Review: Towards the next-generation models of the rumen microbiome for enhancing predictive power and guiding sustainable production strategies

• Published in: Animal (Cambridge, England) Vol. 17; no. Suppl. 5; p. 100984
• Main Authors: Muñoz-Tamayo, R., Davoudkhani, M., Fakih, I., Robles-Rodriguez, C.E., Rubino, F., Creevey, C.J., Forano, E.
• Format: Journal Article
• Language: English
• Published: England Elsevier B.V 01.12.2023; Published by Elsevier (since 2021) / Cambridge University Press (until 2020)
• Subjects: Genome-scale metabolic model; Life Sciences; Microbial genomics; Rumen fermentation; Rumen microbiota; Rumen modelling; Rumen microbiota; Rumen modelling; Microbial genomics; Genome-scale metabolic model; Rumen fermentation; Microbial genomics: Rumen fermentation; genome-scale metabolic model

•Current mathematical models of the rumen do not integrate microbial genomic data.•Integrating microbial genomic data can lead to enhanced predictive rumen models.•We discuss two modelling approaches for integrating microbial genomic information.•Genome-based modelling is a potential tool for sustai...