In-Depth Analysis of Soil Microbial Community Succession Model Construction under Microplastics Stress

Although microplastics (MPs) toxicity to soil microorganisms has been preliminarily explored, the underlying reasons affecting the direction of microbial community succession are unclear. This study aimed to investigate the impacts of MPs infer community assembly mechanisms through phylogenetic bin-based null model analysis, network models, and protein function prediction in five typical Northeast China five typical soils. The results show that microbial communities in soils with high organic matter exhibit a stronger response to MPs, with enhanced protein functionality, network regulation, and assembly processes. The presence of MPs increased the drift process in the soil microbial community assembly by 2%, a deterministic process influenced by MPs, and enhanced the complexity and stability of the community assembly. Overall, MPs altered microbial protein function and regulatory networks by affecting diversity and community assembly processes, leading to shifts in microbial community succession. This study provided a theoretical basis for further study of the ecotoxicological effects of MPs in soil.

Authors

Institutions

Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2025-01-29
DOI
https://doi.org/10.1021/acs.jafc.4c09059
Citations
10
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
5.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In-Depth Analysis of Soil Microbial Community Succession Model Construction under Microplastics Stress

Guankai Qiu, Zhongmin Han, Quanying Wang, Tianye Wang et al.
10 citations
Journal of Agricultural and Food Chemistry
Microplastics and Plastic Pollution
5.04
article

In-Depth Analysis of Soil Microbial Community Succession Model Construction under Microplastics Stress

Guankai Qiu, Zhongmin Han, Quanying Wang, Tianye Wang, Guopeng Zhu, Shaoqing Zhang, Zhenghao Sun, Hongwen Yu, Ming Wu, Boyu Deng, Xiutao Yang, Zhongxu Duan
article en
10 citations

Abstract

Although microplastics (MPs) toxicity to soil microorganisms has been preliminarily explored, the underlying reasons affecting the direction of microbial community succession are unclear. This study aimed to investigate the impacts of MPs infer community assembly mechanisms through phylogenetic bin-based null model analysis, network models, and protein function prediction in five typical Northeast China five typical soils. The results show that microbial communities in soils with high organic matter exhibit a stronger response to MPs, with enhanced protein functionality, network regulation, and assembly processes. The presence of MPs increased the drift process in the soil microbial community assembly by 2%, a deterministic process influenced by MPs, and enhanced the complexity and stability of the community assembly. Overall, MPs altered microbial protein function and regulatory networks by affecting diversity and community assembly processes, leading to shifts in microbial community succession. This study provided a theoretical basis for further study of the ecotoxicological effects of MPs in soil.

Journal of Agricultural and Food ChemistryVol. 73(6)
Chinese Academy of Sciences (CN), Northeast Institute of Geography and Agroecology (CN), University of Chinese Academy of Sciences (CN), Heilongjiang University (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, Jilin Scientific and Technological Development Program
Life in Land
Openalex Percentile: Top 4%
Microplastics and Plastic Pollution
5.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.