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. 2017 Mar 15;42(7):1502–1510. doi: 10.1038/npp.2017.31

The Role of The RNA Demethylase FTO (Fat Mass and Obesity-Associated) and mRNA Methylation in Hippocampal Memory Formation

Brandon J Walters 1,2,3, Valentina Mercaldo 1,2,3, Colleen J Gillon 1,2, Matthew Yip 1,2,3, Rachael L Neve 4, Frederick M Boyce 5, Paul W Frankland 1,2,3, Sheena A Josselyn 1,2,3,*
PMCID: PMC5436121  PMID: 28205605

Abstract

The formation of long-lasting memories requires coordinated changes in gene expression and protein synthesis. Although many studies implicate DNA modifications (DNA methylation, histone modifications) in memory formation, the contributions of RNA modifications remain largely unexplored. Here we investigated the role of mRNA methylation in hippocampal-dependent memory formation in mice. RNA modifications are highly dynamic and readily reversible. Methyltransferases add a methyl group to mRNA while demethylases remove methyl groups. Here we focused on examining the role of the best characterized RNA demethylase, FTO (fat mass and obesity-associated) in memory. We observed that FTO is expressed in the nuclei, dendrites and near dendritic spines of mouse dorsal hippocampal CA1 neurons. Next, we found that contextual fear conditioning transiently (0.5 h) decreased Fto levels in these neurons, with the largest decrease in FTO observed near synapses. The decrease in FTO observed shortly after contextual fear conditioning suggests that FTO normally constrains memory formation. To directly test this, we artificially decreased FTO levels in dorsal hippocampus of otherwise normal (wild-type) mice by microinjecting before training a single herpes simplex virus (HSV) vector expressing either CRISPR/Cas9 or shRNA targeted against Fto. Decreasing FTO using either method specifically enhanced contextual fear memory. Together, these results show the importance of FTO during memory formation and, furthermore, implicate mRNA modification and epi-transcriptomics as novel regulators of memory formation.

Introduction

The formation of long-lasting memories requires coordinated changes in gene expression and protein synthesis (Davis and Squire, 1984; Duvarci et al, 2008; Hernandez and Abel, 2008). Previous research shows the important roles of histones and DNA modifications (epigenetics) in memory formation (Sweatt, 2013; Zovkic et al, 2014). However, the potential role of RNA modifications (epi-transcriptomics) in memory formation has only begun to be explored. RNA can be subjected to over 100 modifications, each of which may produce distinct functional consequences (Fu et al, 2014; Hoernes et al, 2015; Jia et al, 2013). The most abundant RNA modification is methylation of adenosine bases at the nitrogen-6 position (referred to as m6A; Liu and Pan, 2016; Niu et al, 2013). The precise function of the m6A modification is unknown, but several lines of evidence suggest this modification regulates many structural and functional properties of mRNA, including translation (Dominissini et al, 2012; Hoernes et al, 2015; Linder et al, 2015; Schwartz et al, 2014; Wang et al, 2015; Zhao et al, 2014; Zhou et al, 2015). Precise mRNA translation is necessary for memory formation, thereby implicating the m6A modification of mRNA in the regulation of memory formation. Therefore, epi-transcriptomics, specifically the m6A modification of mRNA, may represent a novel mediator of neural plasticity and memory formation.

The m6A modification of mRNA is highly dynamic and readily reversible (Jia et al, 2013). Methyltransferases (‘writers' of methylation) add the methyl group to mRNA while demethylases (‘erasers' of methylation) are responsible for removing this modification. Fat mass and obesity-associated protein (FTO) is the best characterized demethylase. FTO is highly enriched in the brain compared to muscle (McTaggart et al, 2011) and previous evidence shows that FTO is involved in neural dopaminergic signaling (Hess et al, 2013). In vitro studies find that demethylation of RNA by FTO is stimulus-dependent (Zhou et al, 2015), suggesting the m6A modification may be important in experience dependent plasticity. Consistent with this notion, a recent study implicated the m6A modification of mRNA in the medial prefrontal cortex in auditory cue fear memory formation in mice (Widagdo et al, 2016). However, the m6A modification is enriched throughout the brain (Biogps.org, (Meyer et al, 2012)) suggesting this modification may also play a role in memory formation in other brain regions. Here we use a combination of behavioral studies, molecular biology, and a novel CRISPR/Cas9 virus to examine whether regulation of mRNA methylation by FTO in the dorsal hippocampus, a key region for memory formation (Frankland et al, 1998; Sanders et al, 2003; Sekeres et al, 2010; Wiltgen et al, 2006; Wiltgen et al, 2010), plays a role in learning and memory.

