Microbial diversity from spent fuel storage ponds
Raw sequences were divided into samples by barcodes (up to one mismatch was permitted) using a sequencing pipeline. Quality control and trimming was performed using Cutadapt FastQC, and Sickle. MiSeq error correction was performed using SPADes. Forward and reverse reads were incorporated into full-length sequences with Pandaseq. Chimeras were removed using ChimeraSlayer, and OTUs were generated with UPARSE. OTUs were classifiedby Usearch at the 97 % similarity level, and singletons were removed. Rarefaction analysis was conducted using the original detected OTUs in Qiime. The taxonomic assignment was performed by the RDP classifier.