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. 2014 Apr 2;9(4):e93740. doi: 10.1371/journal.pone.0093740

Table 2. Frequency of taxa identified corresponding to each taxon analysed with the mini-COI barcodes.

Sample (n) Barcoding identification Rank Frequency (n) Number of sequences
Lycosidae (20) Trochosa Genus 100 (20) 18088
Pardosa Genus 65 (13) 2884
Pardosa milvina Species 15 (9) 9
Lycosidae Family 10 (2) 29
Pardosa amentata Species 5 (1) 11
Pardosa giebeli Species 5 (1) 2
Pardosa paludicola Species 5 (1) 3
Varacosa avara Species 5 (1) 4
E. caraibea (97) E. caraibea Species 100 (97) 39114
Scolopendra (6) Scolopendra Genus 100 (6) 544
Scolopendra mutilans Species 67 (4) 323
Henicopidae Family 50 (3) 864
Lamyctes hellyeri Species 50 (3) 8
Anopsobius giribeti Species 17 (1) 28
Scolopendra subspinipes Species 17 (1) 10
Scolopendra multidens Species 17 (1) 8
Pleurostigmophora Subclass 17 (1) 7
Otostigmus aculeautus Species 17 (1) 4
Cicadellidae (3) Cicadellidae Family 67 (2) 29
C. sordidus (15) Cosmopolites sordidus Species 93 (14) 407
Oniscidae (2) Oniscidae Family 50 (1) 69
Blattodae (2) Blatella germanica Species 100 (2) 101
P. mellerborgi (2) Polytus mellerborgi Species 100 (2) 365
Gryllus (1) Gryllus Genus 100 (1) 136
Orocharis saltator Species 100 (1) 59
Gryllidae Family 100 (1) 16
A. castelnaui (2) Tribolium castaneum Species 100 (2) 16
Lumbricidae (2) (not assigned)
Rhinocricidae (2) (not assigned)
Paradoxosomatidae (2) (not assigned)
O. baurii (96) (not assigned)
C. sexguttatus (103) (not assigned)
S. geminata (155) (not assigned)
W. auropunctata (108) (not assigned)
Staphilinidae (10) (not assigned)

Generated by 454 pyrosequencing, the table displays the taxonomic rank, the frequencies of samples and the corresponding sample size in brackets, and the number of sequences corresponding to taxa identified by barcoding and belonging to the same order of the taxa analysed. A frequency of 100% means that all samples of the taxa analysed had at least two sequences of the taxa identified by barcoding (BLAST+ with E-value = 10−20, FASTA with 85% similarity threshold, and Nearest Neighbour algorithm for the final identification).