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To estimate phylogenetic relationships, Bayesian inference (BI) and maximum likelihood (ML) were implemented for a concatenated dataset of all loci, as well as for concatenated mitochondrial and nuclear sequences separately.
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ML analyses were implemented in RAxML version 7.2.6 [ 66].
Neighbor Joining (NJ), minimum evolution (ME), and maximum likelihood (ML) analyses were implemented using this model.
NJ and ML trees were implemented in Mega5.2 (Tamura et al. 2011), and 1,000 replicates bootstrap was used to access the reliability of branches.
All ML phylogenetic analyses were implemented with RAxML v. 7.3.0 [ 156, 157].
ML and NJ were implemented with PAUP 4.0b10 [ 55] and the branch-and-bound algorithm was used for tree searching.
ML-based analysis were implemented using CODEML of PAML package v4.0b [ 20].
To assess confidence in individual nodes, MP, ML and NJ bootstrapping were implemented with 1000 pseudoreplicates and BMCMC posterior probabilities were reported.
Two different approaches of tree reconstruction, Maximum Likelihood (ML) and Bayesian Inference (BI), were implemented.
Cultivation processes were implemented in 250 ml Erlenmeyer flasks containing 50 ml medium.
Both of the neighbor-joining (NJ) and maximum likelihood (ML; JTT model, bootstrap 100) methods were implemented in the software MEGA5 [ 42].
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