Amino acid δ15N values predict body condition status in a captive population of muskoxen
Data files
Sep 28, 2026 version files 163.91 KB
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README.md
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Savory_et_al_Muskox_d15N_Mass_other_data.csv
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Savory_et_al_MuskoxMassbyAge.csv
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Abstract
Measures of body condition, particularly protein balance, are important in understanding the health of wildlife populations but can be difficult or impossible to obtain from free-living animals. One potential biomarker, the δ15N value of bulk tissue, has had mixed success in predicting body condition. δ15N values of amino acids (AAs) have been shown to be more sensitive measures of trophic position than the bulk δ15N value and may also be more sensitive to changes in body condition. Here we evaluate AA δ15N values as a method to assess body condition using archived serum samples from a captive population of muskoxen (Ovibos moschatus) that had decreased mass resulting from feed that inadvertently provided marginal to deficient levels of several dietary trace elements. We predicted that AA δ15N values would be associated with deviations from expected body mass, and they would be more sensitive than bulk δ15N values. We evaluated several linear mixed-effect models with δ15N values of bulk serum, AAs, and other variables. In females, the δ15N values of glutamate/glutamine, leucine, aspartate/asparagine, and serine, plus pregnancy status, best predicted difference from expected mass; in males, the δ15N values of glutamate/glutamine, leucine, and proline best predicted difference from expected mass. Bulk δ15N values were not associated with the difference from expected mass. δ15N values of AAs have potential as a tool for researchers to evaluate body condition in animals.
Dataset DOI: 10.5061/dryad.rv15dv4pp
Description of the data and file structure
The file named "Savory_et_al_MuskoxMasssbyAge.csv" contains body mass data from captive muskoxen (from the University of Alaska Fairbanks, Robert G. White Large Animal Research Station) in known good physical condition by sex and age. Data contain measurement of individuals over various time spans. This data was used to build models of growth curves of female and male muskoxen. Please see the manuscript for further details.
The file named "Savory_et_al_Muskox_d15N_Mass_other_data.csv" contains several data fields from captive muskoxen (from the University of Alaska Fairbanks, Robert G. White Large Animal Research Station) from several individuals over different time spans. Specifically it contains biometric data such as mass (kg); difference of mass from expected mass (kg); sex; age; pregnancy, lactation, and castrated status; and nitrogen isotope data (as δ15N values in ‰) from blood serum including bulk serum, amino acids (aspartate/asparagine (Asx), glutamate/glutamine (Glx), leucine (Leu), phenylalanine (Phe), proline (Pro), serine (Ser), threonine (Thr), and valine (Val)). AA δ15N values are mean values from triple injections and also have SDs of these values. Please see the manuscript for further details.
Files and variables
File: Savory_et_al_MuskoxMassbyAge.csv
Description: Contains body mass data from captive muskoxen (from the University of Alaska Fairbanks, Robert G. White Large Animal Research Station) in known good physical condition by sex and age.
Variables
- ID: individual muskoxen identification number
- Sex: female or male
- Date: date when body measures were collected
- Mass-kg: body mass in kg
- Age-days: age of muskox in days
- Species: scientific species name
- Common Name: common English name
- Location: location where data was collected
File: Savory_et_al_Muskox_d15N_Mass_other_data.csv
Description: Contains several data fields from captive muskoxen.
Variables
- AnimalID: individual muskoxen identification number
- Species: scientific species name
- Common Name: common English name
- Birthdate: date of individual muskox birth
- Sex: female or male
- Date: date when body measures and blood serum were collected
- Season: Spring & Summer (May - July), Autumn (August - September), Early Winter (October - January), Late Winter (February - April). Seasons based off of known differences in life history (Barboza et al. 2006. Physiol Biochem Zool 79: 497-513)
- AgeClass: adult (≥ 5 years age for females; ≥ 6 years age for males); subadult (3-5 years of age for females; 3-6 years of age for males)
- Mass-kg: whole body mass in kg
- DiffEM-kg: difference between whole body mass and expected body mass for their age and sex; negative values are underweight individuals and positive values are overweight individuals
- Castrate: was individual castrated (yes or no); males only
- Pregnant: was individual pregnant (yes or no); females only
- Lactating: was individual lactating (yes or no); females only
- bulk_d15N: bulk δ15N value (‰) from blood serum
- Asx_d15N: δ15N value (‰) of aspartate/asparagine from blood serum (mean value of triple measure)
- Asx_d15N_SD: standard deviation of aspartate/asparagine δ15N values
- Leu_d15N: δ15N value (‰) of leucine from blood serum (mean value of triple measure)
- Leu_d15N_SD: standard deviation of leucine δ15N values
- Glx_d15N: δ15N value (‰) of glutamate/glutamine from blood serum (mean value of triple measure)
- Glx_d15N_SD: standard deviation of glutamate/glutamine δ15N values
- Phe_d15N: δ15N value (‰) of phenylalanine from blood serum (mean value of triple measure)
- Phe_d15N_SD: standard deviation of phenylalanine δ15N values
- Pro_d15N: δ15N value (‰) of proline from blood serum (mean value of triple measure)
- Pro_d15N_SD: standard deviation of proline δ15N values
- Ser_d15N: δ15N value (‰) of serine from blood serum (mean value of triple measure)
- Ser_d15N_SD: standard deviation of serine δ15N values
- Thr_d15N: δ15N value (‰) of threonine from blood serum (mean value of triple measure)
- Thr_d15N_SD: standard deviation of threonine δ15N values
- Val_d15N: δ15N value (‰) of valine from blood serum (mean value of triple measure)
- Val_d15N_SD: standard deviation of valine δ15N values
- Location: location where biological measures and blood serum were collected
- Other Information: metadata relevant to this dataset
Code/software
Data is in .csv format. LibreOffice Calc, Apache OpenOffice Calc, and Microsoft 365 for the Web are free software that can open the file. Microsoft Excel also works.
Access information
Other publicly accessible locations of the data:
- NA
Data was derived from the following sources:
- NA
