Abstract
The behavior of offspring results from the combined expression of maternal and paternal genes. Genomic imprinting silences some genes in a parent‐of‐origin specific manner, a process that, among all animals, occurs only in mammals. How genomic imprinting affects the behavior of mammalian offspring, however, remains poorly understood. Here, we studied how the loss of the paternally inherited gene Magel2 in mouse pups affects the emission of separation‐induced ultrasonic vocalizations (USV). Using quantitative analysis of more than 1000 USVs, we characterized the rate of vocalizations as well as their spectral features from postnatal days 6–12 (P6–P12), a critical phase of mouse development that covers the peak of vocal behavior in pups. Our analyses show that Magel2 deficient offspring emit separation‐induced vocalizations at lower rates and with altered spectral features mainly at P8. We also show that dams display altered behavior towards their own Magel2 deficient offspring at this age. In a test to compare the retrieval of two pups, dams retrieve wildtype control pups first and faster than Magel2 deficient offspring. These results suggest that the loss of Magel2 impairs the expression of separation‐induced vocalization in pups as well as maternal behavior at a specific age of postnatal development, both of which support the pups' growth and development.
Keywords: autism spectrum disorders, behavior development, genomic imprinting, offspring‐parent conflict, Prader Willi syndrome
The behavior of offspring results from the combined expression of maternal and paternal genes. Genomic imprinting silences some genes in a parent‐of‐origin specific manner, a process that, among all animals, occurs only in mammals. How genomic imprinting affects the behavior of mammalian offspring, however, remains poorly understood. Here we report that the loss of Magel2 impairs the expression of separation‐induced vocalization in mouse pups as well as maternal behavior, both of which support the pups' 2019; growth and development.
1. INTRODUCTION
For the normal development, mammalian offspring need copies from both maternal and paternal genomes. Some genes, however, are expressed in a parent‐of‐origin specific manner. In other words, some genes are always expressed when inherited from the mother and some genes are always expressed when inherited from the father. 1 , 2 , 3 The process that regulates the expression of genes in a parent‐of‐origin specific manner is called genomic imprinting. 4
Genomic imprinting depends on epigenetic modifications of the genome. These modifications do not alter the sequence of the DNA but the chemical structure of the DNA, thereby leading to altered gene expression. 1 , 4 For example, an imprinted gene can be silenced in the maternal genome, and only the paternal allele will be expressed in the offspring (or vice‐versa). Thus far, genomic imprinting has only been found in flowering plants and mammals. 1 , 2
The adaptive value of genomic imprinting remains a matter of intense theorization. A prevailing theory on the effects of genomic imprinting, known as the kinship theory, 5 , 6 , 7 posits that maternal genes balance the energy investment of the mother between offspring survival and her own while paternal genes favor offspring survival alone. For example, the expression of paternal genes in the offspring would favor growth, while the expression of maternal genes would stunt growth. 2 , 8 , 9 , 10 The influence of imprinted genes is not restricted to growth, however. Imprinted genes are also primarily involved in brain development and in social behaviors. 2 , 9 , 11 , 12 , 13
Consider, for example, a series of imprinted genes in human chromosome 15 that are paternally inherited. 14 , 15 The deletion of these paternally inherited genes in chromosome 15 leads to neurodevelopmental disorders, such as Prader‐Willi syndrome (PWS). PWS presents with hypotonia and poor feeding early in life, followed by hyperphagia, alteration in social behavior, and cognitive deficits. 16 , 17 It should be noted that because PWS involves several genes in human chromosome 15, it masks the relative contribution of single imprinted genes on the phenotype of the offspring. Among the PWS‐related genes, MAGEL2 is a candidate gene for some of the clinical features of PWS. Humans with loss‐of‐function mutations in MAGEL2 present clinical aspects of PWS and autism spectrum disorders, 18 , 19 suggesting that this single paternally inherited gene supports at least some of the developmental alterations found in PWS. In agreement with the clinical features of MAGEL2 deficiency in humans, Magel2 deficient mice show impairments in growth and adult social behaviors. 10 , 20 Despite these previous studies, a more systematic investigation of the effects of imprinted genes on behavior is necessary to understand the adaptive value of these genetic modifications in mammals.
We reasoned that investigating the effects of imprinted genes on offspring behavior during the early postnatal period—when the exchange of resources between the mother and the offspring is most important—can help shed light on the adaptive value of genomic imprinting. Towards this end, we studied how the loss of paternally inherited Magel2 affects the vocal behavior of mouse pups when separated from their dams, 21 , 22 , 23 , 24 as separation‐induced vocalizations signal the needs of the pups to the dams. 25 , 26 , 27 In contrast to human babies, mouse pups vocalize in the ultrasonic frequency range (30–120 kHz), 21 , 22 , 28 which humans cannot hear. In order to survey the vocal behavior of mice, we recorded the emission of ultrasonic vocalizations (USVs) when pups were separated from the home nest. We performed these studies at postnatal days 6, 8, 10, and 12, since it is during this phase of mouse development that the peak expression of separation‐induced vocalizations typically occurs. 22 , 23 , 29 We then used VocalMat 30 to perform quantitative analysis of mouse vocal behavior. Moreover, we employed a maternal retrieval assay to test the effects of the loss of paternally inherited Magel2 on maternal behavior towards the offspring. 31 Our analysis shows that in mouse pups the deficiency of Magel2 impairs the expression of separation‐induced vocalizations. This deficiency also reduces maternal retrieval behavior towards Magel2 deficient pups compared to nondeficient siblings.
