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Equine veterinary journal2019; 52(1); 67-75; doi: 10.1111/evj.13126

A microbiome analysis of equine peripheral dental caries using next generation sequencing.

Abstract: Although, peripheral caries (PC) affects almost half of UK horses, no comprehensive microbiological study has been performed on this disorder. As a high proportion of oral bacteria cannot be conventionally cultured, molecular microbiological techniques such as Next Generation Sequencing are required to examine the complex oral bacteria community. Objective: To identify the microbiota involved in equine PC, including comparing microbiota at the more commonly and severely affected three caudal cheek teeth with the less commonly affected three rostral cheek teeth. Methods: Equine dental plaque samples were collected from the palatal aspects of cheek teeth of 63 horses. DNA was isolated and amplified using PCR, targeting the V4 region of the 16S rRNA gene and Next Generation Sequencing of these gene amplicons was performed. The acquired data were processed and analysed using Mothur and R. Results: Streptococcus species was the genus most commonly associated with equine PC, whereas Gemella species was the genus most associated with the control group. In a further analysis where the rostral and caudal cheek teeth were compared with each other and with the control group. Veillonella species was the most commonly associated genus with PC of the rostral cheek teeth, Streptococcus species was the most associated genus with the caudal cheek teeth, and Corynebacterium with the control group. Conclusions: Some bacteria can have multiple heterogeneous copies of the 16S rRNA gene, which can affect the estimation of their relative abundance. Conclusions: Similar to caries studies in other species, acidogenic and aciduric microorganisms including Streptococcus species were found to be associated with equine peripheral caries.
Publication Date: 2019-05-16 PubMed ID: 31006119DOI: 10.1111/evj.13126Google Scholar: Lookup
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  • Journal Article

Summary

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This research paper is a study on the dental condition known as peripheral caries (PC) in horses, where the role of different bacteria was identified using advanced sequencing techniques.

Introduction and Objectives

  • The study focused on peripheral caries (PC), a dental condition affecting nearly half of horses in the UK. However, there had been no expansive microbiological study on this disorder prior to this research.
  • The main objective was to identify the bacteria involved in equine PC by comparing the bacterial profiles of the three most commonly and severely affected cheek teeth and the three less afflicted on each side of the horse’s mouth.

Methods and Procedures

  • Equine dental plaque samples were collected from various parts of the cheek teeth of 63 different horses.
  • These samples underwent DNA isolation followed by amplification using a Polymerase Chain Reaction (PCR), specifically targeting the V4 region of the 16S rRNA gene.
  • Next generation sequencing techniques were then applied to these amplified gene sections.
  • Resulting data were processed and analysed using software programs Mothur and R.

Results of the Study

  • The researchers found the bacterial genus Streptococcus to be most commonly associated with equine PC, while Gemella was most associated with the non-affected control group.
  • When comparing the front (rostral) and back (caudal) cheek teeth amongst each other and with the control group, Veillonella was most commonly associated with PC in the rostral cheek teeth. Streptococcus was prevalent in the affected caudal cheek teeth, and Corynebacterium was found in the control group.

Conclusion and Implications

  • The researchers warn that bacteria can have multiple variable copies of the 16S rRNA gene, which could impact the estimation of their relative abundance in this kind of study.
  • The study concludes that similar to research in other species, acidogenic and aciduric microorganisms including Streptococcus species were found associated with equine peripheral caries.
  • This research highlights the role of specific bacteria in equine dental disease, potentially assisting in future preventative strategies and treatments for equine dental caries.

Cite This Article

APA
Borkent D, Reardon RJM, McLACHLAN G, Glendinning L, Dixon PM. (2019). A microbiome analysis of equine peripheral dental caries using next generation sequencing. Equine Vet J, 52(1), 67-75. https://doi.org/10.1111/evj.13126

Publication

ISSN: 2042-3306
NlmUniqueID: 0173320
Country: United States
Language: English
Volume: 52
Issue: 1
Pages: 67-75

Researcher Affiliations

Borkent, D
  • Division of Veterinary Clinical Studies, Royal (Dick) School of Veterinary Studies and Roslin Institute, The University of Edinburgh, Midlothian, UK.
Reardon, R J M
  • Division of Veterinary Clinical Studies, Royal (Dick) School of Veterinary Studies and Roslin Institute, The University of Edinburgh, Midlothian, UK.
McLACHLAN, G
  • Division of Veterinary Clinical Studies, Royal (Dick) School of Veterinary Studies and Roslin Institute, The University of Edinburgh, Midlothian, UK.
Glendinning, L
  • Division of Veterinary Clinical Studies, Royal (Dick) School of Veterinary Studies and Roslin Institute, The University of Edinburgh, Midlothian, UK.
Dixon, P M
  • Division of Veterinary Clinical Studies, Royal (Dick) School of Veterinary Studies and Roslin Institute, The University of Edinburgh, Midlothian, UK.

