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Fine Mapping without Phenotyping: Identification of Selection Targets in Secondary Evolve and Resequence Experiments.
Langmüller, Anna Maria; Dolezal, Marlies; Schlötterer, Christian.
Afiliação
  • Langmüller AM; Institut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria.
  • Dolezal M; Vienna Graduate School of Population Genetics, Vetmeduni Vienna, Vienna, Austria.
  • Schlötterer C; Plattform Bioinformatik und Biostatistik, Vetmeduni Vienna, Vienna, Austria.
Genome Biol Evol ; 13(8)2021 08 03.
Article em En | MEDLINE | ID: mdl-34190980
ABSTRACT
Evolve and Resequence (E&R) studies investigate the genomic selection response of populations in an Experimental Evolution setup. Despite the popularity of E&R, empirical studies in sexually reproducing organisms typically suffer from an excess of candidate loci due to linkage disequilibrium, and single gene or SNP resolution is the exception rather than the rule. Recently, so-called "secondary E&R" has been suggested as promising experimental follow-up procedure to confirm putatively selected regions from a primary E&R study. Secondary E&R provides also the opportunity to increase mapping resolution by allowing for additional recombination events, which separate the selection target from neutral hitchhikers. Here, we use computer simulations to assess the effect of different crossing schemes, population size, experimental duration, and number of replicates on the power and resolution of secondary E&R. We find that the crossing scheme and population size are crucial factors determining power and resolution of secondary E&R A simple crossing scheme with few founder lines consistently outcompetes crossing schemes where evolved populations from a primary E&R experiment are mixed with a complex ancestral founder population. Regardless of the experimental design tested, a population size of at least 4,800 individuals, which is roughly five times larger than population sizes in typical E&R studies, is required to achieve a power of at least 75%. Our study provides an important step toward improved experimental designs aiming to characterize causative SNPs in Experimental Evolution studies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article