Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2024 Nov 11;19(11):e0313172. doi: 10.1371/journal.pone.0313172

Effects of short-term isolation on social behaviors in prairie voles

Jesus E Madrid 1,, Nicole M Pranic 1,, Samantha Chu 1, Johanna J D Bergstrom 1, Rhea Singh 1, Joclin Rabinovich 1, Kaycee Arias Lopez 1, Alexander G Ophir 1,*, Katherine A Tschida 1,*
Editor: Wolfgang Blenau2
PMCID: PMC11554233  PMID: 39527561

Abstract

Social isolation affects the brain and behavior in a variety of animals, including humans. Studies in traditional laboratory rodents, including mice and rats, have supported the idea that short-term social isolation promotes affiliative social behaviors, while long-term isolation promotes anti-social behaviors, including increased aggression. Whether the effects of isolation on the social behaviors of mice and rats generalize to other rodents remains understudied. In the current study, we characterized the effects of short-term (3-days) social isolation on the social behaviors of adult prairie voles (Microtus ochrogaster) during same-sex and opposite-sex social interactions. Our experiments revealed that short-term isolation did not affect rates of ultrasonic vocalizations or time spent in non-aggressive social behaviors and huddling during same-sex and opposite-sex interactions. Unexpectedly, although short-term isolation also did not affect time spent in resident-initiated and mutually-initiated aggressive behavior, we found that short-term isolation increased time spent in visitor-initiated aggression during male-male interactions. Our findings highlight the importance of comparative work across species and the consideration of social context to understand the diverse ways in which social isolation can impact social behavior.

Introduction

Social isolation is increasingly recognized as a contributor to the development of mental and physical illnesses [15]. For example, in humans, feelings of loneliness are correlated with increased rates of depression, anxiety, substance abuse, and decreased cognitive function [69]. Furthermore, social isolation promotes markers of inflammation, exacerbates cardiovascular conditions, disrupts sleep quality, and dysregulates stress response reactivity [1013]. On the other hand, social support has been shown to mitigate the deleterious effects of physiological and psychological stressors [14, 15]. Social connectedness reduces the likelihood of depression, anxiety, and substance use disorder [1618]. Thus, an overwhelming amount of evidence highlights the importance of our social environment to our well-being.

Humans, however, are not the only animals that are affected by their social environment. Social isolation is an impactful stressor with lasting effects on the brain and behavior across a variety of mammals [19, 20]. In rodents, for example, social isolation increases levels of systemic inflammation and promotes anxiety-like and despair-like behaviors [2123]. As in humans, social support in rodents buffers the effects of stressors, improves social investigation, and diminishes fear responses [14, 15, 24]. The consistent association between the quality (or absence) of social connections and psychophysiological health outcomes is a fundamental aspect of social animals across various taxa including primates, birds, fish, and invertebrates [20, 25].

In addition to effects on health outcomes, social isolation is well known to affect social behavior, and extensive literature has investigated the effects of long-term (> 2 weeks) social isolation on the social behaviors of traditional laboratory rodents, including mice and rats. Although a small number of studies in rats have reported that long-term isolation promotes social investigation during subsequent social interactions [26, 27], numerous studies in both rats and mice found that long-term isolation promotes anti-social behaviors, including decreasing social approach and social preference [28], increasing anxiety [29, 30], and increasing aggression [21, 3134].

Despite the accumulating evidence that social isolation fundamentally impacts many aspects of health and wellbeing, studies have primarily focused on the effects of long-term isolation at the cost of investigating short-term periods of isolation and the consequences that follow. This lack of research is notable because most social organisms do not experience long-term isolation under natural conditions, whereas short-term isolation is sure to be common in nature and therefore more ecologically valid. A small number of studies in mice and rats have reported that short-term (< 2 weeks) isolation increases social motivation during subsequent interactions with conspecifics. Short-term isolation increases social investigation and social grooming in male rats [35], increases play behaviors in juvenile rats [36], and increases social preference in male mice [37]. Given that prior work has tended to focus on the effects of social isolation on male behavior, we recently characterized the effects of short-term isolation on the social behaviors of both female and male mice during opposite-sex and same-sex interactions [38]. We found that although short-term isolation exerted relatively subtle effects on the social behaviors of male mice when they subsequently interacted with male and female social partners, female mice exhibited robust changes in social behavior following a 3-day period of isolation. Compared to group-housed females, single-housed females spent more time investigating a novel female social partner, produced higher rates of ultrasonic vocalizations (USVs) during same-sex interactions, and engaged in same-sex mounting of novel females [38]. Studies such as these support the idea that short-term isolation can influence social behavior in mice and rats and highlight the importance of considering whether such effects vary according to sex and social context. Whether the effects of short-term isolation on the social behaviors of mice and rats generalize to less traditional rodent models remains unknown.

Although work in traditional laboratory animals has established that both long-term and short-term isolation can impact social behavior, the relevance of such work to humans may be limited because these rodents do not demonstrate persistent and selective social bonds characteristic of humans. Species with prolonged social bonds across their lives, such as the prairie vole, may be particularly affected by social isolation [24, 3941] and therefore may be more suitable to model the effects of social isolation on human social behavior. Most prairie voles will form socially monogamous pairs and engage in biparental care [4244]. Moreover, under natural conditions, some prairie voles disperse from the nest to establish their own territories, whereas others remain at the nest living in communal groups as adults [45]. Thus, prairie voles are likely to experience a range of periods of social isolation and communal living during their natural lives.

Indeed, research has demonstrated that social isolation from cage-mate siblings is sufficient to produce changes in prairie vole behavior and physiology similar to those observed in humans, including increased indicators of learned helplessness and anhedonia, decreased exploratory behavior, and disruption of autonomic, cardiac, and immune functions [39, 4655]. Social isolation has also been shown to impact the social behaviors of prairie voles. For instance, social isolation can increase aggression towards same-sex conspecifics and pups [46, 51]. In social affiliation tests, socially isolated prairie voles have been found to spend more time in a social chamber, spend more time sniffing an unfamiliar conspecific, and spend less time grooming and huddling with an unfamiliar conspecific [52, 54, 56]. Notably, like work with traditional laboratory rodents, most of these studies have focused on the effects of long-term social isolation [47, 48, 52, 57, 58].

Considerably less research exists on the effects of short-term social isolation on the social behavior of prairie voles. Here, we replicate the design of our recent work in mice [38] to ask how short-term (3-day) social isolation affects the social behaviors of female and male prairie voles. We considered the effects of short-term isolation on both aggressive and non-aggressive social behaviors. We also measured the effects of short-term isolation on the production of USVs. Previous studies have found that rates and acoustic features of rodent USVs are responsive to both short- and long-term social isolation [38, 5962], and prairie voles produce USVs during social encounters [6365]. In addition, because voles may experience different types of social motivation during different social contexts [66], we tested the effects of short-term social isolation on these social behaviors produced during female-female interactions, male-male interactions, and male-female interactions.

Materials and methods

Subjects

Male and female prairie voles (Microtus ochrogaster) used in this experiment were F2 and F3 generation lab-born animals derived from wild-caught breeders trapped in Champaign County, Illinois, USA. Subjects born to F1 or F2 breeders were housed with parents and littermates until weaning at postnatal day (PND) 21, housed with all littermates until PND42-45, and then separated by sex and housed with their same-sex littermates until the start of the experiment (> PND60). All animals were housed in standard polycarbonate rodent cages (29 × 18 × 13 cm) lined with Sani-chip bedding and provided nesting material. We provided animals free access to water and food (Rodent Chow 5001, LabDiet, St. Louis, MO, USA). All animals were housed on a 14:10 light-dark cycle with ambient temperature maintained at 20 ± 2°C. Sex was assigned based on external genitalia. All experiments and procedures were conducted according to protocols approved by the Cornell University Institutional Animal Care and Use Committee (protocols #2020–001 and #2013–0090).

Study design

We used a between-subjects design to measure the effects of short-term (3-day) social isolation on the social behaviors of sexually naïve, non-bonded, adult (> PND60) prairie voles during same-sex and opposite-sex interactions. Subjects were selected from cages housing at least two adult, same-sex littermates. One sibling from each cage was assigned to the single-housed condition and was separated from its littermate(s) and housed alone for three days in a clean cage with bedding and nesting material prior to being placed in a social interaction test (see below). A second sibling from each cage was assigned to the group-housed condition. Group-housed subjects were removed from their home cage and were placed directly in the social interaction test. If a selected litter had more than two same-sex siblings, all remaining siblings from that litter were transferred to a new home cage and were not used in the experiment.

Social interaction tests

The social interaction test began by transferring a subject (either group-housed or single-housed) within its home cage into a custom-made Plexiglas chamber (29 × 18 × 13 cm) that fit snugly around the home cage to prevent animals from escaping when the cage lid was removed. The home cage and its Plexiglas ‘sleeve’ were placed inside a sound-attenuating recording chamber (Med Associates) equipped with an ultrasonic microphone (Avisoft, CMPA/CM16), an infrared light source (Tendelux), and a webcam (Logitech, with the infrared filter removed to enable video recording under infrared lighting) (S1 Fig). Because these animals were tested in their home cages, we refer to subjects as “residents”. Resident voles were sexually naïve at the time of the experiment and had no prior social experience outside of littermate interactions. An unrelated and unfamiliar group-housed stimulus animal (i.e., a “visitor”) was then placed in the resident’s home cage for 30 minutes, and video and audio recordings were made. Visitors were used across multiple trials. Three out of 13 female visitors were used across both male-female and female-female trials. No visitor was used more than 11 times within 60 days and there was always at least 1 day between uses in different trials. Visitors were individually ear-tagged prior to being used in a social interaction test for identification purposes.

We measured social behaviors (see below) during social interaction testing in three social contexts. In the first context, we tested female residents when exposed to a female visitor (FF). In the second context, we tested male residents when exposed to a male visitor (MM). In the third context, we tested male residents when exposed to a female visitor (MF). For each context, we assigned 15 subjects to serve in the group-housed condition and 15 subjects to serve in the single-housed condition. A subset of social interaction tests (n = 17) were excluded from analysis for one of the three following reasons: (1) an animal jumped on top of the Plexiglas chamber and/or onto the microphone (n = 10), (2) the recording was stopped before the 30-minute mark due to experimenter error (n = 3), or (3) the visitor identity was not recorded (n = 4). Thus, our final sample sizes for FF were n = 15 (group-housed) and n = 15 (single-housed), for MM were n = 14 (group-housed) and n = 14 (single-housed), and for MF were n = 12 (group-housed) and n = 13 (single-housed).

Behavioral measures

USVs

USVs were recorded using an Avisoft recording system (UltrasoundGate 116H, 250 kHz sample rate) and detected using custom MATLAB codes with the following parameters implemented to detect prairie vole USVs: mean frequency > 17 kHz; spectral purity > 0.3; spectral discontinuity < 1.00; minimum USV duration = 5 ms; minimum inter-syllable interval = 30 ms) [38, 67]. Because recordings were unable to distinguish whether the resident or the visitor produced a given USV, we simply counted the total number of USVs produced by a dyad within a trial. To evaluate the accuracy of our USV detection, we generated spectrograms of each detected ‘putative’ USV from eight representative 30-minute-long audio recordings from our dataset (n = 5800 putative USVs detected in total; from n = 4 male-male trials, n = 1 female-female trials, and n = 3 male-female trials). A trained observer rated each spectrogram as either containing a USV or not containing a USV. From this analysis, we calculated that 91.2 +/- 3.6% (in total, 5305 of 5800) of putative USVs detected by the code are true USVs, and correspondingly, we estimate a false positive rate of ~8.8%.

Social behaviors scored from video recordings

Trained observers, blinded to context, scored behaviors from overhead video recordings of the resident and visitor in each pair. One of the authors (N.M.P.) initially scored behavior from a subset of videos in our dataset (n = 5) that collectively contained instances of all behaviors to be scored. Three additional observers were then trained on this training dataset until their scoring reached 100% agreement with that of the trainer. Outside of the training dataset, each video was scored by only one observer, and the trainer continued to perform intermittent spot checks of scoring accuracy. A spreadsheet was used to record start and stop times for each behavior. The following behaviors were scored: (1) resident-initiated aggressive behavior, (2) visitor-initiated aggressive behavior, (3) mutually-initiated aggressive behavior, (4) resident-initiated non-aggressive behavior, (5) visitor-initiated non-aggressive behavior, (6) mutually-initiated non-aggressive behavior, and (7) huddling. Aggressive behavior included chasing (i.e., pursuit associated with fighting) and fighting (i.e., biting, boxing, or tussling). Non-aggressive behavior included sniffing, following (i.e., pursuit not associated with fighting), and grooming. For both aggressive and non-aggressive behavior, directional behavior (i.e., resident-initiated or visitor-initiated) was defined as instances in which one animal approached the other and the behaviors listed above resulted. Mutually-initiated behavior was defined as instances in which the two animals simultaneously approached each other and the behaviors above resulted. Huddling was defined as instances when the resident and visitor remained in side-by-side physical contact for more than 3 seconds without otherwise interacting. Thus, we scored aggressive behavior, non-aggressive behavior, and huddling as mutually exclusive, non-simultaneous events. No instances of mounting were observed in our dataset.

Statistical analyses

To examine normality of residuals for the relevant data distributions, we visually inspected quantile plots of residuals. Cases in which residuals diverged notably from the 45-degree line of a normal distribution were deemed non-normally distributed and were analyzed by fitting the data to a generalized linear mixed model with a negative binomial family. We quantified huddling behavior as a binary variable (Y/N) and then analyzed it by fitting it to a generalized linear mixed model with a binomial family. We did not analyze the number of seconds animals were engaged in huddling because very few pairs engaged in any huddling behavior (n = 20/83). All models included ‘visitor identity’ as a random factor to control for the fact that some visitors were used across multiple trials. All p-values for pairwise comparisons were corrected for multiple comparisons using the Tukey honestly significant difference (HSD) test. Summary statistics provided in text represent mean values ± standard deviation. All statistical analyses were carried out using R 4.3.0 (R Core Team, 2023) and R Studio 2023.03.1+446 (Posit team, 2023).

Results

Effects of short-term isolation on prairie vole USV production in different social contexts

Rates of USVs produced by prairie vole pairs significantly differed as a function of social context (Fig 1; Χ2 = 33.14, p < 0.001). However, we found no effect of resident housing condition on USV production (Χ2 = 0.87, p = 0.35), and the interaction between social context and housing condition was also not significant (Χ2 = 0.31, p = 0.86). Notably, MF pairs produced an average of 1174.9 ± 993.3 USVs, significantly more than both FF pairs (368.4 ± 258.7) and MM pairs (447.0 ± 306.2) (p < 0.001 and p < 0.001, respectively). These data indicate that prairie vole USV rates are influenced by social context but are not affected by short-term isolation.

Fig 1. Effects of short-term social isolation on prairie vole USV production in different social contexts.

Fig 1

(A) Spectrograms of representative USVs produced by prairie voles during opposite-sex (MF) interactions and during female-female (FF) and male-male (MM) interactions. (B) Quantification of total USVs produced during MF, FF, and MM interactions. Orange, trials with group-housed residents; blue, trials with single-housed residents. Bars indicate mean values, and error bars indicate standard errors. Double asterisks, p < 0.001.

Effects of short-term isolation on prairie vole aggression in different social contexts

We scored aggressive behavior according to which animal (the resident, the visitor, or both) initiated the behavior. Time spent engaged in aggressive behavior initiated by the resident did not differ by resident housing condition (Fig 2A; Χ2 = 1.41, p = 0.23) or by social context (Χ2 = 5.14, p = 0.08), and these factors did not show a significant interaction (Χ2 = 3.38, p = 0.18).

Fig 2. Effects of short-term isolation on prairie vole aggressive behavior in different social contexts.

Fig 2

Time (in seconds) spent engaged in (A) resident-initiated, (B) mutually-initiated, and (C) visitor-initiated aggressive behavior during social interaction trials is shown. Orange, trials with group-housed residents; blue, trials with single-housed residents. Bars indicate mean values, and error bars indicate standard errors. Single asterisks, p < 0.05.

Similarly, mutually-initiated aggressive behavior did not differ by resident housing condition (Fig 2B; Χ2 = 0.91, p = 0.34) or by social context (Χ2 = 0.68, p = 0.71), and these factors did not show a significant interaction (Χ2 = 1.99, p = 0.37).

Unexpectedly, although visitor-initiated aggressive behavior did not show a significant main effect of resident housing condition (Fig 2C; Χ2 = 1.5, p = 0.22) or social context (Χ2 = 1.78, p = 0.41), the interaction between these two factors was significant (Χ2 = 6.08, p = 0.048). Post hoc comparisons revealed that MM pairs with a single-housed resident spent more time engaged in visitor-initiated aggressive behavior than pairs with a group-housed resident (40.3 ± 26.9 s and 15.0 ± 13.4 s, respectively; p = 0.01). Furthermore, all visitor males (4 total) that were used in MM trials were tested with both single-housed residents and group-housed residents. Notably, 3 of these 4 male visitors spent more time engaged in visitor-initiated aggression during trials with single-housed residents compared to trials with group-housed residents (S2 Fig). Follow-up analyses demonstrated that both the mean number of visitor-initiated bouts of aggressive behavior and the mean duration of these bouts were significantly greater in MM trials with single-housed residents when compared to trials with group-housed residents (Χ2 = 4.7, p = 0.03 for bout number analysis; Χ2 = 5.5, p = 0.02 for bout duration analysis). In summary, MM pairs with single-housed residents spent more time engaged in visitor-initiated aggression compared to MM pairs with group-housed residents. These data reveal a sex- and context-dependent effect of short-term social isolation on visitor-initiated aggressive behavior.

Effects of short-term isolation on prairie vole non-aggressive social behavior in different social contexts

We next considered the effects of short-term isolation on prairie vole non-aggressive social behavior by categorizing periods of non-aggressive behavior as resident-initiated, mutual, or visitor-initiated. Time spent in resident-initiated non-aggressive social behavior showed a significant main effect of social context (Fig 3A; Χ2 = 8.90, p = 0.01), but there was no significant main effect of resident housing condition (Χ2 = 0.52, p = 0.47), and there was no significant interaction between resident housing condition and social context (Χ2 = 3.01, p = 0.22). Post hoc comparisons among prairie vole dyads showed that MM pairs (26.1 ± 54.6 s) spent significantly less time engaged in resident-initiated non-aggressive social behaviors than MF pairs (80.1 ± 85.9 s; p = 0.03) and FF pairs (77.2 ± 157.7 s; p = 0.02).

