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Comprehensive functional core microbiome comparison in genetically obese and lean hosts under the same environment

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Comprehensive functional core microbiome comparison in genetically obese and lean hosts under the same environment

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Martinez Alvaro, M.; Zubiri-Gaitán, A.; Hernández, P.; Greenacre, M.; Ferrer, A.; Blasco Mateu, A. (2021). Comprehensive functional core microbiome comparison in genetically obese and lean hosts under the same environment. Communications Biology. 4:1-10. https://doi.org/10.1038/s42003-021-02784-w

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Title: Comprehensive functional core microbiome comparison in genetically obese and lean hosts under the same environment
Author: MARTINEZ ALVARO, MARINA Zubiri-Gaitán, Agostina Hernández, Pilar Greenacre, Michael Ferrer, Alberto Blasco Mateu, Agustín
UPV Unit: Universitat Politècnica de València. Departamento de Ciencia Animal - Departament de Ciència Animal
Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Abstract:
[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 ...[+]
Copyrigths: Reserva de todos los derechos
Source:
Communications Biology. (eissn: 2399-3642 )
DOI: 10.1038/s42003-021-02784-w
Publisher:
Springer Nature
Publisher version: https://doi.org/10.1038/s42003-021-02784-w
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2017-86083-C2-1-P/ES/ESTUDIO MULTIOMICO SOBRE SENSIBILIDAD AMBIENTAL, LONGEVIDAD Y DEPOSICION GRASA EN LINEAS SELECCIONADAS DE CONEJO/
info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//APOSTD%2F2017%2F060//AYUDA POSTDOCTORAL GVA-MARTINEZ ALVARO PROYECTO: INTEGRACION DE LAS OMICAS EN ANIMALES DE GRANJA/
Thanks:
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 ...[+]
Type: Artículo

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