# Out of the shed and into the field: an immune toolkit for measuring wild ungulate immune phenotypes at multiple scales

**Authors:** Luke Weinstein, Brian P Dolan, Holly K Arnold, Sara Carpenter, Leigh Combrink, Clinton W Epps, Jennifer L Johns, Emma Lantz, Brandon Munk, Shannon Phelps, Paige Prentice, Nicholas Shirkey, Marci Witczak, Anna E Jolles, Brianna R Beechler

PMC · DOI: 10.1093/discim/kyag001 · 2026-03-05

## TL;DR

This paper introduces a new immune toolkit to measure immune responses in wild bighorn sheep across different levels, from individuals to entire populations.

## Contribution

The paper presents a novel field-tested immune toolkit for assessing immunological variation in wild ungulates at multiple scales.

## Key findings

- Most immunological traits showed significant variation at both metapopulation and individual levels.
- The toolkit identified two main axes of immune response segregation: innate vs. adaptive immunity and inflammatory states.
- Age and sex of bighorn sheep influenced immune response patterns.

## Abstract

Understanding factors that shape immune responses in wild animals is critical to predicting population resilience and long-term persistence. Immune function modifies the survival of individuals facing infectious disease, trauma, and environmental stressors, yet remains understudied. An individual’s immune response is shaped not only by current and historic pathogen exposures but is mediated by both individual (e.g. host genetics, metabolic plane, age, and sex) and population-level (e.g. population size, density, and connectivity) factors. Bighorn sheep (Ovis canadensis, bighorn) occupy populations of varying sizes, nested within larger metapopulations, creating a hierarchical structure. This organization provides a useful framework to understand how immune parameters vary across individual, population, and metapopulation levels. Unfortunately, measurement of immune parameters in ungulates is limited.

To address this limitation, we measured 18 immunologic traits across 581 wild bighorn to evaluate this toolkit’s ability to detect immunological differences between individuals, populations, and metapopulations.

Most immunological phenotypes illustrated significant variation at the metapopulation level and individual level. Our assays revealed immune phenotypic variation consistent with two main axes of segregation—one that distinguished tradeoffs in bighorn innate versus adaptive immune responses, and another reflecting alternative inflammatory states, defined by distinct cytokine patterns. Bighorn age and sex also mediated immune response patterns.

Our immunological toolkit sets the stage to further clarify landscape-level immunological variation in wild ungulate populations and provides a template for deploying integrative eco-immunological tools in any natural population to further understand wildlife health.

Here we demonstrate the utility of our field-tested “immune toolkit” in describing the immune phenotypic heterogeneity of bighorn sheep (Ovis Canadensis) across individuals and large spatial scales within California.

Graphical AbstractFor image description, please refer to the figure legend and surrounding text.

## Linked entities

- **Species:** Ovis canadensis (taxon 37174), Ovis canadensis (taxon 37174)

## Full-text entities

- **Genes:** IL17A (interleukin 17A) [NCBI Gene 3605] {aka CTLA-8, CTLA8, IL-17, IL-17A, IL17, ILA17}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, IL4 (interleukin 4) [NCBI Gene 3565] {aka BCGF-1, BCGF1, BSF-1, BSF1, IL-4}, IFNG (interferon gamma) [NCBI Gene 3458] {aka IFG, IFI, IMD69}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, IL10 (interleukin 10) [NCBI Gene 3586] {aka CSIF, GVHDS, IL-10, IL10A, TGIF}
- **Diseases:** PCoA (MESH:D001259), Death (MESH:D003643), PAMPS (MESH:C567116), infection (MESH:D007239), Death Valley (MESH:D003047), chronic (MESH:D002908), Infectious Disease (MESH:D003141), DAMPS (MESH:D000081030), fungal infections (MESH:D009181), GLM (MESH:D005910), injuries (MESH:D014947), chronic inflammation (MESH:D007249), Hills (MESH:D000070896), microbial infections (MESH:D015163), fever (MESH:D005334)
- **Chemicals:** sodium (MESH:D012964), Aim-V (-), LPA (MESH:D010649), LPS (MESH:D008070), Alamar blue (MESH:C005843), sodium heparin (MESH:D006493), Trypan blue (MESH:D014343), EDTA (MESH:D004492), nitrogen (MESH:D009584), testosterone (MESH:D013739)
- **Species:** Ovis canadensis sierrae (Sierra Nevada bighorn sheep, subspecies) [taxon 1047176], Homo sapiens (human, species) [taxon 9606], Bacteria Latreille et al. 1825 (Bacteria stick insect, genus) [taxon 629395], Ovis canadensis (bighorn sheep, species) [taxon 37174], Escherichia coli (E. coli, species) [taxon 562], Ovis canadensis nelsoni (desert bighorn sheep, subspecies) [taxon 112261], Mus musculus (house mouse, species) [taxon 10090], Ovis aries (domestic sheep, species) [taxon 9940]

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12961423/full.md

---
Source: https://tomesphere.com/paper/PMC12961423