@article {69985, title = {Cross-species comparative connectomics reveals the evolution of an olfactory circuit}, journal = {bioRxiv}, year = {2025}, month = {2025 Jun 11}, abstract = {

Animal behavioural diversity ultimately stems from variation in neural circuitry, yet how central neural circuits evolve remains poorly understood. Studies of neural circuit evolution often focus on a few elements within a network. However, addressing fundamental questions in evolutionary neuroscience, such as whether some elements are more evolvable than others, requires a more global and unbiased approach. Here, we used synapse-level comparative connectomics to examine how an entire olfactory circuit evolves. We compared the full antennal lobe connectome of the larvae of two closely related Drosophila species, D. melanogaster and D. erecta, which differ in their ecological niches and odour-driven behaviours. We found that evolutionary change is unevenly distributed across the network. Some features, including neuron types, neuron numbers and interneuron-to-interneuron connectivity, are highly conserved. These conserved elements delineate a core circuit blueprint presumably required for fundamental olfactory processing. Superimposed on this scaffold, we find rewiring changes that mirror each species ecologies, including a systematic shift in the excitation-to-inhibition balance in the feedforward pathways. We further show that some neurons have changed more than others, and that even within individual neurons some synaptic elements remain conserved while others display major species-specific changes, suggesting evolutionary hot-spots within the circuit. Our findings reveal constrained and adaptable elements within olfactory networks, and establish a framework for identifying general principles in the evolution of neural circuits underlying behaviour.

}, doi = {10.1101/2025.06.11.659158}, url = {https://www.biorxiv.org/content/early/2025/06/11/2025.06.11.659158}, author = {Roberts, Ruairi and Giez, Christoph and Dhawan, Serene and Pang, Song and Randel, Nadine and Zhiyuan, Lu and Gong, Hui and Dekens, Leonard and DiFrisco, James and Xu, C Shan and Hess, Harald and Zlatic, Marta and Cardona, Albert and Prieto-Godino, Lucia L.} } @article {70047, title = {Distributed control circuits across a brain-and-cord connectome}, journal = {bioRxiv}, year = {2025}, month = {2025 Aug 02}, abstract = {

Just as genomes revolutionized molecular genetics, connectomes (maps of neurons and synapses) are transforming neuroscience. To date, the only species with complete connectomes are worms\ and sea squirts\ (103-104 synapses). By contrast, the fruit fly is more complex (108 synaptic connections), with a brain that supports learning and spatial memory and an intricate ventral nerve cord analogous to the vertebrate spinal cord. Here we report the first adult fly connectome that unites the brain and ventral nerve cord, and we leverage this resource to investigate principles of neural control. We show that effector cells (motor neurons, endocrine cells and efferent neurons targeting the viscera) are primarily influenced by local sensory cells in the same body part, forming local feedback loops. These local loops are linked by long-range circuits involving ascending and descending neurons organized into behavior-centric modules. Single ascending and descending neurons are often positioned to influence the voluntary movements of multiple body parts, together with endocrine cells or visceral organs that support those movements. Brain regions involved in learning and navigation supervise these circuits. These results reveal an architecture that is distributed, parallelized and embodied (tightly connected to effectors), reminiscent of distributed control architectures in engineered systems.

