Fig. 5: Inference of independent domestication events of apricot, with divergence in the face of gene flow, using random-forest approximate Bayesian computation combined with coalescent-based simulations.
From: Population genomics of apricots unravels domestication history and adaptive events
a fastSTRUCTURE barplot for the pruned dataset used for random-forest approximate Bayesian computation (ABC-RF) computations, excluding Prunus brigantina, clonemates and siblings, as well as recently admixed individuals. b Splitstree for the pruned dataset used for ABC-RF computations, branches being colored according to the clusters identified with fastSTRUCTURE. Values under population labels are the average number of nucleotide differences between genotypes (π). c Most likely scenario of apricot domestication inferred from ABC-RF. Parameter estimates are shown, with their 95% confidence interval in brackets. Arrows represent migration between two populations. Associated maps depicting the speciation (d) and domestication (e) histories of apricots, with the approximate periods of time, drawn from ABC inferences. For all panels: W4 in blue: wild Prunus. sibirica; W1 in red and W2 in yellow: wild Southern and Northern Central Asian P. Armeniaca, C1 in grey and CH in purple: European and Chinese cultivated P. armeniaca, respectively, and P. mume in pink. Population names correspond to the ones detected with fastSTRUCTURE. Maps are licensed as Creative Commons. Source data are provided as a Source Data file.
