Evidence map›Paper›PMID 39554811›Full record

ArticleFrontiers in cellular and infection microbiology2024

Phyllospheric microbial community structure and carbon source metabolism function in tobacco wildfire disease.

Xia Xu, Liang Zhao, Yanfei Chen, Hancheng Wang, Liuti Cai, Yanyan Wang, Nalin N Wijayawardene, Weihua Pan, Feng Wang, Yingqian Kang

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. 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

10 authors.

Xia XuKey Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education of Guizhou & Institute of Health Research & Key Laboratory of Medical Microbiology and Parasitology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Liang ZhaoKey Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education of Guizhou & Institute of Health Research & Key Laboratory of Medical Microbiology and Parasitology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Yanfei ChenKey Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education of Guizhou & Institute of Health Research & Key Laboratory of Medical Microbiology and Parasitology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Hancheng WangGuizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, China.
Liuti CaiGuizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, China.
Yanyan WangKey Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education of Guizhou & Institute of Health Research & Key Laboratory of Medical Microbiology and Parasitology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Nalin N WijayawardeneCenter for Yunnan Plateau Biological Resources Protection and Utilization, College of Biological Resource and Food Engineering, Qujing Normal University, Qujing, Yunnan, China.
Weihua PanDepartment of Dermatology, Changzheng Hospital, Shanghai, China.
Feng WangGuizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, China.
Yingqian KangKey Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education of Guizhou & Institute of Health Research & Key Laboratory of Medical Microbiology and Parasitology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phyllospheric microbial composition of tobacco plants is influenced by multiple factors. Disease severity level is one of the main influencing factors. This study was designed to understand the microbial community in tobacco wildfire disease with different disease severity levels. Tobacco leaves at disease severity level of 1, 5, 7, and 9 (L1, L5, L7, and L9) were collected; both healthy and diseased leaf tissues for each level were collected. The community structure and diversity in tobacco leaves with different disease severity levels were compared using high-throughput technique and Biolog Eco. The results showed that in all healthy and diseased tobacco leaves, the most dominant bacterial phylum was Proteobacteria with a high prevalence of genus

Indexed as

BacteriaCarbonMicrobiotaNicotianaPlant DiseasesPlant LeavesFungiPhylogenyWildfiresCarbonbiolog-ecodisease severityhigh-throughput sequencingmicrobial communitytobacco wildfire disease

Identifiers

PMID39554811
PMCPMC11564158

What OpenQuestion holds

Textmetadata
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.