Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#The evolution of reproductive self-sacrifice is ll understood from kin theory, yet our understanding of how actual genes influence the expression of reproductive altruism is only beginning to take shape. As a model in the molecular study of social behaviour, the honey bee Apis mellifera has yielded hundreds of genes associated in their expression with differences in reproductive status of females, including genes directly associated with sterility, yet there has not been an attempt to link these candidates into functional networks that explain how workers regulate sterility in the presence of queen pheromone. In this study  use available microarray data and a co-citation analysis to describe what gene interactions might regulate a worker’s response to ovary suppressing queen pheromone.
['Emma Kate Mullen', 'Mark Daley', 'Alanna Gabrielle Backx', 'Graham J. Thompson']
I am writing a research paper on a idea Gene co-citation networks associated with worker sterility in honey bees
[{"from": "human", "value": "I am writing a research paper on a idea Gene co-citation networks associated with worker sterility in honey bees"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#The evolution of reproductive self-sacrifice is ll understood from kin theory, yet our understanding of how actual genes influence the expression of reproductive altruism is only beginning to take shape. As a model in the molecular study of social behaviour, the honey bee Apis mellifera has yielded hundreds of genes associated in their expression with differences in reproductive status of females, including genes directly associated with sterility, yet there has not been an attempt to link these candidates into functional networks that explain how workers regulate sterility in the presence of queen pheromone. In this study  use available microarray data and a co-citation analysis to describe what gene interactions might regulate a worker\u2019s response to ovary suppressing queen pheromone."}]