Fig 3. Effects of short-term isolation on prairie vole non-aggressive social behavior and huddling in different social contexts.

Fig 3

(A-C) Time (in seconds) spent engaged in (A) resident-initiated, (B) mutually-initiated, and (C) visitor-initiated non-aggressive social behavior during social interaction trials is shown. Orange, trials with group-housed residents; blue, trials with single-housed residents. Bars indicate mean values, and error bars indicate standard errors. Single asterisks, p < 0.05. Double asterisks, p < 0.001. (D) Pie charts show the number of pairs engaged in huddling in MF (left), FF (middle), and MM (right) social interactions. White shading indicates proportion of trials in which pairs did not huddle, and teal shading indicates proportion of trials in which pairs engaged in huddling.

Mutually-initiated non-aggressive social behavior also showed a main effect of social context (Fig 3B; Χ2 = 6.89, p = 0.03) but no main effect of resident housing condition (Χ2 = 1.75, p = 0.19) and no significant interaction (Χ2 = 3.69, p = 0.16). Post hoc comparisons showed that MM pairs spent less time engaged in mutually-initiated non-aggressive social behavior than FF pairs (37.1 ± 43.2 and 26.5 ± 86.2 s, respectively; p = 0.049).

Finally, visitor-initiated non-aggressive social behavior showed the same pattern, where we found a significant main effect of social context (Fig 3C; Χ2 = 12.25, p = 0.002) but no significant main effect of resident housing condition (Χ2 = 1.05, p = 0.30) and no significant interaction between resident housing condition and social context (Χ2 = 0.24, p = 0.88). Post hoc comparisons showed that MM pairs (30.7 ± 45.2 s) spent significantly less time engaged in visitor-initiated non-aggressive social behaviors than MF pairs (122.7 ± 96.7 s; p = 0.02) and FF pairs (85.1 ± 133.8 s; p = 0.03). Taken together, these results indicate that prairie vole non-aggressive social behavior is influenced by social context but is not impacted by short-term isolation.

Effects of short-term social isolation on prairie vole huddling in different social contexts

Although huddling (i.e., side-by-side contact) was rare among resident-visitor pairs (20 of 83 pairs engaged in huddling behavior; see S3 Fig), our results showed a significant main effect of social context on the number of pairs that engaged in huddling (Fig 3D; Χ2 = 6.04, p = 0.049). However, we did not find a significant main effect of resident housing condition (Χ2 = 0.31, p = 0.58) or a significant interaction between resident housing condition and social context (Χ2 = 0.27, p = 0.87). Post hoc comparisons showed that huddling was observed more frequently in MF pairs than in MM pairs (11 of 25 MF pairs huddled and 2 of 28 MM pairs huddled; p = 0.047). As with non-aggressive social behavior, our data indicate that frequency of huddling differs by social context but is not affected by short-term isolation.

Discussion

In this study, we measured the effects of short-term social isolation on social behaviors in prairie voles, during same-sex and opposite-sex social interactions. Surprisingly, we found that three days of social isolation did not impact rates of USV production, time spent engaged in non-aggressive social behaviors, or frequency of huddling (Figs 1 and 3). Similarly, we found no main effect of social isolation or social context on time spent in aggressive behavior (Fig 2). However, we did find that short-term isolation increased visitor-initiated aggression in a context-dependent manner, where social isolation did not impact MF or FF dyads, but MM pairs with a single-housed resident spent more time engaged in visitor-initiated aggression than MM pairs with a group-housed resident (Fig 2C). On the other hand, social context of the dyads (MF, FF, or MM) strongly influenced rates of USV production, non-aggressive behavior, and huddling. MF pairs produced higher rates of USVs than same-sex pairs (Fig 1B), MF and FF pairs spent significantly more time engaged in non-aggressive behaviors compared to MM pairs (Fig 3A and 3C), and significantly more MF pairs engaged in huddling than MM pairs (Fig 3D).

Previous work in mice and rats has demonstrated that short-term (< 2 weeks) social isolation promotes a variety of social behaviors, including social play [36], social investigation [37, 38], USV production [38], mounting [35, 38], and grooming [35]. To our knowledge, the current study is the first to consider the effects of short-term isolation on the social behaviors of freely interacting, adult prairie voles. In contrast to work in mice and rats, most behaviors that we measured (USVs, non-aggressive behaviors, and huddling) were surprisingly not affected by short-term isolation. Similarly, Sailer et al. (2022) found that juvenile prairie voles that experienced 9 days of social isolation engaged in social approach toward and social investigation of a conspecific behind a physical barrier at rates that were no different from animals that were not isolated. It is worth noting that combining social isolation while also exposing animals to a social stress regimen (i.e., chronic social defeat), however, reduced these behaviors [24]. Taken together, these studies suggest that prairie voles might not be as sensitive to short-term social isolation as mice or rats. This difference highlights the importance of comparative studies across species for understanding how social isolation impacts behavior.

Although we found that short-term isolation exerted relatively few effects on prairie vole social behavior, aggressive interactions among our dyads were influenced by social isolation; however, this effect depended on social context. Unexpectedly, we found that 3 days of social isolation promoted prairie vole aggression, but only among male-male dyads. Moreover, these behavioral differences were only observed in the visitors’ aggression. How might single-housing of the resident male increase aggressive behavior of the visitor male? One possibility is that although single-housed male residents did not initiate more fights, perhaps they either promoted or prolonged altercations or perhaps they were less effective at defusing visitor-initiated aggression compared to group-housed male residents. These ideas are aligned with the hypothesis that social isolation results in a deficiency of social skills, although this hypothesis has mainly been discussed in the context of early-life social isolation and subsequent overexpression of aggression or altered courtship behaviors later in life [59, 68]. A second more practical possibility is that visitor males responded with aggression towards behaviors exhibited by single-housed resident males, but we did not capture these behaviors in our video analysis, either because they were more subtle behaviors than those that we scored (for example, postural differences) or because they could not be captured by video recordings (for example, differences in chemical signaling). Unfortunately, we are unable to distinguish between these possibilities based on the data we collected. Nevertheless, our data complement previous work showing that longer-term isolation increases aggressive behavior in female prairie voles [46, 51].

Different social contexts created by the dyads that we established impacted non-aggressive behaviors and the rates of USVs. However, the contexts impacted these behaviors differently. In many ways, the social context among dyads led to predictable outcomes. For instance, both MF and FF pairs spent more time engaged in non-aggressive behaviors than MM pairs (Fig 3A and 3C), a result that is likely best explained by intersexual competition among males. Moreover, MF pairs spent the most time engaged in social behaviors that are typically considered prosocial. Indeed, male-female pairs produced higher rates of USVs than same-sex pairs (Fig 1B) and were more likely to exhibit huddling than male-male pairs (Fig 3D). Presumably these differences in behavior are related to the reproductive context that tends to follow male-female pairings. Notably, the finding that MF pairs produced the overall highest rates of USVs aligns with previous work, which found that MF pairs of prairie voles emit higher rates of USVs than MM pairs [64, 65], and that USV production during opposite-sex interactions accompanies social investigation, mounting, and intromission [63]. Previous studies in prairie voles have manually categorized USV types (based on spectrographic shape) produced during same-sex interactions [64], described the acoustic features of USVs produced during opposite-sex interactions [63], and reported that the acoustic features of vole USVs covary with heart rate [69]. Whether the acoustic features of prairie vole USVs differ according to social context or are influenced by social isolation remains an important topic for future study.

Recent work has put forth the idea of social homeostasis, in which individuals detect the quality and quantity of social interaction, compare it to a “set-point” of optimal social contact, and then modify their social seeking behaviors to achieve optimal social contact. Specifically, the social homeostasis hypothesis proposes that animals increase their rates of prosocial behaviors following short periods of social isolation, but that long-term isolation alters the social set-point, which in turn makes social contact a negative valence stimulus and causes individuals to increase their rates of anti-social behaviors, including aggression [70]. Notably, the patterns of social behaviors that we report are inconsistent with the predictions of this hypothesis. Indeed, none of the prosocial behaviors we measured were impacted by short-term social isolation. In contrast, we found that short-term social isolation leads to a social context-dependent increase in visitor-initiated aggressive behavior. Given that most studies in prairie voles have focused on prolonged periods (> 4 weeks) of social isolation, additional work is needed to understand the time course over which aggressive behaviors emerge in single-housed females and males. Similarly, it would be interesting to know whether there are conditions under which short-term isolation enhances prosocial behaviors in prairie voles. For example, group-housed and single-housed resident prairie voles in the current study were given social interactions with unfamiliar visitors. Yet it is possible that the effects of short-term isolation on vole social behaviors might differ if subsequent interactions were conducted with familiar voles. This distinction in the familiarity of the visitor may be relevant considering that exposure to familiar and unfamiliar conspecifics (or even unfamiliar heterospecifics) elicits different patterns of neuronal activation throughout the ‘social behavior network’ in the prairie vole brain [71].

In summary, our study highlights the paramount importance of considering factors that can influence whether and how isolation affects social behavior. In particular, the duration and timing of isolation, the natural history of the species studied, and the sex of the social interactants are all critical factors that merit consideration. Doing so will lead to a deeper understanding of the various ways in which social isolation impacts social behavior and mental and physical health.