Materials and methods

Mice

Adult (10–12 weeks old) male F1 hybrid (C57 BL/6NTac × 129S6/SvEvTac) naive wild-type (WT) mice were used for all experiments. Mice were group housed (2–5 mice per cage) on a 12 h light/dark cycle and provided with food and water ad libitum. All experimental procedures were conducted in accordance with the guidelines of the Canadian Council on Animal Care (CCAC), National Institutes of Health (NIH) and approved by the Animal Care Committee at the Hospital for Sick Children.

Stereotaxic Surgery

Mice were pretreated with atropine sulfate (0.1 mg/kg, i.p.), anesthetized with chloral hydrate (400 mg/kg, i.p.) and placed in a stereotactic frame. The scalp was incised and bilateral skull holes drilled. Viral vectors were bilaterally microinjected (2.0 μl per side, 0.1 μl/min) into the CA1 region of the dorsal hippocampus (co-ordinates, −2.3, ±1.5 −1.5 mm relative to bregma (Paxinos and Franklin, 2004)). Micropipettes remained in place for 10 min after microinjection to ensure vector diffusion. Micropipettes were slowly withdrawn, the incision closed and mice treated with analgesic (ketoprophen, 5 mg/kg, s.c.).

Viral Constructs

CRISPR/Cas9

sgRNA against Fto was designed using Desktop Genetics (www.deskgen.com, 5′-GCAGTGTGAGAAAGGCCTC-3′). sgRNA-Fto was validated in-house before being subcloned into an all-in-one CRISPR system for use with HSV at the Viral Vector Core at McGovern Institute (MIT). The basic cassette is as follows: hSyn-Cas9-WPRE-U6-gRNA scaffold. Cas9-Control was made using a similar procedure.

shRNA/scrambled shRNA

Pre-validated shRNA-Fto was obtained from Sigma-Aldrich (TRCN0000277193, sequence 5'- GTCTCGTTGAAATCCTTTGAT-3′) and scrambled shRNA (shRNA-scramble) was a gift from David Sabatini (Sarbassov et al, 2005; Addgene #1864). Both shRNA-Fto and shRNA-scramble were sub-cloned into a duel expression HSV vector with CMV driving GFP expression and U6 driving expression of shRNA.

Replication-deficient HSV-derived particles were made from these vectors as previously described (Han et al, 2009). The titer of these HSV was>1 × 108 infectious units/ml. We chose to use HSV to deliver our constructs of interest because HSV is naturally neurotropic (Cole et al, 2012; Steiner et al, 2007) and has large packaging limits, allowing exceptionally large constructs, such as Cas9, to be accommodated (Saeki et al, 2001). This is crucial for our CRISP/Cas9 approach, as other viruses (including AAV) cannot accommodate the necessary transgenes to allow single-vector manipulations in WT mice.

Behavioral Training

Mice were handled each day for 3 days prior to contextual fear conditioning. During contextual fear conditioning, mice were placed in a fear conditioning chamber for 2 min, then three unsignalled 0.5 mA foot shocks spaced 1 min apart were delivered. Mice remained in the fear conditioning context for 1 additional min before being returned to the homecage.

For experiments characterizing the dynamics of Fto expression (Figure 3), mice were kept in a holding area until their brains were flash-frozen 0.5 or 1 h after training. Hippocampi were dissected from the whole brain followed by isolation of area CA1 of the dorsal hippocampus.