}, doi = {10.1101/2025.07.31.667571}, url = {https://www.biorxiv.org/content/early/2025/08/02/2025.07.31.667571}, author = {Bates, Alexander Shakeel and Phelps, Jasper S. and Kim, Minsu and Yang, Helen H. and Matsliah, Arie and Ajabi, Zaki and Perlman, Eric and Delgado, Kevin M. and Osman, Mohammed Abdal Monium and Salmon, Christopher K. and Gager, Jay and Silverman, Benjamin and Renauld, Sophia and Collie, Matthew F. and Fan, Jingxuan and Pacheco, Diego A. and Zhao, Yunzhi and Patel, Janki and Zhang, Wenyi and Serratosa Capdevilla, Laia and Roberts, Ruair{\'\i} J.V. and Munnelly, Eva J. and Griggs, Nina and Langley, Helen and Moya-Llamas, Borja and Maloney, Ryan T. and Yu, Szi-Chieh and Sterling, Amy R. and Sorek, Marissa and Kruk, Krzysztof and Serafetinidis, Nikitas and Dhawan, Serene and St{\"u}rner, Tomke and Klemm, Finja and Brooks, Paul and Lesser, Ellen and Jones, Jessica M. and Pierce-Lundgren, Sara E. and Lee, Su-Yee and Luo, Yichen and Cook, Andrew P. and McKim, Theresa H. and Kophs, Emily C. and Falt, Tjalda and Negr{\'o}n Morales, Alexa M. and Burke, Austin and Hebditch, James and Willie, Kyle P. and Willie, Ryan and Popovych, Sergiy and Kemnitz, Nico and Ih, Dodam and Lee, Kisuk and Lu, Ran and Halageri, Akhilesh and Bae, J. Alexander and Jourdan, Ben and Schwartzman, Gregory and Demarest, Damian D. and Behnke, Emily and Bland, Doug and Kristiansen, Anne and Skelton, Jaime and Stocks, Tom and Garner, Dustin and Salman, Farzaan and Daly, Kevin C. and Hernandez, Anthony and Kumar, Sandeep and The BANC-FlyWire Consortium and Dorkenwald, Sven and Collman, Forrest and Suver, Marie P. and Fenk, Lisa M. and Pankratz, Michael J. and Jefferis, Gregory S.X.E. and Eichler, Katharina and Seeds, Andrew M. and Hampel, Stefanie and Agrawal, Sweta and Zandawala, Meet and Macrina, Thomas and Adjavon, Diane-Yayra and Funke, Jan and Tuthill, John C. and Azevedo, Anthony and Seung, H. Sebastian and de Bivort, Benjamin L. and Murthy, Mala and Drugowitsch, Jan and Wilson, Rachel I. and Lee, Wei-Chung Allen} } @article {70137, title = {A multi-muscular, redundant strategy for free-flight roll stability}, journal = {bioRxiv}, year = {2025}, month = {2025 Oct 01}, abstract = {

Whether recovering after a gust of wind, or rapidly saccading away from an oncoming predator, fruit flies show remarkable aerial dexterity about their body roll axis. Here, we investigated the detailed wing kinematic changes during free-flight roll motion and probed the neuromuscular basis for such changes. Consistent with previous work, we observed that flies manipulated the stroke amplitude difference between their wings to control their roll angle. Here, we show that flies are capable of achieving such changes by altering the stroke amplitude of either or both of their wings. Further we found that during corrections flies can also take advantage of an aerodynamically significant change in the angle of attack of their uppermost wing. Curiously, these corrective wing changes cannot be eliminated when motor neurons hypothesized to be used during roll maneuvers (i1, i2, b1, b2, and b3) are individually inhibited. However, free-flight optogenetic manipulations and quasi-steady aerodynamic calculations show that each of these motor neurons individually can effect kinematic changes consistent with a roll correction. Combining this evidence with an analysis of haltere inputs found in the BANC connectome, we propose that the observed robustness could be the result of two sets of muscular redundancies that receive shared inputs from haltere sensory afferents: one set, containing b1 and b2, is able to increase the stroke amplitude of the lower wing; while the other set, containing i1, i2, and b3, is able to decrease the stroke amplitude and wing pitch angle of the upper wing. Because of the redundancy in the input sensory information and output wing motion in the muscles in each cluster, the fly is able to perform roll stability maneuvers even when one of the constituent motor neurons is inhibited. This framework proposes new ways fast aerial maneuverability can be implemented when dealing with the fly{\textquoteright}s most unstable rotational degree of freedom.

