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Evolution of hormone-phenotype couplings and hormone-genome interactions.
Cox, Robert M; Hale, Matthew D; Wittman, Tyler N; Robinson, Christopher D; Cox, Christian L.
Afiliação
  • Cox RM; Department of Biology, University of Virginia, Charlottesville, VA, USA. Electronic address: rmc3u@virginia.edu.
  • Hale MD; Department of Biology, University of Virginia, Charlottesville, VA, USA.
  • Wittman TN; Department of Biology, University of Virginia, Charlottesville, VA, USA.
  • Robinson CD; Department of Biology, University of Virginia, Charlottesville, VA, USA.
  • Cox CL; Department of Biology, University of Virginia, Charlottesville, VA, USA; Biological Sciences, Florida International University, Miami, FL, USA.
Horm Behav ; 144: 105216, 2022 08.
Article em En | MEDLINE | ID: mdl-35777215
ABSTRACT
When selection favors a new relationship between a cue and a hormonally mediated response, adaptation can proceed by altering the hormonal signal that is produced or by altering the phenotypic response to the hormonal signal. The field of evolutionary endocrinology has made considerable progress toward understanding the evolution of hormonal signals, but we know much less about the evolution of hormone-phenotype couplings, particularly at the hormone-genome interface. We briefly review and classify the mechanisms through which these hormone-phenotype couplings likely evolve, using androgens and their receptors and genomic response elements to illustrate our view. We then present two empirical studies of hormone-phenotype couplings, one rooted in evolutionary quantitative genetics and another in comparative transcriptomics, each focused on the regulation of sexually dimorphic phenotypes by testosterone (T) in the brown anole lizard (Anolis sagrei). First, we illustrate the potential for hormone-phenotype couplings to evolve by showing that coloration of the dewlap (an ornament used in behavioral displays) exhibits significant heritability in its responsiveness to T, implying that anoles harbor genetic variance in the architecture of hormonal pleiotropy. Second, we combine T manipulations with analyses of the liver transcriptome to ask whether and how statistical methods for characterizing modules of co-expressed genes and in silico techniques for identifying androgen response elements (AREs) can improve our understanding of hormone-genome interactions. We conclude by emphasizing important avenues for future work at the hormone-genome interface, particularly those conducted in a comparative evolutionary framework.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Lagartos Limite: Animals Idioma: En Revista: Horm Behav Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Lagartos Limite: Animals Idioma: En Revista: Horm Behav Ano de publicação: 2022 Tipo de documento: Article