Journal article
A single-cell transcriptomic atlas tracking the neural basis of division of labour in an ant superorganism
- Abstract:
- Individual variation in sociability is a central feature of every society. This includes honey bees, with some individuals well connected and sociable, and others at the periphery of their colony’s social network. However, the genetic and molecular bases of sociability are poorly understood. Trophallaxis—a behavior involving sharing liquid with nutritional and signaling properties—comprises a social interaction and a proxy for sociability in honey bee colonies: more sociable bees engage in more trophallaxis. Here, we identify genetic and molecular mechanisms of trophallaxis-based sociability by combining genome sequencing, brain transcriptomics, and automated behavioral tracking. A genome-wide association study (GWAS) identified 18 single nucleotide polymorphisms (SNPs) associated with variation in sociability. Several SNPs were localized to genes previously associated with sociability in other species, including in the context of human autism, suggesting shared molecular mechanisms of sociability. Variation in sociability also was linked to differential brain gene expression, particularly genes associated with neural signaling and development. Using comparative genomic and transcriptomic approaches, we also detected evidence for divergent mechanisms underpinning sociability across species, including those related to reward sensitivity and encounter probability. These results highlight both potential evolutionary conservation of the molecular roots of sociability and points of divergence
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 5.5MB, Terms of use)
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- Publisher copy:
- 10.1038/s41559-022-01784-1
- Publication website:
- https://pure-oai.bham.ac.uk/ws/files/278610570/pbio.3003367.pdf
Authors
+ National Natural Science Foundation of China
More from this funder
- Funder identifier:
- 10.13039/501100001809
- Grant:
- 31970573
- Publisher:
- Nature Research
- Journal:
- Nature Ecology & Evolution More from this journal
- Volume:
- 6
- Issue:
- 8
- Pages:
- 1191-1204
- Publication date:
- 2022-06-16
- DOI:
- EISSN:
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2397-334X
- ISSN:
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2397-334X
- Language:
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English
- Keywords:
- Pubs id:
-
1532758
- Local pid:
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pubs:1532758
- Source identifiers:
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W4283033841
- Deposit date:
-
2026-05-17
- ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.
Terms of use
- Copyright date:
- 2022
- Licence:
- CC Attribution (CC BY)
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