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The gene “degrees of kevin bacon” (dokb) regulates a social network behaviour in Drosophila melanogaster

Author

Listed:
  • Rebecca Rooke

    (University of Toronto at Mississauga
    University of Toronto)

  • Joshua J. Krupp

    (University of Toronto at Mississauga)

  • Amara Rasool

    (University of Toronto at Mississauga
    University of Toronto)

  • Mireille Golemiec

    (University of Toronto at Mississauga)

  • Megan Stewart

    (University of Toronto at Mississauga)

  • Jonathan Schneider

    (University of Toronto at Mississauga)

  • Joel D. Levine

    (University of Toronto at Mississauga
    University of Toronto)

Abstract

Social networks are a mathematical representation of interactions among individuals which are prevalent across various animal species. Studies of human populations have shown the breadth of what can spread throughout a social network: obesity, smoking cessation, happiness, drug use and divorce. ‘Betweenness centrality’ is a key property of social networks that indicates an individual’s importance in facilitating communication and cohesion within the network. Heritability of betweenness centrality has been suggested in several species, however the genetic regulation of this property remains enigmatic. Here, we demonstrate that the gene CG14109, referred to as degrees of kevin bacon (dokb), influences betweenness centrality in Drosophila melanogaster. We identify strain-specific alleles of dokb with distinct amino acid sequences and when the dokb allele is exchanged between strains, flies exhibit the betweenness centrality pattern dictated by the donor allele. By inserting a GAL4 reporter into the dokb locus, we confirm that dokb is expressed in the central nervous system. These findings define a novel genetic entry point to study social network structure and thereby establish gene-to-social structure relationships. While dokb sequence homology is exclusive to Diptera, we anticipate that dokb-associated molecular pathways could unveil convergent neural mechanisms of social behaviour that apply in diverse animal species.

Suggested Citation

  • Rebecca Rooke & Joshua J. Krupp & Amara Rasool & Mireille Golemiec & Megan Stewart & Jonathan Schneider & Joel D. Levine, 2024. "The gene “degrees of kevin bacon” (dokb) regulates a social network behaviour in Drosophila melanogaster," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47499-8
    DOI: 10.1038/s41467-024-47499-8
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    References listed on IDEAS

    as
    1. Abbasi, Alireza & Hossain, Liaquat & Leydesdorff, Loet, 2012. "Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks," Journal of Informetrics, Elsevier, vol. 6(3), pages 403-412.
    2. Yuanjie Sun & Rong Qiu & Xiaonan Li & Yaxin Cheng & Shan Gao & Fanchen Kong & Li Liu & Yan Zhu, 2020. "Social attraction in Drosophila is regulated by the mushroom body and serotonergic system," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
    3. Frédéric B. Piel & Anand P. Patil & Rosalind E. Howes & Oscar A. Nyangiri & Peter W. Gething & Thomas N. Williams & David J. Weatherall & Simon I. Hay, 2010. "Global distribution of the sickle cell gene and geographical confirmation of the malaria hypothesis," Nature Communications, Nature, vol. 1(1), pages 1-7, December.
    4. Jean-Christophe Billeter & Jade Atallah & Joshua J. Krupp & Jocelyn G. Millar & Joel D. Levine, 2009. "Specialized cells tag sexual and species identity in Drosophila melanogaster," Nature, Nature, vol. 461(7266), pages 987-991, October.
    5. Daizaburo Shizuka & Allison E Johnson & Leigh Simmons, 2020. "How demographic processes shape animal social networks," Behavioral Ecology, International Society for Behavioral Ecology, vol. 31(1), pages 1-11.
    6. Yuanjie Sun & Rong Qiu & Xiaonan Li & Yaxin Cheng & Shan Gao & Fanchen Kong & Li Liu & Yan Zhu, 2020. "Author Correction: Social attraction in Drosophila is regulated by the mushroom body and serotonergic system," Nature Communications, Nature, vol. 11(1), pages 1-1, December.
    7. Liming Wang & David J. Anderson, 2010. "Identification of an aggression-promoting pheromone and its receptor neurons in Drosophila," Nature, Nature, vol. 463(7278), pages 227-231, January.
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