Analyze Diet
Journal of veterinary internal medicine2021; 35(5); 2437-2448; doi: 10.1111/jvim.16206

The effects of signalment, diet, geographic location, season, and colitis associated with antimicrobial use or Salmonella infection on the fecal microbiome of horses.

Abstract: The fecal microbiome of healthy horses may be influenced by signalment, diet, environmental factors, and disease. Objective: To assess the effects of age, breed, sex, geographic location, season, diet, and colitis caused by antibiotic use (antimicrobial-associated diarrhea [AAD]) and Salmonella infection on fecal microbiota. Methods: Healthy horses (n = 80) were sampled from nonhospital environments across multiple geographical locations in the United States. Horses with AAD (n = 14) were defined as those that developed diarrhea secondary to antimicrobial use. Horses with Salmonella infection (n = 12) were presented with spontaneous onset of colitis and subsequently tested positive on Salmonella quantitative polymerase chain reaction. All horses were >1 year of age and stratified by a dietary scale that included forages (pasture and hay) and concentrates grouped by percentage of fiber and amount. Methods: Illumina sequencing of 16S rRNA genes was performed on fecal DNA. Results: Healthy horses fed higher amounts of grain clustered separately from those fed lower amounts of grain (analysis of similarities [ANOSIM], R = 0.356-0.385, Q = 0.002). Horses with AAD and Salmonella had decreased richness and evenness compared to healthy horses (P < .05). Univariable analysis of the 3 groups identified increases in Bacteroidetes (Q = 0.002) and Protebacteria (Q = 0.001) and decreases in Verrucomicrobia (Q = 0.001) in AAD horses whereas Salmonella horses had less Firmicutes (Q = 0.001) when compared to healthy horses. Conclusions: Although the amount of grain in the diet had some impact on the fecal microbiome, colitis had a significantly larger influence. Horses with ADD have a more severe dysbiosis than do horses with Salmonella.
Publication Date: 2021-07-16 PubMed ID: 34268795PubMed Central: PMC8478058DOI: 10.1111/jvim.16206Google Scholar: Lookup
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  • Journal Article

Summary

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The research explores the impact of various factors such as dietary intake, environment, and specific diseases on the fecal microbiome of horses, concluding that while diet can affect the fecal microbiome, an encounter with diseases like colitis has a more significant influence.

Introduction and Objectives

  • The study’s broad objective is to evaluate how variables such as age, breed, sex, location, changing seasons, and diet, along with diseases such as antimicrobial-associated diarrhea (AAD) and salmonella infection influence the fecal microbiota of horses.
  • The research particularly focuses on healthy horses, horses suffering from AAD (diarrhea caused by the use of antibiotics), and those infected with Salmonella.

Methodology

  • The sample consisted of 80 healthy horses from various geographical locations in the U.S., 14 horses affected by AAD, and 12 horses exhibiting spontaneous colitis and tested positive for Salmonella infection.
  • The horses were all above one year old and their diets were classified on a scale including forages (pasture and hay) and differentially fibered and portioned concentrates.
  • DNA was extracted from the fecal matter and subjected to Illumina sequencing of 16S rRNA genes to identify the gut microbiota present.

Results

  • Findings show that changes in the microbiome were observed in healthy horses depending on the grain diet they were fed: those fed higher amounts of grain had different clusters of bacteria than those fed lower amounts.
  • AAD and Salmonella-infected horses had reduced “richness and evenness” of fecal microbiota in comparison to healthy horses.
  • In AAD horses, there was an increased prevalence of Bacteroidetes and Proteobacteria and a decrease in Verrucomicrobia. Salmonella-infected horses, however, had lesser Firmicutes when compared to healthy horses.

Conclusions

  • The outcomes suggest that dietary factors do impact the horse’s fecal microbiome, particularly the quantity of grain consumed.
  • However, the research concludes that the presence of diseases like colitis has a much more substantial impact on the fecal microbiome.
  • It was further observed that the impact on microbiome was more severe in horses with ADD as compared to those infected with Salmonella.

