Abstract
Paternal exposure to drugs of abuse can impact addiction-related behaviours in progeny via germline epigenome remodelling. Previously, we found that offspring of morphine-exposed male rats showed increased morphine-taking, diminished adolescent social play, and increased sensitivity to morphine-derived analgesia. Here, we first tested the impact of a 90-day paternal abstinence period following morphine self-administration on the transmission of the aforementioned phenotypes. The previously observed changes in morphine-related behaviours were no longer present in offspring of morphine-abstinent sires. We next compared small RNA (smRNA) content in sperm collected from four sire intravenous self-administration groups: morphine, saline, abstinent morphine, and abstinent saline. Two smRNAs (rno-miR-150-5p and an snoRNA annotated to Snora42/Noc3l) were differentially expressed specifically between morphine- and saline-treated sperm. No differential expression between abstinent morphine and saline sperm was observed. These data begin to delineate the temporal limits of heritable germline modifications associated with morphine exposure, in addition to identifying F0 germline factors coinciding with the manifestation of F1 multigenerational phenotypes. Furthermore, these data suggest that paternal abstinence at conception can prevent inheritance of germline factors that may alter offspring susceptibility to addiction-related endophenotypes.
Keywords: Epigenetic inheritance, sperm RNA, opioid, intergenerational inheritance, miRNA
Introduction
Intergenerational inheritance is a phenomenon whereby exposures and experiences occurring during the parental (F0) generation’s lifetime may impact the expression of offspring (F1 generation) phenotypes, independently of inherited genomic DNA and parent–child interactions. Within the past ∼15 years, numerous environmental insults during the parental lifetime, including stress, diet, chemical, and drug exposures, have been associated with a broad range of altered offspring phenotypes [1–21]. Intergenerational inheritance induced by exposure to addictive drugs is a topic of increasing interest given their pervasive use and misuse among the general population. It is well accepted that neuropsychiatric risk stems from a complex combination of genetic and environmental factors. Expanding literature has reinforced an important role for heritable epigenetic [or otherwise extra-genomic, e.g. small RNAs (smRNAs)] germline factors in vulnerability to substance use disorders. Paternal exposure to psychostimulants, opioids, or cannabis can broadly impact addiction-related behaviours in progeny [9, 15, 19, 20, 22–32], with many studies noting corresponding changes in the F0 sperm epigenome and/or RNA content [9, 15, 23, 28, 33]. Few studies have explored the stability of these changes during periods of abstinence, and the functional mechanisms underlying the transmission of paternal drug exposure remain unclear.
Recent data from cannabis exposure models in animals [34–36] and humans [37, 38], as well as one cocaine mouse model [28], suggest that peri-conception F0 abstinence may mitigate intergenerational transmission of addiction-related phenotypes. However, this remains unexplored with respect to paternal opioid exposure. Under our previously established rat model of morphine-induced intergenerational inheritance, F0 sires continued to receive morphine during the breeding period—a measure taken to mitigate impacts of opioid withdrawal on mating behaviours. F1 offspring of morphine-self-administering sires exhibited increased morphine self-administration, impaired adolescent social play, and altered opioid-induced analgesia [29, 30, 39]. For the current study, we further examine the persistence of these phenotypes in F1 offspring bred from morphine-‘abstinent’ sires.
In the paternal line, drug-induced intergenerational inheritance is thought to be mediated by extra-genomic modifications to F0 sperm that are precipitated by the drug exposure. The precise biological pathways underlying germline inheritance and subsequent modification of F1 phenotypes are unclear, although sperm smRNAs, DNA methylation, and chromatin remodelling have emerged as compelling mechanistic candidates in male-line intergenerational inheritance [40–49]. Increasingly, it is thought that these processes collaborate to mediate intergenerational inheritance, possibly with varying relative contributions to the process [43, 50, 51]. Sperm-derived ncRNAs are favourable mechanistic targets: their transmission to the developing zygote, their necessity for viable embryonic development, and their sensitivity to external perturbations have been consistently demonstrated [41, 44, 45, 49, 52–56]. Sperm ncRNAs have further been found to interact with chromatin and DNA methylation processes related to epigenetic inheritance [43, 51, 57]. Direct manipulation of sperm RNA content at the level of fertilization has proven invaluable for identification of strong causal candidates for transmission of intergenerational phenotypes [54, 55, 58, 59]. In the current study, we compared the impact of either morphine or prolonged abstinence from morphine on smRNA sperm content. The 90-day abstinence period implemented within the current design encompasses the full duration of rat spermatogenesis (∼50–60 days [60]), ensuring that sperm involved in conception of abstinent-sired offspring are never directly exposed to morphine.
Materials and methods
Animals and housing
F0 males and females were Sprague–Dawley rats obtained from Taconic Laboratories. Rats were allowed at least 1 week of undisturbed acclimation to the facility prior to beginning experimental procedures. All F1 subjects were bred in-house from F0 breeders. Animals were maintained in a temperature- and humidity-controlled animal care facility on a 12-h/12-h light/dark cycle (lights off at 8:30 am). All behavioural testing was conducted during the lights-off (active) period. Animals were housed in pairs. Food and water were provided ad libitum in home cages. Subjects were handled daily for 2–5 min each for at least 5 days prior to the start of behavioural testing. All procedures were performed in accordance with the NIH Guide for the Care and Use of Laboratory Animals and were approved by the Temple University Institutional Animal Care and Use Committee (record no. 4926). The timeline of F0 self-administration, sperm collection, and F1 breeding are shown in Fig. 1.
Figure 1.

Experimental design depicting the timing of F0 exposure, sperm collection, and breeding to produce the F1 generation. Images generated using ‘BioRender’.
Drugs
Morphine sulphate obtained from Spectrum Chemical (Gardena, CA) was prepared as a solution in sterile 0.9% saline.
Jugular catheterization surgeries (for morphine intravenous self-administration)
Jugular catheter implantation was performed under ketamine (80 mg/kg)/xylazine (12 mg/kg), IP anaesthesia. An indwelling silastic catheter was threaded subcutaneously over the shoulder blade, inserted in the jugular vein, and sutured in place. The catheter was routed to a mesh back mount platform (Strategic Applications Inc., Lake Villa, IL) and sutured below the skin, between the shoulder blades. Following surgery, catheters were sealed with magnetic caps when not in use and were flushed regularly with 0.2 ml of timentin (0.93 mg/ml, in heparinized saline) to maintain patency. Animals were allowed at least 1 week of undisturbed recovery from surgery before beginning experimental procedures.
Sire morphine exposure and breeding
F0 males were allowed to lever press for intravenous morphine (daily 3-h sessions, 0.75 mg/kg morphine/59 µl saline, infused over 5 s) or 0.9% saline over 60 days (covering the duration of rodent spermatogenesis [61]). Lever presses were reinforced on a fixed ratio 1 (FR1) schedule, where one lever press resulted in a single infusion of morphine or saline, as described previously [5]. Infusions coincided with a 5-s light cue and were followed by a 20-s timeout period, during which the chamber light was turned off and lever presses were recorded but were not reinforced by infusions. Over 60 days of intravenous self-administration, the average number of infusions per day was 16.10 ± 2.18 (SEM) for morphine-exposed F0 males and 12.02 ± 2.06 (SEM) for saline-exposed F0 males.
A subset of F0 males underwent abstinence for 90 days following the conclusion of intravenous self-administration (F0ABS), during which they were housed in the animal facility under normal conditions and handled regularly. After the abstinence period, F0ABS males were each pair-housed with a naïve female over a period of 5 days to breed F1ABS offspring. F0ABS sires were then removed from home cages, and F0 dams were housed individually during the gestation period. F1ABS offspring were weaned at postnatal day (PND) 21 and pair-housed with same-sex littermates.
