The MiniSeq reads (Pichler et al., 2018 (link)) were quality trimmed and assembled using USEARCH version 11.0.667 with the default parameters (Edgar, 2010 (link)). Reads were then de novo clustered at 97% identity using UPARSE; operational taxonomic units (OTUs) represented by a single sequence were discarded (Edgar, 2013 (link)). Taxonomic assignments were generated by QIIME 1.9.1 (Caporaso et al., 2010 (link)) using the implemented BLAST method against the SILVA rRNA gene database release 132 (Quast et al., 2013 (link)). The genera Pseudomonas, Ralstonia, Variovorax, or Streptococcus were also removed as these are common contaminants of molecular reagent kits (Salter et al., 2014 (link)) and we typically find these genera in DNA extraction blanks from our lab (Coskun et al., 2018 (link); Pichler et al., 2018 (link)). Statistical analyses and plots were performed using R. Studio version 3.3.0 (RStudio Team, 2015 ). The 16S rRNA gene sequence data is stored in the NCBI Short Read Archive under BioProject ID
Environmental 16S Amplicon Sequencing Protocol
The MiniSeq reads (Pichler et al., 2018 (link)) were quality trimmed and assembled using USEARCH version 11.0.667 with the default parameters (Edgar, 2010 (link)). Reads were then de novo clustered at 97% identity using UPARSE; operational taxonomic units (OTUs) represented by a single sequence were discarded (Edgar, 2013 (link)). Taxonomic assignments were generated by QIIME 1.9.1 (Caporaso et al., 2010 (link)) using the implemented BLAST method against the SILVA rRNA gene database release 132 (Quast et al., 2013 (link)). The genera Pseudomonas, Ralstonia, Variovorax, or Streptococcus were also removed as these are common contaminants of molecular reagent kits (Salter et al., 2014 (link)) and we typically find these genera in DNA extraction blanks from our lab (Coskun et al., 2018 (link); Pichler et al., 2018 (link)). Statistical analyses and plots were performed using R. Studio version 3.3.0 (RStudio Team, 2015 ). The 16S rRNA gene sequence data is stored in the NCBI Short Read Archive under BioProject ID
Corresponding Organization : Ludwig-Maximilians-Universität München
Other organizations : Istanbul University-Cerrahpaşa, Technical University of Munich
Protocol cited in 1 other protocol
Variable analysis
- Universal primers targeting the V4 hypervariable region of 16S ribosomal RNA (rRNA) genes
- 16S rRNA gene sequences
- PCR reactions carried out as described previously (Coskun et al., 2019)
- Dual-indexed barcoded sequencing of 16S rRNA gene amplicons on the Illumina MiniSeq as described previously (Pichler et al., 2018)
- Quality trimming and assembly of MiniSeq reads using USEARCH version 11.0.667 with default parameters (Edgar, 2010)
- De novo clustering of reads at 97% identity using UPARSE, discarding OTUs represented by a single sequence (Edgar, 2013)
- Taxonomic assignments generated by QIIME 1.9.1 using the BLAST method against the SILVA rRNA gene database release 132 (Caporaso et al., 2010; Quast et al., 2013)
- Removal of genera Pseudomonas, Ralstonia, Variovorax, or Streptococcus as common contaminants (Salter et al., 2014; Coskun et al., 2018; Pichler et al., 2018)
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