| 1 |
Mukiibi R, Robledo D, Peñaloza C, Ferraresso S, Franch R, Bertotto D, Freguglia M, Laureau S, Pascoli F, Toffan A, Tsigenopolous C, Bargelloni L, Houston R. 573. A major QTL affects resistance to viral nervous necrosis in farmed European seabass. Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP) 2022. [DOI: 10.3920/978-90-8686-940-4_573] [Reference Citation Analysis]
|
| 2 |
575. Exploiting genomics to infer population structure and genetic variability in wild and farmed seabream and seabass. Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP) 2022. [DOI: 10.3920/978-90-8686-940-4_575] [Reference Citation Analysis]
|
| 3 |
Aramburu O, Blanco A, Bouza C, Martínez P. Integration of host-pathogen functional genomics data into the chromosome-level genome assembly of turbot (Scophthalmus maximus). Aquaculture 2022. [DOI: 10.1016/j.aquaculture.2022.739067] [Reference Citation Analysis]
|
| 4 |
Pujolar JM, Limborg MT, Ehrlich M, Jaspers C. High throughput SNP chip as cost effective new monitoring tool for assessing invasion dynamics in the comb jelly Mnemiopsis leidyi. Front Mar Sci 2022;9:1019001. [DOI: 10.3389/fmars.2022.1019001] [Reference Citation Analysis]
|
| 5 |
Houston RD, Kriaridou C, Robledo D. Animal board invited review: Widespread adoption of genetic technologies is key to sustainable expansion of global aquaculture. animal 2022;16:100642. [DOI: 10.1016/j.animal.2022.100642] [Reference Citation Analysis]
|
| 6 |
Montanari S, Deng C, Koot E, Bassil NV, Zurn JD, Morrison-whittle P, Worthington ML, Aryal R, Ashrafi H, Pradelles J, Wellenreuther M, Chagné D. A multiplexed plant-animal SNP array for selective breeding and species conservation applications.. [DOI: 10.1101/2022.09.07.507051] [Reference Citation Analysis]
|
| 7 |
Horn S, Aslam M, Difford G, Tsakoniti K, Karapanagiotis S, Gulzari B, Bastiaansen J, Peñaloza C, Houston R, Ruyter B, Sonesson A. Genetic parameters of fillet fatty acids and fat deposition in gilthead seabream (Sparus aurata) using the novel 30 k Medfish SNP array. Aquaculture 2022;556:738292. [DOI: 10.1016/j.aquaculture.2022.738292] [Reference Citation Analysis]
|
| 8 |
Žužul I, Grubišić L, Šegvić-bubić T. Genetic discrimination of wild versus farmed gilthead sea bream Sparus aurata using microsatellite markers associated with candidate genes. Aquat Living Resour 2022;35:8. [DOI: 10.1051/alr/2022009] [Reference Citation Analysis]
|
| 9 |
Zhu K, Li Y, Wu W, Liu B, Guo H, Zhang N, Guo L, Zhang D. Isolation and characterization of 112 SNP markers in Yellowfin seabream (Acanthopagrus latus) using RAD sequencing. Conservation Genet Resour. [DOI: 10.1007/s12686-022-01265-4] [Reference Citation Analysis]
|
| 10 |
Vela-Avitúa S, Thorland I, Bakopoulos V, Papanna K, Dimitroglou A, Kottaras E, Leonidas P, Guinand B, Tsigenopoulos CS, Aslam ML. Genetic Basis for Resistance Against Viral Nervous Necrosis: GWAS and Potential of Genomic Prediction Explored in Farmed European Sea Bass (Dicentrarchus labrax). Front Genet 2022;13:804584. [PMID: 35401661 DOI: 10.3389/fgene.2022.804584] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
| 11 |
Fraslin C, Yáñez JM, Robledo D, Houston RD. The impact of genetic relationship between training and validation populations on genomic prediction accuracy in Atlantic salmon. Aquaculture Reports 2022;23:101033. [DOI: 10.1016/j.aqrep.2022.101033] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
|
| 12 |
Ratcliffe FC, Garcia de Leaniz C, Consuegra S. MHC class I-α population differentiation in a commercial fish, the European sea bass (Dicentrarchus labrax). Anim Genet 2022. [PMID: 35274334 DOI: 10.1111/age.13184] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
| 13 |
Gkagkavouzis K, Papakostas S, Maroso F, Karaiskou N, Carr A, Nielsen EE, Bargelloni L, Triantafyllidis A. Investigating Genetic Diversity and Genomic Signatures of Hatchery-Induced Evolution in Gilthead Seabream (Sparus aurata) Populations. Diversity 2021;13:563. [DOI: 10.3390/d13110563] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
| 14 |
Difford GF, Díaz-Gil C, Sánchez-Moya A, Aslam ML, Horn SS, Ruyter B, Herlin M, Lopez M, Sonesson AK. Genomic and Phenotypic Agreement Defines the Use of Microwave Dielectric Spectroscopy for Recording Muscle Lipid Content in European Seabass (Dicentrarchus labrax). Front Genet 2021;12:671491. [PMID: 34527016 DOI: 10.3389/fgene.2021.671491] [Reference Citation Analysis]
|
| 15 |
Fraslin C, Yáñez JM, Robledo D, Houston RD. The impact of genetic relationship between training and validation populations on genomic prediction accuracy in Atlantic salmon.. [DOI: 10.1101/2021.09.14.460263] [Reference Citation Analysis]
|
| 16 |
Miccoli A, Buonocore F, Picchietti S, Scapigliati G. The sea bass Dicentrarchus labrax as a marine model species in immunology: Insights from basic and applied research. Aquaculture and Fisheries 2021. [DOI: 10.1016/j.aaf.2021.09.003] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
|
| 17 |
Boudry P, Allal F, Aslam ML, Bargelloni L, Bean TP, Brard-fudulea S, Brieuc MS, Calboli FC, Gilbey J, Haffray P, Lamy J, Morvezen R, Purcell C, Prodöhl PA, Vandeputte M, Waldbieser GC, Sonesson AK, Houston RD. Current status and potential of genomic selection to improve selective breeding in the main aquaculture species of International Council for the Exploration of the Sea (ICES) member countries. Aquaculture Reports 2021;20:100700. [DOI: 10.1016/j.aqrep.2021.100700] [Cited by in Crossref: 15] [Cited by in F6Publishing: 7] [Article Influence: 7.5] [Reference Citation Analysis]
|
