ArticlePLoS computational biology2018
A simple computer vision pipeline reveals the effects of isolation on social interaction dynamics in Drosophila.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 33 citations in OpenAlex.
- Chemical signals and social structures strengthen sexual isolation in Drosophila pseudoobscura.Communications biology · 2025Article
- TransgenicCurrent issues in molecular biology · 2024Article
- Recovery from social isolation requires dopamine in males, but not the autism-related geneRoyal Society open science · 2024Article
- Article
- An integrative sensor of body states: how the mushroom body modulates behavior depending on physiological context.Learning & memory (Cold Spring Harbor, N.Y.) · 2024Review
- DVT: a high-throughput analysis pipeline for locomotion and social behavior in adult Drosophila melanogaster.Cell & bioscience · 2023Article
- A network-based analysis detects cocaine-induced changes in social interactions in Drosophila melanogaster.PloS one · 2023Article
- Review
- Using Flies to Understand Social Networks.Frontiers in neural circuits · 2021Review
- Integrated analysis of a compendium of RNA-Seq datasets for splicing factors.Scientific data · 2020Article
- Behavioral and environmental contributions to drosophilid social networks.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Neuronal Mechanisms that Drive Organismal Aging Through the Lens of Perception.Annual review of physiology · 2020Review
- Intellectual disability and autism spectrum disorders 'on the fly': insights fromDisease models & mechanisms · 2019Review
- MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology.PloS one · 2019Article
- Sleep inFrontiers in physiology · 2019Review
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Authors and funding
14 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Isolation profoundly influences social behavior in all animals. In humans, isolation has serious effects on health. Drosophila melanogaster is a powerful model to study small-scale, temporally-transient social behavior. However, longer-term analysis of large groups of flies is hampered by the lack of effective and reliable tools. We built a new imaging arena and improved the existing tracking algorithm to reliably follow a large number of flies simultaneously. Next, based on the automatic classification of touch and graph-based social network analysis, we designed an algorithm to quantify changes in the social network in response to prior social isolation. We observed that isolation significantly and swiftly enhanced individual and local social network parameters depicting near-neighbor relationships. We explored the genome-wide molecular correlates of these behavioral changes and found that whereas behavior changed throughout the six days of isolation, gene expression alterations occurred largely on day one. These changes occurred mostly in metabolic genes, and we verified the metabolic changes by showing an increase of lipid content in isolated flies. In summary, we describe a highly reliable tracking and analysis pipeline for large groups of flies that we use to unravel the behavioral, molecular and physiological impact of isolation on social network dynamics in Drosophila.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.