2021
DOI: 10.1016/j.fsi.2021.02.010
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Identification of candidate SNPs and genes associated with anti-RGNNV using GWAS in the red-spotted grouper, Epinephelus akaara

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Cited by 13 publications
(1 citation statement)
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“…33 Three known successful examples of MAS application for disease resistance in aquaculture species are found for Japanese flounder (Paralichthys olivaceus), 34 Atlantic salmon 35 and rainbow trout. 36 GWAS has been used to elucidate the associations between genetic markers and disease resistance to specific pathogens in some fish, such as channel catfish backcross progenies [♂ F 1 hybrid catfish (channel catfish ♀ Â blue catfish ♂) Â ♀ channel catfish], [37][38][39] Atlantic salmon, [40][41][42] European sea bass (Dicentrarchus labrax), 43 rainbow trout, 44,45 orangespotted grouper (Epinephelus coioides), 46 red-spotted grouper (Epinephelus akaara), 47 Cynoglossus semilaevis, 48 pacu (Piaractus mesopotamicus), 49 yellow drum (Nibea albiflora) 50 and others (Figure 2). Compared to MAS, the effects of all significant markers (SNPs) are estimated simultaneously, leading to more accurate breeding values in genomic selection (GS).…”
Section: Introductionmentioning
confidence: 99%
“…33 Three known successful examples of MAS application for disease resistance in aquaculture species are found for Japanese flounder (Paralichthys olivaceus), 34 Atlantic salmon 35 and rainbow trout. 36 GWAS has been used to elucidate the associations between genetic markers and disease resistance to specific pathogens in some fish, such as channel catfish backcross progenies [♂ F 1 hybrid catfish (channel catfish ♀ Â blue catfish ♂) Â ♀ channel catfish], [37][38][39] Atlantic salmon, [40][41][42] European sea bass (Dicentrarchus labrax), 43 rainbow trout, 44,45 orangespotted grouper (Epinephelus coioides), 46 red-spotted grouper (Epinephelus akaara), 47 Cynoglossus semilaevis, 48 pacu (Piaractus mesopotamicus), 49 yellow drum (Nibea albiflora) 50 and others (Figure 2). Compared to MAS, the effects of all significant markers (SNPs) are estimated simultaneously, leading to more accurate breeding values in genomic selection (GS).…”
Section: Introductionmentioning
confidence: 99%