Evidence map›Paper›PMID 40761543›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Microbial community succession during tobacco fermentation reveals a flavor-improving mechanism.

Jingjing Zhu, Jitao Wang, Zichao An, Chen Shen, Hongxu Dong, Haojun Wang, Zhenxing Peng, Bo Yang, Juanjuan Liu, Xiaojie Wang and 1 more

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jingjing ZhuSchool of Life Sciences, Anhui University, Hefei, Anhui, China.
Jitao Wang *China Tobacco Anhui Industrial Co. Ltd., Hefei, Anhui, China.
Zichao An *School of Life Sciences, Anhui University, Hefei, Anhui, China.
Chen ShenChina Tobacco Anhui Industrial Co. Ltd., Hefei, Anhui, China.
Hongxu DongChina Tobacco Anhui Industrial Co. Ltd., Hefei, Anhui, China.
Haojun WangChina Tobacco Anhui Industrial Co. Ltd., Hefei, Anhui, China.
Zhenxing PengChina Tobacco Anhui Industrial Co. Ltd., Hefei, Anhui, China.
Bo YangChina Tobacco Anhui Industrial Co. Ltd., Hefei, Anhui, China.
Juanjuan LiuSchool of Life Sciences, Anhui University, Hefei, Anhui, China.
Xiaojie WangSchool of Life Sciences, Anhui University, Hefei, Anhui, China.
Zemin FangSchool of Life Sciences, Anhui University, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Flue-cured tobacco (FCT) requires fermentation to increase quality, with microorganisms playing a key role. However, microbial succession and functions during long-term fermentation remain unclear. Artificial microbial fermentation, which is more controllable and efficient, focuses on mining functional strains to optimize the process. Methods: In this study, the microbial community structure and function of FCT fermentated for 0-4 years were analyzed, and the changes of metabolites in tobacco leaves in different years were analyzed. Functional microorganisms were screened, and their potential for application in FCT fermentation was evaluated. Results: The results revealed that the FCT aging process was typified by the metabolic, transformative, and synthetic processes of alkaloids, their derivatives, and benzene ring compounds. Microbial succession leads to changes in metabolites, with Discussion: This study reveals the critical role of microbial succession in FCT fermentation and demonstrates that targeted inoculation of functional

Indexed as

flue-cured tobaccometabolitesmicrobial community analysismicrobial fermentationtobacco quality

Identifiers

PMID40761543
PMCPMC12319770

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.