Sex-biased dispersal produces high error rates in mitochondrial distance-based and tree-based species delimitation

Abstract

Abstract Species delimitation using mitochondrial sequences aims to identify species as morphological expertise and biodiversity both decline. Species delimitation in animals relies completely or in part on 2 criteria: genetic distance and reciprocal monophyly. Using coalescent simulations of populations experiencing continuous and interrupted gene flow we show that these commonly applied criteria incur both high false-positive and high false-negative error rates in species delimitation when dispersal is sex biased, as it is in most mammals. The combination of distance- and topology-based criteria will incur false-positive error rates well above 5% when ancestral effective population sizes are large and when population structure has been in place for 10,000 years or more. This effect persists even with a subtle bias in dispersal of 1 : 4 female : males dispersing in each generation. High false-positive error rates in genetic distances can be overcome by correcting for within-population sequence divergence...