Raphaële Gresse1,2, Frédérique Chaucheyras-Durand1,2, Sylvain Denis1, Martin Beaumont3, Tom Van de Wiele4, Evelyne Forano1, Stéphanie Blanquet-Diot5. 1. Université Clermont Auvergne, INRAE, UMR 454 MEDIS, F-63000, Clermont-Ferrand, France. 2. Lallemand SAS, F-31702, Blagnac, Cedex, France. 3. GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326, Castanet-Tolosan, France. 4. Ghent University, Center for Microbial Ecology and Technology, B-9000, Ghent, Belgium. 5. Université Clermont Auvergne, INRAE, UMR 454 MEDIS, F-63000, Clermont-Ferrand, France. stephanie.blanquet@uca.fr.
Abstract
BACKGROUND: Risk factors for the etiology of post-weaning diarrhea, a major problem in swine industry associated with enormous economic losses, remain to be fully elucidated. In concordance with the ethical concerns raised by animal experiments, we developed a new in vitro model of the weaning piglet colon (MPigut-IVM) including a mucin bead compartment to reproduce the mucus surface from the gut to which gut microbes can adhere. RESULTS: Our results indicated that the MPigut-IVM is able to establish a representative piglet archaeal and bacterial colon microbiota in terms of taxonomic composition and function. The MPigut-IVM was consequently used to investigate the potential effects of feed deprivation, a common consequence of weaning in piglets, on the microbiota. The lack of nutrients in the MPigut-IVM led to an increased abundance of Prevotellaceae and Escherichia-Shigella and a decrease in Bacteroidiaceae and confirms previous in vivo findings. On top of a strong increase in redox potential, the feed deprivation stress induced modifications of microbial metabolite production such as a decrease in acetate and an increase in proportional valerate, isovalerate and isobutyrate production. CONCLUSIONS: The MPigut-IVM is able to simulate luminal and mucosal piglet microbiota and represent an innovative tool for comparative studies to investigate the impact of weaning stressors on piglet microbiota. Besides, weaning-associated feed deprivation in piglets provokes disruptions of MPigut-IVM microbiota composition and functionality and could be implicated in the onset of post-weaning dysbiosis in piglets.
BACKGROUND: Risk factors for the etiology of post-weaning diarrhea, a major problem in swine industry associated with enormous economic losses, remain to be fully elucidated. In concordance with the ethical concerns raised by animal experiments, we developed a new in vitro model of the weaning piglet colon (MPigut-IVM) including a mucin bead compartment to reproduce the mucus surface from the gut to which gut microbes can adhere. RESULTS: Our results indicated that the MPigut-IVM is able to establish a representative piglet archaeal and bacterial colon microbiota in terms of taxonomic composition and function. The MPigut-IVM was consequently used to investigate the potential effects of feed deprivation, a common consequence of weaning in piglets, on the microbiota. The lack of nutrients in the MPigut-IVM led to an increased abundance of Prevotellaceae and Escherichia-Shigella and a decrease in Bacteroidiaceae and confirms previous in vivo findings. On top of a strong increase in redox potential, the feed deprivation stress induced modifications of microbial metabolite production such as a decrease in acetate and an increase in proportional valerate, isovalerate and isobutyrate production. CONCLUSIONS: The MPigut-IVM is able to simulate luminal and mucosal piglet microbiota and represent an innovative tool for comparative studies to investigate the impact of weaning stressors on piglet microbiota. Besides, weaning-associated feed deprivation in piglets provokes disruptions of MPigut-IVM microbiota composition and functionality and could be implicated in the onset of post-weaning dysbiosis in piglets.
Entities:
Keywords:
Colon; Dysbiosis; In vitro gut model; Microbiota; Mucin; Piglet; Weaning
Authors: E M A M Bruininx; G P Binnendijk; C M C van der Peet-Schwering; J W Schrama; L A den Hartog; H Everts; A C Beynen Journal: J Anim Sci Date: 2002-06 Impact factor: 3.159
Authors: Brenda De Rodas; Bonnie P Youmans; Jessica L Danzeisen; Huyen Tran; Timothy J Johnson Journal: J Anim Sci Date: 2018-05-04 Impact factor: 3.159
Authors: Raphaële Gresse; Frédérique Chaucheyras-Durand; Juan J Garrido; Sylvain Denis; Angeles Jiménez-Marín; Martin Beaumont; Tom Van de Wiele; Evelyne Forano; Stéphanie Blanquet-Diot Journal: Front Microbiol Date: 2021-07-19 Impact factor: 5.640