids (RS) was extracted using the Ambion RNAqueous micro kit (ThermoFisher) following manufacturers' instructions. For each cell type, five replicates were analyzed. Quantity and quality were assessed using Bioanalyzer chips (ThermoFisher). Libraries were prepared using the NEBNext Ultra II Directional RNA Library Prep Kit (New England Biolabs) according to supplier recommendations. Paired‐end sequencing of 100‐bp reads was then carried out on the Illumina HiSeq4000 system.

RNA‐Seq analyses

Snakemake was used for RNA‐seq analyses (Koster & Rahmann, 2018; v. 3.9.0). Adaptors were trimmed and reads with poor quality (quality < 20) were filtered out with BBduk from BBTools (v. 38.23, https://sourceforge.net/projects/bbmap/). Alignment was performed on the mouse genome build mm10 (GRCm38.p6) using STAR (Dobin & Gingeras, 2015; v. 2.7.2d) and Gencode vM19 gene annotation GTF with following arguments: ‐‐outMultimapperOrder Random ‐‐quantMode Genecounts ‐‐sjdbOverhang 74. For each sample, the number of aligned reads was converted in cpm (count per million). Genes with an expression level of at least > 1 cpm in a minimum of two samples were included in the analysis, to exclude genes with a very low expression. Differential expression analysis was carried out using DESeq2 (Love et al2014) and edgeR (Robinson et al2010) packages using default parameters and a design using genotype and cell type. Differentially expressed genes (FDR < 5%) were obtained using glmTreat edgeR's function which conducts a modified likelihood ratio test (LRT) against the fold change threshold (> 1.5). This method is based on TREAT method (McCarthy & Smyth, 2009). Two analyses were performed in parallel: one selecting the deregulated genes with a FDR < 5% (adjusted P‐values), and one selecting deregulated genes with a P‐value < 5% (non‐adjusted P‐values). On this second category of genes, the FDR was calculated a posteriori using Benjamini–Hochberg correction (Benjamini & Hochberg, 1995) and was confirmed to be < 5%. Enrichment analysis was performed with GSEA (v. 4.0.3, c5.all.v7.1.symbols.gmt, GO cellular components, biological pathways, or all) on gene expression cpm values between KO and control samples (Subramanian et al2005; Appendix Fig S5E). Beforehand, mouse Ensembl gene ID were converted to human Ensembl gene ID (hg38) with the biomaRt R package (Durinck et al2005). The search for DNA motif in the promoter regions of deregulated genes was performed using HOMER (Heinz et al2010) with the findMotifs.pl function and the following parameters: ‐start ‐2000 ‐end 0.

To generate Appendix Fig S1B, we used https://rgv.genouest.org/ (Darde et al2015, 2019).

ChIP‐Seq analyses

Snakemake was used for ChIP‐Seq analyses. Adaptor were trimmed and filtered using the same parameters than RNA‐Seq analyses. Alignment was performed on the mouse genome (mm10) using bowtie2 (Langmead & Salzberg, 2012) with the following arguments: ‐‐local. Peak calling was process with MACS2 (Zhang et al2008) with default parameters against input file to obtains peaks enrichment score of H3K79me2. Mitochondrial peaks and peaks with FDR > 5% were filtered. Peaks were annotated with the R package ChIPseeker (Yu et al2015) using the annotatePeak() function with the following parameters tssRegion = c(−3000,3000).

Code availability

The fully reproducible and documented analysis for RNA‐Seq and ChIP‐Seq is available on github at https://github.com/ManonCoulee/RNAseq_DOT1L_Blanco_2022.

MS quantification of histone PTMs and of histone variants

To identify histone PTMs, samples were prepared and processed essentially as described in Crespo et al (2020). Briefly, histones were precipitated by acid extraction from whole testes which were beforehand reduced into powder using a pestle and mortar on dry ice, or from elutriated elongating/condensing spermatids (ES). They were resuspended in loading gel buffer (LDS sample buffer reference 84788, supplemented with NuPAGE sample reducing agent reference NP0009, ThermoFisher) and separated on a 4–12% NuPAGE acrylamide gel (reference NP0321BOX, ThermoFisher). After blue staining (SimplyBlue SafeStain, ThermoFisher), gel bands corresponding to H3 (at about 17 kDa) and H4 (at about 14 kDa) and two gel slices in‐between containing H2A and H2B, were cut and then reduced with dithiothreitol, alkylated with iodoacetamide and in‐gel digested with 0.1 μg trypsin (V511, Promega) per slice using a Freedom EVO150 robotic platform (Tecan Traging AG, Switzerland). Alternatively, to analyze the relative abundance of histone variants between conditions, histone samples were simply loaded on a gel and migrated for a few millimeter. The whole zone was cut for robotic in‐gel tryptic digestion. The resulting tryptic peptides were analyzed by a liquid chromatography–tandem mass spectrometry coupling made up of a C18 reversed‐phase capillary column (75 μm i.d. × 25 cm ReproSil‐Pur C18‐AQ, 1.9 μm particles, Cluzeau, France) using the UltiMate™ 3000 RSLCnano system (ThermoFisher) coupled to a Q‐Exactive HF mass spectrometer (ThermoFisher). The mobile phases consisted of water with 0.1% formic acid (A) and acetonitrile with 0.08% (v/v) formic acid (B). Peptides were eluted with a gradient consisting of an increase of solvent B from 2.8% to 7.5% for 7.5 min, then from 7.5% to 33.2% over 33.5 min and finally from 33.2% to 48% over 6.5 min. Mass spectrometry acquisitions were carried out by alternating one full MS scan with Orbitrap detection acquired over the mass range 300 to 1,300 m/z and data‐dependent MS/MS spectra on the 10 most abundant precursor ions detected in MS. The peptides were isolated for fragmentation by higher energy collisional dissociation (HCD) with a collision energy of 27.

Identification of modified peptides was obtained using our in‐house established database of histone sequences, MS_histoneDB (El Kennani et al2017), completed with a list of 500 common contaminants. MS/MS data interpretation was carried out with the program Mascot (http://www.matrixscience.com/) with the following search parameters. The precursor and fragment mass tolerances were 5 ppm and 25 mmu, respectively; enzyme specificity was trypsin; the maximum number of trypsin missed cleavages was set to 5, carbamidomethyl (Cys) was specified as a fixed modification. We indicated as variable PTMs in Mascot acetylation, crotonylation, and ubiquitination (more precisely the dipeptide “GlyGly”) of Lys residues, methylation and di‐methylation of Lys/Arg and tri‐methylation of Lys, as well as N‐terminal acetylation of proteins. Filtering of peptide identifications and quantification was performed by using the program Proline (Bouyssie et al2020). All peptide/spectrum matches of scores below 15 were filtered out; next, all identifications of modified peptides suggested by Mascot for H3 and H4 were visually validated by demanding that a continuous stretch of minimally 5 amino acids be identified in terms of b or y fragment ions, and by ascertaining PTM positioning on Lys/Arg residues. This score threshold is very low, yet it was relevant to use so as to be able to identify very short peptides, such as H3‐K18modQLATK. When interpreting our mass spectrometry data against the database MS_histoneDB, we were able to identify and quantify various H3 variants, namely canonical H3 and variants H3.3, testis‐specific H3t, and H3mm13. H3t differs from canonical H3 at residue 24, while H3.3 and H3mm13 differ from H3 at residues 31 and 29. To estimate the relative abundance of modified histone peptides between samples, normalization to be at constant amount of total H2A, H2B, H3, or H4 was done by dividing the raw MS signals of modified peptides by the sum of the MS signals of modified and unmodified peptides for each histone. To estimate the relative abundance of histone variants between Dot1l‐KO and CTL samples, variants were quantified by Proline by relying only on peptides specific of these sequences. Samples were normalized to be at constant amount of histone H4. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE (Perez‐Riverol et al2019) partner repository with the dataset identifier PXD030734.

Statistical analysis

Chi‐square and unpaired t‐test were used to analyze IVF data. Sperm motility parameters were analyzed using a Mann–Whitney tests following angular transformation of percentages. To compare the incidence of sperm head abnormalities, and apoptotic (TUNEL+) spermatids between Dot1l‐KO and CTL, percentages were converted in angles prior to performing t‐tests. Student t‐test (corrected for multiple testing when appropriate) was used for all other analyses (fertility, sperm count, testis weight, histology, histone PTM, western blot, and normalized PRM1/2 ratio quantifications). Statistical analyses for RNA‐Seq/ChIP‐Seq are described in the dedicated paragraphs.

Author contributions

Melina Blanco: Formal analysis; methodology; writing – original draft. Laila El Khattabi: Conceptualization; formal analysis; writing – review and editing. Clara Gobé: Formal analysis; methodology. Marion Crespo: Formal analysis; visualization. Manon Coulée: Formal analysis; visualization. Alberto de la Iglesia: Formal analysis; methodology. Côme Ialy‐Radio: Formal analysis. Clementine Lapoujade: Formal analysis. Maëlle Givelet: Formal analysis. Marion Delessard: Formal analysis. Ivan Seller‐Corona: Formal analysis. Kosuke Yamaguchi: Resources; methodology. Nadége Vernet: Formal analysis. Fred Van Leeuwen: Resources. Alban Lermine: Resources. Yuki Okada: Resources; methodology. Romain Daveau: Resources; formal analysis. Rafael Oliva: Resources. Pierre Fouchet: Conceptualization; formal analysis. Ahmed Ziyyat: Conceptualization; formal analysis. Delphine Pflieger: Conceptualization; formal analysis; funding acquisition; methodology; writing – review and editing. Julie Cocquet: Conceptualization; formal analysis; supervision; funding acquisition; investigation; writing – original draft; project administration; writing – review and editing.

