Abstract
Depression and anxiety are the most common mental health conditions during pregnancy and can impair the normal development of mother-infant interactions. These adversities are associated with low birth weight and increased risk of behavioural disorders in children. We recently reported reduced expression of the imprinted gene PATERNALLY EXPRESSED GENE 3 (PEG3) in placenta of human infants born to depressed mothers. Expression of Peg3 in the brain has previously been linked maternal behaviour in rodents, at least in some studies, with mutant dams neglecting their pups. However, in our human study decreased expression was in the placenta derived from the fetus. Here, we examined maternal behaviour in response to reduced expression of Peg3 in the feto-placental unit. Prenatally we found novelty reactivity was altered in wild-type females carrying litters with a null mutation in Peg3. This behavioural alteration was short-lived and there were no significant differences the transcriptomes of either the maternal hypothalamus or hippocampus at E16.5. In contrast, while maternal gross maternal care was intact postnatally, the exposed dams were significantly slower to retrieve their pups and displayed a marked increase in anxiety. We also observed a significant reduction in the isolation-induced ultrasonic vocalizations (USVs) emitted by mutant pups separated from their mothers. USVs are a form of communication known to elicit maternal care suggesting Peg3 mutant pups drive the deficit in maternal behaviour. These data support the hypothesis that reduced placental PEG3 in human pregnancies occurs as a consequence of prenatal depression but leaves scope for feto-placental Peg3 dosage, during gestation, influencing aspects of maternal behaviour.
Introduction
A recent UK study estimated that perinatal mental health problems cost the UK £8.1 billion each year with nearly three-quarters of this cost related to adverse impacts on the child (1). Depression and anxiety are the most common mental health conditions associated with pregnancy, estimated to affect as many as one in five women (2,3) with the highest risk in women with a history of mental illness and those exposed to adverse circumstances (4). Prenatal depression and anxiety are risk factors for post-natal depression (5) and can impair the normal development of post-natal maternal behaviour and mother-infant interactions (6). Prenatal depression is highly correlated with low birth weight (7–14), and both prenatal and post-natal depression are linked to neurodevelopmental problems in children (15–18). A number of other common conditions such as pre-pregnancy obesity, gestational diabetes and hypertension-spectrum pregnancy disorders co-occur with depression symptoms (19,20) and these are also associated with adverse outcomes for children (21–23). These co-occurrences add a high level of complexity to studying the causes and consequences of mental health conditions in human pregnancies.
Recently, we reported lower expression of the imprinted PATERNALLY EXPRESSED GENE 3 (PEG3) in term placenta from women with either clinically diagnosed depression in pregnancy or questionnaire identified depression near term (24). PEG3 is a paternally expressed imprinted gene whose allelic expression is established and maintained by DNA methylation spanning its promoter (25). PEG3 encodes a zinc finger protein that represses the transcription of a number of genes involved in cellular metabolism (26,27). Studies in rodents have identified function for Peg3 in regulating fetal and placental growth with loss-of-function resulting in low birth weight and lighter placenta (28–30). In adult mice, loss-of-function of Peg3 has both metabolic (31) and behavioural consequences (28,32–34). As adults, Peg3 mutant mice of both genders deposit excess fat despite consuming less food, potentially due to a lowered metabolic rate (31). Female Peg3 mutant mice are slower to enter puberty (31) and, as adults, exhibit a deficit in classic tests of maternal behaviours, such as nest building and pup retrieval, alongside a defect in oxytocin-expressing neurons (28). Male Peg3 mutant mice fail to respond normally to sexually receptive females (35). More recent observations suggest the maternal behaviour may be strain sensitive (30).
Behavioural studies have examined the consequences of loss-of-function of Peg3 in the adult whereas we observed reduced expression in the placenta, which is derived from the fetus. No other study that has reported on maternal behaviour of wild-type (WT) dams carrying and nursing Peg3 KO offspring. Li et al. (1999) reported on the maternal behavioural phenotype of Peg3 KO dams mothering phenotypically WT pups (carrying inactive maternal allele) (28). Interbreeding of Peg3 heterozygotes mutant males and females resulted in a loss of litters but this also occurred in crosses between mutant females and WT males ie the genotype of the father and mutant phenotype of Peg3 offspring (50% would be KO) were not relevant for survival, at least in this study. Curley et al. (2004) reported on crosses between homozygous Peg3 KO males and WT females (32). Mutant litters had fewer pups that survived the first day of birth and mean pup weight was lower in Peg3 KO litters which could indicate suboptimal mothering, However, Peg3 KO pups gained less weight over the next 28 days than WT pups despite both groups being suckled by WT mothers, and this weight difference increased over time into the post-weaning period suggesting intrinsic growth restriction. PEG3 is expressed and imprinted in the villous cytotrophoblast layer of the human placenta (36). The placenta transports nutrients and oxygen to the growing fetus, removes waste products and mitigates the mother’s immune response to her semi-allogeneic fetus as well as manufacturing large quantities of hormones that induce the adaptations required for a successful pregnancy (37). Placental dysfunction consequently can have a myriad of direct consequences including low birth weight potentially contributing to to neurodevelopmental abnormalities in children. Although loss-of-function of Peg3 in mice results in low birth weight, this occurred in mixed litters of mutant and WT pups whereas term placental expression of PEG3 in humans does not appear to correlate with birth weight in singleton pregnancies (24,38,39). In addition to supporting fetal growth, the placenta can provide a record of exposures during pregnancy, as evidenced by changes in the placental transcriptome and epigenome in response to a number of adversities (40). Such exposures may alter the function of the placenta contributing to placental dysfunction and adverse outcomes. Few studies have assessed the absolute expression levels of PEG3 in relation to human conditions. However, DNA methylation can be used as a proxy for gene expression levels. Altered DNA methylation, primarily studied in infant cord blood samples, has been reported in association with infant temperament (greater externalizing and negative affectivity) (41) but not prenatal maternal stress (Perceived Stress Scale) (42), depressed maternal mood early in pregnancy (Centers for Epidemiologic Studies Depression Scale) or low birth weight (14). A number of factors have been linked to altered DNA methylation at PEG3 including fetal alcohol syndrome (43), maternal antibiotic use (44), obesity (45), toxic metals (46), paternal obesity (47) and maternal folate intake (48), all of which suggest imprinting of PEG3 is sensitive to environmental exposures.
We observed a 20–45% reduction in the expression of PEG3 in term placenta from women with depressive symptoms in pregnancy in three independently recruited human cohorts (24). One of the greatest challenges of interpreting placental changes in gene expression in human pregnancies is establishing cause and effect relationships, and we were not able to establish whether reduced expression occurred as a cause or a consequence of the depression. Here, we sought to address this challenge by making use of a Peg3 mutant mouse model. Transmission of a targeted Peg3 allele via the paternal germline results in offspring with global loss-of-function of Peg3 (28). We examined WT dams bearing litters of 100% Peg3 mutant pups and found that the loss of offspring Peg3 influenced maternal behaviour in the pre- and post-natal period.