2. RESULTS
2.1. Early waning of vocal behavior in Magel2 m+/p− deficient pups
To investigate the effects of paternally inherited Magel2 on the vocal behavior of infant mice, we crossed heterozygote males for Magel2 deficiency with wildtype females. From this cross, we generated Magel2 deficient offspring (Magel2 m+/p−) that carry the null allele from the father (p−) and the imprinted allele from the mother (m+). This cross also generates wildtype littermates (Magel2 m+/p+), used as experimental controls. As previously reported, 8 , 10 Magel2 m+/p− pups display lower body mass compared to controls (genotype: F 1,181 = 19.71, P < 10−4; age: F 3,181 = 69.64, p < 10−10; genotype x age: F 3,181 = 0.02, p = 0.99; two‐way ANOVA; Figure S1). Post hoc analysis shows a significant difference in body mass between genotypes only at P12 (control: 6.08 ± 0.14 g; Magel2 m+/p−: 5.51 ± 0.20 g; p = 0.04; Holm‐Šídák test; Figure S1).
We recorded the emission of USVs during 20 min of separation from the home nest at different postnatal ages (P6, P8, P10, and P12; Figure 1A). First, we analyzed the total number of USVs emitted during the period of separation using two‐way ANOVA. We found a significant effect of genotype, age, and interaction between genotype and age (genotype: F 1,181 = 20.61, p < 10−4; age: F 3,181 = 11.80, p < 10−6; genotype x age: F 3,181 = 3.90, p = 0.01; Figure 1B). Post hoc analysis (Holm‐Šídák test) shows that the total number of USVs is similar among groups at P6 (control: 991 ± 139 USVs; Magel2 m+/p−: 787 ± 130 USVs; p = 0.75), P10 (control: 503 ± 45 USVs; Magel2 m+/p− : 466 ± 70 USVs; p = 0.98), and P12 (control: 594 ± 71 USVs; Magel2 m+/p−: 345 ± 46 USVs; p = 0.06) (Figure 1B). Compared to controls, however, Magel2 m+/p− pups show a ≈ 53% reduction in the emission of USVs at P8 (control: 1045 ± 100 USVs; Magel2 m+/p−: 495 ± 65 USVs; p < 10−4). We also analyzed the data in 5‐minute intervals and found similar effects of Magel2 deficiency on the rate of vocalizations (Figure S2). Moreover, separating our analysis in females and males show similar effects of genotype and age (Figure 1C, D and Table S1). (Because we did not find differences in the rate of vocalization, we have pooled males and females in all further analysis). In sum, our results thus far show age‐specific reductions in the emission of USVs in Magel2 m+/p− mice, suggesting a nonsex specific effect for paternally inherited Magel2 on the vocal behavior of the offspring.
The emission of USVs occurs when the breathing musculature contracts, expelling air from the lungs and propelling it through the larynx. 32 , 33 Since previous reports found that Magel2 m+/p− mice display hypotonia, 32 we put forward the hypothesis that the low rate of USV emission in Magel2 deficient pups is due to a lower capacity to expel air from the lungs. To rule out this hypothesis, we measured the intensity (or volume, in decibels) of the USVs. Since the intensity of the USVs relates to the pressure by which the air is expelled through the larynx, 33 a lower intensity is expected in cases of hypotonia. This analysis shows that the intensity of the emitted USVs between Magel2 m+/p− mice and controls is similar in all ages tested (genotype: F 1,181 = 2.67, p = 0.10; age: F 3,181 = 2.33, p = 0.08; genotype x age: F 3,181 = 0.78, p = 0.51; two‐way ANOVA; Figure 1E). Thus, hypotonia does not seem to be a factor of primary significance for the lower rate of USV emission in Magel2 m+/p− mice.
Drops in body temperature in immature mouse pups can influence the emission of USVs. 34 , 35 For example, previous reports show that drops in body temperature during separation inversely correlates with the rate of emission of USVs in mice. 34 , 35 Based on these observations, in a cohort of pups, we tested their body surface temperature at the end of the 20‐minute separation period using thermal imaging. This analysis shows that the body temperature of Magel2 m+/p− mice and controls is similar in all ages tested (genotype: F 1,26 = 0.19, p < 0,67; age: F 2,37 = 80.70, p < 10−10; genotype x age: F 2,38 = 0.02, p = 0.30; two‐way ANOVA; Figure 1F). Thus, we concluded that an altered capacity to maintain body temperature is not a causal (or confounding) factor that explains the differences in the emission of USVs between Magel2 m+/p− and control pups.
2.2. Magel2 m+/p− mice emit vocalizations with distinct spectral features
In addition to the rate of separation‐induced vocalizations, the spectral features of the USVs also correlate with altered maternal care. 36 , 37 , 38 To test the extent to which Magel2 deficiency affects the spectral features of USVs across ages, we used two‐way ANOVA to analyze the frequency characteristics (pitch) and duration (Figure 2A) of USVs. 30 We found significant effects of genotype and age for maximal frequency (genotype: F 1,181 = 20.51, p < 10−4; age: F 3,181 = 3.23, p = 0.02; genotype x age: F 3,181 = 6.18, p < 10−3; Figure 2B), bandwidth (genotype: F 1,181 = 9.91, p < 10−2; age: F 3,181 = 6.97, p < 10−3; genotype x age: F 3,181 = 5.92, p < 10−3; Figure 2E), and duration (genotype: F 1,181 = 4.08, p = 0.04; age: F 3,181 = 6.35, p < 10−3; genotype x age: F 3,181 = 2.05, p = 0.11; Figure 2F). In addition, we found a significant effect of genotype for mean frequency (genotype: F 1,181 = 4.86, p = 0.02; age: F 3,181 = 0.24, p = 0.87; genotype x age: F 3,181 = 0.41, p = 0.74; Figure 2D), but not for minimal frequency (genotype: F 1,181 = 0.47, p = 0.47; age: F 3,181 = 1.96, p = 0.12; genotype x age: F 3,181 = 0.48, p = 0.69; Figure 2C). We then used post hoc analysis (Holm‐Šídák test) and found that at P8—but not at P6, P10, or P12—Magel2 m+/p− mice show significant differences compared to control mice in maximal frequency, bandwidth, and duration (see panels plotting the 95% confidence intervals in Figure 2).
