Comprehensive functional core microbiome comparison in genetically obese and lean hosts under the same environment
| Autor: | Pilar Hernández, Agostina Zubiri-Gaitán, Agustín Blasco, Alberto Ferrer, Michael Greenacre, Marina Martínez-Álvaro |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Male
Genotype QH301-705.5 ESTADISTICA E INVESTIGACION OPERATIVA Medicine (miscellaneous) PRODUCCION ANIMAL Biology General Biochemistry Genetics and Molecular Biology Article Caecum Genetics Animals Microbiome Obesity Biology (General) Gene Genetic association study Bacteria Microbiota Mucin biology.organism_classification Phenotype Metagenomics Female Intramuscular fat Rabbits General Agricultural and Biological Sciences |
| Zdroj: | Communications Biology Communications Biology, Vol 4, Iss 1, Pp 1-10 (2021) RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| ISSN: | 2399-3642 |
| Popis: | [EN] Our study provides an exhaustive comparison of the microbiome core functionalities (captured by 3,936 microbial gene abundances) between hosts with divergent genotypes for intramuscular lipid deposition. After 10 generations of divergent selection for intramuscular fat in rabbits and 4.14 phenotypic standard deviations (SD) of selection response, we applied a combination of compositional and multivariate statistical techniques to identify 122 cecum microbial genes with differential abundances between the lines (ranging from ¿0.75 to +0.73¿SD). This work elucidates that microbial biosynthesis lipopolysaccharides, peptidoglycans, lipoproteins, mucin components, and NADH reductases, amongst others, are influenced by the host genetic determination for lipid accretion in muscle. We also differentiated between host-genetically influenced microbial mechanisms regulating lipid deposition in body or intramuscular reservoirs, with only 28 out of 122 MGs commonly contributing to both. Importantly, the results of this study are of relevant interest for the efficient development of strategies fighting obesity. We acknowledge Prof. J.J. Egozcue and V. Pawlosky for their advice in the analysis of compositional data. This work was supported by project AGL2017-86083-C2-1-P from the Spanish National research plan. M. Martinez-alvaro acknowledges a post-doctoral grant (APOSTD/2017/060) from Generalitat Valenciana |
| Databáze: | OpenAIRE |
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