Results
Fourteen days following observation of a vaginal plug, dams were individually housed in modified home cages to monitor behaviour longitudinally. In the first 24 h after separation from the male, WT dams carrying Peg3+/− (inheritance of targeted paternal allele; Peg3KO) fetuses moved significantly less that WT dams carrying WT fetuses (F2,28 = 4.739, P = 0.018, Dunnet post hoc WTPeg3KO vs WTWTP = 0.011; Fig. 1A). This was not due to a difference in weight at 14.5 [WTWT average 29.0 SEM 0.5 g, WTPeg3KO average 29.1 SEM 0.6, t(23) = −0.104, P = 0.92]. This was particularly pronounced in the first hour in the novel arena, whereby WTPeg3KO dams travelled significantly less distance than WTWT (F2,28 = 4.097, P = 0.028, Dunnett’s post hoc P = 0.023) dams and tended to travel less distance than not pregnant females (Dunnett’s post hoc P = 0.084; Fig. 1B and C).
Figure 1.
Carrying a litter null for Peg3 (Peg3KO) has consequences for the wild-type (WT) dams’ novelty reactivity mid-gestation that normalises in late gestation. (A) WTWT dams moved significantly more than WTPeg3KO dams in the first 24 in a novel home cage that was apparent in the first 2 h (B). (C) Example activity tracing from the first 2 h in a novel home cage. (D) Nest quality score made by WTWT, WTPeg3KO and not pregnant (NP) females. There was no effect of carrying a Peg3KO litter at E16.5 on distance moved (E), food (F) and water (G) zone visits during a nest building task. At E17.5 there was no difference between WTWT and WTPeg3KO females in number of (H), time spent on (I) and latency to enter (J) the anxiogenic open arms of an EZM. (K) hierarchical cluster of RNASeq data from the E16.5 hypothalamus and hippocampus indicates no difference between the transcriptome of WTWT and WTPeg3KO females. Data show mean ±SEM. *P < 0.05.
To further assess pregnant dam behaviour nest building performance was assayed. The existing nest was removed and dams were provided with new nesting material. Increased nest building behaviour is a robust phenotype associated with pregnancy, the frequency of which increases towards parturition (49). In this assay, we found no gross differences in quality of nest built after 1 h between WTWT, WTPeg3KO dams and non-pregnant females [χ(2) = 3.123, P = 0.21; Fig. 1D]. Pregnant dams tended to move less (F2,33 = 2.339, P = 0.113) and make less visits to the food (F2,33 = 1.553, P = 0.228) and water zone (F2,33 = 2.863, P = 0.072) compared with non-pregnant females. However, this did not reach statistical significance (Fig. 1E–G). In a late gestation task of anxiety-related behaviour there was no difference between WTWT, WTPeg3KO dams and non-pregnant females in any measures of the elevated zero maze (EZM), frequency of entries to (F2,32 = 0.353, P = 0.706), duration of time spent on (F2,32 = 0.056, P = 0.946) and latency to enter (F2,32 = 0.991, P = 0.383) anxiogenic open arms (Fig. 1H–J). Reflecting this similarity in behaviour later in gestation, at E16.5, there was no significant difference between the transcriptome of WTWT and WTPeg3KO dams in either the hippocampus or hypothalamus, as demonstrated by the overlap in hierarchical clustering within brain regions (Fig. 1K). This suggests a subtle difference in behaviour, in response to a novel arena, of WT dams carrying Peg3KO fetuses in mid-gestation.
Unlike locomotor activity during habituation to the novel home cage, dam activity levels in the five days around parturition were not different between WTWT and WTPeg3KO (see Supplementary Material, Table S2 for statistical details; Fig. 2A and B). Previously it has been reported that Peg3KO fetuses were lighter than their WT littermate controls at E17.5 (28). In the single genotype litters in this study, Peg3KO fetuses were not lighter that WT fetuses from the concurrently studied fully WT controls at E16.5 [t(88) = −0.792, P = 0.431; Supplementary Material, Fig. S1A]. Peg3KO placenta were significantly lighter than WT at E16.5 [t(87) = 9.788, P < 0.001; Supplementary Material, Fig. S1B]. Peg3KO pups are already known to be significantly lighter than their WT littermates (28,32), and we found that single genotype litters were lighter at P7 [t(131) = 8.892, P < 0.001; Supplementary Material, Fig. S1C]. Gestation length was also normal in WTPeg3KO dams (F1,24 0.025, P = 0.876; Supplementary Material, Fig. S1D). Food consumption increased significantly from P2 onwards in lactating dams in comparison to non-pregnant females (see Supplementary Material, Table S3 for statistical details; Fig. 2C). A similar pattern was observed for water consumption during lactation (Fig. 2D). There was a significant effect of lactation on water consumption from P1. WT dams nursing Peg3KO pups consumed significantly less water than WTWT dams on P1, 4 and 5. This was not a factor of different number of pups being nursed as litter size was equivalent between the groups [t(26) = −0.110, P = 0.913; Supplementary Material, Fig. S1E].
Figure 2.
Water, but not food, consumption is reduced in lactating WTPeg3KO females. (A) There was no difference in distance moved in five days around parturition and (B) normal diurnal activity was intact in WTPeg3KO as indicated by hourly distance moved between 1800 and 0800 h. (C) Food consumption increased in lactating dams compared with mated females that did not become pregnant (NP). (D) Water consumption increased during lactation but this was less pronounced in WTPeg3KO dams. Data show mean ±SEM. * WTWT significantly different from WTPeg3KO $WTWT significantly different from not pregnant, one-way ANOVA Dunnet post hoc test.
