Analyze Diet
PloS one2014; 9(11); e112846; doi: 10.1371/journal.pone.0112846

Faecal microbiota of forage-fed horses in New Zealand and the population dynamics of microbial communities following dietary change.

Abstract: The effects of abrupt dietary transition on the faecal microbiota of forage-fed horses over a 3-week period were investigated. Yearling Thoroughbred fillies reared as a cohort were exclusively fed on either an ensiled conserved forage-grain diet ("Group A"; n = 6) or pasture ("Group B"; n = 6) for three weeks prior to the study. After the Day 0 faecal samples were collected, horses of Group A were abruptly transitioned to pasture. Both groups continued to graze similar pasture for three weeks, with faecal samples collected at 4-day intervals. DNA was isolated from the faeces and microbial 16S and 18S rRNA gene amplicons were generated and analysed by pyrosequencing. The faecal bacterial communities of both groups of horses were highly diverse (Simpson's index of diversity > 0.8), with differences between the two groups on Day 0 (P < 0.017 adjusted for multiple comparisons). There were differences between Groups A and B in the relative abundances of four genera, BF311 (family Bacteroidaceae; P = 0.003), CF231 (family Paraprevotellaceae; P = 0.004), and currently unclassified members within the order Clostridiales (P = 0.003) and within the family Lachnospiraceae (P = 0.006). The bacterial community of Group A horses became similar to Group B within four days of feeding on pasture, whereas the structure of the archaeal community remained constant pre- and post-dietary change. The community structure of the faecal microbiota (bacteria, archaea and ciliate protozoa) of pasture-fed horses was also identified. The initial differences observed appeared to be linked to recent dietary history, with the bacterial community of the forage-fed horses responding rapidly to abrupt dietary change.
Publication Date: 2014-11-10 PubMed ID: 25383707PubMed Central: PMC4226576DOI: 10.1371/journal.pone.0112846Google 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
  • Research Support
  • Non-U.S. Gov't

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.

The study investigates how a sudden change in diet affects the faecal microbiota of forage-fed horses over a span of three weeks. It concludes that the bacterial community in horses’ faecal matter quickly responds to abrupt dietary changes, while the archaeal community remains constant.

Research Methodology

  • The study used year-old Thoroughbred fillies reared together and fed either on an ensiled conserved forage-grain diet (Group A, six horses) or pasture (Group B, six horses) for three weeks prior to the start of the experiment.
  • After initial faecal samples were collected (Day 0), Group A was suddenly switched to a pasture diet. Both groups then continued to graze the same pasture for the next three weeks, with faecal samples collected every four days.
  • DNA was extracted from the faecal samples and microbial 16S and 18S rRNA gene amplicons were produced and studied using pyrosequencing.

Findings

  • Bacterial communities in both groups were highly diverse, with noticeable differences observed between the two groups at the start (Day 0), more prevalent in Group A.
  • Four genera showed differences in their relative abundances between the two groups: BF311 (family Bacteroidaceae), CF231 (family Paraprevotellaceae), and yet-to-be classified members within the order Clostridiales and the family Lachnospiraceae.
  • The bacterial community in Group A horses quickly became like Group B’s within four days of switching to the pasture diet.
  • Despite the dietary change, the structure of the archaeal community, a type of microorganism different from bacteria, stayed the same before and after the dietary changes.

Conclusions

  • The faecal microbiota, which includes bacteria, archaea, and ciliate protozoa, of pasture-fed horses had been identified along the course of the study.
  • The observed initial differences were associated with recent dietary habits, showing that the bacterial community in forage-fed horses’ faecal matter quickly responds to abrupt dietary changes.

Cite This Article

APA
Fernandes KA, Kittelmann S, Rogers CW, Gee EK, Bolwell CF, Bermingham EN, Thomas DG. (2014). Faecal microbiota of forage-fed horses in New Zealand and the population dynamics of microbial communities following dietary change. PLoS One, 9(11), e112846. https://doi.org/10.1371/journal.pone.0112846

Publication

ISSN: 1932-6203
NlmUniqueID: 101285081
Country: United States
Language: English
Volume: 9
Issue: 11
Pages: e112846
PII: e112846

