Environmental metabarcodes for insects: in silico PCR reveals potential for taxonomic bias
Version of Record online: 14 MAY 2014
© 2014 John Wiley & Sons Ltd
Molecular Ecology Resources
Volume 14, Issue 6, pages 1160–1170, November 2014
How to Cite
Clarke, L. J., Soubrier, J., Weyrich, L. S. and Cooper, A. (2014), Environmental metabarcodes for insects: in silico PCR reveals potential for taxonomic bias. Molecular Ecology Resources, 14: 1160–1170. doi: 10.1111/1755-0998.12265
- Issue online: 10 OCT 2014
- Version of Record online: 14 MAY 2014
- Accepted manuscript online: 17 APR 2014 09:02AM EST
- Manuscript Accepted: 11 APR 2014
- Manuscript Revised: 10 APR 2014
- Manuscript Received: 19 DEC 2012
|men12265-sup-0002-FigS1b.pdf||application/PDF||466K||Fig. S1 Drosophila melanogaster 16S ribosomal DNA (a) and cytochrome oxidase c subunit I (COI) sequence (b) showing primer-binding sites for newly designed and existing metabarcoding markers, as well as standard Sanger sequencing primers (Folmer et al. 1994; Simon et al. 1994).|
|men12265-sup-0003-FigS2.doc||Word document||602K||Fig. S2 Percentage of mismatches for each nucleotide within metabarcoding primer-binding sites for insect taxa with complete mitochondrial genomes available.|
Table S1 Taxonomic coverage and resolution (species level) of insect metabarcodes estimated by in silico PCR against a database of complete Anopheles mitochondrial genomes.
Table S2 In vitro PCR amplification success using newly developed insect metabarcodes with insect and potential contaminant DNA.
Table S3 Number of HTS reads for each combination of metabarcoding marker and thermal cycling protocol at each stage of read processing.
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