ABSTRACT
One of the key events during spermiogenesis is the hypercondensation of chromatin by substitution of the majority of histones by protamines. In humans and mice, protamine 1 (PRM1/Prm1) and protamine 2 (PRM2/Prm2) are expressed in a species-specific ratio. Using CRISPR-Cas9-mediated gene editing, we generated Prm1-deficient mice and demonstrated that Prm1+/− mice were subfertile, whereas Prm1−/− mice were infertile. Prm1−/− and Prm2−/− sperm showed high levels of reactive oxygen species-mediated DNA damage and increased histone retention. In contrast, Prm1+/− sperm displayed only moderate DNA damage. The majority of Prm1+/− sperm were CMA3 positive, indicating protamine-deficient chromatin, although this was not the result of increased histone retention in Prm1+/− sperm. However, sperm from Prm1+/− and Prm1−/− mice contained high levels of incompletely processed PRM2. Furthermore, the PRM1:PRM2 ratio was skewed from 1:2 in wild type to 1:5 in Prm1+/− animals. Our results reveal that PRM1 is required for proper PRM2 processing to produce mature PRM2, which, together with PRM1, is able to hypercondense DNA. Thus, the species-specific PRM1:PRM2 ratio has to be precisely controlled in order to retain full fertility.
KEY WORDS: Protamine ratio, Protamine 1 (Prm1), PRM2 processing, Infertility, Subfertility, Chromatin condensation, Mouse
Summary: Analysis of protamine 1-deficient mice revealed that heterozygous (Prm1+/−) males are subfertile, whereas homozygous males are infertile, with Prm1 deficiency leading to defective chromatin compaction and sperm damage.
INTRODUCTION
During spermatogenesis in the seminiferous epithelium of the testis, diploid spermatogonia differentiate into haploid spermatids. One of the most remarkable changes during spermiogenesis is complete reorganization of chromatin compaction (Rathke et al., 2014), whereby histones are almost completely substituted by protamines. These are highly basic, arginine-rich proteins (Balhorn, 1982) that, upon binding to DNA, hypercondense chromatin, leading to transcriptional silencing and protection of the paternal genome (Steger, 1999). Whereas, in most mammals, DNA compaction in sperm is accomplished by incorporation of protamine 1 (PRM1) alone, primates and most rodents express two protamines, PRM1 and protamine 2 (PRM2) (Chauviere et al., 1992; Retief and Dixon, 1993). In mice and humans, Prm1 and Prm2 are encoded in a tightly regulated gene cluster on chromosome 16 (Reeves et al., 1989; Wykes and Krawetz, 2003). Whereas PRM1 is expressed as mature protein, PRM2 is expressed as precursor protein (pre-PRM2), consisting of a C-terminal mature PRM2 (mPRM2) domain and an N-terminal cleaved PRM2 (cPRM2) domain, which is sequentially cleaved off upon binding to DNA (Balhorn, 2007; Retief and Dixon, 1993; Yelick et al., 1987). mPrm2 is proposed to originate from a gene duplication of Prm1 (Krawetz and Dixon, 1988). In an evolutionary context, Prm1 and cPrm2 were shown to be conserved, suggesting important roles in fertility (Lüke et al., 2016b; Lüke et al., 2016a). PRM1/PRM1 and PRM2/PRM2 are detected in a species-specific ratio [1:1 in humans (de Mateo et al., 2009) and 1:2 in mice (Corzett et al., 2002)]. In humans, alterations of this protamine ratio (PRM1:PRM2) have been associated with male sub- and infertility (Aoki et al., 2005; Balhorn et al., 1988; Belokopytova et al., 1993; Bench et al., 1998; de Yebra et al., 1998; García-Peiró et al., 2011; Khara et al., 1997; Ni et al., 2016; Oliva, 2006; Steger et al., 2001; Steger et al., 2003; Steger et al., 2008; Torregrosa et al., 2006).
Mice chimeric for a deletion of one allele of either Prm1 or Prm2 (Cho et al., 2001; Cho et al., 2003; Takeda et al., 2016) are infertile and do not allow for the establishment of mouse lines or detailed analysis of Prm deficiency. Furthermore, heterozygous Prm1-deficient mice generated with CRISPR-Cas9 are reported to be infertile (Mashiko et al., 2013). Thus, a detailed phenotypical analysis of Prm1-deficient mice has not been possible so far.
Schneider et al. reported the establishment of Prm2-deficient mouse lines using CRISPR-Cas9-mediated gene editing in zygotes (Schneider et al., 2016). They showed that Prm2+/− male mice remained fertile, whereas Prm2−/− were infertile. In addition, Prm2+/− sperm showed no pathomorphological effects, whereas Prm2−/− sperm presented with fragmented DNA, disrupted sperm membranes and complete immotility. These defects were shown to accumulate during epididymal transit. It was also demonstrated that the Prm2−/− mice displayed deregulation of proteins, leading to accumulation of reactive oxygen species (ROS), thus explaining the phenotype observed previously (Schneider et al., 2020).
Using CRISPR-Cas9-mediated gene editing in zygotes, we generated mice deficient for Prm1. Male mice heterozygous for the mutation (Prm1+/−) were subfertile, whereas Prm1-deficient (Prm1−/−) males were infertile. Molecular analyses revealed that loss of one allele of Prm1 led to a moderate fragmentation of DNA, whereas complete DNA fragmentation was observed in Prm1−/− mice. Sperm of Prm1+/− mice displayed reduced motility as well as enhanced 8-hydroxydeoxyguanosine (8-OHdG) levels, indicative of upregulated ROS levels. Most importantly, analyses of sperm nuclear proteins revealed that the processing of PRM2 to its mPRM2 form already appeared to be disturbed in Prm1+/− animals. Furthermore, the species-specific protamine ratio was shifted in Prm1+/− mice. These data strongly suggest that the species-specific level of PRM1 is required for proper sperm function.
RESULTS
CRISPR-Cas9-mediated gene editing produces Prm1-deficient mice
Prm1-deficient mice were generated using CRISPR-Cas9-mediated gene editing. Guide RNAs targeting exon 1 and exon 2 of Prm1 and Cas9 mRNA were injected into zygotes. From the 13 pups obtained, four contained a deletion in the Prm1-coding region. Those four animals were mated to C57BL/6J mice and the Prm1 locus was sequenced from the offspring. We selected a mouse carrying a 167 bp in-frame deletion in the Prm1-coding region (Fig. 1A) and established PCR-based genotyping (Fig. 1B).
In order to validate the deletion, 3′-mRNA-sequencing of whole testis of wild-type (WT; Prm1+/+) and Prm1−/− males was performed. In Prm1−/− males, the transcripts mapped to the 5′ and the 3′ ends of the Prm1 locus, whereas we could not detect transcripts from the central deleted area, which encodes crucial arginine sites required for DNA binding (Fig. 1A; Fig. S1). In addition, read mapping to the surrounding Prm2 and Tp2 (Tnp2) loci was visualized to exclude local off-target effects, which would not be segregated via backcrossing (Fig. S2).
