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The architecture of the pollen hoarding syndrome in honey bees: implications for understanding social evolution, behavioral syndromes, and selective breeding

期刊

APIDOLOGIE
卷 45, 期 3, 页码 364-374

出版社

SPRINGER FRANCE
DOI: 10.1007/s13592-013-0244-3

关键词

Apis mellifera; pleiotropy; behavioral syndrome; honey bee health; social behavior; correlated evolution; artificial selection; ovary

资金

  1. National Institutes of Health [R15GM102753]
  2. United States Department of Agriculture [2010-65104-20533]
  3. North American Pollinator Protection Campaign

向作者/读者索取更多资源

Social evolution has influenced every aspect of contemporary honey bee biology, but the details are difficult to reconstruct. The reproductive ground plan hypothesis of social evolution proposes that central regulators of the gonotropic cycle of solitary insects have been co-opted to coordinate social complexity in honey bees, such as the division of labor among workers. The predicted trait associations between reproductive physiology and social behavior have been identified in the context of the pollen hoarding syndrome, a larger suite of interrelated traits. The genetic architecture of this syndrome is characterized by a partially overlapping genetic architecture with several consistent, pleiotropic quantitative trait loci (QTL). Despite these central QTL and an integrated hormonal regulation, separate aspects of the pollen hoarding syndrome may evolve independently due to peripheral QTL and additionally segregating genetic variance. The characterization of the pollen hoarding syndrome has also demonstrated that this syndrome involves many non-behavioral traits, which may be the case for numerous behavioral syndromes. Furthermore, the genetic architecture of the pollen hoarding syndrome has implications for breeding programs for improving honey health and other desirable traits: if these traits are comparable to the pollen hoarding syndrome, consistent pleiotropic QTL will enable marker-assisted selection, while sufficient additional genetic variation may permit the dissociation of trade-offs for efficient multiple trait selection.

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