Evaluación de los filtros escalonados en plink y su efecto en la estructura poblacional de tepuihyla
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Date
2024
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Publisher
PUCE - Quito
Abstract
Step filtering techniques in RADseq can have significant effects on population and genetic structure results. The correct selection and application of filters are crucial to ensure data accurately concerning the genetic variability present in a particular population. An 80% of filtering data prioritizes the quality and biological relevance of the SNPs, a 70% and 50% of filtering criteria seek a balance between the conservation of genomic diversity and the elimination of low-quality markers. On the other hand, 30% of filtering data seeks to maximize genomic diversification by retaining a greater number of SNPs, including less common but potentially biologically important variants. To identify how filtering criteria influence population structure results, I used a principal component analysis (PCA) to synthesize genetic similarities and differences between populations. I used different populations of the Auyan-tepui frog (Tepuihyla edelcae) from the Canaima National Park in Venezuela.
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Keywords
Tepuihyla edelcae, Genética de población, Secuencia de nucleótidos, Polimorfismo de nucleótido simple, Análisis de componente principal, Variación genética