Neonatal pups cannot thermoregulate and, as such, require maternal crouching to maintain body temperature. When pups are displaced from the nest, dams will rapidly return pups (50). This behaviour has been shown to be impaired in dams lacking Peg3 (33). In this study, the time taken by WT dams exposed to WT or Peg3KO pups to sniff and retrieve four of their own pups was recorded for each dam on P2. WT dams nursing Peg3KO pups were significantly slower to sniff (F1,25 = 6.41, P = 0.018) and retrieve (F1,25 = 11.11, P = 0.003) pups (Fig. 3A and B). This was not associated with any difference in nest quality on P3 [χ(1) = 0.021, P = 0.884; Fig. 3C], nor in activity during a nest building task (F1,27 = 0.26, P = 0.62; Fig. 3D). While building a nest, there is a conflict between the time spent by the dams spend building a nest and the time spent crouching over the litter to maintain pup body temperature. There was no difference between WTWT and WTPeg3KO dams in latency to display full maternal care, defined as crouching over all pups and building a nest (F1,27 = 1.87, P = 0.18; Fig. 3E). Dam behaviour during this task was scored for nest building-related and pup directed behaviours. None of these behaviours were different between dams nursing WT or Peg3KO pups, indicating that the increased latency to sniff and retrieve pups was not associated with gross deficits in maternal care (Fig. 3F, All P > 0.05; See Supplementary Material, Table S2 for statistical details). Furthermore, there was no difference in duration of time spent on the nest in on P1 [t(23) = 0.6542, P = 0.52] This was emphasised by no difference in aggressive and defensive behaviours towards an intruder male on P7 (Fig. 3G, all P > 0.05; See Supplementary Material, Table S3 for statistical details).
Figure 3.
Exposure to Peg3KO pups increases WT dam latency to sniff and retrieve. Latency to sniff (A) and retrieve (B) pups. (C) Nest quality score on P3. There was no difference in distance moved (D), latency to full maternal care (E) time spent on nest on P1 (F) or maternal/nest building behaviour (G) on P3. There was no difference in aggression displayed towards an intruder male on P7 between WTWT and WTPeg3KO dams (H). Data show mean ±SEM. *P < 0.05 **P < 0.01.
Given the association between low placental PEG3 expression and maternal prenatal depression in humans, we assessed anxiety behaviour in EZM test and time spent immobile in a tail suspension test as a proxy of ‘mood’. While no difference was observed in time spent immobile in the tail suspension test between WTWT and WTPeg3KO dams (F1,20 = 0.032, P = 0.86; Fig. 4A), WTPeg3KO dams displayed significantly greater anxious behaviour than WTWT dams. WTPeg3KO dams made significantly less entries to (F1,27 = 4.51, P = 0.044), were significantly slower to enter (F1,27 = 4.47, P = 0.045) and travelled a shorter distance (F1,27 = 5.13, P = 0.032) in the open arms (Fig. 4B–F). This suggests that a consequence of carrying and nursing Peg3KO pups is increased anxiety in a WT dam or, alternatively, a failure to show the normal lactation-associated decrease in anxiety.
Figure 4.
Anxious- but not depressive-like behaviours are increased in dams nursing Peg3KO pups. (A) Time spent immobile in a tail suspension task. (B-E) In an elevated zero maze WTPeg3KO females made fewer entries (B), spent less time on (C), were slower to enter (D) and (E) travelled a shorter distance in the open arms of the EZM. (F) Example activity traces made by WTWT and WTPeg3KO females. Data show mean ±SEM. *P < 0.05.
During periods of maternal separation from pup, both the lactating female and the neonatal pups will vocalize in the ultrasonic range. This is thought to communicate location and arousal state information between dam and pup (51). Calls made by dams and pups were recorded separately. Peg3KO pups, in the absence of the dam, made significantly less USVs compared with WT pups [t(24) = 3.035, P = 0.006; Fig. 5]. Similar to intact maternal behaviours in the nest building and resident intruder tasks, WTPeg3KO dams did not differ significantly from their WTWT counterparts in USV number [t(24) = 0.895, P = 0.38]. These data suggest that, while gross maternal care is intact in WT dams nursing PegKO pups, a consequence of this exposure is heightened anxiety in the dams.
Figure 5.
Mutation in Peg3 reduced the number of isolation-induced USVs. Isolation-induced USV made by dams and four pups. Data show mean ±SEM. **P < 0.01.
Discussion
We recently reported an association between reduced placental PEG3 expression and prenatal depression in human mothers (24). This raised the possibility that reduced placental PEG3 might contribute to the programming of prenatal depression. To explore this, we used an experimental system where the behaviour of female mice exposed to a lower dose of Peg3 in utero. Apart from a subtle effect on exploratory behaviour by pregnant dams in a novel arena, our data did not support a causal role for reduced Peg3 in the programming prenatal brain and behaviour. However, post-natally mothers that carried exclusively Peg3KO pups displayed reduced retrieval of pups and increased general anxiety. In addition, we identified a very early defect in vocalization in Peg3KO pups. Taken together, these data suggest a functional role for reduced Peg3 dosage in the offspring in influencing maternal behaviour, with important relevance for maternal post-natal anxiety.
In mice, Peg3 regulates fetal and placental growth (28,29). Loss-of-function has been linked to altered sexual behaviour in males (35) and deficient maternal care behaviour in females (28), at least in some studies (30). Peg3 regulates a network of 22 genes concerned with neural development (52). Together, these data suggest Peg3 as a promising candidate for human behavioural disorders. However, the association we reported between reduced PEG3 expression and prenatal depression in human mothers was in the fetally-derived placenta (24). Reduced placental PEG3 might contribute to the programming of prenatal depression in the mother, potentially by alternating the endocrine function of the placenta. Alternatively, lower PEG3 could occur in response to the maternal depression or associated lifestyle factors. To explore these relationships, in the present study, we examined the behaviour of female mice exposed to a lower dose of Peg3 in utero in comparison to control females. In this model, Peg3 is expressed in the dams at a normal level. We found a subtle difference in reactivity to novelty in dams carrying embryos null for Peg3, specifically on E14.5 WTWT dams travelled significantly further than WTPeg3KO dams during the first 24 h in a novel home cage. This can be attributed to novelty reactivity, rather than hypoactivity per se, as this difference manifests in the first hour and normalised over time. Furthermore, in the five days around parturition there was no difference in activity between WTWT and WTPeg3KO dams, excluding general hypoactivity as a confounding factor. Despite these changes, we found no evidence of prenatal anxiety in the EZM, and normal diurnal activity patterns and food consumption. These behaviours are deregulated frequently in depression in humans but were intact in WTPeg3KO dams. We also examined gene expression in the hypothalamus (onset, maintenance and regulation of maternal behaviour) and the hippocampus (memory, learning and responses to fear and stress) (53) of dams. There were no significant differences in gene expression between the two cohorts of females at E16.5. Taken together, these data suggest a very subtle change in behaviour induced by carrying PegKO pups that are short-lived, suggesting that offspring Peg3 has minimal impact on maternal behaviour pre-natally.
