Dopamine neurons are characterized by their response to unexpected rewards, but they also fire during movement and aversive stimuli. Dopamine neuron diversity has been observed based on molecular expression profiles; however, whether different functions map onto such genetic subtypes remains unclear. In this study, we established that three genetic dopamine subtypes within the substantia nigra pars compacta, characterized by the expression of Slc17a6 (Vglut2), Calb1 and Anxa1, each have a unique set of responses to rewards, aversive stimuli and accelerations and decelerations, and these signaling patterns are highly correlated between somas and axons within subtypes. Remarkably, reward responses were almost entirely absent in the Anxa1+ subtype, which instead displayed acceleration-correlated signaling. Our findings establish a connection between functional and genetic dopamine subtypes and demonstrate that molecular expression patterns can serve as a common framework to dissect dopaminergic functions.

Dopamine neurons are characterized by their response to unexpected rewards, but they also fire during movement and aversive stimuli. Dopamine neuron diversity has been observed based on molecular expression profiles; however, whether different functions map onto such genetic subtypes remains unclear. Here, we establish that three genetic dopamine subtypes within the substantia nigra pars compacta each have a unique set of responses to rewards, aversive stimuli, accelerations and decelerations, and these signaling patterns are highly-correlated between somas and axons within subtypes. Remarkably, reward responses were not detected in one subtype, which instead displayed acceleration-correlated signaling. Our findings establish a connection between functional and genetic dopamine subtypes and demonstrate that molecular expression patterns can serve as a common framework to dissect dopaminergic functions.

Striatal dopamine released from the axons of midbrain dopamine neurons has been linked to a wide range of functions, including movement control and reward-based learning. Recent studies have reported functional signaling differences between axons and somas of dopamine neurons, suggesting that local modulation controls dopamine release and calling into question the classical view of somatic control. However, these experiments are technically challenging, making it difficult to ensure that axonal and somatic recordings come from the same neurons, particularly given the heterogeneity of dopaminergic cell types. Here we used genetic strategies to isolate key dopaminergic neuron subtypes and monitor their axonal and somatic signaling patterns in behaving mice. Contrary to the inferences drawn from previous studies, these experiments revealed a robust correlation between somatic and axonal signaling. Thus, by exploiting a previously unknown connection between genetic and functional diversity in dopamine neurons, we establish that subtypes must be considered to understand the mechanisms of dopamine release in striatum during behavior.