{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T18:11:38Z","timestamp":1788977498766,"version":"build-2803163510"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1014657","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T00:00:00Z","timestamp":1788912000000}}],"reference-count":77,"publisher":"Public Library of Science (PLoS)","issue":"8","license":[{"start":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T00:00:00Z","timestamp":1788134400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004189","name":"Max-Planck-Gesellschaft","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004189","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004189","name":"Max-Planck-Gesellschaft","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004189","id-type":"DOI","asserted-by":"publisher"}]},{"name":"HHMI Janelia Research Campus"}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>\n                    T4 and T5 neurons are the first direction-selective neurons in the visual pathway. They are the most numerous cell types in the fly brain (\n                    <jats:inline-formula id=\"pcbi.1014657.e001\">\n                      <jats:alternatives>\n                        <jats:graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" id=\"pcbi.1014657.e001g\" mimetype=\"image\" position=\"anchor\" xlink:href=\"info:doi\/10.1371\/journal.pcbi.1014657.e001\" xlink:type=\"simple\"\/>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" id=\"M1\">\n                          <mml:mrow>\n                            <mml:mi>~<\/mml:mi>\n                            <mml:mn>6000<\/mml:mn>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    within each optic lobe) and, as a population, their compact\u00a0dendritic\u00a0arbours\u00a0span the entire visual field. They are classified into four subtypes (a, b, c, and d). Each subtype encodes one of four orthogonal motion directions (up, down, forwards, backwards). Crucially, the dendrites of these neurons are oriented inversely to the functional direction of motion which they encode. This dendritic orientation is what ultimately determines their functional directional encoding. The development of these neurons is well characterised up to the point of neuropil innervation. However, the full population of these neurons innervate their target neuropil prior to the emergence of directionality within their dendrites. As it stands, development prior to the emergence of dendritic orientations, and the adult oriented dendrite are both well understood, but the key components relating to the emergence of orientation itself are missing. Recent whole-brain electron microscopy (EM) connectomes of\n                    <jats:italic>Drosophila melanogaster<\/jats:italic>\n                    provide an unprecedented level of resolution and completeness when considering the morphology of neurons. Utilising this, we isolate the dendritic\u00a0arbour\u00a0of every T4 and T5 neuron within a female adult\n                    <jats:italic>Drosophila<\/jats:italic>\n                    brain, made available through FAFB-FlyWire. In doing so we are able to rigorously quantify the morphology of these dendrites in order to understand their similarities and differences. In doing so we aim to shed light on the origins of dendritic directionality. We reason that either this emerges through a tightly controlled, subtype specific mechanism, or is the result of a subtype agnostic mechanism and external factors. In the former case, we would expect evidence of this in differences between the morphological structure of individual dendrites between T4 and T5, and their\u00a0subtypes. Our analysis however reveals a high degree of structural similarity between T4 and T5, and within their subtypes. Particularly, the geometry of branching, section orientation, and tree-graph structure of these dendrites show only minor variability, with no consistent separation between T4 and T5, or their subtypes. These results indicate that, despite forming in different neuropils, and serving distinct motion directions, T4 and T5 dendrites follow closely aligned morphological patterns. This suggests a shared mechanism of directed outgrowth, as opposed to symmetry breaking emerging through neuron type or subtype specific mechanisms.