Evidence map›Paper›PMID 39035444›Full record

ArticleFrontiers in microbiology2024

Degradation and mechanism analysis of protein macromolecules by functional bacteria in tobacco leaves.

Chuandong Jiang, Decai Kong, Yangyang Li, Jingguo Sun, Zhenguo Chen, Mingfeng Yang, Shoutao Cao, Cunfeng Yu, Zengyu Wang, Jiazhu Jiang and 4 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Analysis of the effects ofFrontiers in bioengineering and biotechnology · 2024
    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

14 authors.

Chuandong Jiang *College of Plant Protection, Shandong Agricultural University, Tai'an, China.
Decai Kong *Shandong China Tobacco Industry Co., Ltd., Jinan, China.
Yangyang Li *Hunan Tobacco Research Institute, Changsha, China.
Jingguo SunHubei Provincial Tobacco Research Institute, Wuhan, China.
Zhenguo ChenHubei Provincial Tobacco Research Institute, Wuhan, China.
Mingfeng YangShandong China Tobacco Industry Co., Ltd., Jinan, China.
Shoutao CaoShandong China Tobacco Industry Co., Ltd., Jinan, China.
Cunfeng YuShandong China Tobacco Industry Co., Ltd., Jinan, China.
Zengyu WangShandong China Tobacco Industry Co., Ltd., Jinan, China.
Jiazhu JiangShandong China Tobacco Industry Co., Ltd., Jinan, China.
Chengguang ZhuShandong China Tobacco Industry Co., Ltd., Jinan, China.
Nan ZhangShandong China Tobacco Industry Co., Ltd., Jinan, China.
Guangwei SunHubei Provincial Tobacco Research Institute, Wuhan, China.
Qiang ZhangCollege of Plant Protection, Shandong Agricultural University, Tai'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tobacco, a crop of significant economic importance, was greatly influenced in leaf quality by protein content. However, current processing parameters fail to adequately meet the requirements for protein degradation. Microorganisms possess potential advantages for degrading proteins and enhancing the quality of tobacco leaves, and hold substantial potential in the process of curing. To effectively reduce the protein content in tobacco leaves, thereby improving the quality and safety of the tobacco leaves. In this study, tobacco leaf were used as experimental material. From these, the BSP1 strain capable of effectively degrading proteins was isolated and identified as

Indexed as

curingfunctional bacteriamechanism analysisprotein degradationtobacco

Identifiers

PMID39035444
PMCPMC11258012

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.