The value of gut microbiota to predict feed efficiency and growth of rabbits under different feeding regimes

Abstract

Gut microbiota plays an important role in nutrient absorption and could impact rabbit feed efciency. This study aims at investigating such impact by evaluating the value added by microbial information for predicting individual growth and cage phenotypes related to feed efciency. The dataset comprised individual average daily gain and cage-average daily feed intake from 425 meat rabbits, in which cecal microbiota was assessed, and their cage mates. Despite microbiota was not measured in all animals, consideration of pedigree relationships with mixed models allowed the study of cageaverage traits. The inclusion of microbial information into certain mixed models increased their predictive ability up to 20% and 46% for cage-average feed efciency and individual growth traits, respectively. These gains were associated with large microbiability estimates and with reductions in the heritability estimates. However, large microbiabililty estimates were also obtained with certain models but without any improvement in their predictive ability. A large proportion of OTUs seems to be responsible for the prediction improvement in growth and feed efciency traits, although specifc OTUs taxonomically assigned to 5 diferent phyla have a higher weight. Rabbit growth and feed efciency are infuenced by host cecal microbiota, thus considering microbial information in models improves the prediction of these complex phenotypes.