Evidence map›Paper›PMID 40991027›Full record

ArticleApplied microbiology and biotechnology2025

Bacteria dynamics and its correlation with chemical composition changes in tobacco leaves during flue curing.

Yunfei Sha, Mengqian Zhou, Demin Liang, Jie Yu, Yanjiu Bi, Qiansi Chen, Huina Zhou, Xianchao Shang, Da Wu

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yunfei ShaTechnology Center of Shanghai, Tobacco Group Co. Ltd, Shanghai, 201315, China.
Mengqian ZhouTechnology Center of Shanghai, Tobacco Group Co. Ltd, Shanghai, 201315, China.
Demin LiangTechnology Center of Shanghai, Tobacco Group Co. Ltd, Shanghai, 201315, China.
Jie YuTechnology Center of Shanghai, Tobacco Group Co. Ltd, Shanghai, 201315, China.
Yanjiu BiTechnology Center of Shanghai, Tobacco Group Co. Ltd, Shanghai, 201315, China.
Qiansi ChenChina Tobacco Gene Research Center, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, 450001, China.
Huina ZhouChina Tobacco Gene Research Center, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, 450001, China. zhouhn@ztri.com.cn.ORCID http://orcid.org/0000-0002-2285-2293
Xianchao ShangCollege of Plant Protection, Shandong Agricultural University, Taian, 271099, China.
Da WuTechnology Center of Shanghai, Tobacco Group Co. Ltd, Shanghai, 201315, China. wud@sh.tobacco.com.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganisms play a vital role in tobacco growth and processing, yet their correlation with chemical composition during flue curing is understudied. This study examines the dynamic changes in chemical components and bacterial communities during flue curing of lower, middle, and upper leaves. Several key constituents showed distinct changes across leaf positions and curing stages. Xanthophyll decreased during the yellowing stage, while neutral fragrance substances increased after yellowing, especially in middle leaves. Sucrose and proline showed a predominant increasing trend throughout the entire curing process. Nicotine in lower leaves was lowest, and significantly increased by flue curing. Bacterial community analysis revealed higher alpha diversity in lower leaves, dominated by Proteobacteria, with Pseudomonas and Acinetobacter prevalent in lower and middle leaves, and Aeromonas in upper leaves. The flue-curing process, especially the yellowing stage, significantly altered bacterial community structure. PICRUSt (Phylogenetic Investigation of Communities by Reconstruction of Unobserved States) analysis revealed stage- and leaf position-dependent variations in predicted microbial metabolic functions, with predominant involvement in amino acid, lipid, and carbohydrate metabolism pathways. Specific bacteria, like Flavobacterium, were significantly associated with multiple chemical components, suggesting their potential roles in chemical changes of tobacco leaves during curing. These insights highlight the complex interplay between chemical composition and bacterial dynamics, offering opportunities to optimize the curing process for enhanced tobacco quality.

Indexed as

BacteriaNicotianaPlant LeavesPhylogenyBacterial communityChemical compositionCorrelation analysisFlue curingTobacco leaves

Identifiers

PMID40991027
PMCPMC12460388

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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.