Supporting information

S1 Fig. Behavioral chamber setup.

(A) The home cage of the resident vole (a) was placed inside a plexiglass sleeve (b), with a small amount of foam padding (c) placed to fill any gaps between the edge of the home cage and the wall of the sleeve. The chamber was equipped with an ultrasonic microphone (d) and a webcam (e). Please note that although only the resident vole is present in this image, both a resident and visitor vole were placed in the chamber for each social interaction test. (B) View of the behavioral chamber from the overhead webcam.

(PDF)

pone.0313172.s001.pdf (696.5KB, pdf)
S2 Fig. Mean time spent in visitor-initiated aggressive behavior for male visitors during interactions with single-housed vs. group-housed male residents.

Mean time (in seconds) that male visitors engaged in visitor-initiated aggressive behavior when interacting with group-housed vs. single-housed male residents. Lines and data points are color-coded by the identity of the male visitor. Data points show mean values, and error bars indicate standard errors. Visitor males #4 and #5 were each used in n = 2 trials with group-housed (GH) residents and n = 2 trials with single-housed (SH) residents. Visitor male #7 was used in n = 5 trials with GH residents and n = 6 trials with SH residents. Visitor male #8 was used in n = 5 trials with GH residents and n = 4 trials with SH residents.

(PDF)

pone.0313172.s002.pdf (240.7KB, pdf)
S3 Fig. Additional quantification of huddling.

(A) Time (in seconds) that pairs of voles spent engaged in huddling during social interaction trials is shown. Orange, trials with group-housed residents; blue, trials with single-housed residents. Bars indicate mean values, and error bars indicate standard errors. (B) Pie charts showing the number of pairs engaged in huddling in MF (top), FF (middle), and MM (bottom) social interactions, shown separately for pairs that included group-housed residents vs. single-housed residents. White shading indicates the proportion of trials in which pairs of voles did not huddle, and teal shading indicates the proportion of trials in which pairs engaged in huddling.

(PDF)

pone.0313172.s003.pdf (402.6KB, pdf)

Acknowledgments

We thank Frank Drake and other CARE staff for their excellent animal husbandry. We also thank Stephen Parry from the Cornell Statistical Consulting Unit for statistical consultation.

Data Availability

All data associated with this study are made available through Cornell eCommons (https://doi.org/10.7298/dj90-fc26).

Funding Statement

The author(s) received no specific funding for this work.

