Skip to main content
Environmental Epigenetics logoLink to Environmental Epigenetics
. 2019 Dec 14;5(4):dvz024. doi: 10.1093/eep/dvz024

Folic acid supplementation reduces multigenerational sperm miRNA perturbation induced by in utero environmental contaminant exposure

P M Herst 1, M Dalvai 1, M Lessard 1, P L Charest 1, P Navarro 2, C Joly-Beauparlant 3, A Droit 3, J M Trasler 4, S Kimmins 5,6, A J MacFarlane 7, M-O Benoit-Biancamano 8, J L Bailey 1,
Editor: Gerlinde Metz
PMCID: PMC6911352  PMID: 31853372

Abstract

Persistent organic pollutants (POPs) can induce epigenetic changes in the paternal germline. Here, we report that folic acid (FA) supplementation mitigates sperm miRNA profiles transgenerationally following in utero paternal exposure to POPs in a rat model. Pregnant founder dams were exposed to an environmentally relevant POPs mixture (or corn oil) ± FA supplementation and subsequent F1–F4 male descendants were not exposed to POPs and were fed the FA control diet. Sperm miRNA profiles of intergenerational (F1, F2) and transgenerational (F3, F4) lineages were investigated using miRNA deep sequencing. Across the F1–F4 generations, sperm miRNA profiles were less perturbed with POPs+FA compared to sperm from descendants of dams treated with POPs alone. POPs exposure consistently led to alteration of three sperm miRNAs across two generations, and similarly one sperm miRNA due to POPs+FA; which was in common with one POPs intergenerationally altered sperm miRNA. The sperm miRNAs that were affected by POPs alone are known to target genes involved in mammary gland and embryonic organ development in F1, sex differentiation and reproductive system development in F2 and cognition and brain development in F3. When the POPs treatment was combined with FA supplementation, however, these same miRNA-targeted gene pathways were perturbed to a lesser extend and only in F1 sperm. These findings suggest that FA partially mitigates the effect of POPs on paternally derived miRNA in a intergenerational manner.

Keywords: organochlorine, transgenerational epigenetic inheritance, microRNA, prenatal exposure, folate

Introduction

Environmental pollutants, including persistent organic pollutants (POPs), pose ongoing threats to global ecosystems [1]. POPs are synthetic organic compounds that resist environmental degradation and are distributed via long-distance atmospheric transport mechanisms to deposit in colder regions, notably the Arctic [2, 3]. International restrictions have decreased POPs over the past decade; however, because of climate change some POPs are released back into the environment [4]. Due to their lipophilic characteristics, POPs bio-accumulate in adipose tissues putting human and wildlife health at risk [1].

The male gamete has been shown to be susceptible to damage caused by environmental toxicants such as dichlorodiphenyltrichloroethane (DDT) [5]; furthermore, studies have shown that POPs exposure impairs sperm parameters [6–8], DNA integrity [9] and chromatin condensation [5]. With respect to the sperm epigenome, DNA methylation can be altered by POPs as was showed previously by a permutation analysis in rats; and flow cytometric immunodetection and PCR pyrosequencing in men [10, 11]. Furthermore, experience-dependent information may potentially be transmitted via sperm small non-coding RNA, such as microRNA (miRNA), from the father to offspring [12, 13].

Most studies focus on the effects of individual POPs; however, humans and wildlife are exposed to complex POPs mixtures. We hypothesized that in utero exposure to an environmentally relevant Arctic POPs mixture alters the sperm epigenome, specifically miRNA expression, across multiple, unexposed generations (F1 through F4).

In addition, we investigated whether a nutritional intervention, folic acid (FA), could counteract these multigenerational epigenetic changes. Folate functions as a methyl donor in the methyl cycle, which is vital during prenatal development when epigenetic reprogramming occurs; an embryo developing under an insufficient folate status may be vulnerable to methylation-dependent epigenetic errors [14, 15]. Therefore, we hypothesized that FA supplementation moderates the POPs-induced dysregulation of sperm miRNA expression in F1 through F4 generations. Using a four-generation rat model (Fig. 1), we analysed the paternal lineage of sperm (F1–F4) derived from treated F0 dams by miRNA deep sequencing (miRNA-seq).

Figure 1:

Figure 1:

experimental design. Four treatment groups of Sprague Dawley F0 founder females (n = 6) were gavaged with either an environmentally relevant POPs mixture (500 μg PCBs plus remaining POPs/kg body weight) or corn oil (control); in addition, the F0 females received diets ad libitum containing 2 mg/kg diet (1X) or 6 mg/kg diet (3X) FA representing the North American FA intake in the post-fortification era (1X) and with a daily 1 mg FA prenatal multivitamin (3X), respectively. Treatments were administered 5 weeks before reproduction (× untreated males) and until parturition. After birth of the F1, all F0 founder dams and subsequent generations received 1X ad libitum. F1 males were bred with untreated females to obtain F2 offspring. Likewise, F3 and F4 generation lineages were produced. During the establishment of each generation (Fig. 1), sperm were collected from 12 males per treatment group at PND 150. Since F0 dams were exposed, an intergenerational effect can be observed from F1 and a transgenerational effect starting from F3

Methods

POPs Mixture

The POPs mixture (Table 1) represents the pollutant composition found in Ringed seal blubber of Northern Quebec which is a traditional food of Inuit people in that region [16, 17]. Mixture components were dissolved in corn oil (Aldrich-Sigma, Oakville, ON, Canada) to obtain a stock solution of 5 mg polychlorinated biphenyls (PCBs)/ml corn oil including remaining POPs, that was kept in the dark at room temperature (Table 1). The experimental dose, which is considered environmentally relevant, was made by diluting the stock solution with corn oil to a concentration of 500 µg PCBs/kg body weight as previously described in [6]; concentrations of the other POPs can be calculated from proportions listed in Table 1.

