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Provedor de dados:  ArchiMer
País:  France
Título:  Estimating effective population size using RADseq: Effects of SNP selection and sample size
Autores:  Marandel, Florianne
Charrier, Gregory
Lamy, Jean-baptiste
Le Cam, Sabrina
Lorance, Pascal
Trenkel, Verena
Data:  2020-02
Ano:  2020
Palavras-chave:  Effective population size
Linkage disequilibrium
Skates and rays
Resumo:  Effective population size (Ne) is a key parameter of population genetics. However, Ne remains challenging to estimate for natural populations as several factors are likely to bias estimates. These factors include sampling design, sequencing method, and data filtering. One issue inherent to the restriction site‐associated DNA sequencing (RADseq) protocol is missing data and SNP selection criteria (e.g., minimum minor allele frequency, number of SNPs). To evaluate the potential impact of SNP selection criteria on Ne estimates (Linkage Disequilibrium method) we used RADseq data for a nonmodel species, the thornback ray. In this data set, the inbreeding coefficient FIS was positively correlated with the amount of missing data, implying data were missing nonrandomly. The precision of Neestimates decreased with the number of SNPs. Mean Ne estimates (averaged across 50 random data sets with2000 SNPs) ranged between 237 and 1784. Increasing the percentage of missing data from 25% to 50% increased Ne estimates between 82% and 120%, while increasing the minor allele frequency (MAF) threshold from 0.01 to 0.1 decreased estimates between 71% and 75%. Considering these effects is important when interpreting RADseq data‐derived estimates of effective population size in empirical studies.
Tipo:  Text
Idioma:  Inglês

Editor:  Wiley
Relação:  info:eu-repo/grantAgreement/EC/H2020/773713/EU//PANDORA
Formato:  application/pdf
Fonte:  Ecology And Evolution (2045-7758) (Wiley), 2020-02 , Vol. 10 , N. 4 , P. 1929-1937
Direitos:  info:eu-repo/semantics/openAccess

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