Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms
The study confirms variations in gut microbiota among Iberian pig strains and their crosses, influenced by genetic and non-genetic factors. ML models, particularly CB and RF, as well as SVM in certain scenarios, combined with a feature selection process, effectively classified genetic groups based on microbiome data and identified key microbial taxa. These taxa were linked to short-chain fatty acids production and lipid metabolism, suggesting microbial composition differences may contribute to variations in fat-related traits among Iberian genetic groups.
Authors
- L. Varona (ORCID: https://orcid.org/0000-0001-6256-5478)
- Cristina Casto‐Rebollo (ORCID: https://orcid.org/0000-0003-4646-345X)
- Marina Martínez-Álvaro (ORCID: https://orcid.org/0000-0003-2295-5839)
- J. Casellas (ORCID: https://orcid.org/0000-0002-4982-3556)
- Sara Negro (ORCID: https://orcid.org/0000-0002-2984-873X)
- Noelia Ibáñez‐Escriche (ORCID: https://orcid.org/0000-0002-6221-3576)
- Lamiae Azouggagh
Institutions
- Universitat Autònoma de Barcelona (ES)
- Universidad de Zaragoza (ES)
- Centro de Investigación y Tecnología Agroalimentaria de Aragón (ES)
- Universitat Politècnica de València (ES)
Publication Details
- Journal
- Animal Microbiome
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1186/s42523-025-00378-z
- Citations
- 4
- Primary Topic
- Animal Behavior and Welfare Studies
- Type
- article
- Field-Weighted Citation Impact
- 9.42
Funders
- Generalitat Valenciana
- Ministerio de Ciencia e Innovación