Next, we used immunohistochemical (IHC) staining with an anti-PRM1 antibody, targeting an epitope at the N terminus of PRM1 (marked in red in Fig. 1A) in order to determine whether the potential transcripts of the gene-edited allele resulted in the production of a truncated PRM1 protein. However, we could not detect a signal in testis sections of Prm1−/− males (Fig. 1C). This strongly suggests nonsense-mediated RNA decay of the potential transcript and demonstrated that the deletion introduced by CRISPR-Cas9 resulted in a functional Prm1-null allele. PRM1 was detected in elongating spermatids and spermatozoa in WT and Prm1+/− testis sections. PRM2 was present in all genotypes. Mating of Prm1+/− males with Prm1+/− females produced ∼50% Prm1+/−, ∼25% Prm1+/+ and ∼25% Prm1−/− offspring (Fig. 1D), suggesting that the deletion did not interfere with embryonic development.
Prm1−/− male mice are infertile, while Prm1+/− are subfertile
After establishing and validating the Prm1-deficient line, we performed fertility tests with Prm1+/− and Prm1−/− males. Prm1+/− males were subfertile, whereas Prm1−/− males were infertile (Fig. 1E; Table S1). None of the nine Prm1−/− males tested was able to generate offspring. Prm1+/− males generated smaller mean litter sizes (mean±s.d.: 2.88±2.20) compared with WT males (mean: 7.01±0.94) (Fig. 1E). Additionally, the pregnancy frequency of Prm1+/− males was significantly reduced (Fig. 1F). Only ∼43% of the monitored copulations with Prm1+/− males resulted in pregnancies. These results indicate that the loss of one allele of Prm1 reduces male mouse fecundity.
Spermatogenesis is overtly normal in Prm1-deficient mice
In order to test whether the deletion of Prm1 affects spermatogenesis, we analyzed standard male fertility parameters. The mean testis weight (Fig. 2A), the mean seminiferous tubule diameter (Fig. 2B) and the number of elongating spermatids per seminiferous tubule cross-section (Fig. 2C) were not reduced in Prm1+/− or Prm1−/− animals compared with Prm1+/+ animals. Spermatozoa lining up at the lumen of stage VII to VIII seminiferous tubules were detected in Prm1-deficient mice (Fig. 2D). Spermatids underwent differentiation and elongation, and acrosomal structures and flagella were formed, in Prm1-deficient mice (Fig. 2E). Apparently, sperm development is overtly normal in Prm1+/− and Prm1−/− males.
Epididymal Prm1-deficient sperm display ROS-mediated DNA damage
Given that PRM1 is necessary for DNA hypercondensation, we evaluated the chromatin compaction of epididymal sperm. Transmission electron micrographs of epididymal sperm revealed defects in chromatin hypercondensation in Prm1−/− sperm compared with Prm1+/− and Prm1+/+ sperm (Fig. 3A). Whereas ∼80-85% of Prm1+/− and Prm1+/+ epididymal sperm nuclei appeared to be electron dense, indicative of condensed chromatin, only ∼29% of Prm1−/− sperm nuclei appeared to be fully condensed (Fig. 3B). In addition, epididymal sperm from Prm1−/− mice presented with membrane damage and disrupted acrosomes (Fig. 3C).
To assess DNA damage, genomic DNA isolated from epididymal sperm was separated by agarose gel electrophoresis. DNA from WT sperm presented as a single band of high molecular weight, indicative of intact DNA. By contrast, the majority of DNA isolated from Prm1−/− epididymal sperm was detected as fragments of ∼100-500 bp, indicative of strong DNA degradation. Whereas DNA of sperm from Prm2−/− male mice was completely fragmented, a small proportion of DNA in Prm1−/− sperm presented as a high-molecular-weight band, indicating that a small portion of DNA from these sperm remained intact. DNA from Prm1+/− sperm displayed a weak smear, indicative of a low, but detectable, level of DNA degradation (Fig. 3D). This suggests that the loss of one Prm1 allele leads to low levels of DNA damage. This is in contrast to Prm2, where the loss of one allele was tolerated and DNA did not show any sign of degradation.
Given that similar DNA damage has been described for Prm2−/− sperm and has been correlated to increased ROS levels during epididymal transit (Schneider et al., 2016, 2020), we stained testicular and epididymal tissue sections for 8-OHdG, a marker of oxidative stress-induced DNA lesions. In tissue sections from epididymides of Prm1−/− mice, 60% of caput sperm and 64% of cauda sperm stained 8-OHdG-positive (Fig. 3E,F; Fig. S3). In epididymides of Prm1+/− mice, a small number of sperm stained positive for 8-OHdG (mean: 2.6% in caput and 3.0% in cauda epididymis). In contrast, on sections of Prm1+/+ mice, no staining was detected. This shows that the low level of DNA damage detected in Prm1+/− males is likely to be restricted to the few 8-OHdG-positive sperm and is not the result of a low level of DNA damage in all sperm. Of note, the majority of sperm from Prm1−/− mice stained positive for 8-OHdG in the testis (Fig. 3F).
Epididymal Prm1-deficient sperm display impaired membrane integrity, nuclear head morphology changes and sperm motility defects
To characterize possible secondary effects of ROS, we next used Eosin-Nigrosin (EN) staining and a hypoosmotic swelling (HOS) test to examine sperm membrane integrity. Prm1−/− epididymal sperm displayed severe membrane damage, indicative of inviable sperm, whereas no significant difference was detected between Prm1+/− and Prm1+/+ sperm (Fig. 4A,B; Fig. S4).
To assess epididymal sperm head morphology, we used a high-throughput ImageJ plugin (Skinner et al., 2019) and generated a consensus shape visualizing the overall head shape of the population analyzed. Prm1−/− sperm had lost the typical hook-shaped sperm head (Fig. 4C; Fig. S5A). Although the head shape of Prm1−/− sperm displayed higher variability (Fig. S5B), they appeared to be smaller, with a mean area of 14.92 µm2 (95% CI 14.92±0.26) compared with 19.82 µm2 (95% CI 19.82±0.10) and 19.47 µm2 (95% CI 19.47±0.13) for Prm1+/+ and Prm1+/− sperm heads, respectively (Fig. S5C). Furthermore, Prm1−/− sperm heads were more elliptic (Fig. S5D) and thinner (Fig. S5E). Prm1+/− sperm heads showed a slightly stronger hook curvature, resulting in a reduced maximum Feret of 8.07 µm (95% CI 8.07±0.04) compared with 8.38 µm (95% CI 8.38±0.04) for Prm1+/+ sperm (Fig. S5F). Although the reduction in maximum Feret was significant, this result should be interpreted carefully, given the general variability but clear overlap in sperm head shapes depicted for Prm1+/− and Prm1+/+ sperm populations (Fig. S5B). These results suggest that loss of one allele of Prm1 does not affect sperm head shape dramatically. Periodic acid-Schiff stainings of seminiferous tubules showed that Prm1−/− sperm form a hook during spermiogenesis (Fig. S6A). The consensus sperm head shapes generated using step 14-16 spermatozoa isolated from testis did not differ overtly among the different genotypes (Fig. S6B), indicating that Prm1−/− sperm lose their typical hooked head shape during epididymal transit.
