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Animals : an open access journal from MDPI2025; 15(22); 3343; doi: 10.3390/ani15223343

In Vitro Investigation of Equine Gut Microbiota Alterations During Hypoglycin A Exposure.

Abstract: Hypoglycin A is a plant-derived protoxin that causes atypical myopathy in equids. In atypical myopathy-affected horses, metabolomic and microbiome studies have reported alterations in metabolic markers and faecal microbiota composition, pointing to a potential disruption of microbial homeostasis. However, in vivo observations are strongly confounded by host-related factors, underscoring the need for controlled in vitro approaches. To address this, we used an in vitro static batch fermentation model simulating the equine colon to investigate the direct effects of hypoglycin A on microbiota composition and activity. Faecal inocula from healthy horses were incubated in control and hypoglycin A-treated fermenters for 48 h, with serial analyses of hypoglycin A concentration, short-chain fatty acids, and 16S rRNA gene profiles. Hypoglycin A remained stable in the nutritive medium in the absence of microbiota, confirming that its degradation in inoculated fermenters was microbiota-dependent. The results showed significant microbial-associated hypoglycin A degradation without evidence of toxic metabolite formation. The analysis of α- and β-diversity revealed both an effect of incubation time, reflecting the natural temporal dynamics of microbial communities under batch fermentation, and a specific impact of hypoglycin A exposure, with certain taxa such as being affected. This study provides the first in vitro evidence that the equine microbiota contributes to hypoglycin A degradation.
Publication Date: 2025-11-19 PubMed ID: 41302050PubMed Central: PMC12649563DOI: 10.3390/ani15223343Google Scholar: Lookup
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  • 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.

Equine gut microbiota can degrade hypoglycin A, a plant toxin causing atypical myopathy in horses, as demonstrated in an in vitro colon fermentation model. This study shows hypoglycin A influences microbial community composition and activity without producing toxic metabolites.

Background and Objective

  • Hypoglycin A is a toxin from plants that causes atypical myopathy, a severe muscle disease, in horses.
  • Previous studies in affected horses noted changes in metabolic markers and gut microbiota, suggesting disruption of the microbial balance in the gut.
  • However, studies conducted in living animals (in vivo) are complicated by many host-related factors, making it hard to isolate the effects of hypoglycin A on gut microbes alone.
  • The main objective was to study the direct effects of hypoglycin A on the equine gut microbiota in a controlled laboratory environment (in vitro) using a model simulating the horse colon.

Methods

  • An in vitro static batch fermentation system mimicking the equine colon was used.
  • Faecal samples from healthy horses provided the microbial inoculum to populate the system with natural gut microbes.
  • Two conditions were tested: control fermenters without hypoglycin A and fermenters treated with hypoglycin A, incubated for 48 hours.
  • Regular sampling was performed to analyze:
    • Concentration of hypoglycin A to monitor degradation.
    • Production of short-chain fatty acids (SCFAs), indicators of microbial metabolic activity.
    • 16S rRNA gene sequencing to profile changes in microbial community composition (microbiota diversity).
  • Additional controls included nutrient medium without microbiota to test if hypoglycin A degrades spontaneously.

Key Findings

  • Hypoglycin A remained chemically stable in the nutrient medium alone, confirming it was not degraded abiotically.
  • In the presence of the gut microbiota, significant microbial degradation of hypoglycin A occurred over 48 hours.
  • No toxic metabolites from hypoglycin A were detected, indicating the microbial breakdown did not produce harmful byproducts in this model.
  • Microbial community analysis showed two main effects:
    • Changes associated with fermentation time, reflecting the natural evolution of microbial populations in batch culture.
    • Specific alterations linked to hypoglycin A exposure, including shifts in the abundance of particular microbial taxa (though not all taxa are specified in the abstract).

Implications and Significance

  • This is the first in vitro evidence that the horse gut microbiota can directly degrade hypoglycin A, potentially modulating its toxicity.
  • The absence of toxic metabolites suggests microbial degradation could be a protective mechanism mitigating the toxin’s impact in the gut.
  • Understanding this microbial interaction might help develop strategies to prevent or treat atypical myopathy by targeting or supporting beneficial microbiota.
  • The in vitro model provides a valuable tool to study toxin-microbiota dynamics free from the confounding systemic effects present in living animals.

Cite This Article

APA
François AC, Taminiau B, Renaud B, Gonza-Quito IE, Massey C, Hyde C, Piercy RJ, Douny C, Scippo ML, Daube G, Gustin P, Delcenserie V, Votion DM. (2025). In Vitro Investigation of Equine Gut Microbiota Alterations During Hypoglycin A Exposure. Animals (Basel), 15(22), 3343. https://doi.org/10.3390/ani15223343

