Analyze Diet
Equine veterinary journal2026; doi: 10.1002/evj.70222

Diagnosis of bacteraemia in neonatal foals using 16S rRNA high-throughput sequencing.

Abstract: Sepsis is an important cause of morbidity and mortality in foals. Early diagnosis can improve outcome but is complicated by non-specific clinical signs and delayed confirmation of infection via blood culture. Molecular assays represent a rapid and more sensitive alternative. Objective: To evaluate and compare bacterial load and composition in blood and blood culture media (BCM) of sick and healthy foals using molecular assays and to compare results with traditional bacterial culture. Methods: Cross-sectional observational clinical study. Methods: Thirteen septic foals, 10 sick non-septic and 8 healthy foals were included. Bacterial load and composition from whole blood (WB), pre-enriched BCM and contamination controls were analysed by quantitative PCR and sequencing of the universal bacterial 16S rRNA marker gene. Results: WB sequencing yielded more positive samples (25/31) than BCM (6/62; p < 0.01). Positive blood culture and WB sequencing were comparable in only 3/12 foals. Sequencing samples were at high potential for contamination, with most samples having high relative abundances (RAs) of Paucibacter and Ralstonia. High RAs of Actinobacillus and Staphylococcus in septic foals may, however, suggest true pathogen detection. No significant differences in bacterial RAs, 16S rRNA gene load (qPCR), or other sequencing-based metrics were found between foal groups and between WB and contamination controls. Conclusions: Inherent inaccuracies of classification schemes for septic and sick non-septic foals and the impact of contamination when sequencing low biomass samples. Conclusions: High-throughput sequencing represents a possible avenue for the diagnosis of bacteraemia in foals but has high potential for environmental and extraction-related contamination and cannot replace blood culture at this time. Further research to optimise detection yield and sensitivity on WB samples is warranted.
Publication Date: 2026-07-01 PubMed ID: 42381558DOI: 10.1002/evj.70222Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

Overview

  • This study investigates the use of 16S rRNA high-throughput sequencing to diagnose bacteraemia (bacterial infection in the bloodstream) in neonatal foals, comparing its effectiveness and bacterial detection with traditional blood culture methods and molecular assays.

Background and Objective

  • Sepsis is a leading cause of illness and death in newborn foals.
  • Early and accurate detection of sepsis is challenging due to:
    • Non-specific symptoms
    • Delayed results from conventional blood cultures
  • Molecular assays, such as sequencing of the universal bacterial 16S rRNA gene, are promising for faster and potentially more sensitive diagnosis.
  • The primary objective was to:
    • Evaluate bacterial load and composition in whole blood (WB) and blood culture media (BCM) of sick and healthy foals using molecular methods
    • Compare results with traditional bacterial culture outcomes

Methods

  • Study design: Cross-sectional observational clinical study.
  • Participants:
    • 13 septic foals (with suspected or confirmed sepsis)
    • 10 sick but non-septic foals
    • 8 healthy foals (controls)
  • Sample types analyzed:
    • Whole blood (WB)
    • Pre-enriched blood culture media (BCM)
    • Contamination controls (to assess background noise and contaminants)
  • Analytical methods:
    • Quantitative PCR (qPCR) for measuring bacterial 16S rRNA gene load
    • High-throughput sequencing of the universal bacterial 16S rRNA gene to identify bacterial species present
    • Traditional bacterial culture to compare pathogen detection

Key Findings

  • Whole blood sequencing detected bacterial DNA in a significantly higher number of samples (25 out of 31) compared to blood culture media (6 out of 62), suggesting higher sensitivity of sequencing in direct blood samples.
  • There was limited concordance between positive blood cultures and sequencing results; only 3 out of 12 foals tested positive by both methods, indicating potential discrepancies.
  • High relative abundance (RA) of bacteria commonly associated with contamination, such as Paucibacter and Ralstonia species, was found in many sequencing samples.
  • Some foals, particularly septic ones, showed higher RAs of likely pathogenic bacteria such as Actinobacillus and Staphylococcus, suggesting true infection detection in those cases.
  • No significant differences were found between foal groups (septic, non-septic sick, healthy) or between whole blood samples and contamination controls based on:
    • Bacterial relative abundances
    • Quantitative 16S rRNA gene loads
    • Other sequencing-based diversity or abundance metrics

Interpretation and Limitations

  • Challenges in precisely classifying foals as septic vs. non-septic complicate the interpretation of sequencing results.
  • Sequencing low-biomass samples like blood is prone to contamination from:
    • Environmental sources
    • DNA extraction procedures
  • This contamination can obscure true infection signals and generate false-positive results.
  • Conventional blood culture, although slower and possibly less sensitive, remains the gold standard for diagnosing bacteraemia in foals for now.