In addition to the main frequency component, USVs can contain harmonics (Figure 2G). We calculated the percentage of USVs with harmonics and found a significantly lower number in Magel2 m+/p− mice compared to controls at P8 (control: 9.0 ± 1.7%; Magel2 m+/p−: 3.5 ± 0.8%; U = 145, p 2‐tailed = 0.002, Mann–Whitney test; Figure 2H) but not at P6 (control: 4.7 ± 0.9%; Magel2 m+/p−: 3.8 ± 0.6%; U = 142.5, p 2‐tailed = 0.93, Mann–Whitney test; Figure 2H), P10 (control: 5.8 ± 0.9%; Magel2 m+/p−: 6.1 ± 1.2%; U = 240, P 2‐tailed = 0.98, Mann–Whitney test; Figure 2H), or P12 (control: 3.6 ± 0.7%; Magel2 m+/p−: 5.0 ± 1.5%; U = 408.5, p 2‐tailed = 0.98, Mann–Whitney test; Figure 2H). In sum, these results suggest that the loss of paternally inherited Magel2 in mice causes discrete changes in the features of separation‐induced vocalizations that are most evident at postnatal day eight.
2.3. Discrete changes in the use of syllable types by Magel2 m+/p− mice
Mouse pups emit USVs of distinct classes—that is, syllable types. Thus, the emission of different syllable types could explain the discrete changes in the spectro‐temporal features of USVs in Magel2 m+/p−. 28 , 30 , 39 We used a validated software to automatically categorize each USV into one of 11 syllable types based on the morphology of the main component of the vocalization (Figure 3A, B). 30 The output of the method was the probability for each USV to be of a certain syllable type. The highest probability (P 1) defined the syllable type for a given USV (Figure 3A). The percent use of each syllable type per recording was compared between genotypes at each age using two‐way ANOVA. Using this approach, we did not find any significant differences in the distribution of syllable types emitted by control and Magel2 m+/p− mice at P6 (genotype: F 1,374 = 2.5 × 10−16, p > 0.99; class: F 10,374 = 93.25, p < 10−4; genotype × class: F 10,374 = 1.00, p = 0.44) and P12 (genotype: F 1,616 = 7.7 × 10−16, p > 0.99; class: F 10,616 = 278, p < 10−4; genotype × class: F 10,616 = 0.81, p = 0.62; Figure 3C, F). At P8, however, Magel2 m+/p− pups emit vocalizations of different syllable types (genotype: F 1,539 = 2.2 x 10−15, p > 0.99; class: F 10,539 = 167, p < 10−6; genotype x class: F 10,539 = 9.51, p < 10−6; Figure 2D), which include: 55% less USVs of the type chevron (control: 9.0 ± 1.6%; Magel2 m+/p−: 4.0 ± 0.01%; p = 0.02, Holm‐Šídák test); 44% less USVs of the type step‐up (control: 14.3 ± 1.4%; Magel2 m+/p−: 8.1 ± 1.3%; p < 10−3, Holm‐Šídák test); 36% more USVs of the type flat (control: 9.6 ± 0.9%; Magel2 m+/p−: 15.2 ± 1.2%; p = 0.007, Holm‐Šídák test); and 33% more USVs of the type short compared to controls (control: 23.6 ± 1.8%; Magel2 m+/p−: 35.5 ± 2.0%; p < 10−4, Holm‐Šídák test; Figure 3D). At P10, we also identified discrete differences in the emission of USVs of different syllable types between groups (genotype: F 1,462 = 8.1 × 10−17, p > 0.99; class: F 10,462 = 149, P < 10−4; genotype × class: F 10,462 = 2.11, p = 0.02; Figure 2E): Magel2 m+/p− pups emit 19% less down frequency modulation (control: 31.0 ± 2.1%; Magel2 m+/p−: 25.0 ± 1.5%; P = 0.02; Holm‐Šídák test) and emit 53% more up frequency modulation (control: 4.8 ± 0.8%; Magel2 m+/p−: 10.3 ± 2.0%; p = 0.04; Holm‐Šídák test; Figure 3E). (Table S1 provides a detailed analysis of the spectro‐temporal features of each syllable type across all ages tested in controls and Magel2 m+/p− pups).
In summary, we found that Magel2 m+/p− mice at P8 use simpler vocalizations that fall under the ‘flat’ and ‘short’ classifications instead of multicomponent USVs. These findings are in line with our previous results (Figures 1, 2) demonstrating that the largest differences in vocal behavior occur in eight‐day‐old Magel2 m+/p− pups.
2.4. Altered vocal repertoire of Magel2 m+/p− mice
As stated above, the vocal analysis pipeline outputs the probability for each USV to be classified as each of the 11 syllable types (P 1, P 2 , P 3 , … P 11; Figure 3A, B). This distribution of probabilities allows the qualitative and quantitative comparison of the vocal classification among groups. 30 By taking into account the distribution of probabilities to classify each USV, it is possible to estimate how similar the vocal repertoire of one group of mice is to another group. To compare the vocal repertoire of mice across all ages studied, we used diffusion maps—a dimensionality reduction technique that decreases the number of dimensions of the probability distribution from 11 classes to three dimensions in a Euclidean space (Figure 4A). 30 Using pairwise comparisons (Figure 4B), we estimated the similarity between the vocal repertoire of mice of different ages and genotypes. Using this method, we found that control pups at P6 and P8 (Cohen's coefficient: κ = 0.99) and control pups at P10 and P12 (Cohen's coefficient: κ = 0.95) display vocal repertoires that are similar to each other (Figure 4C, D). These two age groups (P6–P8 and P10–P12), however, present lower pairwise similarities when compared to each other with κ ranging from 0.67 to 0.77 (Figure 4E). These results suggest that the vocal repertoire of control pups undergoes significant changes between P8 and P10.
