Abstract
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
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 language | English |
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| Title of host publication | Proceedings of the British Society of Animal Science |
| Publication status | Print publication - Apr 2020 |
| Event | BSAS Annual Conference 2020: The challenge of change - Nottingham, United Kingdom Duration: 30 Mar 2020 → 1 Apr 2020 |
Conference
| Conference | BSAS Annual Conference 2020 |
|---|---|
| Country/Territory | United Kingdom |
| City | Nottingham |
| Period | 30/03/20 → 1/04/20 |