Evidence map›Paper›PMID 40241732›Full record

ArticleFrontiers in microbiology2025

Response of dissolved organic matter and bacterial community to anthropogenic disturbances in a plateau lake.

Yue Meng, Xin Jiang, Yue Li, Chun Qing, Xingyu Long, Pinhua Xia

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.

0numbers the graph read from it
0cells of the map it votes in
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

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

6 authors.

Yue MengGuizhou Province Key Laboratory for Information System of Mountainous Areas and Protection of Ecological Environment, Guizhou Normal University, Guiyang, China.
Xin JiangGuizhou Province Key Laboratory for Information System of Mountainous Areas and Protection of Ecological Environment, Guizhou Normal University, Guiyang, China.
Yue LiGuizhou Caohai National Nature Reserve Management Committee, Bijie, Guizhou, China.
Chun QingGuizhou Province Key Laboratory for Information System of Mountainous Areas and Protection of Ecological Environment, Guizhou Normal University, Guiyang, China.
Xingyu LongSchool of Chemistry and Materials Science, Guizhou Normal University, Guiyang, China.
Pinhua XiaGuizhou Province Key Laboratory for Information System of Mountainous Areas and Protection of Ecological Environment, Guizhou Normal University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dissolved organic matter (DOM) and bacterial communities play essential roles in lake ecosystem biogeochemical cycles. However, the effects of anthropogenic disturbances on their interactions are not fully understood. Methods: This study used UV-vis techniques, excitation-emission matrix parallel factor analysis, and 16S rRNA sequencing to reveal the differences in the structures of fluorescent DOM (FDOM) and bacterial communities in lake sediments and water under different levels of anthropogenic disturbances. Methods such as Spearman correlation analysis, null model, neutral community model and random forest analysis were explored how FDOM composition and bacterial communities respond to anthropogenic disturbances in the sediments and water of the Caohai Lake. Results: The results indicated that sediment FDOM was sensitive to anthropogenic disturbances, with protein-like substances dominating heavily disturbed areas (69%) and humic-like substances dominating less disturbed areas (63%). However, no significant difference in FDOM composition was found in the water. Similarly, α and β diversity indices for bacterial communities showed no marked variation ( Discussion: Overall, these findings illustrate that anthropogenic disturbance affects FDOM composition and its relationship with bacteria, providing valuable insights for managing shallow lake ecosystems.

Indexed as

anthropogenic disturbancesassembly processdissolved organic matterlakemicrobiome

Identifiers

PMID40241732
PMCPMC12000888

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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.