NDLI: Analysis of bacterial community structure of Fuzhuan tea with different processing techniques.

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Analysis of bacterial community structure of Fuzhuan tea with different processing techniques.

Content Provider	Europe PMC
Author	Liu, Shiquan Li, Taotao Yu, Songlin Zhou, Xiaohong Liu, Zhanjun Zhang, Xuemao Cai, Hongmei Hu, Zhiyuan
Copyright Year	2023
Abstract	AbstractThe composition and diversity of microbial communities are of considerable significance to the quality development of Camellia sinensis (Fuzhuan tea). In this study, we examined differences in the bacterial community structures of loose, lightly-pressed, hand-made, and machine-pressed Fuzhuan teas and raw dark tea. We observed notable differences in the bacterial communities of the five groups, where there were only 51 consensus sequences. ASV/OTU Venn diagram, Chao1, Ace, Simpson indices, and dilution curve analyses consistently revealed that machine-pressed tea exhibited the highest bacterial diversity. Taxonomically, Actinobacteria, Firmicutes, Proteobacteria, and Cyanobacteria were the dominant bacterial phyla in each group, whereas Corynebacterium, Methylobacterium, and Bifidobacterium were the dominant genera. Our findings revealed significant differences in the bacterial community structures of different Fuzhuan tea products derived from the same raw material, with bacterial diversity rising with increased product compaction.
Related Links	https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC9938538&blobtype=pdf
Page Count	10
Journal	Open Life Sciences [Open Life Sci]
Volume Number	18
DOI	10.1515/biol-2022-0573
PubMed Central reference number	PMC9938538
Issue Number	1
PubMed reference number	36820207
e-ISSN	23915412
Language	English
Publisher	De Gruyter
Publisher Date	2023-02-09
Access Restriction	Open
Rights License	This work is licensed under the Creative Commons Attribution 4.0 International License. © 2023 the author(s), published by De Gruyter
Subject Keyword	Fuzhuan tea processing technique high-throughput sequencing bacterial community structure
Content Type	Text
Resource Type	Article
Subject	Immunology and Microbiology Neuroscience Agricultural and Biological Sciences Biochemistry, Genetics and Molecular Biology

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