@article{RotherKraftSmithetal.2021, author = {Rother, Lisa and Kraft, Nadine and Smith, Dylan B. and El Jundi, Basil and Gill, Richard J. and Pfeiffer, Keram}, title = {A micro-CT-based standard brain atlas of the bumblebee}, series = {Cell and Tissue Research}, volume = {386}, journal = {Cell and Tissue Research}, number = {1}, issn = {1432-0878}, doi = {10.1007/s00441-021-03482-z}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-267783}, pages = {29-45}, year = {2021}, abstract = {In recent years, bumblebees have become a prominent insect model organism for a variety of biological disciplines, particularly to investigate learning behaviors as well as visual performance. Understanding these behaviors and their underlying neurobiological principles requires a clear understanding of brain anatomy. Furthermore, to be able to compare neuronal branching patterns across individuals, a common framework is required, which has led to the development of 3D standard brain atlases in most of the neurobiological insect model species. Yet, no bumblebee 3D standard brain atlas has been generated. Here we present a brain atlas for the buff-tailed bumblebee Bombus terrestris using micro-computed tomography (micro-CT) scans as a source for the raw data sets, rather than traditional confocal microscopy, to produce the first ever micro-CT-based insect brain atlas. We illustrate the advantages of the micro-CT technique, namely, identical native resolution in the three cardinal planes and 3D structure being better preserved. Our Bombus terrestris brain atlas consists of 30 neuropils reconstructed from ten individual worker bees, with micro-CT allowing us to segment neuropils completely intact, including the lamina, which is a tissue structure often damaged when dissecting for immunolabeling. Our brain atlas can serve as a platform to facilitate future neuroscience studies in bumblebees and illustrates the advantages of micro-CT for specific applications in insect neuroanatomy.}, language = {en} } @article{WalterDegenPfeifferetal.2021, author = {Walter, Thomas and Degen, Jacqueline and Pfeiffer, Keram and St{\"o}ckl, Anna and Montenegro, Sergio and Degen, Tobias}, title = {A new innovative real-time tracking method for flying insects applicable under natural conditions}, series = {BMC Zoology}, volume = {6}, journal = {BMC Zoology}, doi = {10.1186/s40850-021-00097-3}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-265716}, year = {2021}, abstract = {Background Sixty percent of all species are insects, yet despite global efforts to monitor animal movement patterns, insects are continuously underrepresented. This striking difference between species richness and the number of species monitored is not due to a lack of interest but rather to the lack of technical solutions. Often the accuracy and speed of established tracking methods is not high enough to record behavior and react to it experimentally in real-time, which applies in particular to small flying animals. Results Our new method of real-time tracking relates to frequencies of solar radiation which are almost completely absorbed by traveling through the atmosphere. For tracking, photoluminescent tags with a peak emission (1400 nm), which lays in such a region of strong absorption through the atmosphere, were attached to the animals. The photoluminescent properties of passivated lead sulphide quantum dots were responsible for the emission of light by the tags and provide a superb signal-to noise ratio. We developed prototype markers with a weight of 12.5 mg and a diameter of 5 mm. Furthermore, we developed a short wave infrared detection system which can record and determine the position of an animal in a heterogeneous environment with a delay smaller than 10 ms. With this method we were able to track tagged bumblebees as well as hawk moths in a flight arena that was placed outside on a natural meadow. Conclusion Our new method eliminates the necessity of a constant or predictable environment for many experimental setups. Furthermore, we postulate that the developed matrix-detector mounted to a multicopter will enable tracking of small flying insects, over medium range distances (>1000m) in the near future because: a) the matrix-detector equipped with an 70 mm interchangeable lens weighs less than 380 g, b) it evaluates the position of an animal in real-time and c) it can directly control and communicate with electronic devices.}, language = {en} } @article{HensgenEnglandHombergetal.2021, author = {Hensgen, Ronja and England, Laura and Homberg, Uwe and Pfeiffer, Keram}, title = {Neuroarchitecture of the central complex in the brain of the honeybee: Neuronal cell types}, series = {Journal of Comparative Neurology}, volume = {529}, journal = {Journal of Comparative Neurology}, doi = {10.1002/cne.24941}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-215566}, pages = {159-186}, year = {2021}, abstract = {The central complex (CX) in the insect brain is a higher order integration center that controls a number of behaviors, most prominently goal directed locomotion. The CX comprises the protocerebral bridge (PB), the upper division of the central body (CBU), the lower division of the central body (CBL), and the paired noduli (NO). Although spatial orientation has been extensively studied in honeybees at the behavioral level, most electrophysiological and anatomical analyses have been carried out in other insect species, leaving the morphology and physiology of neurons that constitute the CX in the honeybee mostly enigmatic. The goal of this study was to morphologically identify neuronal cell types of the CX in the honeybee Apis mellifera. By performing iontophoretic dye injections into the CX, we traced 16 subtypes of neuron that connect a subdivision of the CX with other regions in the bee's central brain, and eight subtypes that mainly interconnect different subdivisions of the CX. They establish extensive connections between the CX and the lateral complex, the superior protocerebrum and the posterior protocerebrum. Characterized neuron classes and subtypes are morphologically similar to those described in other insects, suggesting considerable conservation in the neural network relevant for orientation.}, language = {en} }