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. 2013 Mar 1;8(3):e57615. doi: 10.1371/journal.pone.0057615

Table 4. Denoising of mtDNA COI amplicons generated from community samples of Collembola from two forest sites on the island of Tenerife with the pipeline of Yu et al. (2012).

Site 1 Site 2
MID7 MID8 MID9 MID10 MID11 MID12
Total read count
Step 1 (quality control) 10,413 10,581 8,416 7,043 10,635 10,737
Step 2 (PyNAST, 60%) 10,394 10,572 8,392 7,040 10,603 10,712
Unique read count
Step 2 (PyNAST, 60%) 7,040 7,306 5,822 4,752 7,492 7,443
Step 2 (USEARCH) 2,021 [12] 2,032 [13] 1,621 [16] 1,452 [5] 2,255 [15] 2,147 [30]
Step 3 (MACSE) 709 719 305 152 940 817
Step 4 (DNACLUST, 99%) 580 610 267 139 805 710
Step 5 (CROP, 98%) 69 52 52 65 103 98

Steps 1–3 represent reduction of unique sequence volume by denoising, while steps 4 and 5 further reduce unique sequence volume by the creation of summary clusters of sequences. See Yu et al. (2012) for a detailed explanation of each of the steps. Bracketed values in step 2 represent sequences inferred to be chimeras with the de novo chimera detection function UCHIME in USEARCH, all of which were removed in step 4 of PyroClean.