For knockdown experiments (Figure 4) a weaker training protocol was used (1 × 0.5 mA foot shock) to allow potential increases in memory to be observed. To test memory, mice were returned to the same context 24 h after training. The percentage of time mice spent freezing (defined as adoption of an immobilized, crouched position, with an absence of any movement except respiration (Blanchard and Blanchard, 1969; Bolles and Fanselow, 1982) during the 5 min test was recorded (Freezeframe software; Actimetrics). Mice were then either perfused (transcardially with 0.1 M PBS followed by 4% PFA) for immunohistochemistry or the dorsal CA1 region of the hippocampus was harvested for qPCR.

To examine the reactivity of mice to the foot shock, video recordings of mouse behavior during the training session were imported into Ctrax (http://ctrax.sourceforge.net/, (Branson et al, 2009)). The velocity of each mouse during baseline (measured over 120 s) and foot shock (measured during the 2 s foot shock) were compared as an indicator of pain reactivity (Anagnostaras et al, 2000). This value was normalized to the baseline and experimental groups were compared to their respective control groups (HSV-Cas9-Control or HSV-shRNA-Scramble). Post-shock freezing was measured for 60 s after delivery of the final shock as a measure of within-session learning (Anagnostaras et al, 2000; Wood and Anagnostaras, 2011).

RNA Isolation/cDNA Synthesis

RNA from the CA1 region of dorsal hippocampus or Neuro2A (N2a) cells was isolated using a kit (EZ-10 RNA isolation kit, Bio-Basic, BS82322). For mRNA enrichment (Figure 3d), 26 μl of the 30 μl of isolated RNA was further purified (MagJet mRNA enrichment kit, ThermoFisher, K2811) and concentrated to 14 μl (RNEasy MinElute cleanup kit, Qiagen, 74204). Total RNA was quantified using a Nanodrop 1000 (ThermoFisher). For gene enrichment studies or mRNA normalization (Figure 3d), RNA was converted into cDNA (400 ng for gene enrichment; 2 μl mRNA for mRNA normalizations) using a kit (High Capacity cDNA synthesis kit, ThermoFisher, 4368814).

Quantitative Real-Time PCR (qPCR)

qPCR was performed on 2 ng of cDNA in a 10 μl reaction (EvaGreen Mastermix, Diamed, ABM Mastermix-S). To normalize m6A-containing mRNA (Figure 3d), we loaded 2 μl of cDNA in a standard 10 μl PCR reaction. Relative enrichment was calculated using the ΔΔCT method, using the geometric mean of two internal controls (Hprt, Gapdh) for normalization. qPCR was run on a CFX96 real-time qPCR detection system (BioRad) using 500 nM primer dilutions. All qPCR reactions were run in triplicates.

Primers (5′–3′, forward-reverse)

Alkbh5: (5′-GGCGTTCCTTAATGTCCTGA-3′, 5′-AGTTCCAGTTCAAGCCCATC-3′)

Fto: (5′-CTCAGCCACTCAAACTCCAC-3′, 5′-TCTTAGAACGCTGTCAGTTGG-3′)

Gapdh: (5′GTGGAGTCATACTGGAACATGTAG-3′, 5′-AATGGTGAAGGTCGGTGTG-3′)

Hprt: (5′-GGAGTCCTGTTGATGTTGCCAGTA-3′, 5′-GGGACGCAGCAACTGACATTTCTA-3′)

m6A ELISA

m6A-containing RNA was quantified using EpiQuik RNA methylation quantification kit (Epigentek, P-9005). Either 200 ng of total RNA or 8 μl of concentrated mRNA were run and fit to a standard curve. Total RNA samples were then normalized against the total amount (ng) of RNA loaded, while mRNA samples were normalized to the geometric mean of two internal controls (Hprt, Gapdh) determined from qPCR, as the concentration of mRNA was below the detection limit of the Nanodrop 1000. All samples were run in triplicate.

FTO, GFAP, GAD67, Parvalbumin and m6A Immunostaining in Brain Slices

Coronal brain sections (50 μm) from homecage WT mice were incubated with blocking solution (0.1% BSA, 2% NGS, 0.3% Triton-X) for 2 h at RT, followed by incubation with rabbit anti-FTO polyclonal (1 : 100; Novusbio, NB110-60935) and one of the following primary antibodies: mouse monoclonal anti-GFAP (1 : 500; Cell Signaling Technology), mouse monoclonal anti-GAD67 (1 : 500; Millipore) or mouse monoclonal anti-parvalbumin (1 : 500; Sigma-Aldrich) at RT for 48 h. Sections were washed and then incubated with goat-anti-rabbit/mouse Alexa 568/633 (1 : 500; Invitrogen) for 2 h at RT.