Next, we analyzed the same transitions in the vocal repertoire of Magel2 m+/p− pups. The comparison between the vocal repertoire of Magel2 m+/p− pups at P6 and P8 show lower pairwise similarity (κ = 0.80) compared to control pups (Figure 4F). In contrast to littermate controls, Magel2 m+/p− pups at P8 show a higher pairwise similarity with P10 (κ = 0.84) and P12 (κ = 0.99) pups (Figure 4F–H). Finally, we directly compared the vocal repertoire of Magel2 m+/p− and control pups. Magel2 m+/p− pups, at P6, show high pairwise similarity when compared to controls at P6 (κ = 1.00) and P8 (κ = 1.00), but not at P10 (κ = 0.80) and P12 (κ = 0.72). At P8, Magel2 m+/p− pups show relatively low pairwise similarities with control pups at P6 (κ = 0.76) and P8 (κ = 0.78) but show high similarities with control pups at P10 (κ = 1.00) and P12 (κ = 0.95). At P10, Magel2 m+/p− pups show relatively lower pairwise similarities with control pups at P6 (κ = 0.67) and P8 (κ = 0.70) than at P10 (κ = 0.82) and P12 (κ = 0.81). This pattern is more evident in P12 Magel2 m+/p− pups, which show lower pairwise similarities with control pups at P6 (κ = 0.74) and P8 (κ = 0.75) than at P10 (κ = 0.99) and P12 (κ = 0.97).
Altogether, these analyses suggest a different dynamic for the ontogeny of the vocal repertoire of Magel2 m+/p− compared to control pups—with Magel2 m+/p− pups at a younger age (i.e., P8) resembling control pups at an older age (i.e., P10‐P12). Thus, the period of development between P8 and P10 seems to mark an important period for the effect of the maternally imprinted gene, Magel2, on the vocal behavior of the offspring.
2.5. Dams prioritize their control offspring compared to Magel2 m+/p− in a retrieval test at postnatal day eight
The emission of vocalization by infants draws caregiver's attention and care 25 , 26 , 27 , 31 while genetically mute mouse pups are neglected by their dams. 40 Together, these observations led us to speculate that the deficiency of Magel2 in pups, which alters vocal behavior, could lead to altered maternal behavior. In order to test this idea, we used a behavior assay to quantify maternal behavior towards their own control and Magel2 m+/p− offspring. In this assay, dams are first placed in the middle of a three‐chamber apparatus that contains their home nest in the middle chamber (Figure 5A). After a period of acclimation, in the next stage, one pup of each genotype is placed at the opposite ends of the apparatus. The time (latency) to retrieve each pup back to the nest is then recorded (Figure 5A).
We initially evaluated whether dams show a preference to retrieve pups from one of the genotypes at postnatal day eight. This analysis shows that control pups were more likely to be retrieved first (11/15 trials; 73.3%) compared to Magel2 m+/p− pups (4/15 trials; 26.7%; Figure 5B and Table S2). Accordingly, on average, the latency to retrieve control pups was less than half of the latency to retrieve Magel2 m+/p− pups (control: 51.9 ± 12.9 s; Magel2 m+/p−: 104.6 ± 19.1 s; W = 82, P 2‐tail = 0.01, Wilcoxon matched‐pairs signed rank test; Figure 5C). Because 11 out of 15 Magel2 m+/p− pups were retrieved second, we also ran experiments placing wildtype control pups in both ends of the apparatus to compare the latency to retrieve the second pup in each of the experiments. Using this comparison, dams took twice as long to retrieve Magel2 m+/p− pups compared to control pups (control: 64.57 ± 12.3 s; Magel2 m+/p−: 126.3 ± 22.23 s; t 14.86 = 2.21, P 2‐tail = 0.04, Welch's t test; Figure 5D). We also performed similar experiments with pups at postnatal day six and did not find significant differences in maternal retrieval behavior (Figure S4). In summary, the deficiency of Magel2 in offspring alters not only offspring behavior but also the behavior of the mother towards their own offspring.
3. DISCUSSION
In this study, we recorded and analyzed vocalizations from Magel2 deficient pups and their wildtype littermates at postnatal days 6, 8, 10, and 12. Using custom‐built software to automatically quantify vocalizations, 30 we counted the number of vocalizations and measured the spectro‐temporal features of each vocalization, including its intensity, duration, bandwidth, mean frequency, maximum frequency, minimum frequency, and use of harmonic components. We also assigned a syllable type for each vocalization based on its morphological features in the time‐frequency plane. We used further quantitative methods to analyze the vocal repertoire of mice across groups and ages. These methods shed light on discrete changes in the development of separation‐induced vocalizations in Magel2 deficient mice that are more pronounced at postnatal day eight.
With regard to the vocal behavior of wildtype mice, our results demonstrate that the emission of separation‐induced USVs gradually decreases from P6–P8 to P10–P12. This result agrees with previous studies, which show an inverse‐U shape profile for separation‐induced vocalizations in mice during the first 2 weeks of life. 22 , 23 , 29 Moreover, we found that wildtype mice use simpler vocalizations at older ages (P10‐P12) compared to younger ages (P6‐P8). These findings in wildtype mice provide the basis for comparisons with Magel2 deficient pups.
