Article (Scientific journals)
Systems biology as a framework to understand the physiological and endocrine bases of behavior and its evolution-From concepts to a case study in birds.
Fuxjager, Matthew J; Ryder, T Brandt; Moody, Nicole M et al.
2023In Hormones and Behavior, 151, p. 105340
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Keywords :
Adaptive evolution; Androgenic hormones; Animal behavior; Manakin birds; Organismal physiology; Robustness; Systems biology; Hormones; Humans; Animals; Endocrine System; Adaptation, Physiological; Systems Biology; Passeriformes/physiology; Passeriformes; Endocrinology; Endocrine and Autonomic Systems; Behavioral Neuroscience
Abstract :
[en] Organismal behavior, with its tremendous complexity and diversity, is generated by numerous physiological systems acting in coordination. Understanding how these systems evolve to support differences in behavior within and among species is a longstanding goal in biology that has captured the imagination of researchers who work on a multitude of taxa, including humans. Of particular importance are the physiological determinants of behavioral evolution, which are sometimes overlooked because we lack a robust conceptual framework to study mechanisms underlying adaptation and diversification of behavior. Here, we discuss a framework for such an analysis that applies a "systems view" to our understanding of behavioral control. This approach involves linking separate models that consider behavior and physiology as their own networks into a singular vertically integrated behavioral control system. In doing so, hormones commonly stand out as the links, or edges, among nodes within this system. To ground our discussion, we focus on studies of manakins (Pipridae), a family of Neotropical birds. These species have numerous physiological and endocrine specializations that support their elaborate reproductive displays. As a result, manakins provide a useful example to help imagine and visualize the way systems concepts can inform our appreciation of behavioral evolution. In particular, manakins help clarify how connectedness among physiological systems-which is maintained through endocrine signaling-potentiate and/or constrain the evolution of complex behavior to yield behavioral differences across taxa. Ultimately, we hope this review will continue to stimulate thought, discussion, and the emergence of research focused on integrated phenotypes in behavioral ecology and endocrinology.
Disciplines :
Neurosciences & behavior
Author, co-author :
Fuxjager, Matthew J;  Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, RI 02906, USA. Electronic address: matthew_fuxjager@brown.edu
Ryder, T Brandt;  Migratory Bird Center, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, DC 20013, USA
Moody, Nicole M;  Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, RI 02906, USA
Alfonso, Camilo;  Department of Biological Sciences, Virginia Tech, Blacksburg, VA 24060, USA
Balakrishnan, Christopher N;  Department of Biology, East Carolina University, Greenville, NC 27858, USA
Barske, Julia;  Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA
Bosholn, Mariane;  Animal Behavior Lab, Ecology Department, National Institute for Amazon Research, Manaus, Amazonas, Brazil
Boyle, W Alice;  Division of Biology, Kansas State University, Manhattan, KS 66506, USA
Braun, Edward L;  Department of Biology, University of Florida, Gainesville, FL 32611, USA
Chiver, Ioana ;  Université de Liège - ULiège > Département des sciences biomédicales et précliniques
Dakin, Roslyn;  Migratory Bird Center, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, DC 20013, USA
Day, Lainy B;  Department of Biology, University of Mississippi, University, MS 38677, USA
Driver, Robert;  Department of Biology, East Carolina University, Greenville, NC 27858, USA
Fusani, Leonida;  Department of Behavioral and Cognitive Biology, University of Vienna, and Konrad Lorenz Institute of Ethology, University of Veterinary Medicine, Vienna
Horton, Brent M;  Department of Biology, Millersville University, Millersville, PA 17551, USA
Kimball, Rebecca T;  Department of Biology, University of Florida, Gainesville, FL 32611, USA
Lipshutz, Sara;  Department of Biology, Loyola University Chicago, Chicago, IL 60660, USA
Mello, Claudio V;  Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97239, USA
Miller, Eliot T;  Cornell Lab of Ornithology, Ithaca, NY 14853, USA
Webster, Michael S;  Cornell Lab of Ornithology, Ithaca, NY 14853, USA, Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA
Wirthlin, Morgan;  Computational Biology Department, Carnegie Melon University, Pittsburgh, PA 15213, USA
Wollman, Roy;  Department of Physiology and Integrative Biology, University of California, Los Angeles, CA 90095, USA
Moore, Ignacio T;  Department of Biological Sciences, Virginia Tech, Blacksburg, VA 24060, USA
Schlinger, Barney A;  Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA, Department of Physiology and Integrative Biology, University of California, Los Angeles, CA 90095, USA, Smithsonian Tropical Research Institute, Panama City, Panama. Electronic address: schlinge@lifesci.ucla.edu
More authors (14 more) Less
Language :
English
Title :
Systems biology as a framework to understand the physiological and endocrine bases of behavior and its evolution-From concepts to a case study in birds.
Publication date :
2023
Journal title :
Hormones and Behavior
ISSN :
0018-506X
eISSN :
1095-6867
Publisher :
Elsevier, Atlanta, United States - California
Volume :
151
Pages :
105340
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
Réseau de cancérologie Rossy
Funders :
NSF - National Science Foundation
Funding text :
We thank the Manakin Genomics Research Coordination Network (RCN) that made this work possible, specifically Bette Loiselle, Mike Braun, and Emily DuVal. This project was funded by a National Science Foundation grant ( DEB-1457541 ) to support the RCN, as well as IOS-1947472 (to M.J.F.), IOS-0646459 (to B.A.S.), and IOS-1353085 (to T.B.R.).
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