Digital frukost: Digital optimization of the feed-microbiome-host axis
How can knowledge about the genetic and physiological relationship between the host animal, its environment and its microbiome help develop sustainable practices in the production of animal products?
Deadline for registration: 27 May.
The human population surges towards 10 billion, which means the production and consumption of animal products is expanding. This creates pressure to further develop efficient and sustainable practices, such as optimizing feed conversion, improving animal welfare and mitigating harmful byproducts such as greenhouse gases (GHG). One promising route to achieve this, is combining the use of functional feed materials with a deeper understanding of the intimate genetic and physiological connection between animals and their microbiomes.
Message from the speaker, Phil Pope (NMBU): The Microbial Ecology and Meta-Omics (MEMO) group applies interdisciplinary approaches to study the microbiomes inhabiting digestive systems, including important production animals (cows, pigs and salmon), wild herbivores (moose, reindeer) as well as humans. Key MEMO research interests are using multi-omic tools to deconvolute the intimate genetic and physiological relationship between the host animal, its environment and its microbiome. We combine analytical metadata, biochemistry and growth experiments with metabolic reconstructions of population genomes to visualize flow of metabolites in complex microbiomes, and have used temporal meta-omics and co-expression network analysis to interpret synergistic interactions between fiber-degrading and methanogenic microbial populations. We are now seeking to expand these approaches to envelop additional “molecular layers” from the animal holobiont (i.e. host transcriptome and proteome), a concept otherwise known as “holo-omics”.
About the seminar series
"Digital Frukost" is an open breakfast seminar series focusing on research activities at the interface between the biological sciences and that of mathematics, computer science, physics, engineering or social sciences. Examples of such research activities could be mathematical or computational modeling of biological systems, application of engineering/control systems theory on biological systems or inspired by biological systems, application of mathematics/statistics/machine learning to analyze big data in health or marine sector; from sensor systems, imaging, omics technologies, policy making based on scientific models etc.
We look forward to your participation!
Ragnhild Inderberg Vestrum, email@example.com