of 11
Experience-dependent plasticity in an innate social
behavior is mediated by hypothalamic LTP
Stefanos Stagkourakis
a,1
, Giada Spigolon
b
, Grace Liu
a
, and David J. Anderson
a,c,1
a
Division of Biology and Biological Engineering 156-29, Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena,
CA 91125;
b
Biological Imaging Facility, California Institute of Technology, Pasadena, CA 91125; and
c
HHMI, California Institute of Technology, Pasadena,
CA 91125
Contributed by David J. Anderson, August 25, 2020 (sent for review June 9, 2020; reviewed by Robert C. Malenka and Richard Mooney)
All animals can perform certain survival behaviors without prior
experience, suggesting a
hard wiring
of underlying neural circuits.
Experience, however, can alter the expression of innate behaviors.
Where in the brain and how such plasticity occurs remains largely
unknown. Previous studies have established the phenomenon of
aggression training,
in which the repeated experience of winning
successive aggressive encounters across multiple days leads to in-
creased aggressiveness. Here, we show that this procedure also
leads to long-term potentiation (LTP) at an excitatory synapse, de-
rived from the posteromedial part of the amygdalohippocampal
area (AHiPM), onto estrogen receptor 1-expressing (Esr1
+
)neurons
in the ventrolateral subdivision of the ventromedial hypothalamus
(VMHvl). We demonstrate further that the optogenetic induction of
such LTP in vivo facilitates, while optogenetic long-term depression
(LTD) diminishes, the behavioral effect of aggression training, im-
plying a causal role for potentiation at AHiPM
VMHvl
Esr1
synapses
in mediating the effect of this training. Interestingly,
25% of inbred
C57BL/6 mice fail to respond to aggression training. We show that
these individual differences are correlated both with lower levels of
testosterone, relative to mice tha
t respond to such training, and with
a failure to exhibit LTP after aggression training. Administration of
exogenous testosterone to such nonaggressive mice restores both
behavioral and physiological plasticity. Together, these findings re-
veal that LTP at a hypothalamic circuit node mediates a form of
experience-dependent plasticity
in an innate social behavior, and a
potential hormone-dependent basi
s for individual differences in such
plasticity among genetically identical mice.
innate behaviors
|
long-term potentiation
|
ventromedial hypothalamus
|
testosterone
B
rains evolved to optimize the survival of animal species by
generating appropriate behavioral responses to both stable
and unpredictable features of the environment. Accordingly, two
major brain strategies for behavioral control have been selected.
In the first,
hard-wired
neural circuits generate rapid innate
responses to sensory stimuli that have remained relatively con-
stant and predictable over evolutionary timescales (1, 2). In the
second, neural circuits generate flexible responses to stimuli that
can change over an individual
s life span, through learning and
memory (3, 4).
One common view is that these two strategies are implemented
by distinct neuroanatomical structures and neurophysiological
mechanisms. According to this view, in the mammalian brain,
innate behaviors are mediated by evolutionarily ancient subcorti-
cal structures, such as the extended amygdala and hypothalamus,
which link specific sensory inputs to evolutionarily
prepared
motor outputs through relatively stable synaptic connections
(5). In contrast, learned behaviors are mediated by more recently
evolved structures, such as the cortex and hippocampus, which
compute flexible input
output mapping responses through syn-
aptic plasticity mechanisms (6). This view has been supported by
studies that have revealed distinct anatomical pathways through
which olfactory cues evoke learned vs. innate behaviors in both the
mouse (7
9) and in
Drosophila
(reviewed in ref. 10).
This view of distinct neural pathways for innate vs. learned
behaviors, however, is challenged by the case of behaviors that,
while apparently
instinctive,
can nevertheless be modified by
experience. For example, studies in rodents have shown that de-
fensive behaviors such as freezing can be elicited by both un-
conditional and conditional stimuli, the latter via Pavlovian
associative learning (reviewed in ref. 11). In this case, the pre-
vailing view argues for parallel pathways: Conditioned defensive
behavior is mediated by circuitry involving the hippocampus,
the thalamus, and the basolateral/central amygdala whereas
innate defensive responses to predators are mediated by the
medial amygdala (MeA)/bed nucleus of the stria terminalis
(BNST) and hypothalamic structures (reviewed in ref. 12).
Although the basolateral amygdala contains representations of
unconditioned aversive and appetitive stimuli, these representa-
tions are used as the cellular substrate for pairing with conditioned
stimuli (13, 14). Despite this segregation of learned and innate
defensive pathways, it remains possible that experience-dependent
influences on other innate behaviors may involve plasticity at
synapses that directly mediate instinctive behaviors.
We have investigated this issue usi
ng intermale offensive aggres-
sion in mice. While aggression has been considered by ethologists as
a prototypical innate behavior (15, 16), animals can be trained to be
more aggressive by repeated fighting experience (17
19). The
neural substrates and physiological mechanisms underlying this
form of experience-dependent plasticity remain unknown. In-
terestingly, inbred strains of laboratory mice exhibit individual
Significance
Modification of instinctive behaviors occurs through experience,
yet the mechanisms through whic
h this happens have remained
largely unknown. Recent studies have shown that potentiation
of aggression, an innate behavior, can occur through repeated
winning of aggressive encounters. Here, we show that syn-
aptic plasticity at a specific excitatory input to a hypothalamic
cell population is correlated with, and required for, the ex-
pression of increasingly higher levels of aggressive behavior
following aggressive experience. We additionally show that
the amplitude and persistence of long-term potentiation at this
synapse are influenced by serum testosterone, administration
of which can normalize individual differences in the expression
of intermale aggression among genetically identical mice.
Author contributions: S.S., G.S., and D.J.A. designed research; S.S. and G.S. performed
research; S.S., G.S., G.L., and D.J.A. analyzed data; and S.S., G.S., and D.J.A. wrote
the paper.
Reviewers: R.C.M., Stanford University School of Medicine; and R.M., Duke University.
The authors declare no competing interest.
This open access article is distributed under
Creative Commons Attribution-NonCommercial-
NoDerivatives License 4.0 (CC BY-NC-ND)
.
1
To whom correspondence may be addressed. Email: stefanos.stagkourakis@caltech.edu
or wuwei@caltech.edu.
This article contains supporting information online at
https://www.pnas.org/lookup/suppl/
doi:10.1073/pnas.2011782117/-/DCSupplemental
.
First published September 24, 2020.
www.pnas.org/cgi/doi/10.1073/pnas.2011782117
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differences in this form of plasticity, with up to 25% of animals
failing to respond to aggression training (19). The biological basis
of this heterogeneity is not understood. Here, we provide data
supporting a plausible explanation for both experience-dependent
changes and individual differences in male aggressiveness, one
that links physiological plasticity at hypothalamic synapses to ag-
gressive behavior and sex hormone levels.
Results
Aggression Training Increases VMHvl
Esr1
Neuron Activity.
Aggression
levels escalate following repeated fighting experience (19, 20), an
effect termed here as
aggression training.
Using a five-
consecutive-day resident
intruder (5cdRI) assay (Fig. 1
A
),
aggression training was performed on a cohort of C57BL/6 Esr1-
Cre mice (
n
=
138). Most of these animals displayed increased
aggression levels that remained significantly elevated, relative to
pretraining animals, over a prolonged period of time (maximal
period tested, 3 mo) (Fig. 1
C
F
). This assay enabled comparison
of socially naive, vs. aggressive (AGG), and nonaggressive
(NON) mice, the latter of which represented
23% of all males
tested (Fig. 1
B
). Interestingly, aggression levels in AGG mice
were found to plateau on the fourth and fifth day of the 5cdRI
assay (Fig. 1
C
E
).
To test whether aggression training involves plasticity in a
structure that mediates an innate form of aggression (21), we
initially focused on VMHvl
Esr1
(estrogen receptor 1-expressing
neurons in the ventrolateral subdivision of the ventromedial hy-
pothalamus) neurons, a group of cells highly overlapping with
VMHvl progesterone receptor-expressing neurons, both of which
are necessary and sufficient for eliciting attack in socially naive
animals (22
24). Using brain slice Ca
2+
imaging, the average
baseline activity of VMHvl
Esr1
neurons was found to increase in
AGGs but not in NONs, following aggression training (Fig. 1
G
J
).
Voltage-clamp ex vivo VMHvl
Esr1
neuron recordings revealed a
significant increase in the frequency and amplitude of sponta-
neous excitatory postsynaptic currents (sEPSCs) in AGG mice
(Fig. 2
A
C
), relative to socially naive animals. In contrast,
voltage-clamp ex vivo VMHvl
Esr1
neuron recordings in slices from
NON mice revealed an increase in the frequency and amplitude of
spontaneous inhibitory postsynaptic currents (sIPSCs) (
SI Ap-
pendix
,Fig.S1
). These observations raised the possibility that
synaptic potentiation/depression mechanisms may be present in
VMHvl
Esr1
neurons (25).