F1ABS morphine self-administration
Upon reaching adulthood (PND ∼60), F1 offspring were implanted with silastic catheters, as described earlier. Following recovery, F1ABS offspring were allowed to lever press for intravenous morphine (0.25 mg/kg/infusion) or 0.9% saline in daily 3-h sessions over 10 consecutive days. Lever presses were reinforced on an FR1 schedule, where one lever press resulted in a single infusion of morphine or saline. On day 11, rats were switched to a progressive ratio (PR) schedule, for which the response requirement for each subsequent morphine infusion increased over the course of a 6-h time period.
F1ABS social play
Social play behaviours were measured in F1ABS aged PND 22–31 (∼early adolescence). The first 2 days consisted of a once-daily habituation phase, during which drug-naïve F1 rats were individually placed in the testing arena (Plexiglas cage filled with cob bedding) for 10 min. Social play testing occurred 24 h after the final habituation session. Prior to beginning the social play trial, each subject was first removed from pair-housing and isolated for 3.5 h. After the isolation period, rats were paired with a play partner (partners were same-sex, with matching sire treatment, and from a different home cage) and video-recorded over 15 min in the testing arena. Pinning and pouncing behaviours were manually tallied from test day videos by two blinded independent scorers. Data averaged across the two scorers were analysed.
F1 pain assays
Behavioural responses to innocuous and noxious stimuli were analysed at a sub-second scale to identify underlying behavioural features, as previously described [29, 39]. After acclimation to a rectangular plexiglas testing chamber, subjects underwent a set of five stimuli applied to the left or right hind paw. Behavioural responses were recorded at 2000 fps (Photron FastCAM Mini AX 50 170 K-M-32GB—Monochrome). All subjects received all stimuli over 2 days of testing. The order of stimulus presentation was randomized between experimental groups. Videos were scored by blinded experimenters.
F0 sperm collection
Sperm was collected using a double swim-up procedure from a separate cohort of males exposed to either morphine or saline via intravenous self-administration, as described earlier. Sample collection was timed to match the previously established F0 breeding timepoints (at conclusion of intravenous self-administration for nonabstinent males or 90 days after conclusion of intravenous self-administration for abstinent males). For sperm extractions, rats were first euthanized via live decapitation, and cauda epididymides were immediately dissected and rinsed in phosphate-buffered saline. Cauda epididymides were then transferred to warmed (37°C) embryo culture media (M2 medium with HEPES (Sigma-Aldrich, St. Louis, MO) or Ham’s F-10 medium+GlutaMAX supplement (Gibco, Waltham, MA), and several small cuts were made in the tissue using a scalpel blade to liberate sperm. The tissue and medium were then transferred to a 15-ml conical tube, which was incubated in a water bath at 37°C for 30 min. Following the first incubation, the sperm-saturated supernatant (excluding settled tissue and the layer of media immediately overlying it) was transferred to a clean 15-ml conical tube, which was incubated again in a water bath at 37°C for 10 min. Tubes were then centrifuged for 10 min at ∼6000 g, 4°C to pellet the sperm. The supernatant was then gently poured off, and the sperm pellet was resuspended in a gentle hypotonic solution (0.45% NaCl solution, prepared in nuclease-free water) for an initial wash, then centrifuged again at ∼6000 g (4°C, 5 min) to repellet. The NaCl wash and centrifugation steps were repeated until pellets were visibly clear of bloody contamination (3–4 times for each pellet). The final sperm pellet was flash frozen on dry ice and stored at −80°C.
Sperm RNA extraction
Sperm pellets were resuspended in nuclear isolation buffer (15 mM Tris-HCL, pH 7.5, 60 mM KCl,15 mM NaCl, 5 mM MgCl2, 1 mM CaCl2, 250 mM sucrose, 1 mM dithiothreitol) with the following additives (per 10 ml of nuclear isolation buffer): 100 μl of 21 mM AEBSF, 125 μl of 800 mM sodium butyrate, 200 μl of 15% IGEPAL (in nuclease-free water), and one protease-inhibitor tablet (cOmplete Mini EDTA-free Protease Inhibitor Cocktail; Roche, Indianapolis, IN). Resuspended pellets were incubated on ice for 5 min, then transferred to a dry heat bath for 10 min at 37°C. The lysis solution was then transferred to a Dounce homogenizer, and TRIzol LS reagent (Invitrogen, Waltham, MA) was added before homogenization with a tight pestle (∼1 min). The lysate was then moved to a clean centrifuge tube and incubated in a dry heat bath for 5 min at 65°C. Lysate was then transferred back to the Dounce homogenizer, and homogenization with a tight pestle was repeated. The entire lysate was then drawn up and down 5 times through a sterile syringe fitted with a 27-g needle.
After homogenization, the lysate was transferred to a clean centrifuge tube and spun down at ∼800 g for 2 min at room temperature to pellet salts and cellular debris. The resulting supernatant was transferred to a clean centrifuge tube and combined with chloroform by vigorously shaking, then vortexing tubes for over 1 min. Tubes were then allowed to incubate at room temperature for 3 min, after which they were spun down at ∼12 000 g for 15 min at room temperature. The resulting aqueous phase was transferred to a new tube and combined with 2 μl of glycogen (from 20 μg/μl stock) and 600 μl isopropyl alcohol, which was then incubated overnight at −20°C to precipitate RNA.
The following day, samples were spun down at ∼12 000 g for 15 min, 4°C, and the resulting supernatant was pipetted off. Two pellet washes consisting of 75% ice-cold ethanol, followed by centrifugation at ∼8000 g for 6 min, 4°C, were then performed. Ethanol was then carefully pipetted off the washed pellet, which was allowed to air-dry at room temperature. The final RNA pellet was resuspended in nuclease-free water and stored at −80°C.
smRNA sequencing and analysis
smRNA libraries were prepared from sperm RNA using the NEBNext® Multiplex Small RNA Library Prep Set for Illumina and sent to GeneWiz/Azenta (Burlington, MA) for sequencing as 150-nt paired-end reads on the Illumina HiSeq 4000 platform (San Diego, CA). Analysis was performed using the forward reads. Count matrices and raw sequencing data files are uploaded to the Gene Expression Omnibus (accession no. GSE274906).
Sequencing read quality was assessed using FastQC [62]. Preprocessing and annotation to the miRbase [63] and Ensembl ncRNA rat databases were performed using sRNAbench [64] (see Supplementary Data S1 for sRNAbench settings). Briefly, following adaptor trimming and quality control, sRNAbench aligned reads to the rat genome. This step allows for more accurate annotation of ncRNA transcripts compared to the sometimes used ‘library mapping’ method, which maps directly to an ncRNA database. sRNAbench utilizes a hierarchical mapping approach: reads were first mapped to the miRbase and then filtered out, and the remaining reads were subsequently mapped to the Ensembl ncRNA library.
Annotated miRNA (‘mature_sense.grouped’) and ncRNA (‘ncRNA_sense.grouped’) read files were transferred to RStudio for assembly of count matrices, which were used as input for the DESeq2 differential gene expression analysis pipeline. miRNA and ncRNA matrices were analysed in two separate DESeq2 analyses, for which experimental groups (F0MOR, F0SAL, F0ABS-MOR, and F0ABS-SAL) were identified using a combined Abstinence/Treatment factor, allowing for indirect approximation of interaction effects with pairwise comparisons [65]. Differentially expressed transcripts were identified using the following criteria: statistical significance at a Benjamini–Hochberg adjusted P-value of <.1 and a log2 expression fold change of >|0.58|.
The DIANA-microT-coding sequence (CDS) algorithm was used to predict targets of rno-miR-150-5p [76] (http://www.microrna.gr/microt_webserver/), with the following settings: species = rat; miRNA resource = MirGeneDB 2.1; interaction score threshold = 0.7; miRNA confidence = high; MRE binding region = all [untranslated region (UTR) and CDS]. qPCR was used to validate differential expression of miR-150-5p, which has a validated assay available as an miRCURY LNA miRNA PCR Assay (Qiagen; Hilden, Germany). cDNA was reverse transcribed from sperm RNA samples using the miRCURY LNA RT kit, and qPCR was run on the Analytik Jena qTOWER3 (Jena, Germany) using the miRCURY LNA SYBR Green Kit. miR-186-5p was used as a housekeeping gene to calculate ΔCT values [66, 67]. ΔCT values were used in the analysis of group differences using unpaired t-tests. Data were graphed as 2−ΔΔCt (fold change).