References

  • 1.Cacioppo JT, Hawkley LC, Crawford LE, Ernst JM, Burleson MH, Kowalewski RB, et al. Loneliness and Health: Potential Mechanisms. Psychosom Med. 2002;64: 407–417. doi: 10.1097/00006842-200205000-00005 [DOI] [PubMed] [Google Scholar]
  • 2.Cacioppo JT, Hughes ME, Waite LJ, Hawkley LC, Thisted RA. Loneliness as a Specific Risk Factor for Depressive Symptoms: Cross-Sectional and Longitudinal Analyses. Psychol Aging. 2006;21: 140–151. doi: 10.1037/0882-7974.21.1.140 [DOI] [PubMed] [Google Scholar]
  • 3.Cacioppo JT, Cacioppo S. Older adults reporting social isolation or loneliness show poorer cognitive function 4 years later. Evidence-Based Nursing. 2014;17: 59–60. doi: 10.1136/eb-2013-101379 [DOI] [PubMed] [Google Scholar]
  • 4.Nicholson NR. A Review of Social Isolation: An Important but Underassessed Condition in Older Adults. J Prim Prev. 2012;33: 137–152. doi: 10.1007/s10935-012-0271-2 [DOI] [PubMed] [Google Scholar]
  • 5.Johnson NJ, Backlund E, Sorlie PD, Loveless CA. Marital Status and Mortality The National Longitudinal Mortality Study. Ann Epidemiology. 2000;10: 224–238. doi: 10.1016/s1047-2797(99)00052-6 [DOI] [PubMed] [Google Scholar]
  • 6.Alpass FM, Neville S. Loneliness, health and depression in older males. Aging Ment Heal. 2003;7: 212–216. doi: 10.1080/1360786031000101193 [DOI] [PubMed] [Google Scholar]
  • 7.Ge L, Yap CW, Ong R, Heng BH. Social isolation, loneliness and their relationships with depressive symptoms: A population-based study. PLoS ONE. 2017;12: 1–13. doi: 10.1371/journal.pone.0182145 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Wang J, Mann F, Lloyd-Evans B, Ma R, Johnson S. Associations between loneliness and perceived social support and outcomes of mental health problems: A systematic review. BMC Psychiatry. 2018;18: 1–16. doi: 10.1186/s12888-018-1736-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Butler TR, Karkhanis AN, Jones SR, Weiner JL. Adolescent Social Isolation as a Model of Heightened Vulnerability to Comorbid Alcoholism and Anxiety Disorders. Alcohol: Clin Exp Res. 2016;40: 1202–1214. doi: 10.1111/acer.13075 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Cruz FC, Duarte JO, Leão RM, Hummel LFV, Planeta CS, Crestani CC. Adolescent vulnerability to cardiovascular consequences of chronic social stress: Immediate and long-term effects of social isolation during adolescence. Developmental Neurobiology. 2016;76: 34–46. doi: 10.1002/dneu.22297 [DOI] [PubMed] [Google Scholar]
  • 11.Hawkley LC, Capitanio JP. Perceived social isolation, evolutionary fitness and health outcomes: a lifespan approach. Philos Trans R Soc B: Biol Sci. 2015;370: 20140114. doi: 10.1098/rstb.2014.0114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Yang YC, McClintock MK, Kozloski M, Li T. Social Isolation and Adult Mortality: The Role of Chronic Inflammation and Sex Differences. J Heal Soc Behav. 2013;54: 182–202. doi: 10.1177/0022146513485244 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Steptoe A, Owen N, Kunz-Ebrecht SR, Brydon L. Loneliness and neuroendocrine, cardiovascular, and inflammatory stress responses in middle-aged men and women. Psychoneuroendocrinology. 2004;29: 593–611. doi: 10.1016/S0306-4530(03)00086-6 [DOI] [PubMed] [Google Scholar]
  • 14.Kiyokawa Y, Hennessy MB. Comparative studies of social buffering: A consideration of approaches, terminology, and pitfalls. Neurosci Biobehav Rev. 2018;86: 131–141. doi: 10.1016/j.neubiorev.2017.12.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Peen NF, Duque-Wilckens N, Trainor BC. Convergent neuroendocrine mechanisms of social buffering and stress contagion. Horm Behav. 2021;129: 104933. doi: 10.1016/j.yhbeh.2021.104933 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Ozbay F, Johnson DC, Dimoulas E, Morgan CA, Charney D, Southwick S. Social support and resilience to stress: from neurobiology to clinical practice. Psychiatry (Edgmont (Pa: Townsh)). 2007;4: 35–40. [PMC free article] [PubMed] [Google Scholar]
  • 17.Southwick SM, Vythilingam M, Charney DS. The Psychobiology of Depression and Resilience to Stress: Implications for Prevention and Treatment*. Annu Rev Clin Psychol. 2005;1: 255–291. doi: 10.1146/annurev.clinpsy.1.102803.143948 [DOI] [PubMed] [Google Scholar]
  • 18.Southwick SM, Sippel L, Krystal J, Charney D, Mayes L, Pietrzak RH. Why are some individuals more resilient than others: The role of social support. World Psychiatry. 2016;15: 77–79. doi: 10.1002/wps.20282 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Gilmer WS, McKinney WT. Early experience and depressive disorders: Human and non-human primate studies. Journal of Affective Disorders. 2003;75: 97–113. doi: 10.1016/s0165-0327(03)00046-6 [DOI] [PubMed] [Google Scholar]
  • 20.Faustino AI, Tacão-Monteiro A, Oliveira RF. Mechanisms of social buffering of fear in zebrafish. Scientific Reports. 2017;7: 1–10. doi: 10.1038/srep44329 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Fone KCF, Porkess MV. Behavioural and neurochemical effects of post-weaning social isolation in rodents-Relevance to developmental neuropsychiatric disorders. Neuroscience and Biobehavioral Reviews. 2008;32: 1087–1102. doi: 10.1016/j.neubiorev.2008.03.003 [DOI] [PubMed] [Google Scholar]
  • 22.Krügel U, Fischer J, Bauer K, Sack U, Himmerich H. The impact of social isolation on immunological parameters in rats. Archives of Toxicology. 2014;88: 853–855. doi: 10.1007/s00204-014-1203-0 [DOI] [PubMed] [Google Scholar]
  • 23.Walker DM, Cunningham AM, Gregory JK, Nestler EJ. Long-term behavioral effects of post-weaning social isolation in males and females. Frontiers in Behavioral Neuroscience. 2019;13: 1–20. doi: 10.3389/fnbeh.2019.00066 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Sailer LL, Patel PP, Park AH, Moon J, Hanadari-Levy A, Ophir AG. Synergistic consequences of early-life social isolation and chronic stress impact coping and neural mechanisms underlying male prairie vole susceptibility and resilience. Frontiers in Behavioral Neuroscience. 2022;16. doi: 10.3389/fnbeh.2022.931549 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Bailey NW, Moore AJ. Evolutionary Consequences of Social Isolation. Trends in Ecology and Evolution. 2018;33: 595–607. doi: 10.1016/j.tree.2018.05.008 [DOI] [PubMed] [Google Scholar]
  • 26.Ferdman N, Murmu RP, Bock J, Braun K, Leshem M. Weaning age, social isolation, and gender, interact to determine adult explorative and social behavior, and dendritic and spine morphology in prefrontal cortex of rats. Behavioural Brain Research. 2007;180: 174–182. doi: 10.1016/j.bbr.2007.03.011 [DOI] [PubMed] [Google Scholar]
  • 27.Shoji H, Mizoguchi K. Aging-related changes in the effects of social isolation on social behavior in rats. Physiol Behav. 2011;102: 58–62. doi: 10.1016/j.physbeh.2010.10.001 [DOI] [PubMed] [Google Scholar]
  • 28.Tanaka K, Osako Y, Takahashi K, Hidaka C, Tomita K, Yuri K. Effects of post-weaning social isolation on social behaviors and oxytocinergic activity in male and female rats. Heliyon. 2019;5: e01646. doi: 10.1016/j.heliyon.2019.e01646 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Weiss IC, Pryce CR, Jongen-Rêlo AL, Nanz-Bahr NI, Feldon J. Effect of social isolation on stress-related behavioural and neuroendocrine state in the rat. Behav Brain Res. 2004;152: 279–295. doi: 10.1016/j.bbr.2003.10.015 [DOI] [PubMed] [Google Scholar]
  • 30.Sciolino NR, Bortolato M, Eisenstein SA, Fu J, Oveisi F, Hohmann AG, et al. Social isolation and chronic handling alter endocannabinoid signaling and behavioral reactivity to context in adult rats. Neuroscience. 2010;168: 371–386. doi: 10.1016/j.neuroscience.2010.04.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Shimozuru M, Kikusui T, Takeuchi Y, Mori Y. Effects of isolation-rearing on the development of social behaviors in male Mongolian gerbils (Meriones unguiculatus). Physiol Behav. 2008;94: 491–500. doi: 10.1016/j.physbeh.2008.03.003 [DOI] [PubMed] [Google Scholar]
  • 32.Hatch A, Wiberg GS, Balazs T, Grice HC. Long-Term Isolation Stress in Rats. Science. 1963;142: 507–507. doi: 10.1126/science.142.3591.507 [DOI] [PubMed] [Google Scholar]
  • 33.Zelikowsky M, Hui M, Karigo T, Choe A, Yang B, Blanco MR, et al. The Neuropeptide Tac2 Controls a Distributed Brain State Induced by Chronic Social Isolation Stress. Cell. 2018;173: 1265–1279.e19. doi: 10.1016/j.cell.2018.03.037 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Matsumoto K, Pinna G, Puia G, Guidotti A, Costa E. Social isolation stress-induced aggression in mice: A model to study the pharmacology of neurosteroidogenesis. Stress. 2005;8: 85–93. doi: 10.1080/10253890500159022 [DOI] [PubMed] [Google Scholar]
  • 35.Niesink RJM, Ree JMV. Short-term isolation increases social interactions of male rats: A parametric analysis. Physiology and Behavior. 1982;29: 819–825. doi: 10.1016/0031-9384(82)90331-6 [DOI] [PubMed] [Google Scholar]
  • 36.Panksepp J, Beatty WW. Social deprivation and play in rats. Behavioral and Neural Biology. 1980;30: 197–206. doi: 10.1016/s0163-1047(80)91077-8 [DOI] [PubMed] [Google Scholar]
  • 37.Matthews GA, Nieh EH, Vander Weele CM, Halbert SA, Pradhan RV, Yosafat AS, et al. Dorsal Raphe Dopamine Neurons Represent the Experience of Social Isolation. Cell. 2016;164: 617–631. doi: 10.1016/j.cell.2015.12.040 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Zhao X, Ziobro P, Pranic NM, Chu S, Rabinovich S, Chan W, et al. Sex- And context-dependent effects of acute isolation on vocal and non-vocal social behaviors in mice. PLoS ONE. 2021;16: 1–17. doi: 10.1371/journal.pone.0255640 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Stowe JR, Liu Y, Curtis JT, Freeman ME, Wang Z. Species differences in anxiety-related responses in male prairie and meadow voles: The effects of social isolation. Physiol Behav. 2005;86: 369–378. doi: 10.1016/j.physbeh.2005.08.007 [DOI] [PubMed] [Google Scholar]
  • 40.Hawkley LC, Cole SW, Capitanio JP, Norman GJ, Cacioppo JT. Effects of social isolation on glucocorticoid regulation in social mammals. Horm Behav. 2012;62: 314–323. doi: 10.1016/j.yhbeh.2012.05.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Prounis GS, Foley L, Rehman A, Ophir AG. Perinatal and juvenile social environments interact to shape cognitive behaviour and neural phenotype in prairie voles. Proc R Soc B: Biol Sci. 2015;282: 20152236. doi: 10.1098/rspb.2015.2236 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Getz LL, Carter CS, Getz LL, Carter CS. Prairie-Vole Partnerships. 1996;84: 56–62. [Google Scholar]
  • 43.Madrid JE, Parker KJ, Ophir AG. Variation, plasticity, and alternative mating tactics: Revisiting what we know about the socially monogamous prairie vole. Adv Study Behav. 2020; 203–242. doi: 10.1016/bs.asb.2020.02.001 [DOI] [Google Scholar]
  • 44.Carter CS, Getz LL. Monogamy and the Prairie Vole. Scientific American. 1993;268: 100–106. doi: 10.1038/scientificamerican0693-100 [DOI] [PubMed] [Google Scholar]
  • 45.Getz LL, McGuire B, Pizzuto T, Hofmann JE, Frase B. Social Organization of the Prairie Vole (Microtus ochrogaster). American Society of Mammalogists. 1993;74: 44–58. [Google Scholar]
  • 46.Scotti M-AL, Carlton ED, Demas GE, Grippo AJ. Social isolation disrupts innate immune responses in both male and female prairie voles and enhances agonistic behavior in female prairie voles (Microtus ochrogaster). Horm Behav. 2015;70: 7–13. doi: 10.1016/j.yhbeh.2015.01.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Grippo AJ, Gerena D, Huang J, Kumar N, Shah M, Ughreja R, et al. Social isolation induces behavioral and neuroendocrine disturbances relevant to depression in female and male prairie voles. Psychoneuroendocrinology. 2007;32: 966–980. doi: 10.1016/j.psyneuen.2007.07.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Grippo AJ, Cushing BS, Carter CS. Depression-like behavior and stressor-induced neuroendocrine activation in female prairie voles exposed to chronic social isolation. Psychosomatic Medicine. 2007;69: 149–157. doi: 10.1097/PSY.0b013e31802f054b [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Carter CS, Grippo AJ, Pournajafi-Nazarloo H, Ruscio MG, Porges SW. Oxytocin, vasopressin and sociality. Progress in Brain Research. 2008;170: 331–336. doi: 10.1016/S0079-6123(08)00427-5 [DOI] [PubMed] [Google Scholar]
  • 50.Grippo AJ, Pournajafi-Nazarloo H, Sanzenbacher L, Trahanas DM, McNeal N, Clarke DA, et al. Peripheral oxytocin administration buffers autonomic but not behavioral responses to environmental stressors in isolated prairie voles. Stress. 2012;15: 149–161. doi: 10.3109/10253890.2011.605486 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Grippo AJ, Wu KD, Hassan I, Carter CS. Social isolation in prairie voles induces behaviors relevant to negative affect: toward the development of a rodent model focused on co‐occurring depression and anxiety. Dépress Anxiety. 2008;25: E17–E26. doi: 10.1002/da.20375 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Donovan M, Mackey CS, Platt GN, Rounds J, Brown AN, Trickey DJ, et al. Social isolation alters behavior, the gut-immune-brain axis, and neurochemical circuits in male and female prairie voles. Neurobiol Stress. 2020;13: 100278. doi: 10.1016/j.ynstr.2020.100278 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Donovan ML, Chun EK, Liu Y, Wang Z. Post-weaning Social Isolation in Male and Female Prairie Voles: Impacts on Central and Peripheral Immune System. Frontiers in Behavioral Neuroscience. 2022;15: 1–12. doi: 10.3389/fnbeh.2021.802569 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Pan Y, Liu Y, Young KA, Zhang Z, Wang Z. Post-weaning social isolation alters anxiety-related behavior and neurochemical gene expression in the brain of male prairie voles. Neurosci Lett. 2009;454: 67–71. doi: 10.1016/j.neulet.2009.02.064 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Peuler JD, Scotti M-AL, Phelps LE, McNeal N, Grippo AJ. Chronic social isolation in the prairie vole induces endothelial dysfunction: implications for depression and cardiovascular disease. Physiol Behav. 2012;106: 476–484. doi: 10.1016/j.physbeh.2012.03.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Lieberwirth C, Liu Y, Jia X, Wang Z. Social isolation impairs adult neurogenesis in the limbic system and alters behaviors in female prairie voles. Horm Behav. 2012;62: 357–366. doi: 10.1016/j.yhbeh.2012.03.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Perry AN, Carter CS, Cushing BS. Chronic social isolation enhances reproduction in the monogamous prairie vole (Microtus ochrogaster). Psychoneuroendocrinology. 2016;68: 20–28. doi: 10.1016/j.psyneuen.2016.02.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Lieberwirth C, Wang Z. The Social Environment and Neurogenesis in the Adult Mammalian Brain. Front Hum Neurosci. 2012;6: 118. doi: 10.3389/fnhum.2012.00118 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Keesom SM, Finton CJ, Sell GL, Hurley LM. Early-Life Social Isolation Influences Mouse Ultrasonic Vocalizations during Male-Male Social Encounters. PLoS ONE. 2017;12: e0169705. doi: 10.1371/journal.pone.0169705 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Broadfoot CK, Lenell C, Kelm-Nelson CA, Ciucci MR. Effects of social isolation on 50-kHz ultrasonic vocalizations, affective state, cognition, and neurotransmitter concentrations in the ventral tegmental and locus coeruleus of adult rats. Behav Brain Res. 2023;437: 114157. doi: 10.1016/j.bbr.2022.114157 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Inagaki H, Kuwahara M, Tsubone H, Mori Y. The effect of post-weaning individual housing on 50-kHz calls emitted from male rats to sexually receptive female rats. Physiol Behav. 2013;110: 30–33. doi: 10.1016/j.physbeh.2012.11.009 [DOI] [PubMed] [Google Scholar]
  • 62.Chabout J, Serreau P, Ey E, Bellier L, Aubin T, Bourgeron T, et al. Adult male mice emit context-specific ultrasonic vocalizations that are modulated by prior isolation or group rearing environment. PLoS ONE. 2012;7: 1–9. doi: 10.1371/journal.pone.0029401 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Pierce JD, Sawrey DK, Dewsbury DA. A comparative study of rodent ultrasonic vocalizations during copulation. Behav Neural Biol. 1989;51: 211–221. doi: 10.1016/s0163-1047(89)90842-x [DOI] [PubMed] [Google Scholar]
  • 64.Ma ST, Resendez SL, Aragona BJ. Sex differences in the influence of social context, salient social stimulation and amphetamine on ultrasonic vocalizations in prairie voles. Integrative Zoology. 2014;9: 280–293. doi: 10.1111/1749-4877.12071 [DOI] [PubMed] [Google Scholar]
  • 65.Gustison ML, Muñoz-Castañeda R, Osten P, Phelps SM. Sexual coordination in a whole-brain map of prairie vole pair bonding. bioRxiv. 2023; 2023.07.26.550685. doi: 10.1101/2023.07.26.550685 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.DeVries AC, Johnson CL, Carter CS. Familiarity and gender influence social preferences in prairie voles (Microtus ochrogaster). Can J Zoöl. 1997;75: 295–301. doi: 10.1139/z97-037 [DOI] [Google Scholar]
  • 67.Tschida K, Michael V, Takatoh J, Han B-X, Zhao S, Sakurai K, et al. A Specialized Neural Circuit Gates Social Vocalizations in the Mouse. Neuron. 2019;103: 459–472.e4. doi: 10.1016/j.neuron.2019.05.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Arakawa H. Ethological approach to social isolation effects in behavioral studies of laboratory rodents. Behav Brain Res. 2018;341: 98–108. doi: 10.1016/j.bbr.2017.12.022 [DOI] [PubMed] [Google Scholar]
  • 69.Stewart AM, Lewis GF, Yee JR, Kenkel WM, Davila MI, Carter CS, et al. Acoustic features of prairie vole (Microtus ochrogaster) ultrasonic vocalizations covary with heart rate. Physiol Behav. 2015;138: 94–100. doi: 10.1016/j.physbeh.2014.10.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Lee CR, Chen A, Tye KM. The neural circuitry of social homeostasis: Consequences of acute versus chronic social isolation. Cell. 2021;184: 1500–1516. doi: 10.1016/j.cell.2021.02.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Wallace KJ, Chun EK, Manns JR, Ophir AG, Kelly AM. A test of the social behavior network reveals differential patterns of neural responses to social novelty in bonded, but not non-bonded, male prairie voles. Horm Behav. 2023;152: 105362. doi: 10.1016/j.yhbeh.2023.105362 [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Luca Nelli

