Analyze Diet
Journal of equine science2025; 36(3); 93-102; doi: 10.1294/jes.36.93

Correlation of hindgut microbiome and fermentation properties with a history of gas and/or impaction colic in Japanese draft horses.

Abstract: Colic, a major gastrointestinal disease in horses, has a high recurrence rate and can lead to surgery or fatal outcomes, highlighting the need for effective prevention measures. Disruption of the microbiome is a multifaceted problem and can occur from a variety of factors, such as high-concentrate diets, which can then potentially cause colic. However, individual variation in the incidence of colic can occur when under identical management practices. The aim of this study was to characterize the fecal bacterial composition of Japanese draft horses with and without a history of colic in the past two years under identical feeding conditions to determine if specific bacterial taxa are associated with either phenotype. A fecal bacterial community analysis was performed via sequencing of the V3-V4 region of the 16S rRNA gene. The fecal lactate concentration was measured using high-performance liquid chromatography. Our results show a significant decrease in microbial evenness in horses with a history of colic along with an increase in . The fecal lactate concentration was higher in the colic group compared with the non-colic group, which may be attributed to the higher abundance of . Horses without a history of colic were characterized by amplicon sequence variants belonging to bacteria associated with fiber degradation, including Rikenellaceae RC9, Kiritimatiellae, and Clostridium. Overall, our results align with previous studies on equine colic epidemiology and suggest that the bacterial microbiome composition, independent of diet, may be related to the recurrence of colic.
Publication Date: 2025-09-17 PubMed ID: 40980339PubMed Central: PMC12445996DOI: 10.1294/jes.36.93Google 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 investigated the fecal microbiome and fermentation characteristics in Japanese draft horses to find links between specific gut bacteria and a history of colic, a painful gastrointestinal condition.
  • Researchers aimed to understand microbial differences between horses with and without colic occurrences under identical feeding conditions, shedding light on potential microbial contributors to colic risk.

Background

  • Colic is a major gastrointestinal disease in horses characterized by abdominal pain, with potential for serious outcomes including surgery or death.
  • The recurrence of colic is common, and effective prevention is a priority for equine health management.
  • One risk factor for colic is disruption of the gut microbiome, which can be influenced by diet (e.g., high-concentrate feeds) and other factors.
  • Despite similar management practices, horses can vary in their susceptibility to colic, suggesting individual differences in their gut microbial communities may play a role.

Aim of the Study

  • To characterize the fecal bacterial composition of Japanese draft horses with and without a history of gas or impaction colic in the previous two years.
  • To do this under controlled, identical feeding conditions, minimizing dietary effects on the microbiome.
  • To identify specific bacterial taxa or fermentation profiles associated with colic history.

Methods

  • Fecal samples were collected from Japanese draft horses separated into two groups: those with and without colic history within two years.
  • Bacterial community analysis was conducted via sequencing of the V3-V4 regions of the 16S rRNA gene, a standard method for profiling microbial populations.
  • Fecal lactate concentrations were measured using high-performance liquid chromatography (HPLC) to assess fermentation changes.

Key Findings

  • Horses with a history of colic showed a significant decrease in microbial evenness, indicating less balanced bacterial communities.
  • There was an increase in an unspecified bacterial group or marker in the colic group (not fully detailed in the abstract, but potentially related to lactate producers or less beneficial bacteria).
  • The fecal lactate concentration was higher in the colic group, suggesting altered fermentation dynamics, which can impact gut health and increase colic risk.
  • Horses without a history of colic had more abundant bacteria known for fiber degradation, such as Rikenellaceae RC9, Kiritimatiellae, and Clostridium genera.
  • These fiber-degrading bacteria likely contribute to healthier gut function by breaking down dietary fiber into beneficial products and maintaining microbial balance.

Interpretation and Implications

  • The study reinforces the idea that the gut microbiome composition, independent of dietary intake, may contribute to susceptibility to recurrent colic.
  • Reduced microbial diversity and increased lactate concentration could disrupt hindgut fermentation, potentially leading to gas or impaction colic episodes.
  • Presence of fiber-degrading bacteria appears protective, possibly by supporting stable fermentation and preventing accumulation of problematic metabolites.
  • Understanding microbial signatures linked to colic history can inform targeted strategies for prevention, such as microbiome modulation or selective feeding management.
  • These findings align with previous epidemiological and microbiological studies, highlighting the microbial ecology of the equine hindgut as a critical factor in colic risk.

Limitations and Future Directions

  • The abstract mentions some data points without full taxonomic details; further research could elucidate specific bacterial species involved.
  • Interventional studies could test whether modifying the microbiome reduces colic incidence.
  • Longitudinal studies monitoring microbiome changes before, during, and after colic episodes would deepen understanding.
  • Exploration of other gut regions or metabolite profiling can provide a more comprehensive picture of colic pathophysiology.

Cite This Article

APA
Yano R, Moriyama T, Arai H, Scheftgen AJ, Suen G, Nishida T, Handa M, Fukuma N. (2025). Correlation of hindgut microbiome and fermentation properties with a history of gas and/or impaction colic in Japanese draft horses. J Equine Sci, 36(3), 93-102. https://doi.org/10.1294/jes.36.93

Publication

ISSN: 1340-3516
NlmUniqueID: 9503751
Country: Japan
Language: English
Volume: 36
Issue: 3
Pages: 93-102

Researcher Affiliations

Yano, Rintaro
  • Department of Life and Food Sciences, Obihiro University of Agriculture and Veterinary Medicine, Inada, Obihiro, Hokkaido 080-8555, Japan.
Moriyama, Tomoe
  • Veterinary Medical Center, Obihiro University of Agriculture and Veterinary Medicine, Inada, Obihiro, Hokkaido 080-8555, Japan.
  • Present address: Horse Clinic, Animal Medical Center, Rakuno Gakuen University, 582 Bunkyodai Midoricho, Ebetsu City, Hokkaido 069-8501, Japan.
Arai, Hisao
  • Tokachi Ban'ei Clinic, Nishi 13 Minami 9, Obihiro, Hokkaido 080-0032, Japan.
  • Present address: Tokachi Ban'ei Clinic, 2-16-6 Minami, 19 Nishi, Obihiro, Hokkaido 080-2469, Japan.
Scheftgen, Andrew J
  • Department of Life and Food Sciences, Obihiro University of Agriculture and Veterinary Medicine, Inada, Obihiro, Hokkaido 080-8555, Japan.
Suen, Garret
  • Department of Bacteriology, University of Wisconsin-Madison, Madison, WI 53706, USA.
Nishida, Takehiro
  • Department of Life and Food Sciences, Obihiro University of Agriculture and Veterinary Medicine, Inada, Obihiro, Hokkaido 080-8555, Japan.
Handa, Masaaki
  • Department of Life and Food Sciences, Obihiro University of Agriculture and Veterinary Medicine, Inada, Obihiro, Hokkaido 080-8555, Japan.
Fukuma, Naoki
  • Department of Life and Food Sciences, Obihiro University of Agriculture and Veterinary Medicine, Inada, Obihiro, Hokkaido 080-8555, Japan.
  • Research Center for Global Agromedicine, Obihiro University of Agriculture and Veterinary Medicine, Inada, Obihiro, Hokkaido 080-8555, Japan.

