Contrasting the Microbial Communities in Rhizosphere and Bulk Soils Across Different

Panfeng Liu, Huaxiang Wang, Furong Lin, Hongyan Du, Liwei Xing, Kunhao Xie, Qingxin Du

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

7 authors.

Panfeng LiuState Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Forest-Derived Medicinal Resources, National Forestry and Grassland Administration, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China.ORCID 0000-0002-7911-9754

Huaxiang WangState Key Laboratory of Efficient Production of Forest Resources, Research Institute of Fast-Growing Trees, Chinese Academy of Forestry, Zhanjiang 524022, China.

Furong LinResearch Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China.ORCID 0009-0002-9441-9568

Hongyan DuState Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Forest-Derived Medicinal Resources, National Forestry and Grassland Administration, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China.

Liwei XingState Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Forest-Derived Medicinal Resources, National Forestry and Grassland Administration, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China.

Kunhao XieState Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Forest-Derived Medicinal Resources, National Forestry and Grassland Administration, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China.

Qingxin DuState Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Forest-Derived Medicinal Resources, National Forestry and Grassland Administration, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China.

Funding

the Shandong Provincial Technology Innovation Guidance Program YDZX2024044

6 · The paper itself

Abstract

Soil multifunctionality (SMF) is a core indicator of plantation soil ecological function, and microbial diversity plays a vital role in sustaining it. However, cross-site rhizosphere and bulk SMF disparities and their microbial driving mechanisms remain unclear in

Indexed as

Eucommia ulmoidesinteraction co-occurrence networkmicrobial communitysoil multifunctionality

Identifiers

PMID42655197

DOI10.3390/microorganisms14081853

PMCPMC13515387

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

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.