Conclusions and Future Directions

  • High-throughput 16S rRNA gene sequencing shows promise as a diagnostic tool for detecting bacteraemia in neonatal foals due to its rapidity and sensitivity.
  • However, current methodologies are limited by contamination risks and lack of perfect correlation with blood cultures.
  • Further method development is needed to:
    • Reduce contamination effectively
    • Improve specificity and sensitivity for detecting true pathogens directly from whole blood
    • Enhance clinical classification criteria to better distinguish septic from non-septic foals

Cite This Article

APA
Payette F, Long AE, Hu W, Bittinger K, Moustafa AM, Stefanovski D, Abraham M, Aitken MR. (2026). Diagnosis of bacteraemia in neonatal foals using 16S rRNA high-throughput sequencing. Equine Vet J. https://doi.org/10.1002/evj.70222

Publication

ISSN: 2042-3306
NlmUniqueID: 0173320
Country: United States
Language: English

Researcher Affiliations

Payette, Flavie
  • Department of Clinical Studies, New Bolton Center, University of Pennsylvania School of Veterinary Medicine, Kennett Square, Pennsylvania, USA.
Long, Alicia E
  • Department of Clinical Studies, New Bolton Center, University of Pennsylvania School of Veterinary Medicine, Kennett Square, Pennsylvania, USA.
Hu, Weiming
  • Division of Gastroenterology, Hepatology, and Nutrition, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Bittinger, Kyle
  • Division of Gastroenterology, Hepatology, and Nutrition, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Moustafa, Ahmed M
  • Division of Gastroenterology, Hepatology, and Nutrition, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Stefanovski, Darko
  • Department of Clinical Studies, New Bolton Center, University of Pennsylvania School of Veterinary Medicine, Kennett Square, Pennsylvania, USA.
Abraham, Michelle
  • Department of Clinical Studies, New Bolton Center, University of Pennsylvania School of Veterinary Medicine, Kennett Square, Pennsylvania, USA.
Aitken, Maia R
  • Department of Clinical Studies, New Bolton Center, University of Pennsylvania School of Veterinary Medicine, Kennett Square, Pennsylvania, USA.

Grant Funding

  • 580-5805-1-400666-XXXX-2000-5351 / Firestone/Tamworth/Raker-Tulleners Grant from the Department of Clinical Studies, New Bolton Center, University of Pennsylvania

References

This article includes 67 references
  1. Taylor S. A review of equine sepsis.. Equine Vet Educ 2015;27(2):99–109.
  2. Rhodes A, Evans LE, Alhazzani W, Levy MM, Antonelli M, Ferrer R. Surviving sepsis campaign: international guidelines for management of sepsis and septic shock: 2016.. Crit Care Med 2017;45(3):486–552.
  3. Singer M, Deutschman CS, Seymour CW, Shankar‐Hari M, Annane D, Bauer M. The third international consensus definitions for sepsis and septic shock (sepsis‐3).. JAMA 2016;315(8):801–810.
  4. Wong DM, Ruby RE, Dembek KA, Barr BS, Reuss SM, Magdesian KG. Evaluation of updated sepsis scoring systems and systemic inflammatory response syndrome criteria and their association with sepsis in equine neonates.. J Vet Intern Med 2018;32(3):1185–1193.
  5. Cecconi M, Evans L, Levy M, Rhodes A. Sepsis and septic shock.. Lancet 2018;392(10141):75–87.
  6. Wilkins PA, Wong D, Slovis NM, Collins N, Barr BS, MacKenzie C. The systemic inflammatory response syndrome and predictors of infection and mortality in 1068 critically ill newborn foals.. J Vet Intern Med 2025;39(2):e70004.
  7. Wilkins PA, Wong DM. Report from the 2024 Dorothy Russell Havemeyer working group meeting on consensus definitions for foal sepsis.. Equine Vet J 2025;57(3):536–539.
  8. Rutanga JP, Van Puyvelde S, Heroes AS, Muvunyi CM, Jacobs J, Deborggraeve S. 16S metagenomics for diagnosis of bloodstream infections: opportunities and pitfalls.. Expert Rev Mol Diagn 2018;18(8):749–759.
  9. Marsh PS, Palmer JE. Bacterial isolates from blood and their susceptibility patterns in critically ill foals: 543 cases (1991–1998).. J Am Vet Med Assoc 2001;218(10):1608–1610.
  10. Russell CM, Axon JE, Blishen A, Begg AP. Blood culture isolates and antimicrobial sensitivities from 427 critically ill neonatal foals.. Aust Vet J 2008;86(7):266–271.
  11. Colmer SF, Luethy D, Abraham M, Stefanovski D, Hurcombe SD. Utility of cell‐free DNA concentrations and illness severity scores to predict survival in critically ill neonatal foals.. PLoS One 2021;16(4):e0242635.
  12. Hytychová T, Bezděková B. Retrospective evaluation of blood culture isolates and sepsis survival rate in foals in The Czech Republic: 50 cases (2011–2013).. J Vet Emerg Crit Care (San Antonio) 2015;25(5):660–666.
  13. Weber EJ, Sanchez LC, Giguère S. Re‐evaluation of the sepsis score in equine neonates.. Equine Vet J 2015;47(3):275–278.
  14. Corley KTT, Furr MO. Evaluation of a score designed to predict sepsis in foals.. J Vet Emerg Crit Care 2003;13(3):149–155.
  15. Brewer BD, Koterba AM. Development of a scoring system for the early diagnosis of equine neonatal sepsis.. Equine Vet J 1988;20(1):18–22.
  16. Barr B, Nieman NM. Serum amyloid A as an aid in diagnosing sepsis in equine neonates.. Equine Vet J 2022;54(5):922–926.
  17. Zabrecky KA, Slovis NM, Constable PD, Taylor SD. Plasma C‐reactive protein and haptoglobin concentrations in critically ill neonatal foals.. J Vet Intern Med 2015;29(2):673–677.
  18. Hurcombe SD, Toribio RE, Slovis N, Hurcombe SDA, Kohn CW, Refsal K. Blood arginine vasopressin, adrenocorticotropin hormone, and cortisol concentrations at admission in septic and critically ill foals and their association with survival.. J Vet Intern Med 2008;22(3):639–647.
  19. Toth B, Slovis NM, Constable PD, Taylor SD. Plasma adrenomedullin concentrations in critically ill neonatal foals.. J Vet Intern Med 2014;28(4):1294–1300.
  20. Castagnetti C, Mariella J, Pirrone A, Cinotti S, Mari G, Peli A. Expression of interleukin‐1β, interleukin‐8, and interferon‐γ in blood samples obtained from healthy and sick neonatal foals.. Am J Vet Res 2012;73(9):1418–1427.
  21. Burton AB, Wagner B, Erb HN, Ainsworth DM. Serum interleukin‐6 (IL‐6) and IL‐10 concentrations in normal and septic neonatal foals.. Vet Immunol Immunopathol 2009;132(2–4):122–128.
  22. Birckhead EM, Raidal SL, Das S, Raidal SR. Increased plasma nucleosomes are associated with severe sepsis in foals.. Vet J 2025;309:106297.
  23. Pammi M, Flores A, Versalovic J, Leeflang MM. Molecular assays for the diagnosis of sepsis in neonates.. Cochrane Database Syst Rev 2017;2(2):Cd011926.
