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Integrated genomics approaches in evolutionary and ecological endocrinology
Ecological Genomics (2014)
  • Jun Kitano
  • Asano Ishikawa
  • Sean C Lema

Hormones can act on a variety of target tissues to regulate the expression of multiple phenotypic traits. Therefore, phenotypes regulated by the same hormones can be genetically correlated due to their common regulatory mechanism. Such genetic correlations may either facilitate or constrain adaptive evolution. In addition, hormone signaling pathways are regulated by external environmental factors, so hormones can mediate phenotypic plasticity and polyphenism. When different responses to environmental signals are favored, hormone signaling pathways can vary between populations and species exploiting dissimilar environments and thus mediate genotype-by-environment interactions. A complete understanding of the evolutionary causes and ecological implications of hormone signal variation requires examining several components of hormone signaling pathways across multiple individuals, populations, and species. Genomic technologies are excellent tools for undertaking genetic studies of naturally occurring variation in hormone signals. In this chapter, we review how genomic approaches can help to answer major questions in evolutionary endocrinology, including how environmental cues can be translated into phenotypic development through hormone pathways, how multiple hormone-mediated phenotypic traits are coupled and decoupled, how gene functions in hormone pathways influence the evolutionary rate of genes, and how divergence in hormone pathways can contribute to phenotypic diversification and speciation in non-model organisms. We also discuss how emerging analytical and experimental technologies in genomics and hormone measurement can provide valuable new insights into the roles of hormone signal variation in adaptive evolution and phenotypic diversification.

Publication Date
Christian R. Landry, Nadia Aubin-Horth
Springer Press
Advances in Experimental Medicine and Biology
Citation Information
Jun Kitano, Asano Ishikawa and Sean C Lema. "Integrated genomics approaches in evolutionary and ecological endocrinology" Ecological Genomics Vol. 781 (2014)
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