Evidence map›Paper›PMID 41219454›Full record

ArticleMicrobial ecology2025

Integrated Multi-Omics Analysis Reveals Microbial Community Restructuring and its Role in Key Carbohydrate Metabolic Pathways During Tobacco Leaf Curing.

Cheng Zhang, Xiaohua Zhang, Feng Wang, Guanhui Li, Jie Ding, Yi Cao, Hancheng Wang, Shengjiang Wu, Xianchao Shang, Kesu Wei and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbial ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Cheng ZhangGuizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, 550081, China.
Xiaohua ZhangCollege of Plant Protection, Agricultural Big-Data Research Center and Key Laboratory of Agricultural Film Application of Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, Tai'an, 271018, China.
Feng WangGuizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, 550081, China.
Guanhui LiGuizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, 550081, China.
Jie DingCollege of Plant Protection, Agricultural Big-Data Research Center and Key Laboratory of Agricultural Film Application of Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, Tai'an, 271018, China.
Yi CaoGuizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, 550081, China.
Hancheng WangGuizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, 550081, China.
Shengjiang WuGuizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, 550081, China.
Xianchao ShangCollege of Plant Protection, Agricultural Big-Data Research Center and Key Laboratory of Agricultural Film Application of Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, Tai'an, 271018, China.
Kesu WeiGuizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, 550081, China. weiks8816@163.com.
Long YangCollege of Plant Protection, Agricultural Big-Data Research Center and Key Laboratory of Agricultural Film Application of Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, Tai'an, 271018, China. lyang@sdau.edu.cn.

Funding

Science and Technology Project of China Tobacco General Corporation 1102022202016 / 110202201019 (LS-03)Science and Technology Project of Guizhou Provincial Department of Science and Technology QKHJC-ZK [2022] YB288Science and Technology Project of Guizhou Tobacco Industry Technology Center 2022XM17Wellcome Trust 202111
6 · The paper itself

Abstract

Microorganisms play a significant role in improving the flavor and quality of plant products. Analyzing how tobacco processing affects the microbial community structure is essential. Understanding the synergistic mechanisms of microorganisms during this process can help optimize the flavor and quality of plant products. In this study, samples were collected from four processing stages (T1: fresh leaves, T2: 42 °C, T3: 54 °C, T4: 68 °C), and metabolite and Phylloplane microbial data of tobacco leaves were generated. A comprehensive multi-omics analysis was conducted. The study shows that the increase in temperature and the decrease in humidity during the processing lead to the reorganization of the microbial community. Brevibacterium, Staphylococcus, Aspergillus, and Ganoderma were identified as core biomarkers. Bacteria dominate in the initial degradation of starch, while fungi promote the accumulation of soluble sugars through the transformation of intermediate products. This study deepens our understanding of the role of microorganisms and their carbohydrate metabolism in the tobacco leaf processing process and proposes a new strategy for constructing regulatory models by integrating multi-omics.

Indexed as

BacteriaCarbohydrate MetabolismFungiMicrobiotaNicotianaPlant LeavesMetabolic Networks and PathwaysMetabolomicsMultiomicsTemperatureMetabolic pathwaysMetabolomesMicrobial communityMulti-omics analysisTobacco processing

Identifiers

PMID41219454
PMCPMC12605370

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.