Amoebic gill disease (AGD) in Atlantic Salmon investigated through a holo-omic lens

We intended to investigate whether we could leverage a holo-omic framework to shed more light on AGD resistance/susceptibility. Here we utilise a combined approach of 16S metabarcoding and quantitative genetics to address AGD resistance. We characterise the gill microbiota of Atlantic salmon subjected to an AGD disease challenge, and investigate microbiota composition in relation to traditional AGD phenotype scoring methods (gill score and amoebic load). We then performed a genome-wide association study (GWAS) to investigate SNPs associated with the phenotypic scoring methods and the microbiota.