Dataset on bacterial diversity using 16S metagenome analysis in fermented rice beer from two breweries and grape wine of Mizoram, Northeast India

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2024-09-11 DOI:10.1016/j.dib.2024.110932

Benjamin Lalbiakmawia , Sowmya Pulapet , Sowmiya Kathir , R. Lalengkimi , Kesavan Markkandan , Michael V． L. Chhandama , Senthil Kumar Nachimuthu , John Zothanzama

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Abstract

The microbial diversity of fermented rice beer and grape wine in Mizoram was explored using 16S metagenome analysis. The collected samples were marked as C1 and B1 for fermented rice beer and D1 for grape wine. Next-generation sequencing of the 16S rRNA (V3–V4 region) was performed using the Illumina NovoSeq 6000 platform. Operational taxonomic units (OTUs) were identified with QIIME2, and statistical analyses were performed using R packages. The metagenome of the three samples comprised 464,826 raw reads that represented 116,206,500 base pairs and were clustered into 336 OTUs. The phylum Firmicutes was predominant in C1 (55 %), B1 (53 %) and D1 (52 %), respectively and biosysnthesis, pyruvate fermentation to be abundant functions. By applying 16S metagenome analysis, this data provide insights in to the complex community of bacteria involved in the fermentation process and their potential roles and interactions.

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利用 16S 元基因组分析印度东北部米佐拉姆两家酿酒厂发酵米啤酒和葡萄美酒中的细菌多样性数据集

通过 16S 元基因组分析，研究了米佐拉姆地区发酵米啤酒和葡萄酿酒的微生物多样性。所采集的样品在发酵米啤中被标记为 C1 和 B1，在葡萄酒中被标记为 D1。利用 Illumina NovoSeq 6000 平台对 16S rRNA（V3-V4 区域）进行了新一代测序。使用 QIIME2 鉴定了操作分类单元（OTU），并使用 R 软件包进行了统计分析。三个样本的元基因组包括 464 826 个原始读数，代表 116 206 500 个碱基对，被聚类为 336 个 OTU。C1（55%）、B1（53%）和D1（52%）中分别以固着菌门为主，生物合成、丙酮酸发酵是其丰富的功能。通过应用 16S 元基因组分析，该数据提供了对参与发酵过程的复杂细菌群落及其潜在作用和相互作用的见解。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.