Drosophila connectome

Last updated

A Drosophila connectome is a list of neurons in the Drosophila melanogaster (fruit fly) nervous system, and the chemical synapses between them. The fly's nervous system consists of the brain plus the ventral nerve cord, and both are known to differ considerably between male and female. [1] [2] Dense connectomes have been completed for the female adult brain, [3] the male [4] and female [5] nerve cords, and the female larval stage. [6] The available connectomes show only chemical synapses - other forms of inter-neuron communication such as gap junctions or neuromodulators are not represented. Drosophila is the most complex creature with a connectome, which had only been previously obtained for three other simpler organisms, first C. elegans . [7] The connectomes have been obtained by the methods of neural circuit reconstruction, which over the course of many years worked up through various subsets of the fly brain to current efforts aimed at a unified central brain and VNC connectome, for both male and female flies. [8] [9]

Contents

Why Drosophila

Connectome research (connectomics) has a number of competing objectives. On the one hand, investigators prefer an organism small enough that the connectome can be obtained in a reasonable amount of time. This argues for a small creature. On the other hand, one of the main uses of a connectome is to relate structure and behavior, so an animal with a large behavioral repertoire is desirable. It's also very helpful to use an animal with a large existing community of experimentalists, and many available genetic tools. Drosophila meets all of these requirements:

Structure of the fly connectome

Synapses in the Drosophila are polyadic, [16] meaning they have multiple post-synaptic elements (commonly call PSDs, for post-synaptic densities) opposed to one pre-synaptic element (commonly called a T-bar, due to its most common appearance). Synapse counts can be reported either way - as number of structures, or number of partners.

The one fully-reconstructed adult female fruit fly brain contains about 128,000 neurons and roughly 50 million chemical synapses, and the single reconstructed male nerve cord has about 23,000 neurons and 70 million synapses. These numbers are not independent, since both the brain and the nerve cord contain portions of the several thousand ascending and descending neurons that run through the neck of the fly. The one female larval brain reconstructed contains roughly 3,000 neurons and 548 thousand chemical synapses. All of these numbers are known to vary between individuals. [17]

Adult brain

Drosophila connectomics started in 1991 with a description of the circuits of the lamina. [18] However the methods used were largely manual and further progress awaited more automated techniques.

In 2011, a high-level connectome, at the level of brain compartments and interconnecting tracts of neurons, for the full fly brain was published, [19] and is available online. [20] New techniques such as digital image processing began to be applied to detailed neural reconstruction. [21]

Reconstructions of larger regions soon followed, including a column of the medulla, [22] also in the visual system of the fruit fly, and the alpha lobe of the mushroom body. [23]

In 2017 a paper introduced an electron microscopy image stack of the whole adult female brain at synaptic resolution. The volume was available for sparse tracing of selected circuits. [24] [25]

In 2020, a dense connectome of half the central brain of Drosophila was released, [26] along with a web site that allows queries and exploration of this data. [27] The methods used in reconstruction and initial analysis of the 'hemibrain' connectome followed. [28]

In 2023, using the data from 2017 (above), the full brain connectome (for a female) was made available, containing roughly 5x10^7 chemical synapses between ~130,000 neurons. [3] A projectome, a map of projections between regions, can be derived from the connectome. In parallel, a consensus cell type atlas for the Drosophila brain was published, produced based on this 'FlyWire' connectome and the prior 'hemibrain'. [29] This resource includes 4,552 cell types: 3,094 as rigorous validations of those previously proposed in the hemibrain connectome; 1,458 new cell types, arising mostly from the fact that the FlyWire connectome spans the whole brain, whereas the hemibrain derives from a subvolume. Comparison of these distinct, adult Drosophila connectomes showed that cell type counts and strong connections were largely stable, but connection weights were surprisingly variable within and across animals.

Adult ventral nerve cord

In 2022, a group of scientists mapped the motor control circuits of the ventral nerve cord of a female fruit fly using electron microscopy. [30] In 2023, a dense reconstruction of the male fly ventral nerve chord was released. [31]

Larval brain

In 2023, Michael Winding et al. published a complete larval brain connectome. [32] [6] This connectome was mapped by annotating the previously collected electron microscopy volume. [33] They found that the larval brain was composed of 3,016 neurons and 548,000 synapses. 93% of brain neurons had a homolog in the opposite hemisphere. Of the synapses, 66.6% were axo-dendritic, 25.8% were axo-axonic, 5.8% were dendro-dendritic, and 1.8% were dendro-axonic.

To study the connectome, they treated it as a directed graph with the neurons forming nodes and the synapses forming the edges. Using this representation, Winding et al found that the larval brain neurons could be clustered into 93 different types, based on connectivity alone. These types aligned with the known neural groups including sensory neurons (visual, olfactory, gustatory, thermal, etc), descending neurons, and ascending neurons.

