Genetic and genomic evaluation for resistance to white spot syndrome virus in post-larvae of Pacific white shrimp (Litopenaeus vannamei)
Main Author: | |
---|---|
Publication Date: | 2023 |
Other Authors: | , , , , , |
Format: | Article |
Language: | eng |
Source: | Repositório Institucional da UNESP |
Download full: | http://dx.doi.org/10.1016/j.aquaculture.2023.739745 http://hdl.handle.net/11449/247540 |
Summary: | The objective of the present study was to compare genetic evaluations with pedigree- and genomic-based for the time of death of post-inoculation (TD) and survival considered as a binary variable (1 = survivor, 0 = dead) (BS) to white spot syndrome obtained in a controlled experimental challenge. In seven tanks were seed a total 6132 shrimps, of which the genotypes of 1685 were obtained using a commercial 50 K SNP panel. A total of 176 families were formed from a Sire: Dam ratio of 1:2. In the challenge test, the organisms were inoculated per os with macerated shrimp tissue with a viral load of 1 × 106 copies/g of tissue. The inoculum was supplied in two doses (first of 6% and second of 4% of the biomass in each tank) whit 12 h of difference. Four approaches were used for estimating variance components and calculating genetic or genomic estimated breeding values: 1) PBLUP-1 is an animal model fitted using a pedigree-based kinship matrix using only parent-progeny relationships from individuals from the latest generation; 2) PBLUP-All is the same as above but using the genealogy from 19 generations; 3) GBLUP is an animal model fitted using a genomic-based relationship matrix including genotyped animals only, and 4) ssGBLUP is an animal model fitted using a blend between the pedigree and genomic relationship matrix. The heritability values obtained for TD and BS with the four approaches ranged from 0.072 to 0.105 and 0.069 to 0.095, respectively. The heritability estimators obtained with genomic information were slightly higher than those obtained with only pedigree information. PBLUP-All and ssGBLUP present proportionally lower standard errors than PBLUP-1 and GBLUP. The use of genomic information (GBLUP and ssGBLUP) increased the mean accuracy of estimated breeding values by an average of 38% and 54% concerning methods that only used phenotypic information (PBLUP-1 and PBLUP-ALL). Using a 50 K SNP genotyping panel and deep pedigree information increased heritability estimation of traits associated with resistance to white spot syndrome virus in Pacific white shrimp. Using genomic information substantially improves the accuracy of estimated breeding values when using ssGBLUP compared to pedigree-based methods. Genomic selection will allow individual selection within-family by predicting the genetic values of animals not exposed to the white spot syndrome virus. |
id |
UNSP_8b72ea834a299ad8b3de0befc673b785 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/247540 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Genetic and genomic evaluation for resistance to white spot syndrome virus in post-larvae of Pacific white shrimp (Litopenaeus vannamei)Accuracy of predictionGenomic evaluationShrimpWhite spot syndromeThe objective of the present study was to compare genetic evaluations with pedigree- and genomic-based for the time of death of post-inoculation (TD) and survival considered as a binary variable (1 = survivor, 0 = dead) (BS) to white spot syndrome obtained in a controlled experimental challenge. In seven tanks were seed a total 6132 shrimps, of which the genotypes of 1685 were obtained using a commercial 50 K SNP panel. A total of 176 families were formed from a Sire: Dam ratio of 1:2. In the challenge test, the organisms were inoculated per os with macerated shrimp tissue with a viral load of 1 × 106 copies/g of tissue. The inoculum was supplied in two doses (first of 6% and second of 4% of the biomass in each tank) whit 12 h of difference. Four approaches were used for estimating variance components and calculating genetic or genomic estimated breeding values: 1) PBLUP-1 is an animal model fitted using a pedigree-based kinship matrix using only parent-progeny relationships from