Disclosure and competing interests statement

The authors declare that they have no conflict of interest.

Supporting information

Appendix

Expanded View Figures PDF

PDF+

Source Data for Figure 1

Source Data for Figure 2

Source Data for Figure 3

Source Data for Figure 4

Acknowledgements

We would like to thank Cochin Institute (INSERM U1016, CNRS UMR8104, Universite Paris Cité) core facilities, in particular, Alain Schmitt from the electron microscopy platform, and all the staff from the animal house, histology (HistIM), genomic (GENOM'IC), cytometry (CYBIO), and imaging (IMAG'IC) core facilities. We would also like to thank Guillaume Meurice for advices on bioinformatics analyses, and Aminata Touré and Marjorie Whitfield for advices and discussion on sperm morphology and motility analyses. M.Cr. and D.P. are grateful to their colleagues in EDyP for their support on LC–MS instruments and in informatics. This work was supported by the Agence Nationale de la Recherche (ANR‐17‐CE12‐0004‐01 to J.C., ANR‐21‐CE44‐0035 to D.P.), the Fondation pour la Recherche Médicale (SPF201909009274 to C.G.) and grants from Institut Cochin (PIC‐2018 to L.E.K.), “Ministerio de Economía y competitividad” FI17/00224 to A.I., and “Ministerio de Ciencia e Innovación” PI20/00936 to R.O. and MV20/00026 to A.I. M.B and M.Co. received a PhD funding from Université Paris Cité, M.Cr., from University Grenoble Alps (UGA). The proteomic experiments were partially supported by Agence Nationale de la Recherche under projects ProFI (Proteomics French Infrastructure, ANR‐10‐INBS‐08) and GRAL, a program from the Chemistry Biology Health (CBH) Graduate School of University Grenoble Alpes (ANR‐17‐EURE‐0003). This publication is also based upon work from COST Action CA20119 (ANDRONET) supported by European Cooperation in Science and Technology (www.cost.eu).

EMBO reports (2023) 24: e56316

Data availability

RNA‐Seq data have been submitted to ENA repository under project number PRJEB50887 (https://www.ebi.ac.uk/ena/). H3K79me2 ChIP‐Seq project number is PRJNA643726. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE (Perez‐Riverol et al2019) partner repository with the dataset identifier PXD030734 (https://www.ebi.ac.uk/pride/).