Publication

ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 15
Issue: 22
PII: 3343

Researcher Affiliations

François, Anne-Christine
  • Department of Functional Sciences, Faculty of Veterinary Medicine, Pharmacology and Toxicology, Fundamental and Applied Research for Animals & Health (FARAH), University of Liège, 4000 Liège, Belgium.
Taminiau, Bernard
  • Department of Food Sciences-Microbiology, Faculty of Veterinary Medicine, Fundamental and Applied Research for Animals & Health (FARAH), University of Liège, 4000 Liège, Belgium.
Renaud, Benoît
  • Department of Functional Sciences, Faculty of Veterinary Medicine, Pharmacology and Toxicology, Fundamental and Applied Research for Animals & Health (FARAH), University of Liège, 4000 Liège, Belgium.
Gonza-Quito, Irma Elizabeth
  • Laboratory of Food Quality Management, Department of Food Sciences, Faculty of Veterinary Medicine, Fundamental and Applied Research for Animals & Health (FARAH)-Veterinary Public Health, University of Liège, 4000 Liège, Belgium.
Massey, Claire
  • Comparative Neuromuscular Diseases Laboratory, Royal Veterinary College, London NW1 0TU, UK.
Hyde, Carolyn
  • Bio-Analysis Centre, London NW1 0NH, UK.
Piercy, Richard J
  • Comparative Neuromuscular Diseases Laboratory, Royal Veterinary College, London NW1 0TU, UK.
Douny, Caroline
  • Laboratory of Food Analysis, Department of Food Sciences, Faculty of Veterinary Medicine, Fundamental and Applied Research for Animals & Health (FARAH), University of Liège, 4000 Liège, Belgium.
Scippo, Marie-Louise
  • Laboratory of Food Analysis, Department of Food Sciences, Faculty of Veterinary Medicine, Fundamental and Applied Research for Animals & Health (FARAH), University of Liège, 4000 Liège, Belgium.
Daube, Georges
  • Department of Food Sciences-Microbiology, Faculty of Veterinary Medicine, Fundamental and Applied Research for Animals & Health (FARAH), University of Liège, 4000 Liège, Belgium.
Gustin, Pascal
  • Department of Functional Sciences, Faculty of Veterinary Medicine, Pharmacology and Toxicology, Fundamental and Applied Research for Animals & Health (FARAH), University of Liège, 4000 Liège, Belgium.
Delcenserie, Véronique
  • Laboratory of Food Quality Management, Department of Food Sciences, Faculty of Veterinary Medicine, Fundamental and Applied Research for Animals & Health (FARAH)-Veterinary Public Health, University of Liège, 4000 Liège, Belgium.
Votion, Dominique-Marie
  • Department of Functional Sciences, Faculty of Veterinary Medicine, Pharmacology and Toxicology, Fundamental and Applied Research for Animals & Health (FARAH), University of Liège, 4000 Liège, Belgium.

Grant Funding

  • D31-1381/S1-SAMA / Wallonie agriculture SPW

Conflict of Interest Statement

The authors declare no conflicts of interest.

