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Gonads and the evolution of hormonal phenotypes.

ABSTRACT: Hormones are dynamic signaling molecules that influence gene activity and phenotype, and they are thus thought to play a central role in phenotypic evolution. In vertebrates, many fitness-related traits are mediated by the hormone testosterone (T), but the mechanisms by which T levels evolve are unclear. Here, we summarize a series of studies that advance our understanding of these mechanisms by comparing males from two subspecies of dark-eyed junco (Junco hyemalis) that differ in aggression, body size, and ornamentation. We first review our research demonstrating population differences in the time-course of T production, as well as findings that point to the gonad as a major source of this variation. In a common garden, the subspecies do not differ in pituitary output of luteinizing hormone, but males from the more androgenized subspecies have greater gonadal gene expression for specific steroidogenic enzymes, and they may be less sensitive to feedback along the hypothalamo-pituitary-gonadal (HPG) axis. Furthermore, we present new data from a common garden study demonstrating that the populations do not differ in gonadal sensitivity to gonadotropin-inhibitory hormone (i.e., GnIH receptor mRNA abundance), but the more androgenized subspecies expresses less gonadal mRNA for glucocorticoid receptor and mineralocorticoid receptor, suggesting altered cross-talk between the hypothalamo-pituitary-gonadal and -adrenal axes as another mechanism by which these subspecies have diverged in T production. These findings highlight the diversity of mechanisms that may generate functional variation in T and influence hormone-mediated phenotypic evolution.

SUBMITTER: Rosvall KA

PROVIDER: S-EPMC5922417 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature

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Gonads and the evolution of hormonal phenotypes.

Rosvall Kimberly A KA Bergeon Burns Christine M CM Jayaratna Sonya P SP Dossey Emma K EK Ketterson Ellen D ED

Integrative and comparative biology 20160601 2

Hormones are dynamic signaling molecules that influence gene activity and phenotype, and they are thus thought to play a central role in phenotypic evolution. In vertebrates, many fitness-related traits are mediated by the hormone testosterone (T), but the mechanisms by which T levels evolve are unclear. Here, we summarize a series of studies that advance our understanding of these mechanisms by comparing males from two subspecies of dark-eyed junco (Junco hyemalis) that differ in aggression, bo ...[more]

PMID: 27252189

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Project description:BackgroundPatients diagnosed with high risk localized prostate cancer have variable outcomes following surgery. Trials of intense neoadjuvant androgen deprivation therapy (NADT) have shown lower rates of recurrence among patients with minimal residual disease after treatment. The molecular features that distinguish exceptional responders from poor responders are not known.ObjectiveTo identify genomic and histologic features associated with treatment resistance at baseline.Design, setting, and participantsTargeted biopsies were obtained from 37 men with intermediate- to high-risk prostate cancer before receiving 6 mo of ADT plus enzalutamide. Biopsy tissues were used for whole-exome sequencing and immunohistochemistry (IHC).Outcome measurements and statistical analysisWe assessed the relationship of molecular features with final pathologic response using a cutpoint of 0.05 cm3 for residual cancer burden to compare exceptional responders to incomplete and nonresponders. We assessed intratumoral heterogeneity at the tissue and genomic level, and compared the volume of residual disease to the Shannon diversity index for each tumor. We generated multivariate models of resistance based on three molecular features and one histologic feature, with and without multiparametric magnetic resonance imaging estimates of baseline tumor volume.Results and limitationsLoss of chromosome 10q (containing PTEN) and alterations to TP53 were predictive of poor response, as were the expression of nuclear ERG on IHC and the presence of intraductal carcinoma of the prostate. Patients with incompletely and nonresponding tumors harbored greater tumor diversity as estimated via phylogenetic tree reconstruction from DNA sequencing and analysis of IHC staining. Our four-factor binary model (area under the receiver operating characteristic curve [AUC] 0.89) to predict poor response correlated with greater diversity in our cohort and a validation cohort of 57 Gleason score 8-10 prostate cancers from The Cancer Genome Atlas. When baseline tumor volume was added to the model, it distinguished poor response to NADT with an AUC of 0.98. Prospective use of this model requires further retrospective validation with biopsies from additional trials.ConclusionsA subset of prostate cancers exhibit greater histologic and genomic diversity at the time of diagnosis, and these localized tumors have greater fitness to resist therapy.Patient summarySome prostate cancer tumors do not respond well to a hormonal treatment called androgen deprivation therapy (ADT). We used tumor volume and four other parameters to develop a model to identify tumors that will not respond well to ADT. Treatments other than ADT should be considered for these patients.

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Gonads and the evolution of hormonal phenotypes.

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Gonads and the evolution of hormonal phenotypes.

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