Table 1:

composition of environmentally relevant POPs mixture [6]

Compound CAS no. Origina % Weight
Aroclor and congener neat mixb AccuStandard 32.40
Technical chlordane 57-74-9 AccuStandard 21.40
p,p′-Dichlorodiphenyldichloroethylene (DDE) 72-55-9 Sigma-Aldrich 19.30
p,p′-DDT 50-29-3 Sigma-Aldrich 6.80
Technical toxaphene 8001-35-2 AccuStandard 6.50
α-Hexachlorocyclohexane (HCH) 319-84-6 Sigma-Aldrich 6.20
Aldrin 309-00-2 Sigma-Aldrich 2.50
Dieldrin 60-57-1 Sigma-Aldrich 2.10
1,2,4,5-Tetrachlorobenzene 95-94-3 Sigma-Aldrich 0.90
p,p′-Dichlorodiphenyldichloroethane (DDD) 72-54-8 Sigma-Aldrich 0.50
β-Hexachlorocyclohexane (HCH) 319-85-7 Sigma-Aldrich 0.40
Hexachlorobenzene 118-74-1 AccuStandard 0.40
Mirex 2385-85-5 Sigma-Aldrich 0.20
γ-Hexachlorocyclohexane or lindane (γ-HCH) 58-89-9 Sigma-Aldrich 0.20
Pentachlorobenzene 608-93-5 Sigma-Aldrich 0.20

aAccuStandard, Inc. (New Haven, CT); Sigma-Aldrich, Inc. (St. Louis, MO).

bAroclor and congener neat mix contains 2,4,4′-trichlorobiphenyl (PCB 28, 1%), 2,2′,4,4′-tetrachlorobiphenyl (PCB 47, 0.80%), 3,3,4,4′-tetrachlorobiphenyl (PCB 77, 0.0044%), 3,3′,4,4′,5-pentachlorobiphenyl (PCB 126, 0.02%), Aroclor 1254 (39.30%) and Aroclor 1260 (58.90%).

Animal Studies and Breeding

Animal care and all treatment procedures were in accordance with the guidelines of the Canadian Council on Animal Care and approved by the Université Laval animal Research Ethics Committee (certificate No. 2015010-2). Forty-five-day-old female outbred Sprague Dawley rats (Charles Rivers Laboratories, Saint Constant, QC, Canada) were housed two per cage in standard rat cages under controlled lighting (12 h light-dark cycle), humidity (46 ± 10%) and temperature (22 ± 1°C). After 10 days of acclimatization, female rats (F0 founder dams) were randomly assigned to four treatment groups (n = 6) designated ‘Control (CTRL)’, ‘Persistent Organic Pollutants (POPs)’, ‘Folic Acid supplementation (FA)’ and ‘Persistent Organic Pollutants + Folic Acid supplementation (POPs+FA)’ (Fig. 1). F0 founder dams were gavaged with the POPs mixture corresponding to 500 µg PCBs/kg body weight [6]; or corn oil (CTRL) thrice weekly and were fed the AIN-93G diet [18] containing either 2 mg/kg (1X) or 6 mg/kg (3X) of FA (Nos 110700 and 117819 Dyets, Inc., Bethlehem, PA) ad libitum. Experimental diets represent the North American FA intake in the post-fortification era (1X) and in combination with a daily 1 mg FA prenatal multivitamin (3X) [19]. Treatments were only administered to F0 founder dams for 9 weeks in total; 5 weeks before mating to untreated males at postnatal day (PND 90) and until parturition. Subsequent lineages, F1 through F4, were neither exposed to POPs nor 3X FA—instead they received 1X FA diet ad libitum.

To maximize genetic diversity, F1 male offspring, descendent from different litters, were randomly selected (two per litter) to establish subsequent generations for each treatment lineage. At PND 90, F1 males (n = 12) from CTRL, POPs, FA and POPs+FA were bred with untreated females (PND 70) to obtain the F2 lineage. Likewise, F3 and F4 generation lineages were generated. At PND 150, F1–F4 males were anesthetized using 3% isoflurane and sacrificed by exsanguination via cardiac puncture followed by CO2 asphyxiation.

Sperm Isolation

Sperm were recovered from the caudal epididymides of F1–F4 Control, POPs, FA and POPs+FA male rats (n = 12) as follows: dissected caudal epididymides were placed into prewarmed Gibco®Medium-199 without phenol red (Life Technologies, Burlington, ON, Canada), nicked several times using a scalpel, and incubated at 37°C while gently agitating to allow sperm to diffuse from the epididymis. After 30 min, diffused sperm were centrifuged at 2500 ×g for 10 min at 4°C. Supernatant was removed, somatic cell contamination was avoided by washing the sperm pellet twice with hypotonic buffer (0.45% NaCl w/v) and centrifuged at 2500 ×g for 5 min at 4°C. Subsequently, the sperm pellet was washed twice with cold 1X phosphate-buffered saline (PBS) and centrifuged at 2500 ×g for 5 min at 4°C. After the second PBS wash, the pellet was resuspended in 500 µl Freezing Medium Test Yolk Buffer with gentamicin sulphate (Irvine Scientific, Edmonton, AB, Canada) and incubated for 10 min at room temperature. Last, collected sperm were stored at −80°C.

RNA Extraction

To minimize the impact of individual variation within treatment lineages, sperm were pooled from four males, with each descendant from different F0 founder dams, to provide a total of ∼20 × 106 sperm per pool; CTRL, POPs, FA, POPs+FA (n = 3 pools composed of four individuals per pool; Fig. 1). Total RNA was extracted from pooled sperm using mirVana™ miRNA Isolation Kit (Life Technologies) according to the manufacturer’s instructions and eluted in 50 µl of the provided elution buffer.