4 Sep 2024

PONE-D-24-33108Effects of short-term isolation on vocal and non-vocal social behaviors in prairie volesPLOS ONE

Dear Dr. Tschida,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please note that one reviewer in particular had major concerns on the way some of the results are interpreted.

Please submit your revised manuscript by Oct 19 2024 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Luca Nelli, PhD

Academic Editor

PLOS ONE

Journal requirements: 1. When submitting your revision, we need you to address these additional requirements. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf. 2. When completing the data availability statement of the submission form, you indicated that you will make your data available on acceptance. We strongly recommend all authors decide on a data sharing plan before acceptance, as the process can be lengthy and hold up publication timelines. Please note that, though access restrictions are acceptable now, your entire data will need to be made freely accessible if your manuscript is accepted for publication. This policy applies to all data except where public deposition would breach compliance with the protocol approved by your research ethics board. If you are unable to adhere to our open data policy, please kindly revise your statement to explain your reasoning and we will seek the editor's input on an exemption. Please be assured that, once you have provided your new statement, the assessment of your exemption will not hold up the peer review process.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

Reviewer #2: Partly

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: I Don't Know

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The paper “Effects of short-term isolation on vocal and non-vocal social behaviors in prairie voles” is the first direct assessment of the role of short-term (here, 3 days) social isolation on prairie vole social behavior. The authors assessed behavior of both males and females, and across social contexts (MM, MF, and FF). The authors find no difference in vocal behavior as a function of housing group (isolated or not), but found, akin to other rodent models, that more USVs are emitted by MF pairs than same-sex pairs. They also find no changes in affiliative behaviors as a function of housing group. In the case of aggressive behaviors though, they find an interaction between housing group and social contexts. However, as explained further below, the reporting of this result is somewhat misleading and should be reworked to more accurately frame the finding. Overall though, the findings add significantly to the literature of the effects of social isolation, and I did find it noteworthy that they do not provide evidence for the social homeostasis hypothesis in the prairie vole.

Major concerns:

1) As alluded to above, the biggest issue here is that the interpretation of the results as stated in the Abstract is misleading given the data provided. The paragraph starting at 242 tells us that ‘visitor-initiated aggression’ differed, but the interpretation of that result is that “the effects of short-term isolation on prairie vole aggression are sex- and context-dependent.” As shown in Figures 2A and B, the aggressive behavior of the isolated animals isn’t changing if they are group housed. Nor are there sex differences in the results (neither male nor female residents change their behavior in any of the contexts, nor is there an interaction within the resident-initiated or mutual-initiated behaviors). The only thing that changes is the behavioral response by the visitor. Yes, the authors provide greater context for this interpretation in the discussion, but its presence without context in the Abstract is misleading.

2) In the title and throughout the paper, the authors use the term “non-vocal social behaviors”, which I think is meant to indicate that they are social behaviors beyond USV emission. However, this reads as though they are silent social behaviors, which is not in any way assessed here. This terminology should be updated to be less ambiguous.

3) All plots need standard deviation indicators.

4) I’m not sure what data is actually presented in Figure 2. The axes say we’re looking specifically at fights, which represent a single aggressive behavior listed in the methods. But the figure caption says it’s more general “aggressive behavior” being shown. Please update this figure/caption to make it more clear what we’re looking at.

5) Expand the section for behavioral extraction.

a. How were behaviors actually scored? Was a specific program used? Did observers record start and stop times, or did they just have a stopwatch running to get total times?

b. Provide a specific definition for each behavior. This would answer several questions about the data; how was a fight specified as ‘mutually-initiated’? How did the aggressive ‘chase’ differ from the non-aggressive ‘follow’, etc.

6) Provide more information about USV extraction. The reference in the text is to a paper that uses Holy lab software to extract mouse USVs, but the parameters used in this manuscript differ. So how were the parameters optimized for prairie vole vocalizations? And if this is the first use of the code for prairie voles (if not, please provide a reference), how was the data ground-truthed and to what threshold of accuracy?

7) The discussion talks about previous work in other rodents where short-term isolation is less than 2 weeks. However, the authors chose to only do a 3 day isolation. Please explain that choice of duration. If the mouse/rat work is generally a 10 day isolation, for instance, it seems improper to compare the 3 day isolation here and claim a species difference.

8) Using total time in behavior doesn’t give a complete picture of the behavior. It would be nice to also see the raw numbers of behaviors as well as the average durations of behaviors. That would give the reader a better idea of what exactly may be changing (or not changing).

Minor concerns:

1) For the behavioral scoring, was any sort of inter-rater reliability metric used for training or for scoring the videos used in the experiment? It would be nice to have evidence of consistency in behavioral scoring.

2) For supplemental figure 1, in addition to adding the standard deviation bars, please indicate how many times each stimulus male was used within each housing type.

3) Can the authors explain the use of Tukey’s HSD for your post-hoc analysis? This test is not very conservative, and thus seems unlikely to control for spurious significance in the results.

4) In the discussion, the authors posit that (line 335), “perhaps [single-housed males] prolonged altercations.” While the data you provide is shown as total time, I assume it can be broken down to characterize the lengths of individual fights or aggressive behaviors? Can this be used to provide evidence for/against this possibility?

