The hypothalamic-pituitary-gonadal axis: A switch-controlled, condition-sensitive system in the regulation of life history strategies

Bruce J. Ellis

Research output: Contribution to journalReview articlepeer-review

38 Scopus citations

Abstract

This article is part of a Special Issue "Puberty and Adolescence".Life history theory provides an overarching framework for explaining the development of individual differences in reproductive strategies and highlights the role of familial and ecological conditions in regulating pubertal timing. Parental investment and sexual selection models afford a powerful framework for explaining the emergence of sex differences in reproductive strategies and suggest that pubertal timing in males and females is differentially sensitive to psychosocial stress. The West-Eberhard's (2003) model of switch-controlled modular systems provides the foundation for a comprehensive analysis of variation in reproductive strategies at the level of mechanism and development. Applied to puberty, this model provides a framework for explaining how genes and environments interact over development, are modulated by extant phenotypic characteristics, and operate through control of regulatory switch mechanisms across multiple levels of the hypothalamic-pituitary-gonadal axis. Taken together, life history theory, parental investment and sexual selection models, and the West-Eberhard framework enable an integrated evolutionary-developmental analysis of between-sex variation and within-sex variation in pubertal processes and their role in regulating alternative life history strategies.

Original languageEnglish (US)
Pages (from-to)215-225
Number of pages11
JournalHormones and Behavior
Volume64
Issue number2
DOIs
StatePublished - Jul 2013

Keywords

  • Adolescence
  • Developmental plasticity
  • Developmental switches
  • Gene-environment interactions
  • Life history theory
  • Parental investment and sexual selection
  • Puberty

ASJC Scopus subject areas

  • Endocrinology
  • Endocrine and Autonomic Systems
  • Behavioral Neuroscience

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