Many vertebrates rely on their accessory and main olfactory systems (AOS and MOS, respectively) to interact with their environment. Shaped by evolution to drive the perception of volatile and nonvolatile molecules (for review, see Suárez et al., 2012), these sensory systems allow animals to react and learn about the distinct sets of chemical stimuli they encounter. The AOS detects molecules with evolutionarily stable and predictable meaning, such as the molecules emitted by predators and conspecifics—collectively known as semiochemicals. The AOS promotes innate behavioral responses when these cues are detected (Wilson and Stevenson, 2006). Conversely, the MOS detects chemical cues that have no innate meaning and helps to assign meaning to them through associative learning processes (Wilson and Stevenson, 2006).
Besides these functional differences, the AOS and MOS differ in how molecules reach the sensory epithelium, how the sensory information is processed, and where the processed information is sent (Suárez et al., 2012). Chemical cues reach the AOS at a specialized sensory epithelium located in the vomeronasal organ (VNO), a close-ended tubular structure connected to the nostrils and positioned at the base of the medial septum. The VNO is sequestered from airflow; thus, the chemical cues must solubilize with nasal fluids before entering the VNO via an active pumping mechanism (Meredith and O'Connell, 1979). Sensory neurons located in the VNO epithelium transduce the chemical cues and project to the accessory olfactory bulb (AOB), the first processing station of the AOS. The time course of activation of AOS neurons under naturalistic conditions is characterized by a slow increase in firing frequency (in the range of seconds) and a sustained response, without adaptation (Luo et al., 2003). In contrast, odorant molecules reach the MOS at the olfactory mucosa via airflow produced by an animal's sniffing behavior. Olfactory receptor neurons located in the main olfactory epithelium (MOE) transduce the odorants and transmit their signal to the main olfactory bulb (MOB), evoking a fast response on the millisecond timescale (Shusterman et al., 2011).
A major target of AOB output neurons is the medial amygdala (Suárez et al., 2012). Within the medial amygdala, neurons in the posteroventral division (MePV) respond to semiochemicals from predators (Bergan et al., 2014; Pérez-Gómez et al., 2015). MePV neurons project to the ventromedial hypothalamus (Keshavarzi et al., 2014), and predator odors activate neurons in both regions (Pérez-Gómez et al., 2015). Ventromedial hypothalamic neuronal activity is both necessary (Kunwar et al., 2015) and sufficient (Kunwar et al., 2015; Pérez-Gómez et al., 2015) to drive defensive behaviors. Thus, the MePV processes chemical cues detected by the AOS and transmits the processed signal to the hypothalamic nuclei to initiate the output associated with innate behavioral responses.
Unlike AOB output neurons, MOB output neurons do not directly project to the medial amygdala; instead, they project to a variety of higher-order processing centers in the olfactory cortices (for review, see Bekkers and Suzuki, 2013). One of their targets is the cortical amygdala (CoA), which in turn sends projections to the medial amygdala (McDonald, 1998, their Table 3). These latter projections provide a means by which information from the MOS can influence AOS processing in the medial amygdala. In fact, although traditionally viewed as functionally independent systems, recent evidence suggests that the MOS contributes to the ability of the AOS to generate innate responses to biologically relevant molecules (Martínez-García et al., 2009). How these systems interact at the cellular level was unknown until recently, however.
In a recent study published in The Journal of Neuroscience, Keshavarzi et al. (2015) provided novel evidence that AOS and MOS inputs converge on individual medial amygdala neurons. The authors used acute coronal brain slices from GAD67-GFP transgenic mice, which allowed detection of non-GABAergic (non-GFP expressing) projection neurons in the MePV, as well as selective and reliable electrical stimulation of CoA and AOB inputs (via direct electrical stimulation of deep CoA layers lateral to the MePV and the superficial molecular layer of MePV, respectively). Using standard electrophysiological techniques, Keshavarzi et al. (2015) demonstrated that individual MePV neurons receive excitatory input from both AOS and MOS, thereby serving as convergent hubs for both pathways. Importantly, the authors showed that the excitatory input from both systems was mediated by AMPA and NMDA receptors (AMPAR and NMDAR, respectively; Keshavarzi et al., 2015, their Fig. 2A). In addition, the authors used a battery of techniques, including current-source density analysis of evoked synaptic potentials, selective blockade of distal synapses, and calcium imaging paired with whole-cell recordings, to reveal that the inputs from the two olfactory systems are spatially segregated on amygdalar neurons. Specifically, they demonstrate that AOB inputs produced synaptic depolarization at distal dendritic sites of MePV neurons, whereas CoA inputs produced synaptic depolarization at proximal dendritic sites (Keshavarzi et al., 2015, their Figs. 3–5).
