Published May 6, 2021 | Version v1
Dataset Open

Relationships between avian malaria resilience and corticosterone, testosterone and prolactin in a Hawaiian songbird

  • 1. University of California, Davis
  • 2. University of Nevada Reno
  • 3. Wittenberg University
  • 4. Centre d'Etudes Biologiques de Chizé

Description

Glucocorticoids, androgens, and prolactin regulate metabolism and reproduction, but they also play critical roles in immunomodulation. Since the introduction of avian malaria to Hawaii a century ago, low elevation populations of the Hawaii Amakihi (Chlorodrepanis virens) that have experienced strong selection by avian malaria have evolved increased resilience (the ability to recover from infection), while high elevation populations that have undergone weak selection remain less resilient. We investigated how variation in malaria selection has affected corticosterone, testosterone, and prolactin hormone levels in Amakihi during the breeding season. We predicted that baseline corticosterone and testosterone (which have immunosuppressive functions) would be reduced in low elevation and malaria-infected birds, while stress-induced corticosterone and prolactin (which have immunostimulatory functions) would be greater in low elevation and malaria-infected birds. As predicted, prolactin was significantly higher in malaria-infected than uninfected females (although more robust sample sizes would help to confirm this relationship), while testosterone trended higher in malaria-infected than uninfected males and, surprisingly, neither baseline nor stress-induced CORT varied with malaria infection. Contrary to our predictions, stress-induced corticosterone was significantly lower in low than high elevation birds while testosterone in males and prolactin in females did not vary by elevation, suggesting that Amakihi hormone modulation across elevation is determined by variables other than disease selection (e.g., timing of breeding, energetic challenges). Our results shed new light on relationships between introduced disease and hormone modulation, and they raise new questions that could be explored in experimental settings.

Notes

The corresponding AMAKIHIHORMONES_readme.txt file contains information about each variable included in the dataset, including units, how it was obtained and/or how it was calculated. NA represents data that is not available. Additional information about how data was obtained can be found in the corresponding manuscript.

Funding provided by: Achievement Rewards for College Scientists Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100008227
Award Number: ARCS Fellowship

Funding provided by: University of California Davis
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100007707
Award Number: Richard G. Cost Wildlife Research Award

Funding provided by: Explorers Club
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100007707
Award Number: Exploration Fund Grant

Funding provided by: American Museum of Natural History
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100005835
Award Number: Frank M. Chapman Memorial Fund

Funding provided by: Office for Science and Technology of the Embassy of France in the United States
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100015488
Award Number: Chateaubriand Fellowship

Funding provided by: University of California Davis
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100007707
Award Number: Graduate Research Mentorship Fellowship

Funding provided by: University of California Davis
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100007707
Award Number: Endowed Chair in Physiology to John C. Wingfield

Funding provided by: Centre National de la Recherche Scientifique
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100004794
Award Number: NA

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