References

This article includes 106 references
  1. Votion DM, van Galen G, Sweetman L, Boemer F, de Tullio P, Dopagne C, Lefère L, Mouithys-Mickalad A, Patarin F, Rouxhet S. Identification of Methylenecyclopropyl Acetic Acid in Serum of European Horses with Atypical Myopathy. Equine Vet. J. 2014;46:146–149.
    doi: 10.1111/evj.12117pubmed: 23773055google scholar: lookup
  2. Baise E, Habyarimana JA, Amory H, Boemer F, Douny C, Gustin P, Marcillaud-Pitel C, Patarin F, Weber M, Votion DM. Samaras and Seedlings of Acer Pseudoplatanus Are Potential Sources of Hypoglycin A Intoxication in Atypical Myopathy without Necessarily Inducing Clinical Signs. Equine Vet. J. 2016;48:414–417.
    doi: 10.1111/evj.12499pubmed: 26278545google scholar: lookup
  3. Unger L, Nicholson A, Jewitt EM, Gerber V, Hegeman A, Sweetman L, Valberg S. Hypoglycin A Concentrations in Seeds of Acer Pseudoplatanus Trees Growing on Atypical Myopathy-Affected and Control Pastures. J. Vet. Intern. Med. 2014;28:1289–1293.
    doi: 10.1111/jvim.12367pmc: PMC4857957pubmed: 24863395google scholar: lookup
  4. Fowden L, Pratt HM. Cyclopropylamino Acids of the Genus Acer. Phytochemistry 1973;12:1677–1681.
  5. Bochnia M, Sander J, Ziegler J, Terhardt M, Sander S, Janzen N, Cavalleri JMV, Zuraw A, Wensch-Dorendorf M, Zeyner A. Detection of MCPG Metabolites in Horses with Atypical Myopathy. PLoS ONE 2019;14:e0211698.
  6. Black DK, Landor SR. A New Synthesis of Hypoglycin a. Tetrahedron Lett. 1963;4:1065–1067.
  7. Billington D, Sherratt HS. Hypoglycin and Metabolically Related Inhibitors. Methods Enzymol. 1981;72:610–616.
    pubmed: 7311858
  8. El-Khatib AH, Engel AM, Weigel S. Co-Occurrence of Hypoglycin A and Hypoglycin B in Sycamore and Box Elder Maple Proved by LC-MS/MS and LC-HR-MS. Toxins 2022;14:608.
    doi: 10.3390/toxins14090608pmc: PMC9504185pubmed: 36136546google scholar: lookup
  9. Feng PC, Patrick SJ. Studies of the Action of Hypoglycin-A, an Hypoglycaemic Substance. J. Pharmacol. 1958;13:125–130.
  10. Bunert C, Langer S, Votion DM, Boemer F, Müller A, Ternes K, Liesegang A. Atypical Myopathy in Père David’s Deer (Elaphurus davidianus) Associated with Ingestion of Hypoglycin A. J. Anim. Sci. 2018;96:3537–3547.
    doi: 10.1093/jas/sky200pmc: PMC6095259pubmed: 29762728google scholar: lookup
  11. Renaud B, Kruse CJ, François AC, Grund L, Bunert C, Brisson L, Boemer F, Gault G, Ghislain B, Petitjean T. Acer Pseudoplatanus: A Potential Risk of Poisoning for Several Herbivore Species. Toxins 2022;14:512.
    doi: 10.3390/toxins14080512pmc: PMC9394473pubmed: 35893754google scholar: lookup
  12. Chen KK, Anderson RC, Mccowen MC, Harris PN. Pharmacologic Action of Hypoglycin A and B. J. Pharmacol. Exp. Ther. 1957;121:272–285.
    doi: 10.1016/S0022-3565(25)11947-2pubmed: 13481850google scholar: lookup
  13. Hassall CH, Reyle K, Feng P. Hypoglycin A, B: Biologically Active Polypeptides from Blighia sapida. Nature 1954;173:356–357.
    doi: 10.1038/173356b0pubmed: 13144762google scholar: lookup
  14. Hirz M, Gregersen HA, Sander J, Votion DM, Schänzer A, Köhler K, Herden C. Atypical Myopathy in 2 Bactrian Camels. J. Vet. Diagn. Investig. 2021;33:961–965.
    doi: 10.1177/10406387211020721pmc: PMC8366255pubmed: 34092152google scholar: lookup
  15. Jordan EO, Burrows W. The Vomiting Sickness of Jamaica, BWI and Its Relation to Akee Poisoning. Am. J. Epidemiol. 1937;25:520–545.
  16. Tanaka K, Kean EA, Johnson B. Jamaican Vomiting Sickness: Biochemical Investigation of Two Cases. N. Engl. J. Med. 1976;295:461–467.
    doi: 10.1056/NEJM197608262950901pubmed: 940578google scholar: lookup
  17. Renaud B, Kruse C-J, François A-C, Cesarini C, van Loon G, Palmers K, Boemer F, Luis G, Gustin P, Votion D-M. Large-Scale Study of Blood Markers in Equine Atypical Myopathy Reveals Subclinical Poisoning and Advances in Diagnostic and Prognostic Criteria. Environ. Toxicol. Pharmacol. 2024;110:104515.
    doi: 10.1016/j.etap.2024.104515pubmed: 39032580google scholar: lookup
  18. Kruse C-J, Stern D, Mouithys-Mickalad A, Niesten A, Art T, Lemieux H, Votion D-M. In Vitro Assays for the Assessment of Impaired Mitochondrial Bioenergetics in Equine Atypical Myopathy. Life 2021;11:719.
    doi: 10.3390/life11070719pmc: PMC8307747pubmed: 34357091google scholar: lookup
  19. Von Holt C. Methylenecyclopropaneacetic Acid, a Metabolite of Hypoglycin. Biochim. Biophys. Acta 1966;3:1–10.
