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. 2021 Feb 23;16(2):e0241403. doi: 10.1371/journal.pone.0241403

Behavioral phenotyping of mice lacking the deubiquitinase USP2

Shashank Bangalore Srikanta 1,2, Katarina Stojkovic 1,2, Nicolas Cermakian 2,3,*
Editor: Henrik Oster4
PMCID: PMC7901773  PMID: 33621249

Abstract

Ubiquitin specific peptidase 2 (USP2) is a deubiquitinating enzyme expressed almost ubiquitously in the body, including in multiple brain regions. We previously showed that mice lacking USP2 present altered locomotor activity rhythms and response of the clock to light. However, the possible implication of USP2 in regulating other behaviors has yet to be tested. To address this, we ran a battery of behavioral tests on Usp2 KO mice. Firstly, we confirmed our prior findings of increased daily activity and reduced activity fragmentation in Usp2 KO mice. Further, mice lacking USP2 showed impaired motor coordination and equilibrium, a decrease in anxiety-like behavior, a deficit in working memory and in sensorimotor gating. On the other hand, no effects of Usp2 gene deletion were found on spatial memory. Hence, our data uncover the implication of USP2 in different behaviors and expands the range of the known functions of this deubiquitinase.

Introduction

Ubiquitination is the process of covalent attachment of a 76 kDa long protein called Ubiquitin to other proteins. While ubiquitination has multiple roles in the functioning of the cell, including protein localization and trafficking [1], its most salient function is the targeting of tagged proteins for degradation [2]. Ubiquitination is carried out by a group of enzymes known as E3 ubiquitin ligases [2, 3]. The process of ubiquitination is counteracted by the process of deubiquitination, which is mediated by enzymes known as deubiquitinases or DUBs. These opposing processes can, in essence, determine the timing of various processes such as degradation, activity and localization of proteins.

While various DUBs are found in different tissues and cell types, Ubiquitin Specific Peptidase 2 or USP2 is one of the DUBs that has been found to be expressed almost ubiquitously in the organism [47]. More interestingly, it is the only DUB that has been found to have a circadian pattern of expression in virtually all the tissues where it is expressed [7, 8].

Circadian rhythms are self-sustaining oscillations with a period of approximately 24 hours, which are sustained at the molecular level by negative feedback loops involving circadian clock genes [9]. The counterbalance between ubiquitination and deubiquitination is essential to accurately control the timing of degradation of several clock proteins and hence, to the maintenance of periodicity in the clock [10]. Previous studies have shown that the deubiquitinase USP2 modulates the stability and/or localization of clock gene products BMAL1, PER1 and CRY1 [1114]. Surprisingly though, despite its interaction with many of the core clock components, knocking out Usp2 in mice did not lead to proportionally severe circadian deficits [11, 12]. Our group showed that USP2 modulates the response of the clock to light [11]. We also showed that Usp2 KO mice have a slightly longer period than WT littermates [11]. While no other significant phenotypes were noticed under a normal light:dark cycle, a trend towards increased total activity over 24 hours was observed in the Usp2 KO mice, compared to WT mice [11].

Ubiquitination, and ubiquitinating/deubiquitinating enzymes, have been associated with various behaviors as well as neurological and psychiatric disorders, such as bipolar disorder [15, 16], neurodevelopmental disorders [15, 17, 18], and Parkinson’s disease [19]. Searching the mouse brain expression data in the Allen Mouse Brain Atlas [20], we noticed that Usp2 is expressed in many brain regions. Hence, we aimed to test the hypothesis that USP2 plays a role in modulating various behaviors beyond circadian rhythms. To test this, we subjected Usp2 KO and WT mice to a battery of tests, to assay various behaviors such as daily wheel running behavior, motor coordination, anxiety-like behavior, sensorimotor gating and memory. We confirmed that the Usp2 KO mice showed increased and more consolidated running wheel activity, which was not due to increased motor coordination. Further, based on high Usp2 expression in the hippocampus and cortex, we tested the mice for anxiety-like behavior and memory, and noticed a reduction in anxiety-like phenotypes and deficits in the working memory of Usp2 KO mice, but not in their spatial memory. Based on Usp2 expression in the olfactory bulb, striatum, thalamus and prefontal cortex, we assessed sensorimotor gating, for which limited effects of Usp2 gene deletion were found.

Materials and methods

Animals

Usp2 KO mice [21] were obtained from Dr. Simon S. Wing and bred in house. Usp2 KO and WT littermates (on a C57BL/6J background) were generated by breeding heterozygotes. In some cases, PER2::LUC knockin mice (on a C57BL/6J background) were used as controls. This PER2 gene modification was shown not to affect PER2 function, mouse health, general activity or wheel-running activity [22]. Four such mice were used in the wheel running, rotarod, novel object recognition and pre-pulse inhibition tests. In all cases, similar effects of the KO were seen irrespective of whether or not these mice were included in the analyses.

Mice were weaned at 3 weeks of age, into cages containing no more than 5 mice per cage. They were maintained on a 12h:12h light:dark cycle (with light at ~200 lux). At 2 to 3 months of age, male mice were designated to running wheel or (non-circadian) behavioral cohorts. All procedures involving animals were carried out in accordance with guidelines of the Canadian Council on Animal Care and approved by the Animal Care Committees of McGill University and Douglas Mental Health University Institute (protocol no. 2001–4586). For euthanasia at the end of the experiments, the animals were first anesthetized by isoflurane inhalation, followed by CO2 euthanasia; all efforts were made to minimize suffering.

Wheel-running behavior

For running wheel experiments, 2 to 3-month-old WT and KO mice (n = 6) were transferred to running wheel-equipped cages (Actimetrics, Wilmette, IL, USA), where they were singly housed, with ad-libitum access to food and water. After a baseline week for acclimatization, wheel running activity was recorded for three weeks, in the same LD cycle. The last 10 days of recorded data were analysed on the Clocklab software Version 6 (Actimetrics, Wilmette, IL, USA). Daily wheel rotations, number of bouts of activity per day, length of each activity bout and number of wheel rotations in each bout were quantified. One mouse (KO) was excluded from the analysis because its wheel running activity was not recorded on the software.

Non-circadian behavioral tests

WT mice (6-12/group) and Usp2 KO mice (10-12/group) went through Rotarod, Elevated plus maze (EPM), Novelty suppressed feeding (NSF), Novel object recognition (NOR), Morris water maze (MWM) and Pre-pulse inhibition (PPI) of acoustic startle. To account for time-of-day effects on behavior, all behavioral tests were carried out between one and five hours after lights on. Tests were performed under dim light conditions (~15 lux) unless noted otherwise. The groups (WT and KO) were counterbalanced between tests and between trials. Mice were habituated to the testing room for 30 minutes, prior to the start of each session of behavioral testing. EPM, NSF and NOR tests were video recorded to minimize interaction with the mice and to reduce the resulting stress levels. All the mice in the video recordings of the behaviors were tracked using the TopScan 2.0 software (Clever Sys, Restin, VA, USA). Since some tests measured anxiety-like behaviors or could be affected by stress, all mice were given 2 “recovery days” between each test, during which they were not handled or disturbed.

