-
Je něco špatně v tomto záznamu ?
Optimizing Genomic Prediction of Host Resistance to Koi Herpesvirus Disease in Carp
C. Palaiokostas, T. Vesely, M. Kocour, M. Prchal, D. Pokorova, V. Piackova, L. Pojezdal, RD. Houston,
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 2010
Free Medical Journals
od 2010
PubMed Central
od 2010
Europe PubMed Central
od 2010
Open Access Digital Library
od 2010-01-01
Open Access Digital Library
od 2010-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2010
PubMed
31249593
DOI
10.3389/fgene.2019.00543
Knihovny.cz E-zdroje
- Publikační typ
- časopisecké články MeSH
Genomic selection (GS) is increasingly applied in breeding programs of major aquaculture species, enabling improved prediction accuracy and genetic gain compared to pedigree-based approaches. Koi Herpesvirus disease (KHVD) is notifiable by the World Organization for Animal Health and the European Union, causing major economic losses to carp production. GS has potential to breed carp with improved resistance to KHVD, thereby contributing to disease control. In the current study, Restriction-site Associated DNA sequencing (RAD-seq) was applied on a population of 1,425 common carp juveniles which had been challenged with Koi herpes virus, followed by sampling of survivors and mortalities. GS was tested on a wide range of scenarios by varying both SNP densities and the genetic relationships between training and validation sets. The accuracy of correctly identifying KHVD resistant animals using GS was between 8 and 18% higher than pedigree best linear unbiased predictor (pBLUP) depending on the tested scenario. Furthermore, minor decreases in prediction accuracy were observed with decreased SNP density. However, the genetic relationship between the training and validation sets was a key factor in the efficacy of genomic prediction of KHVD resistance in carp, with substantially lower prediction accuracy when the relationships between the training and validation sets did not contain close relatives.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc19028826
- 003
- CZ-PrNML
- 005
- 20190819104855.0
- 007
- ta
- 008
- 190813s2019 sz f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.3389/fgene.2019.00543 $2 doi
- 035 __
- $a (PubMed)31249593
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a sz
- 100 1_
- $a Palaiokostas, Christos $u Royal (Dick) School of Veterinary Studies, The Roslin Institute, The University of Edinburgh, Midlothian, United Kingdom. Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
- 245 10
- $a Optimizing Genomic Prediction of Host Resistance to Koi Herpesvirus Disease in Carp / $c C. Palaiokostas, T. Vesely, M. Kocour, M. Prchal, D. Pokorova, V. Piackova, L. Pojezdal, RD. Houston,
- 520 9_
- $a Genomic selection (GS) is increasingly applied in breeding programs of major aquaculture species, enabling improved prediction accuracy and genetic gain compared to pedigree-based approaches. Koi Herpesvirus disease (KHVD) is notifiable by the World Organization for Animal Health and the European Union, causing major economic losses to carp production. GS has potential to breed carp with improved resistance to KHVD, thereby contributing to disease control. In the current study, Restriction-site Associated DNA sequencing (RAD-seq) was applied on a population of 1,425 common carp juveniles which had been challenged with Koi herpes virus, followed by sampling of survivors and mortalities. GS was tested on a wide range of scenarios by varying both SNP densities and the genetic relationships between training and validation sets. The accuracy of correctly identifying KHVD resistant animals using GS was between 8 and 18% higher than pedigree best linear unbiased predictor (pBLUP) depending on the tested scenario. Furthermore, minor decreases in prediction accuracy were observed with decreased SNP density. However, the genetic relationship between the training and validation sets was a key factor in the efficacy of genomic prediction of KHVD resistance in carp, with substantially lower prediction accuracy when the relationships between the training and validation sets did not contain close relatives.
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Vesely, Tomas $u Veterinary Research Institute, Brno, Czechia.
- 700 1_
- $a Kocour, Martin $u Faculty of Fisheries and Protection of Waters, South Bohemian Research Centre of Aquaculture and Biodiversity of Hydrocenoses, University of South Bohemia České Budějovice, Vodňany, Czechia.
- 700 1_
- $a Prchal, Martin $u Faculty of Fisheries and Protection of Waters, South Bohemian Research Centre of Aquaculture and Biodiversity of Hydrocenoses, University of South Bohemia České Budějovice, Vodňany, Czechia.
- 700 1_
- $a Pokorova, Dagmar $u Veterinary Research Institute, Brno, Czechia.
- 700 1_
- $a Piackova, Veronika $u Faculty of Fisheries and Protection of Waters, South Bohemian Research Centre of Aquaculture and Biodiversity of Hydrocenoses, University of South Bohemia České Budějovice, Vodňany, Czechia.
- 700 1_
- $a Pojezdal, Lubomir $u Veterinary Research Institute, Brno, Czechia.
- 700 1_
- $a Houston, Ross D $u Royal (Dick) School of Veterinary Studies, The Roslin Institute, The University of Edinburgh, Midlothian, United Kingdom.
- 773 0_
- $w MED00184539 $t Frontiers in genetics $x 1664-8021 $g Roč. 10, č. - (2019), s. 543
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/31249593 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20190813 $b ABA008
- 991 __
- $a 20190819105129 $b ABA008
- 999 __
- $a ind $b bmc $g 1433975 $s 1067286
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2019 $b 10 $c - $d 543 $e 20190612 $i 1664-8021 $m Frontiers in genetics $n Front Genet $x MED00184539
- LZP __
- $a Pubmed-20190813