Evidence map›Paper›PMID 42075161›Full record

ArticleMicroorganisms2026

Shifts in Rhizosphere and Bulk Soil Microbial Communities During the Second and Third Years of Ginseng Cultivation.

Deqiang Yang, Zhipeng Xu, Ruitong Du, Yunwei Liu, Xiangquan Li, Zhibin Wang

Abstract read
In one paragraph

Article in Microorganisms, 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

6 authors.

Deqiang YangKey Laboratory of Basic and Application Research of Beiyao, Ministry of Education, Heilongjiang University of Chinese Medicine, Harbin 150040, China.
Zhipeng XuKey Laboratory of Basic and Application Research of Beiyao, Ministry of Education, Heilongjiang University of Chinese Medicine, Harbin 150040, China.
Ruitong DuKey Laboratory of Basic and Application Research of Beiyao, Ministry of Education, Heilongjiang University of Chinese Medicine, Harbin 150040, China.
Yunwei LiuYichun Branch of Heilongjiang Academy of Forestry Sciences, Yichun 153000, China.
Xiangquan LiYichun Branch of Heilongjiang Academy of Forestry Sciences, Yichun 153000, China.
Zhibin WangKey Laboratory of Basic and Application Research of Beiyao, Ministry of Education, Heilongjiang University of Chinese Medicine, Harbin 150040, China.

Funding

Chinese medicine research topic of Heilongjiang Provincial Administration of Chinese Medicine ZHY2024-049Heilongjiang Natural Science Foundation project LH2022H086Heilongjiang Province key research and development plan GA22B012Heilongjiang provincial research institute research business expenses CZKYF2023-1-C028Heilongjiang Touyan Innovation Team Program [2019] No.5
6 · The paper itself

Abstract

Soil microbial communities regulate plant growth and nutrient cycling, yet their dynamics during early ginseng cultivation remain poorly understood. This study used Illumina MiSeq sequencing to characterize bacterial and fungal communities in rhizosphere and bulk soils from second- and third-year ginseng fields. Differences across growth periods were analyzed using one-way ANOVA. Significant shifts in α- and β-diversity occurred in both soil rhizosphere and bulk soils, and distinct environmental factors shaped community structure. Correlation heatmaps, redundancy analysis (RDA), and Mantel tests identified associations between soil physicochemical properties and microbial taxa. Notably, soil location had a stronger effect on microbial variation than cultivation duration. Dominant bacterial genera were strongly correlated with NH

Indexed as

original soilrhizosphere soilsoil bacteriasoil fungi

Identifiers

PMID42075161
PMCPMC13119511

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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.