The Drosophila Split Gal4 System for Neural Circuit Mapping

Bibliographic Details
Title: The Drosophila Split Gal4 System for Neural Circuit Mapping
Authors: Haojiang Luan, Fengqiu Diao, Robert L. Scott, Benjamin H. White
Source: Frontiers in Neural Circuits, Vol 14 (2020)
Publisher Information: Frontiers Media S.A., 2020.
Publication Year: 2020
Collection: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
Subject Terms: intersectional targeting, binary expression systems, cell type, connectomics, genetic models, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
More Details: The diversity and dense interconnectivity of cells in the nervous system present a huge challenge to understanding how brains work. Recent progress toward such understanding, however, has been fuelled by the development of techniques for selectively monitoring and manipulating the function of distinct cell types—and even individual neurons—in the brains of living animals. These sophisticated techniques are fundamentally genetic and have found their greatest application in genetic model organisms, such as the fruit fly Drosophila melanogaster. Drosophila combines genetic tractability with a compact, but cell-type rich, nervous system and has been the incubator for a variety of methods of neuronal targeting. One such method, called Split Gal4, is playing an increasingly important role in mapping neural circuits in the fly. In conjunction with functional perturbations and behavioral screens, Split Gal4 has been used to characterize circuits governing such activities as grooming, aggression, and mating. It has also been leveraged to comprehensively map and functionally characterize cells composing important brain regions, such as the central complex, lateral horn, and the mushroom body—the latter being the insect seat of learning and memory. With connectomics data emerging for both the larval and adult brains of Drosophila, Split Gal4 is also poised to play an important role in characterizing neurons of interest based on their connectivity. We summarize the history and current state of the Split Gal4 method and indicate promising areas for further development or future application.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1662-5110
Relation: https://www.frontiersin.org/articles/10.3389/fncir.2020.603397/full; https://doaj.org/toc/1662-5110
DOI: 10.3389/fncir.2020.603397
Access URL: https://doaj.org/article/e2490a3e175a4f6d842cefe6517a1ede
Accession Number: edsdoj.2490a3e175a4f6d842cefe6517a1ede
Database: Directory of Open Access Journals
More Details
ISSN:16625110
DOI:10.3389/fncir.2020.603397
Published in:Frontiers in Neural Circuits
Language:English