  24. Su G, Fu Z, Hu L, Wang Y, Zhao Z, Yang W. 16S ribosomal ribonucleic acid gene polymerase chain reaction in the diagnosis of bloodstream infections: a systematic review and meta‐analysis.. PLoS One 2015;10(5):e0127195.
  25. Wang Y, Zhao J, Yao Y, Yang L, Zhao D, Liu S. The accuracy of 16S rRNA polymerase chain reaction for the diagnosis of neonatal sepsis: a meta‐analysis.. Biomed Res Int 2021;2021:5550387.
  26. Watanabe N, Kryukov K, Nakagawa S, Takeuchi JS, Takeshita M, Kirimura Y. Detection of pathogenic bacteria in the blood from sepsis patients using 16S rRNA gene amplicon sequencing analysis.. PLoS One 2018;13(8):e0202049.
  27. Pusterla N, Mapes S, Byrne BA, Magdesian KG. Detection of bloodstream infection in neonatal foals with suspected sepsis using real‐time PCR.. Vet Rec 2009;165(4):114–117.
  28. Wong DM, Wilkins PA. Defining the systemic inflammatory response syndrome in equine neonates.. Vet Clin North Am Equine Pract 2015;31(3):463–481.
  29. Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, al‐Ghalith GA. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.. Nat Biotechnol 2019;37(8):852–857.
  30. Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJ, Holmes SP. DADA2: high‐resolution sample inference from Illumina amplicon data.. Nat Methods 2016;13(7):581–583.
  31. Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P. The SILVA ribosomal RNA gene database project: improved data processing and web‐based tools. Nucleic Acids Res 2013;41(Database issue):D590–D596.
  32. Bokulich NA, Kaehler BD, Rideout JR, Dillon M, Bolyen E, Knight R. Optimizing taxonomic classification of marker‐gene amplicon sequences with QIIME 2's q2‐feature‐classifier plugin. Microbiome 2018;6(1):90.
  33. Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol 2013;30(4):772–780.
  34. Lozupone C, Knight R. UniFrac: a new phylogenetic method for comparing microbial communities. Appl Environ Microbiol 2005;71(12):8228–8235.
  35. Lozupone CA, Hamady M, Kelley ST, Knight R. Quantitative and qualitative beta diversity measures lead to different insights into factors that structure microbial communities. Appl Environ Microbiol 2007;73(5):1576–1585.
  36. Anderson MJ. A new method for non‐parametric multivariate analysis of variance. Austral Ecol 2001;26(1):32–46.
  37. Bittinger K, Charlson ES, Loy E, Shirley DJ, Haas AR, Laughlin A. Improved characterization of medically relevant fungi in the human respiratory tract using next‐generation sequencing. Genome Biol 2014;15(10):487.
  38. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B Stat Methodol 1995;57(1):289–300.
  39. Karstens L, Asquith M, Davin S, Fair D, Gregory WT, Wolfe AJ. Controlling for contaminants in low‐biomass 16S rRNA gene sequencing experiments. mSystems 2019;4(4):e00290‐19.
  40. Peker N, Couto N, Sinha B, Rossen JW. Diagnosis of bloodstream infections from positive blood cultures and directly from blood samples: recent developments in molecular approaches. Clin Microbiol Infect 2018;24(9):944–955.
  41. Borriello G, Valentini F, Ferrini S, di Muro G, Cagnotti G, Grego E. Characterization of blood microbial population in beef calves with clinical signs of sepsis using 16S rRNA gene sequencing. PLoS One 2025;20(5):e0324469.
  42. Dawson S. Blood culture contaminants. J Hosp Infect 2014;87(1):1–10.
  43. Sanchez LC, Giguère S, Lester GD. Factors associated with survival of neonatal foals with bacteremia and racing performance of surviving thoroughbreds: 423 cases (1982‐2007). J Am Vet Med Assoc 2008;233(9):1446–1452.
  44. Bookbinder LC, Mani R, Carr EA. Antibiograms of field and hospital acquired equine neonatal bacterial fluid cultures in the Midwestern United States: 149 samples (2007–2018). J Vet Intern Med 2023;37:1193–1200.
  45. Giancola S, Hart KA. Equine blood cultures: can we do better?. Equine Vet J 2022;55(4):584–592.
  46. Hall KK, Lyman JA. Updated review of blood culture contamination. Clin Microbiol Rev 2006;19(4):788–802.
