Microbiome dataset of eukaryotic and fungal communities in the bulk soil and root of wild Brassica napus in South Korea

This article describes the dataset of the eukaryotic and fun-gal microbiome in bulk soil and root of wild Brassica napus at five different grassland sites in South Korea. The microbiome datasets were obtained using Illumina MiSeq sequencing of the 18S rRNA gene and ITS1 gene. The raw sequences and metadata used for analysis are available at the National Cen-ter for Biotechnology Information (NCBI) (BioProject ID: PR-JNA821335). Raw data were clustered into amplicon sequence variants (ASVs) using the DADA2 pipeline and aligned against the SILVA 132 reference database and UNITE database. A to-tal of 5702 eukaryotic ASVs (1,913,372 reads) and 4565 fungal ASVs (9,032,969 reads) were extracted after quality-filtering. Rhizaria was the most dominant eukaryote at the class level, and Olpidiomycetes was the dominant fungal class in this dataset. As unintended releases of transgenic B. napus have been reported in South Korea [1] , the microbiome datasets produced in this work will be used as the foundation for en-vironmental risk assessment to understand the potential ef-fect of released transgenic B. napus on the natural ecosystem.(c) 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )