Literature DB >> 32761644

Genomics to accelerate genetic improvement in tilapia.

J M Yáñez1,2, R Joshi3, G M Yoshida1.   

Abstract

Selective breeding of tilapia populations started in the early 1990s and over the past three decades tilapia has become one of the most important farmed freshwater species, being produced in more than 125 countries around the globe. Although genome assemblies have been available since 2011, most of the tilapia industry still depends on classical selection techniques using mass spawning or pedigree information to select for growth traits with reported genetic gains of up to 20% per generation. The involvement of international breeding companies and research institutions has resulted in the rapid development and application of genomic resources in the last few years. GWAS and genomic selection are expected to contribute to uncovering the genetic variants involved in economically relevant traits and increasing the genetic gain in selective breeding programs, respectively. Developments over the next few years will probably focus on achieving a deep understanding of genetic architecture of complex traits, as well as accelerating genetic progress in the selection for growth-, quality- and robustness-related traits. Novel phenotyping technologies (i.e. phenomics), lower-cost whole-genome sequencing approaches, functional genomics and gene editing tools will be crucial in future developments for the improvement of tilapia aquaculture.
© 2020 Stichting International Foundation for Animal Genetics.

Keywords:  zzm321990Oreochromis niloticuszzm321990; GWAS; domestication; genetic improvement; genomic selection; genomics; sex determination; tilapia

Mesh:

Year:  2020        PMID: 32761644     DOI: 10.1111/age.12989

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  8 in total

1.  Economic appraisal of using genetics to control Streptococcus agalactiae in Nile tilapia under cage and pond farming system in Malaysia.

Authors:  Marina Delphino; Rajesh Joshi; Alejandro Tola Alvarez
Journal:  Sci Rep       Date:  2022-05-24       Impact factor: 4.996

2.  Multi-trait GWAS using imputed high-density genotypes from whole-genome sequencing identifies genes associated with body traits in Nile tilapia.

Authors:  Grazyella M Yoshida; José M Yáñez
Journal:  BMC Genomics       Date:  2021-01-15       Impact factor: 3.969

3.  Development of EST-Molecular Markers from RNA Sequencing for Genetic Management and Identification of Growth Traits in Potato Grouper (Epinephelus tukula).

Authors:  Te-Hua Hsu; Yu-Ting Chiu; Hung-Tai Lee; Hong-Yi Gong; Chang-Wen Huang
Journal:  Biology (Basel)       Date:  2021-01-07

4.  Bayesian genomic models boost prediction accuracy for survival to Streptococcus agalactiae infection in Nile tilapia (Oreochromus nilioticus).

Authors:  Rajesh Joshi; Anders Skaarud; Alejandro Tola Alvarez; Thomas Moen; Jørgen Ødegård
Journal:  Genet Sel Evol       Date:  2021-04-21       Impact factor: 4.297

5.  Comparative transcriptome analysis reveals ectopic delta-5 and delta-6 desaturases enhance protective gene expression upon Vibrio vulnificus challenge in Tilapia (Oreochromis niloticus).

Authors:  Pin-Yang Tu; Shin-Jie Huang; Venugopal Rajanbabu; Jen-Leih Wu; Jyh-Yih Chen
Journal:  BMC Genomics       Date:  2021-03-22       Impact factor: 3.969

Review 6.  Genomics applied to livestock and aquaculture breeding.

Authors:  José M Yáñez; Peng Xu; Roberto Carvalheiro; Ben Hayes
Journal:  Evol Appl       Date:  2022-04-18       Impact factor: 4.929

Review 7.  Animal board invited review: Widespread adoption of genetic technologies is key to sustainable expansion of global aquaculture.

Authors:  Ross D Houston; Christina Kriaridou; Diego Robledo
Journal:  Animal       Date:  2022-09-29       Impact factor: 3.730

8.  Identification of Genes Related to Cold Tolerance and Novel Genetic Markers for Molecular Breeding in Taiwan Tilapia (Oreochromis spp.) via Transcriptome Analysis.

Authors:  Pei-Yun Chu; Jia-Xian Li; Te-Hua Hsu; Hong-Yi Gong; Chung-Yen Lin; Jung-Hua Wang; Chang-Wen Huang
Journal:  Animals (Basel)       Date:  2021-12-13       Impact factor: 2.752

  8 in total

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