Magel2 deficient pups show different dynamics for separation‐induced vocalizations. At P6, these pups vocalize comparably to wildtype littermates, but at P8, their vocal number and features resemble wildtype littermates that are older (P10–P12). The sex of the pups and their body temperature at the end of the test could not explain these differences. An explanation for these results is that Magel2 deficient pups are less responsive to certain social cues. In socially isolated pups, therefore, the deprivation of these cues would not induce the behavior to the same degree as in wildtype pups. An alternative explanation for these results is that for Magel2 deficient pups, vocal behavior does not have the same fitness value compared to wildtype pups. In the latter case, the behavior begins to change at younger ages due to the lack of reinforcement (maternal care). While it is difficult to prove these interpretations experimentally, the delayed latency for dams to retrieve Magel2 deficient pups at P8 compared to wildtype littermates supports the idea that the deficiency of this imprinted gene impairs the fitness of the offspring. Moreover, the fact that Magel2 deficient pups have lower body mass during early development further suggests a decrease in the fitness of these animals. Whether the change in vocal behavior and the decrease in body mass and maternal behavior are causally related warrants further investigation.
Interestingly, the deficiency of Magel2 is not the only example of an imprinted gene affecting the emission of USVs by mouse pups. Consider, for example, previous studies of other imprinted genes. Deletion of the paternally inherited imprinted gene Peg3 lowers vocal rate in mouse pups. 9 Conversely, deletion of the maternally inherited genes Gabrb3 and Ube3a increases vocal rate. 13 Moreover, duplication of the paternal imprint loci on chromosome 15 increases the separation‐induced vocalization of mouse pups. 41 Based on these findings, it is tempting to speculate that imprinted genes inherited from the father increase vocal rate while imprinted genes inherited from the mother decrease vocal rate. To test this generalization more formally, future studies will need to test the effect of all imprinted genes on the vocal behavior of the offspring.
Magel2 m+/p− pups at P8 vocalize at a lower rate compared to their littermate controls, mainly emitting short and flat vocals similar to those of older pups. Moreover, when we estimate the similarity between the vocal repertoire of mutant and wildtype pups across ages tested, we find that, at P8, Magel2 m+/p− pups emit USVs that are most similar to those produced by wildtype pups at P10 and P12. The reason for the specific change in vocal behavior at postnatal day 8 is not known. Further studies are necessary to describe whether deviation in USV emission for Magel2 deficient mice represents some kind of curve shift in the behavior. For example, it could be that the critical phase in which pups use separation‐induced vocalization to gain maternal attention is shortened in offspring deficient for Magel2. Interestingly, reduction in USV rate is commonly found in animal models of autism spectrum disorder—a neurodevelopmental disorder highly comorbid with MAGEL2m+/p− patients 16 —that also present deficits in social behavior. Thus, our findings suggest that alteration in the emission of USVs is part of a social behavior deficit in Magel2 m+/p− pups that continues into adulthood. 20 , 26 , 41
Two methodological aspects of this study are important to highlight. First, the emission of separation induced USVs was measured after postnatal day six, disregarding the analysis of this behavior at younger ages. This age was chosen, however, because at younger ages mouse pups cannot maintain their body temperature, 42 adding an additional stressor and confounder to the measurements of vocal behavior. Second, the emission of USVs was recorded for 20 min, which provides robust power to the analysis of vocal behavior due to the high number of USVs recorded. However, this period of recording is substantially longer than what has been typically used in the past, with separation protocols ranging from 3–5 min. 23 , 37 Thus, this prolonged separation could add an additional stressor to the pups that could potentially alter the results. Three lines of evidence, however, suggest otherwise: (1) Data analyzed in 5‐minute bins show the same changes in the rate of vocalizations as the data analyzed for the total of the 20 min. (2) Prolonged separation of up to 90 min does not trigger a hypothalamic–pituitary axis response, with pups showing no increase in corticosterone levels. 39 (3) Testing pups only one or repeatedly did not alter the vocal behavior (Figure S3). Thus, the additional time of recording used in this study does not seem to significantly affect the behavior of the pups, while adding more power to the analysis of this behavior.
In broader terms, we posit that our findings support the theory that genomic imprinting evolved to balance the cost of the phenotype for the offspring and for the mother, as well as to balance the best interests of mothers and fathers in altering offspring's phenotype. 6 , 7 In the case of paternally inherited genes, the expression of these genes increases vocal behavior, thus, increasing maternal care and favoring the use of maternal resources, which is in the best interests of the father. Conversely, the loss of these paternally inherited genes decreases vocal behavior and, consequently, the demand for maternal care, thus, conserving maternal resources, which is in the best interests of the mother. 2 , 6 , 7 This theoretical framework is supported by our findings in a test that measures the latency to retrieve isolated pups back to the home nest, which demonstrate impaired maternal care towards Magel2 deficient pups compared to wildtype littermates. 2 , 9 , 40 As alluded above, future studies should test this theoretical view more directly by systematically investigating the effect of imprinted genes on the behavior of offspring and on the behavior of mothers towards their offspring. These efforts will help elucidate behavior phenotypes that occur in neurodevelopmental disorders as well as expand our understanding of the evolutionary adaptation of genomic imprinting.
4. MATERIAL AND METHODS
4.1. Experimental models and subject details
All preweaning mice used in the experiments were 6 to 12 days old from both sexes. Litters were provided from 9 separate breeding pairs. Separate litters were used for isolation and maternal retrieval tests (for further details Table S1 and S2). Dams used were 2 to 6 months old. To generate experimental pups, we used the following cross: Magel2 m+/p− (Jax #009062) dams bred with C57BL/6J (Jax #000664) males. Offspring from this cross were either Magel2 m+/p− or wildtype (Magel2 m+/p+). All mice were kept in temperature‐ and humidity‐controlled rooms, in a 12/12 hr. light/dark cycle, with lights on from 7:00 AM–7:00 PM. Studies took place during the light cycle. Food (Teklad 2018S, Envigo) and water were provided ad libitum. All procedures were approved by IACUC (Yale University).