Reverse Transcriptase PCR

To validate F1–F4 miRNA sequencing results, reverse transcriptase PCR was conducted using sperm from the same individuals that were also pooled for miRNA sequencing. Multiple miRNAs (>1000 normalized read counts) with a fold-change (CTRL/treatment) of >1.5 were selected for validation. Several other miRNAs with a fold change of ∼1 or −1 were considered as an endogenous control. We normalized using the same miRNA (miR-99a-5p) for all treatments and all generations. Extracted RNA was reverse transcribed with provided primers using the miScript II RT Kit (QIAGEN, Toronto, ON, Canada) according to manufacturer’s instructions. cDNAs were subjected to Real Time PCR using the miScript SYBR® Green PCR, Kit (QIAGEN) and the following primers (QIAGEN):

Rn_miR-34c*_1 miScript Primer Assay, Rn_miR-16_2 miScript Primer Assay, Rn_miR-340-5p_2 miScript Primer Assay, Rn_miR-30b_1 miScript Primer Assay, Rn_miR-1_2 miScript Primer Assay, Rn_miR-547_2 miScript Primer Assay, Rn_miR-489*_1 miScript Primer Assay, Rn_miR-429_1 miScript Primer Assay, Rn_miR-471_1 miScript Primer Assay, Rn_miR-125a_1 miScript Primer Assay and Rn_miR-101a_3 miScript Primer Assay. miR_99a_5p was used as endogenous control, miR_99a_3′ (5′-CTG CCA CAG ACC CAT AGA AAC-3′) and miR_99a_5′ (5′-ATC CGA TCT TGT GGT GAA GTG-3′). The PCR protocol was carried out using the LightCycler® 480 (Roche Life Science) with the following programme: pre-denaturation of one cycle at 95°C for 15 min, followed by PCR amplification for 40 cycles of denaturation at 94°C for 15 s, annealing at 55°C for 30 s, and elongation at 70°C for 30 s.

miRNA Sequencing

NEBNext Multiplex Small RNA (New Englands Biolabs, Inc., Ipswich, MA) was used to prepare miRNA sequencing libraries according to manufacturer’s instructions. Twenty-four libraries were prepared using 30 ng miRNA purified using mirVana miRNA isolation kit (Thermo Fisher Scientific, Mississauga, Canada). 3′ SR adaptors were ligated to the 3′ end of miRNA followed by ligation of SR RT primers to the 5′ end of miRNA-3′ adaptors, which was further used for the reverse transcription step. Subsequently, 5′ SR adaptors were ligated to the 5′ end of miRNA. Following reverse transcription, an amplification for 13 cycles was performed to incorporate specific indexes for multiplexing. After purification using GenElute PCR clean-up kit (Sigma-Aldrich, St. Louis, MO), the appropriate range of cDNA fragments (120–150 bp) was extracted on a 3% gel using a Pippin Prep instrument (Sage Science, Beverly, MA). Samples were quantified using a QBit 3.0 fluorometer (Thermo Fisher Scientific, Mississauga, Canada). miRNA libraries were pooled in equimolar ratio and the quality was examined with a DNA screentape D1000 HS on a TapeStation 2200 (Agilent Technologies, Santa Clara, CA). The final length range of libraries was verified and contained only the fraction of miRNAs. Subsequently, miRNA libraries were sequenced using two lanes of a rapid run flowcell on an HiSeq 2500 system at the Next-Generation Sequencing Platform, Genomics Center, CHU de Québec Research Center, Quebec City, Canada for single read 50 bp sequencing.

Bioinformatic Analysis

The raw sequence quality was validated using FastQC v0.11.4 [20]. Quality filtration of fastq reads and adaptor removal was carried out using Trimmomatic v0.35 [21] with the following options: ILLUMINACLIP:2:30:10, TRAILING:3, LEADING:3, SLIDINGWINDOW:4:15 and MINLEN:16. Trimmed sequences were converted to fasta format using custom bash script. Blast alignment was performed using blast v2.2.31+ against the Rattus norvegicus sequences extracted from the miRBase database release 21 with the blastn-short algorithm, a word size of 4 and a maximal E-value of 0.01 [22, 23]. Blastn results were aggregated and counts were normalized using R v3.2.0 (Team, 2013). The FactoMineR package was used to produce the principal component analysis plots. Differential expression analysis was performed using the DESeq2 v1.20.0 package [24, 25].

For subsequent analysis, a statistical significance for differential expression was set to P-value ≤ 0.05, FDR ≤ 5% and miRNAs were considered significantly differentially expressed when the difference was 0.58 on the Log2 scale (−1.5 ≥ |fold change| ≥ 1.5) (CTRL vs. Treatment). Gene-ontology (GO) analysis was performed using Ingenuity® Pathway Analysis (IPA®, Ingenuity Systems, Inc., Redwood City, CA) and Metascape [26] to identify gene targets that were experimentally validated by TarBase and miRecords pathways and highly predicted gene targets by TargetScan.

Results and Discussion

In support of our initial hypothesis, we first demonstrate that in utero exposure to POPs altered intergenerational sperm miRNA profiles. A total of 747 different miRNAs was detected in the sperm of rats from each of the CTRL, POPs, FA and POPs+FA lineages in F1–F4 generations (Fig. 2), of which a total of 91 miRNAs were significantly differentially expressed compared to CTRL (P-value ≤ 0.05; FDR ≤ 5%; −1.5 ≥ |fold change| ≥ 1.5). In utero exposure to POPs dysregulated 10 miRNAs (10↑, 0↓) by 1.5-fold in F1 (F1 CTRL vs. F1 POPs; Fig. 2A and B). MicroRNA dysregulation due to POPs exposure persisted across his subsequent unexposed generations, 10 miRNAs in F1, 37 miRNAs in F2 and 10 miRNAs in F3 and 1 miRNA in F4. The profile of small RNAs, including miRNAs, can be altered by environmental events and subsequently persist to modulate gene expression over multiple generations [27]. In our model, since F1 males and their developing germline were directly exposed to POPs, perturbation of F1 sperm was predicted. As the F2 sons were derived from the exposed F1 paternal germline, perhaps sperm produced by the F2 sons contain upstream chromatin and/or DNA methylation changes that escaped remodelling during development and spermatogenesis that could impact sperm miRNA profiles [28]. For instance, altered RNA profiles, including non-coding RNA, were observed as a result of reduced sperm H3K4me2 in F1 transgenic mice, compared to control [29].