Statistical analysis of behavioural data
Behavioural data were graphed and analysed using GraphPad Prism (v10.2.2, La Jolla, CA) and ‘jamovi' statistical software (v2.5, the jamovi project, https://www.jamovi.org) using the adapted GAMLj analysis module [68]. Each experimental group included F1 animals sired by four to seven unique sires (see Supplementary Data S2 for the number of sires represented per F1 experimental group).
With the exception of social play, for which each datapoint represented a pair of animals, all analyses included subject ID nested within sire ID as a random factor to account for potential variability associated with litter or sire exposure. If the model failed to converge with this random factor structure (as in the Female Intravenous Self-Administration Days 1–10 and Male Baseline Pain Response analyses), the nested factor was discarded and only subject was retained as a random factor.
Analyses were initially run on female and male F1 data with sex as a fixed factor. Notably, no significant main effects of sex or significant interactions between sex and treatment were identified (data not reported). Females and males were subsequently analysed separately, as described earlier.
Morphine self-administration data were analysed using linear mixed models, with ‘abstinent sire treatment’ and ‘day’ as fixed factors and sire ID as a random factor. PR infusions were compared using Mann–Whitney U tests. Baseline pain sensitivity was analysed with a linear mixed model, with ‘abstinent sire treatment’ and ‘stimulus’ as fixed factors and sire ID as a random factor. Pain responses after morphine injection were analysed as linear mixed models, with ‘abstinent sire treatment’, ‘timepoint’, and ‘stimulus’ as fixed factors, and sire ID as a random factor. Finally, social play behaviours (pinning and pouncing) were analysed as separate unpaired t-tests, with ‘abstinent sire treatment’ as the independent variable. Nonpatent rats were excluded from intravenous self-administration analyses. Significance was defined as P < .05 for all analyses.
Results
Morphine self-administration is unaltered in F1 offspring of morphine-abstinent sires
F1 offspring were bred from F0 males that underwent abstinence for 90 days following the conclusion of intravenous morphine or saline self-administration (F0ABS). Intravenous morphine self-administration under FR1 and PR schedules of reinforcement was measured in F1 offspring of abstinent sires (F1ABS offspring, see Fig. 1 for the timeline of F0 self-administration, sperm collection, and F1 breeding).
In F1ABS females, abstinent sire treatment did not impact morphine-taking over the 10-day FR1 acquisition period or infusions under a PR schedule of reinforcement (Fig. 2a, c; Supplementary Data S3). F1 male offspring of morphine-abstinent sires (F1ABS-MOR males) also self-administered morphine at levels comparable to saline-sired controls, both on an FR1 schedule (Fig. 2b) (effect of sire tx: F(1, 19) = 0.75, P = .400; sire tx*day interaction: F(9, 171) = 0.32, P = .966) and a PR schedule of reinforcement (U = 47.50, P = .466; Fig. 2d). This is in contrast with our previous findings of increased morphine-taking in F1 male offspring bred from nonabstinent morphine-administering fathers (data available as preprint [30]).
Figure 2.

Morphine self-administration at 0.25 mg/kg/infusion over a 10-day acquisition period in F1ABS females (a) and males (b); number of morphine infusions during the PR trial in F1ABS females (c) and males (d).
Adolescent social play behaviour is unaltered in F1 offspring of morphine-abstinent sires
Adolescent (PND 22–31) pinning and pouncing social play behaviours were measured in offspring of morphine-abstinent sires to evaluate developmental phenotypes that may predict susceptibility to opioid addiction in later life. Social play behaviours did not differ by sire treatment in F1ABS females (pinning: t(17) = 1.73, P = .102, Fig. 3a; pouncing; t(17) = 0.99, P = .338, Fig. 3b). Similarly, F1ABS-MOR males did not differ in the frequency of pinning (t(15) = 0.42, P = .68, Fig. 3c) or pouncing (t(15) = 0.14, P = .89, Fig. 3d) behaviours compared to F1ABS-SAL males. Notably, this contrasts our previous finding of reduced social play behaviours in F1 males bred from nonabstinent morphine-exposed sires [39].
Figure 3.

Social play behaviours assessed in F1ABS-SAL and F1ABS-MOR offspring. Top panel: number of F1ABS female pins (a) and pounces (b). Bottom panel: number of F1ABS male pins (a) and pounces (b).
Baseline pain responses are unaltered in F1 offspring of morphine-abstinent sires
To characterize baseline pain sensitivity in offspring of morphine abstinent sires, behavioural pain responses to five mechanical stimuli were recorded: cotton swab, Von Frey filament at 100 g force (VF100), Von Frey filament at 300 g force (VF300), light pinprick, and heavy pinprick. Height and speed of hind paw withdrawal were scored alongside additional species-typical nocifensive behaviours (eye grimace, paw guarding, paw shaking, jumping, and guarding). The resulting raw data were normalized to z-scores, which were then combined into a one-dimensional score using principal components analysis (PCA), as described previously [29, 39]. This transformation produces a PCA-generated pain score that incorporates multiple behavioural dimensions of pain and sets a threshold separating innocuous (‘touch domain’, pain score of <0) from noxious stimuli (‘pain domain’, pain score of >0).
Two-way linear mixed models indicated a significant effect of stimulus (stim) but no effect of abstinent sire treatment (tx) in female (stim: F(4,56.1) = 12.49, P ≤ .0001; tx: F(1,7.9) = 1.66, P = .234; tx × stim interaction: F(4,56.1) = 1.57, P = .195; Fig. 4a) or male (stim: F(4,61.5) = 10.70, P ≤ .0001; tx: F(1,17) = 0.86, P = .368; tx × stim interaction: F(4,61.5) = 0.58, P = .676; Fig. 4b) F1ABS animals. In line with our previous use of the PCA-transformed pain score [29, 39], pain responses to cotton swab stimulation registered in the ‘touch-like’ domain (<0) and differed significantly in Dunnett-corrected post hoc comparisons from pain scores obtained following VF100, VF300, light pinprick, and heavy pinprick stimulation in both males and females (all comparisons significant at corrected P < .001).
Figure 4.

PCA baseline pain scores representing multidimensional behavioural response to five stimuli in F1ABS females (a) and males (b). * = statistically significant at P < .05.
Acute morphine analgesia is not impacted in F1 offspring of morphine-abstinent sires
We previously found increased morphine-induced antinociception in male offspring of morphine-exposed sires [29]. To test whether transmission of this phenotype persisted when sires were abstinent from morphine, we measured pain responses to three stimuli (cotton swab, light pinprick, and heavy pinprick) following administration of 1 mg/kg morphine, in F1 offspring of morphine-abstinent sires. Baseline behavioural response to the assigned stimulus was recorded just prior to morphine injection and again 15 and 60 min after the injection timepoint. A three-way mixed model in F1ABS females revealed no significant main effects of timepoint (F(2,111.9) = 0.12, P = .882; Fig. 5a) or abstinent sire treatment (F(1,8.3) = 0.06, P = .815), nor any significant interactions with sire treatment (all P > .10) on PCA pain scores. However, a significant main effect of stimulus (F(2,112.4) = 78.97, P ≤ .0001) and a significant interaction between stimulus and timepoint (F(4,111.8) = 3.07, P = .019) were noted. Holm post hoc comparisons revealed a significant difference between pain scores elicited by cotton swab vs. light pinprick and heavy pinprick stimulation (all P < .0001) in F1ABS females, although pain scores for light and heavy pinprick did not differ from one another (P = .185).
Figure 5.

F1ABS female (a) and male (b) PCA pain scores in response to cotton swab (left), light pinprick (middle), and heavy pinprick (right) stimuli at three timepoints (pre-injection baseline, 15 min post morphine injection at 1 mg/kg, and 60 min post morphine injection at 1 mg/kg).