4.2. Separation‐induced vocalization
Pups from the same litter were placed individually in a soundproof chamber containing fresh bedding material. 23 , 39 An UltraSoundGate Condenser Microphone CM 16 (Avisoft Bioacoustics, Berlin, Germany) was placed 10 cm above the recording chamber and connected to the UltraSoundGate 416 USGH device to record ultrasonic vocalizations. The recording sessions lasted 20 min. Four to eight chambers were recorded simultaneously. After testing, mice were placed back in their home cage with the dam. Pups were tested at postnatal days 6, 8, 10, and 12. The number of audio recordings per age and per sex were as follows: control (P6 [female, n = 9; male, n = 7], P8 [female, n = 14; male, n = 9], P10 [female, n = 10; male, n = 13], and P12 [female, n = 15; male, n = 15]) and Magel2 m+/p− (P6 [female, n = 10; male, n = 10], P8 [female, n = 15; male, n = 13], P10 [female, n = 11; male, n = 9], and P12 [female, n = 16; male, n = 12)]. Because pups that were naïve for the test—only tested at one specific age—show similar results as pups tested at multiple ages (Figure S3, similar to previous findings 43 , 44 ), we pooled all mice together for our analysis.
4.3. Vocalization analysis
Ultrasonic vocalizations were automatically extracted from audio recordings using a custom‐built tool. 30 We measured USVs that occurred above 45 kHz, as in our laboratory we only find very rare USVs in the 30–45 kHz range. We manually validated 32 audio recordings in this study to identify USVs within the 30–45 kHz range and found a median of 0% (and a mean of 0.15%) USVs per recording with a 95% CI of [0, 0.23] (in %). Due to the rarity of these USVs and the added difficulty of identifying them using automated tools because of audible noise that projects into the ultrasonic space, we did not consider in our analysis USVs that occurred below 45 kHz. In brief, audio recordings were converted from the time‐domain to the frequency‐domain using a 1024‐point fast Fourier transform (FFT) through a 512‐width hamming window with 50% overlap. Spectrograms were computed from the FFT and processed as images. Each pixel in the spectrogram corresponded to the intensity of each time‐frequency component. Next, we applied a series of image‐processing techniques (e.g., contrast enhancement, binarization, median filter, and morphological operations) to obtain segmentation of candidate vocalizations. A single spectrogram was generated for each candidate vocalization detected. Candidate vocalizations were classified as noise or real vocalization using a local median noise filter. The remaining vocalization candidates are further labeled under one of 11 call type classifications 28 , 30 , 39 using a convolutional neural network (CNN), or as noise. The CNN was trained using a curated vocalization dataset, containing over 20,000 noise samples and 40,000 vocalization samples. Finally, the tool produces one spectrogram centralized on each vocalization for visual inspection, and a table (xlsx format) containing spectro‐temporal features for each USV, such as time, duration, bandwidth, frequency, and intensity (minimum, mean, and maximum) values.
4.4. Temperature measurements
In some trials, surface body temperature was recorded after the 20‐minute isolation period using infrared thermography. Briefly, pups were recorded using an infrared thermal camera (FLIR T450, FLIR Systems, Oregon, U.S.) positioned 20 cm above the chamber for a period of 30 s. The body temperature was calculated by integrating the maximum temperature measured at each frame of the 30 s recording.
4.5. Maternal retrieval test
The maternal preference test was performed in a three‐chamber apparatus (65 × 42 × 23 cm) and comprised of three stages: Stage 1—acclimation: The dam was allowed to explore the apparatus without the presence of pups for 5 min. In the middle of the apparatus, home cage nesting under an infrared igloo. Stage 2—exploration: Two P8 mice were placed on each side of the apparatus and the dam was allowed to explore the pups for 5 min. Stage 3—preference: Dam was recorded while she retrieved pups back to her home cage nesting. Groups were randomly alternated between both sides to avoid preference for one side of the chamber. Latency to retrieve each pup was timed from videos taken of the retrieval tests. Summary of results found in Table S2.
4.6. Quantification and statistical analysis
Prism 8.0 or above was used to analyze data and plot figures. Shapiro–Wilk normality test was used to assess normal distribution of the data. To analyze differences in the use of harmonics, we used the nonparametric Mann–Whitney Test with Bonferroni correction to find statistically different effects. Comparison of diffusion maps were analyzed through pairwise comparison using Cohen's kappa coefficient. Maternal retrieval latency for retrieval of each pup from the start of test used Wilcoxon test. Analysis of second retrieval latency from first retrieval was calculated using Welch's t test. The rest of the data was analyzed using two‐way ANOVA or mixed‐effects analysis. Sidak's multiple comparisons test was used to find post hoc differences among groups and to calculate the 95% confidence intervals to report effect size. In the text, values are provided as mean ± SEM. p < 0.05 was considered statistically significant and, when necessary and as described above, was corrected using Bonferroni's method. Statistical data are provided in text and in the figures.
AUTHOR CONTRIBUTIONS
Marcelo O. Dietrich and Gabriela M. Bosque Ortiz conceived the hypothesis, designed the study and wrote the manuscript. Gabriela M. Bosque Ortiz performed experiments. Gabriela M. Bosque Ortiz and Gustavo M. Santana analyzed and plotted the data. All authors read and edited the manuscript.
