Evidence map›Paper›PMID 41489776›Full record

ArticleBioresources and bioprocessing2026

Integrated multi-omics reveals microbial and metabolic mechanisms driving enhanced fermentation quality in cigar tobacco leaves with exogenous additives.

Ping Han, Dongfeng Guo, Mingzhu Zhang, Xuefeng Wu, Dongdong Mu, Yaqi Shi, Rui Zhao, Tianfei Zheng, Xingjiang Li

Abstract read
In one paragraph

Article in Bioresources and bioprocessing, 2026. 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
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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

9 authors.

Ping HanKey Laboratory for Agricultural Products Processing, Anhui Fermented Food Engineering Research Center, School of Food and Biological Engineering, Hefei University of Technology, Danxia Road 485#, Hefei City, 230601, Anhui Province, China.
Dongfeng GuoChina Tobacco Anhui Industrial Co., Ltd., Huangshan Road 606#, Hefei City, 230088, Anhui Province, China. gdf0221@163.com.
Mingzhu ZhangKey Laboratory for Agricultural Products Processing, Anhui Fermented Food Engineering Research Center, School of Food and Biological Engineering, Hefei University of Technology, Danxia Road 485#, Hefei City, 230601, Anhui Province, China.
Xuefeng WuKey Laboratory for Agricultural Products Processing, Anhui Fermented Food Engineering Research Center, School of Food and Biological Engineering, Hefei University of Technology, Danxia Road 485#, Hefei City, 230601, Anhui Province, China.
Dongdong MuKey Laboratory for Agricultural Products Processing, Anhui Fermented Food Engineering Research Center, School of Food and Biological Engineering, Hefei University of Technology, Danxia Road 485#, Hefei City, 230601, Anhui Province, China.
Yaqi ShiKey Laboratory for Agricultural Products Processing, Anhui Fermented Food Engineering Research Center, School of Food and Biological Engineering, Hefei University of Technology, Danxia Road 485#, Hefei City, 230601, Anhui Province, China.
Rui ZhaoKey Laboratory for Agricultural Products Processing, Anhui Fermented Food Engineering Research Center, School of Food and Biological Engineering, Hefei University of Technology, Danxia Road 485#, Hefei City, 230601, Anhui Province, China.
Tianfei ZhengKey Laboratory for Agricultural Products Processing, Anhui Fermented Food Engineering Research Center, School of Food and Biological Engineering, Hefei University of Technology, Danxia Road 485#, Hefei City, 230601, Anhui Province, China.
Xingjiang LiKey Laboratory for Agricultural Products Processing, Anhui Fermented Food Engineering Research Center, School of Food and Biological Engineering, Hefei University of Technology, Danxia Road 485#, Hefei City, 230601, Anhui Province, China. lixingjiang@hfut.edu.cn.ORCID http://orcid.org/0000-0002-5455-8240

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural exogenous additives (EA) suitable for the tobacco fermentation need to be developed to enhance the fermentation quality and economic value of low-grade cigar tobacco leaves (CTLs). This study analyzed the impacts of three compound Chinese herbal medicine (CHM) on metabolites and microorganisms during CTLs fermentation. The results manifested that EA facilitated the degradation of total sugar, starch and protein, while enhancing the accumulation of reducing sugar in CTLs. Furthermore, EA raised contents of free amino acids (FAAs), while Asp, Glu, Ser and His were found to be key differential FAAs of CTLs. During fermentation, the total contents of volatile flavor components (VFCs) initially increased and then declined. Furthermore, EA contributed to more harmonious compositions of VFCs by promoting the formation of neophytadiene, ketones, esters and aldehydes, as well as facilitating nicotine degradation. According to variable importance in the projection (VIP) > 1 and odor activity value (OAV) > 1, 7 key differential VFCs were identified. EA enhanced positive microbial interactions and led to a more stable and coordinated symbiotic network. Linear discriminant analysis effect size (LEfSe) identified 9 genera as differentially dominant microorganisms in CTLs, which were closely associated with chemical compositions and key differential flavor metabolites. In addition, EA promoted cigar tobacco characteristics (CTCs) by altering bacterial alpha diversity and influencing the assembly of dominant microbial communities. Overall, this study offered theoretical insights into the innovative applications of CHM in CTLs fermentation, and presented new perspectives for enhancing CTLs quality and customizing flavor profiles.

Indexed as

Cigar tobacco leavesExogenous additivesFlora structureMetabolic compoundsMicrobial community

Identifiers

PMID41489776
PMCPMC12770121

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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.