Rotarod

The Rotarod test assays motor coordination, equilibrium and balance [23]. This test was carried out over two days. On the first day, each mouse was habituated to the rotarod (Bioseb, Valbonne, France). For the habituation phase, the ridged cylinder was made to rotate at a constant speed of 5 rotations-per-minute (rpm) for two 3-minute long trials and 10 rpm for two 3-minute long trials. During each of these trials, the mice were put back on the rod if they fell, until the timer ran out. Each mouse got a rest period of at least 15 minutes in its home cage between each subsequent trial.

For the testing day, each mouse was tested for three trials. It was placed on the rotarod, which accelerated at a constant rate, from 4 to 40 rpm, over a 5-minute span (acceleration = 7.2 rpmpm). When the mouse fell off the cylinder, onto the press plate placed 20 cm below the rod, the time taken to fall off the rod was recorded. After the fall, they were returned to their home cage. The greater their latency to fall, the greater is their motor coordination, equilibrium and/or balance. Two mice were excluded from this analysis (1 WT and 1 KO) as they refused to run on the rotarod.

Open field test

The open field test measures general locomotor activity in mice [24]. For this test, we used a VersaMax Legacy Open Field setup (AccuScan Instruments, Inc., Columbus, OH, USA). Mice were left to explore the VersaMax acrylic activity chamber with infrared sensors for 50 minutes while the experimenter was absent from the room. Data were collected using the Versamax Software (version 4.0, 2004; AccuScan Instruments, Inc., Columbus, OH, USA). From the collected data, total distance travelled in 50 minutes was plotted.

Elevated plus maze

Anxiety-like behavior was measured using the elevated plus maze (EPM) [25]. The maze is elevated 75 cm from the floor and consists of 4 arms shaped like a cross and painted black. Two opposing arms are enclosed by 10 cm high walls on three sides, while the other two are open. For the assay, each mouse was placed in the center of the maze, facing an open arm. The mouse was then allowed to freely explore the maze for 5 minutes, after which it was returned to its home cage. The total time spent in the open and closed arms, as well as in the center were measured. The longer a mouse spends in the open arms, the less anxiety-like behavior it is considered to show. Proportion of time spent in open arms was calculated as:

%timeinopenarms=(timespentinopenarms(s))+0.5*(timespentinthemiddle(s))300s

Novelty-suppressed feeding

The novelty suppressed feeding (NSF) test is an assay of anxiety-like behavior in a conflict-based environment [26, 27]. Mice were fasted for 24 hours before the start of the test. Then, each mouse was placed in a grey 48 cm X 48 cm X 48 cm box, in a well-lit area. At the center of the box, a fixed food pellet (standard chow) was available for the mouse to feed on. Thus, the mouse needs to choose between the anxiogenic setting of feeding in an open, well lit area as opposed to the safety of walls, but without any food availability. The mouse was allowed to explore this setting for 10 minutes and the latency to feed was measured, being careful to not include food manipulation or sniffing behaviors in this measure. The longer a mouse takes to feed, the higher its anxiety-like phenotype.

After this, the mouse was transferred to a quiet area, into a cage containing pre-weighed quantities of food and the amount of food they ate over a further 10-minute span was recorded. This measure assesses the hunger levels of the mice and whether differences due to the food deprivation itself influences the observations within the arena.

Additionally, to factor in the possibility of a general difference in appetite between KOs and WTs, at the end of the NSF protocol, the mice were weighed daily for 9 days and the amount of food that they consumed was noted over these days.

Novel object recognition

The novel object recognition (NOR) test measures learning and memory in mice [28]. NOR involves three phases spread over two days. On the first day, each mouse was acclimatized to an empty grey 48cm X 48cm X 48cm box by allowing it to freely explore the box for 10 minutes. On the second day, the first phase of the day is the habituation phase where the mouse was allowed to freely explore the grey box for 10 minutes. Each box contained two identical objects (either two 75 mm tissue culture flasks filled with corn cob bedding, or two boxes of coverslips) placed at opposite corners of the box, 12 cm away from each of the two nearest walls. The mouse was then returned to its home cage. The second phase of the day is the novel object recognition phase, which tests recall from working memory. In this phase, which starts 4 hours after the habituation phase, one of the objects in each box was exchanged for a differently shaped object (tissue culture flask as a replacement for coverslip box and vice-versa). The mouse was then allowed to freely explore the arena for 10 more minutes. The time spent exploring the two objects was separately recoded, in both phases. A mouse was considered to be involved in object exploration if its head was directed towards the object, within a radius of approximately 2 to 3 cm from it. This analysis was carried out using the TopScan 2.0 software. Mice tend to prefer exploring novel objects, over familiar objects. Hence, the exploration of the novel object is a measure of the extent to which the animal remembers the previous encounter with the familiar object. The ability to discriminate between the novel and familiar object was measured by the Discrimination Ratio (DR), calculated as:

DR=TimespentexploringnovelobjectTimespentexploringfamiliarobject

A DR of 1 shows a lack of discrimination between the two objects. DR > 1 shows that the mouse is interacting with the novel object more than the familiar object.

Using the TopScan 2.0 software, the total distance traveled by the mice during the trials were also measured.

Morris water maze

The Morris water maze (MWM) assesses spatial memory [29, 30]. The maze consists of a large circular swimming pool (diameter of 150 cm) filled with opaque water with a platform (225 cm2) submerged 1 cm below the surface of the water. The mice must reach the platform in order to be able to stop swimming and rest. Spatial cues were placed on the pool walls to allow the mice to learn the location of the platform. The learning stage was 4 days long, with each day consisting of 4 trials, each with the mouse beginning at a different location in the pool. The inter-trial interval was at least 30 min. The time to reach the platform was recorded at every trial, to compare the patterns of learning. On day 5 of the experiment, the platform was removed, and the time spent in each quadrant of the pool in the span of 1 minute was recorded, to test the robustness of spatial learning (probe trial). Then, a cue trial, where the platform is placed in a new location along with a visual cue, was administered to verify that the visual system was intact in the animals. The latency to reach the platform and time spent in the appropriate quadrant in the probe trial were analyzed and calculated using HVS Image Analysis (HVS Image, Hampton, UK).

Pre-pulse inhibition of acoustic startle

Pre-pulse inhibition (PPI) of acoustic startle reflex is a measure of sensory-motor gating [31, 32]. Testing is carried out using the SR-Lab software connected to 6 sound attenuating chambers equipped with plexiglass animal enclosure tubes (San Diego Systems, San Diego, CA, USA). These chambers are ventilated by an electrical fan that produces a constant 70 dB background. Speakers positioned directly above the enclosure present tone pulses of differing loudness and the startle of the animal is recorded by an accelerometer attached to the base of the enclosure. Following a 5-minute acclimatization period in the tube, there were 3 phases in the paradigm. In the first and third phases, 6 startle pulses of 120 dB loudness and lasting for 30 msec each, were administered. In the second phase, 38 trials were administered. The first 8 trials were pulse only (startle only) trials. In the next 30 trials, the mouse received a 30 msec pre-pulse of 0 (pulse alone), 6, 9, 12 or 15 dB intensity above the background, 100 msec prior to the actual 120 dB pulse. These pre-pulses were randomly varied across the 30 trials spaced 15 msec apart, 5 of each of the pre-pulse trials presented to the animals. The average amplitude of startle in the last 15 startle-only trials is the baseline startle. % Pre-pulse inhibition (% PPI) is calculated as:

%PPI=100-Startleresponsetotrialswithpre-pulseStartleresponsetopulsealonetrials*100

The higher the % PPI, greater is the inhibition of acoustic startle when subjected to a low intensity sound pulse prior to the startle. In essence, a higher PPI shows higher sensorimotor gating. Two mice were excluded from this analysis (1 WT and 1 KO) for having impossibly high baseline startle levels, pointing to a recording error in the data of these mice.

