Polar Metabolite Profiles Distinguish Between Early and Severe Sub-Maintenance Nutritional States of Wild Bighorn Sheep

dc.contributor.authorO’Shea-Stone, Galen
dc.contributor.authorTripet, Brian
dc.contributor.authorThomson, Jennifer M.
dc.contributor.authorGarrott, Robert A.
dc.contributor.authorCopié, Valérie
dc.date.accessioned2025-10-14T17:37:49Z
dc.date.issued2025-02
dc.description.abstractBackground: Understanding the metabolic adaptations of wild bighorn sheep (Ovis c. canadensis) to nutritional stress is crucial for their conservation. Methods: This study employed 1H nuclear magnetic resonance (NMR) metabolomics to investigate the biochemical responses of these animals to varying sub-maintenance nutritional states. Serum samples from 388 wild bighorn sheep collected between 2014 and 2017 from December (early sub-maintenance) through March (severe sub-maintenance) across Wyoming and Montana were analyzed. Multivariate statistics and machine learning analyses were employed to identify characteristic metabolic patterns and metabolic interactions between early and severe sub-maintenance nutritional states. Results: Significant differences were observed in the levels of 15 of the 49 quantified metabolites, including formate, thymine, glucose, choline, and others, pointing to disruptions in one-carbon, amino acid, and central carbon metabolic pathways. These metabolites may serve as indicators of critical physiological processes such as nutritional intake, immune function, energy metabolism, and protein catabolism, which are essential for understanding how wild bighorn sheep adapt to nutritional stress. Conclusions: This study has generated valuable insights into molecular networks underlying the metabolic resilience of wild bighorn sheep, highlighting the potential for using specific biochemical markers to evaluate nutritional and energetic states in free-ranging ungulates. These insights may help wildlife managers and ecologists compare populations across different times in seasonal cycles, providing information to assess the adequacy of seasonal ranges and support conservation efforts. This research strengthens our understanding of metabolic adaptations to environmental stressors in wild ruminants, offering a foundation for improving management practices to maintain healthy bighorn sheep populations.
dc.identifier.citationO’Shea-Stone G, Tripet B, Thomson J, Garrott R, Copié V. Polar Metabolite Profiles Distinguish Between Early and Severe Sub-Maintenance Nutritional States of Wild Bighorn Sheep. Metabolites. 2025; 15(3):154. https://doi.org/10.3390/metabo15030154
dc.identifier.doi10.3390/metabo15030154
dc.identifier.issn2218-1989
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/19500
dc.language.isoen_US
dc.publisherMDPI AG
dc.rightscc-by
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectenvironmental metabolomics
dc.subjectnuclear magnetic resonance spectroscopy
dc.subjectmultivariate statistical analysis
dc.subjectnutritional variance
dc.subjectmachine learning
dc.subjectwildlife nutrition
dc.subjectconservation ecology
dc.subjectwild bighorn sheep
dc.titlePolar Metabolite Profiles Distinguish Between Early and Severe Sub-Maintenance Nutritional States of Wild Bighorn Sheep
dc.typeArticle
mus.citation.extentfirstpage1
mus.citation.extentlastpage22
mus.citation.issue3
mus.citation.journaltitleMetabolites
mus.citation.volume15
mus.relation.collegeCollege of Letters & Science
mus.relation.departmentChemistry & Biochemistry
mus.relation.universityMontana State University - Bozeman

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