In contrast, we observed a robust phenotypic difference in the behaviour of WTPeg3KO dams in the post-natal period. WT dams that carried and cared for litters of exclusively Peg3KO pups were slower to sniff and retrieve their pups (Fig. 3B and C), and displayed significantly greater anxiety in the EZM test (Fig. 4B and D). This was not associated with gross changes in maternal care as WTPeg3KO dams constructed a nest and exhibited normal crouching behaviour. Presence of generally normal maternal care was supported by no difference in the display of maternal aggression towards an intruder male. However, this task was performed on P7 and, while this time point has been used in other studies on maternal behaviour (33), it is possible that differences in aggression may be apparent at an earlier timepoint when maternal behavioural phenotypes are most intense in rodents (54,55). As expected food consumption in the postpartum period was increased in the two pregnant groups relative to non-pregnant females, but was not significantly different between WTWT and WTPegKO females. WTPeg3KO dams showed altered drinking behaviour. WTPeg3KO females consumed significantly less water that their WTWT counterparts, strictly in the postpartum period. This indicates that, while water consumption was reduced in WTPegKO females, caloric intake was equivalent between groups.
From this study, it is not possible to completely disentangle whether the altered post-natal behaviour of WTPeg3KO dams is due to abnormal placental function and aberrant maternal programming, or an altered post-natal environment due to the presence of Peg3KO pups. Our finding of reduced USVs by Peg3KO pups strongly supports the latter mechanism. Pups normally begin vocalizing, including ultrasonic whistles and clicks, shortly after birth with the rate of vocalizations peaking 7–8 days after birth. When separated from their mothers, USVs increase in rate and intensity, known as ‘whistles of loneliness’ (56). USVs are known to induce maternal behaviours such as nest building, pup retrieval and nursing (45,57–60). USVs are believed to initiate pup retrieval and once a pup is located, its retrieval is independent of USV (51). We asked whether the maternal behaviours in the WT mothers might be influenced USVs. We observed a 42% decrease in the USV number from the four pups that were used in the pup retrieval task during the period of separations. This corresponded with a 49% decrease in maternal vocalization, though this did not reach statistical significance. This suggests that the delay in pup retrieval may, in part, be due to reduced communication from the pups, a phenotype not previously reported for this mutation.
In mixed genotype litters, lethality associated with a Peg3 mutation is higher than that observed in single genotype litters (29). This is suggested to be as a consequence of increased competition with WT pups. A reduced demand for maternal care via reduced USV by Peg3KO pups may also influence this outcome. Intriguingly, reduced pup USVs may also be linked to the marked change in anxiety behaviour seen in WTPeg3KO dams. A lactation-associated reduction in anxiety has been observed both in rodents and humans, thought to facilitate offspring care (53,61). As we did not include mated but non-lactating controls in the anxiety assessment, we are unable to say that the increased anxiety in the WTPeg3KO dams relative to the WTWT dams is a failure to show the normal lactation-associated decrease in anxiety. However, the anxiolytic effect of lactation is known to be dependent on the activity of prolactin in the subventricular zone (61,62). Pup USV rapidly induces prolactin in lactating dams (63). Therefore, it is possible that the reduced USV production associated with a null mutation in offspring Peg3 increases maternal anxiety in the post-natal period as well as reducing pup retrieval.
It is important to note that all these studies were performed on a 129 strain background. Differences in the maternal behavioural phenotype between dams mutant for Peg3 have been reported which may be due to differences in strain background (28,30,32). However, in our study, the dams were genetically WT exposed to either genetically WT pups or Peg3 mutant pups. We ensured that all our WT dams were from our in house 129 colonies, i.e. genetically and environmentally matched, and that the Peg3KO line was also maintained on this same 129 background. All our dams’ phenotypes can confidently be attributed specifically to the genetic manipulation in the pups. It may be that studying this genetic modification on a different strain background would reveal more information related specifically to depression but, nonetheless, we have shown for the first time that the pups’ Peg3 expression status is important for maternal care.
Taken together, our data do not support our original idea, stemming from our previous study (24), that reduced placental expression of PEG3 contributes to prenatal depression in human pregnancies. It seems more probable, given the number of factors thought to influence PEG3 expression, that reduced placental PEG3 occurs in response to depression, with potentially adverse consequences for post-natal maternal anxiety and infant neurodevelopment. However, these findings must be interpreted with caution. Firstly, while mice are useful in modelling genetic alterations reported in various human conditions, the mouse and human placenta differ considerably as does the hormonal repetoire of pregnancy (64). Secondly, in our human study, placental PEG3 expression was reduced by a maximal 40% (24) and we do not know the PEG3 expression status in the infant whereas in the animal model, Peg3 expression is globally absent. Thirdly, while some aspects of human depression can be inferred from animal models including measures of helplessness, anhedonia, behavioural despair, alterations in sleep and appetite patterns (65), we were unable to use the full repertoire of behavioural assays because we were working with either pregnant or lactating females. Altered sleep patterns are a common feature of depression and we analysed circadian rhythmicity of activity over 5 days from two days before birth to P2 and did not find any difference in diurnal activity. We also analysed helplessness using the tail suspension task and did not find any evidence for a difference. However, for welfare reasons, we were unable to apply Lick-cluster analysis to measure anhedonia as used in adult non-pregnant mice (66) which may have provided additional weight to our findings. Finally, our human cohort identified lower PEG3 expression only in male placenta. Human pregnancies are generally singleton but mice have litters with both male and female pups. This may preclude the identification of sexually dimorphic effects of the placenta on maternal behaviour.
In conclusion, carrying and caring for Peg3KO pups leads to a number of changes in post-natal maternal behaviour. Some of these may be due to abnormal maternal programming by Peg3 expression in the fetally-derived placenta, although only subtle prenatal behavioural changes were found in WTPeg3KO dams and no differences were seen in hypothalamic and hippocampal gene expression. A factor that may contribute to the changes in post-natal maternal behaviour is the reduced USVs produced by Peg3KO pups which may elicit less prominent retrieval behaviour from the mother. This is contrast to imprinted Ube3a, where pups lacking this maternally expressed gene have increased USVs (67), paralleling findings in individuals with Angelman syndrome where UBE3A is the key candidate (68). Reduced isolation-induced USVs have been reported in a number of genetic mouse models of neurodevelopmental disorders such as autism spectrum disorder (ASD), most recently reported for the Foxp1 model (69). Prenatal depression has been linked to ASD, although several studies suggest this is related to prenatal antidepressant use (70). Given the association between maternal prenatal depression and reduced placental PEG3 expression in humans, these findings have intriguing implications for low maternal mood, exacerbation of maternal anxiety and neurodevelopmental outcomes in offspring.
Materials and Methods
Animals and husbandry
All animal studies and breeding were approved by the University of Cardiff ethical committee and performed under a UK Home Office project license (RMJ). Mice were housed on a 12-h light–dark cycle with lights coming on at 07.00 h with a temperature range of 21 °C ± 2 with free access to tap water and standard chow. The Peg3-targeted allele (28), provided by Professor Azim Surani, was bred to homozygosity on the 129S2/SvHsd background, and all studies were performed on this background. Genotyping was performed using primers CGTTGGCTACCCGTGATATT and TATGCACACAGCCTCTGCTC or by β-galactosidase staining as previously described (71).
