Evidence map›Paper›PMID 40732146›Full record

ArticleMicroorganisms2025

Comparative Analysis of Soil Microbial Community Structures in Rhizosphere of Two Texture-Differentiated Lotus Root Varieties.

Xinni Li, Qiyue Liang, Meiping Gao, Yangxiu Ou, Yifeng Hu, Wen Jiang, Huiping Jiang, Shangdong Yang

Abstract read
In one paragraph

Article in Microorganisms, 2025. 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
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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

8 authors.

Xinni LiGuangxi Key Laboratory of Agro-Environment and Agro-Products Safety, National Demonstration Center for Experimental Plant Science Education Guangxi Agricultural College, Guangxi University, Nanning 530004, China.
Qiyue LiangGuangxi Key Laboratory of Agro-Environment and Agro-Products Safety, National Demonstration Center for Experimental Plant Science Education Guangxi Agricultural College, Guangxi University, Nanning 530004, China.
Meiping GaoVegetable Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China.
Yangxiu OuVegetable Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China.
Yifeng HuVegetable Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China.
Wen JiangVegetable Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China.
Huiping JiangVegetable Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China.
Shangdong YangGuangxi Key Laboratory of Agro-Environment and Agro-Products Safety, National Demonstration Center for Experimental Plant Science Education Guangxi Agricultural College, Guangxi University, Nanning 530004, China.ORCID 0000-0002-6636-6131

Funding

Guangxi Qingtang lotus root test station TS2022012Guangxi Science and Technology pioneer Project Guinongke alliance 202405
6 · The paper itself

Abstract

To investigate the relationship between the rhizosphere microbial community structure and lotus root texture, the biological properties, and the rhizosphere microbial composition of mealy (ML) and crunchy lotus (CL) varieties were all analyzed using traditional and high-throughput sequencing technologies. The results showed that the ML varieties exhibited significantly lower moisture but higher starch contents than those of CL. Meanwhile, the rhizosphere fungal richness of ML was also significantly higher than that of CL. Moreover, the relative abundances of bacterial phyla and genera, such as Nitrospirota, Bacteroidota, Proteobacteria, and

Indexed as

lotus rootmicrobial compositionspolysaccharidesrhizospheretexture variation

Identifiers

PMID40732146
PMCPMC12299788

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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.