Statistical analysis of data

All the data were analyzed first for homogeneity of variances as well as normality of data. The data were plotted and analyzed on GraphPad Prism, using the appropriate statistical tests. For all the tests with data distributed normally and having equal variance across the groups (WT, KO), unpaired two-tailed t-tests were used (Wheel running data, Rotarod, EPM, NSF, NOR, probe and cue trials of MWM). In the cases where variances were not normal (Distance traveled during NOR phase), Welch’s correction was applied to the two-tailed, unpaired t-test. If the normality assumption was violated (Average startle, Average % PPI), the two-tailed Mann-Whitney test was used. For comparing between Habituation and NOR phases in the NOR task, paired, two-tailed t-tests were used. Mixed model 2-way ANOVAs were used to compare the daily consumption of food and weights of the mice in the days after NSF, learning across days (MWM) and % PPI across different pre-pulse intensities (PPI). Differences were considered to be significant if p < 0.05.

Results

Mice show altered activity patterns in the absence of USP2

WT and Usp2 KO mice were placed in running wheel cages and locomotor activity was recorded under a 12h:12h light:dark cycle (representative actograms in Fig 1A). Usp2 KO mice showed a trend (p = 0.06) for more total daily activity than WT mice (Fig 1B). Further, the duration of activity bouts was significantly longer in KO mice (p = 0.049, Fig 1C) and the average number of bouts per day was lower (p = 0.14, S1A Fig). The total counts of wheel rotation per bout of activity was also significantly increased in Usp2 KOs, compared to WTs (p = 0.0481, S1B Fig). Overall, these data indicated increased and less fragmented activity in mice lacking USP2. These data are consistent with those previously obtained in our laboratory [11].

Fig 1. Increased daily activity and less fragmentation of activity in Usp2 KO mice.

Fig 1

(A) Representative actograms for the wheel running activity of WT and Usp2 KO mice over 10 days under a 12h:12h light:dark cycle. (B, C) Quantification, averaged over the 10 days, of the total daily activity (B) and the average bout length (C). Individual data points represent independent mice (n: WT = 6, KO = 5) and data are represented as mean ± SEM. Unpaired two-tailed t-tests, *: p < 0.05.

Motor coordination is reduced in mice lacking USP2

The increased activity and reduced fragmentation in running wheels led us to wonder if this phenotype could be the result of a change in motor coordination in the Usp2 KO mice. To assay this, mice were subjected to the rotarod protocol, which assesses motor coordination and balance by evaluating the ability of the mouse to stay on top of a rotating cylinder. Usp2 KO mice spent significantly less time on the accelerating cylinder (t(20) = 2.49, p = 0.022, Fig 2) and fell from the cylinder at lower speeds (WT: 18.11 ± 1.35 rpm, KO: 13.94 ± 1.31 rpm, t(21) = 2.21, p = 0.038) compared to WT mice, pointing towards a reduction of motor coordination in mice lacking USP2. Hence, a change in motor coordination does not explain the increased activity phenotype seen in the running wheel experiments.

Fig 2. Reduced motor coordination in Usp2 KO mice.

Fig 2

Measurement of time spent on the accelerating rotarod by WT and Usp2 KO mice. Individual data points represent independent mice (n: WT = 11, KO = 11) and data are represented as mean ± SEM. Unpaired two-tailed t-tests, *: p < 0.05.

While motivated locomotor activity did not correlate with motor coordination phenotypes, we questioned whether it might have an effect on general locomotion in the Usp2 KO mice. This was assayed using the open field test (OFT), which assesses the general locomotion of mice when subjected to a novel environment. The total distance covered by the mice in 50 minutes showed no differences between the general locomotion of the two genotypes (t(15) = 0.884, p = 0.391, S1C Fig).

Anxiety-like behavior is decreased in mice lacking USP2

We surveyed Usp2 gene expression in the mouse brain expression database in the Allen Mouse Brain Atlas (https://mouse.brain-map.org/experiment/show?id=76098316) [20]. As shown in Table 1, Usp2 is expressed throughout the brain. Therefore, we subjected the WT and Usp2 KO mice to a battery of tests for affective and cognitive behaviors corresponding to these different brain regions.

Table 1. Relative expression of Usp2 transcript in the mouse brain.

Brain region Usp2 expression level *
Isocortex ++++++
Olfactory bulb +++
Hippocampus ++++
Striatum ++++
Thalamus +++
Hypothalamus +
Midbrain +
Pons +
Cortical sub-plate +++++
Pallidum ++
Medulla +
Cerebellum ++

* Relative expression from in situ hybridization data for Usp2, in the Allen mouse brain atlas (each ’+’ sign represents ~1 unit of raw expression value).

Expression of the gene in regions such as the hippocampus and cortex, which are associated with anxiety-like behavior [33], prompted us to assess such behavior, using the Elevated Plus Maze (EPM) and the Novelty-suppressed Feeding (NSF) test.

The EPM assay builds on the natural aversion of mice to heights and open spaces, counterbalanced by their drive to explore novel surroundings. When subjected to the EPM, Usp2 KO mice exhibited a trend towards reduced anxiety-like phenotypes compared to WT mice: they spent a greater proportion of time in the open arms as compared to the WTs (t(15) = 1.79, p = 0.09, Fig 3A). The latency to enter open arms, on the other hand, did not differ significantly between genotypes (WT: 34.67 ± 29.7 s, KO: 18.23 ± 5.98 s, Mann-Whitney U test: U = 20.5, p = 0.2275). Further, the absence of differences in general locomotion between WT and KO mice in the OFT (S1C Fig) confirms that the time spent in the different arms of the EPM is based on the anxiety-like levels of the mice. Thus, the EPM data indicates a reduced anxiety-like phenotype in the Usp2 KO mice.

Fig 3. Reduced anxiety-like behavior in Usp2 KO mice.

Fig 3

(A) Proportion of time spent in the open arms of the elevated plus maze (EPM). (B) Latency to start feeding in the testing arena of the novelty-suppressed feeding (NSF) test. (C) Food consumed over 9 days following the NSF test. Individual data points represent independent mice (EPM, n: WT = 8, KO = 9; NSF, n: WT = 6, KO = 11) and data are represented as mean ± SEM. Two-way ANOVA (C) or unpaired two-tailed t-tests (A, B, D), **: p < 0.01.

The NSF test opposes the desire for safety with the desire to feed. The Usp2 KO mice started feeding faster than the WT mice (t(15) = 3.323, p = 0.0046, Fig 3B). When feeding was assayed in home cages right after the test, for 10 minutes, all mice ate equally (t(15) = 0.403, p = 0.692, S2A Fig). To verify if the increased latency to feed was a result of metabolic changes, or changes in hunger, mice were weighed daily, and their daily food consumption was measured. There were no differences between WT and KO mice in their general appetite, as both genotypes consumed equal amounts of food over the span of a week (F (8, 120) = 1.63, p = 0.1232, Fig 3C). Similarly, there were no differences in the weights of the mice recorded over a 9-day span (F (4, 60) = 0.1, p = 0.9812, S2B Fig). Thus, the observed phenotype of an increased latency to feed reflects mainly on a decrease in the anxiety-like behavior in mice lacking the Usp2 gene, consistent with the trend observed in the EPM test results.

