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Clonal raider ant brain transcriptomics identifies candidate molecular mechanisms for reproductive division of labor

Overview of attention for article published in BMC Biology, August 2018
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Title
Clonal raider ant brain transcriptomics identifies candidate molecular mechanisms for reproductive division of labor
Published in
BMC Biology, August 2018
DOI 10.1186/s12915-018-0558-8
Pubmed ID
Authors

Romain Libbrecht, Peter R. Oxley, Daniel J. C. Kronauer

Abstract

Division of labor between reproductive queens and workers that perform brood care is a hallmark of insect societies. However, studies of the molecular basis of this fundamental dichotomy are limited by the fact that the caste of an individual cannot typically be experimentally manipulated at the adult stage. Here we take advantage of the unique biology of the clonal raider ant, Ooceraea biroi, to study brain gene expression dynamics during experimentally induced transitions between reproductive and brood care behavior. Introducing larvae that inhibit reproduction and induce brood care behavior causes much faster changes in adult gene expression than removing larvae. In addition, the general patterns of gene expression differ depending on whether ants transition from reproduction to brood care or vice versa, indicating that gene expression changes between phases are cyclic rather than pendular. Finally, we identify genes that could play upstream roles in regulating reproduction and behavior because they show large and early expression changes in one or both transitions. Our analyses reveal that the nature and timing of gene expression changes differ substantially depending on the direction of the transition, and identify a suite of promising candidate molecular regulators of reproductive division of labor that can now be characterized further in both social and solitary animal models. This study contributes to understanding the molecular regulation of reproduction and behavior, as well as the organization and evolution of insect societies.

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Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 20%
Student > Ph. D. Student 15 18%
Researcher 9 11%
Student > Bachelor 8 9%
Student > Doctoral Student 5 6%
Other 11 13%
Unknown 20 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 48%
Biochemistry, Genetics and Molecular Biology 14 16%
Unspecified 2 2%
Environmental Science 1 1%
Business, Management and Accounting 1 1%
Other 4 5%
Unknown 22 26%