Fig. 4: Model of divergence and prior and posterior distribution of paramater estimates. | Heredity

Fig. 4: Model of divergence and prior and posterior distribution of paramater estimates.

From: Population genetics reveals divergent lineages and ongoing hybridization in a declining migratory fish species complex

Fig. 4: Model of divergence and prior and posterior distribution of paramater estimates.The alternative text for this image may have been generated using AI.

Schematic of the best model of divergence (A) and distributions of prior and posterior parameter estimates based on the model of best fit associated with divergence and diversity data (B). A Simplified representation of the best inferred scenario of divergence between Alosa alosa and A. fallax. B Prior (gray) and Posterior (orange) parameter distributions inferred by Approximate Bayesian Computation. θ A. alosa = Scaled Effective population size of A. Alosa. θ A. alosa = Scaled Effective population size of A. fallax. θancestral = Effective population size of the ancestral population. All populations size are scaled by 4Nref*µ. Tsplit = split time (here Tsplit = tau* 4Nref). Tsc = Time of Secondary Contact. M12 = 4Nref*m12 and M21 = 4Nref*m21 corresponds to the scaled migration rate where mij represents the fraction of subpopulation i that is made up of migrants from subpopulation j each generation. All values are provided in coalescent units and scaled by the effective reference population size (Nref = 50,000).

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