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宏基因组和代谢物分析揭示了发酵过程中的微生物群落和代谢物动态变化。

Metagenomic and metabolite analysis reveals microbial community and metabolite dynamics in fermented .

作者信息

Yuan Xinyi, Zhang Dayan, Li Duanyang, Ji QiSen, Gao Jihai, Hou Feixia, Chen Yang'er

机构信息

School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.

College of Life Science, Sichuan Agricultural University, Ya'An, 625099, China.

出版信息

Heliyon. 2024 Aug 23;10(17):e36733. doi: 10.1016/j.heliyon.2024.e36733. eCollection 2024 Sep 15.

DOI:10.1016/j.heliyon.2024.e36733
PMID:39281597
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11401090/
Abstract

The soaking and fermentation of the stems and leaves is an important intermediate step in the processing of . However, the relationship between microbiota and yields is still poorly understood. This study aimed to compare microbial communities and metabolite profiles at various stages of soaking fermentation, followed by validation of the results using HPLC. A total of 731 compounds were identified through metabolite analysis, with the levels of indigo and indirubin peaking after 36 h of fermentation. Metagenomes revealed , , and were identified as the most abundant microbial phyla in soaking fermentation. Correlation analysis indicated that the yields of indigo and indirubin may be affected by , , and through the regulation of related synthetic enzymes. The findings offered novel perspectives on the relationship of microorganisms and yields.

摘要

茎叶的浸泡和发酵是……加工过程中的一个重要中间步骤。然而,微生物群与……产量之间的关系仍知之甚少。本研究旨在比较浸泡发酵各阶段的微生物群落和代谢物谱,随后使用高效液相色谱法验证结果。通过代谢物分析共鉴定出731种化合物,靛蓝和靛玉红的含量在发酵36小时后达到峰值。宏基因组显示,……、……、……和……被确定为浸泡发酵中最丰富的微生物门。相关性分析表明,靛蓝和靛玉红的产量可能受到……、……和……通过相关合成酶的调节的影响。这些发现为微生物与……产量之间的关系提供了新的视角。

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本文引用的文献

1
[Microbial community structure and transformation of indoles in soaking and fermentation of Indigo Naturalis].[天然靛蓝浸泡发酵过程中微生物群落结构及吲哚转化]
Zhongguo Zhong Yao Za Zhi. 2021 Jul;46(13):3180-3187. doi: 10.19540/j.cnki.cjcmm.20210408.303.
2
Species-level functional profiling of metagenomes and metatranscriptomes.宏基因组和宏转录组的物种水平功能分析。
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