References

  1. Aguilar D, Strom J, Chen QM (2014) Glucocorticoid induced leucine zipper inhibits apoptosis of cardiomyocytes by doxorubicin. Toxicol Appl Pharmacol 276: 55–62 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Ahmed EA, de Rooij DG (2009) Staging of mouse seminiferous tubule cross‐sections. Methods Mol Biol 558: 263–277 [DOI] [PubMed] [Google Scholar]
  3. Arevalo L, Merges GE, Schneider S, Oben FE, Neumann IS, Schorle H (2022) Loss of the cleaved‐protamine 2 domain leads to incomplete histone‐to‐protamine exchange and infertility in mice. PLoS Genet 18: e1010272 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Aslam MA, Alemdehy MF, Kwesi‐Maliepaard EM, Muhaimin FI, Caganova M, Pardieck IN, van den Brand T, van Welsem T, de Rink I, Song JY et al (2021) Histone methyltransferase DOT1L controls state‐specific identity during B cell differentiation. EMBO Rep 22: e51184 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Bao J, Bedford MT (2016) Epigenetic regulation of the histone‐to‐protamine transition during spermiogenesis. Reproduction 151: R55–R70 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Bao J, Ma HY, Schuster A, Lin YM, Yan W (2013) Incomplete cre‐mediated excision leads to phenotypic differences between Stra8‐iCre; Mov10l1(lox/lox) and Stra8‐iCre; Mov10l1(lox/Delta) mice. Genesis 51: 481–490 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Barral S, Morozumi Y, Tanaka H, Montellier E, Govin J, de Dieuleveult M, Charbonnier G, Coute Y, Puthier D, Buchou T et al (2017) Histone variant H2A.L.2 guides transition protein‐dependent protamine assembly in male germ cells. Mol Cell 66: 89–101.e8 [DOI] [PubMed] [Google Scholar]
  8. Barraud‐Lange V, Ialy‐Radio C, Chalas C, Holtzmann I, Wolf JP, Barbaux S, Ziyyat A (2020) Partial sperm beta1 integrin subunit deletion proves its involvement in mouse gamete adhesion/fusion. Int J Mol Sci 21: 8494 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B Methodol 57: 289–300 [Google Scholar]
  10. Boussouar F, Goudarzi A, Buchou T, Shiota H, Barral S, Debernardi A, Guardiola P, Brindle P, Martinez G, Arnoult C et al (2014) A specific CBP/p300‐dependent gene expression programme drives the metabolic remodelling in late stages of spermatogenesis. Andrology 2: 351–359 [DOI] [PubMed] [Google Scholar]
  11. Bouyssie D, Hesse AM, Mouton‐Barbosa E, Rompais M, Macron C, Carapito C, Gonzalez de Peredo A, Coute Y, Dupierris V, Burel A et al (2020) Proline: an efficient and user‐friendly software suite for large‐scale proteomics. Bioinformatics 36: 3148–3155 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Braun RE (2001) Packaging paternal chromosomes with protamine. Nat Genet 28: 10–12 [DOI] [PubMed] [Google Scholar]
  13. Cattaneo P, Hayes MGB, Baumgarten N, Hecker D, Peruzzo S, Aslan GS, Kunderfranco P, Larcher V, Zhang L, Contu R et al (2022) DOT1L regulates chamber‐specific transcriptional networks during cardiogenesis and mediates postnatal cell cycle withdrawal. Nat Commun 13: 7444 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Chang CC, Ye BH, Chaganti RS, Dalla‐Favera R (1996) BCL‐6, a POZ/zinc‐finger protein, is a sequence‐specific transcriptional repressor. Proc Natl Acad Sci USA 93: 6947–6952 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Chen Y, Zheng Y, Gao Y, Lin Z, Yang S, Wang T, Wang Q, Xie N, Hua R, Liu M et al (2018) Single‐cell RNA‐seq uncovers dynamic processes and critical regulators in mouse spermatogenesis. Cell Res 28: 879–896 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Cocquet J, Ellis PJ, Yamauchi Y, Mahadevaiah SK, Affara NA, Ward MA, Burgoyne PS (2009) The multicopy gene sly represses the sex chromosomes in the male mouse germline after meiosis. PLoS Biol 7: e1000244 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Comptour A, Moretti C, Serrentino ME, Auer J, Ialy‐Radio C, Ward MA, Toure A, Vaiman D, Cocquet J (2014) SSTY proteins co‐localize with the post‐meiotic sex chromatin and interact with regulators of its expression. FEBS J 281: 1571–1584 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Corbineau S, Lassalle B, Givelet M, Souissi‐Sarahoui I, Firlej V, Romeo PH, Allemand I, Riou L, Fouchet P (2017) Spermatogonial stem cells and progenitors are refractory to reprogramming to pluripotency by the transcription factors Oct3/4, c‐Myc, Sox2 and Klf4. Oncotarget 8: 10050–10063 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Crespo M, Damont A, Blanco M, Lastrucci E, Kennani SE, Ialy‐Radio C, Khattabi LE, Terrier S, Louwagie M, Kieffer‐Jaquinod S et al (2020) Multi‐omic analysis of gametogenesis reveals a novel signature at the promoters and distal enhancers of active genes. Nucleic Acids Res 48: 4115–4138 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. da Cruz