Next, we analyzed the percentage of motile sperm isolated from the cauda epididymis (Fig. 5D). Strikingly, Prm1+/− sperm showed a marked reduction in sperm motility. Only around 23% of Prm1+/− sperm were motile. In contrast, 68% of WT sperm were motile, while Prm1-deficient sperm were completely immotile. We would like to point out that sperm from the cauda epididymis were isolated using the swim-out assay, which could potentially bias the overall motility assessment toward motile sperm. The percentage of motile sperm in the Prm1+/+ samples was, however, in the range of published data (Goodson et al., 2011), Prm1+/− sperm exhibited significantly lower motility. Thus, the reduction in motility is likely to contribute to the sub/infertility seen in these sperm. Transmission electron micrographs of flagella cross-sections of epididymal sperm showed that a large part of the Prm1+/− and Prm1−/− sperm did not have the characteristic ‘9+2’ microtubule structure (Fig. S7A-C). While 98% of Prm1+/+ sperm flagella showed a ‘9+2’ microtubule structure, this was seen in only 69% of Prm1+/− and 54% of Prm1−/− sperm flagella (Fig. S7D). Furthermore, severe flagellar membrane damage was seen in Prm1−/− sperm tails. In transmission electron micrographs of Prm1−/− seminiferous tubules, flagella formation and sperm head shaping appeared to be normal, suggesting that sperm tail damage accumulates during epididymal transit (Fig. S8). Noteworthy, sperm chromatin appeared to be electron dense in the testis, indicative of condensed DNA, again suggesting that severe DNA damage and fragmentation accumulate after spermiation.
Transcriptional and proteomic profiling reveals differences in Prm1 and Prm2-deficient male mice
To determine whether transcription is affected upon loss of protamines, we performed transcriptomic and proteomic analyses. Whole testis 3′-mRNA-sequencing revealed that, compared with WT testis, 99 genes showed higher and 11 showed lower expression in Prm1−/− testis, whereas 28 genes showed higher and 39 showed lower expression in Prm1+/− testis (Fig. 5A; Table S2). In Prm1−/− testis, pathway enrichment for immune-related genes (Il1b, Ccl5, Saa3, Atp6ap1, Rsad2, Cxcl10, Ifit1, Mmp13, Clec4e and Zdhhc1) was identified. These transcripts were slightly more abundant in Prm1−/− testis compared with WT testis, but showed overall low levels of expression (Table S2). This might indicate a reaction to ROS-induced damage or slight contamination with blood cells.
In order to determine whether proteins might be differentially abundant in mature sperm, we used mass spectrometry to analyze basic nuclear protein extracts of Prm1+/−, Prm1−/−, Prm2−/− and WT sperm. In Prm1−/− samples, 31 proteins were differentially abundant compared with WT sperm (Fig. 5B, Table S3). Of these, 21 were also differentially abundant in Prm2−/− samples. Proteins related to translation, mRNA splicing and protein folding (EEF1A1, EEF1A2, RPL13, RPL31, SRSF1 and PPIA) showed higher abundance in Prm1−/− or Prm2−/− sperm compared with WT sperm. Additionally, histones (H3F3, H3C) were more abundant in Prm1−/− and Prm2−/− sperm, indicating increased H3 histone retention. In addition, in Prm2−/− sperm histone H4C was also more abundant. Increased histone retention was validated using immunofluorescence (IF) staining against H3 on caput epididymal tissue sections (Fig. 5C; Fig. S9). H3 was detected in sperm on Prm1−/− and Prm2−/− sections, but not on Prm1+/−, Prm2+/− or WT sections. H4 was detected in Prm2−/− sperm, but not in Prm1+/−, Prm2+/− or WT sperm. Additionally, weak staining of H4 was detected in Prm1−/− sperm.
In Prm1−/− samples, further proteins were detected to be more abundant related to translation and mRNA splicing (RPL8, RPS8, RPL18, RPL24, RPL26, SRSF3 and SRSF7). Proteins related to stress response and apoptosis (B2M and CLU) were also more abundant in sperm lacking PRM1 or PRM2. This might reflect a stress response to the increased ROS-mediated sperm damage detected. By contrast, SMCP and SPESP1, proteins important for sperm motility and sperm-egg fusion, were less abundant in both Prm1−/− and Prm2−/− samples. Interestingly, heat shock-related 70 kDa protein 2 (HSPA2), which was more abundant in both Prm1−/− and Prm2−/− samples, has been proposed to function as a transition protein (TP) chaperone in condensing spermatids (Govin et al., 2006). In order to test whether an elevated level of HSPA2 affects the presence of TPs, we used IF staining against TP1 (TNP1) and TP2 (TNP2) on Prm1−/−, Prm1+/− and Prm1+/+ caput epididymis tissue sections (Fig. S10). TP1 and TP2 were detected in caput Prm1−/− sperm, but not in Prm1+/− or Prm1+/+ sections. A higher abundance of HSPA2 in Prm1−/− and Prm2−/− epidydimal sperm compared with WT could be indicative of TP-HSPA2 complexes and, in turn, impaired or incomplete TP unloading. As shown by co-IF staining against TP1 and PRM2, the majority of TP1-positive Prm1−/− caput sperm stained positive for both proteins.
Only one protein, the ribosomal protein RPL31, which was also identified in Prm1−/− and Prm2−/− samples, was more abundant in Prm1+/− sperm basic protein extracts compared with WT sperm. The fact that there was only one non-protamine protein differentially abundant in Prm1+/− basic protein extracts suggests that the Prm1+/− sperm protein profile is not causative of the subfertility observed in these mice.
Protamine and basic protein content are altered in protamine-deficient epididymal sperm
Next, we analyzed the level of protamination using Chromomycin A3 (CMA3), a dye competing with protamines to bind CG-rich regions to the minor groove of DNA (Sadeghi et al., 2019). Whereas 98% of Prm1+/− sperm showed CMA3 staining, only ∼29% of Prm2+/− sperm showed a CMA3 signal (Fig. 6A,B). These data suggest that chromatin in Prm1+/− and Prm2+/− sperm is either not fully or not correctly protaminated, with the effects being more dramatic in Prm1+/− sperm. Of note, sperm from Prm1−/− and Prm2−/− mice could not be analyzed because severe DNA fragmentation interfered with the staining procedure.
To further analyze the relative protamine content and protamination of epididymal sperm of Prm1+/−, Prm1−/−, Prm2+/−, Prm2−/− and WT mice in more detail, basic proteins were separated on acid-urea polyacrylamide gels (AU-PAGE). Most interestingly, in sperm from Prm1+/− and Prm1−/− mice, PRM2 precursors (pre-PRM2) were detected, suggesting disturbances in processing of PRM2 upon loss of PRM1 (Fig. 6C, dashed vermillion box). Furthermore, we quantified the relative amounts of basic proteins within individual samples (Fig. 6D-G; Fig. S11). Of note, basic protein extractions are enriched for nuclear proteins, but also contain other basic sperm proteins. We identified ODF2, GPX4 and SPAG8 to contribute to the prominent Coomassie-stained bands in the upper part of the AU-PAGE (Fig. S12A). Noteworthy, canonical histones or testis-specific histone variants ran mainly in the middle of the gel (Fig. S12A,B).
