Evidence map›Paper›PMID 41191230›Full record

ArticleBioresources and bioprocessing2025

Study on dynamic changes and correlations of microbial diversity, key enzyme activity and conventional components in tobacco leaves during the aging process.

Wen Cai, Qian-Ying Zhang, Peng-Cheng Zhu, Wanrong Hu, Hongyue An, Dan-Qun Huo, Dongliang Li

Abstract read
In one paragraph

Article in Bioresources and bioprocessing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 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

7 authors.

Wen CaiChina Tobacco Technology Innovation Center for Cigar, China Tobacco Sichuan Industrial Co., Ltd, Chengdu, 610066, China.
Qian-Ying ZhangChina Tobacco Technology Innovation Center for Cigar, China Tobacco Sichuan Industrial Co., Ltd, Chengdu, 610066, China.
Peng-Cheng ZhuTechnology Center, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, 610066, China.
Wanrong HuChina Tobacco Technology Innovation Center for Cigar, China Tobacco Sichuan Industrial Co., Ltd, Chengdu, 610066, China.
Hongyue AnChina Tobacco Technology Innovation Center for Cigar, China Tobacco Sichuan Industrial Co., Ltd, Chengdu, 610066, China.
Dan-Qun HuoCollege of Bioengineering, Chongqing University, Chongqing, 400000, China.
Dongliang LiChina Tobacco Technology Innovation Center for Cigar, China Tobacco Sichuan Industrial Co., Ltd, Chengdu, 610066, China. 1299768762@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study focuses on the aging process of strong-flavor flue-cured tobacco leaves (SCTL) and light-flavor flue-cured tobacco leaves (FCTL), and explores the effects of microbial metabolism and enzyme action on tobacco leaf components and quality during this process. It employs methods including high-throughput sequencing, functional prediction of microbial communities via the PICRUSt2/MetaCyc database, dynamic analysis of conventional components and enzyme activities, and redundancy analysis. The results showed that under the same aging duration, the microbial community diversity structures of tobacco leaves with different quality grades were similar, and a total of 21 species of differential bacteria and 9 species of differential fungi were screened out; During the aging process, the contents of starch and total phenols in tobacco leaves decreased significantly, reducing sugars and total sugars showed a fluctuating trend, while total nitrogen and total plant alkaloids had no significant changes. Among them, the starch content in SCTL was higher than that in FCTL, while the contents of total phenols, reducing sugars and total sugars in SCTL were lower than those in FCTL; the contents of total nitrogen and total plant alkaloids were comparable between the two types of tobacco leaves. Additionally, the contents of reducing sugars, total sugars and starch in both types of tobacco leaves were positively correlated with tobacco leaf grade, while the contents of total phenols and total nitrogen were negatively correlated with tobacco leaf grade; The enzyme activities in the two types of tobacco leaves showed fluctuating changes during aging, and redundancy analysis (RDA) identified significant correlations between microbial taxa, enzyme activities and tobacco leaf compounds. This study provides a basis for microbial strain selection and precision fermentation strategies in tobacco aging.

Indexed as

Aging processConventional componentsCorrelation analysisEnzyme activityMicrobial diversity

Identifiers

PMID41191230
PMCPMC12589753

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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.