    doi: 10.1016/0005-2760(66)90138-Xpubmed: 5968592google scholar: lookup
  20. Boemer F, Detilleux J, Cello C, Amory H, Marcillaud-Pitel C, Richard E, Van Galen G, Van Loon G, Lefère L, Votion DM. Acylcarnitines Profile Best Predicts Survival in Horses with Atypical Myopathy. PLoS ONE 2017;12:e0182761.
  21. Karlíková R, Široká J, Jahn P, Friedecký D, Gardlo A, Janečková H, Hrdinová F, Drábková Z, Adam T. Equine Atypical Myopathy: A Metabolic Study. Vet. J. 2016;216:125–132.
    doi: 10.1016/j.tvjl.2016.07.015pubmed: 27687939google scholar: lookup
  22. Mathis D, Sass JO, Graubner C, Schoster A. Diagnosis of Atypical Myopathy Based on Organic Acid and Acylcarnitine Profiles and Evolution of Biomarkers in Surviving Horses. Mol. Genet. Metab. Rep. 2021;29:100827.
    doi: 10.1016/j.ymgmr.2021.100827pmc: PMC8639802pubmed: 34900597google scholar: lookup
  23. Bochnia M, Ziegler J, Sander J, Uhlig A, Schaefer S, Vollstedt S, Glatter M, Abel S, Recknagel S, Schusser GF. Hypoglycin a Content in Blood and Urine Discriminates Horses with Atypical Myopathy from Clinically Normal Horses Grazing on the Same Pasture. PLoS ONE 2015;10:e0136785.
  24. Westermann CM, Dorland L, Votion DM, de Sain-van der Velden MGM, Wijnberg ID, Wanders RJA, Spliet WGM, Testerink N, Berger R, Ruiter JPN. Acquired Multiple Acyl-CoA Dehydrogenase Deficiency in 10 Horses with Atypical Myopathy. Neuromuscul. Disord. 2008;18:355–364.
    doi: 10.1016/j.nmd.2008.02.007pubmed: 18406615google scholar: lookup
  25. Westermann CM, de Sain-van der Velden MGM, van der Kolk JH, Berger R, Wijnberg ID, Koeman JP, Wanders RJA, Lenstra JA, Testerink N, Vaandrager AB. Equine Biochemical Multiple Acyl-CoA Dehydrogenase Deficiency (MADD) as a Cause of Rhabdomyolysis. Mol. Genet. Metab. 2007;91:362–369.
    doi: 10.1016/j.ymgme.2007.04.010pubmed: 17540595google scholar: lookup
  26. Kuziel GA, Lozano GL, Simian C, Li L, Manion J, Stephen-Victor E, Chatila T, Dong M, Weng JK, Rakoff-Nahoum S. Functional Diversification of Dietary Plant Small Molecules by the Gut Microbiome. Cell 2025;188:1967–1983.e22.
    doi: 10.1016/j.cell.2025.01.045pmc: PMC12671244pubmed: 40056901google scholar: lookup
  27. Tan Y, An K, Su J. Review: Mechanism of Herbivores Synergistically Metabolizing Toxic Plants through Liver and Intestinal Microbiota. Comp. Biochem. Physiol. Part C Toxicol. Pharmacol. 2024;281:109925.
    doi: 10.1016/j.cbpc.2024.109925pubmed: 38643812google scholar: lookup
  28. Rogowska-van der Molen MA, Berasategui-Lopez A, Coolen S, Jansen RS, Welte CU. Microbial Degradation of Plant Toxins. Environ. Microbiol. 2023;25:2988–3010.
    doi: 10.1111/1462-2920.16507pubmed: 37718389google scholar: lookup
  29. Engel AM, El-Khatib AH, Bachmann M, Wensch-Dorendorf M, Klevenhusen F, Weigel S, Pieper R, Zeyner A. Release of Hypoglycin A from Hypoglycin B and Decrease of Hypoglycin A and Methylene Cyclopropyl Glycine Concentrations in Ruminal Fluid Batch Cultures. Toxins 2025;17:46.
    doi: 10.3390/toxins17020046pmc: PMC11860860pubmed: 39998064google scholar: lookup
  30. Costa M, Weese JS. Methods and Basic Concepts for Microbiota Assessment. Vet. J. 2019;249:10–15.
    doi: 10.1016/j.tvjl.2019.05.005pubmed: 31239159google scholar: lookup
  31. Wimmer-Scherr C, Taminiau B, Renaud B, van Loon G, Palmers K, Votion D, Amory H, Daube G, Cesarini C. Comparison of Fecal Microbiota of Horses Suffering from Atypical Myopathy and Healthy Co-Grazers. Animals 2021;11:506.
    doi: 10.3390/ani11020506pmc: PMC7919468pubmed: 33672034google scholar: lookup
  32. François A-C, Cesarini C, Taminiau B, Renaud B, Kruse C-J, Boemer F, van Loon G, Palmers K, Daube G, Wouters CP. Unravelling Faecal Microbiota Variations in Equine Atypical Myopathy: Correlation with Blood Markers and Contribution of Microbiome. Animals 2025;15:354.
    doi: 10.3390/ani15030354pmc: PMC11815872pubmed: 39943124google scholar: lookup
  33. Garber A, Hastie P, Murray JA. Factors Influencing Equine Gut Microbiota: Current Knowledge. J. Equine Vet. Sci. 2020;88:102943.
    doi: 10.1016/j.jevs.2020.102943pubmed: 32303307google scholar: lookup
  34. Boucher L, Leduc L, Leclère M, Costa MC. Current Understanding of Equine Gut Dysbiosis and Microbiota Manipulation Techniques: Comparison with Current Knowledge in Other Species. Animals 2024;14:758.
    doi: 10.3390/ani14050758pmc: PMC10931082pubmed: 38473143google scholar: lookup
