ODFM, an omics data resource from microorganisms associated with fermented foods

Tae Woong Whon, Seung Woo Ahn, Sungjin Yang, Joon Yong Kim, Yeon Bee Kim, Yujin Kim, Ji Man Hong, Hojin Jung, Yoon E. Choi, Se Hee Lee, Seong Woon Roh

    Research output: Contribution to journalArticlepeer-review

    13 Citations (Scopus)

    Abstract

    ODFM is a data management system that integrates comprehensive omics information for microorganisms associated with various fermented foods, additive ingredients, and seasonings (e.g. kimchi, Korean fermented vegetables, fermented seafood, solar salt, soybean paste, vinegar, beer, cheese, sake, and yogurt). The ODFM archives genome, metagenome, metataxonome, and (meta)transcriptome sequences of fermented food-associated bacteria, archaea, eukaryotic microorganisms, and viruses; 131 bacterial, 38 archaeal, and 28 eukaryotic genomes are now available to users. The ODFM provides both the Basic Local Alignment Search Tool search-based local alignment function as well as average nucleotide identity-based genetic relatedness measurement, enabling gene diversity and taxonomic analyses of an input query against the database. Genome sequences and annotation results of microorganisms are directly downloadable, and the microbial strains registered in the archive library will be available from our culture collection of fermented food-associated microorganisms. The ODFM is a comprehensive database that covers the genomes of an entire microbiome within a specific food ecosystem, providing basic information to evaluate microbial isolates as candidate fermentation starters for fermented food production.

    Original languageEnglish
    Article number113
    JournalScientific data
    Volume8
    Issue number1
    DOIs
    Publication statusPublished - 2021 Dec

    Bibliographical note

    Funding Information:
    This research was supported by a grant from the World Institute of Kimchi (KE2101-2) funded by the Ministry of Science and ICT, Korea.

    Publisher Copyright:
    © 2021, The Author(s).

    ASJC Scopus subject areas

    • Statistics and Probability
    • Information Systems
    • Education
    • Computer Science Applications
    • Statistics, Probability and Uncertainty
    • Library and Information Sciences

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