FB2026_03 , released September 17, 2026
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Citation
Rooke, R., Krupp, J.J., Rasool, A., Golemiec, M., Stewart, M., Schneider, J., Levine, J.D. (2024). The gene "degrees of kevin bacon" (dokb) regulates a social network behaviour in Drosophila melanogaster.  Nat. Commun. 15(1): 3339.
FlyBase ID
FBrf0259420
Publication Type
Research paper
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.
PubMed ID
PubMed Central ID
PMC11061139 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Nat. Commun.
    Title
    Nature communications
    ISBN/ISSN
    2041-1723
    Data From Reference
    Aberrations (1)
    Alleles (9)
    Genes (3)
    Insertions (5)
    Transgenic Constructs (5)