FASTQ file of spontaneously fermented Ethiopian honey wine, Tej

The aim of this research was to get an insight on the microbiota and microbiome involved in the spontaneously fermented Ethiopian honey wine, Tej. About 21 Tej samples were collected from three locations (Addis Ababa, Bahir Dar and Debre Markose) of Ethiopia. Due the natural fermentation system, our research hypothesis was, there will be a variation in the microbial community dominance among the samples collected from the same area and/or across the samples from different areas. However, the dominant bacterial or fungal genus were almost similar for both case of sampling situations. Nonetheless, these data were generated via high-through-put sequencing of the DNA that was extracted from the collected Tej samples. These FASTQ files are the raw data, that has to be pass through bioinformatics analysis using QIIAM 2, web-based calypso, and R studio to get a meaning full data. Meanwhile, after analyzing these raw data, the bacterial community structure was dominated by the genera of Lactobacillus (53.15%) and Zymomonas (38.41%). Similarly, the fungal community structure was exclusively dominated by genus of Saccharomyces (99.66%). Furthermore, both bacterial and fungal communities had shown no statistically significant differences in alpha diversity analysis based on the area of sample collection. However, the bacterial communities had a statically significant difference in Unweighted Unifrac beta diversity analysis. Nevertheless, still the bacterial quantitative beta diversity measurement had demonstrated that all of the samples had a similar dominate tax.

本研究旨在深入探究参与自发发酵的埃塞俄比亚蜂蜜酒Tej的微生物群和微生物组。研究人员从埃塞俄比亚的三个地区（亚的斯亚贝巴、巴赫达尔和德布雷马克索斯）收集了约21个Tej样本。鉴于其自然发酵系统，研究假设，在同一地区或不同地区收集的样本中，微生物群落的优势组成将存在差异。然而，在两种采样情况下，优势的细菌或真菌属几乎相似。尽管如此，这些数据是通过从收集的Tej样本中提取的DNA进行高通量测序而获得的。这些FASTQ文件是原始数据，必须通过QIIAM 2、基于网络的Calypso和R Studio进行生物信息学分析，以获得有意义的资料。同时，在分析这些原始数据后，细菌群落结构主要由乳杆菌属（53.15%）和芽孢杆菌属（38.41%）构成。同样，真菌群落结构则完全由酿酒酵母属（Saccharomyces）主导（99.66%）。此外，基于采样区域进行的α多样性分析表明，细菌和真菌群落之间没有统计学上的显著差异。然而，在未加权的Unifrac β多样性分析中，细菌群落表现出统计学上的显著差异。尽管如此，细菌的定量β多样性测量仍然表明，所有样本均有相似的优势分类单元。