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

This article describes the dataset of the eukaryotic and fungal microbiome in bulk soil and root of wild 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 Center for Biotechnology Information (NCBI) (BioProject ID: PRJNA821335). 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 total 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 have been reported in South Korea [1], the microbiome datasets produced in this work will be used as the foundation for environmental risk assessment to understand the potential effect of released transgenic on the natural ecosystem.