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Updated: Sep 29, 2025

Author Spotlight: Exploring the Fermentation Microbiome Through Next-Generation Sequencing
Published on: December 1, 2023
Microbiome dataset of spontaneously fermented Ethiopian honey wine, Tej
Eskindir Getachew Fentie1,2,3, Minsoo Jeong2, Shimelis Admassu Emire3
1College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa 16417, Ethiopia.
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].
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