Gene co-citation networks associated with worker sterility in honey bees (#50)
The evolution of reproductive
self-sacrifice is well understood from kin theory, yet our understanding of how
actual genes influence the expression of reproductive altruism is only
beginning to take shape. In this study we use microarray meta-data and a co-citation
analysis to describe what gene interactions might regulate a worker’s response
to ovary suppressing queen pheromone. We reconstruct a total of nine gene
networks that vary in size and gene composition, but that are enriched for
genes of reproductive function. The networks identify, for the first time,
which candidate microarray genes are of functional importance, as evidenced by
their degree of connectivity to other genes within each of the inferred
networks. Our study identifies single genes of interest related to oogenesis,
including eggless, and further implicates multi-gene pathways related to
insulin, ecdysteroid, and dopamine signaling as potentially important to
reproductive decision making in honey bees. The networks generated here are
provisional but do offer a new multi-gene framework for understanding how honey
bees regulate personal reproduction within their highly social breeding system.