Metabarcoding dataset on the elicitation of Soybean and Mungbean using as elicitors for enhancing secondary metabolites production.

(RT) is commonly used as the microbial starter for various Indonesian traditional food. Consist of diverse microbial populations, RT has excellent agents as elicitors to augment the bioactive compounds in Soybean (SB) and Mungbean (MB). Metabarcoding analysis has shown to identify the microbial population involved in elicitation using RT. Inoculated RT from SB and MB were collected to extract the microbial DNA for the post-elicitation group. In comparison, DNA extraction from powdered RT was conducted as a pre-elicitation group. The total DNA were then sequenced by using the MiSeq Illumina platform with 16S rDNA gene region V3-V4 and 18S rDNA gene region V4 as a biomarker for bacterial and fungal identification, correspondingly. The obtained raw-data sequences were then analyzed using QIIME2 pipeline. According to the number of the acquired sequences, the 18S sequencing yielded more DNA strands than the 16S sequencing. However, the number of assigned OTUs was higher in 16S sequences than 18S sequences. From the perspective of the sample, RT has larger distinctive taxa, which were not identified in other samples. This metagenome data will provide fundamental information on RT employment in the elicitation process and further understanding of elicitation mechanisms using RT as biotic elicitors. The data is available at the BioProject database under the NCBI domain with accession no. PRJNA767401.