In F1ABS males, no significant main effects of timepoint or abstinent sire treatment were found, nor were any interactions with timepoint or sire treatment noted (all P > .10). A significant main effect of stimulus (F(2,116.5) = 88.80, P ≤ .0001, Fig. 5b) was revealed, and Holm post hoc comparisons revealed a significant difference between pain scores in response to cotton swab vs. light pinprick and heavy pinprick stimulation (all P < .0001). Furthermore, pain scores differed significantly between light pinprick and heavy pinprick stimulation (P = .015) in F1ABS males. Importantly, these results contrast our previous findings in male F1 offspring of nonabstinent morphine-exposed fathers, which exhibited enhanced morphine analgesia [29].
Differential expression of sperm ncRNAs is exclusive to sperm extracted from nonabstinent F0 males
smRNA sequencing was performed to explore the smRNA signatures of morphine exposure and prolonged abstinence. F0SAL vs. F0ABS-SAL and F0MOR vs. F0ABS-MOR (control ‘timepoint comparisons’) were first assessed to explore potential differences between collection timepoints (at the end of intravenous self-administration vs. 90 days after intravenous self-administration, a difference of age as well as proximity to behavioural testing). The top differentially expressed miRNA in both timepoint comparisons was miR-547-3p, which had increased in expression at the abstinent timepoint. On the other hand, miR-547-3p was not differentially expressed between sperm of morphine- and saline-exposed males in either the abstinent or nonabstinent treatment group comparisons. Three additional miRNAs (miR-126a-3p, miR-200a-5p, and miR-27a-3p) overlapped with the same direction of fold change between the top 10 differentially expressed miRNAs of the two timepoint comparisons, suggesting a common effect of timepoint on sperm miRNA expression (full differentially expressed transcript lists are available at https://doi.org/10.5281/zenodo.14867043). Interestingly, however, a similar pattern was not observed in the Ensembl ncRNA comparisons.
Next, we tested the effect of treatment on smRNA content in sperm collected immediately after the conclusion of intravenous self-administration or after a prolonged abstinence period. Between morphine and saline F0 males (F0MOR vs. F0SAL), one mature miRNA and one ncRNA transcript were found to be differentially expressed in sperm: respectively, rno-miR-150-5p (Fig. 6a) and a small nucleolar RNA (snoRNA) sequence annotated genomically to an intronic region of the gene Noc3l (‘Nucleolar Complex Associated 3 Homolog’), as well as to an snoRNA sequence within the Snora42/80 family (Fig. 6b) (see https://doi.org/10.5281/zenodo.14867043 for transcript sequences).
Figure 6.

Expression of rno-miR-150-5p (a) and Snora42/Noc3l-annotated snoRNA (b) in sperm collected from nonabstinent saline- or morphine-exposed males (F0SAL and F0MOR) and males that were 90 days abstinent from saline or morphine (F0ABS-SAL and F0ABS-MOR).
In contrast, no miRNA or other ncRNA transcripts were found to be differentially expressed between sperm of morphine- and saline-abstinent F0 males (F0ABS-MOR vs. F0ABS-SAL). Notably, both rno-miR-150-5p and the Snora42/Noc3l-annotated snoRNA were differentially expressed between F0MOR and F0ABS-MOR but not between F0SAL and F0ABS-SAL (timepoint comparisons), as would be expected if differential expression of these sperm transcripts is specific to the nonabstinence breeding timepoint. Combined with our behavioural data demonstrating that intergenerational phenotypes appearing in F1 offspring bred from nonabstinent males appeared to normalize in F1ABS offspring, this suggests that rno-miR-150-5p and Snora42/Noc3l snoRNA are possible candidates for sperm signatures underlying transmission of phenotype from exposed father to offspring. miR-150-5p expression, as measured by qPCR, appeared to replicate the group differences with similar magnitude and statistical significance as sequencing (F0MOR vs. F0SAL P = .07; F0ABS-MOR vs. F0ABS-SAL P = .42, Supplementary Data S4).
The DIANA-microT-CDS algorithm identified 263 predicted targets of rno-miR-150-5p that met the input criteria. Because these did not include any experimentally validated predictions, we chose to focus only on the top two predicted mRNA transcripts with the highest interaction scores (Vcsa2 and Ppp2r1a), which are reviewed briefly in the Discussion. The full microT-CDS output is available at https://doi.org/10.5281/zenodo.14013319.
Discussion
Our previous studies demonstrated that paternal morphine exposure led to increased sensitivity to morphine reinforcement and morphine-derived antinociception in adulthood but reduced social play behaviour in adolescence in male offspring [29, 30, 39]. Here, we examined the impact of paternal abstinence following chronic morphine exposure on transmission of intergenerational factors from the F0 to the F1 generation. We found that these intergenerational phenotypes dissipated if F0 sires underwent extended abstinence from morphine prior to mating with drug-naïve females. Apparent disruption in expression of two sperm ncRNAs by morphine was no longer observed in sperm of morphine-abstinent males. In combination, these findings suggest that paternal abstinence surrounding the time of conception may protect progeny from inheriting germline factors that may increase susceptibility to addiction-related behaviours. Overall, these data begin to delineate the temporal boundaries of intergenerational transmission within the lifespan of a living organism, in addition to identifying paternal germline RNAs whose presence coincides with the manifestation of intergenerational phenotypes in offspring.
smRNA sequencing in F0 sperm
To identify molecules correlated with transmission of morphine-induced intergenerational phenotypes, we compared smRNA content of sperm collected from nonabstinent and abstinent morphine- or saline-exposed adult males. In sperm of nonabstinent morphine-exposed males, two transcripts were found to be differentially abundant between saline- and morphine-self-administering animals: rno-miR-150-5p and an Snora42/Noc3l-annotated ncRNA. In contrast, no change in sperm smRNA expression was found in the morphine-abstinent group.
To identify molecules correlated with transmission of morphine-induced intergenerational phenotypes, we compared smRNA content of sperm collected from nonabstinent vs. abstinent morphine- or saline-exposed adult males. In sperm of nonabstinent males only, two transcripts were found to be differentially abundant between saline- and morphine-self-administering animals: rno-miR-150-5p and an Snora42/Noc3l-annotated ncRNA. In contrast, no smRNAs were differentially expressed in sperm of abstinent males.
The ‘SNORA’ family of snoRNAs, which includes Snora42, canonically guides pseudouridylation of RNAs, a post-transcriptional modification that impacts RNA-mediated cellular processes [69]. snoRNAs and Noc3l localize to the nucleolus, snoRNA abundance in the sperm cell varies over stages of spermatogenesis [70], although it is unclear if and how they may be involved in intergenerational inheritance. Henceforth, we direct our discussion to miR-150-5p and its predicted targets, as limited literature exists on this snoRNA outside the realm of oncology research. miR-150-5p is a mature miRNA transcribed from the Mir150 gene, located on rat chromosome 1. In a rat model of spinal nerve ligation, spinal miR-150-5p was downregulated in rats experiencing mechanical allodynia, and exogenous administration of miR-150-5p lessened this allodynia [71]. Decreased miR-150-5p expression and miR-150-5p knockdown in hippocampus were further associated with increased blood corticosterone and anxiety in mice [72]. Otherwise, this miRNA has not been studied extensively in the context of behaviour and reproduction—most prominently, its expression and functioning have been linked with cancer processes and autoimmune conditions [73–75].
The rat miR-150-5p (rno-miR-150-5p) is further understudied compared to its mouse and human orthologs, which have been associated with several experimentally validated mRNA targets. In contrast, miRNA target databases currently list no experimentally validated mRNA targets of rno-miR-150-5p (likely attributable to the generally scant characterization of the rat genome vs. mouse and human). Fortunately, potential downstream mRNA targets of a given miRNA can be identified using target prediction algorithms, which use conserved seed sequences to predict miRNA–mRNA binding. We used the DIANA-microT-CDS algorithm, which predicts miRNA binding sites in both the 3′-UTR and the CDS, to identify high-confidence predicted targets of rno-miR-150-5p [76]. The top two highest-confidence predicted mRNA targets of rno-miR-150-5p were Vcsa2 and Ppp2r1a. Notably, Ppp2r1a, targeted by both the human and mouse miR-150-5p orthologs, and Smr3a, a gene with high similarity to Vcsa2, are predicted targets of mouse mmu-miR-150-5p.
