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微生物组元分析揭示了发酵蔬菜的宏基因组特征。

Meta-analysis of microbiomes reveals metagenomic features of fermented vegetables.

机构信息

State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China.

State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, Jiangsu 214122, China.

出版信息

Food Res Int. 2023 Nov;173(Pt 1):113248. doi: 10.1016/j.foodres.2023.113248. Epub 2023 Jul 8.

Abstract

An insightful exploration of the fermented vegetable microbiome is the key to improving food quality and sustainability. Based on 57 fermented vegetable samples from China, Ireland, the UK, and Germany retrieved from public genome databases, we conducted a high-resolution meta-analysis of the fermented vegetable microbiomes. There were significant differences in the microbiota composition and functional pathway diversity of the tested samples, as reflected by the differences in their geographical origins. Metagenomic analysis also revealed the metagenomic features of carbohydrate-active enzymes and antibiotic resistance genes in the fermented vegetable metagenomes. Five putative new species were detected by recovering 221 metagenome-assembled genomes belonging to the genera Rubrobacteraceae, Bifidobacteriaceae, and Ruminococcaceae. Our results provide new ecological insights into the implications of fermented vegetable microbiota composition and functional potential and highlight the importance of high-resolution metagenomic analysis to further investigate the fermented food microbiome.

摘要

深入探究发酵蔬菜微生物组是提高食品质量和可持续性的关键。本研究基于从公共基因组数据库中检索到的来自中国、爱尔兰、英国和德国的 57 个发酵蔬菜样本,对发酵蔬菜微生物组进行了高分辨率的元分析。测试样本的微生物群落组成和功能途径多样性存在显著差异,这反映了它们的地理起源差异。宏基因组分析还揭示了发酵蔬菜宏基因组中碳水化合物活性酶和抗生素抗性基因的宏基因组特征。通过回收属于 Rubrobacteraceae、Bifidobacteriaceae 和 Ruminococcaceae 属的 221 个宏基因组组装基因组,检测到了 5 个可能的新种。我们的研究结果为发酵蔬菜微生物群落组成和功能潜力的影响提供了新的生态见解,并强调了高分辨率宏基因组分析对进一步研究发酵食品微生物组的重要性。

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