Development of a 38 K single nucleotide polymorphism array and application in genomic selection for resistance against Vibrio harveyi in Chinese tongue sole, Cynoglossus semilaevis

Based on 1572 re-sequenced Chinese tongue sole (Cynoglossus semilaevis), we investigated the accuracy of four genomic methods at predicting genomic estimated breeding values (GEBVs) of Vibrio harveyi resistance in C. semilaevis when SNPs varying from 500 to 500 k. All methods outperformed the pedigr...

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Veröffentlicht in:Genomics (San Diego, Calif.) Calif.), 2021-07, Vol.113 (4), p.1838-1844
Hauptverfasser: Lu, Sheng, Zhou, Qian, Chen, Yadong, Liu, Yang, Li, Yangzhen, Wang, Lei, Yang, Yingming, Chen, Songlin
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Sprache:eng
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Zusammenfassung:Based on 1572 re-sequenced Chinese tongue sole (Cynoglossus semilaevis), we investigated the accuracy of four genomic methods at predicting genomic estimated breeding values (GEBVs) of Vibrio harveyi resistance in C. semilaevis when SNPs varying from 500 to 500 k. All methods outperformed the pedigree-based best linear unbiased prediction when SNPs reached 50 k or more. Then, we developed an SNP array “Solechip No.1” for C. semilaevis breeding using the Affymetrix Axiom technology. This array contains 38,295 SNPs with an average of 10.5 kb inter-spacing between two adjacent SNPs. We selected 44 candidates as the parents of 23 families and genotyped them by the array. The challenge survival rates of offspring families had a correlation of 0.706 with the mid-parental GEBVs. This SNP array is a convenient and reliable tool in genotyping, which could be used for improving V. harveyi resistance in C. semilaevis coupled with the genomic selection methods. •We developed the first SNP array for the Chinese tongue sole breeding.•The array contains 38,295 SNPs with an average of 10.5 kb interval between two SNPs.•We evaluated the accuracy of four GS methods using 500 to 500 k SNPs.•All GS methods outperformed ABLUP when 50 k or more SNPs were used for prediction.•The mid-parental GEBVs had a correlation of 0.706 with the phenotype of offspring.
ISSN:0888-7543
1089-8646
DOI:10.1016/j.ygeno.2021.03.034