References

This article includes 53 references
  1. Ahmed E, Yano R, Fujimori M, Kand D, Hanada M, Nishida T, Fukuma N. Impacts of mootral on methane production, rumen fermentation, and microbial community in an study. 2021;7:623817.
    pmc: PMC7863759pubmed: 33553288
  2. Archer DC, Proudman CJ. Epidemiological clues to preventing colic. 2006;172:29–39.
    pubmed: 15939639
  3. Arnold C, Pilla R, Chaffin K, Lidbury J, Steiner J, Suchodolski J. Alterations in the fecal microbiome and metabolome of horses with antimicrobial-associated diarrhea compared to antibiotic-treated and non-treated healthy case controls. 2021;11:1807.
    pmc: PMC8235368pubmed: 34204371
  4. Bergman EN. Energy contributions of volatile fatty acids from the gastrointestinal tract in various species. 1990;70:567–590.
    pubmed: 2181501
  5. Bokulich NA, Kaehler BD, Rideout JR, Dillon M, Bolyen E, Knight R, Huttley GA, Gregory Caporaso J. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin. 2018;6:90.
    pmc: PMC5956843pubmed: 29773078
  6. Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, Alexander H, Alm EJ, Arumugam M, Asnicar F, Bai Y, Bisanz JE, Bittinger K, Brejnrod A, Brislawn CJ, Brown CT, Callahan BJ, Caraballo-Rodríguez AM, Chase J, Cope EK, Da Silva R, Diener C, Dorrestein PC, Douglas GM, Durall DM, Duvallet C, Edwardson CF, Ernst M, Estaki M, Fouquier J, Gauglitz JM, Gibbons SM, Gibson DL, Gonzalez A, Gorlick K, Guo J, Hillmann B, Holmes S, Holste H, Huttenhower C, Huttley GA, Janssen S, Jarmusch AK, Jiang L, Kaehler BD, Kang KB, Keefe CR, Keim P, Kelley ST, Knights D, Koester I, Kosciolek T, Kreps J, Langille MGI, Lee J, Ley R, Liu YX, Loftfield E, Lozupone C, Maher M, Marotz C, Martin BD, McDonald D, McIver LJ, Melnik AV, Metcalf JL, Morgan SC, Morton JT, Naimey AT, Navas-Molina JA, Nothias LF, Orchanian SB, Pearson T, Peoples SL, Petras D, Preuss ML, Pruesse E, Rasmussen LB, Rivers A, Robeson MS 2nd, Rosenthal P, Segata N, Shaffer M, Shiffer A, Sinha R, Song SJ, Spear JR, Swafford AD, Thompson LR, Torres PJ, Trinh P, Tripathi A, Turnbaugh PJ, Ul-Hasan S, van der Hooft JJJ, Vargas F, Vázquez-Baeza Y, Vogtmann E, von Hippel M, Walters W, Wan Y, Wang M, Warren J, Weber KC, Williamson CHD, Willis AD, Xu ZZ, Zaneveld JR, Zhang Y, Zhu Q, Knight R, Caporaso JG. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. 2019;37:852–857.
    pmc: PMC7015180pubmed: 31341288
  7. Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP. DADA2: high-resolution sample inference from Illumina amplicon data. 2016;13:581–583.
    pmc: PMC4927377pubmed: 27214047
  8. Chao A. Nonparametric estimation of the number of classes in a population. 1984;11:265–270.
  9. Cheng KJ, McAllister TA, Popp JD, Hristov AN, Mir Z, Shin HT. A review of bloat in feedlot cattle. 1998;76:299–308.
    pubmed: 9464911
  10. Cohen ND, Gibbs PG, Woods AM. Dietary and other management factors associated with colic in horses. 1999;215:53–60.
    pubmed: 10397066
  11. Cotta MA. Amylolytic activity of selected species of ruminal bacteria. 1988;54:772–776.
    pmc: PMC202539pubmed: 2454075
  12. Curtis L, Burford JH, England GCW, Freeman SL. Risk factors for acute abdominal pain (colic) in the adult horse: a scoping review of risk factors, and a systematic review of the effect of management-related changes. 2019;14:e0219307.
    pmc: PMC6622499pubmed: 31295284
  13. Daly K, Proudman CJ, Duncan SH, Flint HJ, Dyer J, Shirazi-Beechey SP. Alterations in microbiota and fermentation products in equine large intestine in response to dietary variation and intestinal disease. 2012;107:989–995.
    pubmed: 21816118
  14. Dong XZ, Schyns PJ, Stams AJ. Degradation of galactomannan by a Clostridium butyricum strain. 1991;60:109–114.
