ArticleScientific reports2021
The value of gut microbiota to predict feed efficiency and growth of rabbits under different feeding regimes.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Effects of Dietary Protein and Starch Digestion Rates on Jejunal and Cecal Microbial Community States and Feed Efficiency in Raccoon Dogs.Animals : an open access journal from MDPI · 2026Article
- Maternal microbiota in relation to mortality, culling, and offspring survival in rabbits.Journal of animal science · 2026Article
- HoloSimR: a comprehensive framework for simulating breeding programs including the hologenome scenario.Journal of animal science · 2026Article
- Exploring genome, transcriptome, and microbiome interactions related to feed efficiency and methane emissions in Bos indicus through multi-omics network analysis.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- A call to action to address critical flaws and bias in laboratory animal experiments and preclinical research.Scientific reports · 2025Article
- Comparative analysis of cecal microbiota and metabolites in relation to growth performance of Tibetan and Hu sheep.Frontiers in microbiology · 2025Article
- Whole-genome Metagenomic Sequencing Reveals Gut Microbiota Composition and Function Associated with Differential Growth Performance in Two Chicken Breeds.The journal of poultry science · 2025Article
- Parameter Estimation of Host Genomic and Gut Microbiota Contribution to Growth and Feed Efficiency Traits in Meat Rabbits.Microorganisms · 2024Article
- Relationship between feed efficiency and gut microbiota in laying chickens under contrasting feeding conditions.Scientific reports · 2024Article
- The potential of microbiota information to better predict efficiency traits in growing pigs fed a conventional and a high-fiber diet.Genetics, selection, evolution : GSE · 2024Article
- Diversity and Co-Occurrence Pattern Analysis of Cecal and Jejunal Microbiota in Two Rabbit Breeds.Animals : an open access journal from MDPI · 2023Article
- On the holobiont 'predictome' of immunocompetence in pigs.Genetics, selection, evolution : GSE · 2023Article
- Disentangling the causal relationship between rabbit growth and cecal microbiota through structural equation models.Genetics, selection, evolution : GSE · 2022Article
- Use of Bayes factors to evaluate the effects of host genetics, litter and cage on the rabbit cecal microbiota.Genetics, selection, evolution : GSE · 2022Article
- The Effect of Exogenous Lysozyme Supplementation on Growth Performance, Caecal Fermentation and Microbiota, and Blood Constituents in Growing Rabbits.Animals : an open access journal from MDPI · 2022Article
- Chlorogenic acid improves growth performance of weaned rabbitsFrontiers in microbiology · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gut microbiota plays an important role in nutrient absorption and could impact rabbit feed efficiency. 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 efficiency. 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 cage-average traits. The inclusion of microbial information into certain mixed models increased their predictive ability up to 20% and 46% for cage-average feed efficiency 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 efficiency traits, although specific OTUs taxonomically assigned to 5 different phyla have a higher weight. Rabbit growth and feed efficiency are influenced by host cecal microbiota, thus considering microbial information in models improves the prediction of these complex phenotypes.
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