Dynamic modelling of pig gut microbiota

SG Galgano, Helen Kettle, Andrew Free, JGM Houdijk

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Application Manipulations of porcine gut microbiota couldimprove host health and performance. Mathematical modellingcould forecast effects of such interventions prior to application.

Introduction The porcine gut microbiota (PM), composedof a large number of microbial species, has several levelsof interaction with its host such as energy production fromindigestible sources associated with the production of hostbeneficial short chain fatty acids (SCFA). This makes PMmanipulations a valid therapeutic strategy (Fouhse et al., 2016).Nevertheless, PM investigations are both ethically/technicallydemanding and expensive. Therefore, our aim was to developand validate through in vitro experimentation, a mathematicalmodel to predict SCFA and PM changes over time and test insilico interventions
Original languageEnglish
Title of host publicationProceedings of the British Society of Animal Science
Publication statusPrint publication - Apr 2020
EventBSAS Annual Conference 2020: The challenge of change - Nottingham, United Kingdom
Duration: 30 Mar 20201 Apr 2020


ConferenceBSAS Annual Conference 2020
Country/TerritoryUnited Kingdom


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