Figure 2:

Figure 2:

in utero exposure to POPs or POPs+FA alters sperm miRNA expression differentially. (A) In utero exposure to POPs and POPs+FA exposure display altered miRNA expression profiles, as revealed by miSeq analyses. Venn diagrams comparing the number and overlap of significantly differentially expressed (P-value ≤ 0.05; FDR ≤ 5%; −1.5 ≥ |fold change| ≥ 1.5) miRNAs in POPs (purple), FA (orange) or POPs+FA (blue) compared to CTRL sperm in F1–F4 sperm. (B) Table including total number of significantly expressed (Sig. exp.) genes (P-value ≤ 0.05, FDR ≤ 5%) and the number of significantly differentially expressed (Sig. DE) genes (P-value ≤ 0.05; FDR ≤ 5%; −1.5 ≥ |fold change| ≥ 1.5) that are up- or down-regulated indicated by ↑ and ↓ respectively due to POPs, FA or POPs+FA in F1–F4. (C) GO and pathway analysis based on miRNA-targeted genes, that were experimentally validated by TarBase and miRecords, plus highly predicted gene targets by TargetScan, for POPs (purple), FA (orange) and POPs+FA (blue). Top significant (P < 0.05) GOs and KEGG enriched pathways predicted by dysregulated miRNAs in F1–F3 are presented. Pathways are ranked by number of miRNA-targeted genes. Consistently, POPs targeted a higher number of genes for listed pathways in F1 and F2. FA and specifically POPs+FA targeted nearly as many genes implicated in similar pathways

Although others have reported inter- and transgenerational perturbation of non-coding RNAs in sperm following intraperitoneal injections of pharmacological levels of pesticides [30, 31], ours is the first to demonstrate that environmentally relevant ancestral contaminant exposures disrupt the sperm miRNA profile. In utero exposure to POPs+FA supplementation altered fewer miRNAs 1 (1↑, 0↓) in F1 sperm compared to POPs (10; 10↑, 0↓). It is tempting to speculate that maternal consumption of 3X FA diets may have partly protected her offspring’s sperm epigenome from toxicant-induced perturbation.

Interestingly, various developmental and disease conditions induced by POPs (e.g. neurodevelopmental deficits, altered reproductive functions and immunotoxicity) are related to oxidative stress-mediated cellular damage [32–34]. Studies in humans reported oxidative stress after accidental PCB poisoning or occupational POPs exposures [35, 36]. Furthermore, oxidative stress has been shown to alter small non-coding RNA (including miRNA) expression in somatic cells and sperm [37, 38]. The protective role of FA supplementation in the F1 sperm may be partly explained by its antioxidant activity if the miRNA changes are caused by oxidative stress induced by POPs exposure (i.e. F1 POPs males) [39–41]. If, however, the miRNA changes in POPs exposed sperm are due to an altered methylation capacity or dysregulated nucleotide synthesis or mutations, then the increased availability of methyl groups provided by FA supplementation may mitigate the POPs effect by supporting DNA repair through nucleotide synthesis. Additional studies of the interaction between POPs and FA are required.

With respect to the interaction between FA and POPs, a previous cross-sectional study observed an inversed relationship between folate concentration and DDT isomers including metabolites in the blood of healthy women; the authors proposed that (i) folate may increase DDT (including metabolites) metabolism and excretion, and (ii) DDT decreases the levels of folate in the body [42]. This provides insight to possible similar events taking place in directly exposed sperm.

Similar to the POPs treatment, the number of altered miRNAs unexpectedly increases from F1 to F2 due to ancestral POPs+FA (1 miRNA in F1 and 12 miRNAs in F2; Fig. 2A). Based on previous findings in animal studies, in utero FA supplementation alters the sperm epigenome via DNA methylation and chromatin structure/histone modifications over multiple generations [43–45]. In turn, these FA-induced epigenetic changes in sperm could alter the methyl donor pool and subsequently impact gene expression during spermatogenesis including expression of miRNA.

Concerning the intergenerational effect observed in F1 and F2 due to POPs and POPs+FA, it remains puzzling how environmentally perturbed paternal miRNAs can persist across multiple generations [46]. To become heritable, parts of the sperm chromatin must escape reprogramming, leading to the possibility that sperm miRNA profiles are subsequently modified by environmental factors [27]. There are clear examples of sperm DNA methylation that escape reprogramming and histones can be involved [29].

We performed GO analysis to identify gene targets of the significantly dysregulated miRNAs by 1.5-fold in F1–F4 (Fig. 2C). Previous studies have shown that some POPs are endocrine disrupters and interfere with hormone-regulated processes including genital development, puberty onset and sperm production [47, 48]. Interestingly, here we show that in utero exposure to POPs particularly affected miRNAs implicated in mammary gland development (P = 1.97E-14) and embryonic organ development (P = 1.62E-11) in F1, whereas POPs+FA did not (Fig. 2C, left). In fact, only a few similar pathways were significantly affected by POPs and POPs+FA, such as cancer pathways (POPs P = 1.04E-31; POPs+FA P = 9.92E-05), PI3K-Akt signalling pathway (POPs P = 2.21E-21; POPs+FA P = 0.004) and blood vessel morphogenesis (POPs P = 1.41E-27; POPs+FA P = 3.99E-05) in F1. Although similar pathways were perturbed, POPs+FA appeared to affect fewer genes compared to POPs in F1. With regard to FA treatment alone, altered sperm miRNAs were specifically implicated in brain development (P = 8.53E-08) and developmental growth (P = 3.31E-07) in F1.

In F2, in utero exposure to POPs affected miRNAs in cancer (P = 6.76E-31), sex differentiation (P = 1.29E-13), brain development (P = 7.28E-23) and reproductive system development (P = 1.02E-29) (Fig. 2C, middle), similar to F1. Not seen in F1, however, blood vessel (P = 7.18E-27), heart (P = 3.98E-26) and kidney (P = 2.37E-09) development were affected by in utero POPs exposure in F2. Several similarities were observed between POPs and POPs+FA, though, again fewer genes seemed to be affected by POPs+FA and FA alone in F2.

In F3, ancestral exposure to POPs disrupted pathways involved in response to oxidative stress (P = 2.61E-10) cognition (P = 5.65E-10) and brain development (P = 1.44E-08) (Fig. 2C, right). Also in F3, four pathways were affected by both ancestral POPs and POPs+FA, which was similar to in F2. Again, fewer genes were altered due ancestral POPs+FA compared to POPs alone.

No significantly affected pathways were observed due to all treatments in F4 (P ≤ 0.05). Taken together, each treatment affected the sperm miRNA profile differently in each generation, implying different multigenerational signatures mediated by miRNAs.

Next, we identified several treatment-specific dysregulated miRNAs compared to CTRL in F1–F4 generations that were unique to POPs exposure and/or FA supplementation (Fig. 2A). In F1, nine miRNAs were treatment specific for POPs (purple), five miRNAs for FA and zero miRNAs for POPs+FA (blue). Also in F1, POPs and POPs+FA shared one miRNA independently from FA (Fig. 2A). POPs and POPs+FA consistently shared miRNAs until F2.

To further explore whether dietary FA supplementation in F0 dams can correct the dysregulated miRNA expression induced by ancestral POPs exposure, we compared the fold change of treatment-specific miRNAs due to POPs versus POPs+FA (Fig. 3A and B). Consistent with our hypothesis, we repeatedly observed that the dysregulated miRNA fold-changes due to POPs+FA in F1–F3 generations were corrected or shifted towards CTRL levels (Fig. 3A).

Figure 3:

Figure 3:

combining FA with POPs counteracts the effect of POPs on sperm miRNA expression in F1–F3. (A) Sperm microRNA dynamics of all significant coexpressed sperm miRNAs (P-value ≤ 0.05; FDR ≤ 5%) across treatments, POPs (purple), FA (orange), POPs+FA (blue) in F1–F4. A clear dilution effect can be observed after F2 until F4. In addition, compared to POPs, POPs+FA seems to alter similar sperm miRNAs but to a lesser extent, particularly in F1. (B) Graphs illustrating the Log2 Fold change of all sperm miRNAs specifically altered due to POPs (9 in F1, 29 in F2 and 10 in F3) compared to POPs+FA. Dashed line represents Log2 Fold change of 0.58 which equals a fold change of 1.5. All sperm miRNAs with a Log2 Fold change below 0.58 was considered as ‘no change’ thus control level. In F1–F3, we repeatedly observed the Log2 Fold change of POPs altered sperm miRNAs to be brought back towards control level by POPs+FA

As examples, in F1, besides rno-miR-6334, the majority of miRNAs are up-regulated due to POPs (purple) and restored or close to restored by FA supplementation (POPs+FA, blue; Fig. 3B left). This effect was more profound in F2 as 25 out of 29 miRNAs were restored by POPs+FA. Even in F3, we observed a mitigating effect by the FA supplementation on POPs dysregulated miRNAs, as 6 out of 10 miRNAs were brought back towards to control levels. Regardless of treatment, when compared to control, the fold-change intensity of the significantly altered sperm miRNAs lessened across generations, particularly after F2.

To further investigate whether in utero exposure to POPs and POPs+FA supplementation alters sperm miRNA expression transgenerationally, we identified overlapping and non-overlapping dysregulated miRNAs between generations per treatment lineage (Fig. 4A and B). Several studies have shown altered sperm miRNA expression profiles due to paternal diet/lifestyle [49–52]; however, few reported transgenerational inheritance of sperm miRNAs [13, 53]. Here, we found 3 intergenerational (between F1 and F2 generations) dysregulated miRNAs due to POPs exposure including rno-miR-6334, rno-miR-19b-3b and rno-miR-30b-5p (Fig. 4A). Interestingly, previous studies showed that the miR-30 family plays an important regulatory role in tissue and organ development, more specifically, and pertinent to our study, reproductive development [54]. MiR-30 is highly expressed in both mouse and human testis tissue and is associated with the Homeobox protein and Zn transport, which are critical for male fertility [55]. MiR-19 has been previously shown to be implicated in intergenerational inheritance as microinjection of either testis or sperm miR-19b of male mice fed a Western-like diet, into native one-cell embryos, lead to a Western-like diet-induced metabolic phenotype in his offspring [53]. No significantly differentially expressed miRNAs were altered beyond F2, therefore, no transgenerational epigenetic inheritance was induced by ancestral POPs exposure.

Figure 4:

Figure 4:

in utero exposure to both POPs and POPs+FA affects sperm miRNA expression intergenerationally (F1, F2). (A) Venn diagrams depicting the overlap of significantly differentially expressed (P-value ≤ 0.05; FDR ≤ 5%; −1.5 ≥ |fold change| ≥ 1.5) miRNAs due to POPs (purple) and POPs+FA (blue), respectively. Three miRNAs were intergenerationally altered due to in utero POPs exposure and one miRNA due to POPs+FA. One intergenerational miRNA (rno-miR-6334) was conserved between POPs and POPs+FA. (B) The expression of rno-miR-6334 in Log2 Fold change due to POPs (purple) and POPs+FA (blue). Rno-miR-6334 is altered in similar direction due to both treatments. (C, D) Validation of POPs (purple) and POPs+FA (blue) miRNA sequencing data using real-time PCR. Total RNA was extracted from CTRL, POPs and POPs+FA sperm. The expression of miRNAs relative to endogenous control RNA was determined by real-time PCR. The results are expressed as a fold change of POPs or POPs+FA to CTRL. Data are presented as means ± SD from 3 to 5 rats, each assay performed in triplicate

In utero exposure to POPs+FA supplementation intergenerationally (F1 vs. F2) dysregulated one miRNA (Fig. 4A). In contrast to the POPs lineage, the miR-30 and miR-19 families were not affected. Only miR-6334 was intergenerationally affected due to POPs+FA until F2. Little is known about the role of miR-6334, and no experimentally validated gene targets have been detected so far.

Using real-time PCR, three miRNAs were validated in sperm from the same individuals that had been previously pooled for miRNA sequencing (Fig. 4C and D). To be detectable using qPCR, miR34c-5p, 340-5p and 471-5p were selected based on their normalized read counts of >1000 and >1.5 fold change (CTRL/treatment). Nonetheless, we observed comparable results between miRNA sequencing data and qPCR data.

Lastly, concerning the phenotypic outcomes of this study, our team previously described in a corresponding, complementary study subtle but significant deleterious effects of prenatal exposure to POPs on male reproductive function and early embryo gene expression across at least three generations [56]. In that study, sperm quality and fertility were reduced in F2 and F3 males, respectively. Furthermore, the poorest pregnancy outcomes were observed in F3 males and F4 two-cell embryos had the highest number of significantly differentially expressed genes compared to untreated control animals [56].

In conclusion, this is a unique demonstration of the vulnerability of the paternal epigenome to the ancestral environment. We show that in utero exposure to environmentally relevant contaminants perturbs sperm miRNAs intergenerationally, but that the severity of perturbation decreases after the F2 generation. Moreover, this is the first report of a nutritionally pertinent intervention that can mitigate the effect of such contaminants.

Supplementary Material

dvz024_Supplementary_Data

Acknowledgements

The authors would like to thank I. Laflamme, A. Rioux and A. Pelletier for (Laval University) for technical expertise during animal sacrifice.

Funding

This research was financed by the Canadian Institutes of Health Research (TE1-138294) as well as the Fonds de la recherche en santé (scholarship to PMH) and en nature et technologies du Québec (strategic network funding for the Reseau Quebecois en Reproduction).

Supplementary data

Supplementary data are available at EnvEpig online.

Conflict of interest statement. None declared.