Supporting information
ACKNOWLEDGMENTS
We thank the Dietrich Lab members for critical feedback on the project and the manuscript. Special thanks to: Delva Leão for her contribution to the data analysis; Jeremy Bober for helping with animal maintenance and care; as well as Antonio Fonseca who developed VocalMat software used for the analysis of vocal recordings. We thank David Gillich, Susan Andranovich, Valeria Krizsan, and Vickie Clark for administrative support. Marcelo O. Dietrich was supported by the National Institute of Mental Health of the National Institutes of Health under Award Number (R01MH125008) and by a grant of the Foundation for Prader‐Willi Research. Gabriela M. Bosque Ortiz was supported by the HHMI Gilliam Fellowship. Gustavo M. Santana was supported by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior ‐ Brasil (CAPES). We thank David Bruin for copyediting the manuscript. The authors declare no conflict of interest.
Bosque Ortiz GM, Santana GM, Dietrich MO. Deficiency of the paternally inherited gene Magel2 alters the development of separation‐induced vocalization and maternal behavior in mice. Genes, Brain and Behavior. 2022;21(1):e12776. doi: 10.1111/gbb.12776
Funding information Foundation for Prader‐Willi Research; Howard Hughes Medical Institute, Grant/Award Number: Gilliam Fellowship; National Institute of Mental Health, Grant/Award Number: R01MH125008
DATA AVAILABILITY STATEMENT
Data available in article supplementary material. Audio files deposited in the MouseTube repository. Any other data are available on request from the corresponding author.
REFERENCES
- 1. Barlow DP, Bartolomei MS. Genomic imprinting in mammals. Cold Spring Harb Perspect Biol. 2014;6(2):1‐17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Perez JD, Rubinstein ND, Dulac C. New perspectives on genomic imprinting, an essential and multifaceted mode of epigenetic control in the developing and adult brain. Annu Rev Neurosci. 2016;39:347‐384. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Ferguson‐Smith AC. Genomic imprinting: the emergence of an epigenetic paradigm. Nat Rev Genet. 2011;12(8):565‐575. [DOI] [PubMed] [Google Scholar]
- 4. Morison IM, Ramsay JP, Spencer HG. A census of mammalian imprinting. Trends Genet. 2005;21(8):457‐465. [DOI] [PubMed] [Google Scholar]
- 5. Haig D. Coadaptation and conflict, misconception and muddle, in the evolution of genomic imprinting. Heredity (Edinb). 2014;113(2):96‐103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Patten MM, Ross L, Curley JP, Queller DC, Bonduriansky R, Wolf JB. The evolution of genomic imprinting: theories, predictions and empirical tests. Heredity (Edinb). 2014;113(2):119‐128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Spencer HG, Clark AG. Non‐conflict theories for the evolution of genomic imprinting. Heredity (Edinb). 2014;113(2):112‐118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Bervini S, Herzog H. Mouse models of Prader‐Willi syndrome: a systematic review. Front Neuroendocrinol. 2013;34(2):107‐119. [DOI] [PubMed] [Google Scholar]
- 9. Li L, Keverne EB, Aparicio SA, Ishino F, Barton SC, Surani MA. Regulation of maternal behavior and offspring growth by paternally expressed Peg3. Science. 1999;284(5412):330‐333. [DOI] [PubMed] [Google Scholar]
- 10. Bischof JM, Stewart CL, Wevrick R. Inactivation of the mouse Magel2 gene results in growth abnormalities similar to Prader‐Willi syndrome. Hum Mol Genet. 2007;16(22):2713‐2719. [DOI] [PubMed] [Google Scholar]
- 11. Martinez ME, Charalambous M, Saferali A, et al. Genomic imprinting variations in the mouse type 3 deiodinase gene between tissues and brain regions. Mol Endocrinol. 2014;28(11):1875‐1886. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Hernandez A, Martinez ME, Fiering S, Galton VA, St GD. Type 3 deiodinase is critical for the maturation and function of the thyroid axis. J Clin Invest. 2006;116(2):476‐484. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Jiang YH, Pan Y, Zhu L, et al. Altered ultrasonic vocalization and impaired learning and memory in Angelman syndrome mouse model with a large maternal deletion from Ube3a to Gabrb3. PLoS One. 2010;5(8):e12278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Angulo MA, Butler MG, Cataletto ME. Prader‐Willi syndrome: a review of clinical, genetic, and endocrine findings. J Endocrinol Invest. 2015;38(12):1249‐1263. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Nicholls RD, Knoll JH, Butler MG, Karam S, Lalande M. Genetic imprinting suggested by maternal heterodisomy in nondeletion Prader‐Willi syndrome. Nature. 1989;342(6247):281‐285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Bennett JA, Germani T, Haqq AM, Zwaigenbaum L. Autism spectrum disorder in Prader‐Willi syndrome: a systematic review. Am J Med Genet A. 2015;167A(12):2936‐2944. [DOI] [PubMed] [Google Scholar]
- 17. Kong X, Zhu J, Tian R, et al. Early screening and risk factors of autism Spectrum disorder in a large cohort of Chinese patients with Prader‐Willi syndrome. Front Psych. 2020;11:594934. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Schaaf CP, Gonzalez‐Garay ML, Xia F, et al. Truncating mutations of MAGEL2 cause Prader‐Willi phenotypes and autism. Nat Genet. 2013;45(11):1405‐1408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Thomason MM, McCarthy J, Goin‐Kochel RP, Dowell LR, Schaaf CP, Berry LN. Neurocognitive and neurobehavioral phenotype of youth with Schaaf‐Yang syndrome. J Autism Dev Disord. 2020;50(7):2491‐2500. [DOI] [PubMed] [Google Scholar]