Supplementary Figure S1A. Brain sections (50 μm) from naive mice were incubated with blocking solution as above and then incubated with rabbit anti-FTO monoclonal (1 : 100; gift from Dr Uli Rüther, (Hess et al, 2013) at RT for 48 h. Sections were washed and then incubated with goat-anti-rabbit Alexa 488 (1 : 500; Invitrogen) for 2 h at RT.

Supplementary Figure S1B. Brain sections (50 μm) from naive mice were incubated with blocking solution as above and then incubated with rabbit anti-m6A (1 : 300; Abcam) primary antibody at RT for 48 h. Sections were washed and then incubated with goat-anti-rabbit Alexa 488/568 (1 : 500; Invitrogen) for 2 h at RT.

FTO and m6A Immunostaining in Primary Hippocampal Neurons

Primary hippocampal neurons were prepared as described in (Cole et al, 2012). After 10d in culture, neurons were washed, fixed with 4% paraformaldehyde in PBS, permeabilized and blocked with 0.3% Triton X-100, 2% normal goat serum and 0.5% bovine serum albumin in PBS. Neurons were incubated at RT for 2-3 h with mouse anti-FTO (1 : 100, Novus Biologicals, NB110-60935, 1:100) and anti-m6A (1:300; Abcam) in blocking solution. After washes, neurons were incubated with goat anti-mouse/rabbit Alexa 488/568secondary antibodies (1:500, Invitrogen) in blocking solution for 1 h at RT, washed and mounted.

FTO and GFP Staining for Spine Detection

To examine FTO expression within dendritic spines, we took advantage of an HSV viral vector expressing GFP throughout infected neurons. Homecage mice were microinjected with HSV-GFP into the CA1 region of dorsal hippocampus. Infected neurons were filled with GFP, allowing morphological identification of spines. Five days later, mice were perfused. Brain sections (50 μm) were incubated with blocking solution as above and then incubated with mouse anti-FTO monoclonal (Novus Biologicals) and anti-rabbit GFP (1 : 500; Invitrogen, AB290) at RT for 48 h. Sections were washed, then incubated with goat-anti-rabbit/mouse Alexa 488/568 (1 : 500; Invitrogen) for 2 h at RT.

For all immunostaining experiments, the sections were mounted with PermaFluor mounting medium (Thermo Scientific) and counterstained with DAPI. Images were acquired using a confocal laser scanning microscope (LSM 710; Zeiss).

Neuro-2A Cell Culture

N2A cells (ATCC, #CCL-131) were grown in DMEM modified with 10% fetal bovine serum, 1 × Glutamax and 1X Penicillin/Streptomycin (all from Gibco). All experiments were performed on N2A cells between passage 6 and passage 10. Cells were transduced at 60% confluence and gown for 1d before fixation (4% fresh cold PFA for 20 min). Cells were stained with the indicated antibody following the protocols as above.

Synaptoneurosomal Preparation and Western Blot Analysis

Synaptoneurosomes were prepared by homogenizing four fresh hippocampi (from two mice) in ice-cold buffer, as previously described (Pilo Boyl et al, 2007). Nuclear and synaptoneurosomal fractions were separated by SDS–polyacrylamide gel electrophoresis and electroblotted onto PVDF transfer membranes. Membranes were blocked for 1 h in 10% skim milk in TBS and incubated overnight at RT with primary antibodies (FTO, 1 : 500, Novusbio). Anti-mouse/rabbit-HRP secondary antibodies were incubated at 4 °C. Optical intensity of bands associated with FTO and N-Cadherin were analyzed using Image J software. Blots were repeated a minimum of three times.

Statistics

One-way ANOVAs were used to test for group differences, followed by a Dunnett post hoc analyses on significant main effects. Statistics were performed using the Statistica software package. The Kolmogorov–Smirnov's normality test confirmed that these data were normally distributed.