\n                  <\/jats:p>","DOI":"10.1371\/journal.pcbi.1014657","type":"journal-article","created":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T17:40:29Z","timestamp":1788198029000},"page":"e1014657","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Population morphology implies a common developmental blueprint for Drosophila motion detectors"],"prefix":"10.1371","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3630-057X","authenticated-orcid":true,"given":"Nikolas","family":"Drummond","sequence":"first","affiliation":[{"name":"Max Planck Institute for Biological Intelligence","place":["Munich, Germany"],"department":["Department of Circuits - Computation - Models"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arthur","family":"Zhao","sequence":"additional","affiliation":[{"name":"Reiser Lab, HHMI Janelia Research Campus","place":["Ashburn, Virginia, United States of America"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Borst","sequence":"additional","affiliation":[{"name":"Max Planck Institute for Biological Intelligence","place":["Munich, Germany"],"department":["Department of Circuits - Computation - Models"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,8,31]]},"reference":[{"issue":"1","key":"pcbi.1014657.ref001","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1146\/annurev-neuro-080422-111929","article-title":"How flies see motion","volume":"46","author":"A Borst","year":"2023","journal-title":"Ann Rev Neurosci"},{"key":"pcbi.1014657.ref002","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.17421","article-title":"Complementary mechanisms create direction selectivity in the fly","volume":"5","author":"J Haag","year":"2016","journal-title":"eLife"},{"issue":"7461","key":"pcbi.1014657.ref003","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1038\/nature12320","article-title":"A directional tuning map of Drosophila elementary motion detectors","volume":"500","author":"MS Maisak","year":"2013","journal-title":"Nature"},{"key":"pcbi.1014657.ref004","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.40025","article-title":"Comparisons between the ON- and OFF-edge motion pathways in the Drosophila brain","volume":"8","author":"K Shinomiya","year":"2019","journal-title":"eLife"},{"key":"pcbi.1014657.ref005","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.50706","article-title":"The computation of directional selectivity in the Drosophila OFF motion pathway","volume":"8","author":"E Gruntman","year":"2019","journal-title":"eLife"},{"issue":"2","key":"pcbi.1014657.ref006","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1038\/s41593-017-0046-4","article-title":"Simple integration of fast excitation and offset, delayed inhibition computes directional selectivity in Drosophila","volume":"21","author":"E Gruntman","year":"2018","journal-title":"Nat Neurosci"},{"issue":"2","key":"pcbi.1014657.ref007","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1016\/j.cell.2018.02.053","article-title":"Development of concurrent retinotopic maps in the fly motion detection circuit","volume":"173","author":"F Pinto-Teixeira","year":"2018","journal-title":"Cell"},{"issue":"9","key":"pcbi.1014657.ref008","article-title":"A combinatorial code of transcription factors specifies subtypes of visual motion-sensing neurons in Drosophila","volume":"147","author":"N H\u00f6rmann","year":"2020","journal-title":"Development"},{"issue":"8032","key":"pcbi.1014657.ref009","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1038\/s41586-024-07981-1","article-title":"Neuronal parts list and wiring diagram for a visual system","volume":"634","author":"A Matsliah","year":"2024","journal-title":"Nature"},{"issue":"8083","key":"pcbi.1014657.ref010","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1038\/s41586-025-09276-5","article-title":"Eye structure shapes neuron function in Drosophila motion vision","volume":"646","author":"A Zhao","year":"2025","journal-title":"Nature"},{"issue":"3","key":"pcbi.1014657.ref011","doi-asserted-by":"crossref","DOI":"10.1126\/sciadv.abi7112","article-title":"Populations of local direction-selective cells encode global motion patterns generated by self-motion","volume":"8","author":"M Henning","year":"2022","journal-title":"Sci Adv"},{"key":"pcbi.1014657.ref012","doi-asserted-by":"crossref","first-page":"2295","DOI":"10.1038\/s41467-018-04592-z","article-title":"Spatio-temporal relays control layer identity of direction-selective neuron subtypes in Drosophila","volume":"9","author":"H Apitz","year":"2018","journal-title":"Nat Commun"},{"issue":"1","key":"pcbi.1014657.ref013","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1038\/s41592-021-01330-0","article-title":"FlyWire: online community for whole-brain connectomics","volume":"19","author":"S Dorkenwald","year":"2022","journal-title":"Nat Methods"},{"issue":"8032","key":"pcbi.1014657.ref014","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1038\/s41586-024-07558-y","article-title":"Neuronal wiring diagram of an adult brain","volume":"634","author":"S Dorkenwald","year":"2024","journal-title":"Nature"},{"issue":"8032","key":"pcbi.1014657.ref015","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1038\/s41586-024-07686-5","article-title":"Whole-brain annotation and multi-connectome cell typing of Drosophila","volume":"634","author":"P Schlegel","year":"2024","journal-title":"Nature"},{"key":"pcbi.1014657.ref016","unstructured":"Berg S, Beckett IR, Costa M, Schlegel P, Januszewski M, Marin EC. 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