While the relative amount of mPRM2 to total protamine was not significantly different in Prm1+/− and Prm2+/− sperm compared with WT (Fig. 6D), the total amount of PRM2 (mPRM2+pre-PRM2) was significantly higher in Prm1+/− sperm (83%) only (Fig. 6E). Taking these data into account, the PRM1:PRM2 ratio in Prm1+/− sperm shifted to ∼1:5, whereas the species-specific protamine ratio of 1:2 was maintained in Prm2+/− sperm, which is comparable to WT (Corzett et al., 2002). Consequently, the pre-PRM2 content of total PRM2 was significantly larger in Prm1+/− and Prm1−/− sperm compared with Prm2+/− sperm (Fig. 6F).
DISCUSSION
In this study, mice deficient for Prm1 were generated using CRISPR-Cas9-mediated gene editing. Prm1−/− male mice were infertile, whereas loss of one allele of Prm1 resulted in subfertility. Prm1−/− sperm showed severe DNA fragmentation, high levels of 8-OHdG, destructured membranes and complete immotility. Prm1+/− sperm showed moderate ROS-induced DNA damage, reduced sperm motility and a shifted PRM1:PRM2 ratio. Prm1−/− and Prm1+/− sperm contained high levels of incompletely processed PRM2, suggesting that PRM1 is necessary for correct PRM2 processing.
Protamine-deficient mouse models have been described and associated with male factor infertility in previous studies (Cho et al., 2003, 2001; Takeda et al., 2016; Mashiko et al., 2013). However, contrary to previous studies, we show that Prm1+/− males were able to produce offspring by natural breeding. Prm1-deficient chimeras, which have been generated by classical gene-targeting techniques, were reported to be infertile (Cho et al., 2001), excluding mouse line establishment and detailed studies on Prm1 deficiency. Takeda et al. were, however, able to generate viable offspring from Prm1+/− males by in vitro fertilization (IVF) of zona-free oocytes (Takeda et al., 2016). Furthermore, Mashiko et al. reported that CRISPR-Cas9-mediated Prm1+/− mice were infertile, although detailed fertility statistics and phenotypical analysis of Prm1-deficient mice were not performed (Mashiko et al., 2013). Given that the Prm1+/− males in the current study were subfertile, we were able to generate and analyze Prm1−/− mice. Takeda et al. used embryonic stem cell (ESC)-targeting technology, which might explain the differences in Prm1+/− fertility. In contrast, Mashiko et al. used both the identical strain (C57BL/6J × DBA, backcrossed to C57BL/6J) and technology to the current study, they might not have performed a sufficiently exhaustive fertility analysis in order to detect subfertility.
Spermatogenesis was overtly normal in Prm1−/− (and Prm1+/−) mice compared with WT mice. Similar results were described for Prm2−/− mice, in which spermatogenesis appears to be orderly (Schneider et al., 2016) whereas epididymal sperm show severe damage. It was reported that an oxidative stress-mediated destruction cascade is initiated during epididymal sperm maturation in Prm2−/− mice (Schneider et al., 2016, 2020). While it is well known that low levels of ROS are required for proper sperm function, high levels cause sperm pathologies (de Lamirande et al., 1997). Accumulation of ROS and loss of the antioxidant capacity of Prm2−/− sperm caused severe DNA fragmentation, sperm immotility and sperm membrane damage. We have observed even earlier effects in Prm1−/− mice displaying ROS-mediated DNA damage in the testis already (Schneider et al., 2016). Thus, loss of Prm1 renders the ROS system more fragile at an even earlier stage of sperm development. Of note, abnormal epididymal sperm head shapes were detected for both Prm1−/− and Prm2−/− sperm (Schneider et al., 2020). However, sperm isolated from the testis showed normal head shapes, suggesting that the altered head shapes are caused by increasing levels of ROS.
Transcriptional profiling of the whole testis revealed only small differences in gene expression in Prm1−/− males compared with Prm1+/− and Prm1+/+ males. However, we did detect increased histone retention in Prm1−/− and Prm2−/− sperm using mass spectrometry and IF. Differential abundance analysis of basic proteins in Prm1−/− and Prm2−/− epididymal sperm showed proteins related to translation and apoptotic processes, consistent with the secondary effects observed. However, only moderate differences were detected in Prm1+/− sperm compared with WT, indicating that these changes are unlikely to contribute to the phenotype observed. Interestingly, HSPA2, which was proposed as a TP chaperone (Govin et al., 2006), was more abundant in Prm1−/− and Prm2−/− sperm compared with WT. Given that we detected slight transition protein retention in Prm1−/−, but not in Prm1+/− caput epidydimal sperm, this might indicate that TP unloading is disturbed in Prm1−/− sperm, leading to the more abundant HSPA2 protein level.
Whereas Prm1−/− male mice displayed a phenocopy of Prm2−/− male mice, marked differences were found between heterozygous males. Interestingly, Prm1+/− males were subfertile, showing a reduction in mean litter sizes and lower pregnancy frequencies. Of note, Prm2+/− are fertile (Schneider et al., 2016). This suggests that the loss of one allele of Prm1, in contrast to the loss of one allele of Prm2, cannot be tolerated. Transmission electron micrographs revealed that DNA of Prm1+/− sperm appeared to be electron dense, suggesting that the chromatin in sperm is condensed to the same level as in Prm2+/− (Schneider et al., 2016) and WT sperm. This raises the question as to why Prm1+/− males are subfertile.
We showed that a small population of Prm1+/− epididymal sperm stained positive for 8-OHdG. In addition, genomic DNA isolated from Prm1+/− sperm was partially fragmented. This indicates that some sperm experience DNA damage caused by ROS rather than all sperm bearing some degree of DNA damage. Surprisingly, however, we did not detect marked differences in chromatin condensation or membrane integrity between WT and Prm1+/− sperm. Prm2+/− sperm do not show an increase in ROS-mediated DNA damage compared with WT sperm (Schneider et al., 2020). Thus, Prm1+/− sperm appear to be more sensitive or more exposed to oxidative stress-mediated damage compared with Prm2+/− sperm. This might contribute to the subfertility of Prm1+/− males.
