ArticleMarine biotechnology (New York, N.Y.)2016
Genomic Selection Using Extreme Phenotypes and Pre-Selection of SNPs in Large Yellow Croaker (Larimichthys crocea).
Article in Marine biotechnology (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Genetic Dissection of Growth Traits and Identification of Candidate Genes in Japanese Flounder (Biology · 2026Article
- Genetic Architecture of Growth Traits in Turbot (International journal of molecular sciences · 2026Article
- Estimation of Genetic Parameters for Growth Traits and Genomic Selection Study in Siniperca Scherzeri.Marine biotechnology (New York, N.Y.) · 2026Article
- Advances in biotechnology and breeding innovations in China's marine aquaculture.Advanced biotechnology · 2024Review
- Extreme-Phenotype Genome-Wide Association Analysis for Growth Traits in Spotted Sea Bass (Animals : an open access journal from MDPI · 2024Article
- Strategies to improve the accuracy and reduce costs of genomic prediction in aquaculture species.Evolutionary applications · 2022Article
- Genome-wide association study identified genes associated with ammonia nitrogen tolerance inFrontiers in genetics · 2022Article
- Genome‑wide association study and genomic prediction for growth traits in yellow-plumage chicken using genotyping-by-sequencing.Genetics, selection, evolution : GSE · 2021Article
- Toward Genome-Based Selection in Asian Seabass: What Can We Learn From Other Food Fishes and Farm Animals?Frontiers in genetics · 2021Review
- Prediction of genomic breeding values based on pre-selected SNPs using ssGBLUP, WssGBLUP and BayesB for Edwardsiellosis resistance in Japanese flounder.Genetics, selection, evolution : GSE · 2020Article
- Genomic Prediction of Columnaris Disease Resistance in Catfish.Marine biotechnology (New York, N.Y.) · 2020Article
- Pooled genotyping strategies for the rapid construction of genomic reference populations1.Journal of animal science · 2019Article
- Evaluation of Genomic Selection for Seven Economic Traits in Yellow Drum (Nibea albiflora).Marine biotechnology (New York, N.Y.) · 2019Article
- First Genome-wide Association Analysis for Growth Traits in the Largest Coral Reef-Dwelling Bony Fishes, the Giant Grouper (Epinephelus lanceolatus).Marine biotechnology (New York, N.Y.) · 2019Article
- Predicting Growth Traits with Genomic Selection Methods in Zhikong Scallop (Chlamys farreri).Marine biotechnology (New York, N.Y.) · 2018Article
- Genomic Selection Using BayesCπ and GBLUP for Resistance Against Edwardsiella tarda in Japanese Flounder (Paralichthys olivaceus).Marine biotechnology (New York, N.Y.) · 2018Article
- Genomewide association study for economic traits in the large yellow croaker with different numbers of extreme phenotypes.Journal of genetics · 2018Article
- The identification of growth, immune related genes and marker discovery through transcriptome in the yellow drum (Nibea albiflora).Genes & genomics · 2018Article
- QTL Mapping for Resistance to Iridovirus in Asian Seabass Using Genotyping-by-Sequencing.Marine biotechnology (New York, N.Y.) · 2017Article
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5 authors.
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Abstract
Genomic selection (GS) is an effective method to improve predictive accuracies of genetic values. However, high cost in genotyping will limit the application of this technology in some species. Therefore, it is necessary to find some methods to reduce the genotyping costs in genomic selection. Large yellow croaker is one of the most commercially important marine fish species in southeast China and Eastern Asia. In this study, genotyping-by-sequencing was used to construct the libraries for the NGS sequencing and find 29,748 SNPs in the genome. Two traits, eviscerated weight (EW) and the ratio between eviscerated weight and whole body weight (REW), were chosen to study. Two strategies to reduce the costs were proposed as follows: selecting extreme phenotypes (EP) for genotyping in reference population or pre-selecting SNPs to construct low-density marker panels in candidates. Three methods of pre-selection of SNPs, i.e., pre-selecting SNPs by absolute effects (SE), by single marker analysis (SMA), and by fixed intervals of sequence number (EL), were studied. The results showed that using EP was a feasible method to save the genotyping costs in reference population. Heritability did not seem to have obvious influences on the predictive abilities estimated by EP. Using SMA was the most feasible method to save the genotyping costs in candidates. In addition, the combination of EP and SMA in genomic selection also showed good results, especially for trait of REW. We also described how to apply the new methods in genomic selection and compared the genotyping costs before and after using the new methods. Our study may not only offer a reference for aquatic genomic breeding but also offer a reference for genomic prediction in other species including livestock and plants, etc.
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