Generation of experimental females
Litters were generated by natural mating Peg3−/− males or wild males (WT) with WT females. Embryonic stage was calculated by vaginal plug check and the day of birth was considered as post-natal day (P)0. On embryonic day (E)14.5 females were removed from home cage, weighted and placed inside a Phenotyper cage (Noldus, Netherlands). Cages were equipped with cameras in the roof for video recording. Activity was tracked using Ethovision XT software (Noldus, Netherlands). A separate cohort of females were sacrificed at E16.5 and hippocampi and hypothalami were isolated, snap frozen and stored at −80 °C for later RNASeq analysis. Dams with litter sizes between 4 and 10 live pups were used for analysis. Pregnant group sizes WTWTn = 14 and WTPeg3KOn = 14. A subset of females mated but did not become pregnant. These were included as a ‘not pregnant’ reference group (N = 7).
RNAseq
Total RNA was prepared from frozen mouse brain tissue samples using GenElute™ Mammalian Total RNA Miniprep Kit (Sigma, UK). RNA yield and quality [RNA integrity number (RIN)] were quantified using a Qubit 3.0 fluorometer. Input RNA yield ranged from 34 to 438 ng/μl. RIN values for all used were 8.5 or greater. Libraries were prepared with oligo dT priming using TruSeq Stranded mRNA Library Prep Kit (Illumina) and sequenced on an Illumina NextSeq500 using 75 base reads. Sequencing was performed in duplicate to normalise read depth to approximately 40 million reads per sample. Reads were aligned to the mouse genome (Mus_musculus.GRCm.38.88) with corresponding gene model annotation (Mus_musculus.GRCm38.88.gtf) by STAR (72). Overall read alignment rates were above 95% for all libraries. Differential gene expression was determined using DESeq2 1.0.19 (73).
Behavioural assays
Nest building
On E16.5 and P3 dams (and litter when present) were removed from the Phenotyper cage. Nest and bedding were discarded and replaced with three nestlets (Ancare, US) and one cardboard tube (International Product Supplies, UK). The litter was then returned to Phenotyper cage and video recording was initiated. Dams were reintroduced to the Phenotyper cage and allowed to build a nest. After 1 h, the quality of the nest was scored visually. This was a quantitative score determined by number of nestlets shredded to form a nest. A score from 0 to 3 was assigned each animal. Distance moved during this trial and visits to virtual ‘zones’ was calculated automatically using Ethovision XT software. At P3, maternal care and nest building behaviours were scored manually off line by a rater blind to genotype of the pups. Behaviours scored were arched nursing, licking and grooming of pups, contact with pups, nest building, self-grooming, eating and drinking. Latency to display maternal care was recorded; specifically this was determined to be latency to crouch over all pups and build and nest.
Elevated zero maze
On E17.5 and P4, dams were allowed to explore an EZM freely for 300 s. The EZM consisted of two open and two closed arms, in a circle 45 cm from the ground. Platform width was 5 cm and wall height in closed arms was 19 cm. Testing was carried out under low light conditions (230 lux on open sections) and all animals were placed in a closed arm at the beginning of a trial. Time spent in open arms, indicative of less anxious behaviour, was recorded automatically using Ethovision XT software.
Pup retrieval and ultrasonic vocalization recording
On P2 a dam’s litter was removed from the Phenotyper cage and placed in a standard home cage. Ultrasonic vocalizations (USVs) made by the dam for was recorded 180 s using Avisoft-UltraSoundGate 116Hb (Avisoft Bioacoustics e.K., Germany). The dam was then removed from the Phenotyper cage and placed in a standard home cage separate to pups. Where possible, two male and two female pups, determined visually by anogenital distance, were placed in Phenotyper cage opposite the nest and spaced apart, alternating male and female. USVs made by these four pups were simultaneously recorded for 180 s as above. Following this video recording was initiated and dam was reintroduced to the Phenotyper cage, indicating time zero. Time taken to sniff and retrieve each pup was recorded by experimenter and confirmed off line from video recordings. When all pups had been retrieved by the dam, remaining pups were returned to the Phenotyper.
Tail suspension
On P5 dams were removed from the Phenotyper cage for tail suspension testing. Dams had tape wrapped around their tail 1 cm from the tip of the tail, with 1 cm overlap of tape. The dam was suspended from a beam in front of a video recorder approximately 10 cm from nose to the surface. Trials lasted 300 s. Time spent immobile was scored manually offline.
Maternal aggression
Maternal aggression testing was carried out as described (33). Briefly, on P7 pups were removed from the Phenotyper cage, weighed and placed in a standard home cage. Video recording was started and a sexually experienced, vasectomised, male was introduced to Phenotyper cage containing the lactating dam. Behaviour of the dam was recorded manually offline by a scorer blind to the genotype of the litter. Behaviours scored were: Lunge at male, attack male, chase male, assume subordinate position (rear on hind legs, exposing underside), be mounted by male, self-grooming and staying on the nest.
Statistical analysis
Excluding RNASeq analysis detailed above, all statistical analysis was carried out using SPSS 20. For analysis of prenatal behaviour between WTWT, WTPeg3KO and mated but not pregnant females a series of one-way ANOVAs was carried out with Dunnett’s post hoc tests were appropriate (control group WTWT). For nest score analysis, a Kruskal-Wallis H test was performed on score categories. For analysis of food and drink consumption across pregnancy and the postpartum period a repeated measures ANOVA with DAY as the within subject variable, and LITTER SIZE as the covariable were performed. Post-natal behaviour between WTWTand WTPeg3KO dams was measured by ANOVA with LITTER SIZE as the covariable, excepting pup retrieval that was analysed using repeated measures ANOVA with PUP as the within subject variable, and LITTER SIZE as the covariable.
Supplementary Material
Supplementary Material is available at HMG online.
Supplementary Material
Acknowledgements
The Peg3 KO model was kindly provided by Professor Azim Surani. Vocalization assays were developed in consultation with Dr Stéphane Baudouin.
Conflict of Interest statement. None declared.
Funding
Medical Research Council grant MR/M013960/1 (GIMN, RMJ and ARI), Biotechnology and Biological Sciences Research Council grant BB/P002307/1 (HDJC, ARI and RMJ), Biotechnology and Biological Sciences Research Council grant BB/P008623/1 (DJH, ARI and RMJ). Funding to pay the Open Access publication charges for this article was provided by Cardiff RCUK Open Access.
References
- 1. Bauer A.P.M., Knapp M., Iemmi V., Adelaja B. (2014) London School of Economics and Political Science, L., UK. (ed.), in press.