We first investigated whether potentiation of an excitatory
input occurs on these cells. Anatomical studies previously iden-
tified a strong purely excitatory input to VMHvl
Esr1
cells, which
originates anatomically from the posteromedial part of the
amygdalohippocampal area (AHiPM) (also termed the posterior
amygdala [PA]) (26). In vivo optogenetic activation of AHiPM
evoked aggression (Fig. 2
D
H
), confirming recent reports (27, 28).
We found, moreover, that this effect is amplified in aggression-
experienced animals (Fig. 2
D
H
). Investigation of the functional
connectivity at AHiPM
VMHvl
Esr1
synapses in acute slices
using optogenetic activation of AHiPM inputs (Fig. 2
I
K
) in-
dicated that this projection is entirely excitatory, and at least
in part monosynaptic (
SI Appendix
, Fig. S2
), with an absence
of any evoked responses at the reversal potential for excitation
(holding voltage
=
0 mV, Fig. 2
J
,
Middle Row
) and reliable
photostimulation-evoked currents at the reversal potential for
inhibition (holding voltage
=
70 mV, Fig. 2
J
,
Bottom Row
).
These observations raised the question of whether potentiation
at AHiPM
VMHvl
Esr1
synapses underlies the observed increase
in the excitatory synaptic input onto VMHvl
Esr1
neurons fol-
lowing aggression training.
Plasticity at a Hypothalamic Synapse Following Aggression Training.
At synapses that can undergo long-term potentiation (LTP), the
postsynaptic response to stimulation of excitatory presynaptic
inputs largely depends on the ratio of
N
-methyl-
D
-aspartate
(NMDA) and
α
-amino-3-hydroxy-5-methyl-4-isoxazolepropionic
acid (AMPA) receptors (29). Therefore, we measured the AMPA/
NMDA ratio at AHiPM
VMHvl
Esr1
synapses before vs. after
aggression training (30, 31). This analysis revealed a significantly
higher AMPA/NMDA ratio in AGGs following such training,
compared to socially naive and NON mice (Fig. 2
K
). We also
investigated synaptic integration properties (32) in VMHvl
Esr1
neurons from socially naive, AGG (trained), and NON mice. We
observed depressing/static synaptic integration in socially naive
and NON mice, and facilitating synaptic integration in the
VMHvl
Esr1
neurons of AGG (trained) mice (Fig. 2
L
and
M
).
Changes in the AMPA/NMDA ratio and synaptic integration
properties are often accompanied by changes in neuronal mor-
phology and dendritic spine complexity, which can be indicative
of structural LTP (sLTP) (33). To investigate this possibility,
VMHvl
Esr1
neurons from which the AMPA/NMDA measure-
ments were acquired were filled with neurobiotin, and super-
resolution images for reconstruction were obtained using the
Airyscanning technique in a ZEISS LSM 880 (34). Analysis of
second-order dendritic segments identified a prominent increase
in dendritic complexity in VMHvl
Esr1
neurons from AGG (trained)
mice,incomparisontosociallynaiveandNONmice(Fig.3
A
L
).
These changes were reflected in most spine parameters mea-
sured, including density, branching points, volume, area, length,
and mean diameter (Fig. 3
M
R
). However, the principal feature
was an increase in the number of short-length spines, suggesting
they were newly generated during or after training. While it is not
yet clear whether these second-order dendrites receive input from
AHiPM, these observations provided morphological evidence of
VMHvl
Esr1
plasticity following aggression training. We therefore
further investigated plasticity using
more specific electrophysiological
protocols.
Experimental Induction of LTP and Long-Term Depression at AHiPM
VMHvl
Esr1
Synapses.
LTP and long-term depression (LTD) can be
experimentally induced in slices from brain areas typically asso-
ciated with higher cognitive processing, such as the hippocampus
(reviewed in ref. 35), but few studies have demonstrated that this
can occur in the hypothalamus (36), a site traditionally considered
the source of instincts.
To determine whether LTP can be experimentally induced at
AHiPM
VMHvl
Esr1
synapses ex vivo
,
we employed acute VMHvl
slices and used an optogenetics protocol composed of three
bouts of photostimulation of Chronos-expressing AHiPM termi-
nals, during which the postsynaptic VMHvl
Esr1
neuron (identified
by Cre-dependent expression of tdTomato) was voltage-clamped
at a depolarized membrane potential (
30 mV, Fig. 4
A
and
B
).
The choice of this Hebbian stimulation protocol was based on our
initial finding that combined pre- and postsynaptic depolarization
was necessary for induction
of potentiation at AHiPM
VMHvl
Esr1
synapses (
SI Appendix
,Fig.S3
). The 20 Hz stimulation fre-
quency of AHiPM terminals was chosen based on our pre-
vious demonstration that dire
ct optogenetic s
timulation of
VMHvl
Esr1
neurons at this frequency drives action potential
firing with 100% spike fidelity ex vivo as well as in vivo
,
without
depolarization block (22), and that it produces reliable synaptic
integration in VMHvl
Esr1
neurons (Fig. 2
L
and
M
). Whole-cell
voltage-clamp recordings
composed of 20-min baseline and
20-min follow-up
revealed that the majority of VMHvl
Esr1
neurons recorded in slices from socially naive, AGG, and NON
mice exhibited synaptic potentiation in response to this manipu-
lation (Fig. 4
C
). Comparison of the responses with the animals
aggression phenotypes revealed, however, that the dynamics of the
response, including its maximum amplitude and persistence, dif-
fered between groups, with synaptic potentiation in slices from
NON mice returning to baseline levels within the maximal period
tested (20 min, Fig. 4
D
). Based on the Hebbian conditions
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required to evoke this form of synaptic potentiation, and the
similarity of its features to hippocampal LTP (37), we refer to this
form of plasticity as hypothalamic LTP.
We also investigated whether AHiPM
VMHvl
Esr1
synapses
can also express long-term synaptic depression (LTD), using a
longer stimulation protocol f
or activating AHiPM terminals
(10 min continuous stimulation at 1Hz, Fig. 4
E
). Similar to the
case of LTP, most VMHvl
Esr1
neurons expressed LTD of varying
amplitude and dynamics, in a manner that varied with the animals
aggression phenotypes (Fig. 4
F
and
G
). Interestingly, VMHvl
Esr1
cells from NON mice expressed higher amplitude LTD (Fig. 4
G
)
than cells from other groups.
These observations raised the question of whether LTP
and LTD can be induced at AHiPM
VMHvl
Esr1
synapses in
behaving animals by optogenet
ic stimulation or aggression
training. For optogenetic induction of LTP, we simulta-
neously depolarized both pre- and postsynaptic terminals
using different opsins with an overlap at 535 nm (38):
Chronos in AHiPM and ChrimsonR in VMHvl
Esr1
neurons
(Fig. 4
H
). Chronic implantation of a silicon probe optrode in
the VMHvl (
Materials and Methods
) (39) allowed the de-
tection of optically induced LTP or LTD as a change in
AHiPM stimulation-evoked loca
l field excitatory postsyn-
aptic potentials (fEPSPs, Fig. 4
I
K
). Application of the
Hebbian protocol in socially naive, freely moving mice led to the
robust expression of LTP in VMHvl (Fig. 4
L
) while the 10-min
long stimulation at 1 Hz led to robust expression of LTD (Fig.
4
M
). Although VMHvl
Esr1
neurons in silicon probe recordings
were identified by optogenetic photo-tagging of postsynaptic cells,
we cannot exclude that other classes of VMHvl neurons contribute
to the recorded fEPSPs.
To investigate whether LTP can be behaviorally induced
in vivo, fEPSPs were monitored during a 10-min baseline period
and then daily following aggression training, using optogenetic
Fig. 1.