Researcher Affiliations

Fernandes, Karlette A
  • Institute of Veterinary, Animal, and Biomedical Sciences, College of Sciences, Massey University, Palmerston North 4442, New Zealand.
Kittelmann, Sandra
  • AgResearch Ltd, Grasslands Research Centre, Palmerston North 4442, New Zealand.
Rogers, Christopher W
  • Institute of Veterinary, Animal, and Biomedical Sciences, College of Sciences, Massey University, Palmerston North 4442, New Zealand.
Gee, Erica K
  • Institute of Veterinary, Animal, and Biomedical Sciences, College of Sciences, Massey University, Palmerston North 4442, New Zealand.
Bolwell, Charlotte F
  • Institute of Veterinary, Animal, and Biomedical Sciences, College of Sciences, Massey University, Palmerston North 4442, New Zealand.
Bermingham, Emma N
  • AgResearch Ltd, Grasslands Research Centre, Palmerston North 4442, New Zealand.
Thomas, David G
  • Institute of Veterinary, Animal, and Biomedical Sciences, College of Sciences, Massey University, Palmerston North 4442, New Zealand.

MeSH Terms

  • Animal Feed / analysis
  • Animals
  • Archaea / classification
  • Archaea / genetics
  • Bacteria / classification
  • Bacteria / genetics
  • Diet / veterinary
  • Feces / microbiology
  • Horses
  • Microbiota
  • New Zealand
  • Population Dynamics
  • RNA, Ribosomal, 16S / genetics
  • RNA, Ribosomal, 18S / genetics
  • Sequence Analysis, RNA

Conflict of Interest Statement

The authors have declared that no competing interests exist.