- 2. Bennett H.A., Einarson A., Taddio A., Koren G., Einarson T.R. (2004) Prevalence of depression during pregnancy: systematic review. Obstet. Gynecol., 103, 698–709. [DOI] [PubMed] [Google Scholar]
- 3. Jones I., Chandra P.S., Dazzan P., Howard L.M. (2014) Bipolar disorder, affective psychosis, and schizophrenia in pregnancy and the post-partum period. Lancet, 384, 1789–1799. [DOI] [PubMed] [Google Scholar]
- 4. Biaggi A., Conroy S., Pawlby S., Pariante C.M. (2016) Identifying the women at risk of antenatal anxiety and depression: A systematic review. J. Affect. Disord., 191, 62–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Heron J., O'Connor T.G., Evans J., Golding J., Glover V., Team A.S. (2004) The course of anxiety and depression through pregnancy and the postpartum in a community sample. J. Affect. Disord., 80, 65–73. [DOI] [PubMed] [Google Scholar]
- 6. Pearson R.M., Melotti R., Heron J., Joinson C., Stein A., Ramchandani P.G., Evans J. (2012) Disruption to the development of maternal responsiveness? The impact of prenatal depression on mother-infant interactions. Infant. Behav. Dev., 35, 613–626. [DOI] [PubMed] [Google Scholar]
- 7. Berkowitz G.S., Wolff M.S., Janevic T.M., Holzman I.R., Yehuda R., Landrigan P.J. (2003) The World Trade Center disaster and intrauterine growth restriction. JAMA, 290, 595–596. [DOI] [PubMed] [Google Scholar]
- 8. Henrichs J., Schenk J.J., Roza S.J., van den Berg M.P., Schmidt H.G., Steegers E.A., Hofman A., Jaddoe V.W., Verhulst F.C., Tiemeier H. (2010) Maternal psychological distress and fetal growth trajectories: the Generation R Study. Psychol. Med., 40, 633–643. [DOI] [PubMed] [Google Scholar]
- 9. Khashan A.S., McNamee R., Abel K.M., Pedersen M.G., Webb R.T., Kenny L.C., Mortensen P.B., Baker P.N. (2008) Reduced infant birthweight consequent upon maternal exposure to severe life events. Psychosom. Med., 70, 688–694. [DOI] [PubMed] [Google Scholar]
- 10. Paarlberg K.M., Vingerhoets J.J.M., Passchier J., Dekker G.A., Heinen A.G.J.J., Geijn H.P. (1999) Psychosocial predictors of low birthweight: a prospective study. BJOG, 106, 834–841. [DOI] [PubMed] [Google Scholar]
- 11. Pritchard C.W., Teo P.Y. (1994) Preterm birth, low birthweight and the stressfulness of the household role for pregnant women. Soc. Sci. Med., 38, 89–96. [DOI] [PubMed] [Google Scholar]
- 12. Steer R.A., Scholl T.O., Hediger M.L., Fischer R.L. (1992) Self-reported depression and negative pregnancy outcomes. J.Clin. Epidemiol., 45, 1093–1099. [DOI] [PubMed] [Google Scholar]
- 13. Uguz F., Sahingoz M., Sonmez E.O., Karsidag C., Yuksel G., Annagur B.B., Annagur A. (2013) The effects of maternal major depression, generalized anxiety disorder, and panic disorder on birth weight and gestational age: a comparative study. J. Psychosom. Res., 75, 87–89. [DOI] [PubMed] [Google Scholar]
- 14. Liu Y., Murphy S.K., Murtha A.P., Fuemmeler B.F., Schildkraut J., Huang Z., Overcash F., Kurtzberg J., Jirtle R., Iversen E.S., Forman M.R., Hoyo C. (2012) Depression in pregnancy, infant birth weight and DNA methylation of imprint regulatory elements. Epigenetics, 7, 735–746. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Räikkönen K., Pesonen A.-K., O'Reilly J.R., Tuovinen S., Lahti M., Kajantie E., Villa P., Laivuori H., Hämäläinen E., Seckl J.R., Reynolds R.M. (2015) Maternal depressive symptoms during pregnancy, placental expression of genes regulating glucocorticoid and serotonin function and infant regulatory behaviors. Psychol. Med., 45, 3217–3226. [DOI] [PubMed] [Google Scholar]
- 16. Lahti M., Savolainen K., Tuovinen S., Pesonen A.-K., Lahti J., Heinonen K., Hämäläinen E., Laivuori H., Villa P.M., Reynolds R.M., Kajantie E., Räikkönen K. (2017) Maternal depressive symptoms during and after pregnancy and psychiatric problems in children. J. Am. Acad. Child. Adolesc. Psychiatry, 56, 30–39. e37. [DOI] [PubMed] [Google Scholar]
- 17. Van den Bergh B.R., Mulder E.J., Mennes M., Glover V. (2005) Antenatal maternal anxiety and stress and the neurobehavioural development of the fetus and child: links and possible mechanisms. A review. Neurosci. Biobehav. Rev., 29, 237–258. [DOI] [PubMed] [Google Scholar]
- 18. Talge N.M., Neal C., Glover V., Early Stress T.R., Prevention Science Network F., Neonatal Experience on C., Adolescent Mental H. (2007) Antenatal maternal stress and long-term effects on child neurodevelopment: how and why?. J. Child Psychol. Psychiatry, and Allied Disciplines, 48, 245–261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Molyneaux E., Poston L., Ashurst-Williams S., Howard L.M. (2014) Obesity and mental disorders during pregnancy and postpartum: a systematic review and meta-analysis. Obstet. Gynecol., 4, 857–867. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Tuovinen S., Aalto-Viljakainen T., Eriksson J.G., Kajantie E., Lahti J., Pesonen A.-K., Heinonen K., Lahti M., Osmond C., Barker D.J.P., Räikkönen K. (2014) Maternal hypertensive disorders during pregnancy: adaptive functioning and psychiatric and psychological problems of the older offspring. BJOG, 121, 1482–1491. [DOI] [PubMed] [Google Scholar]
- 21. Van Lieshout R.J., Robinson M., Boyle M.H. (2013) Maternal pre-pregnancy body mass index and internalizing and externalizing problems in offspring. Can. J. Psychiatry, 58, 151–159. [DOI] [PubMed] [Google Scholar]
- 22. Xiang A.H., Wang X., Martinez M.P., Walthall J.C., Curry E.S., Page K., Buchanan T.A., Coleman K.J., Getahun D. (2015) Association of maternal diabetes with autism in offspring. JAMA, 313, 1425–1434. [DOI] [PubMed] [Google Scholar]