5) Figure 3D: the “MF>MM” seems to just be floating here. That could easily be interpreted that non-huddling is greater in MF than in MM. I would suggest finding another way to represent this result or at least describe this in the figure caption.

Reviewer #2: The goal of the research is to examine the effects of short-term social isolation on

social interaction of introduced and unfamiliar male-male, male-female and male-female adult prairie voles. The general concept is to emphasize short-term isolation in less traditional species (compared to house mice and rats) with more selective bonds such as might occur in monogamous species like prairie voles (although the effect of this is more likely to occur in familiar individuals). This study is useful for characterizing effects of isolation specifically in prairie voles because there is evidence that they may respond differently to short term isolation compared rats and house mice. It is assumed that the effects of isolation on social behavior have not been examined in other nontraditional species?

Lines 111-112: For the phrase “Previous studies have found that rates of rodent USVs

112 are responsive to both short- and long-term social isolation [38,59–62]” please provide the direction of the effect on USVs (increase vs decrease).

The “visitors” used to intrude on the resident’s home cage were used a number of times such that “no visitor was used more than 11 times within 60 days.” This seems like a large number and it is possible that the experience of the visitors could have influenced the behavior of the residents (as occurred in the current study). Identity of intruders was controlled for, but not the number of times that visitors/intruders were used. The level of stress could vary and perceived defeat could stress the visitor/intruder. Please address this issue.

A visual of the setup for recording the vocalizations would be useful, including the plexiglas sleeve and the placement of the microphone. Please also state the number of animals that were excluded for each of the three reasons stated on 173-175

In the results it was found that short term isolation of males induced the visitor males to be more aggressive. One reasonable speculative explanation is that isolated males were producing more alarm pheromones. One practical explanation emphasized was that the behaviors were likely missed. Please explain whether this could have occurred because of behavioral coding or because the entire arena/cage was not visible when behavior was recorded. Expanding on the idea that a short term isolation could decrease social skills could also be explained in more detail.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2024 Nov 11;19(11):e0313172. doi: 10.1371/journal.pone.0313172.r002

Author response to Decision Letter 0


26 Sep 2024

We thank the Reviewers and the Editor for their thoughtful and helpful comments. We believe that our manuscript has improved after addressing these concerns. Below, we address in turn the specific concerns raised by each Reviewer. Please note that all line numbers referenced below refer to the version of our revised manuscript that includes tracked changes, viewed as ‘all markup’.

Responses to Reviewer 1

Reviewer 1 Major Concerns

1) As alluded to above, the biggest issue here is that the interpretation of the results as stated in the Abstract is misleading given the data provided. The paragraph starting at 242 tells us that ‘visitor-initiated aggression’ differed, but the interpretation of that result is that “the effects of short-term isolation on prairie vole aggression are sex- and context-dependent.” As shown in Figures 2A and B, the aggressive behavior of the isolated animals isn’t changing if they are group housed. Nor are there sex differences in the results (neither male nor female residents change their behavior in any of the contexts, nor is there an interaction within the resident-initiated or mutual-initiated behaviors). The only thing that changes is the behavioral response by the visitor. Yes, the authors provide greater context for this interpretation in the discussion, but its presence without context in the Abstract is misleading.

We agree with this comment and have edited the corresponding sentences in the Abstract to more accurately communicate our findings (lines 25-28).

2) In the title and throughout the paper, the authors use the term “non-vocal social behaviors”, which I think is meant to indicate that they are social behaviors beyond USV emission. However, this reads as though they are silent social behaviors, which is not in any way assessed here. This terminology should be updated to be less ambiguous.

The term “non-vocal social behaviors” was intended to indicate social behaviors beyond USV emission (as stated by the Reviewer). More generally, we used the term “non-vocal” to refer to behaviors that were scored from video recordings, as compared to USVs, which were detected from audio recordings. We agree with the Reviewer that we did not assess whether social behaviors scored from video recordings are silent, and we intend to compare the timing (and acoustic features) of USVs to the timing of social behaviors scored from video recordings in a follow-up manuscript.

For the purposes of the current manuscript, we have eliminated the terms “non-vocal” and “vocal” throughout the manuscript. The term “social behavior” is now used to encompass USVs, as well as social behaviors scored from video recordings. USVs are now defined as such (rather than referred to as “vocal” behavior), and categories of social behaviors scored from videos are listed individually where discussed. We have also updated the title of the manuscript accordingly.

3) All plots need standard deviation indicators.

We have added the requested error bars, although we have opted to use standard error, because the addition of standard deviation error bars made it difficult to visualize the individual data points shown within the plots.

4) I’m not sure what data is actually presented in Figure 2. The axes say we’re looking specifically at fights, which represent a single aggressive behavior listed in the methods. But the figure caption says it’s more general “aggressive behavior” being shown. Please update this figure/caption to make it more clear what we’re looking at.

Thank you for catching this oversight. The y axes in Figure 2 should have been labeled “aggressive behavior” (sum of time spent in chasing and fighting; more information on chasing is provided below in response to the Reviewer’s next point). We have changed the y axis labels in Figure 2 accordingly.

5) Expand the section for behavioral extraction.

a. How were behaviors actually scored? Was a specific program used? Did observers record start and stop times, or did they just have a stopwatch running to get total times?

Trained observers watched videos (using Windows Media Player or similar software) and used an Excel spreadsheet to record start and stop times for different behaviors. This information has been added to the Methods (lines 209-210).

b. Provide a specific definition for each behavior. This would answer several questions about the data; how was a fight specified as ‘mutually-initiated’? How did the aggressive ‘chase’ differ from the non-aggressive ‘follow’, etc.

For both aggressive and non-aggressive behaviors, mutually-initiated behavior was defined as behavior that followed simultaneous approach by both voles. Directional behavior (either resident-initiated or visitor-initiated) was defined as behavior that occurred after one vole approached the other).

Follows were defined as pursuit that was not associated with fighting (biting, boxing, or tussling). Chases were defined as pursuit that was associated with fighting. This information has been added to the Methods (lines 213-221).

6) Provide more information about USV extraction. The reference in the text is to a paper that uses Holy lab software to extract mouse USVs, but the parameters used in this manuscript differ. So how were the parameters optimized for prairie vole vocalizations? And if this is the first use of the code for prairie voles (if not, please provide a reference), how was the data ground-truthed and to what threshold of accuracy?

Yes, this manuscript is the first use of our USV detection code for prairie voles. The values of two of the three parameters (mean spectral purity < 0.3; mean spectral discontinuity < 1.00) do not differ from those that we use currently to detect mouse USVs. A small comment is although we used a lower spectral discontinuity threshold to detect USVs in earlier mouse studies (< 0.85; Tschida et al., 2019; Zhao et al., 2021), we later increased the value of this threshold to improve detection accuracy given the recording conditions in our vivarium space. For the third parameter (mean frequency), we lowered the threshold relative to what we use for mouse USV recordings (from 45 Hz to 17 kHz), to account for the fact that many prairie vole USVs are lower in frequency compared to mouse USVs.

To evaluate the accuracy of our USV detection, we generated spectrograms of each detected ‘putative’ USV from eight, representative 30-minute-long audio recordings from our dataset (n = 5800 putative USVs in total; from n = 4 male-male trials, n = 1 female-female trials, and n = 3 male-female trials). A trained observer rated each spectrogram as either containing a USV or not containing a USV. From this analysis, we calculated that 91.2 +/- 3.6% (in total, 5305 of 5800) of putative USVs detected by the code are true USVs, and correspondingly, we estimate a false positive rate of ~8.8%. This information has been added to the Methods (lines 194-200).

7) The discussion talks about previous work in other rodents where short-term isolation is less than 2 weeks. However, the authors chose to only do a 3 day isolation. Please explain that choice of duration. If the mouse/rat work is generally a 10 day isolation, for instance, it seems improper to compare the 3 day isolation here and claim a species difference.

The effects of short-term isolation on behavior are understudied relative to the effects of long-term isolation, and as such, there isn’t an agreed upon standard duration of short-term isolation that is used across rodent studies. Our choice of duration was motivated specifically by our aim to replicate the design of our recent study in mice, which represents the most comprehensive characterization of the effects of short-term isolation on adult, mouse social behavior conducted to date (Zhao et al., 2021). In that study, we found robust effects of 3-days of isolation on the behavior of mice, particularly in female mice that subsequently engaged in same-sex interactions. We have modified the final paragraph of the Introduction to clarify this motivation for our choice of 3-days of social isolation (line 112).

8) Using total time in behavior doesn’t give a complete picture of the behavior. It would be nice to also see the raw numbers of behaviors as well as the average durations of behaviors. That would give the reader a better idea of what exactly may be changing (or not changing).

As noted above by the Reviewer, the main finding of our study is that the social behaviors of subject/resident prairie voles were not altered by 3 days of social isolation. As such, we do not think it is of interest to consider numbers of bouts or mean durations of bouts of these behaviors, although we do include the behavior scoring (as Excel sheets) for each trial in our dataset within the publicly accessible data repository for this study.