I, Rodriguez‐Casuriaga R, Santinaque FF, Farias J, Curti G, Capoano CA, Folle GA, Benavente R, Sotelo‐Silveira JR, Geisinger A (2016) Transcriptome analysis of highly purified mouse spermatogenic cell populations: gene expression signatures switch from meiotic‐to postmeiotic‐related processes at pachytene stage. BMC Genomics 17: 294 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Darde TA, Sallou O, Becker E, Evrard B, Monjeaud C, Le Bras Y, Jegou B, Collin O, Rolland AD, Chalmel F (2015) The ReproGenomics viewer: an integrative cross‐species toolbox for the reproductive science community. Nucleic Acids Res 43: W109–W116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Darde TA, Lecluze E, Lardenois A, Stevant I, Alary N, Tuttelmann F, Collin O, Nef S, Jegou B, Rolland AD et al (2019) The ReproGenomics viewer: a multi‐omics and cross‐species resource compatible with single‐cell studies for the reproductive science community. Bioinformatics 35: 3133–3139 [DOI] [PubMed] [Google Scholar]
  23. Dobin A, Gingeras TR (2015) Mapping RNA‐seq reads with STAR. Curr Protoc Bioinformatics 51: 11.14.1–11.14.19 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Dong Y, Isono KI, Ohbo K, Endo TA, Ohara O, Maekawa M, Toyama Y, Ito C, Toshimori K, Helin K et al (2017) EPC1/TIP60‐mediated histone acetylation facilitates spermiogenesis in mice. Mol Cell Biol 37: e00082‐17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Dottermusch‐Heidel C, Gartner SM, Tegeder I, Rathke C, Barckmann B, Bartkuhn M, Bhushan S, Steger K, Meinhardt A, Renkawitz‐Pohl R (2014a) H3K79 methylation: a new conserved mark that accompanies H4 hyperacetylation prior to histone‐to‐protamine transition in drosophila and rat. Biol Open 3: 444–452 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Dottermusch‐Heidel C, Klaus ES, Gonzalez NH, Bhushan S, Meinhardt A, Bergmann M, Renkawitz‐Pohl R, Rathke C, Steger K (2014b) H3K79 methylation directly precedes the histone‐to‐protamine transition in mammalian spermatids and is sensitive to bacterial infections. Andrology 2: 655–665 [DOI] [PubMed] [Google Scholar]
  27. Durinck S, Moreau Y, Kasprzyk A, Davis S, De Moor B, Brazma A, Huber W (2005) BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis. Bioinformatics 21: 3439–3440 [DOI] [PubMed] [Google Scholar]
  28. El Kennani S, Adrait A, Shaytan AK, Khochbin S, Bruley C, Panchenko AR, Landsman D, Pflieger D, Govin J (2017) MS_HistoneDB, a manually curated resource for proteomic analysis of human and mouse histones. Epigenetics Chromatin 10: 2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Ernst C, Eling N, Martinez‐Jimenez CP, Marioni JC, Odom DT (2019) Staged developmental mapping and X chromosome transcriptional dynamics during mouse spermatogenesis. Nat Commun 10: 1251 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Evertts AG, Manning AL, Wang X, Dyson NJ, Garcia BA, Coller HA (2013) H4K20 methylation regulates quiescence and chromatin compaction. Mol Biol Cell 24: 3025–3037 [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Frehlick LJ, Eirin‐Lopez JM, Ausio J (2007) New insights into the nucleophosmin/nucleoplasmin family of nuclear chaperones. Bioessays 29: 49–59 [DOI] [PubMed] [Google Scholar]
  32. Fujihara Y, Murakami M, Inoue N, Satouh Y, Kaseda K, Ikawa M, Okabe M (2010) Sperm equatorial segment protein 1, SPESP1, is required for fully fertile sperm in mouse. J Cell Sci 123: 1531–1536 [DOI] [PubMed] [Google Scholar]
  33. Gadadhar S, Alvarez Viar G, Hansen JN, Gong A, Kostarev A, Ialy‐Radio C, Leboucher S, Whitfield M, Ziyyat A, Toure A et al (2021) Tubulin glycylation controls axonemal dynein activity, flagellar beat, and male fertility. Science 371: eabd4914 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Gaucher J, Boussouar F, Montellier E, Curtet S, Buchou T, Bertrand S, Hery P, Jounier S, Depaux A, Vitte AL et al (2012) Bromodomain‐dependent stage‐specific male genome programming by Brdt. EMBO J 31: 3809–3820 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Gilan O, Lam EY, Becher I, Lugo D, Cannizzaro E, Joberty G, Ward A, Wiese M, Fong CY, Ftouni S et al (2016) Functional interdependence of BRD4 and DOT1L in MLL leukemia. Nat Struct Mol Biol 23: 673–681 [DOI] [PubMed] [Google Scholar]
