Litcius/Paper detail

Apart From the Diet, the Ruminal Microbiota of Lambs Is Modified in Relation to Their Genetic Potential for Feed Efficiency or Feeding Behavior

Christel Marie‐Etancelin, Flavie Tortereau, Béatrice Gabinaud, Guillermo Martinez Boggio, Quentin Le Graverand, Didier Marcon, Marie‐léa de Almeida, Géraldine Pascal, Jean‐Louis Weisbecker, Annabelle Meynadier

2021Frontiers in Microbiology18 citationsDOIOpen Access PDF

Abstract

Using two successive types of diets (100% concentrate and 67% forage), this study explores the relationship between the ruminal microbiota of 78 Romane lambs and their feed efficiency (residual feed intake trait) or feeding behavior (feeding rate trait). Analysis was carried out phenotypically by correlating feed efficiency or feeding behavior traits with the relative abundance of bacteria at the phylum, family, and genus levels, and then genetically by comparing the microbiota of lambs selected for extreme breeding values for residual feed intake or feeding rate. Our results confirmed the major effect of diet on the ruminal microbiota composition. The microbiota of lambs consuming a forage-based diet was distinguished by higher microbial diversity and also by higher relative abundance of Firmicutes , whereas Bacteriodetes and Actinobacteria were relatively more abundant in the microbiota of lambs consuming a concentrate-based diet. Moreover, the comparison of lambs divergent for residual feed intake breeding values revealed that regardless of diet, more efficient lambs possessed a ruminal microbiota enriched in Coprococcus, Moryella, [Eubacterium] Brachy group , and [Eubacterium] hallii group , but depleted in Lachnospiraceae FD2005 and Shuttleworthia . The connection between microbiota composition and feeding rate was more tenuous, with no link between the abundance of particular genera and lambs genetically divergent for feeding rate.

Topics & Concepts

BiologyAnimal scienceRelation (database)RumenFood scienceFeeding behaviorWestern dietBiotechnologyObesityFermentationEndocrinologyComputer scienceDatabaseRuminant Nutrition and Digestive PhysiologyTurfgrass Adaptation and ManagementGut microbiota and health