Noteworthy, redox imbalance in sperm has been repeatedly connected to not only sperm DNA damage, but also reduced sperm motility in men (Alahmar, 2019). It has been reported that sperm mitochondria present a significant source of ROS in defective sperm (Koppers et al., 2008). In humans, spontaneous production of mitochondrial ROS by defective sperm causes peroxidative damage to the sperm midpiece, leading to reduced sperm motility. One of the major differences between Prm1+/− and Prm2+/− sperm is that the loss of one allele of Prm1 leads to a marked decrease in sperm motility, whereas Prm2+/− sperm motility is not significantly different from that of WT sperm (Schneider et al., 2016). Only ∼23% of Prm1+/− sperm were motile, an amount that, in humans, qualifies as asthenozoospermic, according to the WHO criteria (Alahmar, 2019; Cooper et al., 2010; World Health Organization, 2010). Given that mitochondrial ROS is negatively correlated with sperm motility and we detected a moderate increase in ROS in Prm1+/− sperm compared with WT, we believe that reduced sperm motility in Prm1+/− males is (at least partially) caused by ROS, which contributes to the subfertility observed in Prm1+/− males. Of note, motility defects were described in Prm1+/− mice generated by Takeda et al. (2016). They reported that Prm1+/− sperm show a reduction in the mitochondrial membrane potential, which has been associated with reduced sperm motility (Gawlik et al., 2008). Furthermore, scanning electron microscopy revealed various tail deformities in Prm1+/− sperm. Here, we found similar sperm tail defects in transmission electron micrographs of Prm1+/− and Prm1−/− sperm.
Another notable difference between Prm1+/− and Prm2+/− sperm was the aberrant DNA protamination revealed by CMA3 staining. While approximately one-third of Prm2+/− sperm stained with CMA3, ∼98% of Prm1+/− sperm were CMA3 positive. In human ejaculates, the percentage of CMA3-positive sperm varies considerably (Lolis et al., 1996) and values of up to 30% CMA3-positive sperm have been defined for normal semen samples from fertile men (Sakkas et al., 1996; Zandemami et al., 2012). Thus, we argue that the 29% of CMA3-positive sperm seen in Prm2+/− males, despite being higher than the values detected in WT controls, can be tolerated and do not affect regular fertility. However, it is surprising that only 2% of CMA3-negative sperm in Prm1+/− mice still resulted in a partially retained fertility. Enhanced CMA3 staining of sperm was correlated with increased histone retention. Surprisingly, the high CMA3 level in Prm1+/− sperm could not be correlated with increased histone retention as shown by mass spectrometry and IF. One possible explanation for the intense CMA3 staining in Prm1+/− sperm could be the vast amounts of pre-PRM2 detected in basic protein extracts from epididymal sperm. We hypothesize that the failure of processing of pre-PRM2 and pre-PRM2 loading onto sperm DNA might allow the intercalating dye to access DNA and stain the chromatin.
Defects in PRM2 processing were also described for Prm1+/− mice developed by Takeda et al., as well as in histone variant H2A.L.2-knockout (KO), TP1/TP2-double KO, TP2-KO and cleaved PRM2 cP2-KO mouse models (Arévalo et al., 2022; Zhao et al., 2001; Barral et al., 2017; Shirley et al., 2004; Takeda et al., 2016), all of which display fertility problems. Interestingly, a recent study showed that mutation of a single non-arginine residue in PRM1 (P1K49A/K49A) leads to impaired PRM2 processing in mice (Moritz et al., 2021 preprint). Of note, Prm2+/− sperm also contain scarce amounts of pre-PRM2. However, the relative amount of pre-PRM2 is significantly larger in Prm1+/− sperm. Hence, species-specific PRM1 levels are required for accurate PRM2 processing and alterations of these levels unequivocally lead to reduced fertility. Noteworthy, the presence of pre-PRM2 in subfertile human sperm has been described previously (de Yebra et al., 1998).
In addition to high levels of pre-PRM2, Prm1+/− sperm displayed a shift in the PRM1:PRM2 ratio from ∼1:2 in WT sperm to 1:5 in Prm1+/− sperm. Furthermore, in cP2-deficient mice, a shift in the protamine ratio has been described. Arévalo et al. have shown that mice lacking the highly conserved N-terminal part of PRM2, called cleaved PRM2 (cP2), display defective PRM2 processing and a PRM1:PRM2 ratio of ∼5:1 (Arévalo et al., 2022). Mice lacking cP2 on one allele are infertile. Given that Prm1+/− males were subfertile, it appears that a ratio of 1:5 can be tolerated to some extent, whereas a 5:1 ratio is incompatible with fertility. Of note, the protamine ratio in Prm2+/− sperm was not significantly different from WT sperm, explaining their regular fertility. In humans, alterations of the species-specific ratio at both the protein and transcript level have been repeatedly correlated with male sub- and infertility (Aoki et al., 2005; Balhorn et al., 1988; Belokopytova et al., 1993; Bench et al., 1998; de Yebra et al., 1998; García-Peiró et al., 2011; Khara et al., 1997; Ni et al., 2016; Oliva, 2006; Steger et al., 2001, 2003, 2008; Torregrosa et al., 2006). These results once again underline the importance of the protamine ratio in species expressing both protamines.
Of note, the protamine ratio in mice harboring a C-terminally altered allele of protamine 1 (P1K49A/K49A) was unaltered, contrary to the Prm1+/− sperm analyzed here (Moritz et al., 2021 preprint). Similar to Prm1+/− mice, P1K49A/K49A mice are subfertile. Interestingly, P1K49A/K49A sperm show increased histone retention, similar to Prm1−/− and Prm2−/− sperm, which was not detected in Prm1 +/− sperm. Thus, the presence of one functional Prm1 allele is sufficient for accurate histone eviction.
In summary, we generated and characterized Prm1-deficient mice. We demonstrated that Prm1+/− mice are subfertile, exhibiting sperm with moderate ROS-induced DNA damage and reduced motility. Compared with Prm2+/− sperm, large amounts of pre-PRM2 were detected in Prm1+/− sperm. Although the crucial species-specific protamine ratio was maintained in Prm2+/− sperm, Prm1+/− sperm exhibited an aberrant protamine ratio. We also demonstrated that Prm1−/− and Prm2−/− mice displayed increased histone retention and redox imbalance, leading to severe sperm damage, which rendered males infertile. Loss of Prm1 appeared to trigger the ROS system at an even earlier stage compared with the loss of Prm2. By intercrossing the Prm1-deficient mouse line presented here with our previously published Prm2+/− model, we will next generate and analyze Prm1+/− Prm2+/− double-heterozygous males, which will further advance our knowledge of the molecular consequences of disturbances in PRM1 and PRM2 levels and the PRM1:PRM2 ratio.
MATERIALS AND METHODS
Ethics statement
All animal experiments were conducted according to the German law of animal protection and in agreement with the approval of the local institutional animal care committees (Landesamt für Natur, Umwelt und Verbraucherschutz, North Rhine-Westphalia, approval ID: AZ84-02.04.2013.A429; AZ81-0204.2018.A369).
Generation of Prm1-deficient mice
Single guide (sg)RNAs (sg1_ts: 5′-CACCGCGAAGATGTCGCAGACGG; sg1_bs: 5′-AAACCCGTCTGCGACATCTTCGC; sg2_ts: 5′-CACCGTGTATGAGCGGCGGCGA, sg2_bs: 5′-AAACTCGCCGCCGCTCATACAC) were tested in ESCs as described previously (Schneider et al., 2016). The sgRNAs targeted exon 1 and exon 2 of Prm1.
