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Effect of high contents of dietary animal-derived protein or carbohydrates on canine faecal microbiota

Hang, Ingrid, Rinttila, Teemu, Zentek, Jürgen, Kettunen, Anu, Alaja, Susanna, Apajalahti, Juha, Harmoinen, Jaana, de Vos, Willem M, Spillmann, Thomas·2012·BMC Veterinary Research
DOI 10.1186/1746-6148-8-90
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Abstract

Background: Considerable evidence suggests that food impacts both the gastro-intestinal (GI) function and the microbial ecology of the canine GI tract. The aim of this study was to evaluate the influence of high-carbohydrate (HC), high-protein (HP) and dry commercial (DC) diets on the canine colonic microbiota in Beagle dogs. Diets were allocated according to the Graeco-Latin square design. For this purpose, microbial DNA was isolated from faecal samples and separated by density gradient centrifugation, resulting in specific profiling based on the guanine-cytosine content (%G + C). In addition, 16 S rRNA gene amplicons were obtained from the most abundant %G + C peaks and analysed by sequence analysis, producing a total of 720 non-redundant sequences (240 sequences per diet). Results: The DC diet sample showed high abundance of representatives of the orders Clostridiales, Lactobacillales, Coriobacteriales and Bacteroidales. Sequence diversity was highest for DC diet samples and included representatives of the orders Lactobacillales and Bacteroidales, which were not detected in samples from the HP and HC diets. These latter two diets also had reduced levels of representatives of the family Lachnospiraceae, specifically Clostridial cluster XIVa. The HC diet favoured representatives of the order Erysipelotrichales, more specifically the Clostridial cluster XVIII, while the HP diet favoured representatives of the order Fusobacteriales. Conclusions: This study detected Coriobacteriales in dog faeces, possibly due to the non-selective nature of the %G + C profiling method used in combination with sequencing. Moreover, our work demonstrates that the effect of diet on faecal microbiota can be explained based on the metabolic properties of the detected microbial taxa.

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Research works printed but not linked: 34

