title: 16SrRNA sequence: Sample GGCE4
design: "Sequences were analyzed using the QIIME pipeline V1.7.0 (Caporaso et al., 2010). Paired-end reads were assigned to samples based on their unique barcode and truncated by cutting off the barcode and primer sequence. Paired-end reads from the original DNA fragments were merged using FLASH V1.2.7 (Magoc and Salzberg, 2011) and the splicing sequences were called raw tags. Remaining sequences were assigned to samples on the basis of the unique sequence barcodes. Quality filtering on the raw tags was performed under specific filtering conditions to obtain high-quality clean tags (Bokulich et al., 2013), according to QIIME V1.7.0 (Caporaso et al., 2010). All Effective Tags were clustered by Uparse software (Uparse V7.0.1001) (Edgar, 2013) and OTUs were conducted at 97% sequence similarity by default. A representative sequence was chosen from the most abundant sequence in each OTU. Representative sequences were aligned to the Greengenes database (DeSantis et al., 2006) using PyNAST (Caporaso et al., 2010) with a minimum percent identity of 75%. Using the UCHIME algorithm, chimera sequences arising from the PCR amplification were detected and excluded from the aligned representative sequences. The taxonomy of the OTUs was identified using BLAST against the Greengenes database. Based on the identified OTU dataset and corresponding taxonomic assignments, we constructed the OTU count table with taxonomy."