Recognition memory, but not spatial memory, is attenuated in mice lacking USP2

Since Usp2 is highly expressed in the cortex and hippocampus (Table 1), we questioned whether knocking it out would affect working memory [34]. In the NOR test, WT mice had a significantly higher DR in the NOR phase of the test (t(22) = 3.0, p = 0.007, Fig 4A). On the other hand, for the Usp2 KO mice, the DR was unchanged between the habituation and NOR phases (t(21) = 0.364, p = 0.72, Fig 4B). Comparison between the discrimination ratios of WT and KO mice showed that the KOs had a significantly lower ability to distinguish novel objects (t(22) = 2.45, p = 0.023, Fig 4C). Therefore, recognition memory is impaired in mice lacking Usp2.

Fig 4. Impaired object recognition learning and memory in Usp2 KO mice.

Fig 4

(A, B) Proportion of time spent by WT mice (A) or Usp2 KO mice (B) to explore the novel object compared to the familiar object (discrimination ratio). (C) Comparison of the discrimination ratios of the WT and KO mice during the novel object recognition phase. (D) Total distance travelled by the WT and KO mice during the NOR phase of the test. Individual data points represent independent mice (n: WT = 12, KO = 12) and data are represented as mean ± SEM. Paired two-tailed t-tests (A, B), unpaired two-tailed t-tests (C) or unpaired two-tailed t-tests with Welch’s correction (D), **: p < 0.01, *: p < 0.05.

Further, to ascertain that the differences in DR do not stem from a change in locomotor activity of the mice, we quantified the average total distance covered by WT and KO mice in the NOR phase of the test. We found no difference in the total locomotion of the two genotypes (Welch corrected t(15) = 0.341, p = 0.738, Fig 4D). This is in line with the results of the OFT test (S1C Fig).

We also tested for spatial memory using the Morris water maze (MWM). Learning was observed in all the mice, over the first 4 days (F (3, 45) = 12.71, p < 0.0001) (Fig 5A). In the probe trial, both genotypes of mice spent more than 25% of the test time in the appropriate quadrant (WT: t(8) = 2.55, p = 0.051, KO: t(10) = 2.17, p = 0.055, Fig 5B), suggesting that the mice had learnt the position of the platform. In the cue trial, all the mice were equally adept at finding the platform at a new location (t(15) = 0.09, p = 0.9235, Fig 5C), confirming that performance factors unrelated to place learning were not involved in the probe trial results. However, in all these procedures, no differences were found between the WT and Usp2 KO mice.

Fig 5. Unaltered spatial learning and memory of Usp2 KO mice.

Fig 5

(A) Time taken by the mice to find the platform on subsequent days, as a proxy for learning. (B) Probe trial: Proportion of time spent in the target quadrant in the absence of the platform on day 5. (C) Cue trial: Time taken by the mice to find the platform at a new location. Individual data points represent independent mice (n: WT = 6, KO = 11) and data are represented as mean ± SEM. Two-way ANOVA (A) or unpaired two-tailed t-tests and one sample t-test (B, C), ****: p < 0.0001 for effect of time in (A), interaction and effect of genotype n.s.

Effects on sensorimotor gating in mice lacking USP2

PPI is known to be associated with the dopaminergic system, the limbic system, the olfactory bulb and the prefrontal cortex [3538]. Among these regions, Usp2 expression is high in the olfactory bulb, the striatum, the thalamus and the prefrontal cortex (Table 1, [20]). Hence, we tested for pre-pulse inhibition (PPI) of acoustic startle in Usp2 KO mice. There was no difference between the genotypes in their baseline startle response to a 120 dB startle pulse (t(20) = 0.45, p = 0.661, Fig 6A). The % PPI averaged across the different pre-pulse intensities were also not different between the genotypes (Mann-Whitney U = 41.0, p = 0.212, Fig 6B). However, when the % PPI data were analyzed separately for each pre-pulse intensity, a Genotype x Pre-pulse intensity interaction was seen (F (3, 63) = 2.79, p = 0.043, Fig 6C). A simple main effect analysis revealed a trend for a difference between genotypes for a 12 dB pre-pulse intensity (p = 0.06). This suggested that Usp2 may affect sensorimotor gating.

Fig 6. Reduced sensorimotor gating in Usp2 KO mice.

Fig 6

(A) Amplitude of baseline startle when a 120 dB pulse is given in the absence of any pre-pulse. (B) Average Percent pre-pulse inhibition (% PPI) of all of the non-zero pre-pulse intensities administered. (C) % PPI in response to each of the different intensities of pre-pulses administered. In (A) and (B), individual data points represent independent mice (n: WT = 11, KO = 11) and data are represented as mean ± SEM. In (C), each data point represents the average %PPI for the corresponding PPI. Two-way ANOVA (C) or two-tailed Mann-Whitney test (A, B), *: p < 0.05 for the interaction in (C).

Discussion

In this report, we present evidence for a role of the deubiquitinating enzyme USP2 in the central nervous system. More specifically, we have uncovered alterations of anxiety-like behavior, learning and memory, and motor coordination in mice with a deletion in the Usp2 gene. This work represents, to our knowledge, the first characterization of behaviors in the absence of USP2 function, beyond its established role in the regulation of circadian rhythms.

USP2 is a well-studied DUB with multiple established functions. The first known substrate of USP2 was the fatty acid synthase protein (FAS). In 2004, Graner and colleagues showed that USP2 binds to and stabilizes FAS [39], a protein known to be upregulated in many cancers including prostate cancer [40]. USP2 was shown to be involved in regulating the degradation of oncogene p53 by targeting the ubiquitin ligase Mdm2 [41]. MdmX, another target of Mdm2, is also deubiquitinated by USP2. Further, USP2 controls the cell cycle by deubiquitinating Aurora-A, a centrosomal kinase required for mitosis [42], as well as cyclins such as cyclin A1 and cyclin D [4345], which are regulators of meiosis. Hence, unsurprisingly, the dysregulation of USP2 levels was associated with the development of various kinds of cancers, such as colorectal cancer [44], prostate cancer [43] and oral squamous cell carcinoma [46]. In the circadian system, USP2 regulates the ubiquitination of several clock proteins and contributes to the response of the circadian clock to light [1114]. Apart from its functions within the clock, USP2 also mediates clock output. For instance, USP2 regulates the membrane scaffolding protein NHERF, in a circadian manner [47]. NHERF, in turn, regulates cellular homeostasis of calcium absorption in a clock-dependent manner [47], hence making USP2 a clock output mediator.

While several functions of USP2 have been uncovered, little is known about its possible roles in the central nervous system. Based on data from the Allen Mouse Brain Atlas, Usp2 gene is expressed in various brain regions (Table 1), which suggests that this DUB could be regulating behavioral processes. We addressed this using a battery of tests aimed at assaying various behaviors. This was initially prompted by our analyses of wheel-running behavior, in which we noted increased daily activity and a more consolidated activity pattern in Usp2 KO mice. The reduction in activity fragmentation could be the result of an effect of the Usp2 KO on the circadian system but our prior work using constant conditions, where limited effects on the endogenous period of the rhythms were found, argues against this. Thus, we used the rotarod to check a possible impact of Usp2 gene deletion on motor coordination: the decrease in motor coordination of the KO mice suggests that this is also not the source of the altered activity patterns in mice lacking Usp2. Another possible source for this phenotype could be in the light-response pathways; however, the increased activity and consolidation is seen not only in the light phase of the 12:12LD cycle but also in the night, which suggests that an alteration of the light-response pathways (e.g. reduced masking of activity by light) is not involved. Finally, running wheel activity being a motivated behavior [48, 49], the phenotype in these assays could be due to changes in the reward pathways in the KO mice [50, 51]. Indeed, Usp2 is highly expressed in the striatum (Table 1). Therefore, although we have not tested the Usp2 KO mice for reward behaviors, this could represent an interesting avenue for future research.