  36. Goudarzi A, Zhang D, Huang H, Barral S, Kwon OK, Qi S, Tang Z, Buchou T, Vitte AL, He T et al (2016) Dynamic competing histone H4 K5K8 acetylation and Butyrylation are hallmarks of highly active gene promoters. Mol Cell 62: 169–180 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Green CD, Ma Q, Manske GL, Shami AN, Zheng X, Marini S, Moritz L, Sultan C, Gurczynski SJ, Moore BB et al (2018) A comprehensive roadmap of murine spermatogenesis defined by single‐cell RNA‐seq. Dev Cell 46: 651–667.e10 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Heinz S, Benner C, Spann N, Bertolino E, Lin YC, Laslo P, Cheng JX, Murre C, Singh H, Glass CK (2010) Simple combinations of lineage‐determining transcription factors prime cis‐regulatory elements required for macrophage and B cell identities. Mol Cell 38: 576–589 [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Ho CH, Takizawa Y, Kobayashi W, Arimura Y, Kimura H, Kurumizaka H (2021) Structural basis of nucleosomal histone H4 lysine 20 methylation by SET8 methyltransferase. Life Sci Alliance 4: e202000919 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Jo SY, Granowicz EM, Maillard I, Thomas D, Hess JL (2011) Requirement for Dot1l in murine postnatal hematopoiesis and leukemogenesis by MLL translocation. Blood 117: 4759–4768 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Jones B, Su H, Bhat A, Lei H, Bajko J, Hevi S, Baltus GA, Kadam S, Zhai H, Valdez R et al (2008) The histone H3K79 methyltransferase Dot1L is essential for mammalian development and heterochromatin structure. PLoS Genet 4: e1000190 [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Kawano N, Kang W, Yamashita M, Koga Y, Yamazaki T, Hata T, Miyado K, Baba T (2010) Mice lacking two sperm serine proteases, ACR and PRSS21, are subfertile, but the mutant sperm are infertile in vitro. Biol Reprod 83: 359–369 [DOI] [PubMed] [Google Scholar]
  43. Kim W, Choi M, Kim JE (2014) The histone methyltransferase Dot1/DOT1L as a critical regulator of the cell cycle. Cell Cycle 13: 726–738 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Koster J, Rahmann S (2018) Snakemake‐a scalable bioinformatics workflow engine. Bioinformatics 34: 3600 [DOI] [PubMed] [Google Scholar]
  45. Kuang W, Zhang J, Lan Z, Deepak R, Liu C, Ma Z, Cheng L, Zhao X, Meng X, Wang W et al (2021) SLC22A14 is a mitochondrial riboflavin transporter required for sperm oxidative phosphorylation and male fertility. Cell Rep 35: 109025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Kurosu T, Fukuda T, Miki T, Miura O (2003) BCL6 overexpression prevents increase in reactive oxygen species and inhibits apoptosis induced by chemotherapeutic reagents in B‐cell lymphoma cells. Oncogene 22: 4459–4468 [DOI] [PubMed] [Google Scholar]
  47. Kwesi‐Maliepaard EM, Aslam MA, Alemdehy MF, van den Brand T, McLean C, Vlaming H, van Welsem T, Korthout T, Lancini C, Hendriks S et al (2020) The histone methyltransferase DOT1L prevents antigen‐independent differentiation and safeguards epigenetic identity of CD8(+) T cells. Proc Natl Acad Sci USA 117: 20706–20716 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Langmead B, Salzberg SL (2012) Fast gapped‐read alignment with bowtie 2. Nat Methods 9: 357–359 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Lin YH, Kakadia PM, Chen Y, Li YQ, Deshpande AJ, Buske C, Zhang KL, Zhang Y, Xu GL, Bohlander SK (2009) Global reduction of the epigenetic H3K79 methylation mark and increased chromosomal instability in CALM‐AF10‐positive leukemias. Blood 114: 651–658 [DOI] [PubMed] [Google Scholar]
  50. Lin H, Cheng K, Kubota H, Lan Y, Riedel SS, Kakiuchi K, Sasaki K, Bernt KM, Bartolomei MS, Luo M et al (2022) Histone methyltransferase DOT1L is essential for self‐renewal of germline stem cells. Genes Dev 36: 752–763 [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Love MI, Huber W, Anders S (2014) Moderated estimation of fold change and dispersion for RNA‐seq data with DESeq2. Genome Biol 15: 550 [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Luense LJ, Wang X, Schon SB, Weller AH, Lin Shiao E, Bryant JM, Bartolomei MS, Coutifaris C, Garcia BA, Berger SL (2016) Comprehensive analysis of histone post‐translational modifications in mouse and human male germ cells. Epigenetics Chromatin 9: 24 [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Luense LJ, Donahue G, Lin‐Shiao E, Rangel R, Weller AH, Bartolomei MS, Berger SL (2019) Gcn5‐mediated histone acetylation governs nucleosome dynamics in spermiogenesis. Dev Cell 51: 745–758.e6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Maruyama SY, Ito M, Ikami Y, Okitsu Y, Ito C, Toshimori K, Fujii W, Yogo K (2016) A critical role of solute carrier 22a14 in sperm motility and male fertility in mice. Sci Rep 6: 36468 [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. de Mateo S, Gazquez C, Guimera M, Balasch J, Meistrich ML, Ballesca JL, Oliva R (2009) Protamine 2 precursors (pre‐P2), protamine 1 to protamine 2 ratio (P1/P2), and assisted reproduction outcome. Fertil Steril 91: 715–722 [DOI] [PubMed] [Google Scholar]
  56. McCarthy DJ, Smyth GK (2009) Testing significance relative to a fold‐change threshold is a TREAT. Bioinformatics 25: 765–771 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Montellier E, Rousseaux S, Zhao Y, Khochbin S (2011) Histone crotonylation specifically marks the haploid male germ cell gene expression program: post‐meiotic male‐specific gene expression. Bioessays 34: 187–193 [DOI] [PubMed] [Google Scholar]
