Evidence map›Paper›PMID 42358251›Full record

ArticleFrontiers in microbiology2026

Response of soil fungal communities to long-term soil mercury pollution.

Jianxiong Du, Jianfeng Li, Shuqing Zhang, Yuxiang Ren

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

4 authors.

Jianxiong DuSchool of Management Science and Engineering, Guizhou University of Finance and Economics, Guiyang, China.
Jianfeng LiKey Laboratory of Biological Resources Exploitation and Utilization in Universities of Guizhou, Guizhou Education University, Guiyang, China.
Shuqing ZhangKey Laboratory of Biological Resources Exploitation and Utilization in Universities of Guizhou, Guizhou Education University, Guiyang, China.
Yuxiang RenSchool of Foreign Languages, Guizhou Normal University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mercury naturally occurs in soil and can accumulate in high concentrations because of various human activities. In order to further explore the effect of long-term mercury contamination of soil near a mercury mining area (Tongren, Guizhou Province, China) on soil fungal communities. Soil samples (mercury content: SMO20 > SMO2 > SMO650 > SMO30 > SMO500) were collected from five locations at distances of 2 m, 20 m, 30 m, 500 m, and 650 m, respectively, from the only sewage outlet of a mercury mining area (Guizhou, China). The soil microbial DNA was extracted from each soil sample and sequenced via high-throughput sequencing technology. The sequencing results indicated that, at both the phylum and class levels, the soil fungal community diversity of SMO2 and SMO30 was greater than that of SMO20, SMO500, and SMO650. The soil fungal community structure analysis revealed common and unique dominant fungal communities within the soil sample groups at both the phylum and class levels. Redundancy analysis (RDA) of relationships between soil fungal community structure and soil environmental factors (pH, EC, available N, P, K, and mercury content) revealed that mercury was the most influential factor. The survival of high-abundance fungal community taxa is strong evidence of the fungal community's high adaptability to long-term soil mercury contamination. The results of this study provide a scientific basis for further studies on the mechanism of mercury tolerance in soil fungi under long-term mercury stress.

Indexed as

classfungimercuryphylumrelative abundance

Identifiers

PMID42358251
PMCPMC13290816

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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.