Cite This Article

APA
Arnold CE, Pilla R, Chaffin MK, Leatherwood JL, Wickersham TA, Callaway TR, Lawhon SD, Lidbury JA, Steiner JM, Suchodolski JS. (2021). The effects of signalment, diet, geographic location, season, and colitis associated with antimicrobial use or Salmonella infection on the fecal microbiome of horses. J Vet Intern Med, 35(5), 2437-2448. https://doi.org/10.1111/jvim.16206

Publication

ISSN: 1939-1676
NlmUniqueID: 8708660
Country: United States
Language: English
Volume: 35
Issue: 5
Pages: 2437-2448

Researcher Affiliations

Arnold, Carolyn E
  • Department of Large Animal Clinical Sciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, Texas, USA.
Pilla, Rachel
  • Department of Small Animal Clinical Sciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, Texas, USA.
Chaffin, M Keith
  • Department of Large Animal Clinical Sciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, Texas, USA.
Leatherwood, Jessica L
  • Department of Animal Science, Texas A&M University, College Station, Texas, USA.
Wickersham, Tryon A
  • Department of Animal Science, Texas A&M University, College Station, Texas, USA.
Callaway, Todd R
  • Department of Animal and Dairy Science, University of Georgia, Athens, Georgia, USA.
Lawhon, Sara D
  • Department of Veterinary Pathobiology, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, Texas, USA.
Lidbury, Jonathan A
  • Department of Small Animal Clinical Sciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, Texas, USA.
Steiner, Joerg M
  • Department of Small Animal Clinical Sciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, Texas, USA.
Suchodolski, Jan S
  • Department of Small Animal Clinical Sciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, Texas, USA.

MeSH Terms

  • Animals
  • Anti-Bacterial Agents / adverse effects
  • Colitis / chemically induced
  • Colitis / veterinary
  • Diet / veterinary
  • Feces
  • Horse Diseases
  • Horses
  • Microbiota
  • RNA, Ribosomal, 16S / genetics
  • Salmonella Infections
  • Seasons

Grant Funding

  • The Donley Family
  • The Paula and Michael Gaughan Fund

Conflict of Interest Statement

Authors declare no conflict of interest.

