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. 2018 May 1;9:771. doi: 10.3389/fmicb.2018.00771

Table 2.

Comparative benchmark analysis of the filtering performance of the GET_PHYLOMARKERS pipeline when run using the FastTree (FT) and IQ-TREE (IQT) maximum-likelihood algorithms, under default and high search-intensity levels.

Test FTdef FThigh IQTdef IQThigh
Alignments passing the Phi recombination test 127/239 (53.14%) 125/239 (52.30%) 125/239 (52.30%) 127/239 (53.14%)
Outlier phylogenies (kdetrees test; k = 1.0) out of the indicated number of non-recombinant alignments 22/127 (17.32%) passing: 105 18 (14.17%) passing: 107 19 (14.96%) passing: 106 22 (17.32%) passing: 105
Alignments passing the phylogenetic signal (mean SH-alrt bipartition support; m ≥ 0.7) test 98/105 (93.33%) 99/107 (92.52%) 52/106 (49.05%) 55/105 (52.38%)
Concatenated top-scoring markers, lnL score, substitution model and number of independent searches 98 markers 99 markers 52 markers 55 markers
var. sites = 36,082 var. sites = 35,509 var. sites = 25,383 var. sites = 26,988
lnL = −917444.522 lnL = −899898.614 lnL = −666437.563 lnL = −707933.476
GTR+G GTR+G GTR+F+ASC+R6 GTR+F+ASC+R6
Searches = 1 Searches = 1 Searches = 1 Searches = 5
Total wall-clock time of runs on 50 cores 0 h:13 m:39 s 0 h:38 m:30 s 1 h:22 m:18 s 2 h:40 m:13 s

The analyses were started with the stringently defined set of 239 consensus core-genome clusters computed by GET_HOMOLOGUES for a dataset of 119 genomes (112 Stenotrophomonas spp. and 7 Xanthomonas spp.).