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

2. 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

3. 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

4. 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

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

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

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

8. Thank you for your attention
The fishness team