Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-22T18:19:30.231Z Has data issue: false hasContentIssue false
  • English
  • Français

Rapid adaptation of the bacterial community in the growing rabbit caecum after a change in dietary fibre supply

Published online by Cambridge University Press:  22 June 2011

R. J. Michelland ,
S. Combes ,
V. Monteils ,
L. Cauquil ,
T. Gidenne  and
L. Fortun-Lamothe
R. J. Michelland
Affiliation:
INRA, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31326 Castanet-Tolosan, France Université de Toulouse, INPT-ENSAT, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31326 Castanet-Tolosan, France ENVT, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31076 Toulouse, France
S. Combes
Affiliation:
INRA, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31326 Castanet-Tolosan, France Université de Toulouse, INPT-ENSAT, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31326 Castanet-Tolosan, France ENVT, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31076 Toulouse, France
V. Monteils
Affiliation:
INRA, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31326 Castanet-Tolosan, France Université de Toulouse, INPT-ENSAT, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31326 Castanet-Tolosan, France ENVT, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31076 Toulouse, France
L. Cauquil
Affiliation:
INRA, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31326 Castanet-Tolosan, France Université de Toulouse, INPT-ENSAT, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31326 Castanet-Tolosan, France ENVT, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31076 Toulouse, France
T. Gidenne
Affiliation:
INRA, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31326 Castanet-Tolosan, France Université de Toulouse, INPT-ENSAT, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31326 Castanet-Tolosan, France ENVT, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31076 Toulouse, France
L. Fortun-Lamothe*
Affiliation:
INRA, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31326 Castanet-Tolosan, France Université de Toulouse, INPT-ENSAT, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31326 Castanet-Tolosan, France ENVT, UMR 1289 Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme (TANDEM), F-31076 Toulouse, France
*
†E-mail: [email protected].
Get access

Abstract

This work aimed to study the response of the growing rabbit caecal ecosystem (bacterial community and caecal environmental parameters) after a switch from a control to a low-fibre diet (LFD). A group of 160 rabbits were fed ad libitum a control diet (ADF: 20.4%) from weaning (36 days). At 49 days of age (day 0), 75 rabbits were switched to a LFD group (ADF: 10.7%), whereas 85 others (control group) remained on the control diet, for 39 days. Caecal contents were regularly sampled throughout the trial (60 rabbits per group). The bacterial community structure was characterized using CE-SSCP (capillary electrophoresis single strand conformation polymorphism) and total bacteria were quantified using real-time PCR. Redox potential (Eh), pH, NH3-N, volatile fatty acid (VFA) were measured in the caecum to characterize environmental parameters. The reduction of fibre in the diet modified the CE-SSCP profiles (P < 0.001) but not the diversity index (5.6 ± 0.8, ns). The number of 16S rRNA gene copies of total bacteria decreased (P < 0.01) in LFD rabbits compared with controls. In LFD rabbits, the caecal environment was less acid (+0.2 units; P < 0.01), more reductive (−11 mV; P < 0.05) and drier (+3.4 g 100 per g; P < 0.001), with an increase in NH3-N (+77%; P < 0.001) and a decrease in total VFA concentration (−17%; P < 0.001). We found significant correlations between the bacterial community, the quantity of bacteria and the caecal traits of the caecal ecosystem. Indeed, in both groups, the caecal traits barely constrained the total inertia of the CE-SSCP profile set (less than 14%), whereas total bacteria were positively related to total VFA, acetic acid and butyric acid levels, and Eh, and negatively related to pH. All the microbial and environmental modifications had occurred by day 2 and remained stable thereafter. These results suggest that the bacterial community in the growing rabbit caecum is able to adapt quickly after a change to in the dietary fibre supply to reach a new steady-state equilibrium.