The hippocampus and the cortex show the highest levels of Usp2 expression. These are regions associated with the control of anxiety-like behavior. Accordingly, we found a decrease in anxiety-like behavior in mice lacking Usp2, both in the EPM and the NSF tests. In the former, the mice lacking Usp2 spent more time in the open arms than their WT littermates, showing a reduction in anxiety-like behavior. In line with these findings, in the NSF test (which is a more sensitive measure of anxiety-like behavior, due to the pressure to feed), the mice lacking Usp2 fed significantly quicker than the WT mice, reiterating the reduction in anxiety-like behavior in mice lacking USP2.

Further exploring the effects of cortical and hippocampal expression of Usp2, we looked at the effects its deletion might have on cognition. In the NOR test, the KOs showed no distinction in interacting with the novel and the familiar object (DR of 1 in both, the habituation and NOR phases), pointing to a deficit in either the learning of the two objects or to a deficit in working memory. On the other hand, the MWM test showed that spatial learning and memory were intact in the Usp2 KO mice. Interestingly, a prior study has shown a correlation between a reduction of spatial memory in rats following stress with a downregulation of USP2 protein levels in the hippocampus, both reductions being concomitantly rescued by treatment with retigabine, an opener of Kv7 potassium channels [52]. This suggested that USP2 might play a role in spatial memory, at least under stress conditions, in rats. On the contrary, our data indicate no role for USP2 in spatial memory in mice under basal, unchallenged conditions.

Finally, using the PPI test, we looked at sensorimotor gating, or the ability of sensory inputs to guide motor responses in the organism. This behavior is guided by the striatum and olfactory bulbs, where the expression of Usp2 is high as well. Also, PPI has been known to be affected by the limbic and dopaminergic systems: it is especially affected by the dopaminergic cortico-striato-pallido-thalamic and limbic cortico-striato-pallido-pontine tracts [35]. Most of these regions also have a high expression of Usp2. Surprisingly, rather mild phenotypes were found in the PPI test. There seemed to be an effect of genotype on the startle response, but not at all pre-pulse intensities. Thus, further work will be required to delineate the effects of USP2 on sensorimotor gating.

In conclusion, our data indicate that Usp2 plays a role not only in the circadian system, but also in controlling various other behaviors such as anxiety-like phenotypes, motor coordination and working memory. A limitation of our study is that it does not provide insights on what might be the substrates of USP2 in the brain regions where it is highly expressed. For the same reason, it is hard to speculate on whether the various phenotypes of the Usp2 KO mice are due to shared vs. separate mechanisms within the brain. It will be an important future direction to find out what these substrates are, and how USP2 action on these proteins can lead to behavioral alterations like the ones we have observed in this study. Nevertheless, this report sets the stage for the study of the roles of USP2 in the central nervous system and shows that this deubiquitinase has many roles beyond those already described in peripheral organs.

Supporting information

S1 Fig. Locomotor activity patterns of Usp2 KO mice.

(A, B) Quantification of averaged wheel running activity over 10 days: number of bouts of activity per day (A) and number of wheel rotations per activity bout (B). (C) Open field measurement of total distance traveled by WT and Usp2 KO mice as a measure of general locomotion. Individual data points represent independent mice (Wheel-running activity, n: WT = 6, KO = 5; Actimetry, n: WT = 6, KO = 11) and data are represented as mean ± SEM. Unpaired two-tailed t-tests, * p < 0.05.

(TIF)

S2 Fig. Control measures of novelty-suppressed feeding (NSF) test.

(A) Quantity of food consumed within 10 minutes post-NSF test, in the home cage. (B) Weight of the mice over 9 days following the NSF test. Individual data points represent independent mice (n: WT = 6, KO = 11) and data are represented as mean ± SEM. Unpaired two-tailed t-tests (A) or two-way ANOVA (B), all n.s.

(TIF)

Acknowledgments

We thank all the members of the Cermakian lab for discussions. We thank Tara Delorme, Marie-Eve Cloutier, Geneviève Dubeau Laramée, Christine Kirady and Adeline Rachalski for technical help and for assistance in the behavioral experiments; Joseph Rochford, Lalit K. Srivastava and Eve-Marie Charbonneau for advice on the behavioral tests; Joseph Rochford for a critical review of the manuscript; Yu Ding and William Ozell-Landry for data analysis; Simon S. Wing and Nathalie Bédard for advice and technical help with the Usp2 KO mice.

Data Availability

All data is available via the Figshare website. It can be found at https://figshare.com/s/39bed899c599fa965909.

Funding Statement

This work was supported by grants from the Natural Sciences and Engineering Research Council of Canada (RGPIN-249731-2006 and RGPIN-2017-04675, to N.C.) and Velux Stiftung (Project 927, to N.C.), a graduate fellowship from the Faculty of Medicine, McGill University (to K.S.) and a graduate research stipend from the NSERC CD-CREATE Program (to S.S.). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Henrik Oster

27 Nov 2020

PONE-D-20-32107

Behavioral phenotyping of mice lacking the deubiquitinase USP2

PLOS ONE

Dear Dr. Cermakian,

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.

==============================

Provide a clearer rationale for the new tests in the introduction.

Consider providing an alternative measure of locomotor activity.

Consider re-analyzing the novel object recognition data.

Improve the discussion to include inter-relations between different phenotypes.

Complete statistics section and provide F/df values for stats.

==============================

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Reviewer #1: Srikanta et al., phenotyped mice lacking deubiquitinase USP2 in various behavioral assays relating to locomotion, anxiety, memory and sensorimotor gating. Though this study is novel and interesting, there are some questions that needs to be addressed to prompt publication.

Major comments

It would good to include another measure of locomotor activity than the running wheel, as baseline locomotor changes could influence your readout in the anxiety assays and novel object recognition assay. For instance, did you compare number of crossings in the EPM?

To be sure that there is no differences in explorative behavior due to locomotor activity changes, it would be relevant to perform a general locomotor measurement in a home-cage-like environment.

As the novel object recognition test failed in the WT group (figure 4A), it unfortunately makes the overall results from the test difficult to interpret. Please revise – perhaps this can be solved with a re-analysis of your data (see point below).

Please re-analyze the novel object recognition data! The criterion for object-exploration of 5 cm distance between mouse and object seems unusually large - 2 cm is a more common criterion for exploration behavior. This may also explain why the WT-group showed no significant increase in discrimination ratio for the novel object in figure 4A.

Overall the manuscript is well written and to the point. However, to reach a clearer overview of the USP2-KO phenotype it is essential to deepen the discussion on the specific behaviors and how these may interrelate. It could be that the USP2-KO phenotype arising from one behavioral assay influences that of the others. For instance, decreased anxiety, could be a result from increased exploration behavior due to locomotion, and could in turn affect novel object interaction; And vice versa deficits in memory-acquisition could influence novelty suppressed feeding. Please revise

Minor comments

Though the title of the manuscript is good, it would be relevant to include information on the specific behavioral findings.

