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Identification success rate using simulated sequences under different scenarios.
Species identification success rate applying "all species barcodes" criteria was calculated as described above.
Five sequences from each species were sampled to calculate species identification success rate.
The identification success rate rose with increasing number of loci included in the analyses in all scenarios (Fig. 4).
When there was no migration between the two simulated species, the identification success rate increased with splitting time (Fig. 4a).
We found that missing 20%, 30% and up to 50% loci in the unknown sample had no effect in identification success.
Meier, R., Shiyang, K., Vaidya, G. & Ng, P. K. DNA barcoding and taxonomy in Diptera: a tale of high intraspecific variability and low identification success.
When gene flow was considered, high gene flow worked in concert with shallow divergence time to reduce the identification success rate (Fig. 4b-d).
The same patterns were obeserved in all of our simulated analyses, namely that the species identification success rate rose with increasing number of loci (Fig. 4).
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This gave us the actual re-identification success rate of the adversary.
In this simulation we mimic what the adversary would do and therefore we mimic the re-identification success rate of the adversary.
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