References

  • 1. Landrigan PJ, Fuller R, Acosta NJR, Adeyi O, Arnold R, Basu NN, Baldé AB, Bertollini R, Bose-O'Reilly S, Boufford JI, Breysse PN, Chiles T, Mahidol C, Coll-Seck AM, Cropper ML, Fobil J, Fuster V, Greenstone M, Haines A, Hanrahan D, Hunter D, Khare M, Krupnick A, Lanphear B, Lohani B, Martin K, Mathiasen KV, McTeer MA, Murray CJL, Ndahimananjara JD, Perera F, Potočnik J, Preker AS, Ramesh J, Rockström J, Salinas C, Samson LD, Sandilya K, Sly PD, Smith KR, Steiner A, Stewart RB, Suk WA, van Schayck OCP, Yadama GN, Yumkella K, Zhong M.. The Lancet Commission on pollution and health. Lancet 2018;391:462–512. [DOI] [PubMed] [Google Scholar]
  • 2. Hung H, Katsoyiannis AA, Guardans R.. Ten years of global monitoring under the Stockholm Convention on persistent organic pollutants (POPs): trends, sources and transport modelling. Environ Pollut 2016;217:1–3. [DOI] [PubMed] [Google Scholar]
  • 3. Mackay D, Wania F.. Transport of contaminants to the Arctic: partitioning, processes and models. Sci Total Environ 1995;160–161:25–38.. [Google Scholar]
  • 4. Hung H, Kallenborn R, Breivik K, Su Y, Brorström-Lundén E, Olafsdottir K, Thorlacius JM, Leppänen S, Bossi R, Skov H, Manø S, Patton GW, Stern G, Sverko E, Fellin P.. Atmospheric monitoring of organic pollutants in the Arctic under the Arctic Monitoring and Assessment Programme (AMAP): 1993–2006. Sci Total Environ 2010;408:2854–73. [DOI] [PubMed] [Google Scholar]
  • 5. De Jager C. et al. Reduced seminal parameters associated with environmental DDT exposure and p,p′-DDE concentrations in men in Chiapas, Mexico: a cross-sectional study. J Androl 2006;27:16–27. [DOI] [PubMed] [Google Scholar]
  • 6. Anas M-KI, Guillemette C, Ayotte P, Pereg D, Gigueère F, Bailey JL.. In utero and lactational exposure to an environmentally relevant organochlorine mixture disrupts reproductive development and function in male rats. Biol Reprod 2005;73:414–26. [DOI] [PubMed] [Google Scholar]
  • 7. Maurice C, Kaczmarczyk M, Côté N, Tremblay Y, Kimmins S, Bailey JL.. Prenatal exposure to an environmentally relevant mixture of Canadian Arctic contaminants decreases male reproductive function in an aging rat model. J Dev Orig Health Dis 2018;9:511–8. [DOI] [PubMed] [Google Scholar]
  • 8. Mumford SL, Kim S, Chen Z, Gore-Langton RE, Boyd Barr D, Buck Louis GM.. Persistent organic pollutants and semen quality: the LIFE study. Chemosphere 2015;135:427–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Spano M. et al. Exposure to PCB and p,p′-DDE in European and Inuit populations: impact on human sperm chromatin integrity. Hum Reprod 2005;20:3488–99. [DOI] [PubMed] [Google Scholar]
  • 10. Belleau P, Deschênes A, Scott-Boyer M-P, Lambrot R, Dalvai M, Kimmins S, Bailey J, Droit A.. Inferring and modeling inheritance of differentially methylated changes across multiple generations. Nucleic Acids Res 2018;46:7466. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Consales C, Toft G, Leter G, Bonde JPE, Uccelli R, Pacchierotti F, Eleuteri P, Jönsson BAG, Giwercman A, Pedersen HS, Struciński P, Góralczyk K, Zviezdai V, Spanò M.. Exposure to persistent organic pollutants and sperm DNA methylation changes in Arctic and European populations. Environ Mol Mutagen 2016;57:200–9. [DOI] [PubMed] [Google Scholar]
  • 12. Sharma U, Sun F, Conine CC, Reichholf B, Kukreja S, Herzog VA, Ameres SL, Rando OJ.. Small RNAs are trafficked from the epididymis to developing mammalian sperm. Dev Cell 2018;46:481–94, e486. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Rodgers AB, Morgan CP, Leu NA, Bale TL.. Transgenerational epigenetic programming via sperm microRNA recapitulates effects of paternal stress. Proc Natl Acad Sci U S A 2015;112:13699–704. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Crider KS, Yang TP, Berry RJ, Bailey LB.. Folate and DNA methylation: a review of molecular mechanisms and the evidence for folate's role. Adv Nutr 2012;3:21–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Kim KC, Friso S, Choi SW.. DNA methylation, an epigenetic mechanism connecting folate to healthy embryonic development and aging. J Nutr Biochem 2009;20:917–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Bengston Nash S, Breivik K, Cousins I, Kallenborn R, Raina-Fultun R, Kucklick J, Riget F, Vorkamp K, de Wit C, Verreault J, Hermanson M, Reiner J. Canadian Arctic Contaminants Assessment Report III 2013 2013.
  • 17. Muir D, Braune B, DeMarch B, Norstrom R, Wagemann R, Lockhart L, Hargrave B, Bright D, Addison R, Payne J, Reimer K.. Spatial and temporal trends and effects of contaminants in the Canadian Arctic marine ecosystem: a review. Sci Total Environ 1999;230:83–144. [DOI] [PubMed] [Google Scholar]
  • 18. Reeves PG, Nielsen FH, Fahey GC Jr.. AIN-93 purified diets for laboratory rodents: final report of the American Institute of Nutrition ad hoc writing committee on the reformulation of the AIN-76A rodent diet. J Nutr 1993;123:1939–51. [DOI] [PubMed] [Google Scholar]
  • 19. Swayne BG, Behan NA, Williams A, Stover PJ, Yauk CL, MacFarlane AJ.. Supplemental dietary folic acid has no effect on chromosome damage in erythrocyte progenitor cells of mice. J Nutr 2012;142:813–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Andrews S. FastQC: A Quality Control Tool for High Throughput Sequence Data 2010. http://www.bioinformatics.babraham.ac.uk/projects/fastqc/.
  • 21. Bolger AM, Lohse M, Usadel B.. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 2014;30:2114–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Altschul SF. et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 1997;25:3389–402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Griffiths-Jones S, Grocock RJ, van Dongen S, Bateman A, Enright AJ.. miRBase: microRNA sequences, targets and gene nomenclature. Nucleic Acids Res 2006;34:D140–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Lê S, Josse J, Husson F.. FactoMineR: an R package for multivariate analysis. J Stat Softw 2008;25:1–18. [Google Scholar]
  • 25. 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] [PMC free article] [PubMed] [Google Scholar]
  • 26. Tripathi S, Pohl MO, Zhou Y, Rodriguez-Frandsen A, Wang G, Stein DA, Moulton HM, DeJesus P, Che J, Mulder LCF, Yángüez E, Andenmatten D, Pache L, Manicassamy B, Albrecht RA, Gonzalez MG, Nguyen Q, Brass A, Elledge S, White M, Shapira S, Hacohen N, Karlas A, Meyer TF, Shales M, Gatorano A, Johnson JR, Jang G, Johnson T, Verschueren E, Sanders D, Krogan N, Shaw M, König R, Stertz S, García-Sastre A, Chanda SK.. Meta- and orthogonal integration of influenza “OMICs” data defines a role for UBR4 in virus budding. Cell Host Microbe 2015;18:723–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Houri-Zeevi L, Rechavi O.. A matter of time: small RNAs regulate the duration of epigenetic inheritance. Trends Genet 2017;33:46–57. [DOI] [PubMed] [Google Scholar]
  • 28. Donkin I, Barres R.. Sperm epigenetics and influence of environmental factors. Mol Metab 2018;14:1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Siklenka K, Erkek S, Godmann M, Lambrot R, McGraw S, Lafleur C, Cohen T, Xia J, Suderman M, Hallett M, Trasler J, Peters AHFM, Kimmins S.. Disruption of histone methylation in developing sperm impairs offspring health transgenerationally. Science 2015;350:aab2006. [DOI] [PubMed] [Google Scholar]