  58. Montellier E, Boussouar F, Rousseaux S, Zhang K, Buchou T, Fenaille F, Shiota H, Debernardi A, Hery P, Curtet S et al (2013) Chromatin‐to‐nucleoprotamine transition is controlled by the histone H2B variant TH2B. Genes Dev 27: 1680–1692 [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Moretti C, Serrentino ME, Ialy‐Radio C, Delessard M, Soboleva TA, Tores F, Leduc M, Nitschke P, Drevet JR, Tremethick DJ et al (2017) SLY regulates genes involved in chromatin remodeling and interacts with TBL1XR1 during sperm differentiation. Cell Death Differ 24: 1029–1044 [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Muzumdar MD, Tasic B, Miyamichi K, Li L, Luo L (2007) A global double‐fluorescent Cre reporter mouse. Genesis 45: 593–605 [DOI] [PubMed] [Google Scholar]
  61. Nguyen AT, Taranova O, He J, Zhang Y (2011) DOT1L, the H3K79 methyltransferase, is required for MLL‐AF9‐mediated leukemogenesis. Blood 117: 6912–6922 [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Okada Y, Feng Q, Lin Y, Jiang Q, Li Y, Coffield VM, Su L, Xu G, Zhang Y (2005) hDOT1L links histone methylation to leukemogenesis. Cell 121: 167–178 [DOI] [PubMed] [Google Scholar]
  63. Oliva R (2006) Protamines and male infertility. Hum Reprod Update 12: 417–435 [DOI] [PubMed] [Google Scholar]
  64. Oliva R, Bazett‐Jones D, Mezquita C, Dixon GH (1987) Factors affecting nucleosome disassembly by protamines in vitro. Histone hyperacetylation and chromatin structure, time dependence, and the size of the sperm nuclear proteins. J Biol Chem 262: 17016–17025 [PubMed] [Google Scholar]
  65. Onder TT, Kara N, Cherry A, Sinha AU, Zhu N, Bernt KM, Cahan P, Marcarci BO, Unternaehrer J, Gupta PB et al (2012) Chromatin‐modifying enzymes as modulators of reprogramming. Nature 483: 598–602 [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Perez‐Riverol Y, Csordas A, Bai J, Bernal‐Llinares M, Hewapathirana S, Kundu DJ, Inuganti A, Griss J, Mayer G, Eisenacher M et al (2019) The PRIDE database and related tools and resources in 2019: improving support for quantification data. Nucleic Acids Res 47: D442–D450 [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Ragazzini R, Perez‐Palacios R, Baymaz IH, Diop S, Ancelin K, Zielinski D, Michaud A, Givelet M, Borsos M, Aflaki S et al (2019) EZHIP constrains Polycomb repressive complex 2 activity in germ cells. Nat Commun 10: 3858 [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Rathke C, Baarends WM, Awe S, Renkawitz‐Pohl R (2014) Chromatin dynamics during spermiogenesis. Biochim Biophys Acta 1839: 155–168 [DOI] [PubMed] [Google Scholar]
  69. Robinson MD, McCarthy DJ, Smyth GK (2010) edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26: 139–140 [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Sadate‐Ngatchou PI, Payne CJ, Dearth AT, Braun RE (2008) Cre recombinase activity specific to postnatal, premeiotic male germ cells in transgenic mice. Genesis 46: 738–742 [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Shang E, Nickerson HD, Wen D, Wang X, Wolgemuth DJ (2007) The first bromodomain of Brdt, a testis‐specific member of the BET sub‐family of double‐bromodomain‐containing proteins, is essential for male germ cell differentiation. Development 134: 3507–3515 [DOI] [PubMed] [Google Scholar]
  72. Shiota H, Barral S, Buchou T, Tan M, Coute Y, Charbonnier G, Reynoird N, Boussouar F, Gerard M, Zhu M et al (2018) Nut directs p300‐dependent, genome‐wide H4 hyperacetylation in male germ cells. Cell Rep 24: 3477–3487.e6 [DOI] [PubMed] [Google Scholar]
  73. Shoaib M, Chen Q, Shi X, Nair N, Prasanna C, Yang R, Walter D, Frederiksen KS, Einarsson H, Svensson JP et al (2021) Histone H4 lysine 20 mono‐methylation directly facilitates chromatin openness and promotes transcription of housekeeping genes. Nat Commun 12: 4800 [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Soler‐Ventura A, Castillo J, de la Iglesia A, Jodar M, Barrachina F, Ballesca JL, Oliva R (2018) Mammalian sperm protamine extraction and analysis: a step‐by‐step detailed protocol and brief review of protamine alterations. Protein Pept Lett 25: 424–433 [DOI] [PubMed] [Google Scholar]
  75. Soumillon M, Necsulea A, Weier M, Brawand D, Zhang X, Gu H, Barthes P, Kokkinaki M, Nef S, Gnirke A et al (2013) Cellular source and mechanisms of high transcriptome complexity in the mammalian testis. Cell Rep 3: 2179–2190 [DOI] [PubMed] [Google Scholar]