}, doi = {10.1101/2025.09.29.679272}, url = {https://www.biorxiv.org/content/early/2025/10/01/2025.09.29.679272.1}, author = {Ludlow, B. Kemper and Dhawan, Serene and Whitehead, Samuel C and Teoh, Han Kheng and Ehrhardt, Erica and Cowan, Noah and Dickerson, Bradley H and Cohen, Itai} } @article {65645, title = {Complete connectomic reconstruction of olfactory projection neurons in the fly brain.}, journal = {Current Biology}, volume = {30}, year = {2020}, month = {2020 Aug 17}, pages = {3183-99}, abstract = {

Nervous systems contain sensory neurons, local neurons, projection neurons, and motor neurons. To understand how these building blocks form whole circuits, we must distil these broad classes into neuronal cell types and describe their network connectivity. Using an electron micrograph dataset for an entire Drosophila melanogaster brain, we reconstruct the first complete inventory of olfactory projections connecting the antennal lobe, the insect analog of the mammalian olfactory bulb, to higher-order brain regions in an adult animal brain. We then connect this inventory to extant data in the literature, providing synaptic-resolution "holotypes" both for heavily investigated and previously unknown cell types. Projection neurons are approximately twice as numerous as reported by light level studies; cell types are stereotyped, but not identical, in cell and synapse numbers between brain hemispheres. The lateral horn, the insect analog of the mammalian cortical amygdala, is the main target for this olfactory information and has been shown to guide innate behavior. Here, we find new connectivity motifs, including axo-axonic connectivity between projection neurons, feedback, and lateral inhibition of these axons by a large population of neurons, and the convergence of different inputs, including non-olfactory inputs and memory-related feedback onto third-order olfactory neurons. These features are less prominent in the mushroom body calyx, the insect analog of the mammalian piriform cortex and a center for associative memory. Our work provides a complete neuroanatomical platform for future studies of the adult Drosophila olfactory system.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2020.06.042}, author = {Bates, Alexander S and Schlegel, Philipp and Roberts, Ruair{\'\i} J V and Drummond, Nikolas and Tamimi, Imaan F M and Turnbull, Robert and Zhao, Xincheng and Marin, Elizabeth C and Popovici, Patricia D and Dhawan, Serene and Jamasb, Arian and Javier, Alexandre and Serratosa Capdevila, Laia and Li, Feng and Rubin, Gerald M and Waddell, Scott and Bock, Davi D and Costa, Marta and Jefferis, Gregory S X E} } @article {64933, title = {Neurogenetic dissection of the lateral horn reveals major outputs, diverse behavioural functions, and interactions with the mushroom body.}, journal = {Elife}, volume = {8}, year = {2019}, month = {2019 May 21}, abstract = {

Animals exhibit innate behaviours to a variety of sensory stimuli including olfactory cues. In , one higher olfactory centre, the lateral horn (LH), is implicated in innate behaviour. However, our structural and functional understanding of the LH is scant, in large part due to a lack of sparse neurogenetic tools for this region. We generate a collection of split-GAL4 driver lines providing genetic access to 82 LH cell types. We use these to create an anatomical and neurotransmitter map of the LH and link this to EM connectomics data. We find ~30\% of LH projections converge with outputs from the mushroom body, site of olfactory learning and memory. Using optogenetic activation, we identify LH cell types that drive changes in valence behavior or specific locomotor programs. In summary, we have generated a resource for manipulating and mapping LH neurons, providing new insights into the circuit basis of innate and learned olfactory behavior.

}, issn = {2050-084X}, doi = {10.7554/eLife.43079}, author = {Dolan, Michael-John and Frechter, Shahar and Bates, Alexander Shakeel and Dan, Chuntao and Huoviala, Paavo and Roberts, Ruair{\'\i} Jv and Schlegel, Philipp and Dhawan, Serene and Tabano, Remy and Dionne, Heather and Christoforou, Christina and Close, Kari and Sutcliffe, Ben and Giuliani, Bianca and Li, Feng and Costa, Marta and Ihrke, Gudrun and Meissner, Geoffrey Wilson and Bock, Davi D and Aso, Yoshinori and Rubin, Gerald M and Jefferis, Gregory Sxe} }