Evidence map›Paper›PMID 40740341›Full record

ArticleFrontiers in microbiology2025

Cu-Ag nanoparticles positively modulating the endophytic bacterial community in tomato roots affected by bacterial wilt.

Weimin Ning, Xuefeng Bao, Lei Jiang, Mei Yang, Tianhao Lei, Maoyan Liu, Yong Liu

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Weimin NingSchool of Agricultural Science, Xichang University, Xichang, China.
Xuefeng BaoSichuan Provincial Key Laboratory for Research and Utilization of Panxi Special Crops, Xichang University, Xichang, China.
Lei JiangSchool of Agricultural Science, Xichang University, Xichang, China.
Mei YangSchool of Agricultural Science, Xichang University, Xichang, China.
Tianhao LeiSchool of Agricultural Science, Xichang University, Xichang, China.
Maoyan LiuSchool of Agricultural Science, Xichang University, Xichang, China.
Yong LiuKey Laboratory of Pest Management of Horticultural Crop of Hunan Province, Hunan Academy of Agricultural Science, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Tomato bacterial wilt (TBW) is a destructive soil-borne bacterial infection caused by Ralstonia solanacearum. Various nanoparticles have been employed as antibacterial agents to manage TBW via soil application. However, research on the effects of nanoparticles on plant endophytes remains limited. Methods: Here, an analysis of the endophytic bacterial community was performed on healthy and infected tomatoes that were treated with Cu-Ag nanoparticles and thiodiazole-copper via high-throughput 16S rRNA gene amplicon sequencing. Results: The relative abundance levels of beneficial bacteria, including Acidobacteriota, Firmicutes, Actinobacteriota, and Myxococcota, were higher in infected tomato roots treated with Cu-Ag nanoparticles compared with thiodiazole-copper. Functional predictions show that Cu-Ag nanoparticles may affect pyruvate metabolism, oxidative phosphorylation, purine metabolism, carbon metabolism, secondary metabolite production, and the metabolic pathways associated with microbial communities. Discussion: These results could reveal the mechanism by which nanoparticles influence the endophytic microbiomes of plant roots and direct the rational application of nanoparticlesin sustainable agriculture.

Indexed as

bacterial communityCu-Ag nanoparticlesendophyteRalstonia solanacearumtomato

Identifiers

PMID40740341
PMCPMC12307443

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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.