  • 30. Ben Maamar M, Sadler-Riggleman I, Beck D, McBirney M, Nilsson E, Klukovich R, Xie Y, Tang C, Yan W, Skinner MK.. Alterations in sperm DNA methylation, non-coding RNA expression, and histone retention mediate vinclozolin-induced epigenetic transgenerational inheritance of disease. Environ Epigenet 2018;4:dvy010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Skinner MK, Ben Maamar M, Sadler-Riggleman I, Beck D, Nilsson E, McBirney M, Klukovich R, Xie Y, Tang C, Yan W.. Alterations in sperm DNA methylation, non-coding RNA and histone retention associate with DDT-induced epigenetic transgenerational inheritance of disease. Epigenet Chromatin 2018;11:8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Wells PG, McCallum GP, Chen CS, Henderson JT, Lee CJJ, Perstin J, Preston TJ, Wiley MJ, Wong AW.. Oxidative stress in developmental origins of disease: teratogenesis, neurodevelopmental deficits, and cancer. Toxicol Sci 2009;108:4–18. [DOI] [PubMed] [Google Scholar]
  • 33. Pham-Huy LA, He H, Pham-Huy C.. Free radicals, antioxidants in disease and health. Int J Biomed Sci 2008;4:89–96. [PMC free article] [PubMed] [Google Scholar]
  • 34. Betteridge DJ. What is oxidative stress? Metabolism 2000;49:3–8. [DOI] [PubMed] [Google Scholar]
  • 35. Guo W, Huen K, Park J-S, Petreas M, Crispo Smith S, Block G, Holland N.. Vitamin C intervention may lower the levels of persistent organic pollutants in blood of healthy women—a pilot study. Food Chem Toxicol 2016;92:197–204. [DOI] [PubMed] [Google Scholar]
  • 36. Wen S. et al. Elevated levels of urinary 8-hydroxy-2′-deoxyguanosine in male electrical and electronic equipment dismantling workers exposed to high concentrations of polychlorinated dibenzo-p-dioxins and dibenzofurans, polybrominated diphenyl ethers, and polychlorinated biphenyls. Environ Sci Technol 2008;42:4202–7. [DOI] [PubMed] [Google Scholar]
  • 37. Mostafa T, Rashed LA, Nabil NI, Osman I, Mostafa R, Farag M.. Seminal miRNA relationship with apoptotic markers and oxidative stress in infertile men with varicocele. Biomed Res Int 2016;2016:1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Engedal N, Žerovnik E, Rudov A, Galli F, Olivieri F, Procopio AD, Rippo MR, Monsurrò V, Betti M, Albertini MC.. From oxidative stress damage to pathways, networks, and autophagy via microRNAs. Oxid Med Cell Longev 2018;2018:1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Guo X, Cui H, Zhang H, Guan X, Zhang Z, Jia C, Wu J, Yang H, Qiu W, Zhang C, Yang Z, Chen Z, Mao G.. Protective effect of folic acid on oxidative DNA damage: a randomized, double-blind, and placebo controlled clinical trial. Medicine (Baltimore) 2015;94:e1872. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Lee SJ, Kang MH, Min H.. Folic acid supplementation reduces oxidative stress and hepatic toxicity in rats treated chronically with ethanol. Nutr Res Pract 2011;5:520–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Joshi R, Adhikari S, Patro BS, Chattopadhyay S, Mukherjee T.. Free radical scavenging behavior of folic acid: evidence for possible antioxidant activity. Free Radic Biol Med 2001;30:1390–9. [DOI] [PubMed] [Google Scholar]
  • 42. Arguelles LM, Liu X, Venners SA, Ronnenberg AG, Li Z, Yang F, Yang J, Xu X, Wang X.. Serum folate and DDT isomers and metabolites are inversely associated in Chinese women: a cross-sectional analysis. J Am Coll Nutr 2009;28:380–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Lambrot R, Xu C, Saint-Phar S, Chountalos G, Cohen T, Paquet M, Suderman M, Hallett M, Kimmins S.. Low paternal dietary folate alters the mouse sperm epigenome and is associated with negative pregnancy outcomes. Nat Commun 2013;4:2889. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Ly L, Chan D, Aarabi M, Landry M, Behan NA, MacFarlane AJ, Trasler J.. Intergenerational impact of paternal lifetime exposures to both folic acid deficiency and supplementation on reproductive outcomes and imprinted gene methylation. Mol Hum Reprod 2017;23:461–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Bernal AJ, Jirtle RL.. Epigenomic disruption: the effects of early developmental exposures. Birth Defects Res A Clin Mol Teratol 2010;88:938–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Yuan S, Schuster A, Tang C, Yu T, Ortogero N, Bao J, Zheng H, Yan W.. Sperm-borne miRNAs and endo-siRNAs are important for fertilization and preimplantation embryonic development. Development 2016;143:635–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Gregoraszczuk EL, Ptak A.. Endocrine-disrupting chemicals: some actions of POPs on female reproduction. Int J Endocrinol 2013;2013:1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Vested A, Giwercman A, Bonde JP, Toft G.. Persistent organic pollutants and male reproductive health. Asian J Androl 2014;16:71–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Rodgers AB, Morgan CP, Bronson SL, Revello S, Bale TL.. Paternal stress exposure alters sperm microRNA content and reprograms offspring HPA stress axis regulation. J Neurosci 2013;33:9003–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Fullston T, Ohlsson Teague EMC, Palmer NO, DeBlasio MJ, Mitchell M, Corbett M, Print CG, Owens JA, Lane M.. 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] [PubMed] [Google Scholar]
  • 51. Paris L, Giardullo P, Leonardi S, Tanno B, Meschini R, Cordelli E, Benassi B, Longobardi MG, Izzotti A, Pulliero A, Mancuso M, Pacchierotti F.. Transgenerational inheritance of enhanced susceptibility to radiation-induced medulloblastoma in newborn Ptch1(+)/(−) mice after paternal irradiation. Oncotarget 2015;6:36098–112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. de Castro Barbosa T, Ingerslev LR, Alm PS, Versteyhe S, Massart J, Rasmussen M, Donkin I, Sjögren R, Mudry JM, Vetterli L, Gupta S, Krook A, Zierath JR, Barrès R.. High-fat diet reprograms the epigenome of rat spermatozoa and transgenerationally affects metabolism of the offspring. Mol Metab 2016;5:184–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Grandjean V, Fourré S, De Abreu DAF, Derieppe M-A, Remy J-J, Rassoulzadegan M.. RNA-mediated paternal heredity of diet-induced obesity and metabolic disorders. Sci Rep 2016;5:18193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Mao L, Liu S, Hu L, Jia L, Wang H, Guo M, Chen C, Liu Y, Xu L.. miR-30 family: a promising regulator in development and disease. Biomed Res Int 2018;2018:1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Madison-Villar MJ, Michalak P.. Misexpression of testicular microRNA in sterile Xenopus hybrids points to tetrapod-specific microRNAs associated with male fertility. J Mol Evol 2011;73:316–24. [DOI] [PubMed] [Google Scholar]
  • 56. Lessard M, Herst PM, Charest PL, Navarro P, Joly-Beauparlant C, Droit A, Kimmins S, Trasler J, Benoit-Biancamano M-O, MacFarlane AJ, Dalvai M, Bailey JL.. Prenatal exposure to environmentally-relevant contaminants perturbs male reproductive parameters across multiple generations that are partially protected by folic acid supplementation. Sci Rep 2019;9:13829. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

dvz024_Supplementary_Data

Articles from Environmental Epigenetics are provided here courtesy of Oxford University Press

RESOURCES