MeSH Terms

  • Animals
  • Bacteria / genetics
  • Bacteria / isolation & purification
  • Dental Caries / microbiology
  • Dental Caries / veterinary
  • Dental Plaque / microbiology
  • Dental Plaque / veterinary
  • High-Throughput Nucleotide Sequencing / veterinary
  • Horse Diseases / microbiology
  • Horses

References

This article includes 45 references
  1. Soames JV, Southam JC. Dental caries. In: Oral Pathology, 4th edn., Eds: J.V. Soames and J.C. Southam, Oxford University Press, Oxford. pp 401-420.
  2. Baker GJ. A study of dental disease in the horse. PhD.
  3. Lundström TS, Dahlen GG, Wattle OS. Caries in the infundibulum of the second upper premolar tooth in the horse. Acta Vet. Scand. 49, 10.
  4. Kennedy R, Lappin DF, Dixon PM, Buijs MJ, Zaura E, Crielaard W, O'Donnell L, Bennett D, Brandt BW, Riggio MP. The microbiome associated with equine periodontitis and oral health. Vet. Res. 47, 49.
  5. Gao W, Chan Y, You M, Lacap-Bugler DC, Leung WK, Watt RM. In-depth snapshot of the equine subgingival microbiome. Microb. Pathog. 94, 76-89.
  6. Borkent D, Reardon RJM, McLachlan J, Smith S, Dixon PM. An epidemiological survey on the prevalence of equine peripheral dental caries in the United Kingdom and possible risk factors for its development. Equine Vet. J. 49, 480-485.
  7. Ramzan PHL, Palmer L. The incidence and distribution of peripheral caries in the cheek teeth of horses and its association with diastemata and gingival recession. Vet. J. 190, 90-93.
  8. Gere I, Dixon PM. Post mortem survey of peripheral dental caries in 510 Swedish horses. Equine Vet. J. 42, 310-315.
  9. Lee L, Reardon RJM, Dixon PM. A post-mortem study on the prevalence of peripheral dental caries in Scottish horses. Equine Vet. Educ. 31, 96-101.
  10. Jackson K, Kelty E, Tennant M. Equine peripheral dental caries: an epidemiological survey assessing prevalence and possible risk factors in Western Australian horses. Equine Vet. J. 50, 79-84.
  11. Syed SA, Loesche WJ. Survival of human dental plaque flora in various transport media. Appl. Microbiol. 24, 638-644.
  12. Borkent D. Microbiology Equine PC versus no PC, Short Read Archive, PRJNA526325. .
  13. Martin M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet. J. 17, 10-12.
  14. Kozich JJ, Westcott SL, Baxter NT, Highlander SK, Schloss PD. Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform. Appl. Environ. Microbiol. 79, 5112-5120.
  15. Schloss PD, Westcott SL, Ryabin T, Hall JR, Hartmann M, Hollister EB, Lesniewski RA, Oakley BB, Parks DH, Robinson CJ, Sahl JW, Stres B, Thallinger GG, Van Horn DJ, Weber CF. Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl. Environ. Microbiol. 75, 7537-7541.
    doi: 10.1128/aem.01541-09google scholar: lookup
  16. Esty WW. The efficiency of good's nonparametric coverage estimator. Ann. Stat. 14, 1257-1260.
  17. Chao A. Nonparametric estimation of the number of classes in a population. Scand. J. Stat. 11, 265-270.
  18. Colwell RK, Coddington JA. Biodiversity: measurement and estimation - Estimating terrestrial biodiversity through extrapolation. Philos. Trans. R. Soc. Lond. B Biol. Sci. 345, 101.
  19. Gotelli NJ, Colwell RK. Estimating species richness. In: Frontiers in Measuring Biodiversity. Eds: A.E. Magurran and B.J. McGill, Oxford University Press, New York, NY. pp 39-54.
  20. Yue JC, Clayton MK. A similarity measure based on species proportions. Commun. Stat. Theory Methods 34, 2123-2131.
  21. Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, Čech M, Chilton J, Clements D, Coraor N, Eberhard C, Grüning B, Guerler A, Hillman-Jackson J, Von Kuster G, Rasche E, Soranzo N, Turaga N, Taylor J, Nekrutenko A, Goecks J. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Res. 44(W1), W3-W10.
  22. Segata N, Izard J, Waldron L, Gevers D, Miropolsky L, Garrett W, Huttenhower C. Metagenomic biomarker discovery and explanation. Genome Biol. 12, R60.
  23. R Core Team. R: A Language and Environment for Statistical Computing. R Core Team, Vienna, Austria. URL http://www.R-project.org/..
  24. Samaranayake L. Essential Microbiology for Dentistry. 4th edn., Elsevier, London.
