Title: | Using Flies to Understand Social Networks |
Author(s): | Jezovit JA; Alwash N; Levine JD; |
Address: | "Department of Cell and Systems Biology, University of Toronto Mississauga, Mississauga, ON, Canada. Department of Cell and Systems Biology, University of Toronto, Toronto, ON, Canada. International Research Centre for Neurointelligence, University of Tokyo, Tokyo, Japan" |
DOI: | 10.3389/fncir.2021.755093 |
ISSN/ISBN: | 1662-5110 (Electronic) 1662-5110 (Linking) |
Abstract: | "Many animals live in groups and interact with each other, creating an organized collective structure. Social network analysis (SNA) is a statistical tool that aids in revealing and understanding the organized patterns of shared social connections between individuals in groups. Surprisingly, the application of SNA revealed that Drosophila melanogaster, previously considered a solitary organism, displays group dynamics and that the structure of group life is inherited. Although the number of studies investigating Drosophila social networks is currently limited, they address a wide array of questions that have only begun to capture the details of group level behavior in this insect. Here, we aim to review these studies, comparing their respective scopes and the methods used, to draw parallels between them and the broader body of knowledge available. For example, we highlight how despite methodological differences, there are similarities across studies investigating the effects of social isolation on social network dynamics. Finally, this review aims to generate hypotheses and predictions that inspire future research in the emerging field of Drosophila social networks" |
Keywords: | Animals;Animals *Drosophila melanogaster Insecta Social Behavior *Social Networking Drosophila machine vision neurogenetics pheromones social networks; |
Notes: | "MedlineJezovit, Jacob A Alwash, Nawar Levine, Joel D eng CIHR/Canada Research Support, Non-U.S. Gov't Review Switzerland 2021/12/21 Front Neural Circuits. 2021 Dec 3; 15:755093. doi: 10.3389/fncir.2021.755093. eCollection 2021" |