  76. Steger DJ, Lefterova MI, Ying L, Stonestrom AJ, Schupp M, Zhuo D, Vakoc AL, Kim JE, Chen J, Lazar MA et al (2008) DOT1L/KMT4 recruitment and H3K79 methylation are ubiquitously coupled with gene transcription in mammalian cells. Mol Cell Biol 28: 2825–2839 [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub TR, Lander ES et al (2005) Gene set enrichment analysis: a knowledge‐based approach for interpreting genome‐wide expression profiles. Proc Natl Acad Sci USA 102: 15545–15550 [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Thomis DC, Lee W, Berg LJ (1997) T cells from Jak3‐deficient mice have intact TCR signaling, but increased apoptosis. J Immunol 159: 4708–4719 [PubMed] [Google Scholar]
  79. Torregrosa N, Dominguez‐Fandos D, Camejo MI, Shirley CR, Meistrich ML, Ballesca JL, Oliva R (2006) Protamine 2 precursors, protamine 1/protamine 2 ratio, DNA integrity and other sperm parameters in infertile patients. Hum Reprod 21: 2084–2089 [DOI] [PubMed] [Google Scholar]
  80. Toure A (2019) Importance of SLC26 transmembrane anion exchangers in sperm post‐testicular maturation and fertilization potential. Front Cell Dev Biol 7: 230 [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Valencia‐Sanchez MI, De Ioannes P, Wang M, Truong DM, Lee R, Armache JP, Boeke JD, Armache KJ (2021) Regulation of the Dot1 histone H3K79 methyltransferase by histone H4K16 acetylation. Science 371: eabc6663 [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Vlaming H, van Leeuwen F (2016) The upstreams and downstreams of H3K79 methylation by DOT1L. Chromosoma 125: 593–605 [DOI] [PubMed] [Google Scholar]
  83. Wang Z, Zang C, Rosenfeld JA, Schones DE, Barski A, Cuddapah S, Cui K, Roh TY, Peng W, Zhang MQ et al (2008) Combinatorial patterns of histone acetylations and methylations in the human genome. Nat Genet 40: 897–903 [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Wang Y, Iwamori T, Kaneko T, Iida H, Iwamori N (2021) Comparative distributions of RSBN1 and methylated histone H4 lysine 20 in the mouse spermatogenesis. PLoS one 16: e0253897 [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Ward WS, Coffey DS (1991) DNA packaging and organization in mammalian spermatozoa: comparison with somatic cells. Biol Reprod 44: 569–574 [DOI] [PubMed] [Google Scholar]
  86. Yamaguchi K, Hada M, Fukuda Y, Inoue E, Makino Y, Katou Y, Shirahige K, Okada Y (2018) Re‐evaluating the localization of sperm‐retained histones revealed the modification‐dependent accumulation in specific genome regions. Cell Rep 23: 3920–3932 [DOI] [PubMed] [Google Scholar]
  87. Yamauchi Y, Riel JM, Stoytcheva Z, Burgoyne PS, Ward MA (2010) Deficiency in mouse Y chromosome long arm gene complement is associated with sperm DNA damage. Genome Biol 11: R66 [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Yu YE, Zhang Y, Unni E, Shirley CR, Deng JM, Russell LD, Weil MM, Behringer RR, Meistrich ML (2000) Abnormal spermatogenesis and reduced fertility in transition nuclear protein 1‐deficient mice. Proc Natl Acad Sci USA 97: 4683–4688 [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Yu G, Wang LG, He QY (2015) ChIPseeker: an R/Bioconductor package for ChIP peak annotation, comparison and visualization. Bioinformatics 31: 2382–2383 [DOI] [PubMed] [Google Scholar]
  90. Zhang W, Hayashizaki Y, Kone BC (2004) Structure and regulation of the mDot1 gene, a mouse histone H3 methyltransferase. Biochem J 377: 641–651 [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Zhang Y, Liu T, Meyer CA, Eeckhoute J, Johnson DS, Bernstein BE, Nusbaum C, Myers RM, Brown M, Li W et al (2008) Model‐based analysis of ChIP‐seq (MACS). Genome Biol 9: R137 [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Zhao M, Shirley CR, Hayashi S, Marcon L, Mohapatra B, Suganuma R, Behringer RR, Boissonneault G, Yanagimachi R, Meistrich ML (2004a) Transition nuclear proteins are required for normal chromatin condensation and functional sperm development. Genesis 38: 200–213 [DOI] [PubMed] [Google Scholar]
  93. Zhao M, Shirley CR, Mounsey S, Meistrich ML (2004b) Nucleoprotein transitions during spermiogenesis in mice with transition nuclear protein Tnp1 and Tnp2 mutations. Biol Reprod 71: 1016–1025 [DOI] [PubMed] [Google Scholar]
  94. Zhu B, Chen S, Wang H, Yin C, Han C, Peng C, Liu Z, Wan L, Zhang X, Zhang J et al (2018) The protective role of DOT1L in UV‐induced melanomagenesis. Nat Commun 9: 259 [DOI] [PMC free article] [PubMed] [Google Scholar]

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    Appendix

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    Data Availability Statement

    RNA‐Seq data have been submitted to ENA repository under project number PRJEB50887 (https://www.ebi.ac.uk/ena/). H3K79me2 ChIP‐Seq project number is PRJNA643726. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE (Perez‐Riverol et al2019) partner repository with the dataset identifier PXD030734 (https://www.ebi.ac.uk/pride/).


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