Evidence map›Paper›PMID 42540459›Full record

ArticleFrontiers in microbiology2026

Rhizosphere microecological characteristics associated with tobacco root-knot nematode disease.

Tingting Lu, Xuanquan Zhu, Meng Jia, Enxing Li, Jie Li, Zhengling Liu, Duo Wang, Qionghua Chen, Runling Wang, Peng Zhou and 5 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Tingting Lu *Yunnan Agricultural University, Kunming, Yunnan, China.
Xuanquan Zhu *Yunnan Agricultural University, Kunming, Yunnan, China.
Meng Jia *Yunnan Agricultural University, Kunming, Yunnan, China.
Enxing LiYunnan Tobacco Company Yuxi City Company, Yuxi, Yunnan, China.
Jie LiYunnan Tobacco Company Kunming City Company, Kunming, Yunnan, China.
Zhengling LiuYunnan Tobacco Company Kunming City Company, Kunming, Yunnan, China.
Duo WangYunnan Tobacco Company Kunming City Company, Kunming, Yunnan, China.
Qionghua ChenYunnan Tobacco Company Kunming City Company, Kunming, Yunnan, China.
Runling WangYunnan Tobacco Quality Supervision and Testing Station, Kunming, Yunnan, China.
Peng ZhouYunnan Agricultural University, Kunming, Yunnan, China.
Yu DuYunnan Agricultural University, Kunming, Yunnan, China.
Qi LiYunnan Agricultural University, Kunming, Yunnan, China.
Na WangYunnan Agricultural University, Kunming, Yunnan, China.
Ge WangYunnan Agricultural University, Kunming, Yunnan, China.
Yuxiang BaiYunnan Agricultural University, Kunming, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Root-knot nematode disease poses a serious threat to the production of tobacco and other crops, but the rhizosphere microecological response mechanisms during disease development remain unclear. In this study, we collected rhizosphere soil from healthy and diseased tobacco plants in typical tobacco-growing areas of Kunming, Yunnan Province, China, and we systematically identified the differences in soil physicochemical properties, enzyme activities, and the microbial community composition and structure based on 16S rDNA and ITS amplicon sequencing. Compared to healthy rhizosphere soil, diseased rhizosphere soil showed significant decreases in pH (from 5.39 ± 0.37 to 4.98 ± 0.23), catalase (CAT) activity (23.89% reduction), and the relative abundance of health-associated microbial taxa, particularly bacterial species

Indexed as

microbial communityroot-knot nematodesoil chemistry and physicssoil enzyme activitytobacco

Identifiers

PMID42540459
PMCPMC13426051

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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.