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Bootstrap values were assessed with 1000 replicates.
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In ML analysis, the parameters were estimated during analysis and the node support values were assessed by bootstrap resampling (BP) [ 45] calculated using 100 replicates.
The different log-likelihood (log- lk) estimated for each inferred ML trees were normalized by the total number of characters for better comparison and are shown in Table 5. ML bootstrap-based (100 replicates) and aLRT confidence values were assessed on the branches of the different inferred trees.
The reproducibility in the sets of bootstrap-generated values was assessed by plotting confidence intervals at α = 0.05.
Bootstrap values were taken to assess branch reliability.
Bootstrap values were determined to assess the robustness of topologies with 1,000 replicates (27 ).
Bootstrap values were estimated to assess the relative support for relationships between haplotypes (1000 replicates) [ 53].
For all species represented by at least two individuals, clustering pattern (species monophyly, paraphyly, or polyphyly) and bootstrap values were examined to assess prospects for identifying Muscidae based on clustering-based approaches.
Non-parametric bootstrap values were calculated for ML analyses (100 replicates) to assess the significance of the resulting tree.
The confidence of the tree was assessed through 1000 bootstraps of allele frequency data: the majority rule tree and the bootstrap values were obtained with CONSENSE.
To assess the relative support for each clade, bootstrap values were calculated from 1,000 replicate analyses.
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