References

This article includes 59 references
  1. Janis C. THE EVOLUTIONARY STRATEGY OF THE EQUIDAE AND THE ORIGINS OF RUMEN AND CECAL DIGESTION.. Evolution 1976 Dec;30(4):757-774.
  2. Ley RE, Hamady M, Lozupone C, Turnbaugh PJ, Ramey RR, Bircher JS, Schlegel ML, Tucker TA, Schrenzel MD, Knight R, Gordon JI. Evolution of mammals and their gut microbes.. Science 2008 Jun 20;320(5883):1647-51.
    pmc: PMC2649005pubmed: 18497261doi: 10.1126/science.1155725google scholar: lookup
  3. Cymbaluk NF. Comparison of forage digestion by cattle and horses.. Canadian Journal of Animal Science 70: 601–610.
  4. Vermorel M, Martin-Rosset W. Concepts, scientific bases, structure and validation of the French horse net energy system (UFC).. Livestock Production Science 47: 261–275.
  5. Glinsky MJ, Smith RM, Spires HR, Davis CL. Measurement of volatile fatty acid production rates in the cecum of the pony.. J Anim Sci 1976 Jun;42(6):1465-70.
    pubmed: 931822doi: 10.2527/jas1976.4261465xgoogle scholar: lookup
  6. Al Jassim RA, Andrews FM. The bacterial community of the horse gastrointestinal tract and its relation to fermentative acidosis, laminitis, colic, and stomach ulcers.. Vet Clin North Am Equine Pract 2009 Aug;25(2):199-215.
    pubmed: 19580934doi: 10.1016/j.cveq.2009.04.005google scholar: lookup
  7. Moore BE, Dehority BA. Effects of diet and hindgut defaunation on diet digestibility and microbial concentrations in the cecum and colon of the horse.. J Anim Sci 1993 Dec;71(12):3350-8.
    pubmed: 8294287doi: 10.2527/1993.71123350xgoogle scholar: lookup
  8. Costa MC, Weese JS. The equine intestinal microbiome.. Anim Health Res Rev 2012 Jun;13(1):121-8.
    pubmed: 22626511doi: 10.1017/s1466252312000035google scholar: lookup
  9. Julliand V, de Fombelle A, Drogoul C, Jacotot E. Feeding and microbial disorders in horses: Part 3–Effects of three hay:grain ratios on microbial profile and activities.. Journal of Equine Veterinary Science 543–546.
  10. Muller CE, von Rosen D, Uden P. Effect of forage conservation method on microbial flora and fermentation pattern in forage and in equine colon and faeces.. Livestock Science 119: 116–128.
  11. Willing B, Vörös A, Roos S, Jones C, Jansson A, Lindberg JE. Changes in faecal bacteria associated with concentrate and forage-only diets fed to horses in training.. Equine Vet J 2009 Dec;41(9):908-14.
    pubmed: 20383990doi: 10.2746/042516409x447806google scholar: lookup
  12. Yamano H, Koik S, Kobayashi Y, Hata H. Phylogenetic analysis of hindgut microbiota in Hokkaido native horses compared to light horses.. Animal Science Journal 79: 234–242.
  13. Costa MC, Arroyo LG, Allen-Vercoe E, Stämpfli HR, Kim PT, Sturgeon A, Weese JS. Comparison of the fecal microbiota of healthy horses and horses with colitis by high throughput sequencing of the V3-V5 region of the 16S rRNA gene.. PLoS One 2012;7(7):e41484.
  14. Steelman SM, Chowdhary BP, Dowd S, Suchodolski J, Janečka JE. Pyrosequencing of 16S rRNA genes in fecal samples reveals high diversity of hindgut microflora in horses and potential links to chronic laminitis.. BMC Vet Res 2012 Nov 27;8:231.
    pmc: PMC3538718pubmed: 23186268doi: 10.1186/1746-6148-8-231google scholar: lookup
  15. Dougal K, de la Fuente G, Harris PA, Girdwood SE, Pinloche E, Newbold CJ. Identification of a core bacterial community within the large intestine of the horse.. PLoS One 2013;8(10):e77660.
  16. Dougal K, Harris PA, Edwards A, Pachebat JA, Blackmore TM, Worgan HJ, Newbold CJ. A comparison of the microbiome and the metabolome of different regions of the equine hindgut.. FEMS Microbiol Ecol 2012 Dec;82(3):642-52.
  17. Julliand V, De Fombelle A, Varloud M. Starch digestion in horses: The impact of feed processing.. Livestock Science 100: 44–52.
  18. Van Weyenberg S, Sales J, Janssens GPJ. Passage rate of digesta through the equine gastrointestinal tract: A review.. Livestock Science 99: 3–12.
  19. Milinovich GJ, Trott DJ, Burrell PC, van Eps AW, Thoefner MB, Blackall LL, Al Jassim RA, Morton JM, Pollitt CC. Changes in equine hindgut bacterial populations during oligofructose-induced laminitis.. Environ Microbiol 2006 May;8(5):885-98.
  20. Elliott J, Bailey SR. Gastrointestinal derived factors are potential triggers for the development of acute equine laminitis.. J Nutr 2006 Jul;136(7 Suppl):2103S-2107S.