  25. Karpiński TM, Szkaradkiewicz AK. Microbiology of dental caries. J. Biol. Earth Sci. 3, 4.
  26. Alam S, Brailsford SR, Adams S, Allison C, Sheehy E, Zoitopoulos L, Kidd EA, Beighton D. Genotypic heterogeneity of Streptococcus oralis and distinct aciduric subpopulations in human dental plaque. Appl. Environ. Microbiol. 66, 3330-3336.
  27. Takahashi N, Nyvad B. The role of bacteria in the caries process: ecological perspectives. J. Dent. Res. 90, 294-303.
  28. Peterson SN, Snesrud E, Schork NJ, Bretz WA. Dental caries pathogenicity: a genomic and metagenomic perspective. Int. Dent. J. 61, 11-22.
  29. Loesche WJ, Rowan J, Straffon LH, Loos PJ. Association of Streptococcus mutans with Human Dental Decay. Infect. Immun. 11, 1252-1260.
  30. Gross EL, Beall CJ, Kutsch SR, Firestone ND, Leys EJ, Griffen AL. Beyond Streptococcus mutans: dental caries onset linked to multiple species by 16S rRNA community analysis. PLoS ONE 7, e47722.
  31. Dewhirst FE, Paster BJ, Tzellas N, Coleman B, Downes J, Spratt DA, Wade WG. Characterization of novel human oral isolates and cloned 16S rDNA sequences that fall in the family Coriobacteriaceae: description of olsenella gen. nov., reclassification of Lactobacillus uli as Olsenella uli comb. nov. and description of Olsenella profusa sp. nov.. Int. J. Syst. Evol. Microbiol. 51, 1797-1804.
  32. Kraatz M, Wallace RJ, Svensson L. Olsenella umbonata sp. nov., a microaerotolerant anaerobic lactic acid bacterium from the sheep rumen and pig jejunum, and emended descriptions of Olsenella, Olsenella uli and Olsenella profusa. Int. J. Syst. Evol. Microbiol. 61, 795-803.
  33. Obata J, Takeshita T, Shibata Y, Yamanaka W, Unemori M, Akamine A, Yamashita Y. Identification of the microbiota in carious dentin lesions using 16S rRNA gene sequencing. PLoS ONE 9(e103712), 33.
  34. Chhour KL, Nadkarni MA, Byun R, Martin FE, Jacques NA, Hunter N. Molecular analysis of microbial diversity in advanced caries. J. Clin. Microbiol. 43, 843-849.
  35. Chen L, Qin B, Du M, Zhong H, Xu Q, Li Y, Zhang P, Fan M. Extensive description and comparison of human supra-gingival microbiome in root caries and health. PLoS ONE 10, e0117064.
  36. Aas JA, Griffen AL, Dardis SR, Lee AM, Olsen I, Dewhirst FE, Leys EJ, Paster BJ. Bacteria of dental caries in primary and permanent teeth in children and young adults. J. Clin. Microbiol. 46, 1407-1417.
  37. Peterson SN, Meissner T, Su AI, Snesrud E, Ong AC, Schork NJ, Bretz WA. Functional expression of dental plaque microbiota. Front Cell. Infect. Microbiol. 4, 108.
  38. McLean JS, Fansler SJ, Majors PD, McAteer K, Allen LZ, Shirtliff ME, Lux R, Shi W. Identifying low pH active and lactate-utilizing taxa within oral microbiome communities from healthy children using stable isotope probing techniques. PLoS ONE 7, e32219.
  39. Benítez-Páez A, Belda-Ferre P, Simón-Soro A, Mira A. Microbiota diversity and gene expression dynamics in human oral biofilms. BMC Genom. 15, 311.
  40. Nascimento MM, Zaura E, Mira A, Takahashi N, Ten Cate JM. Second era of OMICS in caries research: moving past the phase of disillusionment. J. Dent. Res. 96, 733-740.
  41. Větrovský T, Baldrian P. The variability of the 16S rRNA gene in bacterial genomes and its consequences for bacterial community analyses. PLoS ONE 8, e57923.
  42. Kang YJ, Cheng J, Mei LJ, Hu J, Piao Z, Yin SX. Multiple copies of 16s rRNA gene affect the restriction patterns and DGGE profile as revealed by analysis of genome database. Mikrobiologiia 79, 664-671.
  43. Sharpton TJ. An introduction to the analysis of shotgun metagenomic data. Front. Plant Sci. 5, 209.
  44. Morrison J, Laurie CC, Marazita ML, Sanders AE, Offenbacher S, Salazar CR, Conomos MP, Thornton T, Jain D, Laurie CA, Kerr KF, Papanicolaou G, Taylor K, Kaste LM, Beck JD, Shaffer JR. Genome-wide association study of dental caries in the Hispanic Communities Health Study/Study of Latinos (HCHS/SOL). Hum. Mol. Genet. 25, 807-816.
  45. Shaffer JR, Feingold E, Wang X, Lee M, Tcuenco K, Weeks DE, Weyant RJ, Crout R, McNeil DW, Marazita ML. GWAS of dental caries patterns in the permanent dentition. J. Dent. Res. 92, 38-44.

