Microbiome dataset of spontaneously fermented Ethiopian honey wine, Tej

Eskindir Getachew Fentie, Minsoo Jeong, Shimelis Admassu Emire, Hundessa Dessalegn Demsash, Min A. Kim, Hwang Ju Jeon, Sung Eun Lee, Setu Bazie Tagele, Yeong Jun Park, Jae Ho Shin

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This dataset contains raw and analyzed microbial data for the samples of spontaneously fermented Ethiopian honey wine, Tej, collected from three locations of Ethiopia. It was generated using culture independent amplicon sequencing technique. To gain a better understanding of microbial community variance and similarity across Tej samples from the same and different locations, the raw sequenced data obtained from the Illumina Miseq sequencer was subjected to a bioinformatics analysis. Lower diversity and richness of both bacterial and fungal communities were observed for all of the Tej samples. Besides, samples collected from Debre Markos area showed a significant discriminating tax for both bacterial and fungal communities. In nutshell, this amplicon sequencing dataset provides a useful collection of data for modernizing this spontaneous fermentation into a directed inoculated fermentation. Detail discussion on microbiome of Tej samples is given in [1].

Original languageEnglish
Article number108022
JournalData in Brief
Volume42
DOIs
StatePublished - Jun 2022

Keywords

  • Alpha diversity
  • Beta diversity
  • Linear discriminated analysis
  • Tej

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