Keywords

rabbit caecummicrobiotafibreCE-SSCPbacterianutritional disturbance
Type
Full Paper
Information
animal , Volume 5 , Issue 11 , 26 September 2011 , pp. 1761 - 1768
Copyright
Copyright © The Animal Consortium 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abell, GCJ, McOrist, AL 2007. Assessment of the diversity and stability of faecal bacteria from healthy adults using molecular methods. Microbial Ecology in Health and Disease 19, 229–240.CrossRefGoogle Scholar
Alstin, F, Nilsson, M 1990. The soxtec(r) hydrolysis system improves the official methods for determining total fat content. Industries Alimentaires et Agricoles 107, 1271–1274.Google Scholar
Bennegadi-Laurent, N, Gidenne, T, Licois, D 2004. Nutritional and sanitary statuses alter postweaning development of caecal microbial activity in the rabbit. Comparative Biochemistry and Physiology 139, 293–300.CrossRefGoogle ScholarPubMed
Bennegadi, N, Gidenne, T, Licois, D 2001. Impact of fibre deficiency and sanitary status on non-specific enteropathy of the growing rabbit. Animal Research 50, 401–413.CrossRefGoogle Scholar
Bennegadi, N, Fonty, G, Millet, L, Gidenne, T, Licois, D 2003. Effects of age and dietary fibre level on caecal microbial communities of conventional and specific pathogen-free rabbits. Microbial Ecology in Health and Disease 5, 23–32.CrossRefGoogle Scholar
Boulahrouf, A, Fonty, G, Gouet, P 1991. Establishment, counts and identification of the fibrolytic bacteria in the digestive tract of rabbit. Influence of feed cellulose content. Current Microbiology 22, 1–25.CrossRefGoogle Scholar
Carabaño, R, Badiola, I, Chamorro, S, Garcia, J, Garcia-Juiz, AI, Garcia-Rebollar, P, Gomez-Conde, MS, Guttiérez, I, Nicodemus, N, Villmaide, MJ, De Blas, C 2008. Review: New trends in rabbit feeding: influence of nutrition on intestinal health. Spanish Journal of Agricultural Research 6 special issue, 15–25.CrossRefGoogle Scholar
Cardinale, BJ, Palmer, MA, Collins, SL 2002. Species diversity enhances ecosystem functioning through interspecific facilitation. Nature 415, 426–429.CrossRefGoogle ScholarPubMed
De Fombelle, A, Julliand, V, Drogoul, C, Jacotot, E 2001. 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.CrossRefGoogle Scholar
Delbès, C, Moletta, R, Godon, JJ 2000. Monitoring of activity dynamics of an anaerobic digester bacterial community using 16S rRNA polymerase chain reaction single-strand conformation polymorphism analysis. Environmental Microbiology 2, 506–515.CrossRefGoogle ScholarPubMed
Edwards, CH, Gilson, G, Champ, M, Jensen, B, Mathers, J, Nagengast, F, Rumney, C, Quehl, A 1996. In vitro method for quantification of fermentation of starch by human faecal bacteria. Journal of the Science of Food and Agriculture 71, 209–217.3.0.CO;2-4>CrossRefGoogle Scholar
European Group for Rabbit Nutrition (EGRAN) 2001. Technical note: attempts to harmonise chemical analyses of feeds and faeces, for rabbit feed evaluation. World Rabbit Science 9, 57–64.Google Scholar
Falcão-e-Cunha, L, Peres, H, Freire, JPB, Castro-Solla, L 2004. Effects of alfalfa, wheat bran or beet pulp, with or without sunflower oil, on caecal fermentation and on digestibility in the rabbit. Animal Feed Science and Technology 117, 131–149.CrossRefGoogle Scholar
Gidenne, T 1997. Caeco-colic digestion in the growing rabbit: impact of nutritional factors and related disturbances. Livestock Production Science 51, 73–88.CrossRefGoogle Scholar
Gidenne, T 2003. Fibres in rabbit feeding for digestive troubles prevention: respective role of low-digested and digestible fibre. Livestock Production Science 81, 105–117.CrossRefGoogle Scholar
Gidenne, T, Bellier, R 2000. Use of digestible fibre in replacement to available carbohydrates. Effect on digestion, rate of passage and caecal fermentation pattern during the growth of the rabbit. Livestock Production Science 63, 141–152.CrossRefGoogle Scholar
Gidenne, T, Combes, S, Licois, D, Carabaño, R, Badiola, I, Garcia, J 2008. Ecosystème caecal et nutrition du lapin: interactions avec la santé digestive. INRA Productions Animales 21, 239–250.CrossRefGoogle Scholar
Garcia, J, Gidenne, T, Falcao, E, Cunha, L, De Blas, C 2002. Identification of the main factors that influence caecal fermentation traits in growing rabbits. Animal Research 51, 165–173.CrossRefGoogle Scholar
Gomez-Conde, MS, de Rozas, AP, Badiola, I, Pérez-Alba, L, de Blas, C, Carabaño, R, García, J 2009. Effect of neutral detergent soluble fibre on digestion, intestinal microbiota and performance in twenty five day old weaned rabbits. Livestock Science 125, 192–198.CrossRefGoogle Scholar
