Cookie Policy

This site uses cookies. When browsing the site, you are consenting its use. Learn more

I understood

MicrobeModel: Modelling the water and fish microbiomes to monitor and predict pathogen outbreaks

MicrobeModel: Modelling the water and fish microbiomes to monitor and predict pathogen outbreaks

By fostering high stock densities fish farming practices reduce water quality and increase host stress, thus favoring disease spread. For these reasons, bacterial infectious diseases are one of the major challenges faced by the aquaculture industry. Commensal bacteria, i.e. the microbiome, play an important role in controlling pathogenic elements through interspecific competition, hence microbiome diversity and the host health are positively related. Recently, a statistical tool (BioMico) has been developed to model and predict microbiomes given a set of independent variables. In this project we aim to apply BioMiCo, to model and predict the skin microbiomes of two farmed species as well as the water microbiome in natural and farming environments. This will allow predicting disease outbreaks and identify which combination of variables favour pathogens. The outcomes of this project will allow improving the management of diseases in farms and also in estuarine ecosystems.

Team
Principal Investigator
Raquel Susana Brazão Xavier

Raquel Susana Brazão Xavier

Position: Auxiliary Researcher
Group:
MarChange
View
Researchers
David James Alexander Edward Harris

David James Alexander Edward Harris

Position: Principal Researcher
Group:
AP
View
Fernando Pádua Silva e Lima

Fernando Pádua Silva e Lima

Position: Auxiliary Researcher
View
Sofia Alexandra Marques Silva

Sofia Alexandra Marques Silva

Position: Post-Doc Researcher
Group:
MarChange
View
Technical Staff
Bruno Loureiro

Bruno Loureiro

Position: Research Technician
Group:
MarChange
View
Daniela Rosado

Daniela Rosado

Position: Collaborator
Group:
MarChange
View
Other members
Joseph P. Bielawski, Katherine Ann Dunn, Ricardo Severino
State
Ongoing
Proponent Institution
ICETA-UP (CIBIO-InBIO)
Funded by
FCT
Dates
2018 (Duration: 2 years)
Participant Institutions
CIBIO-InBIO
Reference
POCI-01-0145-FEDER-027995
Share this: