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8 protocols using gs run processor

1

16S rRNA Amplicon Sequencing Pipeline

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Amplicon libraries were obtained using barcoded pyrosequencing primers 909F and 1492R, pooled, purified and quantified as described before (Berry et al., 2012 (link)). Pyrosequencing was performed with Titanium reagents on a 454 genome sequencer FLX (Roche, Vienna, Austria). All 20 samples collected on 5 sampling days were subjected to 16S rRNA amplicon sequencing, but one sample from day 1 was excluded from analysis due to low sequencing depth. Reads were quality-filtered using the amplicon pipeline of the GS Run Processor (Roche) and the Pyronoise algorithm in mothur (Schloss et al., 2011 (link)). Operational taxonomic units were generated at 97% sequence identity using UCLUST, as described (Berry et al., 2012 (link)). Amplicon sequencing libraries, which had a mean number of 17 999 reads (range [4415–26 495]) of an average length of 269 nt were re-sampled at 3500 reads for α- and β-diversity analyses using QIIME (Caporaso et al., 2010 (link)).
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2

Transcriptome Analysis of Plant Tissues

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Total RNA was extracted from stem, rhizome, root, or callus tissue using a modified CTAB method [38 (link)]. RNA quality was based on UV absorption ratios, where only samples with ratios above 2.0 (260/280 nm) and 2.2 (260/230 nm) were used. Poly(A) + RNA purification, cDNA library synthesis, emulsion-based PCR (emPCR) and NGS was performed at the McGill University and Génome Québec Innovation Center (Montréal, Québec) as described [53 (link)]. Briefly, RNA quality and quantity was assessed using NanoDrop ND-1000 (Thermo Scientific, Waltham, Massachusetts) and BioAnalyzer 2100 (Agilent Technologies, Santa Clara, California) instruments, and Poly(A) + RNA purification was done using either a Dynabeads mRNA Purification kit (Invitrogen) or TrueSeq Stranded mRNA Sample Prep kit (Illumina, San Diego, California). cDNA synthesis was performed using either a cDNA Rapid Library kit (Roche, Basel, Switzerland) or TruSeq Stranded mRNA Sample Prep kit (Illumina) depending on the downstream NGS method. For Roche-454 GS-FLX Titanium pyrosequencing, data processing was done using GS Run Processor (Roche) to generate Standard Flowgram Format (SFF) files. For Illumina GA and HiSeq sequencing, HCS 1.4 and CASAVA 1.6-1.8 software suites (Illumina) were used to generate raw fastq reads.
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3

Amplification and Sequencing of 16S rRNA Genes

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Genes encoding for 16S rRNA were amplified with primers f563-577: 5′-AYTGGGYDTAAAGNG-3′ (Cole et al., 2009 (link)) and r1406-1392: 5′- ACGGGCGGTGTGTRC-3′ (Lane, 1991 ). Each primer contained a 5′-end sequencing adapter (454 Sequencing Application Brief No. 001-2009, Roche); the forward primer also bore different tags (454 Sequencing Technical Bulletin No. 005-2009, Roche) for different samples. The 20-μL PCR mixture contained 0.2 mM dNTPs (Finnzymes, Finland), 0.25 μM primers (Generi Biotech, Czech Republic), 0.1 mg.mL-1 bovine serum albumin (New England BioLabs, Great Britain), 0.4 U of Phusion Hot Start II DNA Polymerase (Finnzymes, Finland) with the corresponding buffer, and template DNA (10–50 ng). The reaction conditions were as follows: 98°C for 30 s, 35 cycles of 98°C for 10 s, 60°C for 30 s, and 72°C for 60 s with final extension at 72°C for 10 min. Obtained PCR products were pooled to approximately the same concentrations of DNA and purified with AMPure XP Beads (Agencourt, Beckman Coulter, USA) following the manufacturer’s instructions in order to remove fragments shorter than 200 bp. Pooled amplicons were sequenced from the forward primer using GS FLX+ chemistry and results were analyzed with gsRunProcessor (Roche).
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4

Marine Microbial Community DNA Sequencing

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The total DNA of each sample from the SEATS water column was amplified with a multiple displacement amplification Kit (Genomophi V2 DNA Amplification Kit, GE Healthcare Life Sciences, Piscataway, NJ, USA), according to the manufacturer’s instruction. Small oligonucleotides in the samples were removed by centrifugation using microspin G-50 columns (GE Healthcare Life Sciences). Approximately 5 μg DNA of each sample was sequenced with the Genome Sequencer FLX System (Roche 454 Life Sciences) at Mission Biotech Corp. The default settings in GS Run Processor (v2.5, Roche 454 Life Sciences) were used for read quality control. High-quality reads were subsequently assembled using GS de novo Assembler (v1.1.02, Roche 454 Life Sciences) with a 40-bp minimum overlap and 99% consensus. Open reading frames were predicted from assembled contigs by using MetaGeneMark (http://exon.gatech.edu).
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5

Targeted 16S rRNA Sequencing of Bacteria and Archaea

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The hypervariable V6 region of 16S rRNA genes (abbreviated as V6) was adopted to probe bacterial and archaeal community composition. Tag sequencing samples were prepared as described [74 (link)], with primers 967 F (5′-CAACGCGAAGAACCTTACC-3′) and 1046R (5′-CGACAGCCATGCANCACCT-3′) for bacteria, and 958arcF (5′-AATTGGANTCAACGCCGG-3′) and 1048arcR (5′-CGRCGGCCATGCACCWC-3′) for archaea. Approximately 200 ng of each tagged V6 library was pooled and sent to Mission Biotech Corp. (Taipei, Taiwan) for sequencing with the Genome Sequencer FLX System (Roche 454 Life Sciences, Branford, CT, USA). At that facility, the software GS Run Processor (v2.5, Roche 454 Life Sciences) was applied for read quality control with default settings. Reads were removed if they were: (1) shorter than 75 bp, (2) longer than 115 bp, or (3) contained any mismatch in primers. The remaining V6 reads were sorted into different samples by tag (barcode) sequences using an in-house program (http://tanglab.csie.org/sorter/).
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6

Amplicon Variant Analysis Workflow

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The initial data analysis was carried out using software of the manufacturer (GS Run Processor, Roche), according to the preconfigured set of filters “Amplicons”, and then using application software Amplicon Variant Analyzer v. 3.0 (Roche).
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7

Amplicon Sequencing Data Processing

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Initial signal processing and quality filtering of pyrosequencing reads was performed using the automatic amplicon pipeline of the GS Run Processor (Roche) in order to remove failed and low-quality reads from the raw data. Sequencing errors and chimeras were removed using the programs Amplicon noise and Perseus according to Quince et al. [23 (link)]. Forward and reverse DNA sequences with an exact match over at least 100 bp were assembled via the custom C program using exact pairwise Needleman-Wunsch alignments [24 (link)]. Sequences were clustered into Operational Taxonomic Units (OTUs; defined as a group of sequences sharing 97% nucleotide sequence identity) using UCLUST software [25 (link)]. Singletons were removed from the dataset. Taxonomic classification and assignment of individual OTUs was performed using CREST LCAClassifier against the SilvaMod SSU rRNA reference database ([26 (link)], http://apps.cbu.uib.no/crest). The similarity cutoff for assignment has been set as follows: for the genus, family, order, class and phylum ranks the respective cut-offs are 97%, 95%, 90%, 85% and 80% identity, respectively [26 (link)].
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8

Sequencing Data Analysis Pipeline

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Sequencing data were analyzed with the GS Run Processor and the GS Amplicon Variant Analysis software (Roche) and SNVs were annotated, filtered, and assigned to major and minor subclones as described previously [29 (link)].
Moreover, the frequency of SNVs occurring in KRAS within the CoMMpass dataset was determined, which was generated as part of the Multiple Myeloma Research Foundation Personalized Medicine Initiatives (Initiatives 2014) [25 ].
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