    pubmed: 16772511doi: 10.1093/jn/136.7.2103sgoogle scholar: lookup
  21. Muhonen S, Wartena FC, Wesker A, Julliand V. Effect of three different forage-based diets on microbial flora, pH and viscosity of the equine hindgut; Ellis AD, Longland AC, Coenen M, Miraglia N, editors.. 196–198 p..
  22. O' Donnell MM, Harris HM, Jeffery IB, Claesson MJ, Younge B, O' Toole PW, Ross RP. The core faecal bacterial microbiome of Irish Thoroughbred racehorses.. Lett Appl Microbiol 2013 Dec;57(6):492-501.
    pubmed: 23889584doi: 10.1111/lam.12137google scholar: lookup
  23. van den Berg M, Hoskin SO, Rogers CW, Grinberg A. Fecal pH and microbial populations in thoroughbred horses during transition from pasture to concentrate feeding.. Journal of Equine Veterinary Science 33: 215–222.
  24. de Fombelle A, Julliand V, Drogoul C, Jacotot E. Feeding and microbial disorders in horses: 1-effects of an abrupt incorporation of two levels of barley in a hay diet on microbial profile and activities.. Journal of Equine Veterinary Science 21: 439–445.
  25. Biddle AS, Black SJ, Blanchard JL. An in vitro model of the horse gut microbiome enables identification of lactate-utilizing bacteria that differentially respond to starch induction.. PLoS One 2013;8(10):e77599.
  26. Rogers CW, Gee EK, Firth EC. A cross-sectional survey of Thoroughbred stud farm management in the North Island of New Zealand.. N Z Vet J 2007 Dec;55(6):302-7.
    pubmed: 18059648doi: 10.1080/00480169.2007.36785google scholar: lookup
  27. Hoskin SO, Gee EK. Feeding value of pastures for horses.. N Z Vet J 2004 Dec;52(6):332-41.
    pubmed: 15768133doi: 10.1080/00480169.2004.36449google scholar: lookup
  28. Hirst RL. Seasonal variation of pasture quality on commercial equine farms in New Zealand: A thesis presented in partial fulfilment of the requirements for the degree of Master of Science.. Palmerston North: Massey University.
  29. Henneke DR, Potter GD, Kreider JL, Yeates BF. Relationship between condition score, physical measurements and body fat percentage in mares.. Equine Vet J 1983 Oct;15(4):371-2.
  30. Bishop L. Growth, voluntary feed intake and digestibility in Thoroughbred weanlings: A thesis presented in partial fulfilment of the requirements for the degree of Master of Science.. Palmerston North: Massey University.
  31. Lueders T, Manefield M, Friedrich MW. Enhanced sensitivity of DNA- and rRNA-based stable isotope probing by fractionation and quantitative analysis of isopycnic centrifugation gradients.. Environ Microbiol 2004 Jan;6(1):73-8.
  32. Kittelmann S, Seedorf H, Walters WA, Clemente JC, Knight R, Gordon JI, Janssen PH. Simultaneous amplicon sequencing to explore co-occurrence patterns of bacterial, archaeal and eukaryotic microorganisms in rumen microbial communities.. PLoS One 2013;8(2):e47879.
  33. Caporaso JG, Lauber CL, Walters WA, Berg-Lyons D, Lozupone CA, Turnbaugh PJ, Fierer N, Knight R. Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.. Proc Natl Acad Sci U S A 2011 Mar 15;108 Suppl 1(Suppl 1):4516-22.
    pmc: PMC3063599pubmed: 20534432doi: 10.1073/pnas.1000080107google scholar: lookup
  34. Fierer N, Hamady M, Lauber CL, Knight R. The influence of sex, handedness, and washing on the diversity of hand surface bacteria.. Proc Natl Acad Sci U S A 2008 Nov 18;105(46):17994-9.
    pmc: PMC2584711pubmed: 19004758doi: 10.1073/pnas.0807920105google scholar: lookup
  35. Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Peña AG, Goodrich JK, Gordon JI, Huttley GA, Kelley ST, Knights D, Koenig JE, Ley RE, Lozupone CA, McDonald D, Muegge BD, Pirrung M, Reeder J, Sevinsky JR, Turnbaugh PJ, Walters WA, Widmann J, Yatsunenko T, Zaneveld J, Knight R. QIIME allows analysis of high-throughput community sequencing data.. Nat Methods 2010 May;7(5):335-6.
    pmc: PMC3156573pubmed: 20383131doi: 10.1038/nmeth.f.303google scholar: lookup
  36. Bragg L, Stone G, Imelfort M, Hugenholtz P, Tyson GW. Fast, accurate error-correction of amplicon pyrosequences using Acacia.. Nat Methods 2012 Apr 27;9(5):425-6.
    pubmed: 22543370doi: 10.1038/nmeth.1990google scholar: lookup
  37. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool.. J Mol Biol 1990 Oct 5;215(3):403-10.
    pubmed: 2231712doi: 10.1016/s0022-2836(05)80360-2google scholar: lookup
  38. McDonald D, Price MN, Goodrich J, Nawrocki EP, DeSantis TZ, Probst A, Andersen GL, Knight R, Hugenholtz P. An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea.. ISME J 2012 Mar;6(3):610-8.