Results

Context Fear Conditioning Decreases FTO Levels in Dorsal CA1 Hippocampal Neurons

Previous studies find that both the demethylase FTO and the m6A modification are enriched in the brain (Dominissini et al, 2012; Meyer et al, 2012). We first examined the expression of FTO specifically within the dorsal hippocampus of mice. Using immunohistochemistry, we found wide-spread expression of FTO in neurons, interneurons and glial cells (Figure 1). Within neurons, we observed robust staining of FTO in the nucleus and cell body, but we also observed weaker staining outside of the cell body (Figure 1). Using an antibody directed against the m6A modification, we found a similar pattern of staining m6A in dorsal hippocampal neurons (the m6A modification was present both inside and outside of neuronal nuclei, Supplementary Figure S1B). Because FTO has not previously been reported in non-nuclear neuronal compartments (McTaggart et al, 2011), we confirmed FTO expression in dendrites in vivo using an additional antibody directed against FTO (Hess et al, 2013; Supplementary Figure S1A) and in isolated hippocampal cultured neurons (Figure 2a). We further verified the presence of FTO in neuronal synapses by preparing synaptoneurosomes (purified synapses containing the pre- and postsynaptic termini; Figure 2c). Finally, we used HSV expressing GFP to fill the dendrites of infected neurons in vivo and observed FTO staining near morphologically visualized dendritic spines (Figure 2b). Together, these independent lines of evidence confirm, for the first time, the presence of FTO both within the cell body but also near synaptic spines. The pattern of expression also is consistent with the notion that FTO is important in synaptic plasticity and memory formation.

Figure 1.

Figure 1

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Cellular and subcellular distribution of FTO in dorsal hippocampus. (a–c) FTO (green) is robustly expressed in CA1 neurons in the dorsal hippocampus. In neurons, this expression is robust in the cell body, but also observed in dendrites. (a) FTO is also expressed in glial cells and interneurons, as evidenced by co-expression of FTO with cells expressing the GABA cell marker GAD65 (red), (b) the interneuronal marker parvalbumin (PV, red), or (c) the glial marker GFAP (red). The merged image contains the DNA stain DAPI (blue). Arrows indicate the same cell across images.

Figure 2.

Figure 2

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FTO is present within dendrites, near synapses, of hippocampal neurons. (a) Dendritic expression (arrows) of FTO (green) and m6A (red) in mouse primary hippocampal neurons. The merged image contains the DNA stain DAPI (blue). (b) FTO is localized in dendritic spines in vivo. Mice were microinjected with a viral vector expressing GFP which allowed spines in CA1 hippocampal neurons to be identified based on morphology (arrows). In ex vivo slices, FTO staining was co-localized with GFP-marked spines. (c) The presence of FTO in the synaptoneurosomal compartment of neurons (Syp) by western blot confirms the localization of FTO near synapses. Compartment-specific staining shows FTO expression in synaptoneurosomes (Syp) compared to whole protein extracts in hippocampus (Hip), cortex (Cx) and olfactory bulb (Ob). N-Cadherin (a protein found within both the synaptoneurosome and whole cell lysates) was used as a positive control in all lanes. Lack of the non-synaptoneurosomal protein GAPDH (glyceraldehyde 3-phosphate dehydrogenase) in Syp fraction verifies the integrity of synpatoneuronal preparation.

To examine the role of Fto in memory formation, we first assessed whether levels of Fto, or the other identified RNA demethylase Alkbh5, were affected by contextual fear conditioning. Context fear conditioning is a form of Pavlovian conditioning that critically depends on the CA1 region of dorsal hippocampus (Frankland et al, 1998; Ji and Maren, 2008; Nakazawa et al, 2016; Tanaka et al, 2014). We trained mice and collected dorsal CA1 hippocampal tissue either 0.5 or 1 h later. Levels of Fto or Alkbh5 in trained mice were compared to mice in three control groups; (1) experimentally naive mice (taken directly from homecage), (2) mice that received context placement only (no foot shock) either 0.5 or 1 h before, and (3) mice that received an immediate foot shock upon placement in the context either 0.5 or 1 h before (a type of training that does not produce strong memory (Fanselow, 1990; Frankland et al, 2004; Wiltgen et al, 2001)). Context fear conditioning transiently decreased Fto expression (Figure 3a). We performed an ANOVA with between-group factor (treatment condition) on the data and found a significant effect (F6,59=2.55; p<0.05). Post hoc comparisons revealed that the only group to differ from Homecage control was the Context+Shock group examined 0.5 h after training. In contrast, contextual fear conditioning did not change expression of Alkbh5, the other identified demethylase (F6,47=1.47; p>0.05, Figure 3b).