- 23. Nomura Y., John R.M., Janssen A.B., Davey C., Finik J., Buthmann J., Glover V., Lambertini L. (2017) Neurodevelopmental consequences in offspring of mothers with preeclampsia during pregnancy: underlying biological mechanism via imprinting genes. Arch. Gynecol. Obstet., 295, 1319–1329. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Janssen A.B., Capron L.E., O'Donnell K., Tunster S.J., Ramchandani P.G., Heazell A.E., Glover V., John R.M. (2016) Maternal prenatal depression is associated with decreased placental expression of the imprinted gene PEG3. Psychol. Med., 46, 2999–3011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Kim J., Ekram M.B., Kim H., Faisal M., Frey W.D., Huang J.M., Tran K., Kim M.M., Yu S. (2012) Imprinting control region (ICR) of the Peg3 domain. Hum. Mol. Genet., 21, 2677–2687. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Thiaville M.M., Huang J.M., Kim H., Ekram M.B., Roh T.Y., Kim J. (2013) DNA-binding motif and target genes of the imprinted transcription factor PEG3. Gene, 512, 314–320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Lee S., Ye A., Kim J. (2015) DNA-binding motif of the imprinted transcription factor PEG3. PloS One, 10, e0145531.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Li L., Keverne E.B., Aparicio S.A., Ishino F., Barton S.C., Surani M.A. (1999) Regulation of maternal behavior and offspring growth by paternally expressed Peg3. Science, 284, 330–333. [DOI] [PubMed] [Google Scholar]
- 29. Kim J., Frey W.D., He H., Kim H., Ekram M.B., Bakshi A., Faisal M., Perera B.P., Ye A., Teruyama R. (2013) Peg3 mutational effects on reproduction and placenta-specific gene families. PloS One, 8, e83359.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Denizot A.L., Besson V., Correra R.M., Mazzola A., Lopes I., Courbard J.R., Marazzi G., Sassoon D.A. (2016) A novel mutant allele of Pw1/Peg3 does not affect maternal behavior or nursing behavior. PLoS Geneti., 12, e1006053.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Curley J.P., Pinnock S.B., Dickson S.L., Thresher R., Miyoshi N., Surani M.A., Keverne E.B. (2005) Increased body fat in mice with a targeted mutation of the paternally expressed imprinted gene Peg3. Faseb J., 19, 1302–1304. [DOI] [PubMed] [Google Scholar]
- 32. Curley J.P., Barton S., Surani A., Keverne E.B. (2004) Coadaptation in mother and infant regulated by a paternally expressed imprinted gene. Proc. Biol. Sci., 271, 1303–1309. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Champagne F.A., Curley J.P., Swaney W.T., Hasen N.S., Keverne E.B. (2009) Paternal influence on female behavior: the role of Peg3 in exploration, olfaction, and neuroendocrine regulation of maternal behavior of female mice. Behav. Neurosci., 123, 469–480. [DOI] [PubMed] [Google Scholar]
- 34. Frey W.D., Kim J. (2015) Tissue-specific contributions of paternally expressed gene 3 in lactation and maternal care of Mus musculus. PloS One, 10, e0144459.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Swaney W.T., Curley J.P., Champagne F.A., Keverne E.B. (2008) The paternally expressed gene Peg3 regulates sexual experience-dependent preferences for estrous odors. Behav. Neurosci., 122, 963–973. [DOI] [PubMed] [Google Scholar]
- 36. Hiby S.E., Lough M., Keverne E.B., Surani M.A., Loke Y.W., King A. (2001) Paternal monoallelic expression of PEG3 in the human placenta. Hum. Mol. Genet., 10, 1093–1100. [DOI] [PubMed] [Google Scholar]
- 37. John R., Hemberger M. (2012) A placenta for life. Reprod. Biomed. Online, 25, 5–11. [DOI] [PubMed] [Google Scholar]
- 38. Moore G.E., Ishida M., Demetriou C., Al-Olabi L., Leon L.J., Thomas A.C., Abu-Amero S., Frost J.M., Stafford J.L., Chaoqun Y.. et al. (2015) The role and interaction of imprinted genes in human fetal growth. Philos .Trans. R. Soc. Lond. B Biol. Sci., 370, 20140074.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Kumar N., Leverence J., Bick D., Sampath V. (2012) Ontogeny of growth-regulating genes in the placenta. Placenta, 33, 94–99. 10.1016/j.placenta.2011.11.018 [DOI] [PubMed] [Google Scholar]
- 40. Janssen A.B., Kertes D.A., McNamara G.I., Braithwaite E.C., Creeth H.D., Glover V.I., John R.M. (2016) A role for the placenta in programming maternal mood and childhood behavioural disorders. J. Neuroendocrinol., 28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Fuemmeler B.F., Lee C.T., Soubry A., Iversen E.S., Huang Z., Murtha A.P., Schildkraut J.M., Jirtle R.L., Murphy S.K., Hoyo C. (2016) DNA Methylation of regulatory regions of imprinted genes at birth and its relation to infant temperament. Genet. Epigenet., 8, 59–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Vidal A.C., Neelon S.E.B., Liu Y., Tuli A.M., Fuemmeler B.F., Hoyo C., Murtha A. p., Huang Z., Schildkraut J., Overcash F.. et al. (2014) Maternal stress, preterm birth, and DNA methylation at imprint regulatory sequences in humans. Genet. Epigenet., 6, 37–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Masemola M.L., van der Merwe L., Lombard Z., Viljoen D., Ramsay M. (2015) Reduced DNA methylation at the PEG3 DMR and KvDMR1 loci in children exposed to alcohol in utero: a South African Fetal Alcohol Syndrome cohort study. Front. Genet., 6, 85.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Vidal A.C., Murphy S.K., Murtha A.P., Schildkraut J.M., Soubry A., Huang Z., Neelon S.E., Fuemmeler B., Iversen E., Wang F.. et al. (2013) Associations between antibiotic exposure during pregnancy, birth weight and aberrant methylation at imprinted genes among offspring. Int. J. Obes. (Lond), 37, 907–913. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Dalgaard K., Landgraf K., Heyne S., Lempradl A., Longinotto J., Gossens K., Ruf M., Orthofer M., Strogantsev R., Selvaraj M.. et al. (2016) Trim28 haploinsufficiency triggers Bi-stable epigenetic obesity. Cell, 164, 353–364. 10.1016/j.cell.2015.12.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Vidal A.C., Semenova V., Darrah T., Vengosh A., Huang Z., King K., Nye M.D., Fry R., Skaar D., Maguire R.. et al. (2015) Maternal cadmium, iron and zinc levels, DNA methylation and birth weight. BMC Pharmacol. Toxicol., 16, 20.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Soubry A., Murphy S.K., Wang F., Huang Z., Vidal A.C., Fuemmeler B.F., Kurtzberg J., Murtha A., Jirtle R.L., Schildkraut J.M.. et al. (2015) Newborns of obese parents have altered DNA methylation patterns at imprinted genes. Int. J. Obes. (Lond), 39, 650–657. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Haggarty P., Hoad G., Campbell D.M., Horgan G.W., Piyathilake C., McNeill G. (2013) Folate in pregnancy and imprinted gene and repeat element methylation in the offspring. Am. J. Clin. Nutr., 97, 94–99. [DOI] [PubMed] [Google Scholar]
