Genetic architecture and genomic selection of female reproduction traits in rainbow trout

Abstract Background Rainbow trout is a significant fish farming species under temperate climates. Female reproduction traits play an important role in the economy of breeding companies with the sale of fertilized eggs. The objectives of this study are threefold: to estimate the genetic parameters of...

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Main Authors: J. D’Ambrosio, R. Morvezen, S. Brard-Fudulea, A. Bestin, A. Acin Perez, D. Guéméné, C. Poncet, P. Haffray, M. Dupont-Nivet, F. Phocas
Format: Article
Language:English
Published: BMC 2020-08-01
Series:BMC Genomics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12864-020-06955-7
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author J. D’Ambrosio
R. Morvezen
S. Brard-Fudulea
A. Bestin
A. Acin Perez
D. Guéméné
C. Poncet
P. Haffray
M. Dupont-Nivet
F. Phocas
author_facet J. D’Ambrosio
R. Morvezen
S. Brard-Fudulea
A. Bestin
A. Acin Perez
D. Guéméné
C. Poncet
P. Haffray
M. Dupont-Nivet
F. Phocas
author_sort J. D’Ambrosio
collection DOAJ
description Abstract Background Rainbow trout is a significant fish farming species under temperate climates. Female reproduction traits play an important role in the economy of breeding companies with the sale of fertilized eggs. The objectives of this study are threefold: to estimate the genetic parameters of female reproduction traits, to determine the genetic architecture of these traits by the identification of quantitative trait loci (QTL), and to assess the expected efficiency of a pedigree-based selection (BLUP) or genomic selection for these traits. Results A pedigreed population of 1343 trout were genotyped for 57,000 SNP markers and phenotyped for seven traits at 2 years of age: spawning date, female body weight before and after spawning, the spawn weight and the egg number of the spawn, the egg average weight and average diameter. Genetic parameters were estimated in multi-trait linear animal models. Heritability estimates were moderate, varying from 0.27 to 0.44. The female body weight was not genetically correlated to any of the reproduction traits. Spawn weight showed strong and favourable genetic correlation with the number of eggs in the spawn and individual egg size traits, but the egg number was uncorrelated to the egg size traits. The genome-wide association studies showed that all traits were very polygenic since less than 10% of the genetic variance was explained by the cumulative effects of the QTLs: for any trait, only 2 to 4 QTLs were detected that explained in-between 1 and 3% of the genetic variance. Genomic selection based on a reference population of only one thousand individuals related to candidates would improve the efficiency of BLUP selection from 16 to 37% depending on traits. Conclusions Our genetic parameter estimates made unlikely the hypothesis that selection for growth could induce any indirect improvement for female reproduction traits. It is thus important to consider direct selection for spawn weight for improving egg production traits in rainbow trout breeding programs. Due to the low proportion of genetic variance explained by the few QTLs detected for each reproduction traits, marker assisted selection cannot be effective. However genomic selection would allow significant gains of accuracy compared to pedigree-based selection.
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spelling doaj.art-96bbbbebaeba4a88a0978c6efb3b0fde2022-12-22T01:31:52ZengBMCBMC Genomics1471-21642020-08-0121111410.1186/s12864-020-06955-7Genetic architecture and genomic selection of female reproduction traits in rainbow troutJ. D’Ambrosio0R. Morvezen1S. Brard-Fudulea2A. Bestin3A. Acin Perez4D. Guéméné5C. Poncet6P. Haffray7M. Dupont-Nivet8F. Phocas9Université Paris-Saclay, INRAE, AgroParisTech, GABISYSAAF, Station INRAE-LPGP, Campus de BeaulieuSYSAAF, Section Avicole, Centre INRAE Val de LoireSYSAAF, Station INRAE-LPGP, Campus de BeaulieuViviers de Sarrance, Pisciculture LabedanSYSAAF, Section Avicole, Centre INRAE Val de LoireUniversité Clermont-Auvergne, INRAE, GDECSYSAAF, Station INRAE-LPGP, Campus de BeaulieuUniversité Paris-Saclay, INRAE, AgroParisTech, GABIUniversité Paris-Saclay, INRAE, AgroParisTech, GABIAbstract Background Rainbow trout is a significant fish farming species under temperate climates. Female reproduction traits play an important role in the economy of breeding companies with the sale of fertilized eggs. The objectives of this study are threefold: to estimate the genetic parameters of female reproduction traits, to determine the genetic architecture of these traits by the identification of quantitative trait loci (QTL), and to assess the expected efficiency of a pedigree-based selection (BLUP) or genomic selection for these traits. Results A pedigreed population of 1343 trout were genotyped for 57,000 SNP markers and phenotyped for seven traits at 2 years of age: spawning date, female body weight before and after spawning, the spawn weight and the egg number of the spawn, the egg average weight and average diameter. Genetic parameters were estimated in multi-trait linear animal models. Heritability estimates were moderate, varying from 0.27 to 0.44. The female body weight was not genetically correlated to any of the reproduction traits. Spawn weight showed strong and favourable genetic correlation with the number of eggs in the spawn and individual egg size traits, but the egg number was uncorrelated to the egg size traits. The genome-wide association studies showed that all traits were very polygenic since less than 10% of the genetic variance was explained by the cumulative effects of the QTLs: for any trait, only 2 to 4 QTLs were detected that explained in-between 1 and 3% of the genetic variance. Genomic selection based on a reference population of only one thousand individuals related to candidates would improve the efficiency of BLUP selection from 16 to 37% depending on traits. Conclusions Our genetic parameter estimates made unlikely the hypothesis that selection for growth could induce any indirect improvement for female reproduction traits. It is thus important to consider direct selection for spawn weight for improving egg production traits in rainbow trout breeding programs. Due to the low proportion of genetic variance explained by the few QTLs detected for each reproduction traits, marker assisted selection cannot be effective. However genomic selection would allow significant gains of accuracy compared to pedigree-based selection.http://link.springer.com/article/10.1186/s12864-020-06955-7FishHeritabilityGWASQTLBody weightSpawning date
spellingShingle J. D’Ambrosio
R. Morvezen
S. Brard-Fudulea
A. Bestin
A. Acin Perez
D. Guéméné
C. Poncet
P. Haffray
M. Dupont-Nivet
F. Phocas
Genetic architecture and genomic selection of female reproduction traits in rainbow trout
BMC Genomics
Fish
Heritability
GWAS
QTL
Body weight
Spawning date
title Genetic architecture and genomic selection of female reproduction traits in rainbow trout
title_full Genetic architecture and genomic selection of female reproduction traits in rainbow trout
title_fullStr Genetic architecture and genomic selection of female reproduction traits in rainbow trout
title_full_unstemmed Genetic architecture and genomic selection of female reproduction traits in rainbow trout
title_short Genetic architecture and genomic selection of female reproduction traits in rainbow trout
title_sort genetic architecture and genomic selection of female reproduction traits in rainbow trout
topic Fish
Heritability
GWAS
QTL
Body weight
Spawning date
url http://link.springer.com/article/10.1186/s12864-020-06955-7
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