Vcsa2 encodes a salivary protein (Smr1-alpha2), which currently has no annotated ortholog in humans or mice, although its sequence is highly similar to other members of the SMR/opiorphin gene cluster that is conserved among rats, mice, and humans [77, 78]. Within this gene family resides Oprpn, a relatively understudied salivary opiorphin. The peptide product of Oprpn inhibits enkephalin catabolism, and it is thought to act as a peripheral analgesic through this mechanism [79, 80]. Like Oprpn, Vcsa2 is predicted to be involved in regulation of pain (GO term 0051930 [81, 82]). SMR/opiorphin gene and protein expression is not limited to saliva; indeed, opiorphin is detected in the human bloodstream [83]. Interestingly, Vcsa2 demonstrates peak expression in the rat testes (Rat BodyMap database, accessed via EMBL-EBI Expression Atlas [84, 85]). Furthermore, SMR/opiorphin gene expression is highly sexually dimorphic and appears to be responsive to endocrine processes underlying stress and reproduction [86, 87]. Thus, Vcsa2 is a compelling candidate for downstream targets mediating rno-miR-150-5p’s possible regulation of morphine analgesia in offspring of morphine-exposed males.
Ppp2r1a encodes a protein phosphatase 2 subunit, an enzyme that has widespread involvement in multiple biological processes. Dysregulation of Ppp2r1a is associated with neurodevelopmental and neurodegenerative disorders [88, 89], and it appears to play an important role alongside the alternate structural subunit of protein phosphatase 2, Ppp2r1b, in regulation of sperm physiology [90–92]. Thus, both Ppp2r1a and Vcsa2 (expressed in rat testes) may prove informative targets for future characterization of gonadal mechanisms involved in intergenerational transmission. Of course, the involvement of miR-150-5p and Vcsa2 in pain processes is an interesting parallel to our behavioural data. A significant consideration is that the modulation of pain by morphine “specifically” was impacted in F1MOR animals; thus, any regulation of pain processing via miR-150-5p and downstream targets may only occur in the context of exogenous opioid use.
Finally, rno-miR-547-3p emerged as a potential correlate of timepoint, showing increased sperm expression at 90 days post behavioural testing in both treatment groups. Future studies may aim to investigate this transcript’s possible regulation of aging/time or stress associated with recent behavioural testing.
Limitations
Some limitations to our methodology should be noted. First, sample size limitations prohibited more direct analysis of interaction effects in smRNA sequencing. Second, this design allowed only for correlation of F0 sperm RNA with F1 behavioural data. Additional work will be required to identify and validate causal factors, as well as their roles in this process. Importantly, the full mechanistic pathways underlying intergenerational inheritance in rodent models—that is, the precise series of events from F0 germline to F1 phenotypes—are still being delineated. Here, we found increased expression of miR-150-5p and an Snora42/Noc3l-annotated snoRNA that was specific to the sperm of nonabstinent, morphine-exposed males. miRNAs and other ncRNAs can directly modulate vast downstream expression networks through target silencing [93], although other functions, including complex roles in intergenerational inheritance, have been suggested [43, 94, 95]. For example, sperm ncRNAs could function as first-line environmental ‘sensors’ that proceed to direct translation of exposure signal into more stable epigenetic marks, such as DNA methylation or histone modifications [43, 51, 57, 96]. ncRNAs have diverse origins, and they may be incorporated into the germ cell at several stages of spermatogenesis [44, 97]. This complexity is further embedded within the landscape of hormonal and neurological interactions within the whole organism [97, 98]. Thus, future work should aim to contextualize our findings within a broader mechanistic network.
Our findings should be interpreted with understanding of the limitations associated with this work. Especially as awareness of epigenetic inheritance increases among the general public, it is crucial to emphasize that much more heterogeneity in phenotypic outcomes (and in their effect size) is expected among human populations vs. controlled animal models, given that this phenomenon is driven by environmental factors. Misinformation and harmful rhetoric surrounding epigenetic inheritance have already emerged in popular media, so it is important that we clarify relevance to the everyday person at the time of this publication [99–101]. Our work demonstrates that paternal opioid exposure around the time of conception may increase some addiction-correlated phenotypes among Sprague–Dawley male rats. This does “not” imply that children of human opioid users are fated to addiction. Epigenetically inherited phenotypes should be understood as one among many interacting socioeconomic, biological, and environmental factors that sum to determine whether a given individual crosses the threshold into addictive disorder. As this field develops, we may gain greater understanding of what environmental/genomic variables modulate intergenerational transmission.
Conclusions
This study explored the temporal dynamics of father/sire-offspring germline transmission in a paternal morphine self-administration paradigm. We found that morphine-taking, adolescent social play, and morphine analgesia phenotypes that were disrupted in F1 offspring of morphine-exposed males were no longer evident in F1 rats bred from sires that were 90 days abstinent from morphine. We further leveraged this design to compare smRNA expression in sperm of males that were nonabstinent vs. 90 days abstinent from morphine, revealing two transcripts with disrupted expression exclusive to nonabstinent male sperm. These findings link morphine-sensitive F0 germline factors to the manifestation of intergenerational phenotypes in F1 offspring, contributing valuable mechanistic insights to the fields of addiction and epigenetic inheritance.
Supplementary Material
Acknowledgements
We thank Brandy Martin, Citlalli Tomas Baltazar, Mariyah Jiwanji, NeAva Zayas, Katherine Jung Yeon Lee, Ben Lichtin, Makeda Paderewski, and Chethan Reddy for technical assistance. We further wish to acknowledge the invaluable contribution of animal facility veterinarians and staff. Finally, we gratefully acknowledge the lives of the rats that were sacrificed for the purpose of this research.
Contributor Information
Dana Zeid, Department of Psychology & Neuroscience, College of Liberal Arts, Temple University, Philadelphia, PA 19122, United States.
Andre B Toussaint, Zuckerman Mind, Brain, and Behavior Institute, Columbia University, New York, NY 10027, United States.
Carmen Dressler, Department of Psychology & Neuroscience, College of Liberal Arts, Temple University, Philadelphia, PA 19122, United States.
Angela Harbeck, Department of Psychology & Neuroscience, College of Liberal Arts, Temple University, Philadelphia, PA 19122, United States.
Reza Karbalaei, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, Baltimore 21205, United States.
Yandrés Cintrón, Department of Psychology & Neuroscience, College of Liberal Arts, Temple University, Philadelphia, PA 19122, United States.
Andrew Pan, Department of Psychology & Neuroscience, College of Liberal Arts, Temple University, Philadelphia, PA 19122, United States.
Mathieu Wimmer, Department of Psychology & Neuroscience, College of Liberal Arts, Temple University, Philadelphia, PA 19122, United States.
Supplementary data
Supplementary data is available at EnvEpig online.
Conflict of interest:
None declared.
Funding
This work was supported by the National Institutes on Drug Abuse T32 Training Grant (DA007237) and National Institutes of Health and National Institutes on Drug Abuse grants (DP1 DA046537, K01 DA039308, M.W).
Data availability
Raw sequencing data files are uploaded to the Gene Expression Omnibus (accession no. GSE274906). Additional supplementary data are uploaded to the Zenodo repository at https://doi.org/10.5281/zenodo.14867043.