CRISPR-Cas9-mediated gene editing of zygotes was performed as described previously (Schneider et al., 2016). In brief, 6-8-week-old B6D2F1 females were superovulated by intraperitoneal injections of 5 i.u. pregnant mare's serum (PMS; hor-272-b, ProSpec) and 5 i.u. human chorionic gonadotropin (hCG; Orogest, MSD). Females were mated with B6D2F1 males and zygotes were isolated 0.5 days post copulation (dpc). sgRNAs (50 ng/µl each) were microinjected together with Cas9 mRNA (100 ng/µl). After culturing in KSOM medium (G-TL; 10145, Vitrolife) for 3 days, developing blastocysts were transferred into the uteri of pseudo-pregnant CB6F1 foster mice. Offspring were genotyped by PCR and sequenced to identify founder animals. After first backcrossing to C57BL/6J mice, the F1 generation was sequenced. The allele (NM_013637.5:c.51_125del) was further back-crossed to C57BL/6J mice. Starting from the N4 generation, analyses were performed using male mice aged between 8 and 13 weeks.
Prm2-deficient mice
Prm2-deficient mice (MGI: 5760133; 5770554) generated and analyzed by Schneider et al. (2016, 2020) were used for comparison with Prm1-deficient mice and WT.
Genotyping and sequencing of mice
Primers flanking the gene-edited region (Prm1_fwd: 5′-CCACAGCCCACAAAATTCCAC, Prm1_rev: 5′-TCGGACGGTGGCATTTTTCA) were used to amplify both the WT and edited alleles [cycling conditions: 2 min 95°C; 30× (30 s 95°C; 30 s 64°C; 35 s 72°C); 5 min 72°C]. PCR products (WT allele, 437 bp; Prm1Δ167, 270 bp) were separated on agarose gels.
PCR products were cloned using the TOPO TA Cloning Kit with pCR 2.1-TOPO (Thermo Fisher Scientific) according to the manufacturer's instructions. Plasmids were transformed into E.cloni 10G Chemically Competent Cells (Lucigen) according to the manufacturer's instructions, isolated by alkaline lysis and sequenced by GATC/Eurofins.
Fertility assessment
Fertility was tested by mating male mice 1:1/1:2 to C57BL/6J females. Females were examined for the presence of a vaginal plug daily. Plug-positive females were separated and monitored. Pregnancies and litter sizes were recorded. A minimum of five plugs per male were evaluated. Male mice entered the fertility testing aged between 8 and 13 weeks. Female mice were aged between 10 and 16 weeks.
Immunohistochemistry/immunofluorescence
Tissues were fixed in Bouin's solution (75% saturated picric acid, 10% formalin, 5% glacial acetic acid) or paraformaldehyde (PFA; 4% w/v PFA/water) (4°C, overnight) and processed in paraffin; 3 µm sections were then generated using a microtome (Microm CP60). After deparaffinization, slides were treated with decondensation buffer, as described previously (Schneider et al., 2020). Heat-mediated antigen retrieval was performed (citrate buffer pH 6.0) for 20 min, followed by blocking in Tris-HCl buffer (pH 7.4, 5% bovine serum albumin, 0.5% Triton X-100) and primary antibody treatment overnight at 4°C. For IHC staining against protamines [anti-PRM1 (Hup1N) and anti-PRM2 (Hup2B) Briar Patch Biosciences; 1:200], slides were treated with 3% H2O2 for 30 min after decondensation. Biotinylated goat-anti-mouse antibodies (Dako; E0433; 1:200) was used as secondary antibodies (1 h, room temperature), processed using a Vectastain Elite ABC-HRP Kit (Vector Laboratories; PK-6100) and stained with AEC-solution (Dako, AEC+ Substrate, K3469). Counterstain was performed using Hematoxylin. For IF against 8-OHdG (Santa Cruz Biotechnology; sc-66036; 1:200), goat-anti-mouse Alexa Fluor 488 antibodies (Thermo Fisher Scientific; A-11001; 1:500) were used as secondary antibodies for 2 h at room temperature. Nuclei were stained using 1 µg/ml Hoechst (Thermo Fisher Scientific; 33342). 8-OHdG-positive sperm were quantified using the Adobe Photoshop counting tool. Two tubule cross-sections per organ per mouse for three animals per genotype were analyzed. Slides for IF against TP1 (Abcam; ab73135; 1:1000), TNP2 (Santa Cruz Biotechnology; sc-393843; 1:100), H3 (Abcam; ab1791; 1:1500), H4 (Abcam; ab177840; 1:2000) and PRM2 (Briar Patch Biosciences; 1:200) were processed using the VectaFluor Duet Double Labeling Kit (Vector Laboratories; DK-8828) and mounted with ROTI Mount FluorCare DAPI (Carl Roth).
Macroscopic analysis of testis
Sections of Bouin-fixed testis were deparaffinized, hydrated, stained with Hemalum solution acid (Henricks and Mayer, 1965) and Eosin Y solution (Carl Roth), dehydrated and mounted with Entellan (Sigma-Aldrich/Merck). Tubule diameters were determined by measuring the horizontal and vertical diameters of at least 25 tubules per testis cross-section. The number of elongated spermatids per tubules for a minimum of five tubules per mouse was counted with the ImageJ cell counter. Images were white balanced using the ImageJ macro ‘White balance correction_1.0’ originally written by Vytas Bindokas (2006, University of Chicago, USA) and modified by Patrice Mascalchi (2014, University of Cambridge, UK).
Periodic Acid Schiff staining
Periodic Acid Schiff (PAS) staining was performed as previously described (Schneider et al., 2020). After deparaffinization and rehydration, slides were incubated for 10 min in periodic acid (0.5%), rinsed in H2O, incubated for 20 min with Schiff reagent, counterstained and coverslipped.
Isolation of epididymal sperm
Sperm were isolated from the cauda epididymis by swim-out as previously described (Schneider et al., 2016). The epididymal tissue was incised multiple times and incubated in M2 medium (Sigma-Aldrich) or PBS at 37°C for 15-30 min.
Transmission electron microscopy
Isolated sperm were pelleted (10,000 g, 2 min), fixed in 3% glutaraldehyde at 4°C overnight, washed with 0.1 M cacodylate buffer (twice for 15 min each), post-fixed with 2% osmium tetroxide at 4°C for 2 h and washed again. After dehydration in an ascending ethanol series and contrasting in 70% (v/v) ethanol 0.5% (m/v) uranyl acetate (1-1.5 h, 4°C), samples were washed with propylenoxide (three times for 10 min each at room temperature) and stored in propylenoxide:Epon C [1:1 (v/v)] at 4°C overnight. Next, the pellets were embedded in Epon C (70°C, 48 h). Ultra-thin sections were examined using a Philips CM10 transmission electron microscope equipped with analySiS imaging software. Using ImageJ, 100 sperm per sample were analyzed to determine the difference between the minimum and maximum gray values. Chromatin condensation status was categorized according to high (<150), intermediate (150-180) and low (>180) differences in gray scale. Sections used to examine sperm flagella were taken with a scanning electron microscope (FEI Verios 460L) equipped with a STEM3 detector.