- 20. Fountain MD, Tao H, Chen CA, Yin J, Schaaf CP. Magel2 knockout mice manifest altered social phenotypes and a deficit in preference for social novelty. Genes Brain Behav. 2017;16(6):592‐600. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Branchi I, Santucci D, Alleva E. Ultrasonic vocalisation emitted by infant rodents: a tool for assessment of neurobehavioural development. Behav Brain Res. 2001;125(1–2):49‐56. [DOI] [PubMed] [Google Scholar]
- 22. Hofer MA, Shair HN, Brunelli SA. Ultrasonic vocalizations in rat and mouse pups. Curr Protoc Neurosci. 2002;8:1‐16. [DOI] [PubMed] [Google Scholar]
- 23. Shair HN. Acquisition and expression of a socially mediated separation response. Behav Brain Res. 2007;182(2):180‐192. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Noirot E. Ultrasounds and maternal behavior in small rodents. Dev Psychobiol. 1972;5(4):371‐387. [DOI] [PubMed] [Google Scholar]
- 25. Panksepp J, Normansell L, Herman B, Bishop P, Crepeau L. Neural and neurochemical control of the separation distress call. In: Newman JD, ed. The Physiological Control of Mammalian Vocalization. Boston, MA: Springer; 1988:263‐299. [Google Scholar]
- 26. Wohr M, Schwarting RK. Maternal care, isolation‐induced infant ultrasonic calling, and their relations to adult anxiety‐related behavior in the rat. Behav Neurosci. 2008;122(2):310‐330. [DOI] [PubMed] [Google Scholar]
- 27. Portfors CV, Perkel DJ. The role of ultrasonic vocalizations in mouse communication. Curr Opin Neurobiol. 2014;28:115‐120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Grimsley JM, Monaghan JJ, Wenstrup JJ. Development of social vocalizations in mice. PloS One. 2011;6(3):e17460. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Branchi I, Santucci D, Alleva E. Analysis of ultrasonic vocalizations emitted by infant rodents. Curr Protoc Toxicol. 2006;13(Unit13):12. [DOI] [PubMed] [Google Scholar]
- 30. Fonseca AH, Santana GM, Bosque Ortiz GM, Bampi S, Dietrich MO. Analysis of ultrasonic vocalizations from mice using computer vision and machine learning. Elife. 2021;10:1‐22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Hahn ME, Lavooy MJ. A review of the methods of studies on infant ultrasound production and maternal retrieval in small rodents. Behav Genet. 2005;35(1):31‐52. [DOI] [PubMed] [Google Scholar]
- 32. Kamaludin AA, Smolarchuk C, Bischof JM, et al. Muscle dysfunction caused by loss of Magel2 in a mouse model of Prader‐Willi and Schaaf‐Yang syndromes. Hum Mol Genet. 2016;25(17):3798‐3809. [DOI] [PubMed] [Google Scholar]
- 33. Riede T. Subglottal pressure, tracheal airflow, and intrinsic laryngeal muscle activity during rat ultrasound vocalization. J Neurophysiol. 2011;106(5):2580‐2592. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Allin JT, Banks EM. Effects of temperature on ultrasound production by infant albino rats. Dev Psychobiol. 1971;4(2):149‐156. [DOI] [PubMed] [Google Scholar]
- 35. Blumberg MS, Alberts JR. Ultrasonic vocalizations by rat pups in the cold: an acoustic by‐product of laryngeal braking? Behav Neurosci. 1990;104(5):808‐817. [DOI] [PubMed] [Google Scholar]
- 36. Young DM, Schenk AK, Yang SB, Jan YN, Jan LY. Altered ultrasonic vocalizations in a tuberous sclerosis mouse model of autism. Proc Natl Acad Sci U S A. 2010;107(24):11074‐11079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Caruso A, Ricceri L, Scattoni ML. Ultrasonic vocalizations as a fundamental tool for early and adult behavioral phenotyping of autism Spectrum disorder rodent models. Neurosci Biobehav Rev. 2020;116:31‐43. [DOI] [PubMed] [Google Scholar]
- 38. Scattoni ML, Gandhy SU, Ricceri L, Crawley JN. Unusual repertoire of vocalizations in the BTBR T+tf/J mouse model of autism. PLoS One. 2008;3(8):e3067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Zimmer MR, Fonseca AHO, Iyilikci O, Pra RD, Dietrich MO. Functional ontogeny of hypothalamic Agrp neurons in neonatal mouse behaviors. Cell. 2019;178(1):44‐59 e47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Hernandez‐Miranda LR, Ruffault PL, Bouvier JC, et al. Genetic identification of a hindbrain nucleus essential for innate vocalization. Proc Natl Acad Sci U S A. 2017;114(30):8095‐8100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Nakatani J, Tamada K, Hatanaka F, et al. Abnormal behavior in a chromosome‐engineered mouse model for human 15q11‐13 duplication seen in autism. Cell. 2009;137(7):1235‐1246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Kromkhun P, Katou M, Hashimoto H, Terada M, Moon C, Saito TR. Quantitative and qualitative analysis of rat pup ultrasonic vocalization sounds induced by a hypothermic stimulus. Lab Anim Res. 2013;29(2):77‐83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Barnes TD, Rieger MA, Dougherty JD, Holy TE. Group and individual variability in mouse pup isolation calls recorded on the same day show stability. Front Behav Neurosci. 2017;11:243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Verjat A, Rodel HG, Feron C. Isolation calls in house mouse pups: individual consistency across time and situations. Dev Psychobiol. 2019;61(8):1135‐1145. [DOI] [PubMed] [Google Scholar]
Associated Data
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Supplementary Materials
Data Availability Statement
Data available in article supplementary material. Audio files deposited in the MouseTube repository. Any other data are available on request from the corresponding author.