Among the cues that a mosquito uses to find a host for blood-feeding, the smell of the host plays an important role. Previous studies have shown that host odors contain hundreds of chemical odorants, which are detected by different receptors on the peripheral sensory organs of mosquitoes. But how individual odorants are encoded by downstream neurons in the mosquito brain is not known. We developed an in vivo preparation for patch-clamp electrophysiology to record from projection neurons and local neurons in the antennal lobe of Aedes aegypti. Combining intracellular recordings with dye-fills, morphological reconstructions, and immunohistochemistry, we identify different sub-classes of antennal lobe neurons and their putative interactions. Our recordings show that an odorant can activate multiple neurons innervating different glomeruli, and that the stimulus identity and its behavioral preference are represented in the population activity of the projection neurons. Our results provide the first detailed description of olfactory neurons in the central nervous system of mosquitoes and lay a foundation for understanding the neural basis of their olfactory behaviors.

Among the cues that a mosquito uses to find a host for blood-feeding, the smell of the host plays an important role. Previous studies have shown that host odors contain hundreds of chemical odorants, which are detected by different receptors on the peripheral sensory organs of mosquitoes. But how individual odorants are encoded by downstream neurons in the mosquito brain is not known. We developed an in vivo preparation for patch-clamp electrophysiology to record from projection neurons and local neurons in the antennal lobe of Aedes aegypti. Combining intracellular recordings with dye-fills, morphological reconstructions, and immunohistochemistry, we identify different sub-classes of antennal lobe neurons and their putative interactions. Our recordings show that an odorant can activate multiple neurons innervating different glomeruli, and that the stimulus identity and its behavioral preference are represented in the population activity of the projection neurons. Our results provide a detailed description of the second-order olfactory neurons in the central nervous system of mosquitoes and lay a foundation for understanding the neural basis of their olfactory behaviors.

In the past years, machine-learning-based approaches to track animal poses with high spatial and temporal resolution have become available, but toolkits to extract, integrate, and analyze coordinate datasets in a user-friendly manner have lagged behind. Here, we introduce Fear-Mouse Tracker (FMT), a simple and open-source MATLAB-based pipeline to extract and quantitatively analyze DeepLabCut-derived coordinates of mice presented with threatening stimuli that commonly trigger innate defensive responses. This framework allows for unbiased quantitative estimations of stretch-attend posture (SAP) observed during risk assessment behaviors, as well as for measurements of the timing and extent of freezing and escape responses that follow the presentation of threatening stimuli such as a predator odor, or sweeping and looming stimuli resembling predator approaches. FMT is specially designed for users not very experienced in using programming languages, thus making it more accessible to a broader audience.