Jia, J, Frantz, N, Khoo, C, Gibson, GR, Rastall, RA, McCartney, AL 2010. Investigation of the faecal microbiota associated with canine chronic diarrhoea. FEMS Microbiology Ecology 71, 304–312.CrossRefGoogle ScholarPubMed
Kamra, DN 2005. Rumen microbial ecosystem. Current Science 89, 124–135.Google Scholar
Kimsé, M, Monteils, V, Bayourthe, C, Gidenne, T 2009. A new method to measure the redox potential (Eh) in rabbit caecum: relationship with pH and fermentation pattern. World Rabbit Science 17, 63–70.Google Scholar
Krom, MD 1980. Spectrophotometric determination of ammonia. The Analyst 105, 305–316.CrossRefGoogle Scholar
Langsrud, Ø 2002. 50–50 multivariate analysis of variance for collinear responses. The Statistician 51, 305–317.CrossRefGoogle Scholar
Langsrud, Ø 2005. Rotation tests. Statistics and Computing 15, 53–60.CrossRefGoogle Scholar
Legendre, P, Legendre, L 1998. Numerical ecology. Elsevier, Amsterdam, The Netherlands.Google Scholar
Leser, TD, Lindecrona, RH, Jensen, TK, Jensen, BB, Moller, K 2000. Changes in bacterial community structure in the colon of pigs fed different experimental diets and after infection with Brachyspira hyodysenteriae. Applied and Environmental Microbiology 66, 3290–3296.CrossRefGoogle ScholarPubMed
Metzler, BU, Vahjen, W, Baumgärtel, T, Rodehutscord, M, Mosenthin, R 2009. Changes in bacterial populations in the ileum of pigs fed low-phosphorus diets supplemented with different sources of fermentable carbohydrates. Animal Feed Science and Technology 148, 68–89.CrossRefGoogle Scholar
Michelland, RJ, Dejean, S, Combes, S, Fortun-Lamothe, L, Cauquil, L 2009a. StatFingerprints: a friendly graphical interface program for processing and analysis of microbial fingerprint profiles. Molecular Ecology Resources 9, 1359–1363.CrossRefGoogle ScholarPubMed
Michelland, RJ, Combes, S, Monteils, V, Cauquil, L, Gidenne, T, Fortun-Lamothe, L 2009b. Molecular analysis of the bacterial community in digestive tract of rabbit. Anaerobe 16, 61–65.CrossRefGoogle ScholarPubMed
Montagne, L, Pluske, JR, Hampson, DJ 2003. A review of interactions between dietary fibre and the intestinal mucosa, and their consequences on digestive health in young non-ruminant animals. Animal Feed Science and Technology 108, 95–117.CrossRefGoogle Scholar
Monteils, V, Cauquil, L, Combes, S, Godon, JJ, Gidenne, T 2008. Potential core species and satellite species in the bacterial community within the rabbit caecum. FEMS Microbiology Ecology 66, 620–629.CrossRefGoogle ScholarPubMed
Monteils, MJ 1985. Determination of ethanol, volatile fatty acids, lactic and succinic acids in fermentation liquids by gas chromatography. Journal of the Science of Food and Agriculture 36, 638–644.Google Scholar
R Development Core Team 2008. R: a language and environment for statistical computing. In R Foundation for Statistical Computing. Retrieved June 6, 2007, from http://www.R-project.org, Vienna, Austria.Google Scholar
Rosenzweig, ML 1995. Species diversity in space and time. Cambridge University Press, Cambridge, UK.CrossRefGoogle Scholar
Sauvant, D, Perez, JM, Tran, G 2004. Tables de composition et de valeur nutritive des matières premières destinées aux animaux d’élevage: porc, volailles, bovins, ovins,caprins, lapins, chevaux, poissons 2ème Edition revue et corrigée. INRA Editions, Paris, France.Google Scholar
Simpson, JM, Martineau, B, Jones, WE, Ballam, JM, Mackie, RI 2002. Characterization of fecal bacterial populations in canines: effects of age, breed and dietary fiber. Microbial Ecology 44, 186–197.CrossRefGoogle ScholarPubMed
Suzuki, MT, Taylor, LT, DeLong, EF 2000. Quantitative analysis of small-subunit rRNA genes in mixed microbial populations via 5’-nuclease assays. Applied and Environmental Microbiology 66, 4605–4614.CrossRefGoogle Scholar
Van Soest, PJ, Robertson, JB, Lewis, BA 1991. Methods for dietary fiber, neutral detergent fiber, and non starch polysaccharides in relation to animal nutrition. Journal of Dairy Science 74, 3583–3597.CrossRefGoogle ScholarPubMed
Zoetendal, EG, Collier, CT, Koike, S, Mackie, RI, Gaskins, HR 2004. Molecular ecological analysis of the gastrointestinal microbiota: a review. Journal of Nutrition 134, 465–472.CrossRefGoogle ScholarPubMed
Zumstein, E, Moletta, R, Godon, JJ 2000. Examination of two years of community dynamics in an anaerobic bioractor using fluorescence polymerase chain reaction (PCR) single-strand conformation polymorphism analysis. Environmental Microbiology 2, 69–78.CrossRefGoogle Scholar