Novel strategies to improve chicken performance and welfare by unveiling host-microbiota interactions through hologenomics
Tous, Núria (Institut de Recerca i Tecnologia Agroalimentàries. Centre de Recerca en Sanitat Animal)
Marcos, Sofia (University of the Basque Country. Applied Genomics and Bioinformatics)
Goodarzi Boroojeni, Farshad (Freie Universität Berlin. Department of Veterinary Medicine)
Pérez de Rozas, Ana (Institut de Recerca i Tecnologia Agroalimentàries. Centre de Recerca en Sanitat Animal)
Zentek, Jürgen (Freie Universität Berlin. Department of Veterinary Medicine)
Estonba, Andone (University of the Basque Country. Applied Genomics and Bioinformatics)
Sandvang, Dorthe (Animal Health Innovation)
Gilbert, M. Thomas P. (Norwegian University of Science and Technology)
Esteve-Garcia, Enric (Institut de Recerca i Tecnologia Agroalimentàries. Centre de Recerca en Sanitat Animal)
Finn, Robert (European Bioinformatics Institute)
Alberdi, Antton (University of Copenhagen. Center for Evolutionary Hologenomics)
Tarradas, Joan (Institut de Recerca i Tecnologia Agroalimentàries. Centre de Recerca en Sanitat Animal)
Date: |
2022 |
Abstract: |
Fast optimisation of farming practices is essential to meet environmental sustainability challenges. Hologenomics, the joint study of the genomic features of animals and the microbial communities associated with them, opens new avenues to obtain in-depth knowledge on how host-microbiota interactions affect animal performance and welfare, and in doing so, improve the quality and sustainability of animal production. Here, we introduce the animal trials conducted with broiler chickens in the H2020 project HoloFood, and our strategy to implement hologenomic analyses in light of the initial results, which despite yielding negligible effects of tested feed additives, provide relevant information to understand how host genomic features, microbiota development dynamics and host-microbiota interactions shape animal welfare and performance. We report the most relevant results, propose hypotheses to explain the observed patterns, and outline how these questions will be addressed through the generation and analysis of animal-microbiota multi-omic data during the HoloFood project. |
Grants: |
European Commission 817729
|
Rights: |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. |
Language: |
Anglès |
Document: |
Article ; recerca ; Versió publicada |
Subject: |
Animal performance ;
Genomics ;
Metagenomics ;
Multi-omics ;
Sustainability |
Published in: |
Frontiers in physiology, Vol. 13 (september 2022) , ISSN 1664-042X |
DOI: 10.3389/fphys.2022.884925
PMID: 36148301
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Record created 2022-10-04, last modified 2023-12-12