Endocrine, Transcriptomic and Social Regulation of Division of Labor in Honey Bees

Endocrine, Transcriptomic and Social Regulation of Division of Labor in Honey Bees

ENDOCRINE, TRANSCRIPTOMIC AND SOCIAL REGULATION OF DIVISION OF LABOR IN HONEY BEES BY ADAM R. HAMILTON DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Neuroscience in the Graduate College of the University of Illinois at Urbana-Champaign, 2018 Urbana, Illinois Doctoral Committee: Professor Gene E. Robinson, Chair Professor Lisa J. Stubbs Professor Emeritus Rhanor Gillette Associate Professor Justin S. Rhodes Abstract Division of labor is a central facet of complex societies. Task specialization by individual members of the society (theoretically) increases the overall productivity and the fitness of the group. The work presented in this dissertation extends existing knowledge about the regulation of task-related behavioral states at the level of the individual and social group by using the honeybee as a model organism. Chapter 1 reviews the extensive literature regarding the contribution of endocrine signaling (including endocrine-mediated transcriptional cascades) to division of labor in the social Hymenoptera. It also presents a theoretical framework for the evolution of division of labor via the cooption and neofunctionalization of endocrine-mediated signaling and transcription and suggests future lines of research to investigate these phenomena. Chapter 2 investigates the transcriptomic architecture underlying two of the tasks associated with division of labor (broodcare and foraging) using a novel combination of RNA sequencing and informatic analyses. In addition to identifying a key set of transcription factors (TFs) as putative regulators of broodcare or foraging behavior, it presents findings that suggest that coherent modules of coregulated genes are critical for task-related behavioral states. It thereby extends our understanding of how division of labor might be regulated at the transcriptomic level. Chapter 3 probes the regulatory logic underlying this architecture by investigating whether connections between TFs and their targets are labile. Using both bioinformatic analyses and RNAi coupled to behavioral assays and endocrine treatments, it presents significant evidence that the TF-target connectivity can be rewired as a function of behavioral state, social context and neuroendocrine state. This demonstrates how behavioral plasticity related to division of labor can arise at the transcriptomic level. Finally, Chapter 4 links division of labor to social networks involving trophallaxis (exchange of oral secretions and food). It shows that not only are task-related behaviors associated with differences in social interactivity, but that group-level social properties can be altered by hormone treatments that shift division of labor. Chapter 4 also demonstrates that certain emergent properties (such as information flow) are unaffected by such treatments and may represent core features of trophallactic communication in bees. Therefore, the findings presented in this chapter represent an important first step toward deciphering the role of direct communication in mediating division of labor. ii Dedicated to my son, Arthur iii Acknowledgements Science is fundamentally a collaborative enterprise. My friend and mentor Rhanor Gillette often comments that some of the most groundbreaking science begins with a simple conversation over cocktail napkins. In that sense, more people have contributed to the work in this dissertation than I could ever hope to acknowledge directly. Nonetheless, they will always have my thanks. There are, however, some individuals I would like to recognize explicitly: my friends (including my fellow lab members and my lab manager Amy Cash Ahmed), my parents and, most especially, my wife Claudia. These people helped me by providing emotional support when I most needed it, and without them I surely would have faltered. Although I tried to acknowledge as many of my collaborators as possible in each chapter, there are several individuals who were particularly instrumental in generating the data presented herein, and deserve special mention: Ian Traniello, Allyson Ray, Vikyath Rao and Tim Gernat. Over the course of many experiments (successful or otherwise) we became not just collaborators, but friends; thank you for your indispensable contributions and friendship. I would also like to thank the faculty members who have served as my committee and mentors. Lisa, Rhanor Gillette, Justin, Craig and Gene gave me excellent guidance and support throughout my time as a student, and it goes without saying that this document would not be possible without them. Last, but by no means least, a heartfelt thank you to the NSP staff. Stephanie Pregent was always there for support, whether it was friendly advice or to sign one of (many) forms after a missed deadline. As for Sam Beshers, what can I say? He has been a friend, confidante, running buddy, and even the officiant at my wedding. Thank you for cheering me through to the finish line yet again, Sam. iv Table of Contents Chapter 1: Endocrine Influences on Insect Societies ........................................................ 