Evidence map›Paper›PMID 36503199›Full record

ArticleThe plant pathology journal2022

Changes in the Composition and Microbial Community of the Pepper Rhizosphere in Field with Bacterial Wilt Disease.

Hyun Gi Kong, Mee Kyung Sang, Ju Hee An, Songhwa Kim, Yong Ju Jin, Jaekyeong Song

Abstract read
In one paragraph

Article in The plant pathology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Hyun Gi KongDepartment of Plant Medicine, College of Agriculture, Life and Environment Sciences, Chungbuk National University, Cheongju 28644, Korea.
Mee Kyung SangAgricultural Microbiology Division, National Institute of Agricultural Sciences, Rural Development Administration, Wanju 55365, Korea.
Ju Hee AnAgricultural Microbiology Division, National Institute of Agricultural Sciences, Rural Development Administration, Wanju 55365, Korea.
Songhwa KimAgricultural Microbiology Division, National Institute of Agricultural Sciences, Rural Development Administration, Wanju 55365, Korea.
Yong Ju JinAgricultural Microbiology Division, National Institute of Agricultural Sciences, Rural Development Administration, Wanju 55365, Korea.
Jaekyeong SongAgricultural Microbiology Division, National Institute of Agricultural Sciences, Rural Development Administration, Wanju 55365, Korea.

Funding

Rural Development Administration PJ01505101
6 · The paper itself

Abstract

Bacterial wilt caused by Ralstonia solanacearum is considered one of the most harmful diseases of pepper plants. Recently, research on plant disease control through the rhizosphere microbiome has been actively conducted. In this study, the relationship with disease occurrence between the neighboring plant confirmed by analyzing the physicochemical properties of the rhizosphere soil and changes in the microbial community. The results confirmed that the microbial community changes significantly depending on the organic matters, P2O5, and clay in the soil. Despite significant differences in microbial communities according to soil composition, Actinobacteriota at the phylum level was higher in healthy plant rhizosphere (mean of relative abundance, D: 8.05 ± 1.13; H: 10.06 ± 1.59). These results suggest that Actinobacteriota may be associated with bacterial wilt disease. In this study, we present basic information for constructing of healthy soil in the future by presenting the major microbial groups that can suppress bacterial wilt.

Indexed as

pepper plantRalstonia solanacearumrhizosphere microbiomesoil composition

Identifiers

PMID36503199
PMCPMC9742803

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.