    pubmed: 1666501
  15. Edwards JE, Shetty SA, van den Berg P, Burden F, van Doorn DA, Pellikaan WF, Dijkstra J, Smidt H. Multi-kingdom characterization of the core equine fecal microbiota based on multiple equine (sub)species. 2020;2:6.
    pmc: PMC7807809pubmed: 33499982
  16. Faith D.P.. Conservation evaluation and phylogenetic diversity.. 61: 1–10.
  17. Fereig R.M.. A review on equine colic: etiology, differential diagnosis, therapy, and prevention.. 3: 1–12.
  18. Gao Q., Sun G., Duan J., Luo C., Yangji C., Zhong R., Chen L., Zhu Y., Wangdui B., Zhang H.. Alterations in gut microbiota improve SCFA production and fiber utilization in Tibetan pigs fed alfalfa diet.. 13: 969524.
    pmc: PMC9634421pubmed: 36338094
  19. Gomaa E.Z.. Human gut microbiota/microbiome in health and diseases: a review.. 113: 2019–2040.
    pubmed: 33136284
  20. Gonçalves S., Julliand V., Leblond A.. Risk factors associated with colic in horses.. 33: 641–652.
    pubmed: 12498565
  21. Gong G., Zhou S., Luo R., Gesang Z., Suolang S.. Metagenomic insights into the diversity of carbohydrate-degrading enzymes in the yak fecal microbial community.. 20: 302.
    pmc: PMC7547465pubmed: 33036549
  22. Goodrich J.K., Waters J.L., Poole A.C., Sutter J.L., Koren O., Blekhman R., Beaumont M., Van Treuren W., Knight R., Bell J.T., Spector T.D., Clark A.G., Ley R.E.. Human genetics shape the gut microbiome.. 159: 789–799.
    pmc: PMC4255478pubmed: 25417156
  23. Huang C., Ge F., Yao X., Guo X., Bao P., Ma X., Wu X., Chu M., Yan P., Liang C.. Microbiome and metabolomics reveal the effects of different feeding systems on the growth and ruminal development of yaks.. 12: 682989.
    pmc: PMC8265505pubmed: 34248900
  24. Jaramillo-López E., Itza-Ortiz M.F., Peraza-Mercado G., Carrera-Chávez J.M.. Ruminal acidosis: strategies for its control.. 49: 139–148.
  25. Julliand V., Grimm P.. The impact of diet on the hindgut microbiome.. 52: 23–28.
  26. Lin H., Peddada S.D.. Analysis of compositions of microbiomes with bias correction.. 11: 3514.
    pmc: PMC7360769pubmed: 32665548
  27. Liu C., Wu H., Liu S., Chai S., Meng Q., Zhou Z.. Dynamic alterations in yak rumen bacteria community and metabolome characteristics in response to feed type.. 10: 1116.
    pmc: PMC6538947pubmed: 31191470
  28. Louis P., Duncan S.H., Sheridan P.O., Walker A.W., Flint H.J.. Microbial lactate utilisation and the stability of the gut microbiome.. 3: e3.
    pmc: PMC11406415pubmed: 39295779
  29. Lozupone C., Knight R.. UniFrac: a new phylogenetic method for comparing microbial communities.. 71: 8228–8235.
    pmc: PMC1317376pubmed: 16332807
  30. Mackie R.I., Wilkins C.A.. Enumeration of anaerobic bacterial microflora of the equine gastrointestinal tract.. 54: 2155–2160.
    pmc: PMC202828pubmed: 3190223
  31. McKinney CA, Bedenice D, Pacheco AP, Oliveira BCM, Paradis MR, Mazan M, Widmer G. Assessment of clinical and microbiota responses to fecal microbial transplantation in adult horses with diarrhea.. 2021;16:e0244381.
    pmc: PMC7808643pubmed: 33444319
  32. Miyazaki K, Hino T, Itabashi AH. Effects of extracellular pH on the intracellular pH and membrane potential of cellulolytic ruminal bacteria, Ruminococcus albus, Ruminococcus flavefaciens, and Fibrobacter succinogenes.. 1992;38:567–573.
  33. Nagaraja TG, Titgemeyer EC. Ruminal acidosis in beef cattle: the current microbiological and nutritional outlook.. 2007;90 (Suppl 1):E17–E38.
    pubmed: 17517750
  34. Nakajima N, Ishihara K, Matsuura Y. Dietary-fiber-degrading enzymes from a human intestinal Clostridium and their application to oligosaccharide production from nonstarchy polysaccharides using immobilized cells.. 2002;59:182–189.
