Genomics Applied to Aquaculture
We apply omics methods for applications in aquaculture, including to characterize and diagnose disease agents impacting salmonid fishes and better understand their evolution, to study fish immune responses, and to establish associations between genomic variation and commercially-important trait variation.
Gallagher MD, Karlsen M, Petterson E, Haugland O, Matejusova I, Macqueen DJ. 2020. Whole Genome Sequencing of SAV reveals repeated seeding events of viral strains in Norwegian aquaculture. Front. Microbiol. 11: 740.
Houston RD, Bean TP, Macqueen DJ, Gundappa MK, Yehwa J, Jenkins TL, Counter Selly S-L, Martin SAM, Stevens J, Santos E, Davie A, Robledo R. Harnessing genomics to fast-track genetic improvement in aquaculture. Nat. Rev. Genet. 21: 389–409
Gallagher MD, Ruane NM, Matejusova I, Macqueen DJ. 2020. Genome-wide target enriched viral sequencing reveals extensive ‘hidden’ salmonid alphavirus diversity in farmed and wild fish populations. Aquaculture. 522: 735117
Houston RD, Macqueen DJ. 2019. Atlantic salmon (Salmo salar L.) genetics in the 21st century: taking leaps forward in aquaculture and biological understanding. Animal Genet. 50: 3-14.
Gallagher MD, Matejusova I, Nguyen L, Ruane NM, Falk N, Macqueen DJ. 2018. Nanopore sequencing for rapid diagnostics of salmonid RNA viruses. Sci. Rep. 8: 16307. DOI: 10.1038/s41598-018-34464-x
Bayesian phylogeny of salmonid alphavirus genomes built from an 11,681 bp alignment and analyzed in BEAST2 using the best fit nucleotide substitution model (TIM2 + G4), a relaxed molecular clock model, tip-dating, and a coalescent Bayesian Skyline population model. A discrete phylogeographical analysis was performed using ancestral reconstruction with branch colors indicating the estimated geographic location of each node. Statistical support for key nodes is indicated by posterior probability values in bold, and the ancestral location probability in brackets. From Gallagher et al. 2020. Front. Microbiol.