  35. Leng J, Walton G, Swann J, Darby A, La Ragione R, Proudmana C. “Bowel on the Bench”: Proof of Concept of a Three-Stage, In Vitro Fermentation Model of the Equine Large Intestine. Appl. Environ. Microbiol. 2020;86:e02093-19.
    doi: 10.1128/AEM.02093-19pmc: PMC6912081pubmed: 31676474google scholar: lookup
  36. Lowman RS, Theodorou MK, Hyslop JJ, Dhanoa MS, Cuddeford D. Evulation of an In Vitro Batch Culture Technique for Estimating the In Vivo Digestibility and Digestible Energy Content of Equine Feeds Using Equine Faeces as the Source of Microbial Inoculum. Anim. Feed Sci. Technol. 1999;80:11–27.
  37. Boemer F, Deberg M, Schoos R, Baise E, Amory H, Gault G, Carlier J, Gaillard Y, Marcillaud-Pitel C, Votion D. Quantification of Hypoglycin A in Serum Using ATRAQ® Assay. J. Chromatogr. B 2015;997:75–80.
    doi: 10.1016/j.jchromb.2015.06.004pubmed: 26094208google scholar: lookup
  38. Valberg SJ, Sponseller BT, Hegeman AD, Earing J, Bender JB, Martinson KL, Patterson SE, Sweetman L. Seasonal Pasture Myopathy/Atypical Myopathy in North America Associated with Ingestion of Hypoglycin A within Seeds of the Box Elder Tree. Equine Vet. J. 2013;45:419–426.
  39. Aguirre M, Ramiro-Garcia J, Koenen ME, Venema K. To Pool or Not to Pool? Impact of the Use of Individual and Pooled Fecal Samples for In Vitro Fermentation Studies. J. Microbiol. Methods 2014;107:1–7.
    doi: 10.1016/j.mimet.2014.08.022pubmed: 25194233google scholar: lookup
  40. Blake OA, Bennink MR, Jackson JC. Ackee (Blighia Sapida) Hypoglycin A Toxicity: Dose Response Assessment in Laboratory Rats. Food Chem. Toxicol. 2006;44:207–213.
    doi: 10.1016/j.fct.2005.07.002pubmed: 16099087google scholar: lookup
  41. Nair AB, Jacob S. A Simple Practice Guide for Dose Conversion between Animals and Human. J. Basic Clin. Pharm. 2016;7:27.
    doi: 10.4103/0976-0105.177703pmc: PMC4804402pubmed: 27057123google scholar: lookup
  42. Leśniak K, Whittington L, Mapletoft S, Mitchell J, Hancox K, Draper S, Williams J. The Influence of Body Mass and Height on Equine Hoof Conformation and Symmetry. J. Equine Vet. Sci. 2019;77:43–49.
    doi: 10.1016/j.jevs.2019.02.013pubmed: 31133315google scholar: lookup
  43. Smith LS. Take a Deeper Look into Body Surface Area. Nursing 2019;49:51–54.
  44. Hintz HF. Digestive Physiology of the Horse. J. S. Afr. Vet. Assoc. 1975;46:13–17.
    pubmed: 1100824
  45. Molly K, Woestyne MV, Smet ID, Verstraete W. Validation of the Simulator of the Human Intestinal Microbial Ecosystem (SHIME) Reactor Using Microorganism-Associated Activities. Microb. Ecol. Health Dis. 1994;7:191–200.
    doi: 10.3109/08910609409141354google scholar: lookup
  46. Goya-Jorge E, Bondue P, Gonza I, Laforêt F, Antoine C, Boutaleb S, Douny C, Scippo ML, de Ribaucourt JC, Crahay F. Butyrogenic, Bifidogenic and Slight Anti-Inflammatory Effects of a Green Kiwifruit Powder (Kiwi FFG®) in a Human Gastrointestinal Model Simulating Mild Constipation. Food Res. Int. 2023;173:113348.
    doi: 10.1016/j.foodres.2023.113348pubmed: 37803696google scholar: lookup
  47. Merritt AM, Julliand V. Gastrointestinal Physiology. In: Geor RJ, Harris PA, Coenen M, editors. Equine Applied and Clinical Nutrition. W.B. Saunders; Philadelphia, PA, USA: 2013. pp. 3–32.
  48. Joskow R, Belson M, Vesper H, Backer L, Rubin C. Ackee Fruit Poisoning: An Outbreak Investigation in Haiti 2000-2001, and Review of the Literature. Clin. Toxicol. 2006;44:267–273.
    doi: 10.1080/15563650600584410pubmed: 16749544google scholar: lookup
  49. Wang Y, Qian PY. Conservative Fragments in Bacterial 16S RRNA Genes and Primer Design for 16S Ribosomal DNA Amplicons in Metagenomic Studies. PLoS ONE 2009;4:e7401.
  50. Cerri S, Taminiau B, de Lusancay AHC, Lecoq L, Amory H, Daube G, Cesarini C. Effect of Oral Administration of Omeprazole on the Microbiota of the Gastric Glandular Mucosa and Feces of Healthy Horses. J. Vet. Intern. Med. 2020;34:2727–2737.
    doi: 10.1111/jvim.15937pmc: PMC7694827pubmed: 33063923google scholar: lookup
  51. Schloss PD, Westcott SL, Ryabin T, Hall JR, Hartmann M, Hollister EB, Lesniewski RA, Oakley BB, Parks DH, Robinson CJ. Introducing Mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities. Appl. Environ. Microbiol. 2009;75:7537–7541.
    doi: 10.1128/AEM.01541-09pmc: PMC2786419pubmed: 19801464google scholar: lookup
  52. Rognes T, Flouri T, Nichols B, Quince C, Mahé F. VSEARCH: A Versatile Open Source Tool for Metagenomics. PeerJ 2016;2016:e2584.
    doi: 10.7717/peerj.2584pmc: PMC5075697pubmed: 27781170google scholar: lookup
