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Journal of veterinary internal medicine2025; 39(3); e70082; doi: 10.1111/jvim.70082

Equine Blood Microbiome in a Cohort of Clinically Healthy Trail Riding Horses.

Abstract: Emerging research suggests the presence of a blood microbiome in clinically healthy individuals. Characterizing bacterial composition and abundance in blood from a group of healthy horses is of clinical interest. Objective: Horses in a closed herd environment will have blood microbiomes with similarities among individuals. Methods: Twenty trail-riding horses of different breeds and ages living in relative isolation on a dry lot pasture in Colorado at 7680 ft elevation. Methods: Cross-sectional study. Blood was collected from the jugular vein into serum, blood collection, and EDTA tubes. Samples were submitted to external laboratories for microbiome analysis and routine blood tests (CBC, serum biochemistry). Results: Venous blood is not sterile in healthy horses. A total of 293 bacterial genera were identified in these samples, whereas most horses had 55 to 70 genera. The most dominant taxa were Gardnerella, Sporomusaceae, Kapabacteriales, Beijerinckiaceae, and Phascolarctobacterium. Principal coordinate analysis, investigating microbial structure diversity, identified large variability with no obvious clustering, indicating dissimilarity among bacterial populations in different horses. All blood samples contained genera with pathogenic potential for horses, such as Bacteroides spp., Clostridium spp., Peptostreptococcus spp., Streptococcus spp., and Staphylococcus spp. Conclusions: Clinically healthy horses had a diverse blood microbiome. Despite the relative isolation of the horses, their blood microbiota varied markedly among individuals. Investigating the bacteria in clinically healthy horse blood provides new insight into possible microbiome shifts that may result in clinical disease.
Publication Date: 2025-04-01 PubMed ID: 40167194PubMed Central: PMC11959627DOI: 10.1111/jvim.70082Google Scholar: Lookup
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  • Journal Article

Summary

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The study explores the existence and composition of a blood microbiome in healthy horses, revealing a diverse bacterial presence with significant variability between individual animals despite their shared environment.

Objective

  • The objective of the study was to analyze and characterize the composition and abundance of bacteria in the blood of healthy horses, operating under the hypothesis that horses living in a closed herd environment would share similar blood microbiomes.

Methods

  • Samples were obtained from twenty trail-riding horses of different breeds and ages living together in a relatively isolated area in Colorado.
  • Blood was drawn from these horses from the jugular vein and put into serum, blood collection, and EDTA tubes.
  • These samples were subsequently sent to external labs for microbiome analysis as well as routine blood tests, which included serum biochemistry and a complete blood count (CBC).

Results

  • The research revealed that the blood of healthy horses is not sterile, finding 293 bacterial genera, with each horse usually having 55 to 70.
  • The dominant taxa among these bacteria were Gardnerella, Sporomusaceae, Kapabacteriales, Beijerinckiaceae, and Phascolarctobacterium.
  • Analysis of the diversity of microbial structure indicated significant variability with no apparent clustering, suggesting that despite the shared environment, the bacterial populations in the different horses were dissimilar.
  • All samples also contained some bacteria with pathogenic potential for horses, including Bacteroides spp., Clostridium spp., Peptostreptococcus spp., Streptococcus spp., and Staphylococcus spp.

Conclusions

  • The conclusions drawn from this study suggest that even clinically healthy horses possess a diverse blood microbiome, varying markedly among individuals in spite of their relative isolation.
  • This new information on the bacteria present in the blood of healthy horses could provide valuable insights into potential shifts in the microbiome that could lead to clinical disease.

Cite This Article

APA
Simms N, Bertone JJ, Melgarejo T, O'Shea C, Linde A. (2025). Equine Blood Microbiome in a Cohort of Clinically Healthy Trail Riding Horses. J Vet Intern Med, 39(3), e70082. https://doi.org/10.1111/jvim.70082

Publication

ISSN: 1939-1676
NlmUniqueID: 8708660
Country: United States
Language: English
Volume: 39
Issue: 3
Pages: e70082

Researcher Affiliations

Simms, Noel
  • Western University of Health Sciences, College of Veterinary Medicine, Pomona, California, USA.
Bertone, Joseph J
  • Western University of Health Sciences, College of Veterinary Medicine, Pomona, California, USA.
Melgarejo, Tonatiuh
  • Western University of Health Sciences, College of Veterinary Medicine, Pomona, California, USA.
O'Shea, Caitlin
  • Western University of Health Sciences, College of Veterinary Medicine, Pomona, California, USA.
  • Mississippi State University, College of Veterinary Medicine, Starkville, Mississippi, USA.
Linde, Annika
  • Western University of Health Sciences, College of Veterinary Medicine, Pomona, California, USA.

