关键词: Chinese dark teas FBMN GNPS amplicon sequencing fungi latitude metabolomics microbial diversity nonvolatile chemical diversity pile fermentation prenylated cyclic dipeptides Chinese dark teas FBMN GNPS amplicon sequencing fungi latitude metabolomics microbial diversity nonvolatile chemical diversity pile fermentation prenylated cyclic dipeptides Chinese dark teas FBMN GNPS amplicon sequencing fungi latitude metabolomics microbial diversity nonvolatile chemical diversity pile fermentation prenylated cyclic dipeptides

Mesh : Camellia sinensis China Fermentation Fermented Foods Metabolomics / methods

来  源:   DOI:10.1021/acs.jafc.2c01005

Abstract:
Understanding the microbial and chemical diversities, as well as what affects these diversities, is important for modern manufacturing of traditional fermented foods. In this work, Chinese dark teas (CDTs) that are traditional microbial fermented beverages with relatively high sample diversity were collected. Microbial DNA amplicon sequencing and mass spectrometry-based untargeted metabolomics show that the CDT microbial β diversity, as well as the nonvolatile chemical α and β diversities, is determined by the primary impact factors of geography and manufacturing procedures, in particular, latitude and pile fermentation after blending. A large number of metabolites sharing between CDTs and fungi were discovered by Feature-based Molecular Networking (FBMN) on the Global Natural Products Social Molecular Networking (GNPS) web platform. These molecules, such as prenylated cyclic dipeptides and B-vitamins, are functionally important for nutrition, biofunctions, and flavor. Molecular networking has revealed patterns in metabolite profiles on a chemical family level in addition to individual structures.
摘要:
了解微生物和化学多样性,以及是什么影响了这些多样性,对于传统发酵食品的现代制造很重要。在这项工作中,收集了中国黑茶(CDT),这是具有相对较高样品多样性的传统微生物发酵饮料。微生物DNA扩增子测序和基于质谱的非靶向代谢组学研究表明,以及非挥发性化学α和β多样性,由地理和制造程序的主要影响因素决定,特别是,混合后的纬度和堆发酵。基于特征的分子网络(FBMN)在全球天然产物社会分子网络(GNPS)网络平台上发现了CDT和真菌之间的大量代谢物共享。这些分子,如异戊二烯化的环状二肽和B族维生素,在功能上对营养很重要,生物功能,和味道。除了单个结构外,分子网络还在化学家族水平上揭示了代谢物谱的模式。
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