PUBLICATION
Genetic Control of Collective Behavior in Zebrafish
- Authors
- Tang, W., Davidson, J.D., Zhang, G., Conen, K.E., Fang, J., Serluca, F., Li, J., Xiong, X., Coble, M., Tsai, T., Molind, G., Fawcett, C.H., Sanchez, E., Zhu, P., Couzin, I.D., Fishman, M.C.
- ID
- ZDB-PUB-200403-91
- Date
- 2020
- Source
- iScience 23: 100942 (Journal)
- Registered Authors
- Fawcett, Caroline, Fishman, Mark C., Serluca, Fabrizio, Tang, Wenlong, Zhu, Peixin
- Keywords
- Behavior Genetics, Behavioral Neuroscience, Biological Sciences, Genetics
- MeSH Terms
- none
- PubMed
- 32179471 Full text @ iScience
Citation
Tang, W., Davidson, J.D., Zhang, G., Conen, K.E., Fang, J., Serluca, F., Li, J., Xiong, X., Coble, M., Tsai, T., Molind, G., Fawcett, C.H., Sanchez, E., Zhu, P., Couzin, I.D., Fishman, M.C. (2020) Genetic Control of Collective Behavior in Zebrafish. iScience. 23:100942.
Abstract
Many animals, including humans, have evolved to live and move in groups. In humans, disrupted social interactions are a fundamental feature of many psychiatric disorders. However, we know little about how genes regulate social behavior. Zebrafish may serve as a powerful model to explore this question. By comparing the behavior of wild-type fish with 90 mutant lines, we show that mutations of genes associated with human psychiatric disorders can alter the collective behavior of adult zebrafish. We identify three categories of behavioral variation across mutants: "scattered," in which fish show reduced cohesion; "coordinated," in which fish swim more in aligned schools; and "huddled," in which fish form dense but disordered groups. Changes in individual interaction rules can explain these differences. This work demonstrates how emergent patterns in animal groups can be altered by genetic changes in individuals and establishes a framework for understanding the fundamentals of social information processing.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping