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Unified computational solutions to disentangle biological interactions in multi-omics data

Objective

Animal and plant microbiome functions can be modulated, and thereby optimized, for sustainable food production. However, the outcome, i.e., the microbial response, can vary greatly depending on (e.g.)Animal and plant microbiome functions can be modulated, and thereby optimized, for sustainable food production. However, the outcome, i.e., the microbial response, can vary greatly depending on (e.g.) the genetic background and developmental stage of the host, and the farming environment. The interactions between the biological process of the host and their microbiome are still only superficially understood, even though microbial interventions have been used for years. This incomplete understanding means that new attempts to improve microbiome functions are both inefficient and costly, and unlikely to hit upon the optimal solutions. An approach that recognizes the intimate biological interactions between host genome and microbiome functions holds the potential to greatly reduce cost and improve the outcome.
To that end, FindingPheno will develop a holistic statistical framework to decipher biomolecular interactions between host and microbiome by combining biological knowledge and state-of-the-art statistical methods: structural causal modelling, variable selection, dimensionality reduction and feature detection. We will then apply the framework to case studies from actual food production systems, using a unique multi-omics data set from three biological systems – chicken, salmon and maize – derived from ongoing research projects. In addition, we demonstrate the utility of the framework to obtain biological insights from publicly available data sets from tomato and bees.
We expect to show how to improve the effectiveness of microbiome interventions in sustainable food production, and simultaneously, we will offer avenues for quick and easy application of this new approach to other relevant biotechnology-based industries, e.g. enzyme production and fermentation.

Field of science

  • /natural sciences/biological sciences/biological behavioural sciences/ethology/biological interaction

Call for proposal

H2020-NMBP-TR-IND-2020-twostage
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

KOBENHAVNS UNIVERSITET
Address
Norregade 10
1165 Kobenhavn
Denmark
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 1 854 905

Participants (7)

TURUN YLIOPISTO
Finland
EU contribution
€ 716 132,50
Address
Yliopistonmaki
20014 Turku
Activity type
Higher or Secondary Education Establishments
OKOLOGIAI KUTATOKOZPONT
Hungary
EU contribution
€ 612 562,50
Address
Klebelsberg Kuno Utca 3
8237 Tihany
Activity type
Research Organisations
FUNDACAO D. ANNA SOMMER CHAMPALIMAUD E DR. CARLOS MONTEZ CHAMPALIMAUD
Portugal
EU contribution
€ 658 511,25
Address
Avenida Brasilia, Centro De Investigacao Da Fundacao Champalimaud
1400-038 Lisboa
Activity type
Research Organisations
EUROPEAN MOLECULAR BIOLOGY LABORATORY
Germany
EU contribution
€ 1 349 473,75
Address
Meyerhofstrasse 1
69117 Heidelberg
Activity type
Research Organisations
QIAGEN AARHUS AS
Denmark
EU contribution
€ 223 750
Address
Silkeborgvej 2
8000 Aarhus
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
CHR. HANSEN A/S
Denmark
EU contribution
€ 187 000
Address
Boege Alle 10-12
2970 Hoersholm
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
NJORTH BIO SCIENCE LIMITED
United Kingdom
EU contribution
€ 190 750
Address
Station Road Pem Salisbury House
CB1 2LA Cambridge
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)