Table 1. Species delimitation methods based on multi-locus nuDNA sequences used in this study.
Method | Input | Category | Reference | Description | SD Criteria |
---|---|---|---|---|---|
STRUCTURE | alignment of phased alleles |
PG | Pritchard et al. [26] Falush et al. [53] |
Bayesian clustering method based on the estimation of allele frequencies | ΔK and plateau methods |
Haplowebs | alignment of phased alleles |
PG | Flot et al. [30] | Allele-sharing method, in which groups of individuals sharing a unique pool of alleles are connected by curves. | Group of individuals constituting a field for recombination [FFR] |
Conspecificity matrix (CM) | Conspecificity scores | PG | Debortoli et al. [31] | The conspecificity matrix was generated by calculating for each pair of individuals a conspecificity score, i.e., the number of markers supporting conspecificity in haploweb analyses. | Number of markers supporting the hypothesis of conspecificity |
BPP (Bayesian Phylogenetics and Phylogeography) |
alignment of consensus sequences | MSC | Yang and Rannala [64] | Bayesian method based on the MSC model, in which a reversible-jump Markov chain Monte Carlo algorithm is used to calculate the posterior probabilities of species delimitations. | Probability ≥ 0.95 |
STACEY (Species Tree and Classification Estimation, Yarely) |
alignment of phased alleles |
MSC | Jones [24] | Bayesian method implemented in BEAST 2 [65] for the inference of a “species or minimal clusters tree” (SMC) under the birth-death-collapse tree prior and without the requirement of a guide tree. | Probability ≥ 0.95 |
Individual assignment of alleles: present study | |||||
*BEAST (Species Tree Ancestral Reconstruction in BEAST) |
alignment of phased alleles |
MSC + P |
Program: Heled and Drummond [19]; Individual assignment of alleles: present study |
Bayesian method implemented in BEAST 2 [65] based on the MSC model | Probability ≥ 0.95 |
Bootstrap Analysis of Haplotypes | alignment of phased haplotypes |
PG+ + P |
Present study | Bootstrap consensus tree reconstructed with ML, MP or NJ methods |
Bootstrap ≥ 90 |
Supermatrix MrBayes |
alignment of consensus sequences | P | Ronquist et al. [46] | Bayesian inference of phylogeny | Probability ≥ 0.95 |
PhyML | Guindon et al. [47] | ML method for tree construction | Bootstrap ≥ 90 |
||
SuperTRI (SuperTree with Reliability Indices) |
Weighted binary matrix of node support for each locus | P | Ropiquet et al. [20] | Three measures are calculated to estimate the reliability of the nodes (SBP, MPP and NRep) using the branch support values (PP) of all phylogenetic hypotheses produced during the separate Bayesian analyses of the 21 introns | (1) SBP ≥ 90 (2) MPP ≥ 0.1 (3) NRep ≥ 2 |
SD: Species delimitation; PG: Population Genetics; MSC: Multispecies Coalescent; P: Phylogenetic methods; SBP: Supertree Boostrap Percentage; MPP: Mean Posterior Probability
Rep: Reproducibility Index; SPR: Subtree Pruning and Re-grafting