Figure 3.

Figure 3

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Contextual fear conditioning alters expression of Fto and methylated mRNA in dorsal hippocampus. (a) Mice were contextually fear conditioned (C+S) and CA1 region of dorsal hippocampus harvested either 0.5 or 1 h later. Control groups received context placement alone (Context alone), immediate shock alone (Immediate shock) or were taken directly from the homecage (HC). Fto expression was decreased 0.5 h after fear conditioning (C+S) compared to all other groups, which did not differ from one another (HC (n=16), C+S 0.5 h (n=10), all other conditions (n=8)). (b) In contrast, fear conditioning did not affect Alkbh5 expression (HC (n=13), C+S 0.5 h (n=10), Context only (n=8), C+S 1 h (n=8), n=5 for all other conditions). (c) Fear conditioning had no effect on m6A levels in total RNA (HC (n=7), n=4 for all other conditions), (d) but m6A levels of mRNA were increased 0.5 h after fear conditioning (HC (n=7), n=4 for all other conditions). (e) Fear conditioning decreased FTO in the synaptoneurosomal (Syp) fraction 0.5 h after training (HC (n=3), C+S 0.5 h (n=4)), with no effect on the nuclear (Nucl) abundance of FTO (HC (n=3), C+S (n=4)). Dashed yellow line represents HC control. Mean±S.E.M., *p<0.05.

Given that FTO is a demethylase, our observation that Fto levels are decreased following fear conditioning suggests that the overall level of methylated RNA should be increased after fear conditioning. To test this idea, we similarly trained mice and assessed RNA methylation in both total RNA and purified mRNA obtained from the CA1 region of hippocampus. Contextual fear conditioning did not affect m6A content of total RNA (F2,12=0.81; p>0.05, Figure 3c), but increased methylated mRNA levels (F2,12=10.77; p<0.05, Figure 3d), 0.5 h, but not 1 h, after training. Together, these data provide correlational evidence that FTO normally constrains memory formation by decreasing the levels of the m6A modification of mRNA. We next assessed the cellular distribution of FTO within the nuclear and synaptoneurosomal fractions in the hippocampus after context fear conditioning. Compared to homecage controls, we observed a decrease in levels of FTO in the synaptic fraction 0.5 h after training (F1,10=12.93; p<0.05), but no change in the nuclear fraction (F1,10=2.39; p>0.05, Figure 3e). These data are consistent with the interpretation that behavioral training that produces robust memory preferentially reduces FTO levels near synapses.

Artificially Decreasing FTO in Dorsal Hippocampus Enhances Memory

To directly test whether FTO constrains memory formation by decreasing the m6A modification of mRNA, we artificially decreased FTO levels in WT mice using a single HSV vector to deliver Cas9 targeted against Fto. We chose HSVs because these viral vectors preferentially infect excitatory neurons (Cole et al, 2012) and offer a large packaging capacity (Neve, 2012; Saeki et al, 2001) that can accommodate our CRISPR/Cas9 construct (Figure 4a). We first validated this strategy in N2A cells. We found HSV-Cas9-Fto decreased both Fto (F1,4=28.97, p<0.05, Supplementary Fig. S2A) and FTO (F1,10=70.2, p<0.001, Supplementary Fig. S2C) levels but increased m6A levels (F1,4=8.08, p<0.05, Supplementary Fig. S2B) compared to HSV-Cas9-Control. Furthermore, microinjection of HSV-Cas9-Fto into dorsal CA1 of mice decreased Fto levels in hippocampus (F1,6=8.95, p<0.05, Supplementary Fig. S2D) and decreased FTO protein levels in infected neurons (Figure 4b). Together these findings provide both in vitro and in vivo validation of FTO depletion in the dorsal hippocampus using this technique.

