Proteomics

Dataset Information

0

A systemic view of microbial ecology in spontaneous fermentation of Chinese traditional pu-erh tea


ABSTRACT: To study the microbial functions, metaproteomes were extracted from 36 samples of fermented tea leaves and subjected to LC-MS/MS analyses. The MS/MS data were searched against the UniProt-protein database of the dominant microorganisms in the sample as identified by previous meta-barcoding analysis. In total, 5442479 microbial proteins, including amine oxidase, aminopeptidase, carboxypeptidase and catalase, were identified in each sample.

ORGANISM(S): Aspergillus Thermomyces Rasamsonia

SUBMITTER: Ming Zhao  

PROVIDER: PXD012223 | iProX | Thu Jan 03 00:00:00 GMT 2019

REPOSITORIES: iProX

altmetric image

Publications

Integrated Meta-omics Approaches To Understand the Microbiome of Spontaneous Fermentation of Traditional Chinese Pu-erh Tea.

Zhao Ming M   Su Xiao Q XQ   Nian Bo B   Chen Li J LJ   Zhang Dong L DL   Duan Shuang M SM   Wang Li Y LY   Shi Xing Y XY   Jiang Bin B   Jiang Wei W WW   Lv Cai Y CY   Wang Dao P DP   Shi Yang Y   Xiao Ying Y   Wu Jian-Lin JL   Pan Ying H YH   Ma Yan Y  

mSystems 20191119 6


The microbiome in fermentation has direct impacts on the quality of fermented foods and is of great scientific and commercial interest. Despite considerable effort to explain the microbial metabolism associated with food fermentation, the role of the microbiome in pu-erh tea fermentation remains unknown. Here, we applied integrated meta-omics approaches to characterize the microbiome in two repeated fermentations of pu-erh tea. Metabarcoding analysis of bacterial 16S rRNA genes showed a decrease  ...[more]

Similar Datasets

2019-07-14 | GSE84496 | GEO
2024-01-17 | GSE236037 | GEO
2015-09-29 | GSE73516 | GEO
| MSV000090278 | GNPS
| PRJNA1104766 | ENA
2025-05-26 | PXD062468 | Pride
| PRJEB51321 | ENA
2022-03-03 | PXD010972 | Pride
2023-02-09 | MSV000091238 | MassIVE
2018-09-15 | GSE119992 | GEO