The authors ordered these neuron types based on proximity to brain inputs vs brain outputs. Using this ordering, they could quantify the proportion of recurrent connections, as the set of connections going from neurons closer to outputs towards inputs. They found that 41% of all brain neurons formed a recurrent connection. The neuron types with the most recurrent connections were the dopaminergic neurons (57%), mushroom body feedback neurons (51%), mushroom body output neurons (45%), and convergence neurons (42%) (receiving input from mushroom body and lateral horn regions). These neurons, implicated in learning, memory, and action-selection, form a set of recurrent loops.

Structure and behavior

One of the main uses of the Drosophila connectome is to understand the neural circuits and other brain structure that gives rise to behavior. This area is under very active investigation. [34] [35] For example, the fruit fly connectome has been used to identify an area of the fruit fly brain that is involved in odor detection and tracking. Flies choose a direction in turbulent conditions by combining information about the direction of air flow and the movement of odor packets. Based on the fly connectome, processing must occur in the “fan-shaped body” where wind-sensing neurons and olfactory direction-sensing neurons cross. [36] [37]

A natural question is whether the connectome will allow simulation of the fly's behavior. However, the connectome alone is not sufficient. A comprehensive simulation would need to include gap junction varieties and locations, identities of neurotransmitters, receptor types and locations, neuromodulators and hormones (with sources and receptors), the role of glial cells, time evolution rules for synapses, and more. [38] [39] However some pathways have been simulated using only the connectome plus neurotransmitter predictions. [40]