References
- 1. Brynildsen JK, Sanchez V, Yohn NL et al. Sex-specific transgenerational effects of morphine exposure on reward and affective behaviors. Behav Brain Res 2020;395:112842. doi: 10.1016/j.bbr.2020.112842 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Carone BR, Fauquier L, Habib N et al. Paternally induced transgenerational environmental reprogramming of metabolic gene expression in mammals. Cell 2010;143:1084–96. doi: 10.1016/j.cell.2010.12.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Cicero TJ, Adams ML, Giordano A et al. Influence of morphine exposure during adolescence on the sexual maturation of male rats and the development of their offspring. J Pharmacol Exp Ther 1991;256:1086–93. doi: 10.1016/S0022-3565(25)23128-7 [DOI] [PubMed] [Google Scholar]
- 4. Dunn GA, Bale TL. Maternal high-fat diet effects on third-generation female body size via the paternal lineage. Endocrinology 2011;152:2228–36. doi: 10.1210/en.2010-1461 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Ellis AS, Toussaint AB, Knouse MC et al. Paternal morphine self-administration produces object recognition memory deficits in female, but not male offspring. Psychopharmacology 2020;237:1209–21. doi: 10.1007/s00213-019-05450-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Fullston T, Teague EMCO, Palmer NO et al. Paternal obesity initiates metabolic disturbances in two generations of mice with incomplete penetrance to the F2 generation and alters the transcriptional profile of testis and sperm microRNA content. FASEB J 2013;27:4226–43. doi: 10.1096/fj.12-224048 [DOI] [PubMed] [Google Scholar]
- 7. Gillette R, Son MJ, Ton L et al. Passing experiences on to future generations: endocrine disruptors and transgenerational inheritance of epimutations in brain and sperm. Epigenetics 2018;13:1106–26. doi: 10.1080/15592294.2018.1543506 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Ibn Lahmar Andaloussi Z, Taghzouti K, Abboussi O. Behavioural and epigenetic effects of paternal exposure to cannabinoids during adolescence on offspring vulnerability to stress. Int J Dev Neurosci 2019;72:48–54. doi: 10.1016/j.ijdevneu.2018.11.007 [DOI] [PubMed] [Google Scholar]
- 9. Le Q, Yan B, Yu X et al. Drug-seeking motivation level in male rats determines offspring susceptibility or resistance to cocaine-seeking behaviour. Nat Commun 2017;8:15527. doi: 10.1038/ncomms15527 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. McCarthy DM, Morgan TJ, Lowe SE et al. Nicotine exposure of male mice produces behavioral impairment in multiple generations of descendants. PLoS Biol 2018;16:e2006497. doi: 10.1371/journal.pbio.2006497 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Morgan CP, Bale TL. Early prenatal stress epigenetically programs dysmasculinization in second-generation offspring via the paternal lineage. J Neurosci 2011;31:11748–55. doi: 10.1523/JNEUROSCI.1887-11.2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Rodgers AB, Morgan CP, Bronson SL et al. Paternal stress exposure alters sperm microRNA content and reprograms offspring HPA stress axis regulation. J Neurosci 2013;33:9003–12. doi: 10.1523/JNEUROSCI.0914-13.2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Sadat-Shirazi MS, Karimi F, Kaka G et al. Parental morphine exposure enhances morphine (but not methamphetamine) preference and increases monoamine oxidase-B level in the nucleus accumbens. Behav Pharmacol 2019;30:435–45. doi: 10.1097/FBP.0000000000000465 [DOI] [PubMed] [Google Scholar]
- 14. Vallaster MP et al. Paternal nicotine exposure alters hepatic xenobiotic metabolism in offspring. eLife 2017;6:e24771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Vassoler FM, White SL, Schmidt HD et al. Epigenetic inheritance of a cocaine-resistance phenotype. Nat Neurosci 2013;16:42–47. doi: 10.1038/nn.3280 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Vassoler FM, Oliver DJ, Wyse C et al. Transgenerational attenuation of opioid self-administration as a consequence of adolescent morphine exposure. Neuropharmacology 2017;113:271–80. doi: 10.1016/j.neuropharm.2016.10.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Vassoler FM, Johnson-Collins NL, Carini LM et al. Next generation effects of female adolescent morphine exposure: sex-specific alterations in response to acute morphine emerge before puberty. Behav Pharmacol 2014;25:173–81. doi: 10.1097/FBP.0000000000000032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Watkins AJ, Dias I, Tsuro H et al. Paternal diet programs offspring health through sperm-and seminal plasma-specific pathways in mice. Proc Nat Acad Sci 2018;115:10064–69. doi: 10.1073/pnas.1806333115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Wimmer ME, Briand LA, Fant B et al. Paternal cocaine taking elicits epigenetic remodeling and memory deficits in male progeny. Mol Psychiatry 2017;22:1641–50. doi: 10.1038/mp.2017.8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Yaw AM, Woodruff RW, Prosser RA et al. Paternal cocaine disrupts offspring circadian clock function in a sex-dependent manner in mice. Neuroscience 2018;379:257–68. doi: 10.1016/j.neuroscience.2018.03.012 [DOI] [PubMed] [Google Scholar]
- 21. Zhou Y, Zhu H, Wu H-Y et al. Diet‐induced paternal obesity impairs cognitive function in offspring by mediating epigenetic modifications in spermatozoa. Obesity 2018;26:1749–57. doi: 10.1002/oby.22322 [DOI] [PubMed] [Google Scholar]
- 22. Azadi M, Azizi H, Haghparast A. Paternal exposure to morphine during adolescence induces reward-resistant phenotype to morphine in male offspring. Brain Res Bull 2019;147:124–32. doi: 10.1016/j.brainresbull.2019.02.004 [DOI] [PubMed] [Google Scholar]
- 23. Finegersh A, Homanics GE, Burne THJ. Paternal alcohol exposure reduces alcohol drinking and increases behavioral sensitivity to alcohol selectively in male offspring. PLoS One 2014;9:e99078. doi: 10.1371/journal.pone.0099078 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Fischer DK, Rice RC, Martinez Rivera A et al. Altered reward sensitivity in female offspring of cocaine-exposed fathers. Behav Brain Res 2017;332:23–31. doi: 10.1016/j.bbr.2017.05.054 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Goldberg LR, Zeid D, Kutlu MG et al. Paternal nicotine enhances fear memory, reduces nicotine administration, and alters hippocampal genetic and neural function in offspring. Addict Biol 2021;26:e12859. doi: 10.1111/adb.12859 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Huang N, Cui J, Fan G et al. Transcriptomic effects of paternal cocaine-seeking on the reward circuitry of male offspring. Transl Psychiatry 2024;14:120. doi: 10.1038/s41398-024-02839-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Pooriamehr A, Sabahi P, Miladi-Gorji H. Effects of environmental enrichment during abstinence in morphine dependent parents on anxiety, depressive-like behaviors and voluntary morphine consumption in rat offspring. Neurosci Lett 2017;656:37–42. doi: 10.1016/j.neulet.2017.07.024 [DOI] [PubMed] [Google Scholar]
- 28. Swinford-Jackson SE, Fant B, Wimmer ME et al. Cocaine-induced changes in sperm Cdkn1a methylation are associated with cocaine resistance in male offspring. J Neurosci 2022;42:2905–16. doi: 10.1523/JNEUROSCI.3172-20.2022 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Toussaint AB, Foster W, Jones JM et al. Chronic paternal morphine exposure increases sensitivity to morphine-derived pain relief in male progeny. Sci Adv 2022;8:2425. doi: 10.1126/sciadv.abk2425 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Toussaint AB, Ellis AS, Bongiovanni AR et al. Paternal morphine exposure enhances morphine self-administration and induces region-specific neural adaptations in reward-related brain regions of male offspring. 2023.