To investigate possible functional differences between the synaptic inputs, the authors activated presynaptic fibers of each pathway with a 50 Hz stimulus train and recorded evoked responses under whole-cell current-clamp. MePV neurons responded to stimulation of AOB input with increasing depolarization up to threshold, at which point they fired a train of action potentials. In contrast, the neurons responded to identical stimulation of CoA input with subthreshold voltage responses (Keshavarzi et al., 2015, their Fig. 6A). The differential functional impact of AOB and CoA inputs emerges as a remarkable characteristic of the MeA neuronal circuits, displaying synaptic and electrical properties that strongly favor the distal AOB inputs.
Neurons use different mechanisms to compensate for dendritic filtering of distal synaptic inputs (for review, see Magee, 2000). For example, in hippocampal and cortical pyramidal neurons, active conductances enhance dendritic propagation of distant inputs (Migliore and Shepherd, 2002). Additionally, in these same neurons, synaptic current amplitude increases proportionally with distance from the soma such that the somatic impact of proximal and distal inputs is equivalent (Magee, 2000). One mechanism for this increase in current amplitude at distal synapses is an increase in AMPAR number (Smith et al., 2003) and another is an increase in the ratio of the amplitudes of NMDAR- to AMPAR-mediated currents (Otmakhova et al., 2002). Since NMDARs have slower kinetics than AMPARs, a relative increase in NMDAR-mediated current produces individual EPSPs with slower time courses that are more easily integrated over time, thereby producing a greater somatic depolarization (Magee, 2000).
Interestingly, Keshavarzi et al. (2015) found that nearly 50% of the AOB-driven somatic depolarization of MePV neurons depended on NMDARs, whereas CoA-driven somatic depolarization showed no dependence on NMDARs despite the fact that synapses associated with CoA input showed NMDAR-mediated currents (Keshavarzi et al., 2015, their Figs. 2A, 6B–D). In fact, this finding is consistent with the increase in the amplitude of NMDAR-mediated currents at distal synapses that occurs in hippocampal neurons as a mechanism to increase their somatic impact (Magee, 2000).
It seems plausible that the anatomical and functional segregation of inputs onto MePV neurons operates as a cellular mechanism for associative learning between the AOS and MOS. According to the available data, it can be speculated that under simultaneous activation of both pathways, AOB inputs will depolarize MePV neurons to threshold, promoting correlated firing between the MePV neurons and CoA input. This correlated activity between the MePV neurons and CoA input would promote NMDAR-dependent long-term synaptic potentiation, or LTP (i.e., an increase in synaptic strength after coactivation of presynaptic and postsynaptic neurons; Barrionuevo and Brown, 1983). Thus, the stronger AOB inputs would act as the “teaching” signal for the weaker CoA inputs in a manner similar to the well studied LTP in the hippocampus and basolateral amygdala (Bliss and Collingridge, 1993; LeDoux, 2000). Following LTP induction, the MOS signal transmitted by CoA inputs would be sufficient to activate MePV neurons and their downstream targets (for a schematic of this process, see Fig. 1). Whether LTP occurs between AOS and MOS inputs in individual MePV neurons under physiological conditions requires further investigation. Simple experiments to test this hypothesis can be conducted using the same preparation as Keshavarzi et al. (2015) and well described LTP protocols (Barrionuevo and Brown, 1983).
Such LTP between CoA and AOB inputs might underlie the associative learning that occurs when animals encounter specific patterns of odorant molecules that correlate with the presence of a predator or conspecific (Martínez-García et al., 2009). Importantly, the associative learning likely provides adaptive value to the animals by broadening the set of stimuli that activate the neural pathways for the innate behavioral responses to the predator or conspecific (Martínez-García et al., 2009). Before the recent report by Keshavarzi and colleagues (2015), the cellular mechanisms that underlie associative learning between the olfactory systems were unknown. Their results clearly demonstrate that individual MePV neurons receive input from both the AOS and MOS and suggest that the stronger AOS input could act to promote LTP at the synapses of the weaker MOS inputs. Their findings suggest that a more complete understanding of the cellular mechanisms that underlie learned, adaptive behaviors can be attained in the near future.
Footnotes
Editor's Note: These short, critical reviews of recent papers in the Journal, written exclusively by graduate students or postdoctoral fellows, are intended to summarize the important findings of the paper and provide additional insight and commentary. For more information on the format and purpose of the Journal Club, please see http://www.jneurosci.org/misc/ifa_features.shtml.
We thank Ashley Bourke, Christian Cea-Del Rio, Jaclyn Essig, Molly Huntsman, Diego Restrepo, Jorge Mpodozis, Magdalena Sanhueza, and Rodrigo Suarez for critical review of the manuscript, and Maritza Oñate for assistance in figure construction.
The authors declare no competing financial interests.
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