Figure 4.

Figure 4

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Artificially decreasing FTO in dorsal hippocampus enhances memory. (a) Schematic of HSV-CRISPR/Cas9 construct to target Fto (HSV-Cas9-Fto). (b) HSV-Cas9-Fto microinjected into dorsal CA1 region of dorsal hippocampus infected principal (excitatory) neurons where it reduced FTO expression. (c) Microinjecting HSV-Cas9-Fto enhanced memory assessed 24 h after contextual fear conditioning (n=7 for both conditions). (d, e) To validate the effects of HSV-Cas9-Fto, an HSV expressing shRNA targeted against Fto (HSV-shRNA-Fto) was also microinjected into CA1 region of dorsal hippocampus, and reduced FTO expression in infected neurons. (f) HSV-shRNA-Fto similarly enhanced memory compared to HSV expressing a scrambled control (HSV-shRNA-control (n=8), HSV-shRNA-Fto (n=6)). Mean±SEM, *p<0.05.

We used this novel strategy to examine the effects of decreasing FTO levels in the dorsal hippocampus on memory formation. We microinjected HSV-Cas9-Fto into the CA1 region of dorsal hippocampus 4 days before contextual fear conditioning and found memory measured 24 h after training was enhanced compared to mice injected with HSV-Cas9-Control (F1,12=6.96; p<0.05, Figure 4c).

To further confirm the effects of the novel HSV-Cas9-Fto virus, we designed an HSV expressing shRNA against Fto (Figure 4d). Similar to HSV-Cas9-Fto, HSV-shRNA-Fto decreased both Fto (F1,4=88.90, p<0.001, Supplementary Fig. S3A) and FTO (F1,10=9.31 p<0.05, Supplementary Fig. S3C) levels but increased m6A levels (F1,4=35.56, p<0.05, Supplementary Fig. S3B) in N2A cells. HSV-shRNA-Fto microinjection into the dorsal CA1 region of the hippocampus (Figure 4e) also decreased hippocampal expression of Fto (F1,12=7.90, p<0.05, Supplementary Fig. S3D) and decreased FTO levels in infected neurons (Figure 4e). Again, similar to HSV-Cas9-Fto, HSV-shRNA-Fto microinjected into CA1 region of dorsal hippocampus 4d before contextual fear conditioning enhanced subsequent memory expression (F1,12=8.35, p<0.05, Figure 4f). Therefore, both CRISPR/Cas9 and shRNA targeting of FTO in the dorsal hippocampus of mice produced a similar behavioral profile. Neither HSV-CRISPR/Cas9-Fto nor HSV-shRNA-Fto affected reactivity to the foot shock during training (Cas9: F1,9=0.41, p>0.05 Supplementary Fig. S2E; shRNA F1,10=0.09, p>0.05, Supplementary Fig. S3E) or post-shock freezing during training (post-shock freezing, Cas9: F1,14=0.07, p>0.05, Supplementary Fig. S2F; shRNA: F1,11=0.15, p>0.05, Supplementary Fig. S3F), indicating that the effects of FTO depletion are specific to memory formation.

Discussion

The present data provide novel evidence that FTO and mRNA methylation are actively regulated in the dorsal hippocampus in response to learning. First, we showed that the RNA demethylase FTO is present near synapses. Second, we found that levels of Fto decrease, whereas levels of methylated mRNA increase, in response to fear conditioning. Fto depletion was not observed in the context only or shock only control training groups, suggesting that particularly salient events are necessary to trigger FTO removal. Third, the preferential decrease of FTO in the synaptoneurosomal fraction hints at the importance of an increase in methylated mRNA at the synapse for memory formation. Finally, we provide direct evidence that FTO depletion specifically in excitatory CA1 neurons before training (using two independent methods) was sufficient to enhance memory. Together, these findings suggest that FTO, particularly in proximity to synapses, may normally constrain memory formation. Moreover, these results clearly show that mRNA methylation is a crucial regulator of neural plasticity.

