Talenti, Andrea; Palhière, Isabelle; Tortereau, Flavie; Pagnacco, Giulio; Stella, Alessandra; Nicolazzi, Ezequiel L; Crepaldi, Paola; Tosser-Klopp, Gwenola (2018). Functional SNP panel for parentage assessment and assignment in worldwide goat breeds. Genetics, selection, evolution, 50(1), p. 55. BioMed Central 10.1186/s12711-018-0423-9
|
Text
Talenti et al GSE 2018.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (915kB) | Preview |
BACKGROUND
International standard panels of single nucleotide polymorphisms (SNPs) have replaced microsatellites in several species for parentage assessment and assignment (PA) purposes. However, such a resource is still lacking in goats. The application of a cheap tool for PA would help the management of goat populations by improving the reliability of pedigree registration and, consequently, allow a better implementation of breeding schemes or conservation programs.
RESULTS
Using data from the current GoatSNP50 chip, starting from a worldwide dataset of more than 4000 animals belonging to more than 140 breeds and populations from the AdaptMap initiative, we selected a panel of 195 SNPs. The assignment rate of this panel was up to 100% on an additional dataset that included 2000 Alpine and Saanen animals and highly related candidate sires.
CONCLUSIONS
In this study, we defined a highly informative SNP panel, which will be publicly available to worldwide breeders and laboratories. Its development on such a large number of breeds and populations, together with validation on a second set of cosmopolitan breeds, makes it a promising and important genomic tool for the goat species.
Item Type: |
Journal Article (Original Article) |
---|---|
Division/Institute: |
05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH) > Institute of Genetics 05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH) |
Subjects: |
500 Science > 590 Animals (Zoology) 600 Technology > 630 Agriculture |
ISSN: |
1297-9686 |
Publisher: |
BioMed Central |
Language: |
English |
Submitter: |
Cord Drögemüller |
Date Deposited: |
29 May 2019 12:07 |
Last Modified: |
13 Mar 2021 17:42 |
Publisher DOI: |
10.1186/s12711-018-0423-9 |
PubMed ID: |
30449282 |
Additional Information: |
Cord Drögemüller is a member of the AdaptMap Consortium |
BORIS DOI: |
10.7892/boris.127321 |
URI: |
https://boris.unibe.ch/id/eprint/127321 |