  47. Doern GV, Carroll KC, Diekema DJ, Garey KW, Rupp ME, Weinstein MP. Practical guidance for clinical microbiology laboratories: a comprehensive update on the problem of blood culture contamination and a discussion of methods for addressing the problem. Clin Microbiol Rev 2019;33(1):e00009‐19.
  48. Chappell‐Campbell L, Schwenk HT, Capdarest‐Arest N, Schroeder AR. Reporting and categorization of blood culture contaminants in infants and young children: a scoping review. J Pediatric Infect Dis Soc 2020;9(2):110–117.
  49. Dargère S, Cormier H, Verdon R. Contaminants in blood cultures: importance, implications, interpretation and prevention. Clin Microbiol Infect 2018;24(9):964–969.
  50. Bekeris LG, Tworek JA, Walsh MK, Valenstein PN. Trends in blood culture contamination: a College of American Pathologists Q‐tracks study of 356 institutions. Arch Pathol Lab Med 2005;129(10):1222–1225.
  51. Sautter RL, Parrott JS, Nachamkin I, Diel C, Tom RJ, Bobenchik AM. American Society for Microbiology evidence‐based laboratory medicine practice guidelines to reduce blood culture contamination rates: a systematic review and meta‐analysis. Clin Microbiol Rev 2024;37(4):e0008724.
  52. Adams MK, Hendrickson DA, Rao S, Olea Popelka F, Bolte D. The bacteria isolated from the skin of 20 horses at a veterinary teaching hospital. J Equine Vet Sci 2010;30(12):687–695.
  53. O'Shaughnessy‐Hunter LC, Yu A, Rousseau JD, Foster RA, Weese JS. Longitudinal study of the cutaneous microbiota of healthy horses. Vet Dermatol 2021;32(5):467‐e128.
  54. Strompfová V, Štempelová L. Composition and diversity of 16S rRNA based skin bacterial microbiome in healthy horses. Vet Res Commun 2024;48(4):2847–2855.
  55. Eisenhofer R, Minich JJ, Marotz C, Cooper A, Knight R, Weyrich LS. Contamination in low microbial biomass microbiome studies: issues and recommendations. Trends Microbiol 2019;27(2):105–117.
  56. Salter SJ, Cox MJ, Turek EM, Calus ST, Cookson WO, Moffatt MF. Reagent and laboratory contamination can critically impact sequence‐based microbiome analyses. BMC Biol 2014;12:87.
  57. Glassing A, Dowd SE, Galandiuk S, Davis B, Chiodini RJ. Inherent bacterial DNA contamination of extraction and sequencing reagents may affect interpretation of microbiota in low bacterial biomass samples. Gut Pathog 2016;8:24.
  58. Cendejas‐Bueno E, Romero‐Gómez MP, Mingorance J. The challenge of molecular diagnosis of bloodstream infections. World J Microbiol Biotechnol 2019;35(4):65.
  59. Souza DC, Palmeiro JK, Maestri AC, Cogo LL, Rauen CH, Graaf ME. Ralstonia mannitolilytica bacteremia in a neonatal intensive care unit. Rev Soc Bras Med Trop 2018;51(5):709–711.
  60. Nasir N, Sayeed MA, Jamil B. Ralstonia pickettii bacteremia: an emerging infection in a tertiary care hospital setting. Cureus 2019;11(7):e5084.
  61. Chen YY, Huang WT, Chen CP, Sun SM, Kuo FM, Chan YJ. An outbreak of Ralstonia pickettii bloodstream infection associated with an intrinsically contaminated Normal saline solution.. Infect Control Hosp Epidemiol 2017;38(4):444–448.
  62. Kimura AC, Calvet H, Higa JI, Pitt H, Frank C, Padilla G. Outbreak of Ralstonia pickettii bacteremia in a neonatal intensive care unit.. Pediatr Infect Dis J 2005;24(12):1099–1103.
  63. Lampropoulos P, Gkentzi D, Tzifas S, Kapnisi G, Karatza A, Kolonitsiou F. Ralstonia mannitolilytica, an unusual pathogen in the neonatal intensive care unit: a case of neonatal sepsis and literature review.. Infect Disord Drug Targets 2021;21(2):168–172.
  64. Ryan MP, Pembroke JT, Adley CC. Ralstonia pickettii: a persistent gram‐negative nosocomial infectious organism.. J Hosp Infect 2006;62(3):278–284.
  65. Zhang C, Cheng H, Zhao Y, Chen J, Li M, Yu Z. Evaluation of cell‐free DNA‐based next‐generation sequencing for identifying pathogens in bacteremia patients.. Pol J Microbiol 2022;71(4):499–507.
  66. Sinha M, Jupe J, Mack H, Coleman TP, Lawrence SM, Fraley SI. Emerging technologies for molecular diagnosis of sepsis.. Clin Microbiol Rev 2018;31(2):e00089‐17.
  67. Heilmann RM, Xenoulis PG, Barr JW, Dowd SE, Lawhon SD, Suchodolski JS. Comparison of PCR and conventional blood culture to analyze blood from dogs with suspected sepsis.. Vet J 2013;198(3):714–716.

Citations

This article has been cited 0 times.