Evidence map›Paper›PMID 40542906›Full record

ArticleAntonie van Leeuwenhoek2025

Biological interactions and soil properties shape bacterial and fungal communities during restoration of Pinus thunbergii shelter in saline soils.

Zhugui Wen, Xinyu Liu, Wei Zhou, Xinke Liu, Zhaohan Fan, Yuxuan Wang, Boping Tang, Baoming Ge

Abstract read
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In one paragraph

Article in Antonie van Leeuwenhoek, 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
–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

8 authors.

Zhugui WenSchool of Wetlands, Yancheng Teachers University, Yancheng, 224007, China.
Xinyu LiuSchool of Wetlands, Yancheng Teachers University, Yancheng, 224007, China.
Wei ZhouSchool of Wetlands, Yancheng Teachers University, Yancheng, 224007, China.
Xinke LiuSchool of Wetlands, Yancheng Teachers University, Yancheng, 224007, China.
Zhaohan FanSchool of Wetlands, Yancheng Teachers University, Yancheng, 224007, China.
Yuxuan WangSchool of Wetlands, Yancheng Teachers University, Yancheng, 224007, China.
Boping TangSchool of Wetlands, Yancheng Teachers University, Yancheng, 224007, China. boptang@163.com.
Baoming GeSchool of Wetlands, Yancheng Teachers University, Yancheng, 224007, China. gebm@yctu.edu.cn.

Funding

the National Natural Science Foundation of China 31800525, 31971440
6 · The paper itself

Abstract

As a practical management approach to combat global warming, reforestation may affect microbial communities. However, the effects of Pinus thunbergii forest restoration on microbial colonisation and community structures in saline areas are poorly documented. Herein, microbial communities were investigated in two different pine stand age forests, in addition to bare sites, through Illumina MiSeq high-throughput sequencing technology based on bacterial 16S rRNA and fungal ITS rRNA, and predicted using the PICRUSt2 and FUNGuild databases. The restoration of P. thunbergii shelter in saline areas caused significant changes in soil properties and microbial community characteristics. NMDS analysis exhibited significant differences in fungal and bacterial composition, as confirmed by the Adonis test (p = 0.04 and p < 0.01). Microbial communities were significantly affected by soil properties, with fungal and bacterial diversity being positively affected by soil's rapidly available-K (R

Indexed as

BacteriaFungiPinusSoilSoil MicrobiologyBiodiversityForestsMicrobiotaMycorrhizaeRNA, Ribosomal, 16SRNA, Ribosomal, 16SSoilMicrobial communitiesPinus thunbergii shelterReforestationSoil properties

Identifiers

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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.