  1. Hart AL, Stagg AJ, Frame M, Graffner H, Glise H, Falk P, Kamm MA: Review article: the role of the gut flora in health and disease, and its modification as therapy. Aliment Pharmacol Ther. 2002, 16: 1383-1393. 10.1046/j.1365-2036.2002.01310.x. · DOI
  2. Nielsen S, Nielsen DS, Lauritzen L, Jakobsen M, Michaelsen KF: Impact of diet on the intestinal microbiota in 10-month-old infants. J Ped Gastroent Nutr. 2007, 44: 613-618. 10.1097/MPG.0b013e3180406a11. · DOI
  3. Zoran D: Nutritional management of gastrointestinal disease. Clin Tech Small Anim Practice. 2003, 18: 211-217. 10.1016/S1096-2867(03)00074-4. · doi:10.1016/s1096-2867(03)00074-4
  4. Zentek J, Fricke S, Hewicker-Trautwein M, Ehinger B, Amtsberg G, Baums Ch: Dietary protein source and manufacturing processes affect macronutrient digestibility, fecal consistency and presence of fecal Clostridium perfringens in adult dogs. J Nutr. 2004, 134: 2158-2161. · DOI · Paper page
  5. Biagi G, Cipollini I, Grandi M, Zaghini G: Influence of some potential prebiotics and fibre-rich foodstuff on composition and activity of canine intestinal microbiota. Anim Feed Sci and Techn. 2010, 159: 50-58. 10.1016/j.anifeedsci.2010.04.012. · DOI
  6. Wakshlag JJ, Simpson KW, Struble AM, Dowd SE: Negative fecal characteristics are associated with pH and fecal flora alterations during dietary change in dogs. Intern J Appl Res Vet Med. 2011, 9: 278-283.
  7. Hill MJ: Diet and the human intestinal bacterial flora. Cancer Res. 1981, 41: 3778-3780.
  8. Knarreborg A, Simon MA, Engberg RM, Jensen BB, Tannock GW: Effects of dietary fat source and subtherapeutic levels of antibiotic on the bacterial community in the ileum of broiler chickens at various ages. Appl Environ Mircobiol. 2002, 68: 5918-5924. 10.1128/AEM.68.12.5918-5924.2002. · DOI · Paper page
  9. Licht TR, Hansen M, Poulsen M, Dragsted LO: Dietary carbohydrate source influences molecular fingerprints of the rat faecal microbiota. BMC Microbiol. 2006, 6: 98-10.1186/1471-2180-6-98. · DOI
  10. Greetham HL, Giffard C, Hutson RA, Collins MD, Gibson GR: Bacteriology of the Labrador gut: a cultural and genotypic approach. J Appl Microbiol. 2002, 93: 640-646. 10.1046/j.1365-2672.2002.01724.x. · doi:10.1046/j.1365-2672.2002.01724.x
  11. Mentula S, Harmoinen J, Heikkilä M, Westermarck E, Rautio M, Huovinen P, Könönen E: Comparison between cultured small-intestinal and fecal microbiotas in Beagle dogs. Appl Environ Microbiol. 2005, 71: 4169-4175. 10.1128/AEM.71.8.4169-4175.2005. · DOI
  12. Suchodolski JS, Camacho J, Steiner JM: Analysis of bacterial diversity in the canine duodenum, jejunum, ileum, and colon by comparative16S rRNAgene analysis. FEMS Microbiol Ecol. 2008, 66: 567-578. 10.1111/j.1574-6941.2008.00521.x. · DOI · Paper page
  13. Simpson JM, Martineau B, Jones WE, Ballam JM, Mackie RJ: Characterization of fecal bacterial populations in canines: effect of age, breed and dietary fiber. Microb Ecol. 2002, 44: 186-197. 10.1007/s00248-002-0001-z. · DOI · Paper page
  14. Zoetendal EG, Rajilic-Stojanovic M, de Vos WM: High-throughput diversity and functionality analysis of the gastrointestinal tract microbiota. Gut. 2008, 57: 1605-1615. 10.1136/gut.2007.133603. · DOI · Paper page
  15. Salonen A, Nikkilä J, Jalanka-Tuovinen J, Immonen O, Rajilić-Stojanović M, Kekkonen RA, Palva A, de Vos WM: Comparative analysis of fecal DNA extraction methods with phylogenetic microarray: effective recovery of bacterial and archaeal DNA using mechanical cell lysis. J Microbiol Methods. 2010, 81: 127-134. 10.1016/j.mimet.2010.02.007. · DOI · Paper page
  16. Suchodolski JS, Ruaux CG, Steiner JM, Fetz K, Williams DA: Assessment of the qualitative variation in bacterial microflora among compartments of the intestinal tract of dogs by use of a molecular fingerprinting technique. Am J Vet Research. 2005, 66: 1556-1562. 10.2460/ajvr.2005.66.1556. · DOI
  17. Holben WE, Feris KP, Kettunen A, Apajalahti JHA: GC fractionation enhances microbial community diversity assessment and detection of minority populations of bacteria by denaturing gradient gel electrophoresis. Appl Environ Microbiol. 2004, 70: 2263-2270. 10.1128/AEM.70.4.2263-2270.2004. · DOI
  18. Apajalahti JH, Kettunen A, Bedford MR, Holben WE: Percent GC profiling accurately reveals diet-related differences in the gastrointestinal microbial community of broiler chickens. Appl Environ Microbiol. 2001, 67: 5656-5667. 10.1128/AEM.67.12.5656-5667.2001. · DOI · Paper page
