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Next-gen sequencing and metadata analyses of Great Lakes fungal data.
Cite this dataset:
Miller, Andrew N. (2018): Next-gen sequencing and metadata analyses of Great Lakes fungal data.. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9320144_V1
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Dataset Description

The data set consists of Illumina sequences derived from 48 sediment samples, collected in 2015 from Lake Michigan and Lake Superior for the purpose of inventoring the fungal diversity in these two lakes. DNA was extracted from ca. 0.5g of sediment using the MoBio PowerSoil DNA isolation kits following the Earth Microbiome protocol. PCR was completed with the fungal primers ITS1F and fITS7 using the Fluidigm Access Array. The resulting amplicons were sequenced using the Illumina Hi-Seq2500 platform with rapid 2 x 250nt paired-end reads. The enclosed data sets contains the forward read files for both primers, both fixed-header index files, and the associated map files needed to be processed in QIIME. In addition, enclosed are two rarefied OTU files used to evaluate fungal diversity.
Subject Life Sciences
Keywords Illumina; next-generation sequencing; ITS; fungi
License CC0
Funder National Institutes of Health-Grant:R01GM107490
Corresponding Creator Andrew N. Miller
Downloaded 608 times
Version DOI Comment Publication Date
2 10.13012/B2IDB-9320144_V2 Some environmental measurements removed from dataset, data files added. 2018-03-01
1 10.13012/B2IDB-9320144_V1 2018-03-01
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