See also

References

  1. Cachero, Sebastian; Ostrovsky, Aaron D.; Jai, Y. Yu; Dickson, Barry J.; Jefferis, Gregory SXE (2010). "Sexual dimorphism in the fly brain" (PDF). Current Biology. 20 (18): 1589–1601. doi:10.1016/j.cub.2010.07.045. PMC   2957842 . PMID   20832311. S2CID   14207042.
  2. Kelley, Darcy B.; Bayer, Emily A. (March 22, 2021). "Sexual dimorphism: Neural circuit switches in the Drosophila brain". Current Biology. 31 (6): R297 –R298. doi: 10.1016/j.cub.2021.02.026 . PMID   33756143. S2CID   232314832.
  3. 1 2 Dorkenwald, Sven; Matsliah, Arie; Sterling, Amy R.; Schlegel, Philipp; Yu, Szi-chieh; McKellar, Claire E.; Lin, Albert; Costa, Marta; Eichler, Katharina; Yin, Yijie; Silversmith, Will; Schneider-Mizell, Casey; Jordan, Chris S.; Brittain, Derrick; Halageri, Akhilesh; Kuehner, Kai; Ogedengbe, Oluwaseun; Morey, Ryan; Gager, Jay; Kruk, Krzysztof; Perlman, Eric; Yang, Runzhe; Deutsch, David; Bland, Doug; Sorek, Marissa; Lu, Ran; Macrina, Thomas; Lee, Kisuk; Bae, J. Alexander; Mu, Shang; Nehoran, Barak; Mitchell, Eric; Popovych, Sergiy; Wu, Jingpeng; Jia, Zhen; Castro, Manuel A.; Kemnitz, Nico; Ih, Dodam; Bates, Alexander Shakeel; Eckstein, Nils; Funke, Jan; Collman, Forrest; Bock, Davi D.; Jefferis, Gregory S. X. E.; Seung, H. Sebastian; Murthy, Mala; Consortium, The FlyWire (2024). "Neuronal wiring diagram of an adult brain" (PDF). Nature. 634 (8032). Nature Publishing Group UK London: 124--138.
  4. "Analysis tools for Connectomics". Janelia Research Campus, HHMI., as described in non-peer-reviewed preprint Takemura SY, Hayworth KJ, Huang GB, Januszewski M, Lu Z, Marin EC, et al. (June 2023). "A Connectome of the Male Drosophila Ventral Nerve Cord". bioRxiv   10.1101/2023.06.05.543757 .
  5. Azevedo, Anthony; Lesser, Ellen; Phelps, Jasper S.; Mark, Brandon; Elabbady, Leila; Kuroda, Sumiya; Sustar, Anne; Moussa, Anthony; Khandelwal, Avinash; Dallmann, Chris J.; Agrawal, Sweta; Lee, Su-Yee J.; Pratt, Brandon; Cook, Andrew; Skutt-Kakaria, Kyobi; Gerhard, Stephan; Lu, Ran; Kemnitz, Nico; Lee, Kisuk; Halageri, Akhilesh; Castro, Manuel; Ih, Dodam; Gager, Jay; Tammam, Marwan; Dorkenwald, Sven; Collman, Forrest; Schneider-Mizell, Casey; Brittain, Derrick; Jordan, Chris S.; Dickinson, Michael; Pacureanu, Alexandra; Seung, H. Sebastian; Macrina, Thomas; Lee, Wei-Chung Allen; Tuthill, John C. (2024). "Connectomic reconstruction of a female Drosophila ventral nerve cord},". Nature. 631 (8020). {Nature Publishing Group UK London: 360--368.
  6. 1 2 Winding M, Pedigo BD, Barnes CL, Patsolic HG, Park Y, Kazimiers T, et al. (March 2023). "The connectome of an insect brain". Science. 379 (6636): eadd9330. doi:10.1126/science.add9330. PMC   7614541 . PMID   36893230.
  7. White JG, Southgate E, Thomson JN, Brenner S (November 1986). "The structure of the nervous system of the nematode Caenorhabditis elegans". Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 314 (1165): 1–340. Bibcode:1986RSPTB.314....1W. doi:10.1098/rstb.1986.0056. PMID   22462104.
  8. "BANC Guide for Citizen Scientists".
  9. "Seeing is believing: Janelia reveals connectome of the fruit fly visual system".
  10. Alivisatos AP, Chun M, Church GM, Greenspan RJ, Roukes ML, Yuste R (June 2012). "The brain activity map project and the challenge of functional connectomics". Neuron. 74 (6): 970–974. doi:10.1016/j.neuron.2012.06.006. PMC   3597383 . PMID   22726828.
  11. DeWeerdt S (July 2019). "How to map the brain". Nature. 571 (7766): S6 –S8. Bibcode:2019Natur.571S...6D. doi: 10.1038/d41586-019-02208-0 . PMID   31341309.
  12. McKellar, Claire E; Wyttenbach, Robert A (2017). "A protocol demonstrating 60 different Drosophila behaviors in one assay" (PDF). Journal of Undergraduate Neuroscience Education. 15 (2): A110.
  13. "Bloomington Drosophila Stock Center at Indiana University".
  14. "Patch-Clamping Fly Brain Neurons" (PDF).
  15. Vajente, Nicola; Norante, Rosa; Pizzo, Paola; Pendin, Diana (2020). "Calcium imaging in Drosophila melanogaster". Calcium Signaling. Springer. pp. 881--900.
  16. Meinertzhagen, Ian A (2016). "Morphology of invertebrate neurons and synapses". Handbook of Invertebrate Neurobiology. Oxford University Press Oxford. pp. 1--80.
  17. Rihani, Karen; Silke, Sachse (2022). "Shedding light on inter-individual variability of olfactory circuits in Drosophila". Frontiers in Behavioral Neuroscience. 16 (16): 835680. doi: 10.3389/fnbeh.2022.835680 . PMC   9084309 . PMID   35548690.
  18. Meinertzhagen IA, O'Neil SD (March 1991). "Synaptic organization of columnar elements in the lamina of the wild type in Drosophila melanogaster". The Journal of Comparative Neurology. 305 (2): 232–263. doi:10.1002/cne.903050206. PMID   1902848. S2CID   35301798.
  19. Chiang AS, Lin CY, Chuang CC, Chang HM, Hsieh CH, Yeh CW, et al. (January 2011). "Three-dimensional reconstruction of brain-wide wiring networks in Drosophila at single-cell resolution". Current Biology. 21 (1): 1–11. doi: 10.1016/j.cub.2010.11.056 . PMID   21129968. S2CID   17155338.