References

This article includes 43 references
  1. Lynch SV, Pedersen O. The human intestinal microbiome in health and disease.. N Engl J Med 2016;375:2369‐2379.
    pubmed: 27974040
  2. Buford TW. (Dis)Trust your gut: the gut microbiome in age‐related inflammation, health, and disease.. Microbiome 2017;5:80.
    pmc: PMC5512975pubmed: 28709450
  3. Honneffer JB, Minamoto Y, Suchodolski JS. Microbiota alterations in acute and chronic gastrointestinal inflammation of cats and dogs.. World J Gastroenterol 2014;20:16489‐16497.
    pmc: PMC4248192pubmed: 25469017
  4. Suchodolski JS. Diagnosis and interpretation of intestinal dysbiosis in dogs and cats.. Vet J 2016;215:30‐37.
    pubmed: 27160005
  5. AlShawaqfeh MK, Wajid B, Minamoto Y. A dysbiosis index to assess microbial changes in fecal samples of dogs with chronic inflammatory enteropathy.. FEMS Microbiol Ecol 2017;93:fix136.
    pubmed: 29040443
  6. 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.. J Am Vet Med Assoc 2001;219:67‐71.
    pubmed: 11439773
  7. Costa MC, Silva G, Ramos RV. Characterization and comparison of the bacterial microbiota in different gastrointestinal tract compartments in horses.. Vet J 2015;205:74‐80.
    pubmed: 25975855
  8. Zhao Y, Li B, Bai D. Comparison of fecal microbiota of Mongolian and Thoroughbred horses by high‐throughput sequencing of the V4 Region of the 16S rRNA gene.. Asian‐Australas J Anim Sci 2016;29:1345‐1352.
    pmc: PMC5003997pubmed: 26954132
  9. Collins A, Hovey M, Chen S, Zhao H, Davis A, Porr S. Development of an ethogram for evaluating riding horses.. J Equine Vet Sci 2017;52:41.
  10. Costa MC, Weese JS. Understanding the intestinal microbiome in health and disease.. Vet Clin North Am Equine Pract 2018;34:1‐12.
    pubmed: 29402480
  11. O'Donnell MM, Harris HMB, Jeffery IB. The core faecal bacterial microbiome of Irish Thoroughbred racehorses.. Lett Appl Microbiol 2013;57:492‐501.
    pubmed: 23889584
  12. Massacci FR, Clark A, Ruet A. Inter‐breed diversity and temporal dynamics of the faecal microbiota in healthy horses.. J Anim Breed Genet 2020;137:103‐120.
    pubmed: 31523867
  13. Dougal K, de la Fuente G, Harris PA. Characterisation of the faecal bacterial community in adult and elderly horses fed a high fibre, high oil or high starch diet using 454 pyrosequencing.. PLoS One 2014;9:e87424.
    pmc: PMC3913607pubmed: 24504261
  14. Weese JS, Holcombe SJ, Embertson RM. Changes in the faecal microbiota of mares precede the development of post partum colic.. Equine Vet J 2015;47:641‐649.
    pubmed: 25257320
  15. Faubladier C, Chaucheyras‐Durand F, da Veiga L, Julliand V. Effect of transportation on fecal bacterial communities and fermentative activities in horses: impact of Saccharomyces cerevisiae CNCM I‐1077 supplementation.. J Anim Sci 2013;91:1736‐1744.
    pubmed: 23408806
  16. Almeida ML, Feringer WHJ, Carvalho JR. Intense exercise and aerobic conditioning associated with chromium or L‐carnitine supplementation modified the fecal microbiota of fillies.. PLoS One 2016;11:e0167108.
    pmc: PMC5147854pubmed: 27935992
  17. Janabi AHD, Biddle AS, Klein D, McKeever KH. Exercise training‐induced changes in the gut microbiota of Standardbred racehorses.. Comp Exerc Physiol 2016;12:119‐130.
  18. Janabi AHD, Biddle AS, Klein DJ, McKeever KH. The effects of acute strenuous exercise on the faecal microbiota in Standardbred racehorses.. Comp Exerc Physiol 2017;13:13‐24.
  19. Schoster A, Mosing M, Jalali M, Staempfli HR, Weese JS. Effects of transport, fasting and anaesthesia on the faecal microbiota of healthy adult horses.. Equine Vet J 2016;48:595‐602.
    pubmed: 26122549
  20. Kuhn M, Guschlbauer M, Feige K. Feed restriction enhances the depressive effects of erythromycin on equine hindgut microbial metabolism in vitro.. Berl Munch Tierarztl Wochenschr 2012;125:351‐358.
    pubmed: 22919930
  21. Salem SE, Maddox TW, Berg A. Variation in faecal microbiota in a group of horses managed at pasture over a 12‐month period.. Sci Rep 2018;8:8510.
    pmc: PMC5981443pubmed: 29855517
  22. Metcalf JL, Song SJ, Morton JT. Evaluating the impact of domestication and captivity on the horse gut microbiome.. Sci Rep 2017;7:15497.