- 31. Vassoler FM, Toorie AM, Teceno DN et al. Paternal morphine exposure induces bidirectional effects on cocaine versus opioid self-administration. Neuropharmacology 2020;162:107852. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Zeid D, Goldberg LR, Seemiller LR et al. Multigenerational nicotine exposure affects offspring nicotine metabolism, nicotine-induced hypothermia, and basal corticosterone in a sex-dependent manner. Neurotoxicol Teratol 2021;85:106972. doi: 10.1016/j.ntt.2021.106972 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Zeid D, Gould TJ. Chronic nicotine exposure alters sperm small RNA content in C57BL/6J mouse model. Dev Psychobiol 2023;65:e22367. doi: 10.1002/dev.22367 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Hedges JC, Hanna CB, Shorey-Kendrick LE et al. Cessation of chronic delta-9-tetrahydrocannabinol use partially reverses impacts on male fertility and the sperm epigenome in rhesus macaques. Fertil Steril 2023;120:163–74. doi: 10.1016/j.fertnstert.2023.02.034 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Schrott R, Modliszewski JL, Hawkey AB et al. Sperm DNA methylation alterations from cannabis extract exposure are evident in offspring. Epigene Chromat 2022;15:1–15. doi: 10.1186/s13072-022-00466-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Valdes Y, Giraldo V, Eisermann J et al. Partial reversal of chronic delta-9-tetrahydrocannabinol-induced effects on male fertility and sperm epigenome after cessation. Fertil Steril 2023;120:175. doi: 10.1016/j.fertnstert.2023.04.034 [DOI] [PubMed] [Google Scholar]
- 37. Schrott R, Murphy SK, Modliszewski JL et al. Refraining from use diminishes cannabis-associated epigenetic changes in human sperm. Environ Epigenet 2021;7:009. doi: 10.1093/eep/dvab009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Schrott R, Greeson KW, King D et al. Cannabis alters DNA methylation at maternally imprinted and autism candidate genes in spermatogenic cells. Syst Biol Reprod Med 2022;68:357–69. doi: 10.1080/19396368.2022.2073292 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Zeid D, Toussaint AB, Dressler CC et al. Paternal morphine exposure in rats reduces social play in adolescent male progeny without affecting drug-taking behavior in juvenile males or female offspring. Mol Cell Neurosci 2023;126:103877. doi: 10.1016/j.mcn.2023.103877 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Ben Maamar M, Wang Y, Nilsson EE et al. Transgenerational sperm DMRs escape DNA methylation erasure during embryonic development and epigenetic inheritance. Environ Epigenet 2023;9:dvad003. doi: 10.1093/eep/dvad003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Champroux A, Tang Y, Dickson DA et al. Transmission of reduced levels of miR-34/449 from sperm to preimplantation embryos is a key step in the transgenerational epigenetic inheritance of the effects of paternal chronic social instability stress. Epigenetics 2024;19:2346694. doi: 10.1080/15592294.2024.2346694 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Chen Z, Yin Q, Inoue A et al. Allelic H3K27me3 to allelic DNA methylation switch maintains noncanonical imprinting in extraembryonic cells. Sci Adv 2019;5:eaay7246. doi: 10.1126/sciadv.aay7246 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Cheuquemán C, Maldonado R. Non-coding RNAs and chromatin: key epigenetic factors from spermatogenesis to transgenerational inheritance. Biol Res 2021;54:41. doi: 10.1186/s40659-021-00364-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Conine CC, Sun F, Song L et al. Small RNAs gained during epididymal transit of sperm are essential for embryonic development in mice. Dev Cell 2018;46:470–480.e3. doi: 10.1016/j.devcel.2018.06.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Guo L, Chao S-B, Xiao L et al. Sperm-carried RNAs play critical roles in mouse embryonic development. Oncotarget 2017;8:67394. doi: 10.18632/oncotarget.18672 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Morgan CP, Chan JC, Bale TL. Driving the next generation: paternal lifetime experiences transmitted via extracellular vesicles and their small RNA cargo. Biol Psychiatry 2019;85:164–71. doi: 10.1016/j.biopsych.2018.09.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Ostermeier GC, Miller D, Huntriss JD et al. Reproductive biology: delivering spermatozoan RNA to the oocyte. Nature 2004;429:154. doi: 10.1038/429154a [DOI] [PubMed] [Google Scholar]
- 48. Sendler E, Johnson GD, Mao S et al. Stability, delivery and functions of human sperm RNAs at fertilization. Nucleic Acids Res 2013;41:4104–17. doi: 10.1093/nar/gkt132 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Yuan S, Schuster A, Tang C et al. Sperm-borne miRNAs and endo-siRNAs are important for fertilization and preimplantation embryonic development. Development 2016;143:635–47. doi: 10.1242/dev.131755 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Chen Q, Yan W, Duan E. Epigenetic inheritance of acquired traits through sperm RNAs and sperm RNA modifications. Nat Rev Genet 2016;17:733–43. doi: 10.1038/nrg.2016.106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Lismer A, Kimmins S. Emerging evidence that the mammalian sperm epigenome serves as a template for embryo development. Nat Commun 2023;14:2142. doi: 10.1038/s41467-023-37820-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Chan JC, Morgan CP, Adrian Leu N et al. Reproductive tract extracellular vesicles are sufficient to transmit intergenerational stress and program neurodevelopment. Nat Commun 2020;11:1499. doi: 10.1038/s41467-020-15305-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Chen Q, Yan M, Cao Z et al. Sperm tsRNAs contribute to intergenerational inheritance of an acquired metabolic disorder. Science 2016;351:397–400. doi: 10.1126/science.aad7977 [DOI] [PubMed] [Google Scholar]
- 54. Gapp K, Jawaid A, Sarkies P et al. Implication of sperm RNAs in transgenerational inheritance of the effects of early trauma in mice. Nat Neurosci 2014;17:667–69. doi: 10.1038/nn.3695 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Rodgers AB, Morgan CP, Leu NA et al. Transgenerational epigenetic programming via sperm microRNA recapitulates effects of paternal stress. Proc Nat Acad Sci 2015;112:13699–704. doi: 10.1073/pnas.1508347112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Sharma U, Sun F, Conine CC et al. Small RNAs are trafficked from the epididymis to developing mammalian sperm. Dev Cell 2018;46:481–494.e6. doi: 10.1016/j.devcel.2018.06.023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Zhang Y, Zhang X, Shi J et al. Dnmt2 mediates intergenerational transmission of paternally acquired metabolic disorders through sperm small non-coding RNAs. Nat Cell Biol 2018;20:535–40. doi: 10.1038/s41556-018-0087-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Gapp K, van Steenwyk G, Germain PL et al. Alterations in sperm long RNA contribute to the epigenetic inheritance of the effects of postnatal trauma. Mol Psychiatry 2020;25:2162–74. doi: 10.1038/s41380-018-0271-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Grandjean V, Fourré S, De Abreu DAF et al. RNA-mediated paternal heredity of diet-induced obesity and metabolic disorders. Sci Rep 2015;5:18193. doi: 10.1038/srep18193 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Clermont Y, Harvey SC. Duration of the cycle of the seminiferous epithelium of normal, hypophysectomized and hypophysectomized-hormone treated albino rats. Endocrinology 1965;76:80–89. doi: 10.1210/endo-76-1-80 [DOI] [PubMed] [Google Scholar]
- 61. Clouthier DE, Avarbock MR, Maika SD et al. Rat spermatogenesis in mouse testis. Nature 1996;381:418–21. doi: 10.1038/381418a0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62. Andrews S. FastQC: A Quality Control Tool for High Throughput Sequence Data. 2010.
- 63. Kozomara A, Birgaoanu M, Griffiths-Jones S. miRBase: from microRNA sequences to function. Nucleic Acids Res 2019;47:155–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Aparicio-Puerta E, Gómez-Martín C, Giannoukakos S et al. sRNAbench and sRNAtoolbox 2022 update: accurate miRNA and sncRNA profiling for model and non-model organisms. Nucleic Acids Res 2022;50:W710–7. doi: 10.1093/nar/gkac363 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol 2014;15:550. doi: 10.1186/s13059-014-0550-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Zhang Y, Zeng C-J, He L et al. Selection of endogenous reference microRNA genes for quantitative reverse transcription polymerase chain reaction studies of boar spermatozoa cryopreservation. Theriogenology 2015;83:634–41. doi: 10.1016/j.theriogenology.2014.10.027 [DOI] [PubMed] [Google Scholar]
- 67. Levitis DL, Si J, Ravishankar K et al. Identification of stable reference miRNAs for miRNA expression analysis in adult neurogenesis across mouse and human tissues. Cells 2024;13:2060. doi: 10.3390/cells13242060 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Gallucci M. GAMLj: General Analyses for Linear Models. 2019.