You mention the Forced Swim test in your materials and methods section, line 97 and line 219, but you haven’t included any data from the test nor any further description of it – please revise.

In the discussion of your PPI results, please consider other relevant limbic circuits expressing USP2, such as the thalamocortical circuit.

Reviewer #2: This manuscript describes a series of experiments investigating the behavioural sequalae of USP2 deletion across a range of different cognitive and motoric domains. Previous studies, by the authors, had demonstrated circadian activity pattern differences in these mice, hence the aims to expand the understanding of USP2 deletion across other behaviours. The findings open with a replication of the initial findings before exploring effects across anxiety, motor co-ordination, two types of memory and sensory motor gating – all reasonable target to evaluate. The studies were conducted following proven methodologies and with due consideration of ethical and legal constraints for the use of animals in research. Overall, the manuscript is well presented and clearly written, results are displayed well and the statistical approach is sound. I think that the Introduction could have expanded upon why the particular tests/domains were chosen rather than dwelling quite so much on the previous results. The Discussion section was also well written and presented and dealt with the findings in context but see below for comments on further data evaluation to strengthen the anxiety findings. Likewise, the authors probably have the data that will help to explain away some fo the NOR effects – see below for comments on this.

Overall, the study itself has good merit in its approach and the results, when further investigated, which would be relevance to the field but currently the manuscript and data needs further investigation to underpin the results included.

In working through the manuscript, I have the following major issues:

4hr delay in the NOR is not really short-term memory – researchers would generally drop to the realms of 10min for this – 4hrs is also not really long-term either, but an intermediate time.

Stats section not really including all the analyses performed – not clear what is meant by average %PPI and whether this is helpful, as it is masking the interaction between prepulse intensity and response…

Results section – full stats were missing in the text – only p values given, the t or F and df should be listed.

For the EPM data – the mice were tracked on the apparatus and it would be interested to contrast the decreased anxiety observed with correlations to whether they demonstrated increased activity? The mice are hyperactive in the circadian rhythm tests and maybe on the EPM – so maybe will explore more, and appear less anxious but maybe not so in reality – so a measure of locomotion in the EPM – expressed over the 5min test would be interesting to see and help to determine exactly what is shown in this test. Similarly, the NSF, NOR and MWM could also all be confounded by hyperactivity.. so again a report on these behaviours in these tasks would be interesting to see.

For the PPI – in the methods the authors alerted to increased PPI (pp11, l 211/212), whereas there is stronger evidence for reduced PPI effects being more linked to models of mental health conditions etc – so this pointer here could be rephrased and referenced accordingly – which makes a stronger point to the actual finding of recued PPI in the USB nulls. (Swerdlow et al 2016 Nov;30(11):1072-1081. doi: 10.1177/0269881116661075.)

For the NOR study, reporting just the DR does not give clarity to the results and what they mean – as the authors discuss – actual object contact times will determine if there were issues during the acquisition stage that could affect memory testing later – maybe correlate exposure to later memory testing? Also, would be interesting to see a comparison to chance for each group at tets – looks like the WT maybe sig but the KO not – so might demonstrate memory impairment in the KOs, even though not sig different to WT (see Hall et al 2016 130:118-28. doi: 10.1016/j.nlm.2016.02.002) for this approach.

Minor points.

Use of SI units throughout- not Imperial units

More clarity in final N for each study

P7, L118 – edit rpmrpm

P7, L120 – edit got to was

EPM methods needs to be in past tense

**********

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PLoS One. 2021 Feb 23;16(2):e0241403. doi: 10.1371/journal.pone.0241403.r002

Author response to Decision Letter 0


10 Jan 2021

Response to Reviewers of manuscript PONE-S-20-39745 by Srikanta et al.

We wish to thank the editor and the reviewers for their comments on the manuscript. As described below, we have addressed all comments and modified the manuscript accordingly.

Editor:

#1: Provide a clearer rationale for the new tests in the introduction.

Answer: We have revised the last paragraph of the Introduction to provide such a rationale:

“Further, based on high Usp2 expression in the hippocampus and cortex, we tested the mice for anxiety-like behavior and memory, and noticed a reduction in anxiety-like phenotypes and deficits in the working memory of Usp2 KO mice, but not in their spatial memory. Based on Usp2 expression in the olfactory bulb, striatum, thalamus and prefontal cortex, we assessed sensorimotor gating, for which limited effects of Usp2 gene deletion were found.” (Page 4, Line 63)

#2: Consider providing an alternative measure of locomotor activity.

Answer: Although we hadn’t included actimetry in the initial manuscript, we have now added these data. They show a lack of differences between WT and KO mice (p = 0.391), in their general locomotion. Further, analysis of total distance covered by the mice during the NOR trial also showed no difference in general locomotion between the WT and KO groups (p = 0.665). Hence, our observations in the various tests are not related to changes in the general locomotion of the two genotypes themselves. We have added a description of these new data in the Results section and show them in new Figures S1C and 4D:

“While motivated locomotor activity did not correlate with motor coordination phenotypes, we questioned whether it might have an effect on general locomotion in the Usp2 KO mice. This was assayed using the open field test (OFT), which assesses the general locomotion of mice when subjected to a novel environment. The total distance covered by the mice in 50 minutes showed no differences between the general locomotion of the two genotypes (t(15) = 0.884, p = 0.391, S1C Fig).” (Page 14, Line 275)

“Further, to ascertain that the differences in DR do not stem from a change in locomotor activity of the mice, we quantified the average total distance covered by WT and KO mice in the NOR phase of the test. We found no difference in the total locomotion of the two genotypes (Welch corrected t(15) = 0.341, p = 0.738, Fig 4D). This is in line with the results of the OFT test (S1C Fig).” (Page 18, Line 345)

#3: Consider re-analyzing the novel object recognition data.

Answer: Based on the inputs from the editor and the reviewers, we reduced the area of tracking around the object to the suggested distance of 2 to 3 cm around the object. Further, we initially tracked using the center of the body, but this time, we tracked the mouse using its nose, to be certain of the interaction of the mouse with the two objects. The comparison of the discrimination ratios of the WT mice in the habituation and NOR conditions is now significant (p = 0.007), confirming that they are able to discriminate between the objects and validating the test. The manuscript has been updated accordingly (revised Methods, revised Results, revised Figure 4A - C):

“A mouse was considered to be involved in object exploration if its head was directed towards the object, within a radius of approximately 2 to 3 cm from it.” (Page 9, Line 180 revised text is underlined)

“In the NOR test, WT mice had a significantly higher DR in the NOR phase of the test (t(22) = 3.0, p = 0.0078, Fig 4A). On the other hand, for the Usp2 KO mice, the DR is unchanged between the habituation and NOR phases (t(21) = 0.364, p = 0.72916, Fig 4B). Comparison between the discrimination ratios of WT and KO mice showed that the KOs had a significantly lower ability to distinguish novel objects (t(22) = 2.45, p = 0.0232, Fig 4C). Therefore, recognition memory is impaired in mice lacking Usp2.” (Page 17, Line 329, revised text is underlined)

#4: Improve the discussion to include inter-relations between different phenotypes.

