A comparison of single-sample estimators of effective population sizes from genetic marker data.

摘要: In molecular ecology and conservation genetics studies, the important parameter of effective population size (Ne) is increasingly estimated from a single sample individuals taken at random genotyped number marker loci. Several estimators are developed, based on information linkage disequilibrium (LD), heterozygote excess (HE), coancestry (MC), sibship frequency (SF) in data. The most popular LD estimator, because it more accurate than HE MC estimators, simpler to calculate SF estimator. However, little known about accuracy estimator relative that SF, robustness all single-sample when some simplifying assumptions (e.g. mating, no linkage, genotyping errors) violated. This study fills gaps, uses extensive simulations compare biases accuracies 4 for different properties bottlenecks, non-random haplodiploid), polymorphisms) numbers markers), data imperfect (with allelic dropouts). Extensive show accurate, has much wider application scope suitable mating such as selfing, haplodiploid species, dominant markers) robust presence errors other estimators. An empirical dataset Yellowstone grizzly bear was analysed demonstrate use practice.