  53. Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glöckner FO. The SILVA Ribosomal RNA Gene Database Project: Improved Data Processing and Web-Based Tools. Nucleic Acids Res. 2013;41:D590–D596.
    doi: 10.1093/nar/gks1219pmc: PMC3531112pubmed: 23193283google scholar: lookup
  54. Oksanen J, Simpso GL, Blanchet FG, Kindt R, Legendre P, Minchin PR, O’Hara RB, Solymos P, Stevens MHM, Szoecs E. Package “vegan”—Community Ecology Package. [(accessed on 9 October 2024)]. Available online: https://cran.r-project.org/web/packages/vegan/vegan.pdf.
  55. Kers JG, Saccenti E. The Power of Microbiome Studies: Some Considerations on Which Alpha and Beta Metrics to Use and How to Report Results. Front. Microbiol. 2022;12:796025.
    doi: 10.3389/fmicb.2021.796025pmc: PMC8928147pubmed: 35310396google scholar: lookup
  56. Morris EK, Caruso T, Buscot F, Fischer M, Hancock C, Maier TS, Meiners T, Müller C, Obermaier E, Prati D. Choosing and Using Diversity Indices: Insights for Ecological Applications from the German Biodiversity Exploratories. Ecol. Evol. 2014;4:3514–3524.
    doi: 10.1002/ece3.1155pmc: PMC4224527pubmed: 25478144google scholar: lookup
  57. Chao A, Chazdon RL, Shen TJ. A New Statistical Approach for Assessing Similarity of Species Composition with Incidence and Abundance Data. Ecol. Lett. 2005;8:148–159.
  58. Oksanen J, Kindt R, Simpson G. Package “vegan3d”—Static and Dynamic 3D and Editable Interactive Plots for the “Vegan” Package. [(accessed on 9 October 2024)]. Available online: https://cran.r-project.org/web/packages/vegan3d/vegan3d.pdf.
  59. Martinez Arbizu P. PairwiseAdonis: Pairwise Multilevel Comparison Using Adonis_. R Package Version 0.4.1. [(accessed on 9 October 2024)]. Available online: https://github.com/pmartinezarbizu/pairwiseAdonis.
  60. Douny C, Dufourny S, Brose F, Verachtert P, Rondia P, Lebrun S, Marzorati M, Everaert N, Delcenserie V, Scippo ML. Development of an Analytical Method to Detect Short-Chain Fatty Acids by SPME-GC–MS in Samples Coming from an In Vitro Gastrointestinal Model. J. Chromatogr. B 2019;1124:188–196.
    doi: 10.1016/j.jchromb.2019.06.013pubmed: 31212236google scholar: lookup
  61. González-Medina S, Hyde C, Lovera I, Piercy RJ. Detection of Hypoglycin A and MCPA-Carnitine in Equine Serum and Muscle Tissue: Optimisation and Validation of a LC-MS-Based Method without Derivatisation. Equine Vet. J. 2021;53:558–568.
    doi: 10.1111/evj.13303pubmed: 32525217google scholar: lookup
  62. Pavao A, Graham M, Arrieta-Ortiz ML, Immanuel SRC, Baliga NS, Bry L. Reconsidering the In Vivo Functions of Clostridial Stickland Amino Acid Fermentations. Anaerobe 2022;76:102600.
  63. Britz ML, Wilkinson RG. Leucine Dissimilation to Isovaleric and Isocaproic Acids by Cell Suspensions of Amino Acid Fermenting Anaerobes: The Stickland Reaction Revisited. Can. J. Microbiol. 1981;28:291–300.
    doi: 10.1139/m82-043pubmed: 6805929google scholar: lookup
  64. Dai Z-L, Wu G, Zhu WY. Amino Acid Metabolism in Intestinal Bacteria-Links between Gut Ecology and Host Health. Front. Biosci. 2011;16:1768–1786.
    doi: 10.2741/3820pubmed: 21196263google scholar: lookup
  65. Davila AM, Blachier F, Gotteland M, Andriamihaja M, Benetti PH, Sanz Y, Tomé D. Intestinal Luminal Nitrogen Metabolism: Role of the Gut Microbiota and Consequences for the Host. Pharmacol. Res. 2013;68:95–107.
    doi: 10.1016/j.phrs.2012.11.005pubmed: 23183532google scholar: lookup
  66. Granado-Serrano AB, Martín-Garí M, Sánchez V, Riart Solans M, Berdún R, Ludwig IA, Rubió L, Vilaprinyó E, Portero-Otín M, Serrano JCE. Faecal Bacterial and Short-Chain Fatty Acids Signature in Hypercholesterolemia. Sci. Rep. 2019;9:1772.
    doi: 10.1038/s41598-019-38874-3pmc: PMC6370822pubmed: 30742005google scholar: lookup
  67. Bergman EN. Energy Contributions of Volatile Fatty Acids from the Gastrointestinal Tract in Various Species. Physiol. Rev. 1990;70:567–590.
    doi: 10.1152/physrev.1990.70.2.567pubmed: 2181501google scholar: lookup
  68. Pryde SE, Duncan SH, Hold GL, Stewart CS, Flint HJ. The Microbiology of Butyrate Formation in the Human Colon. FEMS Microbiol. Lett. 2002;217:133–139.
  69. Duncan SH, Holtrop G, Lobley GE, Calder AG, Stewart CS, Flint HJ. Contribution of Acetate to Butyrate Formation by Human Faecal Bacteria. Br. J. Nutr. 2004;91:915–923.
    doi: 10.1079/BJN20041150pubmed: 15182395google scholar: lookup
