Identification of high lethality bacteria in aquaculture, genetic monitoring and consulting Team : “Fishness” Tsipourlianos Andreas Vasilakis Christos Vasilakis Manos Giannoulis Themistoklis

Comorbidity – Lethality – Economic impact Simultaneous infections Affecting a proportion of the livestock Resistance/susceptibility due to genetic factors Leading to financial loss Genetic consulting to improve the genetic pool  less prone to diseases

Parental genotyping (broodstock) Identification of high-lethality bacterial combinations Correlation of infection with resistant genotypes Individuals that are not infected Individuals with resistance to the disease (good prognosis) immediate actions for aquaculture (“discard” bad genotypes) Cost assessment Genetic consulting and selective breeding

Species of interest : Sea bream (Sparus aurata) Dataset provided : Aqua alert Dataset to be produced : Genotypes of GOI Two types of analysis : Genetic factors contributing to susceptibility (if available) Parentage analysis using microsatellite data

Data analysis Identify the unique combinations of comorbidity 49 combinations out of 790 incidents Mean mortality per combination (49.6%)

Data analysis Calculate an approximate loss using : Sample size 60000 fish 4euros/kg 20% profit ~350g marketable size Mortality Median : 29786 fish/cage Max : 39986 fish/cage Estimation of genotyping cost

Economic impact Mean losses : ~8000 euros/cage/incident Estimation of cost of genotyping : 10000 for 1000 broodstock Once in a lifetime Association with other characteristics

Thank you for your attention The fishness team