Citations

This article has been cited 6 times.
  1. Pimenta J, Pinto AR, Saavedra MJ, Cotovio M. Equine Gram-Negative Oral Microbiota: An Antimicrobial Resistances Watcher?. Antibiotics (Basel) 2023 Apr 21;12(4).
    doi: 10.3390/antibiotics12040792pubmed: 37107153google scholar: lookup
  2. Wu YF, Salamanca E, Chen IW, Su JN, Chen YC, Wang SY, Sun YS, Teng NC, Chang WJ. Xylitol-Containing Chewing Gum Reduces Cariogenic and Periodontopathic Bacteria in Dental Plaque-Microbiome Investigation. Front Nutr 2022;9:882636.
    doi: 10.3389/fnut.2022.882636pubmed: 35634392google scholar: lookup
  3. Townsend KS, Johnson PJ, LaCarrubba AM, Martin LM, Ericsson AC. Exodontia associated bacteremia in horses characterized by next generation sequencing. Sci Rep 2021 Mar 18;11(1):6314.
    doi: 10.1038/s41598-021-85484-zpubmed: 33737590google scholar: lookup
  4. Esberg A, Haworth S, Hasslöf P, Lif Holgerson P, Johansson I. Oral Microbiota Profile Associates with Sugar Intake and Taste Preference Genes. Nutrients 2020 Mar 3;12(3).
    doi: 10.3390/nሃ0681pubmed: 32138214google scholar: lookup
  5. Wang M, Yang X, Li Y, Jiang M, Chen B, Yang W, Ma N, He S, Wang C. Exploring the influence of psychological factors on the comorbidity of dental caries and obesity in adolescents from the perspective of the oral-gut-brain axis. Front Cell Infect Microbiol 2025;15:1659042.
    doi: 10.3389/fcimb.2025.1659042pubmed: 41036228google scholar: lookup
  6. Lacerenza MD, Arantes JA, Reginato GM, Finardi GLF, Marchi PH, Vendramini THA, Corrêa RR, Pereira PAM, Valadão CAA, Dória RGS. Microbiome and Dental Changes in Horses Fed a High Soluble Carbohydrate Diet. Animals (Basel) 2025 Aug 29;15(17).
    doi: 10.3390/ani15172547pubmed: 40941342google scholar: lookup