Hormone signaling in evolution and development: a non-model system approachs
Abstract
Cooption and modularity are informative concepts in evolutionary developmental biology. Genes function within complex networks that act as modules in development. These modules can then be coopted in various functional and evolutionary contexts. Hormonal signaling, the main focus of this review, has a modular character. By regulating the activities of genes, proteins and other cellular molecules, a hormonal signal can have major effects on physiological and ontogenetic processes within and across tissues over a wide spatial and temporal scale. Because of this property, we argue that hormones are frequently involved in the coordination of life history transitions (LHTs) and their evolution (LHE). Finally, we promote the usefulness of a comparative, non-model system approach towards understanding how hormones function and guide development and evolution, highlighting thyroid hormone function in echinoids as an example.
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Hormonal regulation of between-stage transitions allows for plasticity, making transitions sensitive to social and environmental cues.
“Working through both peripheral and central nervous system pathways, hormonal regulation of between-stage transitions allows for remarkable plasticity, making these transitions sensitive to social and environmental cues.”
From The Adaptive Calibration Model of stress responsivity (2011) · cites this paper as Heyland et al., 2005
Transitions between life stages are often under hormonal control, and hormonal signaling systems act as crucial nodes coordinating trait expression.
“Transitions between life stages are often under hormonal control (Adkins-Regan, 2005; Heyland et al., 2005). The widely distributed effects of hormonal signaling systems allows them to act as crucial nodes in complex regulatory networks, coordinating the expression of traits in the whole organism (Dufty et al., 2002; Heyland et al., 2005).”
From The Adaptive Calibration Model of stress responsivity (2011) · cites this paper as Heyland et al., 2005
The view that neuroendocrine systems are involved in transmitting and integrating information is well established in neurobiology.
“The view of neuroendocrine systems as involved in the transmission and integration of information is well established in neurobiology (e.g., Dufty et al., 2002; Ellison, 2009; Heyland et al., 2005)”
From The Adaptive Calibration Model of stress responsivity (2011) · cites this paper as Heyland et al., 2005
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References 114 · Cited by 99
- Authors
- Heyland, A., Hodin, J., & Reitzel, A. M.
- Affiliations
- University of Washington (US)
- Boston University (US)
- Corresponding author
- Heyland, Andreas
- Venue
- BioEssays
- Publisher
- Wiley
- Published
- 2004
- Volume
- 27
- Issue
- 1
- Pages
- 64-75
- ISSN
- 0265-9247 (ISSN-L)
- 1521-1878
- OpenAlex
- W2094949802
- Cited by
- 99
- References
- 114
- Citations by year
- 2025: 2 · 2024: 4 · 2023: 3 · 2022: 3 · 2021: 6 · 2020: 3 · 2019: 7 · 2018: 3 · 2017: 3 · 2016: 6 · 2015: 3 · 2014: 3 · 2013: 2 · 2012: 8
- FWCI
- 0.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- BioEssays (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Johns Hopkins University
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Behavior and Reproduction
- Physical Sciences › Earth and Planetary Sciences › Paleontology › Marine Invertebrate Physiology and Ecology
- Keywords
- hormone signaling, cooption, modularity, gene regulatory networks, life-history transitions, evolutionary developmental biology, non-model organisms, comparative endocrinology, thyroid hormones, sea urchins
- MeSH terms
- Animals, Gene Expression Regulation, Hormones, Humans, Metamorphosis, Biological, Models, Biological, Models, Chemical, Models, Theoretical, Signal Transduction, Developmental Biology, Gene Expression Regulation, Developmental, Evolution, Molecular
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