Assessment of sperm DNA integrity
Sperm genomic DNA was isolated as previously described (Weyrich, 2012) with minor adjustments. Briefly, sperm were incubated in 500 µl lysis buffer [1 M Tris-HCl pH 8.0, 3 M NaCl, 0.5 M EDTA, 20% (m/v) SDS] supplemented with 21 µl 1 M DTT, 2.5 µl 0.5% Triton X-100 and 40 µl 10 mg/ml proteinase K at 50°C overnight. After centrifugation (15,500 g, 10 min), 1 µl 20 mg/ml glycogen and 1/10 vol 3 M NaAc were added to the supernatant. Precipitation was performed using absolute ethanol for 2 h at −80°C followed by 45 min at −20°C. The pellet was washed with 75% ethanol and dried in a Speed Vac DNA110 (Savant). DNA was dissolved in 30 µl TE buffer (10 mM Tris/HCl, 1 mM EDTA, pH 8.0).
Chromomycin A3 staining
Epididymal sperm were fixed in Carnoy’s solution [3:1 methanol:acetic acid (v/v)], spread on microscope slides and covered with 100 µl CMA3 solution [0.25 mg/ml CMA3 in Mcllvaine buffer (pH 7.0, containing 10 mM MgCl2)]. After incubation for 20 min in the dark, slides were rinsed with Mcllvaine buffer and mounted with ROTI Mount FluorCare DAPI. In total, 400 sperm per mouse were analyzed.
Analysis of sperm membrane integrity
Eosin-Nigrosin staining
To analyze sperm membrane integrity, 50 μl of sperm swim-out and 50 μl EN stain [0.67 g Eosin Y (color index 45380), 0.9 g sodium chloride, 10 g Nigrosin (color index 50420) and 100 ml ddH2O] were mixed and incubated for 30 s. Then, 30 μl of the mix was pipetted onto microscope slides, smeared and mounted with Entellan. In total, 200 sperm per animal were analyzed.
Hypoosmotic swelling test
For the HOS test, 100 μl of sperm swim-out was mixed with 1 ml pre-warmed HOS solution (1.375 g D-fructose, 0.75 g sodium citrate dihydrate, 100 ml ddH2O) and incubated for 30 min at 37°C. The solution was dropped onto a microscope slide, covered with a cover slip and analyzed within 1 h. In total, 200 sperm per animal were evaluated.
RNA-sequencing and differential expression analysis
RNA was extracted from whole testis of three individuals per genotype. After removal of the tunica albuginea, testes were homogenized in TRIzol (Thermo Fisher Scientific) and processed according to the manufacturer’s protocol. RNA integrity (RIN) was determined using the RNA Nano 6000 Assay Kit with the Agilent Bioanalyzer 2100 system (Agilent Technologies). RIN values were >7 for all samples. RNA sample quality control, library preparation (QuantSeq 3′-mRNA Library Prep; Lexogen) and RNA-sequencing were performed by the University of Bonn Core Facility for Next Generation Sequencing (NGS). Sequencing was performed on the Illumina HiSeq 2500 V4 platform, producing >10 million, 50 bp 3′-end reads per sample.
Samples were mapped to the mouse genome (GRCm38.89) using HISAT2 2.1 (Kim et al., 2015) and transcripts were quantified and annotated using StringTie 1.3.3 (Pertea et al., 2015). Gene annotation was retrieved from the Ensembl FTP server (ftp://ftp.ensembl.org) (GRCm38.89). The Python script (preDE.py) included in the StringTie package was used to prepare DEseq2-compatible gene-level count matrices for analysis of differential gene expression. Mapping to the Prm1 genomic location was visualized using the Integrative Genomics Viewer (IGV) (Robinson et al., 2011).
Differential expression (DE) was analyzed using DESeq2 1.16.1 (Love et al., 2014). The adjusted P-value (Benjamini–Hochberg method) cut-off for DE was set at <0.05; the log2-fold change (LFC) in expression cut-off was set at >1. We performed Gene Ontology (GO) term and pathway over-representation analyses on relevant lists of genes using the PANTHER gene list analysis tool with Fisher's exact test and false discovery rate (FDR) correction (Mi et al., 2017).
Mass spectrometry and differential protein abundance analysis
Sperm basic nuclear proteins from three WT, three Prm1−/− and three Prm2−/− mice were isolated as described below and used for mass spectrometric analysis. Peptide preparation, liquid chromatography (LC)-mass spectrometry (MS) and differential abundance (DA) analysis were performed at the University of Bonn Core Facility Mass Spectrometry.
For peptide preparation, protein solutions (5.5 M urea, 20% 2-mercaptoethanol, 5% acetic acid) were dried in a vacuum concentrator and subjected to in-solution preparation of peptides as described previously (Arévalo et al., 2022). Briefly, cysteines were alkylated with acrylamide and digested with trypsin, followed by desalting.
LC-MS measurements were performed according to Arévalo et al. (2022). Briefly, peptides were separated on a self-packed reversed-phase column within a 90 min gradient. Peptide ions were analyzed with an Orbitrap Lumos mass spectrometer in data-dependent mode with a top-speed method. Precursors and fragment ions were recorded with the Orbitrap detector.
Raw data processing was performed with Proteome Discoverer software in combination with Mascot server version 2.6.1 using Mus musculus sequences from SwissProt (2021/03, including isoforms), and contaminants [cRAP (Mellacheruvu et al., 2013)]. Mascot results were filtered for 1% FDR on the basis of q-values from the percolator algorithm (Käll et al., 2008). Spectra with identifications <1% q-value were sent for a second round of database search with semi-tryptic enzyme specificity. Summed abundances were used for relative quantification.
Differential abundance (DA) analysis was performed using the Bioconductor package proDA (Ahlmann-Eltze and Anders, 2021 preprint) using peptide spectrum match (PSM)-level data extracted from Protein Discoverer. Only proteins detected in all genotypes and all replicates with more than two peptides were included in the analysis. The data were log2 transformed and median normalized prior to DA analysis to ensure comparability. The proDA package is based on linear models and uses Bayesian priors to increase power for DA detection (Ahlmann-Eltze and Anders, 2021 preprint). Proteins with a LFC >1 and FDR adjusted P<0.05 were considered differentially abundant compared with WT. Plots were generated using the R-package ggplot2 (Wickham, 2011).
Sperm nuclear morphology analysis
Epididymal sperm were analyzed using the ImageJ plugin ‘Nuclear_Morphology_Analysis_1.18.1_standalone’ (Skinner et al., 2019) as described previously (Schneider et al., 2020). In brief, sperm were fixed in Carnoy's solution, spread on slides, mounted with ROTI Mount FluorCare DAPI and imaged at 100× magnification. A minimum of 100 sperm heads per sample from four biological replicates were analyzed. Testicular sperm on slides were imaged at 63× magnification and a minimum of 120 sperm per genotype were analyzed.