MeSH Terms

  • Animals
  • Horses / blood
  • Horses / microbiology
  • Cross-Sectional Studies
  • Microbiota
  • Male
  • Female
  • Bacteria / classification
  • Bacteria / isolation & purification
  • Bacteria / genetics
  • Cohort Studies

Grant Funding

  • WesternU True One Medicine Initiative

Conflict of Interest Statement

Authors declare no off‐label use of antimicrobials. The authors declare no conflicts of interest.

References

This article includes 28 references
  1. Whittle E, Leonard MO, Harrison R, Gant TW, Tonge DP. Multi‐Method Characterization of the Human Circulating Microbiome. Frontiers in Microbiology 9 (2018): 3266.
    doi: 10.3389/fmicb.2018.03266pmc: PMC6345098pubmed: 30705670google scholar: lookup
  2. Qiu J, Zhou H, Jing Y, Dong C. Association Between Blood Microbiome and Type 2 Diabetes Mellitus: A Nested Case‐Control Study. Journal of Clinical Laboratory Analysis 33, no. 4 (2019): e22842.
    doi: 10.1002/jcla.22842pmc: PMC6528574pubmed: 30714640google scholar: lookup
  3. Scarsella E, Sandri M, Monego SD, Licastro D, Stefanon B. Blood Microbiome: A New Marker of Gut Microbial Population in Dogs?. Veterinary Sciences 7, no. 4 (2020): 198.
    doi: 10.3390/vetsci7040198pmc: PMC7761930pubmed: 33291629google scholar: lookup
  4. Scarsella E, Zecconi A, Cintio M, Stefanon B. Characterization of Microbiome on Feces, Blood and Milk in Dairy Cows With Different Milk Leucocyte Pattern. Animals 11, no. 5 (2021): 1463.
    doi: 10.3390/ani11051463pmc: PMC8160755pubmed: 34069719google scholar: lookup
  5. Vientós‐Plotts AI, Ericsson AC, Rindt H. Dynamic Changes of the Respiratory Microbiota and Its Relationship to Fecal and Blood Microbiota in Healthy Young Cats. PLoS One 12, no. 3 (2017): e0173818.
  6. Kauter A, Epping L, Semmler T. The Gut Microbiome of Horses: Current Research on Equine Enteral Microbiota and Future Perspectives. Animal Microbiome 1, no. 1 (2019): 1–15.
    doi: 10.1186/s42523-019-0013-3pmc: PMC7807895pubmed: 33499951google scholar: lookup
  7. Townsend KS, Johnson PJ, LaCarrubba AM, Martin LM, Ericsson AC. Exodontia Associated Bacteremia in Horses Characterized by Next Generation Sequencing. Scientific Reports 11, no. 1 (2021): 6314.
    doi: 10.1038/s41598-021-85484-zpmc: PMC7973801pubmed: 33737590google scholar: lookup
  8. Scott BD, Martin M. Understanding Vital Life Signs in Horses. 2020.
  9. Wensel CR, Pluznick JL, Salzberg SL, Sears CL. Next‐Generation Sequencing: Insights to Advance Clinical Investigations of the Microbiome. Journal of Clinical Investigation 132, no. 7 (2022): 1–12.
    doi: 10.1172/JCI154944pmc: PMC8970668pubmed: 35362479google scholar: lookup
  10. Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP. DADA2: High‐Resolution Sample Inference From Illumina Amplicon Data. Nature Methods 13, no. 7 (2016): 581–583.
    doi: 10.1038/nmeth.3869pmc: PMC4927377pubmed: 27214047google scholar: lookup
  11. Callahan BJ, Sankaran K, Fukuyama JA, McMurdie PJ, Holmes SP. Bioconductor Workflow for Microbiome Data Analysis: From Raw Reads to Community Analyses. F1000Research 5 (2016): 1–49.
  12. Martin M. Cutadapt Removes Adapter Sequences From High‐Throughput Sequencing Reads. EMBnet.Journal 17, no. 1 (2011): 10.
    doi: 10.14806/ej.17.1.200google scholar: lookup
  13. Wickham H. ggplot2: Elegant Graphics for Data Analysis. Springer‐Verlag, 2016.
