Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms.

ABSTRACT:

Background

There is a growing interest in uncovering the factors that shape microbiome composition due to its association with complex phenotypic traits in livestock. Host genetic variation is increasingly recognized as a major factor influencing the microbiome. The Iberian pig breed, known for its high-quality meat products, includes various strains with recognized genetic and phenotypic variability. However, despite the microbiome's known impact on pigs' productive phenotypes such as meat quality traits, comparative analyses of gut microbial composition across Iberian pig strains are lacking. This study aims to explore the gut microbiota of two Iberian pig strains, Entrepelado (n = 74) and Retinto (n = 63), and their reciprocal crosses (n = 100), using machine learning (ML) model

SUBMITTER: Azouggagh L 

PROVIDER: S-EPMC11789298 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature