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Genomic Selection and Genome-wide Association Study for Feed-Efficiency Traits in a Farmed Nile Tilapia (Oreochromis niloticus) Population
- Source :
- Frontiers in Genetics, Frontiers in Genetics, Frontiers, 2021, 12, ⟨10.3389/fgene.2021.737906⟩, Barria Gonzalez, A, Benzie, J A H, Houston, R, De Koning, D & Verdal, H D 2021, ' Genomic Selection and Genome-wide Association Study for Feed-Efficiency Traits in a Farmed Nile Tilapia (Oreochromis niloticus) Population ', Frontiers in genetics . https://doi.org/10.3389/fgene.2021.737906, Frontiers in Genetics, Vol 12 (2021)
- Publication Year :
- 2021
- Publisher :
- HAL CCSD, 2021.
-
Abstract
- Nile tilapia is a key aquaculture species with one of the highest production volumes globally. Genetic improvement of feed efficiency via selective breeding is an important goal, and genomic selection may expedite this process. The aims of this study were to 1) dissect the genetic architecture of feed-efficiency traits in a Nile tilapia breeding population, 2) map the genomic regions associated with these traits and identify candidate genes, 3) evaluate the accuracy of breeding value prediction using genomic data, and 4) assess the impact of the genetic marker density on genomic prediction accuracies. Using an experimental video recording trial, feed conversion ratio (FCR), body weight gain (BWG), residual feed intake (RFI) and feed intake (FI) traits were recorded in 40 full-sibling families from the GIFT (Genetically Improved Farmed Tilapia) Nile tilapia breeding population. Fish were genotyped with a ThermoFisher Axiom 65 K Nile tilapia SNP array. Significant heritabilities, ranging from 0.12 to 0.22, were estimated for all the assessed traits using the genomic relationship matrix. A negative but favourable genetic correlation was found between BWG and the feed-efficiency related traits; −0.60 and −0.63 for FCR and RFI, respectively. While the genome-wide association analyses suggested a polygenic genetic architecture for all the measured traits, there were significant QTL identified for BWG and FI on chromosomes seven and five respectively. Candidate genes previously found to be associated with feed-efficiency traits were located in these QTL regions, including ntrk3a, ghrh and eif4e3. The accuracy of breeding value prediction using the genomic data was up to 34% higher than using pedigree records. A SNP density of approximately 5,000 SNPs was sufficient to achieve similar prediction accuracy as the full genotype data set. Our results highlight the potential of genomic selection to improve feed efficiency traits in Nile tilapia breeding programmes.
- Subjects :
- Efficacité conversion alimentaire
Sélection
QH426-470
nile tilapia
Nile tilapia
GWAS
Performance animale
Genetics (clinical)
genomic prediction
Original Research
2. Zero hunger
Genetics
0303 health sciences
education.field_of_study
biology
Oreochromis niloticus
04 agricultural and veterinary sciences
Oreochromis
Fish and Aquacultural Science
Molecular Medicine
SNP array
candidate genes
Génotype
Population
Quantitative trait locus
Selective breeding
Genetic correlation
Feed conversion ratio
03 medical and health sciences
education
030304 developmental biology
amélioration génétique
feed conversion ratio
[SDV.GEN]Life Sciences [q-bio]/Genetics
0402 animal and dairy science
L10 - Génétique et amélioration des animaux
biology.organism_classification
040201 dairy & animal science
feed intake
M12 - Production de l'aquaculture
Amélioration des animaux
Residual feed intake
Subjects
Details
- Language :
- English
- ISSN :
- 16648021
- Database :
- OpenAIRE
- Journal :
- Frontiers in Genetics, Frontiers in Genetics, Frontiers, 2021, 12, ⟨10.3389/fgene.2021.737906⟩, Barria Gonzalez, A, Benzie, J A H, Houston, R, De Koning, D & Verdal, H D 2021, ' Genomic Selection and Genome-wide Association Study for Feed-Efficiency Traits in a Farmed Nile Tilapia (Oreochromis niloticus) Population ', Frontiers in genetics . https://doi.org/10.3389/fgene.2021.737906, Frontiers in Genetics, Vol 12 (2021)
- Accession number :
- edsair.doi.dedup.....447fcff6ecf4841a30213ad0f949690b