Recent studies suggest that FTO in the brain can target a wide range of transcripts, but there is a particular enrichment of transcripts involved in synaptic activity (Hess et al, 2013; Widagdo et al, 2016). The observation that FTO may target both synaptic and non-synaptic transcripts, combined with our data showing that FTO localized near synapses is preferentially depleted by training, suggests that FTO may regulate the methylation status of distinct mRNAs depending on the compartmental location of FTO. Although this notion is thought-provoking, understanding the significance of this observation requires further exploration of methylation changes in each subcellular domain using next-generation sequencing.

The simplest model to explain how FTO affects memory formation is that FTO inhibits pro-memory transcripts at the synapses, potentially by repressing the translation of dendritically localized mRNA. Memory-inducing activity then promotes a rapid decrease in FTO, promoting those transcripts for translation. To add additional complexity, the effects of m6A methylation (and its demethylation) can have mixed effects on translation, based on specific sites methylated (Dominissini et al, 2012; Meyer et al, 2012; Schwartz et al, 2014; Wang et al, 2014; Zhao et al, 2014). Furthermore, the precise outcome of mRNA methylation is dictated by m6A-binding proteins (‘readers' of m6A), such that understanding the diverse functions of m6A-binding proteins is instrumental to understanding the complexities of m6A in memory formation. With this in mind, the overall decrease in FTO after memory formation, may represent a mixture of pro- and anti-translation effects. The baseline role of FTO may be to repress translation of pro-memory transcripts, and at the same time promote translation of anti-memory transcripts by demethylating the transcripts at different loci within mRNA. The observation that expression of Alkbh5, the other known RNA demethylase, does not change in expression after fear conditioning suggests that different RNA demethylases, and therefore their targets, are differentially controlled by memory formation. This suggests that RNA methylation exerts different influences on different transcripts after memory formation.

Given the limits of current knockdown technology, our FTO depletion necessarily targeted total FTO levels across all cellular fractions, making it unclear if the synaptic and/or nuclear function of FTO underlies the observed memory enhancement. Teasing apart individual genes or sites that FTO targets in the synaptic versus nuclear compartments will be vital to unlocking the specific function of mRNA methylation in memory formation.

Our findings are consistent with a recent study showing that virally delivered shRNA targeting FTO in the medial prefrontal cortex enhances expression of auditory cue fear memory (Widagdo et al, 2016). We show that a similar process occurs in the hippocampus, suggesting that the regulation of mRNA methylation may be a universal mechanism in memory formation. In addition, our novel observation that synaptic FTO is preferentially decreased by learning suggests that mRNA methylation and demethylation may have complex and neuronal compartment-specific functions, necessitating compartment-specific analysis of the targets of FTO and mRNA methylation.

The ability of FTO to constrain hippocampus-dependent memory suggests that FTO may help maintain the sparseness of the hippocampal memory trace, potentially aiding in the prevention of memory generalization. In this way, FTO may actively interfere with neuronal incorporation into an engram under basal conditions. Degradation or removal of FTO from the synapse may facilitate the incorporation of that neuron into the new engram.

The present findings further implicate mRNA methylation as an important novel component in memory formation and further suggest that m6A-binding proteins and local demethylation in synapses may be instrumental to precisely defining the role of mRNA methylation in memory formation.

FUNDING AND DISCLOSURE

This work was supported by grants from the Canadian Institutes of Health Research (CIHR, grant numbers MOP-74650 to SAJ, FDN143227 to PWF), Natural Science and Engineering Council of Canada (NSERCs to SAJ and PWF), Brain Canada (SAJ) and a Brain & Behavior Foundation grant (SAJ). BJW was partially supported by a SickKids Research Training Centre Restracomp Fellowship (to BJW). SAJ and PWF are both members of the Canadian Institute for Advanced Research (CIFAR). The authors declare no conflict of interest.

Footnotes

Supplementary Information accompanies the paper on the Neuropsychopharmacology website (http://www.nature.com/npp)

Supplementary Material

Supplementary Figure S1
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Supplementary Figure S2
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Supplementary Figure S3
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Supplementary Figure Legends
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Associated Data

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

Supplementary Materials

Supplementary Figure S1
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Supplementary Figure S2
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Supplementary Figure S3
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Supplementary Figure Legends
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