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. Author manuscript; available in PMC: 2019 Nov 1.
Published in final edited form as: J Microbiol Methods. 2018 Sep 29;154:6–13. doi: 10.1016/j.mimet.2018.09.019

Table 2. Amplicon Coverage and Model Utilization.

Amplicon sequencing data were evaluated using the 20 taxa HM-782D and 48 taxa 48G-Eq samples. Several of the amplicons where predicted, by in silico PCR, to have poor amplification for the species present in the SILVA 16S rRNA database. A species is ‘Predicted to amplify’ by a primer pair if the primers amplify 80% or more of the 16S rRNA sequences belonging to the species in the database. Predictions of poor amplification were empirically confirmed by the negligible number of species with a significant number of mapped reads (> 1% of total) when these two mock community samples were sequenced.

Variable Region Amplicon % SILVA Species Predicted to Amplify HM-782D (20-taxa consortium)
48G-Eq (48 taxa consortium; even)
% Total Reads % Species >1% Total Reads % Total Reads % Species >1% Total Reads
V1 0.2% 5.9% 0 3.3% 0
V1-V2 37.9% 4.6% 24 2.4% 21
V2 91.3% 7.6% 28 9.7% 21
V3_1 0.01% 9.7% 1 0.5% 2
V3_2 98.3% 10.6% 31 14.6% 23
V4 97.7% 7.9% 32 7.1% 23
V5-V6 96.6% 7.1% 27 6.3% 21
V5_1 73.8% 5.6% 0 1.7% 0
V5_2 0.1% 5.5% 1 4.6% 0
V6_1 98.6% 6.4% 27 14.2% 21
V6_2 0.04% 5.30% 0 7.6% 0
V6_3 0.04% 5.8% 0 8.3% 0
V7-V8 94.0% 9.0% 30 9.1% 22
V9 0.1% 7.1% 0 5.8% 0