Isolation of testicular sperm
Testicular sperm were prepared and isolated as described previously (Kotaja et al., 2004). In brief, testes were decapsulated and immersed in PBS. The tubules were separated and pulled apart. Using a Leica MS5 stereomicroscope and a Schott KL1500 light source, tubule segments with the highest light absorption were selected and cut into pieces. Selected pieces were transferred to a glass slide using a pipette and covered with a cover slip. Slides were frozen in liquid nitrogen and the cover slip was flipped off. Cells were fixed for 5 min in Carnoy’s solution, stained with ROTI Mount FluorCare DAPI and covered with a cover slip.
Sperm motility analysis
Epididymal sperm swim-out was performed in 1 ml sterile filtered THY medium (138 mM NaCl, 4.8 mM KCl, 2 mM CaCl2, 1.2 mM KH2PO4, 1 mM MgSO4, 5.6 mM glucose, 10 mM HEPES, 0.5 mM sodium pyruvate, 10 mM L-lactate, pH 7.4, 310-320 mOsm) for 15 min at 37°C. Next, sperm were diluted 1:20-1:50 in dilution medium (3 mg/ml bovine serum albumin in THY medium). Then, 30 µl of the dilution were pipetted onto a glass slide equipped with a spacer and cover slip, placed on a heated slide holder (37°C) and analyzed under an inverted microscope (Leica, DM-IRB) equipped with a camera (acA1920-155ucMED; Basler). The movement of sperm was recorded at 100 frames/s for 3 s and analyzed in ImageJ. The produced ‘z project’ was used to distinguish and count moving and non-moving sperm (n=100 sperm/mouse).
Analysis of sperm basic proteins
Isolation of sperm nuclear proteins was performed according to Soler-Ventura et al. (2018). Briefly, sperm were counted, washed in PBS, pelleted and resuspended in 200 µl buffer containing 4 µl 1 M Tris pH 8, 0.8 µl 0.5 M MgCl2 and 5 µl Triton X-100. After centrifugation at 8940 g for 5 min at 4°C, the pellet was mixed with 1 mM phenylmethylsulfonyl fluoride (PMSF). Lysed cells were mixed with solution 1 containing PMSF and EDTA (10 mM PMSF, 2 mM EDTA, 100 mM Tris, pH 8) and solution 2 containing DTT and GuHCl (0.04435 g in 0.5 ml 6 M GuHCl) and vinylpyridine (0.8%) and incubated for 30 min at 37°C. The addition of 5× ice-cold 100% ethanol precipitated any DNA. Proteins were dissolved in 0.5 M HCl and precipitated with 100% trichloroacetic acid at 4°C. After two acetone washes, the proteins were lyophilized and resuspended in sample buffer (5.5 M urea, 20% 2-mercaptoethanol, 5% acetic acid).
Next, the basic proteins were separated on a pre-electrophorized 15% AU-PAGE (2.5 M urea, 0.9 M acetic acid, 15% acrylamide/ 0.1% N,N′-methylene bis-acrylamide, tetramethylethylenediamine and ammonium persulfate) and visualized with Coomassie Brilliant Blue. Quantification was performed using ImageJ as described previously (Arévalo et al., 2022).
The recombinant (human) histones H1, H2A, H2B, TH2B, H3.1 and H3.3 (Active Motif; 81126, 31490, 31492, 31577, 31294 and 31295, respectively) (1 µg per well) were loaded on a 15% AU-PAGE gel together with WT sperm basic extracts and visualized with Coomassie Brilliant Blue.
Immunoblotting
Basic protein extracts (equivalent to 1.5 million sperm per well) were separated on 15% AU-PAGE and transferred to PVDF membranes using the Trans-Blot Turbo System (Bio-Rad). Membranes were blocked in 1:1 TBS-0.1% Tween 20 (TBST) ChemiBLOCKER (Sigma-Aldrich/Merck) for 1 h at room temperature. Primary antibodies [ODF2 (Proteintech; 12058-1-AP; 1:500), GPX4 (Abcam; ab125066; 1:1000), H3 (Abcam; ab1791; 1:1000), H2A.L.2 (Govin et al., 2007; 1:1000), SPAG8 (Proteintech; 13915-1-AP; 1:500), PRM1 (1:1000), PRM2 (1:1000)] were diluted in blocking solution and membranes were incubated at 4°C overnight. After washing in TBST, the membranes were incubated with secondary antibodies [polyclonal goat anti-rabbit IgG/HRP (Agilent Technologies/Dako; P044801-2; 1:2000), polyclonal rabbit anti-mouse IgG/HRP (Agilent Technologies/Dako; P026002-2; 1:1000)] for 1 h at room temperature. Following washing in TBST, the signals were detected using WESTAR NOVA 2.0 chemiluminescent substrate (Cyanagen) and the ChemiDoc MP Imaging system (Bio-Rad).
Statistical analysis
Values are presented as means±standard deviation (s.d.) unless otherwise indicated. Statistical significance was calculated using a two-tailed, unpaired Student's t-test and a value of P<0.05 was considered significant (*P<0.05; **P<0.005; ***P<0.001).
Supplementary Material
Acknowledgements
We thank Gaby Beine, Andrea Jäger, Angela Egert, Irina Kosterin, Anna Pehlke, Greta Zech, Barbara Fröhlich and Tania Bloch for excellent technical assistance. Protein identifications were carried out at the University of Bonn Core Facility Mass Spectrometry, Institute of Biochemistry and Molecular Biology, Medical Faculty, University of Bonn, funded by the Deutsche Forschungsgemeinschaft (DFG; 386936527). We acknowledge the assistance of the University Bonn Core Facility Next Generation Sequencing (NGS) for their support. We thank the Microscopy Core Facility of the Medical Faculty at the University of Bonn for providing support and instrumentation funded by the DFG (388171357). We thank Dr Saadi Khochbin and Dr Sophie Barral for the kind gift of the H2A.L.2 antibody.
Footnotes
Competing interests
The authors declare no competing or financial interests.
Author contributions
Conceptualization: H.S.; Methodology: G.E.M., S.S., L.A.; Formal analysis: G.E.M., J.M., L.A., S.S., G.K., A.K., A.C.F.; Investigation: G.E.M., J.M., L.A., S.S.; Resources: K.S., H.S.; Data curation: L.A.; Writing - original draft: G.E.M.; Writing - review & editing: G.E.M., L.A., K.S., H.S.; Visualization: G.E.M., L.A.; Supervision: K.S., H.S.; Project administration: H.S.; Funding acquisition: K.S., H.S.
Funding
This study was supported by grants from the Deutsche Forschungsgemeinschaft to H.S. (SCHO 503/23-1, 503/15-2), L.A. (AR 1221/1-1) and K.S. (STE 892/19-1). Open access funding provided by basic funding of the Medizinische Fakultät, Rheinische Friedrich-Wilhelms-Universität Bonn to H.S. Deposited in PMC for immediate release.
Data availability
RNA-sequencing data are available at GEO under accession number GSE200050.
Peer review history
The peer review history is available online at https://journals.biologists.com/dev/article-lookup/doi/10.1242/dev.200330.
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