  20. "FlyCircuit - A Database of Drosophila Brain Neurons". National Center for High-Performance Computing (NCHC). Retrieved 30 Aug 2013.
  21. Rivera-Alba M, Vitaladevuni SN, Mishchenko Y, Lu Z, Takemura SY, Scheffer L, et al. (December 2011). "Wiring economy and volume exclusion determine neuronal placement in the Drosophila brain". Current Biology. 21 (23): 2000–2005. doi:10.1016/j.cub.2011.10.022. PMC   3244492 . PMID   22119527.
  22. Takemura SY, Bharioke A, Lu Z, Nern A, Vitaladevuni S, Rivlin PK, et al. (August 2013). "A visual motion detection circuit suggested by Drosophila connectomics". Nature. 500 (7461): 175–181. Bibcode:2013Natur.500..175T. doi:10.1038/nature12450. PMC   3799980 . PMID   23925240.
  23. Takemura SY, Aso Y, Hige T, Wong A, Lu Z, Xu CS, et al. (July 2017). "A connectome of a learning and memory center in the adult Drosophila brain". eLife. 6: e26975. doi: 10.7554/eLife.26975 . PMC   5550281 . PMID   28718765.
  24. Yeager A (31 May 2017). "Entire Fruit Fly Brain Imaged with Electron Microscopy". The Scientist Magazine. Retrieved 2018-07-15.
  25. Zheng Z, Lauritzen JS, Perlman E, Robinson CG, Nichols M, Milkie D, et al. (July 2018). "A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster". Cell. 174 (3): 730–743.e22. doi:10.1016/j.cell.2018.06.019. PMC   6063995 . PMID   30033368.
  26. Xu CS, Januszewski M, Lu Z, Takemura SY, Hayworth KJ, Huang G, et al. (2020). "A connectome of the adult Drosophila central brain". bioRxiv   10.1101/2020.01.21.911859 .
  27. "Analysis tools for connectomics". Howard Hughes Medical Institute (HHMI).
  28. Scheffer LK, Xu CS, Januszewski M, Lu Z, Takemura SY, Hayworth KJ, et al. (September 2020). "A connectome and analysis of the adult Drosophila central brain". eLife. 9. doi: 10.7554/eLife.57443 . PMC   7546738 . PMID   32880371.
  29. Schlegel, Philipp; Yin, Yijie; Bates, Alexander S.; Dorkenwald, Sven; Eichler, Katharina; Brooks, Paul; Han, Daniel S.; Gkantia, Marina; Santos, Marcia dos; Munnelly, Eva J.; Badalamente, Griffin; Capdevila, Laia Serratosa; Sane, Varun A.; Pleijzier, Markus W.; Tamimi, Imaan F.M.; Dunne, Christopher R.; Salgarella, Irene; Javier, Alexandre; Fang, Siqi; Perlman, Eric; Kazimiers, Tom; Jagannathan, Sridhar R.; Matsliah, Arie; Sterling, Amy R.; Yu, Szi-chieh; McKellar, Claire E.; Consortium, FlyWire; Costa, Marta; Seung, H. Sebastian; Murthy, Mala; Hartenstein, Volker; Bock, Davi D.; Jefferis, Gregory S.X.E. (2023). "Whole-brain annotation and multi-connectome cell typing quantifies circuit stereotypy in Drosophila". pp. 2023–06. bioRxiv   10.1101/2023.06.27.546055 .
  30. Phelps JS, Hildebrand DG, Graham BJ, Kuan AT, Thomas LA, Nguyen TM, et al. (February 2021). "Reconstruction of motor control circuits in adult Drosophila using automated transmission electron microscopy". Cell. 184 (3): 759–774.e18. doi:10.1016/j.cell.2020.12.013. PMC   8312698 . PMID   33400916.
  31. Takemura, Shin-ya; et al. (5 Jun 2023). "A Connectome of the Male Drosophila Ventral Nerve Cord". bioRxiv   10.1101/2023.06.05.543757v1 .
  32. Leffer L (9 March 2023). "First Complete Map of a Fly Brain Has Uncanny Similarities to AI Neural Networks". Gizmodo. Retrieved 10 March 2023.
  33. Ohyama T, Schneider-Mizell CM, Fetter RD, Aleman JV, Franconville R, Rivera-Alba M, et al. (April 2015). "A multilevel multimodal circuit enhances action selection in Drosophila". Nature. 520 (7549): 633–639. Bibcode:2015Natur.520..633O. doi:10.1038/nature14297. PMID   25896325. S2CID   4464547.
  34. "Kavli Workshop on Neural Circuits and Behavior of Drosophila". Howard Hughes Medical Institute. 2019.
  35. "Crete Workshop on Neural Circuits and Behaviour of Drosophila". Queensland Brain Institute. 2023.
  36. Mackenzie D (6 March 2023). "How animals follow their nose". Knowable Magazine. Annual Reviews. doi: 10.1146/knowable-030623-4 . Retrieved 13 March 2023.
  37. Matheson AM, Lanz AJ, Medina AM, Licata AM, Currier TA, Syed MH, Nagel KI (August 2022). "A neural circuit for wind-guided olfactory navigation". Nature Communications. 13 (1): 4613. Bibcode:2022NatCo..13.4613M. doi:10.1038/s41467-022-32247-7. PMC   9360402 . PMID   35941114.
  38. "Columbia Workshop on Brain Circuits, Memory and Computation". Center for Neural Engineering and Computation. New York, NY: Columbia University. March 2019.
  39. Scheffer LK, Meinertzhagen IA (November 2021). "A connectome is not enough - what is still needed to understand the brain of Drosophila?". The Journal of Experimental Biology. 224 (21): jeb242740. doi: 10.1242/jeb.242740 . PMID   34695211. S2CID   239887246.
  40. Shiu, Philip K; Sterne, Gabriella R; Spiller, Nico; Franconville, Romain; Sandoval, Andrea; Zhou, Joie; Simha, Neha; Kang, Chan Hyuk; Yu, Seongbong; Kim, Jinseop S (2024). "A Drosophila computational brain model reveals sensorimotor processing" (PDF). Nature. 634 (8032). Nature Publishing Group UK London: 210--219.

Further reading