In the case of the one category of social behavior that was significantly altered following 3 days of social isolation (increased visitor-initiated aggressive behavior in male-male pairs that contained a single-housed resident vs. group-housed resident), we have analyzed the total numbers of bouts of visitor-initiated aggressive behaviors, as well as the mean durations of these bouts. Both increase significantly (chi-squared = 4.7, p = 0.03 for bout number analysis; chi-squared = 5.5, p = .02 for bout duration analysis). We include plots of these analyses below for the Reviewer, and these findings have also been added in text to the Results section (lines 275-279).

Reviewer 1 Minor concerns

1) For the behavioral scoring, was any sort of inter-rater reliability metric used for training or for scoring the videos used in the experiment? It would be nice to have evidence of consistency in behavioral scoring.

One of the authors (N.M.P.) initially scored behavior from a subset of videos in our dataset (n = 5) that collectively contained all behaviors to be scored. Three additional observers were then trained on this training dataset, and they scored additional videos only after their scoring matched the trainer’s scoring perfectly for each video (100% inter-observer agreement). Outside of the training dataset, each video was scored by only one observer, and the trainer continued to perform intermittent spot checks of scoring accuracy. This information has been added to the Methods (lines 204-209).

2) For supplemental figure 1, in addition to adding the standard deviation bars, please indicate how many times each stimulus male was used within each housing type.

We have added errors bars indicating standard errors to Figure S2 (previously Figure S1), and the number of times each visitor male was used within each housing type has been added to the figure legend.

3) Can the authors explain the use of Tukey’s HSD for your post-hoc analysis? This test is not very conservative, and thus seems unlikely to control for spurious significance in the results.

The Tukey HSD test is a common and well-accepted post-hoc test that is appropriate for our analyses. To re-assure the Reviewer that our results have not been unduly influenced by our choice of post-hoc test, we repeated our post-hoc pairwise comparisons of time spent in visitor-initiated aggressive behavior, this time using the Bonferroni-adjusted post-hoc tests. With this analysis, we still find that time spent in visitor-initiated aggressive behavior is significantly greater for MM pairs that contained a single-housed resident than for MM pairs that contained a group-housed resident (p = 0.01).

4) In the discussion, the authors posit that (line 335), “perhaps [single-housed males] prolonged altercations.” While the data you provide is shown as total time, I assume it can be broken down to characterize the lengths of individual fights or aggressive behaviors? Can this be used to provide evidence for/against this possibility?

We include this analysis in response to major point #8 above and in the Results section (lines 275-279). We have modified the relevant sentence within the Discussion to better reflect these additional findings (lines 367-368).

5) Figure 3D: the “MF>MM” seems to just be floating here. That could easily be interpreted that non-huddling is greater in MF than in MM. I would suggest finding another way to represent this result or at least describe this in the figure caption.

Thanks for noting this potential source of confusion. We have modified the way in which statistical significance is indicated in Figure 3D (now indicated with line + asterisk).

Responses to Reviewer 2 Concerns

1) Lines 111-112: For the phrase “Previous studies have found that rates of rodent USVs

112 are responsive to both short- and long-term social isolation [38,59–62]” please provide the direction of the effect on USVs (increase vs decrease).

Two of the cited studies (refs #38 and #62) report an increase in USV rates following social isolation; one study reports an increase in USV rates, as well as changes in acoustic features (ref #59); one study reports a decrease in USV rates (#61); and one study reports only changes in USV acoustic features but not in rates (ref #60). We note that these studies were heterogeneous in the both the timing and duration of social isolation employed, as well as the sex of the subject animals.

Given that the results of these studies are not uniform in direction, we cannot concisely summarize each of the results but instead have modified this sentence to better reflect that both rates and acoustic features of USVs can be altered by social isolation (line 116).

2) The “visitors” used to intrude on the resident’s home cage were used a number of times such that “no visitor was used more than 11 times within 60 days.” This seems like a large number and it is possible that the experience of the visitors could have influenced the behavior of the residents (as occurred in the current study). Identity of intruders was controlled for, but not the number of times that visitors/intruders were used. The level of stress could vary and perceived defeat could stress the visitor/intruder. Please address this issue.

Although by and large, three days of social isolation did not affect vole social behaviors, we report that visitor males interacting with single-housed male residents spend significantly more time engaged in visitor-initiated aggression compared to visitor males that interacted with group-housed male residents. The Reviewer raises the important point that repeated social interactions for a given visitor might alter their levels of stress, which in turn might alter the behavior of the visitor and could potentially contribute to this significant result.

To test this idea, we performed a modified analysis of time spent in visitor-initiated aggressive behavior in MM trials, using a model that controlled for both visitor identity, as well as the number of previous trials in which each visitor was used before the current trial. This modified analysis did not alter our finding that visitor males interacting with single-housed male residents spent more time in visitor-initiated aggression than visitor males interacting with group-housed residents (chi-squared = 1.302, p = 0.007).

3) A visual of the setup for recording the vocalizations would be useful, including the plexiglas sleeve and the placement of the microphone. Please also state the number of animals that were excluded for each of the three reasons stated on 173-175

We now include a photo of the set-up, including a view from the side and an overhead view (Fig. S1).

In addressing the second portion of this comment, we realized that there was a typo in the earlier summary of voles excluded. The total number of excluded trials is 17. Ten trials were excluded because a vole jumped on top of the microphone and/or chamber, 3 trials were excluded because the experimenter stopped the recording before the 30-minute mark, and 4 trials were excluded because the visitor ID was not recorded. This information has been added to the Methods (lines 178-182).

4) In the results it was found that short term isolation of males induced the visitor males to be more aggressive. One reasonable speculative explanation is that isolated males were producing more alarm pheromones. One practical

Attachment

Submitted filename: Madrid, Pranic et al., Response to Reviewers.docx

pone.0313172.s004.docx (93.9KB, docx)

Decision Letter 1

Wolfgang Blenau

21 Oct 2024

Effects of short-term isolation on social behaviors in prairie voles

PONE-D-24-33108R1

Dear Dr. Tschida,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice will be generated when your article is formally accepted. Please note, if your institution has a publishing partnership with PLOS and your article meets the relevant criteria, all or part of your publication costs will be covered. Please make sure your user information is up-to-date by logging into Editorial Manager at Editorial Manager® and clicking the ‘Update My Information' link at the top of the page. If you have any questions relating to publication charges, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Wolfgang Blenau

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: (No Response)

Reviewer #2: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

**********

Acceptance letter

Wolfgang Blenau

30 Oct 2024

PONE-D-24-33108R1

PLOS ONE

Dear Dr. Tschida,

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team.

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

* All references, tables, and figures are properly cited

* All relevant supporting information is included in the manuscript submission,

* There are no issues that prevent the paper from being properly typeset

If revisions are needed, the production department will contact you directly to resolve them. If no revisions are needed, you will receive an email when the publication date has been set. At this time, we do not offer pre-publication proofs to authors during production of the accepted work. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few weeks to review your paper and let you know the next and final steps.

Lastly, if your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

If we can help with anything else, please email us at customercare@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Wolfgang Blenau

Academic Editor

PLOS ONE

Associated Data

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

    Supplementary Materials

    S1 Fig. Behavioral chamber setup.

    (A) The home cage of the resident vole (a) was placed inside a plexiglass sleeve (b), with a small amount of foam padding (c) placed to fill any gaps between the edge of the home cage and the wall of the sleeve. The chamber was equipped with an ultrasonic microphone (d) and a webcam (e). Please note that although only the resident vole is present in this image, both a resident and visitor vole were placed in the chamber for each social interaction test. (B) View of the behavioral chamber from the overhead webcam.

    (PDF)

    pone.0313172.s001.pdf (696.5KB, pdf)
    S2 Fig. Mean time spent in visitor-initiated aggressive behavior for male visitors during interactions with single-housed vs. group-housed male residents.

    Mean time (in seconds) that male visitors engaged in visitor-initiated aggressive behavior when interacting with group-housed vs. single-housed male residents. Lines and data points are color-coded by the identity of the male visitor. Data points show mean values, and error bars indicate standard errors. Visitor males #4 and #5 were each used in n = 2 trials with group-housed (GH) residents and n = 2 trials with single-housed (SH) residents. Visitor male #7 was used in n = 5 trials with GH residents and n = 6 trials with SH residents. Visitor male #8 was used in n = 5 trials with GH residents and n = 4 trials with SH residents.

    (PDF)

    pone.0313172.s002.pdf (240.7KB, pdf)
    S3 Fig. Additional quantification of huddling.

    (A) Time (in seconds) that pairs of voles spent engaged in huddling during social interaction trials is shown. Orange, trials with group-housed residents; blue, trials with single-housed residents. Bars indicate mean values, and error bars indicate standard errors. (B) Pie charts showing the number of pairs engaged in huddling in MF (top), FF (middle), and MM (bottom) social interactions, shown separately for pairs that included group-housed residents vs. single-housed residents. White shading indicates the proportion of trials in which pairs of voles did not huddle, and teal shading indicates the proportion of trials in which pairs engaged in huddling.

    (PDF)

    pone.0313172.s003.pdf (402.6KB, pdf)
    Attachment

    Submitted filename: Madrid, Pranic et al., Response to Reviewers.docx

    pone.0313172.s004.docx (93.9KB, docx)

    Data Availability Statement

    All data associated with this study are made available through Cornell eCommons (https://doi.org/10.7298/dj90-fc26).


    Articles from PLOS ONE are provided here courtesy of PLOS

    RESOURCES