- 49. Shoji H., Kato K. (2006) Maternal behavior of primiparous females in inbred strains of mice: a detailed descriptive analysis. Physiol. Behav., 89, 320–328. [DOI] [PubMed] [Google Scholar]
- 50. Cohen-Salmon C. (1987) Differences in patterns of pup care in Mus musculus domesticus. VIII. Effects of previous experience and parity in XLII inbred mice. Physiol. Behav., 40, 177–180. [DOI] [PubMed] [Google Scholar]
- 51. Ehret G. (2005) Infant rodent ultrasounds – a gate to the understanding of sound communication. Behav. Genet., 35, 19–29. [DOI] [PubMed] [Google Scholar]
- 52. Broad K.D., Keverne E.B. (2011) Placental protection of the fetal brain during short-term food deprivation. Proc. Natl Acad. Sci. U S A, 108, 15237–15241. 10.1073/pnas.1106022108 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Hillerer K.M., Jacobs V.R., Fischer T., Aigner L. (2014) The maternal brain: an organ with peripartal plasticity. Neural. Plast., 2014, 574159.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Champagne F.A., Francis D.D., Mar A., Meaney M.J. (2003) Variations in maternal care in the rat as a mediating influence for the effects of environment on development. Physiol. Behav., 79, 359–371. [DOI] [PubMed] [Google Scholar]
- 55. Champagne F.A., Curley J.P., Keverne E.B., Bateson P.P. (2007) Natural variations in postpartum maternal care in inbred and outbred mice. Physiol. Behav., 91, 325–334. [DOI] [PubMed] [Google Scholar]
- 56. Zippelius H.-M., Schleidt W.M. (1956) Ultraschall-Laute bei jungen Mäusen. Die Naturwissenschaften, 43, 502–502. [Google Scholar]
- 57. Wohr M., Schwarting R.K. (2013) Affective communication in rodents: ultrasonic vocalizations as a tool for research on emotion and motivation. Cell. Tissue Res., 354, 81–97. [DOI] [PubMed] [Google Scholar]
- 58. Scattoni M.L., Crawley J., Ricceri L. (2009) Ultrasonic vocalizations: a tool for behavioural phenotyping of mouse models of neurodevelopmental disorders. Neurosci. Biobehav. Rev., 33, 508–515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. D'Amato F.R., Scalera E., Sarli C., Moles A. (2005) Pups call, mothers rush: does maternal responsiveness affect the amount of ultrasonic vocalizations in mouse pups? Behav. Genet., 35, 103–112. [DOI] [PubMed] [Google Scholar]
- 60. Okabe S., Nagasawa M., Kihara T., Kato M., Harada T., Koshida N., Mogi K., Kikusui T. (2013) Pup odor and ultrasonic vocalizations synergistically stimulate maternal attention in mice. Behav. Neurosci., 127, 432–438. [DOI] [PubMed] [Google Scholar]
- 61. Larsen C.M., Grattan D.R. (2010) Prolactin-induced mitogenesis in the subventricular zone of the maternal brain during early pregnancy is essential for normal postpartum behavioral responses in the mother. Endocrinology, 151, 3805–3814. 10.1210/en.2009-1385 [DOI] [PubMed] [Google Scholar]
- 62. Torner L., Toschi N., Pohlinger A., Landgraf R., Neumann I.D. (2001) Anxiolytic and anti-stress effects of brain prolactin: improved efficacy of antisense targeting of the prolactin receptor by molecular modeling. J. Neurosci., 21, 3207–3214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Hashimoto H., Saito T.R., Furudate S., Takahashi K.W. (2001) Prolactin levels and maternal behavior induced by ultrasonic vocalizations of the rat pup. Exp. Anim., 50, 307–312. [DOI] [PubMed] [Google Scholar]
- 64. Carter A.M., Enders A.C. (2004) Comparative aspects of trophoblast development and placentation. Reprod. Biol. Endocrinol., 2, 46.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Krishnan V., Nestler E.J. (2011) Animal models of depression: molecular perspectives. Curr. Top. Behav. Neurosci., 7, 121–147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. McNamara G.I., Davis B.A., Dwyer D.M., John R.M., Isles A.R. (2016) Behavioural abnormalities in a novel mouse model for Silver Russell Syndrome. Hum. Mol. Genet., 25, 5407–5417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Jiang Y-h., Pan Y., Zhu L., Landa L., Yoo J., Spencer C., Lorenzo I., Brilliant M., Noebels J., Beaudet A.L., Lau A.T.Y. (2010) Altered ultrasonic vocalization and impaired learning and memory in Angelman syndrome mouse model with a large maternal deletion from Ube3a to Gabrb3. PloS One, 5, e12278.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Isles A.R. (2011) Genomic imprinting; the cost of mother's care. Bioessays, 33, 924–926. 10.1002/bies.201100115 [DOI] [PubMed] [Google Scholar]
- 69. Frohlich H., Rafiullah R., Schmitt N., Abele S., Rappold G.A. (2017) Foxp1 expression is essential for sex-specific murine neonatal ultrasonic vocalization. Hum. Mol. Genet., 26, 1511–1521. [DOI] [PubMed] [Google Scholar]
- 70. Rai D., Lee B.K., Dalman C., Golding J., Lewis G., Magnusson C. (2013) Parental depression, maternal antidepressant use during pregnancy, and risk of autism spectrum disorders: population based case-control study. BMJ, 346, f2059.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71. John R.M., Ainscough J.F., Barton S.C., Surani M.A. (2001) Distant cis-elements regulate imprinted expression of the mouse p57 (Kip2) (Cdkn1c) gene: implications for the human disorder, Beckwith–Wiedemann syndrome. Hum. Mol. Genet., 10, 1601–1609. [DOI] [PubMed] [Google Scholar]
- 72. Dobin A., Davis C.A., Schlesinger F., Drenkow J., Zaleski C., Jha S., Batut P., Chaisson M., Gingeras T.R. (2013) STAR: ultrafast universal RNA-seq aligner. Bioinformatics, 29, 15–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. Love M.I., Huber W., Anders S. (2014) Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol., 15, 550.. [DOI] [PMC free article] [PubMed] [Google Scholar]
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