  14. Oksansen J, Blanchet FG, Friendly M. vegan: Community Ecology Package. R Package Version 2.5–4. 2019.
  15. de Bruijne K, Ebersviller S, Sexton KG. Design and Testing of Electrostatic Aerosol In Vitro Exposure System (EAVES): An Alternative Exposure System for Particles. Inhalation Toxicology 21, no. 2 (2009): 91–101.
    doi: 10.1080/08958370802166035pubmed: 18800273google scholar: lookup
  16. Diakakis N, Tyrnenopoulou P, Dimitrakopoulou F, Koutinas C, Patsikas M. A Case of Bacteremia due to Peptostreptococcus anaerobius in a Westphalian Stallion. Journal of Equine Veterinary Science 49 (2017): 14–18.
  17. Ericsson AC, Johnson PJ, Lopes MA, Perry SC, Lanter HR. A Microbiological Map of the Healthy Equine Gastrointestinal Tract. PLoS One 11, no. 11 (2016): e0166523.
  18. Martineau M, Castagnet S, Kokabi E. Detection of Mycoplasma Spp. in Horses With Respiratory Disorders. Equine Veterinary Journal 55, no. 5 (2023): 747–754.
    doi: 10.1111/evj.13918pubmed: 36572918google scholar: lookup
  19. Morrison PK, Newbold CJ, Jones E. The Equine Gastrointestinal Microbiome: Impacts of Age and Obesity. Frontiers in Microbiology 9 (2018): 1–13.
    doi: 10.3389/fmicb.2018.03017pmc: PMC6293011pubmed: 30581426google scholar: lookup
  20. Ovesen AL, Riihimäki M, Båverud V, Pringle M. Antimicrobial Susceptibility of Bacteroides Spp. From Clinical Samples From Horses. Journal of Equine Veterinary Science 45 (2016): 46–52.
  21. Paruch L, Paruch AM. Molecular Identification of Infectious Enteropathogens in Faeces of Healthy Horses. Microbiology Insights 15 (2022): 117863612210890.
    doi: 10.1177/11786361221089005pmc: PMC9008849pubmed: 35431557google scholar: lookup
  22. Stout AE, Hofmar-Glennon HG, André NM. Infectious Disease Surveillance of Apparently Healthy Horses at a Multi‐Day Show Using a Novel Nanoscale Real‐Time PCR Panel. Journal of Veterinary Diagnostic Investigation 33, no. 1 (2021): 80–86.
    doi: 10.1177/1040638720972096pmc: PMC7758683pubmed: 33179576google scholar: lookup
  23. U.S. Centers for Disease Control and Prevention. Infectious Diseases. National Center for Emerging and Zoonotic Infectious Diseases. 2024.
  24. Uzal FA, Navarro MA, Asin J, Henderson EE. Clostridial Diseases of Horses: A Review. Vaccine 10, no. 2 (2022): 318.
    doi: 10.3390/vaccines10020318pmc: PMC8876495pubmed: 35214776google scholar: lookup
  25. Ikhuoso OA, Monroy JC, Rivas-Caceres RR, Cipriano-Salazar M, Barbabosa Pliego A. Streptococcus equi in Equine: Diagnostic and Healthy Performance Impacts. Journal of Equine Veterinary Science 85 (2020): 102870.
    doi: 10.1016/j.jevs.2019.102870pubmed: 31952639google scholar: lookup
  26. Anderson MEC, Lefebvre SL, Rankin SC. Retrospective Multicentre Study of Methicillin‐Resistant Staphylococcus aureus Infections in 115 Horses. Equine Veterinary Journal 41, no. 4 (2009): 401–405.
    doi: 10.2746/042516408X345134pubmed: 19562904google scholar: lookup
  27. Castillo DJ, Rifkin RF, Cowan DA, Potgieter M. The Healthy Human Blood Microbiome: Fact or Fiction?. Frontiers in Cellular and Infection Microbiology 9 (2019): 449041.
    doi: 10.3389/fcimb.2019.00148pmc: PMC6519389pubmed: 31139578google scholar: lookup
  28. Hodgson JL, Hughes KJ, Hodgson DR. Diagnosis of Bacterial Infections. Part 2: Bacterial Cultivation, Susceptibility Testing and Interpretation. Equine Veterinary Education 20, no. 12 (2008): 658–666.
    doi: 10.2746/095777308X387673google scholar: lookup