1 Chapter 2: Insights into the Transcriptional Architecture of Behavioral Plasticity in the Honey Bee Apis mellifera .......................................................................................... 104 Chapter 3: Behavioral state and social dynamics influence transcriptional regulatory network plasticity in the honey bee brain .................................................................... 148 Chapter 4: Investigating the link between social networks and division of labor ................... 180 Chapter 5: Afterword ............................................................................................................ 206 Appendix A: Supplementary Figures .................................................................................... 208 Appendix B: Supplementary Tables ..................................................................................... 232 Appendix C: Supplementary Datasets .................................................................................. 243 v Chapter 1: Endocrine Influences on Insect Societies* Abstract Insect societies are defined by an intricate division of labor among individuals. There is a reproductive division of labor between queens and workers, and a division of labor among workers for all activities related to colony growth and development. The different castes in an insect society and the diverse roles they play are extreme manifestations of phenotypic plasticity. This chapter reviews the roles that various hormones play in governing different forms of division of labor in the insect societies, including juvenile hormone (JH), the ecdysteroids, insulin, biogenic amines, and neuropeptides. We discuss how these endocrine systems regulate diverse physiological and molecular processes during development and adulthood by serving as key signal transducers to combine information about internal and external state. We also draw on the results of a burgeoning literature on transcriptomic studies to propose a theoretical framework for how hormones modulate brain transcriptomic architecture underlying social behavior to generate phenotypic plasticity. A key feature of this framework is the notion that there has been neofunctionalization of certain endocrine systems via the rewiring of ancestral transcriptional regulatory networks. We end this chapter by presenting a mechanistic model for the evolution of insect sociality based on the co-option of endocrine pathways to respond to and regulate social behavior, using JH as a model system. In particular, we explore the relationship between the degree of neofunctionalization in JH-related pathways, the life stage at which JH modulates social stimuli, and the degree of phenotypic plasticity exhibited by various species. *This work was originally published as (Hamilton et al. 2017); copyright ©Elsevier 2017. Headings, figures and tables have been renumbered. 1 1.0.0 Introduction Sociality is one of the most successful animal lifestyles. Many of the most dominant animal species on the Earth, as defined by biomass and impact on their environment, are social (Hölldobler and Wilson, 1990; Wilson and Southwood, 1990). In the most extreme manifestations of sociality, a colony or society emerges from the collective properties of a group of individuals and their interactions. Insect societies in particular have long been an object of study and inspiration for biologists, because their collective behaviors provide an excellent example of how relatively simple organisms can interact to produce complex patterns of behavior. As a result, much research during the past century has been devoted to analyzing the collective behavior of social insects and the organization of their colonies (Wilson, 1971; Camazine et al., 2001; Hoelldobler and Wilson, 2008; Gadau and Fewell, 2009). The apparently altruistic nature of these societies presents an additional enigma, as individuals sacrifice their own reproductive fitness to maximize the reproduction of one or more nestmates. At first glance this appears to be a contradiction of Darwinian theory, and efforts to solve this puzzle have had strong impact on the scientific community, influencing issues in the fields of developmental biology (Buss, 1987), sociobiology (Wilson, 1975), and evolutionary psychology (Wilson, 1998), as well as leading to the development of widely accepted theories of social evolution, including kin selection and the action of natural

View Full Text

Details

  • File Type
    pdf
  • Upload Time
    -
  • Content Languages
    English
  • Upload User
    Anonymous/Not logged-in
  • File Pages
    248 Page
  • File Size
    -

Download

Channel Download Status
Express Download Enable

Copyright

We respect the copyrights and intellectual property rights of all users. All uploaded documents are either original works of the uploader or authorized works of the rightful owners.

  • Not to be reproduced or distributed without explicit permission.
  • Not used for commercial purposes outside of approved use cases.
  • Not used to infringe on the rights of the original creators.
  • If you believe any content infringes your copyright, please contact us immediately.

Support

For help with questions, suggestions, or problems, please contact us