dc.creator | Valle Rodríguez, Alberto del | es |
dc.creator | Cera López, Martín | es |
dc.creator | Portillo Fernández, José Ramón | es |
dc.date.accessioned | 2021-04-13T09:51:38Z | |
dc.date.available | 2021-04-13T09:51:38Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Valle Rodríguez, A.d., Cera López, M. y Portillo Fernández, J.R. (2020). A network approach to analyze neuronal lineage and layer innervation in the Drosophila optic lobes. PLos ONE, 15 (2- e0227897) | |
dc.identifier.issn | 1932-6203 | es |
dc.identifier.uri | https://hdl.handle.net/11441/107015 | |
dc.description.abstract | The optic lobes of the fruit fly Drosophila melanogaster form a highly wired neural network
composed of roughly 130.000 neurons of more than 80 different types. How neuronal diversity
arises from very few cell progenitors is a central question in developmental neurobiology.
We use the optic lobe of the fruit fly as a paradigm to understand how neuroblasts, the
neural stem cells, generate multiple neuron types. Although the development of the fly brain
has been the subject of extensive research, very little is known about the lineage relationships
of the cell types forming the adult optic lobes. Here we perform a large-scale lineage
bioinformatics analysis using the graph theory. We generated a large collection of cell
clones that genetically label the progeny of neuroblasts and built a database to draw graphs
showing the lineage relationships between cell types. By establishing biological criteria that
measures the strength of the neuronal relationships and applying community detection tools
we have identified eight clusters of neurons. Each cluster contains different cell types that
we pose are the product of eight distinct classes of neuroblasts. Three of these clusters
match the available lineage data, supporting the predictive value of the analysis. Finally,
we show that the neuronal progeny of a neuroblast do not have preferential innervation patterns,
but instead become part of different layers and neuropils. Here we establish a new
methodology that helps understanding the logic of Drosophila brain development and can
be applied to the more complex vertebrate brains. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad FIS2014-60843-P | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad MTM2014-61312-EXP | es |
dc.format | application/pdf | es |
dc.format.extent | 22 | es |
dc.language.iso | eng | es |
dc.publisher | Public Library of Science | es |
dc.relation.ispartof | PLos ONE, 15 (2- e0227897) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | A network approach to analyze neuronal lineage and layer innervation in the Drosophila optic lobes | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII) | es |
dc.relation.projectID | FIS2014-60843-P | es |
dc.relation.projectID | MTM2014-61312-EXP | es |
dc.relation.publisherversion | https://journals.plos.org/plosone/article/comments?id=10.1371/journal.pone.0227897 | es |
dc.identifier.doi | 10.1371/journal.pone.0227897 | es |
dc.journaltitle | PLos ONE | es |
dc.publication.volumen | 15 | es |
dc.publication.issue | 2- e0227897 | es |
dc.identifier.sisius | 21918186 | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |