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Can I read Bayesian genomic models boost prediction accuracy for survival to Streptococcus agalactiae infection in Nile tilapia ( Oreochromus nilioticus ) on EtoBox?
Bayesian genomic models boost prediction accuracy for survival to Streptococcus agalactiae infection in Nile tilapia ( Oreochromus nilioticus ) by Rajesh Joshi; Anders Skaarud; Alejandro Tola Alvarez; Thomas Moen; Jørgen Ødegård is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Bayesian genomic models boost prediction accuracy for survival to Streptococcus agalactiae infection in Nile tilapia ( Oreochromus nilioticus ) about?
## Background Streptococcosis is a major bacterial disease in Nile tilapia that is caused by __Streptococcus agalactiae__ infection, and development of resistant strains of Nile tilapia represents a sustainable approach towards combating this disease. In this study, we performed a controlled disease trial on 120 full-sib families to (i) quantify and characterize the potential of genomic selection for survival to __S. agalactiae__ infection in Nile tilapia, and (ii) identify the best genomic model and the optimal density of single nucleotide polymorphisms (SNPs) for this trait. ## Methods In total, 40 fish per family (15 fish intraperitoneally injected and 25 fish as cohabitants) were used in the challenge test. Mortalities were recorded every 3 h for 35 days. After quality control, genotypes (50,690 SNPs) and phenotypes (0 for dead and 1 for alive) for 2472 cohabitant fish were available. Genetic parameters were obtained using various genomic selection models (genomic best linear unbiased prediction (GBLUP), BayesB, BayesC, BayesR and BayesS) and a traditional pedigree-based model (PBLUP). The pedigree-based analysis used a deep 17-generation pedigree. Prediction accuracy and bias
Who reads Bayesian genomic models boost prediction accuracy for survival to Streptococcus agalactiae infection in Nile tilapia ( Oreochromus nilioticus )?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Rajesh Joshi; Anders Skaarud; Alejandro Tola Alvarez; Thomas Moen; Jørgen Ødegård
- Publisher
- Springer Science and Business Media LLC
- Published
- 2021
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)