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Metagenomic approach reveals microbial diversity and predictive microbial metabolic pathways in Yucha, a traditional Li fermented food

机译:Metagenomic方法揭示了玉清中的微生物多样性和预测微生物代谢途径,一种传统的李发酵食品

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Yucha is a typical traditional fermented food of the Li population in the Hainan province of China, and it is made up of cooked rice and fresh fish. In the present study, metagenomic approach and culture-dependent technology were applied to describe the diversity of microbiota and identify beneficial microbes in the Yucha. At the genus level, Lactobacillus was the most abundant genus (43.82% of the total reads), followed by Lactococcus, Enterococcus, Vibrio, Weissella, Pediococcus, Enterobacter, Salinivibrio, Acinetobacter, Macrococcus, Kluyvera and Clostridium; this result was confirmed by q-PCR. PCoA based on Weighted UniFrac distances showed an apparent clustering pattern for Yucha samples from different locations, and Lactobacillus sakei, Lactobacillus saniviri and Staphylococcus sciuri represented OTUs according to the major identified markers. At the microbial functional level, it was observed that there was an enrichment of metabolic functional features, including amino acid and carbohydrate metabolism, which implied that the microbial metabolism in the Yucha samples tended to be vigorous. Accordingly, we further investigated the correlation between the predominant microbes and metabolic functional features. Thirteen species of Lactobacillus (147 strains) were isolated, and Lactobacillus plantarum (60 isolates) and Lactobacillus pentosus (34 isolates) were isolated from every sample.
机译:Yucha是中国海南省李人口典型的传统发酵食品,它由熟米饭和鲜鱼组成。在本研究中,应用偏见方法和培养依赖性技术来描述微生物群的多样性并鉴定yucha中的有益微生物。在Genus水平中,乳酸杆菌是最丰富的属(读数的43.82%),其次是乳酸乳球菌,肠球菌,血管,Weissella,Pediococcus,肠杆菌,Salinivio,雌激素,宏观菌,Kluyvera和Clostridium;通过Q-PCR确认该结果。基于加权Unifrac距离的PCOA显示了来自不同地点的yucha样品的表观聚类模式,以及根据主要鉴定标记物代表Otus的乳杆菌Sakei,Lactobacillus Saniviri和葡萄球菌。在微生物功能水平,观察到富集的代谢功能特征,包括氨基酸和碳水化合物代谢,这意味着雅氏样品中的微生物代谢倾向于剧烈。因此,我们进一步研究了主要微生物和代谢功能特征之间的相关性。分离了13种乳杆菌(147株),并从每个样品中分离出乳酸杆菌(60分离物)和乳杆菌(34分离物)。

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