Pregled bibliografske jedinice broj: 1280975
Estimation of effective population size using genomic information: simulation and empirical evidence
Estimation of effective population size using genomic information: simulation and empirical evidence // Book of Abstract of International Conference Management of Animal and Plant Genetic Resources 2021
Tirana, Albanija, 2021. str. 30-30 (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1280975 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Estimation of effective population size using
genomic information: simulation and empirical
evidence
Autori
Vostry, Lubos ; Vostra-Vydrova, Hana ; Hofmanova, Barbara ; Drzaic, Ivana ; Cubric Curik, Vlatka ; Gorjanc, Gregor ; Curik, Ino
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of Abstract of International Conference Management of Animal and Plant Genetic Resources 2021
/ - , 2021, 30-30
Skup
International Conference Management of Animal and Plant Genetic Resources 2021
Mjesto i datum
Tirana, Albanija, 19.11.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Effective population size ; Genomics ; Inbreeding ; Linkage Disequilibrium ; Livestock
Sažetak
Effective population size (Ne) is a key parameter in population genetics because it is functionally related to genetic drift or stochastic variation in gene frequency, inbreeding, and linkage disequilibrium. Several methods have been applied to livestock populations using high-throughput genomic information ("SNeP", "NeEstimator" and "GONE"), all based on linkage disequilibrium (NeLD). In this study, we used computer simulations and empirical data (horse and sheep) to analyse how well the different NeLD estimates approximate the inbreeding effective population size (Ne) estimated from pedigree, genomic information (runs of homozygosity) and true autozygosity. Our analyses have shown that the recently proposed method implemented in the software GONE reliably estimates Nel when the population is constant, while estimates based on runs of homozygosity are promising but need further improvement.
Izvorni jezik
Engleski
Znanstvena područja
Poljoprivreda (agronomija)
POVEZANOST RADA
Projekti:
IP-2018-01-8708 - Primjena NGS metoda u procjeni genomske varijabilnosti preživača (ANAGRAMS) (Čubrić Čurik, Vlatka, HRZZ - 2018-01) ( CroRIS)
Ustanove:
Agronomski fakultet, Zagreb