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Noninvasive measures of physiological stress are confounded by exposure

Glucocorticoids and glucocorticoid metabolites are increasingly used to index physiological stress in wildlife. Although feces is often abundant and can be collected noninvasively, exposure to biotic and abiotic elements may influence fecal glucocorticoid metabolite (FGM) concentrations, leading to...

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Autores principales: Lafferty, Diana J. R., Zimova, Marketa, Clontz, Lindsay, Hackländer, Klaus, Mills, L. Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6915565/
https://www.ncbi.nlm.nih.gov/pubmed/31844125
http://dx.doi.org/10.1038/s41598-019-55715-5
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author Lafferty, Diana J. R.
Zimova, Marketa
Clontz, Lindsay
Hackländer, Klaus
Mills, L. Scott
author_facet Lafferty, Diana J. R.
Zimova, Marketa
Clontz, Lindsay
Hackländer, Klaus
Mills, L. Scott
author_sort Lafferty, Diana J. R.
collection PubMed
description Glucocorticoids and glucocorticoid metabolites are increasingly used to index physiological stress in wildlife. Although feces is often abundant and can be collected noninvasively, exposure to biotic and abiotic elements may influence fecal glucocorticoid metabolite (FGM) concentrations, leading to inaccurate conclusions regarding wildlife physiological stress. Using captive snowshoe hares (Lepus americanus) and simulated environmental conditions, we evaluated how different realistic field conditions and temporal sampling constraints might influence FGM concentrations using an 11-oxoetiocholanolone-enzyme immunoassay. We quantified how fecal pellet age (i.e., 0–6 days), variable summer temperatures, and precipitation affected FGM concentrations. Fecal pellet age had a strong effect on FGM concentrations (β(Age) = 0.395, s.d. = 0.085; β(2)(Age) = −0.061, s.d. = 0.012), which were lowest at the beginning and end of our exposure period (e.g., mean(day6) = 37.7 ng/mg) and typically highest in the middle (mean(day3) = 51.8 ng/mg). The effect of fecal pellet age on FGM concentrations varied across treatments with warm-dry and cool-wet conditions resulting in more variable FGM concentrations relative to control samples. Given the confounding effects of exposure and environmental conditions, if fresh fecal pellet collection is not an option, we encourage researchers to develop a temporally consistent sampling protocol to ensure all samples are exposed to similar environmental conditions.
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spelling pubmed-69155652019-12-18 Noninvasive measures of physiological stress are confounded by exposure Lafferty, Diana J. R. Zimova, Marketa Clontz, Lindsay Hackländer, Klaus Mills, L. Scott Sci Rep Article Glucocorticoids and glucocorticoid metabolites are increasingly used to index physiological stress in wildlife. Although feces is often abundant and can be collected noninvasively, exposure to biotic and abiotic elements may influence fecal glucocorticoid metabolite (FGM) concentrations, leading to inaccurate conclusions regarding wildlife physiological stress. Using captive snowshoe hares (Lepus americanus) and simulated environmental conditions, we evaluated how different realistic field conditions and temporal sampling constraints might influence FGM concentrations using an 11-oxoetiocholanolone-enzyme immunoassay. We quantified how fecal pellet age (i.e., 0–6 days), variable summer temperatures, and precipitation affected FGM concentrations. Fecal pellet age had a strong effect on FGM concentrations (β(Age) = 0.395, s.d. = 0.085; β(2)(Age) = −0.061, s.d. = 0.012), which were lowest at the beginning and end of our exposure period (e.g., mean(day6) = 37.7 ng/mg) and typically highest in the middle (mean(day3) = 51.8 ng/mg). The effect of fecal pellet age on FGM concentrations varied across treatments with warm-dry and cool-wet conditions resulting in more variable FGM concentrations relative to control samples. Given the confounding effects of exposure and environmental conditions, if fresh fecal pellet collection is not an option, we encourage researchers to develop a temporally consistent sampling protocol to ensure all samples are exposed to similar environmental conditions. Nature Publishing Group UK 2019-12-16 /pmc/articles/PMC6915565/ /pubmed/31844125 http://dx.doi.org/10.1038/s41598-019-55715-5 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Lafferty, Diana J. R.
Zimova, Marketa
Clontz, Lindsay
Hackländer, Klaus
Mills, L. Scott
Noninvasive measures of physiological stress are confounded by exposure
title Noninvasive measures of physiological stress are confounded by exposure
title_full Noninvasive measures of physiological stress are confounded by exposure
title_fullStr Noninvasive measures of physiological stress are confounded by exposure
title_full_unstemmed Noninvasive measures of physiological stress are confounded by exposure
title_short Noninvasive measures of physiological stress are confounded by exposure
title_sort noninvasive measures of physiological stress are confounded by exposure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6915565/
https://www.ncbi.nlm.nih.gov/pubmed/31844125
http://dx.doi.org/10.1038/s41598-019-55715-5
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