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埃塞俄比亚自发发酵蜂蜜酒的微生物组数据集

Microbiome dataset of spontaneously fermented Ethiopian honey wine, .

作者信息

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

机构信息

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.

出版信息

Data Brief. 2022 Mar 14;42:108022. doi: 10.1016/j.dib.2022.108022. eCollection 2022 Jun.

Abstract

This dataset contains raw and analyzed microbial data for the samples of spontaneously fermented Ethiopian honey wine, , 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 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 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 samples is given in [1].

摘要

该数据集包含从埃塞俄比亚三个地点采集的自发发酵埃塞俄比亚蜂蜜酒样品的原始和分析后的微生物数据。它是使用不依赖培养的扩增子测序技术生成的。为了更好地了解来自相同和不同地点的样本之间微生物群落的差异和相似性,对从Illumina Miseq测序仪获得的原始测序数据进行了生物信息学分析。在所有样本中均观察到细菌和真菌群落的多样性和丰富度较低。此外,从德布雷马尔科斯地区采集的样本在细菌和真菌群落方面均显示出显著的鉴别分类群。简而言之,这个扩增子测序数据集为将这种自发发酵转变为定向接种发酵的现代化提供了有用的数据集合。关于样本微生物组的详细讨论见[1]。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33a3/8933813/39df1ecab1dd/gr1.jpg

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