    pmc: PMC3280142pubmed: 22134646doi: 10.1038/ismej.2011.139google scholar: lookup
  39. Edgar RC. Search and clustering orders of magnitude faster than BLAST.. Bioinformatics 2010 Oct 1;26(19):2460-1.
    pubmed: 20709691doi: 10.1093/bioinformatics/btq461google scholar: lookup
  40. Janssen PH, Kirs M. Structure of the archaeal community of the rumen.. Appl Environ Microbiol 2008 Jun;74(12):3619-25.
    pmc: PMC2446570pubmed: 18424540doi: 10.1128/aem.02812-07google scholar: lookup
  41. 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 Jan;41(Database issue):D590-6.
    pmc: PMC3531112pubmed: 23193283doi: 10.1093/nar/gks1219google scholar: lookup
  42. Kuczynski J, Stombaugh J, Walters WA, González A, Caporaso JG, Knight R. Using QIIME to analyze 16S rRNA gene sequences from microbial communities.. Curr Protoc Microbiol 2012 Nov;Chapter 1:Unit 1E.5..
  43. Good IJ. The population frequencies of species and the estimation of population parameters.. Biometrika 40: 237–264.
  44. Esty WW. The efficiency of Good’s nonparametric coverage estimator.. The Annals of Statistics 1257–1260.
  45. Hammer O, Harper DAT, Ryan PD. PAST: Palaeontological statistics software package for education and data analysis.. Plalaeontol Electron 4: 1–9.
  46. Spellerberg IF, Fedor PJ. A tribute to Claude Shannon (1916–2001) and a plea for more rigorous use of species richness, species diversity and the ‘Shannon–Wiener’ Index.. Global Ecology and Biogeography 12: 177–179.
  47. Simpson EH. Measurement of Diversity.. Nature 163: 688–688.
  48. Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S. MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.. Mol Biol Evol 2011 Oct;28(10):2731-9.
    pmc: PMC3203626pubmed: 21546353doi: 10.1093/molbev/msr121google scholar: lookup
  49. Lee CK, Herbold CW, Polson SW, Wommack KE, Williamson SJ, McDonald IR, Cary SC. Groundtruthing next-gen sequencing for microbial ecology-biases and errors in community structure estimates from PCR amplicon pyrosequencing.. PLoS One 2012;7(9):e44224.
  50. Litherland AJ, Woodward SJR, Stevens DR, McDougal DB, Boom CJ. Seasonal variations in pasture quality on New Zealand sheep and beef farms.. New Zealand Society of Animal Production 138–142 p..
  51. Drogoul C, de Fombelle A, Julliand V. Feeding and microbial disorders in horses: 2: Effect of three hay:grain ratios on digesta passage rate and digestibility in ponies.. Journal of Equine Veterinary Science 21: 487–491.
  52. Fernando SC, Purvis HT 2nd, Najar FZ, Sukharnikov LO, Krehbiel CR, Nagaraja TG, Roe BA, Desilva U. Rumen microbial population dynamics during adaptation to a high-grain diet.. Appl Environ Microbiol 2010 Nov;76(22):7482-90.
    pmc: PMC2976194pubmed: 20851965doi: 10.1128/aem.00388-10google scholar: lookup
  53. Rogers CW, Eastwood B, Gee EK, Firth EC. The effect of grain supplementation on the faecal pH of horses maintained on pasture: New Zealand Society of Animal Production.. 165–170 p..
  54. St-Pierre B, Wright AD. Diversity of gut methanogens in herbivorous animals.. Animal 2013 Mar;7 Suppl 1:49-56.
    pubmed: 22717175doi: 10.1017/s1751731112000912google scholar: lookup
  55. Gürelli G, Göçmen B. Intestinal ciliate composition found in the feces of the Turk rahvan horse Equus caballus, Linnaeus 1758.. Eur J Protistol 2011 Nov;47(4):245-55.
    pubmed: 21641779doi: 10.1016/j.ejop.2011.04.005google scholar: lookup
  56. Göçmen B, Gürelli G, Dehority BA. Fecal ciliate composition of Cypriot domestic horses (Equus caballus Linnaeus, 1758).. Turkish Journal of Zoolology 36: 163–170.
  57. Gürelli G, Göçmen B. Intestinal ciliate composition found in the feces of racing horses from Izmir, Turkey.. Eur J Protistol 2012 Aug;48(3):215-26.
    pubmed: 22595651doi: 10.1016/j.ejop.2012.01.002google scholar: lookup
  58. Hastie PM, Mitchell K, Murray JA. Semi-quantitative analysis of Ruminococcus flavefaciens, Fibrobacter succinogenes and Streptococcus bovis in the equine large intestine using real-time polymerase chain reaction.. Br J Nutr 2008 Sep;100(3):561-8.
    pubmed: 18377691doi: 10.1017/s0007114508968227google scholar: lookup
  59. Murray J. Faeces: A model for hindgut function?. Advances in Animal Biosciences 1: 365–365.

Citations

This article has been cited 56 times.