individuals from the latest generation; 2) PBLUP-All is the same as above but using the genealogy from 19 generations; 3) GBLUP is an animal model fitted using a genomic-based relationship matrix including genotyped animals only, and 4) ssGBLUP is an animal model fitted using a blend between the pedigree and genomic relationship matrix. The heritability values obtained for TD and BS with the four approaches ranged from 0.072 to 0.105 and 0.069 to 0.095, respectively. The heritability estimators obtained with genomic information were slightly higher than those obtained with only pedigree information. PBLUP-All and ssGBLUP present proportionally lower standard errors than PBLUP-1 and GBLUP. The use of genomic information (GBLUP and ssGBLUP) increased the mean accuracy of estimated breeding values by an average of 38% and 54% concerning methods that only used phenotypic information (PBLUP-1 and PBLUP-ALL). Using a 50 K SNP genotyping panel and deep pedigree information increased heritability estimation of traits associated with resistance to white spot syndrome virus in Pacific white shrimp. Using genomic information substantially improves the accuracy of estimated breeding values when using ssGBLUP compared to pedigree-based methods. Genomic selection will allow individual selection within-family by predicting the genetic values of animals not exposed to the white spot syndrome virus.Departamento de El Hombre y su Ambiente Universidad Autónoma Metropolitana Unidad Xochimilco, Calzada del Hueso 1100, CDMXFacultad de Medicina Veterinaria y Zootecnia Universidad Estatal Paulista Universidad del Estado de São PauloFacultad de Ciencias Veterinarias y Pecuarias Universidad de ChileUniversidad Autónoma Metropolitana Unidad Xochimilco, Calzada del Hueso 1100, CDMXDepartamento de Producción Agrícola y Animal Universidad Autónoma Metropolitana Unidad Xochimilco, Calzada del Hueso 1100, CDMXCentro de Investigación en Alimentación y Desarrolllo A.C., Av. Sábalo Cerritoss/n, Colonia Cerritos, SinaloaMaricultura del Pacífico S.A. de C.V., Av. Dr. Carlos Canseco 5994, Colonia El Cid, SinaloaUnidad XochimilcoUniversidad del Estado de São PauloUniversidad de ChileCentro de Investigación en Alimentación y Desarrolllo A.C.Maricultura del Pacífico S.A. de C.V.Campos-Montes, Gabriel R.Garcia, Baltasar F.Medrano-Mendoza, ThaniaCaballero-Zamora, AlejandraMontoya-Rodríguez, LeobardoQuintana-Casares, Juan C.Yáñez, José M.2023-07-29T13:18:53Z2023-07-29T13:18:53Z2023-10-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.aquaculture.2023.739745Aquaculture, v. 575.0044-8486http://hdl.handle.net/11449/24754010.1016/j.aquaculture.2023.7397452-s2.0-85161303529Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAquacultureinfo:eu-repo/semantics/openAccess2023-07-29T13:18:53Zoai:repositorio.unesp.br:11449/247540Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462023-07-29T13:18:53Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Genetic and genomic evaluation for resistance to white spot syndrome virus in post-larvae of Pacific white shrimp (Litopenaeus vannamei) |
title |
Genetic and genomic evaluation for resistance to white spot syndrome virus in post-larvae of Pacific white shrimp (Litopenaeus vannamei) |
spellingShingle |
Genetic and genomic evaluation for resistance to white spot syndrome virus in post-larvae of Pacific white shrimp (Litopenaeus vannamei) Campos-Montes, Gabriel R. Accuracy of prediction Genomic evaluation Shrimp White spot syndrome |
title_short |
Genetic and genomic evaluation for resistance to white spot syndrome virus in post-larvae of Pacific white shrimp (Litopenaeus vannamei) |
title_full |
Genetic and genomic evaluation for resistance to white spot syndrome virus in post-larvae of Pacific white shrimp (Litopenaeus vannamei) |
title_fullStr |
Genetic and genomic evaluation for resistance to white spot syndrome virus in post-larvae of Pacific white shrimp (Litopenaeus vannamei) |
title_full_unstemmed |
Genetic and genomic evaluation for resistance to white spot syndrome virus in post-larvae of Pacific white shrimp (Litopenaeus vannamei) |
title_sort |