Aggression learning alters baseline activity dynamics in VMHvl
Esr1
neurons. (
A
) Schematic of the experimental design using the five-consecutive-day
resident
intruder (5cdRI) test, with three follow-up dates, used for the study of the behavioral effect of aggression training. (
B
) Summary indicative of the
number of male animals exhibiting the two distinct aggression phenotypes (
n
=
138). (
C
) Quantification of the cumulative duration (in %) of aggression per trial
(
n
=
15 AGG mice per group, Kruskal
Wallis one-way ANOVA with uncorrected Dunn
s post hoc test,
P
<
0.0001 between day 1 and day 3 of the 5cdRI assay,
P
=
0.4819 between day 4 and day 5 of the 5cdRI assay,
P
=
0.0149 between day 1 and day 30). (
D
) Quantification of attack latency (in seconds) of aggression per trial
(
n
=
15 AGG mice per group, Kruskal
Wallis one-way ANOVA with uncorrected Dunn
s post hoc test,
P
<
0.0001 between day 1 and day 3 of the 5cdRI assay,
P
=
0.5602 between day 4 and day 5 of the 5cdRI assay,
P
=
0.2184 between day 1 and day 30). (
E
) Quantification of the average attack episode duration (in seconds)
per trial (
n
=
15 AGG mice per group, Kruskal
Wallis one-way ANOVA with uncorrected Dunn
s post hoc test,
P
<
0.0001 between day 1 and day 3 of the 5cdRI
assay,
P
=
0.3326 between day 4 and day 5 of the 5cdRI assay,
P
=
0.0209 between day 1 and day 30). (
F
) Behavior raster plots from AGG and NON mice, at
different days of the 5cdRI test. (
G
) Baseline Ca
2+
activity of VMHvl
Esr1
neurons recorded ex vivo, in brain slices of socially naive, aggressive (AGG), and nonag-
gressive (NON) males. (
H
) Quantification of active cells per slice (
n
=
16 to 19 brain slices, collected from
n
=
7 to 9 mice, one-way ANOVA with Dunnett
sposthoc
test,
P
=
0.0002 between socially naive and AGG mouse brain slices,
P
=
0.6358 between socially naive and NON mouse brain slices). (
I
) Quantification of Ca
2+
spike
frequency per cell (
n
=
16 to 19 brain slices, collected from
n
=
7 to 9 mice, Kruskal
Wallis one-way ANOVA with Dunn
s post hoc test,
P
<
0.0001 between socially
naive and AGG mice,
P
=
0.3331 between socially naive and NON mice). (
J
) Quantification of Ca
2+
spike amplitude (
n
=
16 to 19 brain slices, collected from
n
=
7to
9 mice, Kruskal
Wallis one-way ANOVA with Dunn
sposthoctest,
P
<
0.0001 between socially naive and AGG mice,
P
<
0.0001 between socially naive and NON
mice). ns, not significant; *
P
<
0.05, ***
P
<
0.001, ****
P
<
0.0001.
Δ
F/F was used to calculate Ca
2+
-dependent changes in fluorescence, where F is the instan-
taneous fluorescence from the raw ROI time series. In box plots, the median is represented by the center line, the interquartile range is represented b
y the box
edges, the bottom whisker extends to the minimal value, and the top whisker extends to the maximal value.
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test pulses to briefly activate AHiPM terminals. Indeed, LTP
(measured as an increase in fEPSP amplitude) was induced in
VMHvl
Esr1
neurons immediately after aggression (Fig. 4
N
P
,
n
=
4 mice tested). Notably, the behavioral induction of LTP
(Fig. 4
O
) led to a persistent change in the amplitude of the
fEPSP. This might suggest a lack of an early- vs. late-phase
Fig. 2.
AHiPM
VMHvl
Esr1
synapses become potentiated following aggression training. (
A
) Representative recordings of spontaneous excitatory postsynaptic
currents (sEPSCs) from VMHvl
Esr1
neurons, from socially naive, AGG, and NON mice. (
B
,
Left
) Cumulative frequency distribution plot of sEPSC IEI in voltage-
clamp recordings collected from VMHvl
Esr1
neurons from socially naive, AGG, and NON mice (
n
=
14 to 18 VMHvl
Esr1
neuron recordings per group, collected from 8
to 10 mice per group, Kolmogorov
Smirnov test,
P
<
0.0001 between socially naive and AGG mice,
P
=
0.3454 between socially naive and NON mice). (
B
,
Right
)
Comparison of sEPSC frequency from voltage-clamp recordings collected from VMHvl
Esr1
neurons from socially naive, AGG, and NON mice (
n
=
14 to 18 VMHvl
Esr1
neuron recordings per group, collected from 8 to 10 mice per group, one-way ANOVA with Dunnett
sposthoctest,
P
<
0.0001 between socially naive and AGG
mouse brain slices,
P
=
0.2576 between socially naive and NON mouse brain slices). (
C
,
Left
) Cumulative frequency distribution plot of sEPSC amplitude in voltage-
clamp recordings collected from VMHvl
Esr1
neurons from socially naive, AGG, and NON mice (
n
=
14 to 18 VMHvl
Esr1
neuron recordings per group, collected from 8
to 10 mice per group, Kolmogorov
Smirnov test,
P
<
0.0001 between socially naive and AGG mice,
P
<
0.0001 between socially naive and NON mice). (
C
,
Right
)
Comparison of sEPSC frequency from voltage-clamp recordings collected from VMHvl
Esr1
neurons from socially naive, AGG, and NON mice (
n
=
14 to 18 VMHvl
Esr1
neuron recordings per group, collected from 8 to 10 mice per group, Kruskal
Wallis one-way ANOVA with uncorrected Dunn
s post hoc test,
P
=
0.0041 between
socially naive and AGG mouse brain slices,
P
=
0.6712 between socially naive and NON mouse brain slices). (
D
,
Left
) Schematic of the experimental design used for
optogenetic studies of aggression following photoactivation of AHiPM. (
Right
) Confocal image indicative of Chronos-eYFP expression in AHiPM. (
E
)Schematic
illustration of the experimental protocol used in AHiPM
Chronos
stimulation experiments. (
F
) Sample behavior raster plots with in vivo optogenetics and social
behavior in the resident
intruder (RI) assay, of socially naive and AGG mice. (
G
) Quantification of attack latency, in the first and sixth RI trial (
n
=
8 mice per group,
first RI, two-sided Mann
Whitney
U
test,
P
=
0.0033 between YFP and Chronos groups, sixth RI, two-tailed unpaired
t
test,
P
=
0.0022 between YFP and Chronos
groups). (
H
) Quantification of attack duration, in the first and sixth RI trial (
n
=
8 mice per group, first RI, two-sided Mann
Whitney
U
test,
P
=
0.0079 between YFP
and Chronos groups, sixth RI,
P
=
0.0011 between YFP and Chronos groups). (
I
,
Top
) Schematic of the experimental design used for the study of the
AHiPM
VMHvl synapse. (
Bottom
) Confocal image indicative of AHiPM originating processes in VMHvl. (
J
) Identification of the AHiPM
VMHvl synapse as purely
excitatory, and extraction of the AMPA to NMDA ratio in socially naive, AGG, and NON mice (average of
n
=
13 to 14 neuron recordings from 8 to 9 socially naive,
AGG, and NON mice, respectively). (
K
) Quantification of the AMPA/NMDA ratio (
n
=
13 to 14, Kruskal
Wallis one-way ANOVA with Dunn
s post hoc test,
P
=
0.0005 between socially naive and AGG mice,
P
>
0.9999 between socially naive and NON mice). (
L
) Synaptic integration in VMHvl
Esr1
neurons from socially naive,
AGG, and NON mice (average traces of
n
=
7 to 10 neuron recordings from 7 to 9 mice, respectively). (
M
) Quantification of the five optically evoked excitatory
postsynaptic potentials (oEPSPs) peak amplitude presented in
L
. (Top) oEPSP amplitude quantification in VMHvl
Esr1
neurons recorded from socially naive mice (
n
=
10 neurons from nine mice, Friedman one-way ANOVA with Dunn
s post hoc test,
P
>
0.9999 between first and second pulse,
P
=
0.3587 between first and third
pulse,
P
=
0.0028 between first and fourth pulse, and
P
=
0.0009 between first and fifth pulse). (
Middle
) oEPSP amplitude quantification in VMHvl
Esr1
neurons
recorded from AGG mice (
n
=
10 neurons from nine mice, one-way ANOVA with Dunnett
s post hoc test,
P
=
0.2935 between first and second pulse,
P
<
0.0001
between first and third pulse,
P
<
0.0001 between first and fourth pulse, and
P
<
0.0001 between first and fifth pulse). (
Bottom
) oEPSP amplitude quantification in
VMHvl
Esr1
neurons recorded from NON mice (
n
=
7 neurons from seven mice, one-way ANOVA with Dunnett
sposthoctest,
P
=
0.9865 between first and second
pulse,
P
=
0.5704 between first and third pulse,
P
=
0.0751 between first and fourth pulse, and
P
=
0.9803 between first and fifth pulse). ns, not significant; **
P
<
0.01, ***
P
<
0.001, ****
P
<
0.0001. In box plots, the median is represented by the center line, the interquartile range is represented by the box edges, the bottom
whisker extends to the minimal value, and the top whisker extends to the maximal value. V
H
, holding voltage; IEI, inter-event interval, o.f., optic fiber; DIO-tdT,
Cre-dependent tdTomato expression.
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distinction in LTP at AHiPM
VMHvl
Esr1
synapses, in contrast
to LTP in the hippocampus and the amygdala (40).
The above findings identified hy
pothalamic synaptic plastic-
ity, and specifically LTP and LTD
, as mechanisms that can alter
VMHvl
Esr1
neuronal excitability and w
hich are correlated with
behavioral plasticity. Next, we
sought to address whether LTP
or LTD play a causal role in the behavioral effect of aggression
training.
LTP Facilitates and LTD Inhibits Potentiation of Aggression Following
Training.
To address whether LTP at AHiPM
VMHvl
Esr1
syn-
apses can influence the expression of aggressive behavior in in-
experienced animals, we optogenetically induced LTP in vivo in
socially naive, solitary mice. The AHiPM of Esr1-Cre mice was
transduced with Chronos or YFP while VMHvl
Esr1
neurons were
transduced with Cre-dependent ChrimsonR or mCherry (Fig. 4
H
and
SI Appendix
, Fig. S4
A
). The effects of these manipulations
Fig. 3.
Increased dendritic spine complexity in VMHvl
Esr1
neurons following aggression training. (
A
) Maximum projection confocal image of a VMHvl
Esr1
neuron from a socially naive mouse recorded ex vivo
,
and filled with Neurobiotin. (
B
) Three-dimensional (3D) rendering of a s
econd order dendritic segment Airyscan
image from the neuron presented in
A
.(
C
) Overlay of reconstruction data generated in Imaris aga
inst 3D rendering for the dendritic segment presented in
B
.(
D
)
Reconstructed dendritic segment of a VMHvl
Esr1
neuron from a socially naive mouse, with color coding for the dendrite and spines. (
E
) Maximum projection confocal
image of a VMHvl
Esr1
neuron from an aggressive (AGG) mouse recorded ex vivo
,
and filled with Neurobiotin. (
F
) A 3D rendering of a second order dendritic segment
Airyscan image from the neuron presented in
E
.(
G
) Overlay of reconstruction data generated in Imaris against 3D rendering for the dendritic segment presented in
F
.
(
H
) Reconstructed dendritic segment of a VMHvl
Esr1
neuron from an AGG mouse, with color coding for the dendrite and spines. (
I
) Maximum projection confocal image
of a VMHvl
Esr1
neuron from a nonaggressive (NON) mouse recorded ex vivo
,
and filled with Neurobiotin. (
J
) A 3D rendering of a second order dendritic segment
Airyscan image from the neuron presented in
I
.(
K
) Overlay of reconstruction data generated in Imaris against 3D rendering for the dendritic segment presented in
J
.
(
L
) Reconstructed dendritic segment of a VMHvl
Esr1
neuron from a NON mouse, with color coding for the dendrite and spines. (
M
) Quantification of spine density in
second order dendrites of VMHvl
Esr1
neurons from socially naive, AGG, and NON mice (
n
=
3 to 5 cells per group,
n
=
1 cell per brain slice per animal,
n
=
23 to 26
segments analyzed per group, Kruskal
Wallis one-way ANOVA with Dunn
s post hoc test,
P
<
0.0001 between socially naive and AGG mice,
P
=
0.0432 between
socially naive and NON mice). (
N
) Quantification of branching points in second order dendrites of VMHvl
Esr1
neurons from socially naive, AGG, and NON mice
(
n
=
23 to 26 segments analyzed per group, Kruskal
Wallis one-way ANOVA with Dunn
s post hoc test,
P
<
0.0001 between socially naive and AGG mice,
P
=
0.9969 between socially naive and NON mice). (
O
) Quantification of spine volume in second order dendrites of VMHvl
Esr1
neurons from socially naive, AGG, and
NON mice (
n
=
23 to 26 segments analyzed per group, Kruskal
Wallis one-way ANOVA with Dunn
s post hoc test,
P
<
0.0001 between socially naive and AGG
mice,
P
=
0.4640 between socially naive and NON mice). (
P
) Frequency distribution plot of spine area, of spines present in second order dendrites in VMHvl
Esr1
neurons from socially naive, AGG, and NON mice (
n
=
3 to 5 cells per group,
n
=
1 cell per brain slice per animal,
n
=
402 to 2,365 spines per group). (
Q
) Frequency
distribution plot of spine length, of spines present in second order dendrites in VMHvl
Esr1
neurons from socially naive, AGG, and NON mice (
n
=
402 to 2,365
spines per group). (
R
) Frequency distribution plot of spine mean diameter, of spines present in second order dendrites in VMHvl
Esr1
neurons from socially naive,
AGG, and NON mice (
n
=
402 to 2,365 spines per group). ns, not significant; *
P
<
0.05, ****
P
<
0.0001. In box plots, the median is represented by the center line,
the interquartile range is represented by the box edges, the bottom whisker extends to the minimal value, and the top whisker extends to the maximal value.
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Fig. 4.
Induction of LTP and LTD at AHiPM
VMHvl
Esr1
synapses ex vivo and in vivo. (
A
) Schematic of the experimental design used to study the induction of
LTP and LTD ex vivo in socially naive, aggressive (AGG) and nonaggressive (NON) mice. (
B
) Illustration of the experimental protocol used to induce LTP in the
AHiPM
VMHvl synapse. (
C
,
Left
) Heat map illustrating the magnitude of LTP induction in all recorded VMHvl
Esr1
neurons. (
Middle
) Average current im-
mediately prior to and following the induction of LTP (
Middle
,
n
=
28 neurons collected from the three groups
socially naive, AGG, and NON, with
n
=
6to8
mice per group, light color envelope is the SE). (
Right
) Quantification of the optically evoked excitatory post-synaptic current (oEPSC), prior to and following
the induction of LTP (pre- vs. postpairing,
n
=
28 neurons collected from the three groups
socially naive, AGG, and NON, with
n
=
6 to 8 mice per group, two-
tailed Wilcoxon signed-rank test,
P
<
0.0001). (
D
) Identification of differences in amplitude and persistence of LTP in socially naive, AGG, and NON mice (
n
=
9
neurons for six socially naive mice,
n
=
10 neurons from eight AGGs, and
n
=
9 neurons from six NONs, Kolmogorov
Smirnov test for curve comparison,
P
=
0.0183 between socially naive and AGG mice,
P
<
0.0001 between socially naive and NON mice, and
P
<
0.0001 between AGG and NON mice). (
E
) Illustration
of the experimental protocol used to induce LTD in the AHiPM
VMHvl synapse. (
F
,
Left
) Heat map illustrating the magnitude of LTD induction in all recorded
VMHvl
Esr1
neurons. (
Middle
) Average current immediately prior to and following the induction of LTD (
Middle
,
n
=
33 neurons collected from the three
groups
socially naive, AGG, and NON, with
n
=
8 mice per group, light color envelope is the SE). (
F
,
Right
) Quantification of the oEPSC, prior to and following
the induction of LTD (pre- vs. postpairing,
n
=
33 neurons collected from the three groups
socially naive, AGG, and NON, with
n
=
8 mice per group, two-
tailed Wilcoxon signed-rank test,
P
<
0.0001). (
G
) LTD dynamics in the three groups (
n
=
12 neurons for eight socially naive mice,
n
=
10 neurons from eight
AGGs, and
n
=
11 neurons from eight NONs, Kolmogorov
Smirnov test for curve comparison,
P
=
0.0002 between socially naive and AGG mice,
P
>
0.9999
between socially naive and NON mice, and
P
=
0.0008 between AGG and NON mice). (
H
) Schematic of the experimental design used to study the induction
of LTP and LTD in vivo in socially naive mice. (
I
) Schematic illustration of the target coordinates of the optrode used to record local field potentials in VMHvl.
