Evidence map›Paper›PMID 31893578›Full record

ArticleMicrobiologyOpen2020

Characterization of the core microbiome in tobacco leaves during aging.

Jiaxi Zhou, Lifei Yu, Jian Zhang, Xiaomin Zhang, Yuan Xue, Jing Liu, Xiao Zou

Open access · goldAbstract read
In one paragraph

Article in MicrobiologyOpen, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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

47 citing papers in PubMed, 89 citations in OpenAlex.

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  12. Isolation of indigenousFrontiers in microbiology · 2025
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  15. Article
  16. Article
  17. Effects of Exocellobiohydrolase CBHA on Fermentation of Tobacco Leaves.Journal of microbiology and biotechnology · 2024
    Article
  18. Article
  19. Article
  20. Applied microbiology of the phyllosphere.Applied microbiology and biotechnology · 2024
    Review
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 at 4 institutions in 2 countries.

Jiaxi ZhouDepartment of Ecology, Institute of Fungal Resources, College of Life Sciences, Guizhou University, Guiyang, China.ORCID 0000-0002-1051-350X
Lifei YuDepartment of Ecology, Institute of Fungal Resources, College of Life Sciences, Guizhou University, Guiyang, China.
Jian ZhangDepartment of Ecology, Institute of Fungal Resources, College of Life Sciences, Guizhou University, Guiyang, China.
Xiaomin ZhangGuizhou Tobacco Industry Limited Liability Company, Guiyang, China.
Yuan XueGuizhou Tobacco Company Anshun Branch, Anshun, China.
Jing LiuGuizhou Tobacco Company Zunyi Branch, Zunyi, China.
Xiao ZouDepartment of Ecology, Institute of Fungal Resources, College of Life Sciences, Guizhou University, Guiyang, China.ORCID 0000-0002-3666-5536
Guizhou University · CNAnshun University · CNChina Tobacco · CNZunyi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbiome plays an important role during the tobacco aging process which was an indispensable link in the production and processing of cigarettes. However, the structure and functions of microbiome have not been clarified during the tobacco aging process. In this study, 16S rDNA and ITS amplicon sequencing techniques were used to analyze the core microbiome of 15 tobacco samples from five different aging stages. The whole bacterial microbiome was classified into 29 microbial phyla and 132 orders. Enterobacteriales (63%), Pseudomonadales (16%), Sphingomonadales (8%), Xanthomonadales (4%), Burkholderiales (4%), Rhizobiales (3%), and Bacillales (2%) comprised the core bacterial microbiome. The whole fungal microbiome was classified into five microbial phyla and 52 orders. Incertae_sedis_Eurotiomycetes (27%), Wallemiales (25%), Sporidiobolales (17%), Capnodiales (5%), Eurotiales (2%), an unclassified Ascomycota (12%), and an unidentified Eurotiomycetes (4%) comprised the core fungal microbiome. FAPROTAX function prediction suggested that the core microbiome has a substantial potential for the carbon cycle, nitrate metabolism, aromatic compound degradation, chitinolysis, cellulolysis, and xylanolysis, but simultaneously, the core microbiome is also a source of human pathogens. The dynamics of the bacterial community were primarily determined by the total nitrogen in tobacco leaves during the aging process, while those of the fungal microbiome were primarily determined by total organic carbon. This study indicated that the core microbiome activities may play an important role in regulating the loss of carbon organic compounds and enhancing the secondary metabolites during tobacco leaves aging process.

Indexed as

AgingBacteriaBiodiversityEnvironmentHumansMetagenomicsMicrobiotaNicotianaPlant Leavescommunity structurecore microbiomefunction predictionnutritional componentstobacco aging

Identifiers

PMID31893578
PMCPMC7066457
OpenAlexW2998412938

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.