Relative accuracy of three common methods of parentage analysis in natural populations

作者: Hugo B. Harrison , Pablo Saenz‐Agudelo , Serge Planes , Geoffrey P. Jones , Michael L. Berumen

DOI: 10.1111/MEC.12138

关键词: MicrosatelliteInferenceMolecular ecologyRange (statistics)StatisticsGenotypingGeneticsBiologySampling (statistics)Bayes' theoremVariance (accounting)

摘要: Parentage studies and family reconstructions have become increasingly popular for investigating a range of evolutionary, ecological behavioural processes in natural populations. However, number different assignment methods emerged common use the accuracy each may differ relation to loci examined, allelic diversity, incomplete sampling all candidate parents presence genotyping errors. Here, we examine how these factors affect three parentage inference (COLONY, FAMOZ an exclusion-Bayes’ theorem approach by Christie (Molecular Ecology Resources, 2010a, 10, 115) resolve true parent–offspring pairs using simulated data. Our findings demonstrate that increases with diversity loci. These were clearly most important obtaining accurate assignments explaining 75–90% variance overall across 60 scenarios. Furthermore, proportion sampled had small but significant impact on susceptibility method either false-positive or false-negative assignments. Within values simulated, COLONY outperformed FaMoz, which method. 20 more highly polymorphic loci, could be applied confidence. results show populations, careful consideration quality markers will increase mitigate effects parental

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