  70. Louis P, Flint HJ. Diversity, Metabolism and Microbial Ecology of Butyrate-Producing Bacteria from the Human Large Intestine. FEMS Microbiol. Lett. 2009;294:1–8.
  71. González-Medina S, Bevin W, Alzola-Domingo R, Chang YM, Piercy RJ. Hypoglycin A Absorption in Sheep without Concurrent Clinical or Biochemical Evidence of Disease. J. Vet. Intern. Med. 2021;35:1170–1176.
    doi: 10.1111/jvim.16077pmc: PMC7995363pubmed: 33675130google scholar: lookup
  72. De Meijere A. Bonding Properties of Cyclopropane and Their Chemical Consequences. Angew. Chem. 1979;18:809–886.
    doi: 10.1002/anie.197908093google scholar: lookup
  73. Nelson D.L., Cox M.M., Hoskins A. In: Principles of Biochemistry. 8th ed. Freeman W.H., editor. Macmillan International; London, UK: 2021.
  74. Bressler R, Corredor C, Brendel K. Hypoglycin and Hypoglycin-like Compounds. Pharmacol. Rev. 1969;21:105–130.
    doi: 10.1016/S0031-6997(25)06873-5pubmed: 4897145google scholar: lookup
  75. Magasanik B. Catabolite Repression. Cold Spring Harb. Symp. Quant. Biol. 1961;26:249–256.
    doi: 10.1101/SQB.1961.026.01.031pubmed: 14468226google scholar: lookup
  76. Adams R, Jones VV. The Structure of Leucenol. J. Am. Chem. Soc. 1947;69:1803–1805.
    doi: 10.1021/ja01199a067pubmed: 20251422google scholar: lookup
  77. Bickel AF. On the Structure of Leucaenine (Leucaenol) from Leucaena Glauca Bentham. J. Am. Chem. Soc. 1947;69:1801–1803.
    doi: 10.1021/ja01199a066pubmed: 20251421google scholar: lookup
  78. Jones RJ. Does Ruminal Metabolism of Mimosine Explain the Absence of Leucaena Toxicity in Hawaii?. Aust. Vet. J. 1981;57:55–56.
  79. Jones RJ, Lowry JB. Australian Goats Detoxify the Goitrogen 3-Hydroxy-4(IH) Pyridone (DHP) after Rumen Infusion from an Indone-Sian Goat. Experientia 1984;40:1435–1436.
    doi: 10.1007/BF01951931pubmed: 6210212google scholar: lookup
  80. Jones RJ, Megarrity RG. Successful Transfer of DHP-Degrading Bacteria from Hawaiian Goats to Australian Ruminants to Overcome the Toxicity of Leucaena. Aust. Vet. J. 1986;63:259–262.
  81. Allison MJ, Mayberry WR, Mcsweeney CS, Stahl DA. Synergistes jonesii, gen. nov., sp.nov.: A Rumen Bacterium That Degrades Toxic Pyridinediols. Syst. Appl. Microbiol. 1992;15:522–529.
  82. Allison MJ, Hammond AC, Jones RJ. Detection of Ruminal Bacteria That Degrade Toxic Dihydroxypyridine Compounds Produced from Mimosine. Appl. Environ. Microbiol. 1990;56:590–594.
    doi: 10.1128/aem.56.3.590-594.1990pmc: PMC183391pubmed: 2317038google scholar: lookup
  83. Baraille M, Buttet M, Grimm P, Milojevic V, Julliand S, Julliand V. Changes of Faecal Bacterial Communities and Microbial Fibrolytic Activity in Horses Aged from 6 to 30 Years Old. PLoS ONE 2024;19:e0303029.
  84. Theelen MJP, Luiken REC, Wagenaar JA, van Oldruitenborgh-Oosterbaan MMS, Rossen JWA, Zomer AL. The Equine Faecal Microbiota of Healthy Horses and Ponies in The Netherlands: Impact of Host and Environmental Factors. Animals 2021;11:1762.
    doi: 10.3390/ani11061762pmc: PMC8231505pubmed: 34204691google scholar: lookup
  85. Hu D, Chao Y, Li Y, Peng X, Wang C, Wang Z, Zhang D, Li K. Effect of Gender Bias on Equine Fecal Microbiota. J. Equine Vet. Sci. 2021;97:103355.
    doi: 10.1016/j.jevs.2020.103355pubmed: 33478764google scholar: lookup
  86. Van Galen G, Saegerman C, Marcillaud Pitel C, Patarin F, Amory H, Baily JD, Cassart D, Gerber V, Hahn C, Harris P. European Outbreaks of Atypical Myopathy in Grazing Horses (2006–2009): Determination of Indicators for Risk and Prognostic Factors. Equine Vet. J. 2012;44:621–625.
  87. Votion DM, François AC, Kruse C, Renaud B, Farinelle A, Bouquieaux MC, Marcillaud-pitel C, Gustin P. Answers to the Frequently Asked Questions Regarding Horse Feeding and Management Practices to Reduce the Risk of Atypical Myopathy. Animals 2020;10:365.
    doi: 10.3390/ani10020365pmc: PMC7071031pubmed: 32102384google scholar: lookup
  88. Fernandes KA, Rogers CW, Gee EK, Kittelmann S, Bolwell CF, Bermingham EN, Biggs PJ, Thomas DG. Resilience of Faecal Microbiota in Stabled Thoroughbred Horses Following Abrupt Dietary Transition between Freshly Cut Pasture and Three Forage-Based Diets. Animals 2021;11:2611.
    doi: 10.3390/ani11092611pmc: PMC8471312pubmed: 34573577google scholar: lookup
  89. Fernandes KA, Gee EK, Rogers CW, Kittelmann S, Biggs PJ, Bermingham EN, Bolwell CF, Thomas DG. Seasonal Variation in the Faecal Microbiota of Mature Adult Horses Maintained on Pasture in New Zealand. Animals 2021;11:2300.