- 69. Weinstein LB, Steitz JA. Guided tours: from precursor snoRNA to functional snoRNP. Cur Opin Cell Biol 1999;11:378–84. doi: 10.1016/S0955-0674(99)80053-2 [DOI] [PubMed] [Google Scholar]
- 70. Chu C, Zhang YL, Yu L et al. Epididymal small non-coding RNA studies: progress over the past decade. Andrology 2019;7:681–89. doi: 10.1111/andr.12639 [DOI] [PubMed] [Google Scholar]
- 71. Li S, Huang C, Tu C et al. Bone marrow mesenchymal stem cell-derived exosomes shuttling miR-150-5p alleviates mechanical allodynia in rats by targeting NOTCH2 in microglia. Mol Med 2022;28:133. doi: 10.1186/s10020-022-00561-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Zhang WJ, Cao W-Y, Huang Y-Q et al. The role of miR-150 in stress-induced anxiety-like behavior in mice. Neurotox Res 2019;35:160–72. doi: 10.1007/s12640-018-9943-x [DOI] [PubMed] [Google Scholar]
- 73. Chen X, Xu X, Pan B et al. miR-150-5p suppresses tumor progression by targeting VEGFA in colorectal cancer. Aging (Albany NY) 2018;10:3421. doi: 10.18632/aging.101656 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Punga AR, Andersson M, Alimohammadi M et al. Disease specific signature of circulating miR-150-5p and miR-21-5p in myasthenia gravis patients. J Neurol Sci 2015;356:90–96. doi: 10.1016/j.jns.2015.06.019 [DOI] [PubMed] [Google Scholar]
- 75. Zhang Y, Wang F, Chen G et al. LncRNA MALAT1 promotes osteoarthritis by modulating miR-150-5p/AKT3 axis. Cell Biosci 2019;9:1–12. doi: 10.1186/s13578-019-0302-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76. Tastsoglou S, Alexiou A, Karagkouni D et al. DIANA-microT 2023: including predicted targets of virally encoded miRNAs. Nucleic Acids Res 2023;51:148–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Rougeot C, Rosinski-Chupin I, Rougeot F. Novel genes and hormones in salivary glands: from the gene for the submandibular rat 1 protein (SMR1) precursor to receptor sites for SMR1 mature peptides. Biomedl Rev 1998;9:17–32. doi: 10.14748/bmr.v9.133 [DOI] [Google Scholar]
- 78. Singer M, Courty Y, Rougeon F. Recent evolution of genes encoding the prohormone-like protein SMR1 in the rat submandibular gland. DNA Cell Biol 1995;14:137–44. doi: 10.1089/dna.1995.14.137 [DOI] [PubMed] [Google Scholar]
- 79. Gavcar EG, Kabukçu Başay B, Avci E et al. Relationship between saliva opiorphin levels, pain threshold, and cutting number in adolescents with non suicidal self injury. J Psychiatr Res 2022;151:611–18. doi: 10.1016/j.jpsychires.2022.05.030 [DOI] [PubMed] [Google Scholar]
- 80. Wisner A, Dufour E, Messaoudi M et al. Human Opiorphin, a natural antinociceptive modulator of opioid-dependent pathways. Proc Nat Acad Sci 2006;103:17979–84. doi: 10.1073/pnas.0605865103 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81. Ashburner M, Ball CA, Blake JA, et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet 2000;25:25–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82. Aleksander SA, Balhoff J, Carbon S et al. The Gene Ontology knowledgebase in 2023. Genetics 2023;224. doi: 10.1093/genetics/iyad031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Rougeot C. Opiorphin Secretion Pattern in Healthy Volunteers: Gender Difference and Organ Specificity. Biochem Anal Biochem 2013; 2. doi: 10.4172/2161-1009.1000136 [DOI] [Google Scholar]
- 84. Moreno P, Fexova S, George N et al. Expression Atlas update: gene and protein expression in multiple species. Nucleic Acids Res 2022;50:129–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85. Yu Y, Fuscoe JC, Zhao C et al. A rat RNA-Seq transcriptomic BodyMap across 11 organs and 4 developmental stages. Nat Commun 2014;5:1–11. doi: 10.1038/ncomms4230 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86. Rosinski-Chupin I, Huaulmé J-F, Rougeot C et al. The transcriptional response to androgens of the rat VCSA1 gene is amplified by both binary and graded mechanisms. Endocrinology 2001;142:4550–59. doi: 10.1210/endo.142.10.8428 [DOI] [PubMed] [Google Scholar]
- 87. Rougeot C, Rosinski-Chupin I, Mathison R et al. Rodent submandibular gland peptide hormones and other biologically active peptides. Peptides 2000;21:443–55. doi: 10.1016/S0196-9781(00)00158-3 [DOI] [PubMed] [Google Scholar]
- 88. Lenaerts L, Reynhout S, Verbinnen I et al. The broad phenotypic spectrum of PPP2R1A-related neurodevelopmental disorders correlates with the degree of biochemical dysfunction. Genet Med 2021;23:352–62. doi: 10.1038/s41436-020-00981-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89. Miron J, Picard C, Labonté A et al. Association of PPP2R1A with Alzheimer’s disease and specific cognitive domains. Neurobiol Aging 2019;81:234–43. doi: 10.1016/j.neurobiolaging.2019.06.008 [DOI] [PubMed] [Google Scholar]
- 90. Du M, Yuan L, Zhang Z et al. PPP2R1B is modulated by ubiquitination and is essential for spermatogenesis. FASEB J 2021;35:21564. doi: 10.1096/fj.202002810R [DOI] [PubMed] [Google Scholar]
- 91. Fardilha M, Ferreira M, Pelech S et al. “Omics” of human sperm: profiling protein phosphatases. OMICS 2013;17:460–72. doi: 10.1089/omi.2012.0119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92. Wang D et al. Down-regulation of miR-138-5p by PP2A Promoted Apoptosis of Spermatocytes. 2024. [DOI] [PubMed]
- 93. Ni WJ, Leng XM. Dynamic miRNA–mRNA paradigms: new faces of miRNAs. Biochem Biophys Rep 2015;4:337–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94. Beck D, Ben Maamar M, Skinner MK. Integration of sperm ncRNA-directed DNA methylation and DNA methylation-directed histone retention in epigenetic transgenerational inheritance. Epigenet Chromatin 2021;14:6. doi: 10.1186/s13072-020-00378-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95. Li LC. Chromatin remodeling by the small RNA machinery in mammalian cells. Epigenetics 2014;9:45–52. doi: 10.4161/epi.26830 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96. Ben Maamar M, Beck D, Nilsson E et al. Developmental origins of transgenerational sperm histone retention following ancestral exposures. Dev Biol 2020;465:31–45. doi: 10.1016/j.ydbio.2020.06.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97. Conine CC, Rando OJ. Soma-to-germline RNA communication. Nat Rev Genet 2022;23:73–88. doi: 10.1038/s41576-021-00412-1 [DOI] [PubMed] [Google Scholar]
- 98. Zeid D, Gould TJ. Impact of nicotine, alcohol, and cocaine exposure on germline integrity and epigenome. Neuropharmacology 2020;173:108127. doi: 10.1016/j.neuropharm.2020.108127 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99. Mc Ewen B. Construction of a review about epigenetics for biology teachers and other non-experts. Sci Edu 2022;31:997–1026. doi: 10.1007/s11191-021-00278-z [DOI] [Google Scholar]
- 100. Müller R, Hanson C, Hanson M et al. The biosocial genome? Interdisciplinary perspectives on environmental epigenetics, health and society. EMBO Rep 2017;18:1677–82. doi: 10.15252/embr.201744953 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101. Pang TY. Cross talk opposing view: the kids will be fine–a bit of parental stress won’t affect them: rodents are not good models for assessing transgenerational influences in humans. J Physiol 2022;600:4413–16. doi: 10.1113/JP282410 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Raw sequencing data files are uploaded to the Gene Expression Omnibus (accession no. GSE274906). Additional supplementary data are uploaded to the Zenodo repository at https://doi.org/10.5281/zenodo.14867043.
