Published November 20, 2019 | Version v1
Dataset Open

Raw metagenomic data from sweep net samples collected in 2016 as part of the Slikok Creek Watershed Biotic Inventory

Authors/Creators

  • 1. U.S. Fish & Wildlife Service, Kenai National Wildlife Refuge, Soldotna, Alaska

Description

We set out to inventory vascular plants, bryophytes, lichens, birds, arthropods, and earthworms on a grid of sites in the portion of Slikok Creek watershed that is on the Kenai National Wildlife Refuge, Kenai Peninsula, Alaska. Occurrence data, images, and field data sheets from this project are available via an Arctos project page at http://arctos.database.museum/project/10002227.

This dataset includes the raw FASTQ files from metagenomic processing and associated collection data. Of the 160 sweep net samples collected, 125 were selected for High Throughput Sequencing and shipped to RTL Genomics (http://rtlgenomics.com) for extraction and sequencing steps. Sequencing was performed on an Illumina MiSeq platform and reads were processed using RTL Genomics’ standard methods with the mlCOIlintF/HCO2198 primer set of Leray et al. (2013), yielding a 313 bp region of the COI gene.

Collection data are included in the file ArctosData_43C6167EB1.csv downloaded from Arctos. Extraction methods and sequencing methods provided by RTL Genomics are included in the files Bowser 4869.pdf and Illumina MiSeq Two-Step Method 454 profile only.docx. Primers used are provided in the file Bowser_4869M.txt. The archive FASTQ.zip contains all of the resulting FASTQ files.

These sequence data have also been been published to GenBank's Sequence Read Archive in accessions SRR10454582SRR10454706 under BioProject PRJNA427721.

Files

ArctosData_43C6167EB1.csv

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Additional details

References

  • Leray M, Yang JY, Meyer CP, Mills SC, Agudelo N, Ranwez V, Boehm JT, Machida RJ (2013) A new versatile primer set targeting a short fragment of the mitochondrial COI region for metabarcoding metazoan diversity: application for characterizing coral reef fish gut contents. Frontiers in Zoology 10:34. https://doi.org/10.1186/1742-9994-10-34