    doi: 10.3390/ani11082300pmc: PMC8388417pubmed: 34438757google scholar: lookup
  90. Raspa F, Chessa S, Bergero D, Sacchi P, Ferrocino I, Cocolin L, Corvaglia MR, Moretti R, Cavallini D, Valle E. Microbiota Characterization throughout the Digestive Tract of Horses Fed a High-Fiber vs. a High-Starch Diet. Front. Vet. Sci. 2024;11:1386135.
    doi: 10.3389/fvets.2024.1386135pmc: PMC11130486pubmed: 38807937google scholar: lookup
  91. Salem SE, Maddox TW, Berg A, Antczak P, Ketley JM, Williams NJ, Archer DC. Variation in Faecal Microbiota in a Group of Horses Managed at Pasture over a 12-Month Period. Sci. Rep. 2018;8:8510.
    doi: 10.1038/s41598-018-26930-3pmc: PMC5981443pubmed: 29855517google scholar: lookup
  92. Chaucheyras-Durand F, Sacy A, Karges K, Apper E. Gastro-Intestinal Microbiota in Equines and Its Role in Health and Disease: The Black Box Opens. Microorganisms 2022;10:2517.
  93. Arantes JA, Di Pietro R, Ratté M, Arroyo LG, Leclère M, Costa MC. Changes in Bacterial Viability after Preparation and Storage of Fecal Microbiota Transplantation Solution Using Equine Feces. PeerJ 2025;13:e18860.
    doi: 10.7717/peerj.18860pmc: PMC11847485pubmed: 39989751google scholar: lookup
  94. Fouhy F, Deane J, Rea MC, O’Sullivan Ó, Ross RP, O’Callaghan G, Plant BJ, Stanton C. The Effects of Freezing on Faecal Microbiota as Determined Using Miseq Sequencing and Culture-Based Investigations. PLoS ONE 2015;10:e0119355.
  95. Carroll IM, Ringel-Kulka T, Siddle JP, Klaenhammer TR, Ringel Y. Characterization of the Fecal Microbiota Using High-Throughput Sequencing Reveals a Stable Microbial Community during Storage. PLoS ONE 2012;7:e46953.
  96. De Bustamante MM, Plummer C, Macnicol J, Gomez D. Impact of Ambient Temperature Sample Storage on the Equine Fecal Microbiota. Animals 2021;11:819.
    doi: 10.3390/ani11030819pmc: PMC8001224pubmed: 33803934google scholar: lookup
  97. Bell J, Raidal S, Peters A, Hughes KJ. Storage of Equine Faecal Microbiota Transplantation Solution Has Minimal Impact on Major Bacterial Communities and Structure. Vet. J. 2024;307:106220.
    doi: 10.1016/j.tvjl.2024.106220pubmed: 39117173google scholar: lookup
  98. Gavriliuc S, Stothart MR, Henry A, Poissant J. Long-Term Storage of Feces at −80 °C versus −20 °C Is Negligible for 16S RRNA Amplicon Profiling of the Equine Bacterial Microbiome. PeerJ 2021;9:e10837.
    doi: 10.7717/peerj.10837pmc: PMC7953882pubmed: 33854827google scholar: lookup
  99. Krägeloh T, Cavalleri JMV, Ziegler J, Sander J, Terhardt M, Breves G, Cehak A. Identification of Hypoglycin A Binding Adsorbents as Potential Preventive Measures in Co-Grazers of Atypical Myopathy Affected Horses. Equine Vet. J. 2018;50:220–227.
    doi: 10.1111/evj.12723pubmed: 28715146google scholar: lookup
  100. Mok CH, Urschel KL. Amino Acid Requirements in Horses. Asian-Australas. J. Anim. Sci. 2020;33:679–695.
    doi: 10.5713/ajas.20.0050pmc: PMC7206390pubmed: 32164055google scholar: lookup
  101. Gibbs PG, Potter GD, Schelling GT, Kreider JL, Boyd CL. Digestion of Hay Protein in Different Segments of the Equine Digestive Tract. J. Anim. Sci. 1988;66:400–406.
    doi: 10.2527/jas1988.662400xpubmed: 3372383google scholar: lookup
  102. Reitnour CM, Salsbury RL. Digestion and Utilization of Cecally Infused Protein by the Equine. J. Anim. Sci. 1972;35:1190–1193.
    doi: 10.2527/jas1972.3561190xpubmed: 4678724google scholar: lookup
  103. Glade MJ. Nitrogen Partitioning Along the Equine Digestive Tract. J. Anim. Sci. 1983;57:943–953.
    doi: 10.2527/jas1983.574943xpubmed: 6643306google scholar: lookup
  104. Woodward AD, Holcombe SJ, Steibel JP, Staniar WB, Colvin C, Trottier NL. Cationic and Neutral Amino Acid Transporter Transcript Abundances Are Differentially Expressed in the Equine Intestinal Tract. J. Anim. Sci. 2010;88:1028–1033.
    doi: 10.2527/jas.2009-2406pubmed: 19933436google scholar: lookup
  105. Slade LM, Bishop R, Morris JG, Robinson DW. Digestion and Absorption of 15N-Labelled Microbial Protein in the Large Intestine of the Horse. Br. Vet. J. 1971;127:11–13.
    doi: 10.1016/S0007-1935(17)37583-8pubmed: 5580378google scholar: lookup
  106. Neis EPJG, Dejong CHC, Rensen SS. The Role of Microbial Amino Acid Metabolism in Host Metabolism. Nutrients 2015;7:2930–2946.
    doi: 10.3390/nu7042930pmc: PMC4425181pubmed: 25894657google scholar: lookup

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