    pubmed: 12111144
  35. Pielou EC. The measurement of diversity in different types of biological collections.. 1966;13:131–144.
  36. 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.. 2013;41:D590–D596.
    pmc: PMC3531112pubmed: 23193283
  37. Richards N, Hinch G, Rowe J. The effect of current grain feeding practices on hindgut starch fermentation and acidosis in the Australian racing Thoroughbred.. 2006;84:402–407.
    pubmed: 17092327
  38. Russell JB, Dombrowski DB. Effect of pH on the efficiency of growth by pure cultures of rumen bacteria in continuous culture.. 1980;39:604–610.
    pmc: PMC291385pubmed: 7387158
  39. Russell JB, Robinson PH. Compositions and characteristics of strains of Streptococcus bovis.. 1984;67:1525–1531.
    pubmed: 6205028
  40. Russell JB, Rychlik JL. Factors that alter rumen microbial ecology.. 2001;292:1119–1122.
    pubmed: 11352069
  41. Scantlebury CE, Archer DC, Proudman CJ, Pinchbeck GL. Recurrent colic in the horse: incidence and risk factors for recurrence in the general practice population.. 2011;39:81–88.
    pubmed: 21790759
  42. Scantlebury CE, Perkins E, Pinchbeck GL, Archer DC, Christley RM. Could it be colic? Horse-owner decision making and practices in response to equine colic.. 2014;10 (Suppl 1):S1.
    pmc: PMC4122872pubmed: 25238026
  43. Shannon CE. A mathematical theory of communication.. 1948;27:379–423.
  44. Stackebrandt E. Taxonomic parameters revisited: tarnished gold standards.. 2006;33:152.
  45. Stewart HL, Southwood LL, Indugu N, Vecchiarelli B, Engiles JB, Pitta D. Differences in the equine faecal microbiota between horses presenting to a tertiary referral hospital for colic compared with an elective surgical procedure.. 2019;51:336–342.
    pubmed: 30153353
  46. Sun X, Sitters J, Ruytinx J, Wassen MJ, Olde Venterink H. Microbial community composition in the dung of five sympatric European herbivore species.. 2024;14:e11071.
    pmc: PMC10933625pubmed: 38481755
  47. Svartström O, Alneberg J, Terrapon N, Lombard V, de Bruijn I, Malmsten J, Dalin AM, El Muller E, Shah P, Wilmes P, Henrissat B, Aspeborg H, Andersson AF. Ninety-nine de novo assembled genomes from the moose (Alces alces) rumen microbiome provide new insights into microbial plant biomass degradation.. 2017;11:2538–2551.
    pmc: PMC5648042pubmed: 28731473
  48. Tinker MK, White NA, Lessard P, Thatcher CD, Pelzer KD, Davis B, Carmel DK. Prospective study of equine colic risk factors.. 1997;29:454–458.
    pubmed: 9413718
  49. Traub-Dargatz JL, Kopral CA, Seitzinger AH, Garber LP, Forde K, White NA. Estimate of the national incidence of and operation-level risk factors for colic among horses in the United States, spring 1998 to spring 1999.. 2001;219:67–71.
    pubmed: 11439773
  50. Weinert-Nelson JR, Biddle AS, Williams CA. Fecal microbiome of horses transitioning between warm-season and cool-season grass pasture within integrated rotational grazing systems.. 2022;4:41.
    pmc: PMC9210719pubmed: 35729677
  51. Yano R, Moriyama T, Fujimori M, Nishida T, Hanada M, Fukuma N. Effects of concentrate levels on intestinal fermentation and the microbial profile in Japanese draft horses.. 2023;34:101–109.
    pmc: PMC10806360pubmed: 38274554
  52. Yu Z, Morrison M. Improved extraction of PCR-quality community DNA from digesta and fecal samples.. 2004;36:808–812.
    pubmed: 15152600
  53. Zhu Y, Wang X, Deng L, Chen S, Zhu C, Li J. Effects of pasture grass, silage, and hay diet on equine fecal microbiota.. 2021;11:1330.
    pmc: PMC8148540pubmed: 34066969

Citations

This article has been cited 0 times.