4.5 Article

Social complexity and brain evolution: insights from ant neuroarchitecture and genomics

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CURRENT OPINION IN INSECT SCIENCE
卷 53, 期 -, 页码 -

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DOI: 10.1016/j.cois.2022.100962

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  1. National Science Foundation [IOS 1953393, IOS 2128304]

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Brain evolution is influenced by adaptive response to environmental cues and social signals. The impact of social organization and selective forces on brain architecture has been difficult to distinguish. Neuroanatomical and genomic studies show that socially complex species have worker bees with great behavioral and cognitive capacity. Colony size, worker physical castes, and task specialization affect brain size and mosaicism, suggesting adaptive allometries of functionally specialized brain centers.
Brain evolution is hypothesized to be driven by requirements to adaptively respond to environmental cues and social signals. Diverse models describe how sociality may have influenced eusocial insect-brain evolution, but specific impacts of social organization and other selective forces on brain architecture have been difficult to distinguish. Here, we evaluate predictions derived from and/or inferences made by models of social organization concerning the effects of individual and collective behavior on brain size, structure, and function using results of neuroanatomical and genomic studies. In contrast to the predictions of some models, we find that worker brains in socially complex species have great behavioral and cognitive capacity. We also find that colony size, the evolution of worker physical castes, and task specialization affect brain size and mosaicism, supporting the idea that sensory, processing and motor requirements for behavioral performance select for adaptive allometries of functionally specialized brain centers. We review available transcriptomic and comparative genomic studies seeking to elucidate the molecular pathways functionally associated with social life and the genetic changes that occurred during the evolution of social complexity. We discuss ways forward, using comparative neuroanatomy, transcriptomics, and comparative genomics, to distinguish among multiple alternative explanations for the relationship between the evolution of neural systems and social complexity.

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