Answer: We prefer to avoid overinterpreting the data: many correlations between behavioral measures can be found in the literature, but they aren’t necessarily causal, since other reports exist in literature supporting the opposite correlations as well. In the manuscript, we have added a sentence in the last paragraph of Discussion to state this:

“For the same reason, it is hard to speculate on whether the various phenotypes of the Usp2 KO mice are due to shared vs. separate mechanisms within the brain.” (Page 23, Line 457)

#5: Complete statistics section and provide F/df values for stats.

Answer: F, df and p-values were already provided in the original manuscript, where applicable. We have now also included the t-value with their respective dfs, for all the t-tests.

Reviewer 1:

#1: It would good to include another measure of locomotor activity than the running wheel, as baseline locomotor changes could influence your readout in the anxiety assays and novel object recognition assay. For instance, did you compare number of crossings in the EPM?

To be sure that there is no differences in explorative behavior due to locomotor activity changes, it would be relevant to perform a general locomotor measurement in a home-cage-like environment.

Answer: Although we hadn’t included actimetry in the initial manuscript, we have now added these data. They show a lack of differences between WT and KO mice (p = 0.391), in their general locomotion. Further, analysis of total distance covered by the mice during the NOR trial also showed no difference in general locomotion between the WT and KO groups (p = 0.665). Hence, our observations in the various tests are not related to changes in the general locomotion of the two genotypes themselves. We have added a description of these new data in the Results section and show them in new Figure S1C and 4D:

“While motivated locomotor activity did not correlate with motor coordination phenotypes, we questioned whether it might have an effect on general locomotion in the Usp2 KO mice. This was assayed using the open field test (OFT), which assesses the general locomotion of mice when subjected to a novel environment. The total distance covered by the mice in 50 minutes showed no differences between the general locomotion of the two genotypes (t(15) = 0.884, p = 0.391, S1C Fig).” (Page 14, Line 275)

“Further, to ascertain that the differences in DR do not stem from a change in locomotor activity of the mice, we quantified the average total distance covered by WT and KO mice in the NOR phase of the test. We found no difference in the total locomotion of the two genotypes (Welch corrected t(15) = 0.341, p = 0.738, Fig 4D). This is in line with the results of the OFT test (S1C Fig).” (Page 18, Line 345)

#2: As the novel object recognition test failed in the WT group (figure 4A), it unfortunately makes the overall results from the test difficult to interpret. Please revise – perhaps this can be solved with a re-analysis of your data (see point below).

Please re-analyze the novel object recognition data! The criterion for object-exploration of 5 cm distance between mouse and object seems unusually large - 2 cm is a more common criterion for exploration behavior. This may also explain why the WT-group showed no significant increase in discrimination ratio for the novel object in figure 4A.

Answer: Based on this comment, we reduced the area of tracking around the object to the suggested distance of 2 to 3 cm around the object. Further, we initially tracked using the center of the body, but this time, we tracked the mouse using its nose, to be certain of the interaction of the mouse with the two objects. The comparison of the discrimination ratios of the WT mice in the habituation and NOR conditions is now significant (p = 0.007), confirming that they are able to discriminate between the objects and validating the test. The manuscript has been updated accordingly (revised Methods, revised Results, revised Figure 4A - C):

“A mouse was considered to be involved in object exploration if its head was directed towards the object, within a radius of approximately 2 to 3 cm from it.” (Page 9, Line 180 revised text is underlined)

“In the NOR test, WT mice had a significantly higher DR in the NOR phase of the test (t(22) = 3.0, p = 0.0078, Fig 4A). On the other hand, for the Usp2 KO mice, the DR is unchanged between the habituation and NOR phases (t(21) = 0.364, p = 0.72916, Fig 4B). Comparison between the discrimination ratios of WT and KO mice showed that the KOs had a significantly lower ability to distinguish novel objects (t(22) = 2.45, p = 0.0232, Fig 4C). Therefore, recognition memory is impaired in mice lacking Usp2.” (Page 17, Line 329, revised text is underlined)

#3: Overall the manuscript is well written and to the point. However, to reach a clearer overview of the USP2-KO phenotype it is essential to deepen the discussion on the specific behaviors and how these may interrelate. It could be that the USP2-KO phenotype arising from one behavioral assay influences that of the others. For instance, decreased anxiety, could be a result from increased exploration behavior due to locomotion, and could in turn affect novel object interaction; And vice versa deficits in memory-acquisition could influence novelty suppressed feeding. Please revise.

Answer: We prefer to avoid overinterpreting the data: many correlations between behavioral measures can be found in the literature, but they aren’t necessarily causal, since other reports exist in literature supporting the opposite correlations as well. In the manuscript, we have added a sentence in the last paragraph of Discussion to state this:

“For the same reason, it is hard to speculate on whether the various phenotypes of the Usp2 KO mice are due to shared vs. separate mechanisms within the brain.” (Page 23, Line 457)

#4: Though the title of the manuscript is good, it would be relevant to include information on the specific behavioral findings.

Answer: Given that there are many different phenotypes, the title would become too complex if phenotype details are included. Hence, we would prefer to stick to this general title that we have provided. Since this is the first report of non-circadian behavioural changes in USP2 KO mice, it is appropriate to have such a general title.

#5: You mention the Forced Swim test in your materials and methods section, line 97 and line 219, but you haven’t included any data from the test nor any further description of it – please revise.

Answer: Thank you for bringing this error to our attention. It has been corrected.

#6: In the discussion of your PPI results, please consider other relevant limbic circuits expressing USP2, such as the thalamocortical circuit.

Answer: We have added text about this in the Results and Discussion sections:

“PPI is known to be associated with the dopaminergic and limbic systems [35–38]. Among these regions Usp2 expression is high in the olfactory bulb, striatum, thalamus and prefrontal cortex, which are associated with sensorimotor gating [35–37].” (Page 19, Line 367)

“Also, PPI has been known to be affected by the limbic and dopaminergic systems: it is especially affected by the dopaminergic cortico-striato-pallido-thalamic and limbic cortico-striato-pallido-pontine tracts [35]. Most of these regions also have a high expression of USP2. Surprisingly, proportionally mild phenotypes were found in the PPI test.” (Page 22, Line 447)

Reviewer 2:

#1: 4hr delay in the NOR is not really short-term memory – researchers would generally drop to the realms of 10min for this – 4hrs is also not really long-term either, but an intermediate time.

Answer: The phrase “short-term memory” has been replaced with “working memory” to refer to memory store required for memory recall in such a task.

#2: Not clear what is meant by average %PPI and whether this is helpful, as it is masking the interaction between pre-pulse intensity and response

Answer: The average %PPI is the average of the %PPI values, across the different PP intensities. This is a measure of overall difference in sensorimotor gating. This measure provides an overview about the capacity for sensorimotor gating in an animal, as opposed to a plot of %PPI for the different PP intensities, which provides a closer look at the differences in the sensorimotor gating capacities of the animals to increasing intensities of prepulses. The legend of Fig 6 was clarified accordingly:

“(B) Average Percent pre-pulse inhibition (% PPI) of all of the non-zero intensities of pre-pulses administered. (C) % PPI in response to each of the different intensities of pre-pulses administered.” (Page 19, Line 379, revised text is underlined)

#3: Results section – full stats were missing in the text – only p values given, the t or F and df should be listed.

Answer: F-values and df had been provided for all the 2-way ANOVAs in the original manuscript (within the manuscript text). For all the t-tests, the p-values had been provided; t-values have now been added with their respective dfs.

#4: For the EPM data – the mice were tracked on the apparatus and it would be interested to contrast the decreased anxiety observed with correlations to whether they demonstrated increased activity? The mice are hyperactive in the circadian rhythm tests and maybe on the EPM – so maybe will explore more, and appear less anxious but maybe not so in reality – so a measure of locomotion in the EPM – expressed over the 5min test would be interesting to see and help to determine exactly what is shown in this test. Similarly, the NSF, NOR and MWM could also all be confounded by hyperactivity. So again, a report on these behaviours in these tasks would be interesting to see.

Answer: To distinguish the hyperactive phenotype in the wheel (a motivated behavior) from general locomotion, we have now provided actimetry data in the manuscript (new Figure S1C). It shows that there are no differences in general locomotion between WT and KO mice (p = 0.391). Hence, we can be sure that the phenotypic differences between the genotypes found in the EPM, NSF or NOR do not stem from variation in the general locomotion of the mice. The Results section was revised accordingly:

“While motivated locomotor activity did not correlate with motor coordination phenotypes, we questioned whether it might have an effect on general locomotion in the Usp2 KO mice. This was assayed using the open field test (OFT), which assesses the general locomotion of mice when subjected to a novel environment. The total distance covered by the mice in 50 minutes showed no differences between the general locomotion of the two genotypes (t(15) = 0.884, p = 0.391, S1C Fig).” (Page 14, Line 275)

“Further, to ascertain that the differences in DR do not stem from a change in locomotor activity of the mice, we quantified the average total distance covered by WT and KO mice in the NOR phase of the test. We found no difference in the total locomotion of the two genotypes (Welch corrected t(15) = 0.341, p = 0.738, Fig 4D). This is in line with the results of the OFT test (S1C Fig).” (Page 18, Line 345)

#5: For the PPI – in the methods the authors alerted to increased PPI (pp11, l 211/212), whereas there is stronger evidence for reduced PPI effects being more linked to models of mental health conditions etc – so this pointer here could be rephrased and referenced accordingly – which makes a stronger point to the actual finding of recued PPI in the USB nulls. (Swerdlow et al 2016 Nov;30(11):1072-1081. doi: 10.1177/0269881116661075.)

Answer: We agree with the reviewer that usually, increased PPI is associated with mental health conditions, e.g. schizophrenia. However, in this manuscript, we are not presenting the Usp2 KO mice as a model for psychiatric diseases. Our aim is simply to characterize various behaviours of these KO mice. In the manuscript, we have been careful to stick to the description of the behavioral data, and we have refrained from drawing implications for mental health.

#6: For the NOR study, reporting just the DR does not give clarity to the results and what they mean – as the authors discuss – actual object contact times will determine if there were issues during the acquisition stage that could affect memory testing later – maybe correlate exposure to later memory testing? Also, would be interesting to see a comparison to chance for each group at tets – looks like the WT maybe sig but the KO not – so might demonstrate memory impairment in the KOs, even though not sig different to WT (see Hall et al 2016 130:118-28. doi: 10.1016/j.nlm.2016.02.002) for this approach.

Answer: In the NOR, the exploration of the novel object is a measure of the extent to which the animal remembers the previous encounter with the familiar object. Thus, this ability to discriminate between the novel and familiar object was measured by the Discrimination Ratio. We reanalysed all the NOR data. We reduced the area of tracking around the object to the suggested distance of 2 to 3 cm around the object (to account for sniffing behavior). Further, we initially tracked using the center of the body, but this time, we tracked the mouse using its nose, to be certain of the interaction of the mouse with the two objects. The comparison of the discrimination ratios of the WT mice in the habituation and NOR conditions is now significant (p = 0.007), confirming what the reviewer says, i.e. that learning has indeed occurred in the WT mice (thus validating the test) but not in the KO mice (hence our conclusion of a working memory impairment phenotype). Also, we now provide new data for the total distance covered by the mice during the NOR trial: the absence of difference between WT and KO confirms that the difference in DR are not due to a change in general activity. The manuscript has been updated accordingly (revised Methods, revised Results, revised Figure 4):

“A mouse was considered to be involved in object exploration if its head was directed towards the object, within a radius of approximately 2 to 3 cm from it.” (Page 9, Line 180 revised text is underlined)

“In the NOR test, WT mice had a significantly higher DR in the NOR phase of the test (t(22) = 3.0, p = 0.0078, Fig 4A). On the other hand, for the Usp2 KO mice, the DR is unchanged between the habituation and NOR phases (t(21) = 0.364, p = 0.72916, Fig 4B). Comparison between the discrimination ratios of WT and KO mice showed that the KOs had a significantly lower ability to distinguish novel objects (t(22) = 2.45, p = 0.0232, Fig 4C). Therefore, recognition memory is impaired in mice lacking Usp2.” (Page 17, Line 329, revised text is underlined)

“Further, to ascertain that the differences in DR do not stem from a change in locomotor activity of the mice, we quantified the average total distance covered by WT and KO mice in the NOR phase of the test. We found no difference in the total locomotion of the two genotypes (Welch corrected t(15) = 0.341, p = 0.738, Fig 4D). This is in line with the results of the OFT test (S1C Fig).” (Page 18, Line 345)

#7: Use of SI units throughout- not Imperial units

Answer: These have been revised.

#8: More clarity in final N for each study

Answer: We have provided the exact mouse numbers per group for each graph in each figure legend.

#8: P7, L118 – edit rpmrpm

Answer: It is acceleration and hence, the units are rotations per minute per minute (rpmpm)

#9: P7, L120 – edit got to was

Answer: Revised as suggested.

#10: EPM methods needs to be in past tense

Answer: Revised as suggested.

Attachment

Submitted filename: Srikanta Response to reviewers.docx

Decision Letter 1

Henrik Oster

9 Feb 2021

Behavioral phenotyping of mice lacking the deubiquitinase USP2

PONE-D-20-32107R1

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Reviewer #1: All comments have been addressed

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Reviewer #1: Yes

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Acceptance letter

Henrik Oster

15 Feb 2021

PONE-D-20-32107R1

Behavioral phenotyping of mice lacking the deubiquitinase USP2

Dear Dr. Cermakian:

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

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Associated Data

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

    Supplementary Materials

    S1 Fig. Locomotor activity patterns of Usp2 KO mice.

    (A, B) Quantification of averaged wheel running activity over 10 days: number of bouts of activity per day (A) and number of wheel rotations per activity bout (B). (C) Open field measurement of total distance traveled by WT and Usp2 KO mice as a measure of general locomotion. Individual data points represent independent mice (Wheel-running activity, n: WT = 6, KO = 5; Actimetry, n: WT = 6, KO = 11) and data are represented as mean ± SEM. Unpaired two-tailed t-tests, * p < 0.05.

    (TIF)

    S2 Fig. Control measures of novelty-suppressed feeding (NSF) test.

    (A) Quantity of food consumed within 10 minutes post-NSF test, in the home cage. (B) Weight of the mice over 9 days following the NSF test. Individual data points represent independent mice (n: WT = 6, KO = 11) and data are represented as mean ± SEM. Unpaired two-tailed t-tests (A) or two-way ANOVA (B), all n.s.

    (TIF)

    Attachment

    Submitted filename: Srikanta Response to reviewers.docx

    Data Availability Statement

    All data is available via the Figshare website. It can be found at https://figshare.com/s/39bed899c599fa965909.


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