Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms DOI Creative Commons

Lamiae Azouggagh,

Noelia Ibáñez‐Escriche, Marina Martínez-Álvaro

et al.

Animal Microbiome, Journal Year: 2025, Volume and Issue: 7(1)

Published: Feb. 3, 2025

There is a growing interest in uncovering the factors that shape microbiome composition due to its association with complex phenotypic traits livestock. Host genetic variation increasingly recognized as major factor influencing microbiome. The Iberian pig breed, known for high-quality meat products, includes various strains and variability. However, despite microbiome's impact on pigs' productive phenotypes such quality traits, comparative analyses of gut microbial across are lacking. This study aims explore microbiota two strains, Entrepelado (n = 74) Retinto 63), their reciprocal crosses 100), using machine learning (ML) models identify key taxa relevant distinguishing backgrounds, which holds potential application industry. Nine ML algorithms, including tree-based, kernel-based, probabilistic, linear were used. Beta diversity analysis 16 S rRNA data revealed compositional divergence among genetic, age batch groups. exploring maternal, paternal heterosis effects showed varying levels classification performance, effect scenario being best, achieving mean Area Under ROC curve (AUROC) 0.74 Catboost (CB) algorithm. most genetically distant animals, purebreds, more easily discriminated models. reached highest AUROC 0.83 Support Vector Machine (SVM) model. genera this performance Acetitomaculum, Butyricicoccus Limosilactobacillus. All exhibited differential abundance between purebred animals Bayesian confirms variations crosses, influenced by non-genetic factors. models, particularly CB RF, well SVM certain scenarios, combined feature selection process, effectively classified groups based identified taxa. These linked short-chain fatty acids production lipid metabolism, suggesting differences may contribute fat-related

Language: Английский

The research progress on the impact of pig gut microbiota on health and production performance DOI Creative Commons
Jing Wang, Tiejun Tong, Changqing Yu

et al.

Frontiers in Veterinary Science, Journal Year: 2025, Volume and Issue: 12

Published: March 5, 2025

Porcine gut microbiota plays a crucial role in the health and productive performance of pigs, influencing nutrient absorption, feed conversion efficiency, ultimately, production profitability. In addition to being primary site digestion, intestine houses pig's largest immune organ, where microbial community is essential for overall well-being. During piglet stage, undergoes dynamic evolution, gradually adapting host environment. This plasticity presents opportunities intervene optimize its composition from early stages, enhancing animal development. Among key factors this process, dietary fiber fundamental role, as fermentation by directly affects functionality, particularly distal small intestine, colon, rectum. The short-chain fatty acids produced during process not only provide continuous energy intestinal cells but also regulate responses, prevent infections, contribute body's homeostasis, promoting healthy growth. Despite advancements understanding host-microbiota interactions, there still no clear consensus on optimal balance or precise definition microbiota. Current research aims identify that modulate gastrointestinal physiological functions. Future findings will aid developing strategies restore homeostasis after external disruptions, such stress, antibiotic use, thereby improving productivity, reducing stress-related impacts, preventing diseases pig production.

Language: Английский

Citations

0
Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms DOI Creative Commons

Lamiae Azouggagh,

Noelia Ibáñez‐Escriche, Marina Martínez-Álvaro

et al.

Animal Microbiome, Journal Year: 2025, Volume and Issue: 7(1)

Published: Feb. 3, 2025

There is a growing interest in uncovering the factors that shape microbiome composition due to its association with complex phenotypic traits livestock. Host genetic variation increasingly recognized as major factor influencing microbiome. The Iberian pig breed, known for high-quality meat products, includes various strains and variability. However, despite microbiome's impact on pigs' productive phenotypes such quality traits, comparative analyses of gut microbial across are lacking. This study aims explore microbiota two strains, Entrepelado (n = 74) Retinto 63), their reciprocal crosses 100), using machine learning (ML) models identify key taxa relevant distinguishing backgrounds, which holds potential application industry. Nine ML algorithms, including tree-based, kernel-based, probabilistic, linear were used. Beta diversity analysis 16 S rRNA data revealed compositional divergence among genetic, age batch groups. exploring maternal, paternal heterosis effects showed varying levels classification performance, effect scenario being best, achieving mean Area Under ROC curve (AUROC) 0.74 Catboost (CB) algorithm. most genetically distant animals, purebreds, more easily discriminated models. reached highest AUROC 0.83 Support Vector Machine (SVM) model. genera this performance Acetitomaculum, Butyricicoccus Limosilactobacillus. All exhibited differential abundance between purebred animals Bayesian confirms variations crosses, influenced by non-genetic factors. models, particularly CB RF, well SVM certain scenarios, combined feature selection process, effectively classified groups based identified taxa. These linked short-chain fatty acids production lipid metabolism, suggesting differences may contribute fat-related

Language: Английский

Citations

0