(
J
,
Left
) Representative confocal image of Chronos-eYFP expression in AHiPM. (
Middle
) Representative confocal image of the silicon probe tract targeted to
VMHvl. (
Right
) High magnification confocal image of VMHvl. (
K
) Illustration of the experimental design used to induce LTP or LTD in the AHiPM
VMHvl
synapse in vivo. (
L
,
Left
) Plot of the average of four experiments from four mice of field EPSP slope (normalized to baseline period) before and after optically
induced LTP (oiLTP). (Middle) In vivo average field response prior to and following the induction of LTP. (
Right
) Quantification of optically induced fEPSPs,
prior to and following the induction of LTP (pre- vs. postpairing,
n
=
4 mice per group, two-tailed paired
t
test,
P
=
0.0283). (
M
,
Left
) Plot of the average of
four experiments from four mice of fEPSP slope (normalized to baseline period) before and after oiLTD. (
Middle
) In vivo average field response prior to and
following the induction of LTD. (
Right
) Quantification of optically induced fEPSPs, prior to and following the induction of LTD (pre- vs. postpairing,
n
=
4
mice
per group, two-tailed paired
t
test,
P
=
0.0007). (
N
) Illustration of the experimental design used to test the behavioral induction of LTP. (
O
,
Left
)Plotofthe
average of four experiments from four mice of fEPSP slope (normalized to baseline period) before and after behaviorally induced LTP (biLTP). (
Middle
) In vivo
average field response prior to and following the behavioral induction of LTP. (
Right
) Quantification of optically induced fEPSPs, prior to and following social
behavior experience in a socially naive mouse (pre- vs. postpairing,
n
=
4 mice per group, two-tailed paired
t
test,
P
=
0.0071). (
P
) Illustration of the behaviors
expressed in the resident
intruder assay from socially naive mice used for the in vivo study of hypothalamic LTP. ns, not significant; *
P
<
0.05, **
P
<
0.01,
***
P
<
0.001, ****
P
<
0.0001. In box plots, the median is represented by the center line, the interquartile range is represented by the box edges, the bottom
whisker extends to the minimal value, and the top whisker extends to the maximal value.
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were investigated behaviorally, not physiologically; therefore,
silicon probes were not implanted.
Following the application of the optogenetic LTP induction
protocol over three consecutive days in the absence of any social
experience, the RI test was performed on the fourth day without
optogenetic manipulations (
SI Appendix
, Fig. S4
B
). The opsin-
expressing mice exhibited significantly elevated levels of ag-
gression, measured as an increase in attack duration, number of
attacks per trial, and a decrease in attack latency, in comparison
to YFP-expressing control mice (
SI Appendix
, Fig. S4
C
G
).
These data indicate that the experimental induction of LTP at
AHiPM
VMHvl
Esr1
synapses in vivo can increase aggressive-
ness in the absence of social experience.
We investigated next whether optogenetically evoked LTP or
LTD can modify the effects of aggression training (Figs. 4
K
M
and 5
A
). To determine whether LTP could facilitate aggression
training, the LTP induction protocol was delivered at the end of
each RI trial, in both the control (XFP-expressing) and LTP
(opsin-expressing) groups. In a separate experiment, the LTD
induction protocol was delivered at the end of each RI trial in
both the control and opsin-expressing groups (Fig. 5
B
). Appli-
cation of LTD is expected to override any endogenous LTP that
may have occurred (41); therefore, if LTP is required in vivo for
the behavioral effect of aggression training, then LTD induction
should diminish this effect. As in Fig. 1
A
, smaller size BALB/c
intruders were used as intruders in the RI assay to increase the
expression of aggression by C57BL/6N
Esr1-Cre
resident mice (Fig. 5
C
).
Aggression levels were recorded and analyzed on each day of
the 5cdRI assay (i.e., 24 h following the previous LTP or LTD
manipulation), with the exception of day 1.
Applying LTP or LTD induction protocols in vivo facilitated
or diminished the behavioral effect of aggression training, re-
spectively, as reflected by increased aggression/trial (percentage
of the total trial duration occupied by aggressive behavior) and
decreased attack latency (Fig. 5
D
K
). Interestingly, although
LTP was found to enhance the behavioral effect of aggression
training on the second and third day of the 5cdRI assay, the
effect plateaued on days 4 and 5, at a level similar to the control
group (see also Fig. 1
C
), suggesting an effect that can increase
the rate but not the extent of learning. In contrast, LTD had a
profound inhibitory effect on aggression training, leading to similar
aggression levels following day 1 and day 5 of the 5cdRI test (Fig. 5
D
,
two-tailed paired
t
test,
P
=
0.0592 between day 1 and day 5 in the
LTD group).
We investigated next whether the plateau in the effect of
optogenetically evoked LTP following training day 3 is indeed
due to a
ceiling effect
in the aggression training paradigm. To
do this, we performed a modified RI test following completion of
the 5cdRI training routine. On day 6, control or LTP-induced
residents were tested in a novel arena against a larger CD1 male
intruder (Fig. 5
B
and
C
). Under these conditions, aggressive
resident mice are less likely to attack the intruder (42). We
reasoned that, if LTP mice reached
ceiling
levels of aggression
in the standard 5cdRI assay, using subordinate BALB/c in-
truders, they might nevertheless show higher aggression toward
the CD1 intruders.
Indeed, under these conditions, the 5cdRI/LTP-treated group
exhibited significantly higher aggression levels toward CD1 in-
truders than any other tested group while the control and LTD
groups expressed similarly low aggression levels (Fig. 5
L
N
).
This finding suggests that experimental induction of hypotha-
lamic LTP in VMHvl
Esr1
neurons can facilitate attack under
modified RI conditions where resident aggressiveness is other-
wise reduced, relative to conventional RI assays.
Together these experiments demonstrate a potential role for
LTP and LTD in aggression plasticity. We next investigated the
basis for individual differences in aggression training among
genetically identical mice, by asking whether we could identify
any experimental intervention that would allow aggression and/
or hypothalamic LTP to be expressed in NON mice.
Testosterone Enables the Expression of Aggression and Hypothalamic
LTP in NON Mice.
Levels of testosterone (T) correlate with ag-
gression and dominance in numerous species (43, 44) while the
administration of T in female mice, or following castration in
male mice, introduces aggression to the animal
s behavioral
repertoire (45, 46). As T levels are subject to environmental
influences (47), we sought to determine whether individual dif-
ferences in levels of the hormone were detectable among ge-
netically identical, inbred C57BL/6N mice and, if so, whether
they correlated with, and were responsible for, individual dif-
ferences in the capacity to undergo aggression training.
To investigate whether serum T levels differ between NON
and AGG mice, we collected blood samples at different time
points during the 5cdRI test (Fig. 6
A
D
). This experiment
revealed retrospectively that, prior to fighting, a small but sta-
tistically significant (
P
<
0.05) difference in serum T was de-
tectable between NON and AGG mice (Fig. 6
B
). This difference
was further accentuated following aggression training (Fig. 6
C
):
Serum T levels remained unaltered in NON mice while they
increased in AGG mice (Fig. 6
D
). Interestingly, the increase in
serum T in AGG mice occurred in the first 3 d and was not further
accentuated through additional aggression training (Fig. 6
D
).
Together, these data reveal a correlation between individual dif-
ferences in T and the ability to respond to aggression training in
NON vs. AGG mice, as well as between levels of aggressiveness
and T levels in AGG mice during training.
To test whether T levels are causally responsible for the dif-
ference in aggressiveness between NON and AGG mice, sub-
cutaneous (s.c.) osmotic minipumps containing T or vehicle were
implanted in NON mice identified by their failure to show ag-
gressiveness following 5cdRI training (Fig. 6
E
). The serum T
levels in NONs measured at 7 d post-T minipump implantation
were significantly higher than (but within the upper quartile of)
the maximum T levels measured in AGG mice (Fig. 6
D
and
F
)
(serum T in NONs following T administration through mini-
pump 39.22
±
2.73 ng/mL, serum T in AGGs following aggres-
sion training 16.61
±
1.01 ng/mL,
n
=
6 and 46 mice, respectively,
two-sided Mann
Whitney
U
test,
P
<
0.0001). Strikingly, the
administration of exogenous T induced aggression in all NON
mice tested (Fig. 6
G
J
). We investigated next whether T ad-
ministration influenced the induction and/or expression of LTP,
using ex vivo recordings in acute VMHvl slices from vehicle
vs. T-treated NON mice. Using the Hebbian induction pro-
tocol, stronger LTP could be elicited in VMHvl
Esr1
neurons
recorded in slices from T-treated than from control NON mice
(Fig. 6
K
O
). Thus, T implants facilitate LTP induction ex vivo in
NON mice.
An important remaining question was whether LTP was
expressed in VMHvl
Esr1
neurons in vivo, following aggression
training in T-treated NON mice. To address this question, we
used the design previously described in Fig. 4
H
and
N
, in which
AHiPM was transduced with Chronos, while VMHvl
Esr1
cells
were transduced with ChrimsonR. A novel BALB/c, small size
male intruder was introduced into the NON
s home cage
(Fig. 6
P
). In vehicle-treated mice, social interactions with intruder
mice, but no aggression, were observed, and LTP did not occur
in vivo, as measured by fEPSP recordings in response to opto-
genetic stimulation of Chronos-expressing AHiPM terminals
(Fig. 6
Q
T
). However, T administration through s.c. osmotic
minipumps led to the expression of both aggressive behavior and
in vivo behaviorally induced LTP, in NON mice (Fig. 6
Q
T
).
These findings suggest that individual differences in serum T
are responsible, at least in part, for individual differences in the
capacity for aggression training among inbred mice. Elevation of
serum T in NON mice confers susceptibility to aggression training, as
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Fig. 5.