Genetic and genomic evaluation for resistance to white spot syndrome virus in post-larvae of Pacific white shrimp (Litopenaeus vannamei) |
author |
Campos-Montes, Gabriel R. |
author_facet |
Campos-Montes, Gabriel R. Garcia, Baltasar F. Medrano-Mendoza, Thania Caballero-Zamora, Alejandra Montoya-Rodríguez, Leobardo Quintana-Casares, Juan C. Yáñez, José M. |
author_role |
author |
author2 |
Garcia, Baltasar F. Medrano-Mendoza, Thania Caballero-Zamora, Alejandra Montoya-Rodríguez, Leobardo Quintana-Casares, Juan C. Yáñez, José M. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Unidad Xochimilco Universidad del Estado de São Paulo Universidad de Chile Centro de Investigación en Alimentación y Desarrolllo A.C. Maricultura del Pacífico S.A. de C.V. |
dc.contributor.author.fl_str_mv |
Campos-Montes, Gabriel R. Garcia, Baltasar F. Medrano-Mendoza, Thania Caballero-Zamora, Alejandra Montoya-Rodríguez, Leobardo Quintana-Casares, Juan C. Yáñez, José M. |
dc.subject.por.fl_str_mv |
Accuracy of prediction Genomic evaluation Shrimp White spot syndrome |
topic |
Accuracy of prediction Genomic evaluation Shrimp White spot syndrome |
description |
The objective of the present study was to compare genetic evaluations with pedigree- and genomic-based for the time of death of post-inoculation (TD) and survival considered as a binary variable (1 = survivor, 0 = dead) (BS) to white spot syndrome obtained in a controlled experimental challenge. In seven tanks were seed a total 6132 shrimps, of which the genotypes of 1685 were obtained using a commercial 50 K SNP panel. A total of 176 families were formed from a Sire: Dam ratio of 1:2. In the challenge test, the organisms were inoculated per os with macerated shrimp tissue with a viral load of 1 × 106 copies/g of tissue. The inoculum was supplied in two doses (first of 6% and second of 4% of the biomass in each tank) whit 12 h of difference. Four approaches were used for estimating variance components and calculating genetic or genomic estimated breeding values: 1) PBLUP-1 is an animal model fitted using a pedigree-based kinship matrix using only parent-progeny relationships from individuals from the latest generation; 2) PBLUP-All is the same as above but using the genealogy from 19 generations; 3) GBLUP is an animal model fitted using a genomic-based relationship matrix including genotyped animals only, and 4) ssGBLUP is an animal model fitted using a blend between the pedigree and genomic relationship matrix. The heritability values obtained for TD and BS with the four approaches ranged from 0.072 to 0.105 and 0.069 to 0.095, respectively. The heritability estimators obtained with genomic information were slightly higher than those obtained with only pedigree information. PBLUP-All and ssGBLUP present proportionally lower standard errors than PBLUP-1 and GBLUP. The use of genomic information (GBLUP and ssGBLUP) increased the mean accuracy of estimated breeding values by an average of 38% and 54% concerning methods that only used phenotypic information (PBLUP-1 and PBLUP-ALL). Using a 50 K SNP genotyping panel and deep pedigree information increased heritability estimation of traits associated with resistance to white spot syndrome virus in Pacific white shrimp. Using genomic information substantially improves the accuracy of estimated breeding values when using ssGBLUP compared to pedigree-based methods. Genomic selection will allow individual selection within-family by predicting the genetic values of animals not exposed to the white spot syndrome virus. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-29T13:18:53Z 2023-07-29T13:18:53Z 2023-10-15 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.aquaculture.2023.739745 Aquaculture, v. 575. 0044-8486 http://hdl.handle.net/11449/247540 10.1016/j.aquaculture.2023.739745 2-s2.0-85161303529 |
url |
http://dx.doi.org/10.1016/j.aquaculture.2023.739745 http://hdl.handle.net/11449/247540 |
identifier_str_mv |
Aquaculture, v. 575. 0044-8486 10.1016/j.aquaculture.2023.739745 2-s2.0-85161303529 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Aquaculture |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
repositoriounesp@unesp.br |
_version_ |
1834483308484886528 |