    pmc: PMC5686199pubmed: 29138485
  23. Willing B, Voros A, Roos S. Changes in faecal bacteria associated with concentrate and forage‐only diets fed to horses in training.. Equine Vet J 2009;41:908‐914.
    pubmed: 20383990
  24. Warzecha CM, Coverdale JA, Janecka JE. Influence of short‐term dietary starch inclusion on the equine cecal microbiome.. J Anim Sci 2017;95:5077‐5090.
    pmc: PMC6095290pubmed: 29293739
  25. Harlow BE, Lawrence LM, Flythe MD. Diarrhea‐associated pathogens, lactobacilli and cellulolytic bacteria in equine feces: responses to antibiotic challenge.. Vet Microbiol 2013;166:225‐232.
    pubmed: 23769300
  26. Costa MC, Stampfli HR, Arroyo LG. Changes in the equine fecal microbiota associated with the use of systemic antimicrobial drugs.. BMC Vet Res 2015;11:19.
    pmc: PMC4323147pubmed: 25644524
  27. 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.. Equine Vet J 2019;51:336‐342.
    pubmed: 30153353
  28. 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 to an elective surgical procedure.. Equine Vet J 2018;51:336‐342.
    pubmed: 30153353
  29. Rothschild D, Weissbrod O, Barkan E. Environment dominates over host genetics in shaping human gut microbiota.. Nature 2018;555:210‐215.
    pubmed: 29489753
  30. Johnson AJ, Vangay P, Al‐Ghalith GA. Daily sampling reveals personalized diet‐microbiome associations in humans.. Cell Host Microbe 2019;25:789‐802.e785.
    pubmed: 31194939
  31. Schmidt M, Unterer S, Suchodolski JS. The fecal microbiome and metabolome differs between dogs fed bones and raw food (BARF) diets and dogs fed commercial diets.. PLoS One 2018;13:e0201279.
    pmc: PMC6093636pubmed: 30110340
  32. Kurowski PB, Traub‐Dargatz JL, Morley PS, Gentry‐Weeks CR. Detection of Salmonella spp in fecal specimens by use of real‐time polymerase chain reaction assay.. Am J Vet Res 2002;63:1265‐1268.
    pubmed: 12224858
  33. Apprill A, McNally S, Parsons R, Weber L. Minor revision to V4 region SSU rRNA 806R gene primer greatly increases detection of SAR11 bacterioplankton.. Aquat Microb Ecol 2015;75:129‐137.
  34. Parada AE, Needham DM, Fuhrman JA. Every base matters: assessing small subunit rRNA primers for marine microbiomes with mock communities, time series and global field samples.. Environ Microbiol 2016;18:1403‐1414.
    pubmed: 26271760
  35. Bolyen E, Rideout JR, Dillon MR. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.. Nat Biotechnol 2019;37:852‐857.
    pmc: PMC7015180pubmed: 31341288
  36. Marsilio S, Pilla R, Sarawichitr B. Characterization of the fecal microbiome in cats with inflammatory bowel disease or alimentary small cell lymphoma.. Sci Rep 2019;9:19208.
    pmc: PMC6914782pubmed: 31844119
  37. Park MJ, Pilla R, Panta A. Reproductive senescence and ischemic stroke remodel the gut microbiome and modulate the effects of estrogen treatment in female rats.. Transl Stroke Res 2019;11:812‐830.
    pubmed: 31845185
  38. Callahan BJ, McMurdie PJ, Rosen MJ. DADA2: high‐resolution sample inference from Illumina amplicon data.. Nat Methods 2016;13:581‐583.
    pmc: PMC4927377pubmed: 27214047
  39. Callahan BJ, McMurdie PJ, Rosen MJ. DADA2: high‐resolution sample inference from Illumina amplicon data.. Nat Methods 2016;13:581‐583.
    pmc: PMC4927377pubmed: 27214047
  40. Song SJ, Amir A, Metcalf JL. Preservation methods differ in fecal microbiome stability, affecting suitability for field studies.. mSystems 2016;1:e00021‐16.
    pmc: PMC5069758pubmed: 27822526
  41. McKinney CA, Oliveira BCM, Bedenice D. The fecal microbiota of healthy donor horses and geriatric recipients undergoing fecal microbial transplantation for the treatment of diarrhea.. PLoS One 2020;15:e0230148.
    pmc: PMC7064224pubmed: 32155205
  42. Ma ZS, Li W. How and why men and women differ in their microbiomes: medical ecology and network analyses of the microgenderome.. Adv Sci (Weinh) 2019;6:1902054.
    pmc: PMC6891928pubmed: 31832327
  43. Bulmer LS, Murray JA, Burns NM. High‐starch diets alter equine faecal microbiota and increase behavioural reactivity.. Sci Rep 2019;9:18621.
    pmc: PMC6901590pubmed: 31819069