ArticlePLoS biology2011
A simple mechanism for complex social behavior.
Article in PLoS biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Article
- Mutant resources for functional genomics in Dictyostelium discoideum using REMI-seq technology.BMC biology · 2021Article
- WildEcology and evolution · 2020Article
- Conditional expression explains molecular evolution of social genes in a microbe.Nature communications · 2019Article
- Cyclic dominance emerges from the evolution of two inter-linked cooperative behaviours in the social amoeba.Proceedings. Biological sciences · 2018Article
- Strategic investment explains patterns of cooperation and cheating in a microbe.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Indirect evolution of social fitness inequalities and facultative social exploitation.Proceedings. Biological sciences · 2018Article
- A polychromatic 'greenbeard' locus determines patterns of cooperation in a social amoeba.Nature communications · 2017Article
- Quorum sensing protects bacterial co-operation from exploitation by cheats.The ISME journal · 2016Article
- Social Evolution Selects for Redundancy in Bacterial Quorum Sensing.PLoS biology · 2016Article
- Fitness Trade-offs Result in the Illusion of Social Success.Current biology : CB · 2015Article
- Article
- Sociogenomics of self vs. non-self cooperation during development of Dictyostelium discoideum.BMC genomics · 2014Article
- Article
- Social conflict drives the evolutionary divergence of quorum sensing.Proceedings of the National Academy of Sciences of the United States of America · 2011Article
- Autonomous and non-autonomous traits mediate social cooperation in Dictyostelium discoideum.Journal of biosciences · 2011Article
- Evolution of cooperation and control of cheating in a social microbe.Proceedings of the National Academy of Sciences of the United States of America · 2011Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The evolution of cooperation is a paradox because natural selection should favor exploitative individuals that avoid paying their fair share of any costs. Such conflict between the self-interests of cooperating individuals often results in the evolution of complex, opponent-specific, social strategies and counterstrategies. However, the genetic and biological mechanisms underlying complex social strategies, and therefore the evolution of cooperative behavior, are largely unknown. To address this dearth of empirical data, we combine mathematical modeling, molecular genetic, and developmental approaches to test whether variation in the production of and response to social signals is sufficient to generate the complex partner-specific social success seen in the social amoeba Dictyostelium discoideum. Firstly, we find that the simple model of production of and response to social signals can generate the sort of apparent complex changes in social behavior seen in this system, without the need for partner recognition. Secondly, measurements of signal production and response in a mutant with a change in a single gene that leads to a shift in social behavior provide support for this model. Finally, these simple measurements of social signaling can also explain complex patterns of variation in social behavior generated by the natural genetic diversity found in isolates collected from the wild. Our studies therefore demonstrate a novel and elegantly simple underlying mechanistic basis for natural variation in complex social strategies in D. discoideum. More generally, they suggest that simple rules governing interactions between individuals can be sufficient to generate a diverse array of outcomes that appear complex and unpredictable when those rules are unknown.
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Registered trials
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.