Optogenetic induction of LTP or LTD at AHiPM
VMHvl
Esr1
synapses in vivo facilitates or abolishes, respectively, the effect of aggression training. (
A
,
Left
) Representative confocal image and schematic indicative of ChrimsonR expression in VMHvl
Esr1
neurons, eYFP terminals of the AHiPM
VMHvl projection,
and the optic fiber tract terminating above VMHvl. (
Right
) Representative confocal image and schematic indicative of Chronos-eYFP expression in AHiPM. (
B
)
Schematic of the experimental design used to identify whether LTP and LTD have an impact on aggression training. (
C
) Weight measurements of the mice
which were used in the protocol; specifically, the Esr1-Cre mice were used as residents, the BALB/c as intruders, and the CD1 as novel conspecifics in a novel/
neutral arena (
n
=
32 to 64 mice per group, one-way ANOVA with Tukey
s test,
P
<
0.0001 between Esr1-Cre and BALB/c mice,
P
<
0.0001 between Esr1-Cre
and CD1 mice). (
D
) Quantification of aggression levels expressed during a trial throughout the 5cdRI test in the YFP (control), LTP, and LTD groups. (
E
)
Quantification of aggression levels on the first day of the 5cdRI test (
n
=
8 mice per group, two-tailed unpaired
t
test,
P
=
0.1049 between YFP and LTP groups,
P
=
0.2304 between YFP and LTD groups). (
F
) Quantification of aggression levels on the third day of the 5cdRI test (
n
=
8 mice per group, two-tailed unpaired
t
test,
P
=
0.0162 [observed power
=
0.989, Cohen
sD
=
0.7979, difference between means
=
9.13
±
3.34%, 95% CI
=
1.966 to 16.29] between YFP [lower 95%
CI
=
6.452, higher 95% CI
=
16.06] and LTP [lower 95% CI
=
14.12, higher 95% CI
=
26.65] groups,
P
=
0.0017 between YFP and LTD groups). (
G
) Quantification
of aggression levels on the fifth day of the 5cdRI test (
n
=
8 mice per group, two-tailed unpaired
t
test,
P
=
0.0777 between YFP and LTP groups,
P
<
0.0001
between YFP and LTD groups). (
H
) Quantification of attack latency throughout the 5cdRI test in the YFP (control), LTP, and LTD groups. (
I
) Quantification of
attack latency on the first day of the 5cdRI test (
n
=
8 mice per group, two-tailed unpaired
t
test,
P
=
0.1406
between YFP and LTP groups,
P
=
0.3688 between
YFP and LTD groups). (
J
) Quantification of attack latency on the third day of the 5cdRI test (
n
=
8 mice per group, two-sided Mann
Whitney
U
test,
P
=
0.0415
[observed power
=
0.999, Cohen
sD
=
0.6072, difference between means
=
159.40
±
90.79 s, 95% CI
=
378.8 to 60.04] between YFP [lower 95% CI
=
21.05,
higher 95% CI
=
407.0] and LTP [lower 95% CI
=
16.54, higher 95% CI
=
50.56] groups,
P
=
0.0019 between YFP and LTD groups). (
K
) Quantification of attack
latency on the fifth day of the 5cdRI test (
n
=
8 mice per group, two-sided Mann
Whitney
U
test,
P
=
0.5054 between YFP and LTP groups, two-tailed unpaired
t
test,
P
=
0.0052 between YFP and LTD groups). (
L
) Representative behavior raster plots of YFP, LTP, and LTD mouse behavior in a novel arena toward a novel
CD1 conspecific. (
M
) Quantification of aggression levels on the sixth day against a CD1 male (
n
=
8 mice per group, two-tailed unpaired
t
test,
P
=
0.0387
[observed power
=
0.999, Cohen
sD
=
0.8980, difference between means
=
9.816
±
3.864%, 95% CI
=
0.6784 to 18.95] between YFP [lower 95% CI
=
0.8293,
higher 95% CI
=
5.768] and LTP [lower 95% CI
=
5.190, higher 95% CI
=
21.04] groups, two-sided Mann
Whitney
U
test,
P
=
0.0295
[observed power
=
0.907,
Cohen
sD
=
0.7357, difference between means
=
2.161
±
1.069%, 95% CI
=
4.616 to 0.2938] between YFP [lower 95% CI
=
0.1860, higher 95% CI
=
5.052]
and LTD groups [lower 95% CI
=
0.2284, higher 95% CI
=
1.144]). (
N
) Quantification of attack latency on the sixth day against a CD1 male (
n
=
8 mice per
group, two-tailed unpaired
t
test,
P
=
0.0328 [observed power
=
0.985, Cohen
sD
=
1.0431, difference between means
=
227.00
±
82.23 s, 95% CI
=
25.81 to
428.2] between YFP [lower 95% CI
=
67.01, higher 95% CI
=
477.9] and LTP groups [lower 95% CI
=
4.196, higher 95% CI
=
86.63], two-sided Mann
Whitney
U
test,
P
>
0.9999 between YFP and LTD groups). (
O
) Quantification of close investigation on the sixth day against a CD1 male (
n
=
8 mice per group, two-tailed
unpaired
t
test,
P
=
0.6973 between YFP and LTP groups,
P
=
0.6158 between YFP and LTD groups). ns, not significant; *
P
<
0.05, **
P
<
0.01, ****
P
<
0.0001. In
box plots, the median is represented by the center line, the interquartile range is represented by the box edges, the bottom whisker extends to the minimal
value, and the top whisker extends to the maximal value.
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Fig. 6.
Testosterone administration leads to the expression of hypothalamic LTP and aggression in previously nonaggressive males. (
A
) Schematic of the
experimental design used to identify aggressive (AGG) and nonaggressive (NON) males, from which tails blood samples were collected for quantification of
serum testosterone levels. (
B
) Serum testosterone levels in NON vs. AGG mice prior to any aggression experience (
n
=
24 to 36 samples per group, two-sided
Mann
Whitney
U
test,
P
=
0.0203 between NON and AGG groups). Mice were assigned as NON or AGG, according to whether they expressed aggression on
the first day of the 5cdRI test. (
C
) Serum testosterone levels in NON vs. AGG mice after completion of the 5cdRI test (
n
=
14 to 46 samples per group, two-tailed
unpaired
t
test,
P
<
0.0001 between NON and AGG groups). Mice that did not express any aggression/attack behavior throughout the 5cdRI test were assigned
to the NON group. All other mice were included in the AGG group. (
D
,
Left
) Quantification of serum testosterone levels in NON mice throughout the 5cdRI
test (
n
=
14 to 24 samples per group, Kruskal
Wallis one-way ANOVA with Dunn
s post hoc test,
P
>
0.9999 between
prior to 5cdRI
and
following day 3,
P
>
0.9999 between
prior to 5cdRI
and
following day 5,
and
P
>
0.9999 between
following day 3
and
following day 5
groups). (
Right
) Quantification
of serum testosterone levels in AGG mice throughout the 5cdRI test (
n
=
36 to 46 samples per group, one-way ANOVA with Tukey
s test,
P
<
0.0001 between
prior to 5cdRI
and
following day 3,
P
<
0.0001 between
prior to 5cdRI
and
follow
ing day 5,
and
P
=
0.7060 between
following day 3
and
following day 5
groups). (
E
) Schematic of the experimental design used to identify NON mice and perform s.c. testosterone minipump implantation. (
F
)
Serum testosterone levels in control vs. testosterone-treated mice (
n
=
6 mice per group, two-tailed unpaired
t
test,
P
<
0.0001 between vehicle and tes-
tosterone). (
G
) Representative behavior raster plots of vehicle vs. testosterone-treated mice. (
H
) Quantification of the number of mice that switched
aggression phenotype following vehicle vs. testosterone administration (
n
=
0/6 in the vehicle-treated group vs.
n
=
6/6 in the testosterone-treated group,
two-sided Mann
Whitney
U
test,
P
=
0.0022 between vehicle and testosterone). (
I
) Quantification of attack duration (
n
=
6 mice per group, two-sided
Mann
Whitney
U
test,
P
=
0.0022 between vehicle and testosterone). (
J
) Quantification of attack frequency (number (#) of attacks per trial;
n
=
6 mice per
group, two-sided Mann
Whitney
U
test,
P
=
0.0022 between vehicle and testosterone). (
K
) Schematic of the experimental design used to study the induction
and modulation of LTP by testosterone in the AHiPM
VMHvl synapse in brain slices from NON mice. Note that slices were taken from animals that received
T injections, but no behavioral training or other social experience. (
L
) Schematic of the LTP induction protocol, utilizing simultaneous photostimulation of the
AHiPM terminals in VMHvl through the opsin Chronos and depolarization of the VMHvl
Esr1
neuron through voltage clamp at
30 mV. (
M
) Heat map il-
lustrating the magnitude of LTP induction in VMHvl
Esr1
neurons from vehicle- vs. testosterone-treated mice. (
N
) Average current immediately prior to and
following the induction of LTP in vehicle vs. testosterone conditions (light color envelope is the SE). (
O
) Quantification of the oEPSC, prior to and following the
induction of LTP in vehicle vs. testosterone conditions (prepairing [lower 95% CI
=
0.9508, higher 95% CI
=
1.084] vs. postpairing [lower 95% CI
=
1.274, higher
95% CI
=
1.786] in vehicle conditions,
n
=
5 cells from three mice, two-tailed paired
t
test,
P
=
0.0038 [observed power
=
0.992, Cohen
sD
=
2.704, difference
between means
=
0.5124
±
0.0847, 95% CI
=
0.2771 to 0.7478], prepairing [lower 95% CI
=
0.9349, higher 95% CI
=
1.120] vs. postpairing [lower 95% CI
=
1.456,
higher 95% CI
=
3.334] in testosterone conditions,
n
=
4 cells from three mice, two-tailed paired
t
test,
P
=
0.0209 [observed power
=
0.889, Cohen
sD
=
2.232,
difference between means
=
1.368
±
0.3063, 95% CI
=
0.3926 to 2.342], postpairing in vehicle [lower 95% CI
=
1.274, higher 95% CI
=
1.786] vs. testoster-
one [lower 95% CI
=
1.456, higher 95% CI
=
3.334] conditions,
n
=
4
5 cells from six mice, two-tailed unpaired
t
test,
P
=
0.0174 [observed power
=
0.932, Cohen
s
D
=
0.6388, difference between means
=
0.8652
±
0.2974, 95% CI
=
0.2044 to 1.526]). (
P
) Schematic of the experimental design used to trigger and record
behaviorally induced LTP in vivo in NONs. (
Q
)
fEPSP amplitude over time, prior to and following social behavior in the resident
intruder assay, in vehicle- vs.
testosterone-treated NON mice (average fEPSP from
n
=
3micepergroup).(
R
) Average fEPSP amplitude immediately prior to and following the expression of
social behavior in the resident
intruder assay, in vehicle- vs. testosterone-treated NON mice. (S) Quantification of fEPSP amplitude, prior to and following
the induction of LTP in vehicle vs. testosterone conditions (prepairing [lower 95% CI
=
1.027, higher 95% CI
=
1.123] vs. postpairing [lower 95% CI
=
0.7907,
higher 95% CI
=
1.143] in vehicle conditions,
n
=
3 mice, two-tailed paired
t
test,
P
=
0.1020 [observed power
=
0.999, Cohen
sD
=
1.6667, difference between
means
=
0.1081
±
0.0374, 95% CI
=
0.2692 to 0.05303], prepairing [lower 95% CI
=
0.7055, higher 95% CI
=
1.209] vs. postpairing [lower 95% CI
=
1.027, higher
95% CI
=
2.012] in testosterone conditions,
n
=
3 mice, two-tailed paired
t
test,
P
=
0.0098 [observed power
=
0.786, Cohen
sD
=
5.7787, difference between
means
=
0.5625
±
0.0562, 95% CI
=
0.3207 to 0.8043]). (
T
) Representative behavior raster plot of the same mouse treated with vehicle and 8 d after with tes-
tosterone and used for in vivo electrophysiology experiments. ns, not significant; *
P
<
0.05, **
P
<
0.01, ****
P
<
0.0001. In box plots, the median is represented by
the center line, the interquartile range is represented by the box edges, the bottom whisker extends to the minimal value, and the top whisker extends t
othe
maximal value. In bar graphs, data are expressed as mean
±
SEM.
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well as the capacity to express strong LTP at AHiPM
VMHvl
Esr1
synapses (both ex vivo and in vivo) following aggression training. This
observation further strengthens t
he correlation between the ability to
respond positively to aggr
ession training, and the expression of LTP.
However, it does not distinguish whether the enhanced LTP in NON
mice is directly caused by T treatment, or rather is an indirect
effect of the increased aggression promoted by the hormone
implants. A schematic summary of the findings is presented in
SI Appendix
,Fig.S5
.
Discussion
Synaptic plasticity mechanisms have been investigated predom-
inantly in hippocampal circuits that mediate spatial learning (48)
or in thalamo-amygdalar circuits that mediate Pavlovian asso-
ciative conditioning (49). Both systems emphasize the role of
LTP in allowing flexible neural circuits to mediate adaptive re-
sponses on fast timescales, as expected for the recently evolved
brain regions in which they operate. By contrast, studies of the
hypothalamus have emphasized circuits that mediate innate,
evolutionarily ancient survival behaviors, with the expectation
that they would be comprised predominantly of relatively stable,
hard-wired connections (50
52). The present results demon-
strate that LTP and LTD can occur at a hypothalamic synapse
important for aggression (27, 28) and that LTP is part of the
causal mechanisms through which repeated successful aggressive
encounters increase aggressiveness. Moreover, they suggest that
individual variation in T levels, taken together with an effect of T
to promote LTP at AHiPM
VMHvl
Esr1
synapses, may account
for differences among genetically identical mice in the ability to
respond to aggression training.
The form of hypothalamic LTP described here has subtle but
interesting differences from that described in the hippocampus
(see extended discussion in
SI Appendix
). Further investigation
of synaptic plasticity mechanisms within neural pathways that
control evolutionarily selected, robust survival behaviors may
yield new insights into both the physiological and hormonal
regulation of such mechanisms, as well as the forms of behavioral
plasticity that they ultimately subserve.
Materials and Methods
All experimental procedures involving the use of live animals or their tissues
were carried out in accordance with the NIH guidelines and approved by the
Institutional Animal Care and Use Committee and the Institutional Biosafety
Committee at the California Institute of Technology (Caltech).
Esr1
Cre/
+
knock-
in mice (22) backcrossed into the C57BL/6N background (
>
N10) were bred at
Caltech. The
Esr1
Cre/
+
knock-in mouse line is available from The Jackson
Laboratory (stock no. 017911). Heterozygous
Esr1
Cre/
+
mice were used for all
experiments and were genotyped by PCR analysis of tail DNA. Mice used as
residents (see 5cdRI assay) were individually housed. All wild-type mice used
as intruders in resident
intruder assays and for behavioral experiments were
of the BALB/cAnNCrl or Crl:CD1 (ICR) strain (Charles River Laboratories).
Health status was normal for all animals. Antibodies, compounds, and the
experimental procedures with the coordinates of all injection sites are de-
scribed in
SI Appendix
.
Data Availability.
All data discussed in the paper are available in the main text
and
SI Appendix
. We used standard MATLAB functions and publicly avail-
able software indicated in the manuscript for analysis.
ACKNOWLEDGMENTS.
We thank Dr. B. Weissbourd and Dr. L. Li for advice
on experiments, Dr. Y. Ouadah and Dr. P. Williams for advice during writing
of the manuscript, X. Da and J. S. Chang for technical assistance, X. Da and
C. Chiu for laboratory management, and G. Mancuso for administrative
support. Members of the D.J.A. laboratory are thanked for discussion during
the preparation of this manuscript. Confocal imaging was performed in the
Biological Imaging Facility, with the support of the Caltech Beckman
Institute and the Arnold and Mabel Beckman Foundation. This study was
supported by NIH Grant R01 MH070053 (to D.J.A.) and the European Molecular
Biology Organization Advanced Long-Term Fellowship 736-2018 (to S.S.). D.J.A.
is an investigator of the HHMI.
1. D. S. Manoli, G. W. Meissner, B. S. Baker, Blueprints for behavior: Genetic specification
of neural circuitry for innate behaviors.
Trends Neurosci.
29
, 444
451 (2006).
2. K. K. Ishii, K. Touhara, Neural circuits regulating sexual behaviors via the olfactory
system in mice.
Neurosci. Res.
140
,59
76 (2019).
3. E. B. Anderson, I. Grossrubatscher, L. Frank, Dynamic hippocampal circuits support
learning- and memory-guided behaviors.
Cold Spring Harb. Symp. Quant. Biol.
79
,
51
58 (2014).
4. E. Yavas, S. Gonzalez, M. S. Fanselow, Interactions between the hippocampus, pre-
frontal cortex, and amygdala support complex learning and memory.
F1000 Res.
8
,
1
6 (2019).
5. S. M. Sternson, Hypothalamic survival circuits: Blueprints for purposive behaviors.
Neuron
77
, 810
824 (2013).
6. J. M. Moscarello, S. Maren, Flexibility in the face of fear: Hippocampal-prefrontal
regulation of fear and avoidance.
Curr. Opin. Behav. Sci.
19
,44
49 (2018).
7. K. Miyamichi
et al
., Cortical representations of olfactory input by trans-synaptic
tracing.
Nature
472
, 191
196 (2011).
8. D. L. Sosulski, M. L. Bloom, T. Cutforth, R. Axel, S. R. Datta, Distinct representations of
olfactory information in different cortical centres.
Nature
472
, 213
216 (2011).
9. C. M. Root, C. A. Denny, R. Hen, R. Axel, The participation of cortical amygdala in
innate, odour-driven behaviour.
Nature
515
, 269
273 (2014).
10. H. Amin, A. C. Lin, Neuronal mechanisms underlying innate and learned olfactory
processing in Drosophila.
Curr. Opin. Insect Sci.
36
,9
17 (2019).
11. J. B. Rosen, The neurobiology of conditioned and unconditioned fear: A neuro-
behavioral system analysis of the amygdala.
Behav. Cogn. Neurosci. Rev.
3
,23
41
(2004).
12. C. T. Gross, N. S. Canteras, The many paths to fear.
Nat. Rev. Neurosci.
13
, 651
658
(2012).
13. F. Gore
et al
., Neural representations of unconditioned stimuli in basolateral amyg-
dala mediate innate and learned responses.
Cell
162
, 134
145 (2015).
14. P. Namburi
et al
., A circuit mechanism for differentiating positive and negative as-
sociations.
Nature
520
,
675
678 (2015).
15. N. Tinbergen,
The Study of Instinct
, (Clarendon Press, Oxford, England, 1951), p. 228.
16. K. Lorenz,
On Aggression
, (Harcourt, Brace & World, Inc., New York, 1963).
17. K. M. J. Lagerspetz, S. Garattini, E. B. Sigg, Aggression and aggressiveness in labo-
ratory mice.
Aggress. Behav.
,77
85 (1969).
18. J. P. Scott, E. Fredericson, The causes of fighting in mice and rats.
Physiol. Zool.
24
,
273
309 (1951).
19. S. Stagkourakis
et al
., A neural network for intermale aggression to establish social
hierarchy.
Nat. Neurosci.
21
, 834
842 (2018).
20. S. A. Golden
et al
., Basal forebrain projections to the lateral habenula modulate
aggression reward.
Nature
534
, 688
692 (2016).
21. D. Lin
et al
., Functional identification of an aggression locus in the mouse hypo-
thalamus.
Nature
470
, 221
226 (2011).
22. H. Lee
et al
., Scalable control of mounting and attack by Esr1+ neurons in the ven-
tromedial hypothalamus.
Nature
509
, 627
632 (2014).
23. C. F. Yang
et al
., Sexually dimorphic neurons in the ventromedial hypothala-
mus govern mating in both sexes and aggression in males.
Cell
153
,896
909
(2013).
24. T. Yang
et al
., Social control of hypothalamus-mediated male aggression.
Neuron
95
,
955
970.e4 (2017).
25. H. Alle, P. Jonas, J. R. Geiger, PTP and LTP at a hippocampal mossy fiber-interneuron
synapse.
Proc. Natl. Acad. Sci. U.S.A.
98
, 14708
14713 (2001).
26. L. Lo
et al
., Connectional architecture of a mouse hypothalamic circuit node con-
trolling social behavior.
Proc. Natl. Acad. Sci. U.S.A.
116
, 7503
7512 (2019).
27. X. Zha
et al
., VMHvl-projecting Vglut1+ neurons in the posterior amygdala gate
territorial aggression.
Cell Rep.
31
, 107517 (2020).
28.
T. Yamaguchi
et al
., Posterior amygdala regulates sexual and aggressive behaviors in
male mice.
Nat. Neurosci.
23
, 1111
1124 (2020).
29. C. I. Myme, K. Sugino, G. G. Turrigiano, S. B. Nelson, The NMDA-to-AMPA ratio at
synapses onto layer 2/3 pyramidal neurons is conserved across prefrontal and visual
cortices.
J. Neurophysiol.
90
, 771
779 (2003).
30. J. A. Kauer, R. C. Malenka, Synaptic plasticity and addiction.
Nat. Rev. Neurosci.
8
,
844
858 (2007).
31.M.A.Ungless,J.L.Whistler,R.C.Mal
enka, A. Bonci, Single cocaine exposure
in vivo induces long-term potentiation in dopamine neurons.
Nature
411
,583
587
(2001).
32. V. Jeevakumar, S. Kroener, Ketamine administration during the second postnatal
week alters synaptic properties of fast-spiking interneurons in the medial prefrontal
cortex of adult mice.
Cereb. Cortex
26
, 1117
1129 (2016).
33. E. Harde
et al
., EphrinB2 regulates VEGFR2 during dendritogenesis and hippocampal
circuitry development.
eLife
8
, e49819 (2019).
34. L. Scipioni, L. Lanzanó, A. Diaspro, E. Gratton, Comprehensive correlation analysis for
super-resolution dynamic fingerprinting of cellular compartments using the Zeiss
Airyscan detector.
Nat. Commun.
9
, 5120 (2018).
35. R. C. Malenka, R. A. Nicoll, Learning and memory. Never fear, LTP is hear.
Nature
390
,
552
553 (1997).
36. Y. Rao
et al
., Repeated in vivo exposure of cocaine induces long-lasting synaptic
plasticity in hypocretin/orexin-producing neurons in the lateral hypothalamus in mice.
J. Physiol.
591
, 1951
1966 (2013).
25798
|
www.pnas.org/cgi/doi/10.1073/pnas.2011782117
Stagkourakis et al.
Downloaded at California Institute of Technology on October 13, 2020
37. D. Jaffe, D. Johnston, Induction of long-term potentiation at hippocampal mossy-
fiber synapses follows a Hebbian rule.
J. Neurophysiol.
64
, 948
960 (1990).
38. N. C. Klapoetke
et al
., Independent optical excitation of distinct neural populations.
Nat. Methods
11
, 338
346 (2014).
39. X. I. Salinas-Hernández
et al
., Dopamine neurons drive fear extinction learning
by signaling the omission of expected aversive outcomes.
eLife
7
, e38818
(2018).
40. S. Frey, J. Bergado-Rosado, T. Seidenbecher, H. C. Pape, J. U. Frey, Reinforcement of
early long-term potentiation (early-LTP) in dentate gyrus by stimulation of the ba-
solateral amygdala: Heterosynaptic induction mechanisms of late-LTP.
J. Neurosci.
21
,
3697
3703 (2001).
41. S. Nabavi
et al
., Engineering a memory with LTD and LTP.
Nature
511
, 348
352 (2014).
42. D. Natarajan, H. de Vries, D. J. Saaltink, S. F. de Boer, J. M. Koolhaas, Delineation of
violence from functional aggression in mice: An ethological approach.
Behav. Genet.
39
,73
90 (2009).
43. S. F. Anestis, Testosterone in juvenile and adolescent male chimpanzees (Pan trog-
lodytes): Effects of dominance rank, aggression, and behavioral style.
Am. J. Phys.
Anthropol.
130
, 536
545 (2006).
44. T. O. Oyegbile, C. A. Marler, Winning fights elevates testosterone levels in California
mice and enhances future ability to win fights.
Horm. Behav.
48
, 259
267 (2005).
45. M. S. Barkley, B. D. Goldman, Testosterone-induced aggression in adult female mice.
Horm. Behav.
9
,76
84 (1977).
46. M. S. Barkley, B. D. Goldman, The effects of castration and Silastic implants of
testosterone on intermale aggression in the mouse.
Horm. Behav.
9
,32
48
(1977).
47. J. Archer, Testosterone and human aggression: An evaluation of the challenge hy-
pothesis.
Neurosci. Biobehav. Rev.
30
, 319
345 (2006).
48. H. Eichenbaum, Spatial learning. The LTP-memory connection.
Nature
378
, 131
132
(1995).
49. H. C. Bergstrom, The neurocircuitry of remote cued fear memory.
Neurosci. Biobehav.
Rev.
71
, 409
417 (2016).
50. J. Kohl
et al
., Functional circuit architecture underlying parental behaviour.
Nature
556
,
326
331 (2018).
51. J. R. Moffitt
et al
., Molecular, spatial, and functional single-cell profiling of the hy-
pothalamic preoptic region.
Science
362
, eaau5324 (2018).
52. K. K. Ishii
et al
., A labeled-line neural circuit for pheromone-mediated sexual be-
haviors in mice.
Neuron
95
, 123
137.e8 (2017).
Stagkourakis et al.
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|
October 13, 2020
|
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|
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NEUROSCIENCE
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