Evidence map›Paper›PMID 42814035›Full record

ArticleMicrobiologyOpen2026

Heavy Metal Characteristics and Their Association With Microbial Communities of Wetland Soils of Shengjin and Caizi Lakes, China.

Huiwu Geng, Gang Liu

Abstract read
In one paragraph

Article in MicrobiologyOpen, 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

2 authors.

Huiwu GengCollege of Life Sciences, Anhui Medical University, Hefei, China.
Gang LiuCollege of Life Sciences, Anhui Medical University, Hefei, China.ORCID https://orcid.org/0000-0002-0903-8713

Funding

Natural Science Foundation for the Higher Education Institutions of Anhui Province of China KJ2021A0246
6 · The paper itself

Abstract

Wetland soils are among the ecosystems most vulnerable to anthropogenic disturbances, and they play critical roles in biogeochemical cycling and energy exchange. In this study, we investigated the characteristics of heavy metal distribution and microbial community structures in soil samples from Shengjin Lake and Caizi Lake in China. Analysis of soil physicochemical properties revealed a significant difference in soil pH between the two lakes, whereas no significant differences were detected in organic matter content or cation exchange capacity. Soils from Caizi Lake exhibited significantly higher concentrations of Pb, As, and Hg than those from Shengjin Lake, whereas Cd and Cr concentrations did not differ significantly between the two lakes. Soil microbial analysis demonstrated that Proteobacteria, Actinobacteriota, and Chloroflexi were the dominant phyla across all samples. Alpha diversity and principal coordinate analysis revealed significant differences in soil microbial communities between Shengjin and Caizi Lakes. LEfSe analysis indicated that Pedobacter, Nocardioides, and Flavobacterium were significantly enriched in the soils from Shengjin Lake, whereas Arthrobacter was significantly more abundant in the soils from Caizi Lake. To further explore the relationships between heavy metals and microbial communities, we analyzed the correlation heatmaps of the associations among heavy metals, microbial taxa, and KEGG functional pathways in samples from both lakes. Collectively, this study enhances the current understanding of heavy metal distribution and microbial community characteristics in wetland soils and provides a scientific basis for early environmental pollution warnings in the wetland ecosystems of Shengjin and Caizi Lakes.

Indexed as

BacteriaLakesMetals, HeavyMicrobiotaSoilSoil MicrobiologySoil PollutantsWetlandsChinaRNA, Ribosomal, 16SMetals, HeavyRNA, Ribosomal, 16SSoilSoil PollutantsCaizi Lakediversityheavy metalsmicrobial communityShengjin Lakesoil

Identifiers

PMID42814035
PMCPMC13625968

What OpenQuestion holds

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Registered trials

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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.