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
Affiliations
Eskindir Getachew Fentie
College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa 16417, Ethiopia; Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Korea; School of Chemical and Bio-Engineering, Addis Ababa Institute of Technology, Addis Ababa University, P.O. Box 385, King George VI Street, Addis Ababa 16417, Ethiopia
Minsoo Jeong
Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Korea
Shimelis Admassu Emire
School of Chemical and Bio-Engineering, Addis Ababa Institute of Technology, Addis Ababa University, P.O. Box 385, King George VI Street, Addis Ababa 16417, Ethiopia
Hundessa Dessalegn Demsash
School of Chemical and Bio-Engineering, Addis Ababa Institute of Technology, Addis Ababa University, P.O. Box 385, King George VI Street, Addis Ababa 16417, Ethiopia
Min A Kim
Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Korea; National Institute for Korean Medicine Development, Daegu, 38540, Korea
Hwang-Ju Jeon
Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Korea
Sung-Eun Lee
Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Korea
Setu Bazie Tagele
Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Korea
Yeong-Jun Park
Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Korea
Jae-Ho Shin
Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Korea; Corresponding author.
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].
