# Respiratory microbiomes reflect whale health

**Authors:** Carolyn A Miller, Enrico Pirotta, Sharon Grim, Michael J Moore, John W Durban, Peter L Tyack, Holly Fearnbach, Samantha G M Leander, Amy R Knowlton, Amy M Warren, Monica A Zani, Regina Asmutis-Silvia, Heather M Pettis, Amy Apprill

PMC · DOI: 10.1093/ismejo/wraf231 · The ISME Journal · 2025-11-12

## TL;DR

This study shows that the microbes in whale breath can reveal important health information about endangered North Atlantic right whales.

## Contribution

The study introduces a non-invasive method using respiratory microbiomes and health metrics to assess whale health.

## Key findings

- Respiratory microbiome data significantly correlate with health metrics like body condition in North Atlantic right whales.
- Distinct bacterial taxa are associated with whales of different health statuses, including potential pathogens and lipid-rich environment taxa.
- Non-invasive drone-based sampling combined with microbiome analysis is effective for whale health assessment.

## Abstract

As important members of the marine ecosystem, baleen whales are frequently managed and protected, but methodology to assess their health remains limited. Recent technological advances, such as the use of drones, support the non-invasive collection of promising health-associated data, including respiratory exhalant microbiota. Here, we considered five health metrics paired with respiratory exhalant samples to examine the utility of characterizing respiratory microorganisms for health diagnostics of North Atlantic right whales (Eubalaena glacialis), one of the most endangered baleen whale species. In 2016–2024, we used drones to collect 103 exhalant samples from 85 individuals to examine the associated microbiome, using amplicon sequencing methods targeting bacteria and archaea. The health status of sampled whales was characterized using an index of body condition derived from full-body vertical drone images, three qualitative assessments obtained from photo-identification imagery, and an existing health and vital rates model. Using an elastic net penalized regression approach, we demonstrate significant relationships between these health metrics and respiratory-associated microorganisms. Bacterial taxa that significantly contributed to the model for the body condition index differed between the thinnest and most robust males in the dataset. The thin whale harbored taxa belonging to the same genus as mammalian pathogens, Clostridium and Peptoniphilus, whereas the robust whale harbored taxa commonly observed in lipid-rich environments, Sediminispirochaeta and Candidatus Gracilibacteria. These differences warrant further investigation into the mechanisms by which bacteria contribute to whale health. Our findings demonstrate the utility of non-invasive multi-metric health models that include respiratory exhalant microbiota for whale health assessment and management.

## Linked entities

- **Species:** Eubalaena glacialis (taxon 27606)

## Full-text entities

- **Chemicals:** lipid (MESH:D008055)
- **Species:** Bacteria Latreille et al. 1825 (Bacteria stick insect, genus) [taxon 629395], Sediminispirochaeta (genus) [taxon 1911556], Mysticeti (baleen whales, parvorder) [taxon 9761], Cetacea (cetaceans, infraorder) [taxon 9721], Homo sapiens (human, species) [taxon 9606], Candidatus Altimarinota (phylum) [taxon 363464], Clostridium (genus) [taxon 1485], Eubalaena glacialis (North Atlantic right whale, species) [taxon 27606], Peptoniphilus (genus) [taxon 162289]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12599319/full.md

## References

19 references — full list in the complete paper: https://tomesphere.com/paper/PMC12599319/full.md

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Source: https://tomesphere.com/paper/PMC12599319