Evidence map›Paper›PMID 41459212›Full record

ArticleFrontiers in microbiology2025

Trophic levels of decomposers in the treatment of herbicide wastewater: a mediator of positive interactions among microbial community assembly, function and stability.

Fei Xu, Wenjie Wu, Jun Teng, Xinyi Wei, Jinhui Wang, Zheng Zhao, Mengyu Liu, Hao Wang, Qiang Kong

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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No citing paper in PubMed yet.

4 · The record

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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

9 authors.

Fei Xu *College of Geography and Environment, Shandong Normal University, Jinan, Shandong, China.
Wenjie Wu *College of Geography and Environment, Shandong Normal University, Jinan, Shandong, China.
Jun TengCollege of Geography and Environment, Shandong Normal University, Jinan, Shandong, China.
Xinyi WeiCollege of Geography and Environment, Shandong Normal University, Jinan, Shandong, China.
Jinhui WangCollege of Geography and Environment, Shandong Normal University, Jinan, Shandong, China.
Zheng ZhaoKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, Jiangsu, China.
Mengyu LiuCollege of Geography and Environment, Shandong Normal University, Jinan, Shandong, China.
Hao WangCollege of Geography and Environment, Shandong Normal University, Jinan, Shandong, China.
Qiang KongCollege of Geography and Environment, Shandong Normal University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current wastewater treatment methods tend to acclimate to sludge, but they may not be able to address the presence of herbicides with complex components in agricultural runoff. In this study, we constructed decomposer trophic levels by setting single-channel and multichannel sequencing processes for different herbicide-containing wastewater treatments. Each treatment unit was divided into bacteria-only, wetland plant-only, and wetland plant-microbe continuum treatments. We designed three experiments to investigate the effects of herbicide type, trophic level and biological interaction on system stability, which was predominantly controlled by microbial community assembly processes and functions. The results revealed a threshold for the transition from stochastic to deterministic processes as the concentrations of the herbicides glyphosate (PMG) and atrazine (ATZ) increased. Compared with the effluent water quality of the single herbicide treatment, the decomposer trophic level significantly increased the stochastic effect of the system on effluent water quality. The similarity differences caused by the drift from the parallel units in the primary levels (ca. D

Indexed as

function and stabilityherbicide wastewatermicrobial community assemblymicrobial diversitytrophic levels of decomposers

Identifiers

PMID41459212
PMCPMC12740056

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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.