  19. Apajalahti JH, Kettunen H, Kettunen A, Holben WE, Nurminen PH, Rautonen N, Mutanen M: Culture-independent microbial community analysis reveals that inulin in the diet primarily affects previously unknown bacteria in the mouse cecum. Appl Environ Microbiol. 2002, 68: 4986-4995. 10.1128/AEM.68.10.4986-4995.2002. · DOI
  20. Krogius-Kurikka L, Kassinen A, Paulin L, Corander J, Mäkivuokko H, Tuimala J, Palva A: Sequence analysis of percent G + C fraction libraries of human faecal bacterial DNA reveals a high number of Actinobacteria. BMC Microbiol. 2009, 9: 68-10.1186/1471-2180-9-68. · DOI
  21. Cummings JH, Macfarlane GT: The control and consequences of bacterial fermentation in the human colon. J Appl Bacteriol. 1991, 70: 443-459. 10.1111/j.1365-2672.1991.tb02739.x. · DOI · Paper page
  22. Gajda M, Flickinger EA, Grieshop CM, Bauer LL, Merchen NR, Fahey GC: Corn hybrid affects in vitro and in vivo measures of nutrient digestibility in dogs. J Anim Sci. 2005, 83: 160-171. · doi:10.2527/2005.831160x
  23. Citron DM: Update on the taxonomy and clinical aspects of the genus fusobacterium. Clin Infect Dis. 2002, 35: 22-27. · DOI
  24. Swidsinski A, Dörffel Y, Loening-Baucke V, Theissig F, Rückert JC, Ismail M, Rau WA, Gaschler D, Weizenegger M, Kühn S, Schilling J, Dörffel WV: Acute appendicitis is characterised by local invasion with Fusobacterium nucleatum/necrophorum. Gut. 2011, 60: 34-40. 10.1136/gut.2009.191320. · DOI · Paper page
  25. Hesta M, Roosen W, Janssens GPJ, Millet S, De Wilde E: Prebiotics affect nutrient digestibility but not faecal ammonia in dogs fed increased dietary protein levels. Br J Nutr. 2003, 90: 1007-1014. 10.1079/BJN2003988. · DOI
  26. Zentek J, Marquart B, Pietrzak T, Ballevre O, Rochat F: Dietary effects on bifidobacteria and Clostridium perfringens in the canine intestinal tract. J Anim Physiol and Anim Nutr. 2003, 87: 397-407. 10.1046/j.0931-2439.2003.00451.x. · DOI
  27. Moore WE, Moore LH: Intestinal floras of populations that have a high risk of colon cancer. Appl Environ Microbiol. 1995, 61: 3202-3207. · DOI · Paper page
  28. Buddington RK: Postnatal changes in bacterial populations in the gastrointestinal tract of dogs. Am J Vet Res. 2003, 64: 646-651. 10.2460/ajvr.2003.64.646. · DOI
  29. Naumann C, Bassler R: Die chemische Untersuchung von Futtermitteln. In Methodenbuch Band III, Edited by Verlag J: 1983.
  30. Apajalahti JH, Särkilahti LK, Mäki BR, Heikkinen JP, Nurminen PH, Holben WE: Effective recovery of bacterial DNA and percent-guanine-plus-cytosine-based analysis of community structure in the gastrointestinal tract of broiler chickens. Appl Environ Microbiol. 1998, 64: 4084-4088. · DOI · Paper page
  31. Holben WE, Harris D: DNA-based monitoring of total bacterial community structure in environmental samples. Mol Ecol. 1995, 4: 627-631. 10.1111/j.1365-294X.1995.tb00263.x. · DOI
  32. Edwards U, Rogall T, Blöcker H, Emde M, Böttger EC: Isolation and direct complete nucleotide determination of entire genes. Characterization of a gene coding for 16 S ribosomal RNA.Nucleic Acids Res. 1989, 17: 7843-7853.
  33. Lane DJ: 16S/23S rRNA sequencing. Nucleic Acid Techniques in Bacterial Systematics. Edited by: Stackebrandt E, Goodfellow M. Wiley, New York; 1991:115-176.
  34. Cole JR, Wang Q, Cardenas E, Fish J, Chai B, Farris RJ, Kulam-Syed-Mohideen AS, McGarrell DM, Marsh T, Garrity GM, Tiedje JM: The Ribosomal Database Project: improved alignments and new tools for rRNA analysis. Nucleic Acids Res. 2009, 37: 141-145. · DOI · Paper page

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Metadata

Authors
Hang, I., Rinttila, T., Zentek, J., Kettunen, A., Alaja, S., Apajalahti, J., Harmoinen, J., de Vos, W. M., & Spillmann, T.
Venue
BMC Veterinary Research
Publisher
Springer Science and Business Media LLC
Published
2012-06-26
Volume
8
Issue
1
ISSN
1746-6148
DOI
10.1186/1746-6148-8-90
Cited by
75
References
4
Language
en

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CoChat. (2026). Citation check: Effect of high contents of dietary animal-derived protein or carbohydrates on canine faecal microbiota. https://app.cochat.ai/papers/10.1186/1746-6148-8-90
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Hang, I., Rinttila, T., Zentek, J., Kettunen, A., Alaja, S., Apajalahti, J., Harmoinen, J., de Vos, W. M., & Spillmann, T. (2012). Effect of high contents of dietary animal-derived protein or carbohydrates on canine faecal microbiota. BMC Veterinary Research. https://doi.org/10.1186/1746-6148-8-90

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