Neuroscience: Intelligence in the Honeybee Mushroom Body

Caron, Sophie; Abbott, L. F.

doi:10.1016/j.cub.2017.02.011

Cited by 6 publications

(4 citation statements)

References 17 publications

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“…We now have a good idea of the neural underpinnings of learning in insects from studies of the Mushroom Bodies (MB) [33][34][35][36][37], which are assumed to be the seat of the route visual memories [8,38,39] (Figure 3). Each view experienced can be represented by a specific pattern of activation of Kenyon Cells (KC) in the MB [7], and KCs project onto multiple output neurons (MBONs) conveying different valences [40,41].…”

Section: Neural Implicationsmentioning

confidence: 99%

Rapid Aversive and Memory Trace Learning during Route Navigation in Desert Ants

et al. 2020

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Section: Neural Implicationsmentioning

confidence: 99%

Rapid Aversive and Memory Trace Learning during Route Navigation in Desert Ants

et al. 2020

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“…KCs: The mushroom bodies are the processing centers for sensory information and are also involved in learning and memory [54]. We found five mushroom-body cell clusters (clusters 3, 6, 9, 10, and 13; LOC408804 (plc) and LOC408372 (mub)) [39].…”

Section: Repetitive Elementsmentioning

confidence: 83%

“…Finally, using the marker LOC410658 (lim3), we identified the PM cell type of the optic lobe (clusters 4, 5, and 7) [39,49]. KCs: The mushroom bodies are the processing centers for sensory information and are also involved in learning and memory [54]. We found five mushroom-body cell clusters (clusters 3, 6, 9, 10, and 13; LOC408804 (plc) and LOC408372 (mub)) [39].…”

Section: Expression Of Eight Repeats Segregates Brain Cell Populationsmentioning

confidence: 94%

Dynamic Evolution of Repetitive Elements and Chromatin States in Apis mellifera Subspecies

Panyushev,

Selitskiy,

Melnichenko

et al. 2024

Genes

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In this study, we elucidate the contribution of repetitive DNA sequences to the establishment of social structures in honeybees (Apis mellifera). Despite recent advancements in understanding the molecular mechanisms underlying the formation of honeybee castes, primarily associated with Notch signaling, the comprehensive identification of specific genomic cis-regulatory sequences remains elusive. Our objective is to characterize the repetitive landscape within the genomes of two honeybee subspecies, namely A. m. mellifera and A. m. ligustica. An observed recent burst of repeats in A. m. mellifera highlights a notable distinction between the two subspecies. After that, we transitioned to identifying differentially expressed DNA elements that may function as cis-regulatory elements. Nevertheless, the expression of these sequences showed minimal disparity in the transcriptome during caste differentiation, a pivotal process in honeybee eusocial organization. Despite this, chromatin segmentation, facilitated by ATAC-seq, ChIP-seq, and RNA-seq data, revealed a distinct chromatin state associated with repeats. Lastly, an analysis of sequence divergence among elements indicates successive changes in repeat states, correlating with their respective time of origin. Collectively, these findings propose a potential role of repeats in acquiring novel regulatory functions.

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“…However, recent research shows that despite the lack of layered neocortex, large areas of the avian forebrain are homologous to mammalian cortex (Jarvis et al, 2005;Pfenning et al, 2014;Güntürkün and Bugnyar, 2016) and play similar roles in higher cognitive functions (Kirsch et al, 2008). Similarly, complex brain functions can emerge from simple neural circuits such as honeybees' mushroom body (Caron and Abbott, 2017) and miniature brains can complete a range of cognitive operations (Chittka and Niven, 2009;Chittka, 2017).…”

Section: Relationship With Published Brain Datamentioning

confidence: 99%

Uncertainty monitoring and information seeking in non-primate animals: Meta-analysis and systematic review

Qu,

Shi,

et al. 2023

Front. Ethol.

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Metacognitive abilities, the capacity to think about one’s own thinking processes, offer a range of advantages that may drive their evolution in non-primate animals (NPAs). These advantages include enhancing adaptive decision-making in uncertain situations, efficient resource management, error detection and correction, and facilitating complex social interactions and problem-solving. In this comprehensive study, we have chosen two key paradigms — namely, uncertainty monitoring and information-seeking tasks — to study metacognitive phenomena in NPAs. The first paradigm involves an extensive meta-analysis of existing research, shedding light on how NPAs monitor and respond to uncertainty. We then transition to the second paradigm, which focuses on information-seeking behaviors, employing a different analytical approach. Our study aims to provide a holistic understanding of these cognitive processes in NPAs, contributing valuable insights into their cognitive complexity and ecological contexts. Through a coverage of 30 articles spanning 13 different NPA species, we bridge gaps in our understanding of metacognition beyond primates and explore potential divergent evolutionary paths, challenging assumptions about cognitive capability in NPAs.

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Neuroscience: Intelligence in the Honeybee Mushroom Body

Abstract: Intelligence, in most people’s conception, involves combining pieces of evidence to reach non-obvious conclusions. A recent theoretical study shows that intelligence-like brain functions can emerge from simple neural circuits, in this case the honeybee mushroom body.

Cited by 6 publications

References 17 publications

Rapid Aversive and Memory Trace Learning during Route Navigation in Desert Ants

Rapid Aversive and Memory Trace Learning during Route Navigation in Desert Ants

Dynamic Evolution of Repetitive Elements and Chromatin States in Apis mellifera Subspecies

Uncertainty monitoring and information seeking in non-primate animals: Meta-analysis and systematic review

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