Soil moisture-dependent tire wear particles aging processes shift soil microbial communities and elevated nitrous oxide emission on drylands

Tire wear particles (TWPs) have been an emerging threat to the soil ecosystem, while impact of the TWPs aging on soil microbial communities remains poorly understood. This study investigated the dynamic responses of soil microbial communities to the TWPs aging under both wet and flooded conditions. We found that different soil moisture conditions resulted in distinct microbial community structures. Soil bacteria were more sensitive to wet conditions, while soil fungi were more sensitive to flooded conditions. The family Symbiobacteraceae was predominant in the TWP-sphere under both wet and flooded conditions after 60 days, followed by Brevibacillaceae. Notably, we observed that TWPs input significantly increased nitrous oxide (N<sub>2</sub>O) emission from dryland soil. Several taxa including Cyanobacteriales, Blastocatellaceae and Pyrinomonadaceae were identified as TWP-biomarkers in soils and potentially played significant roles in N<sub>2</sub>O emissions from drylands. Their responses to the TWPs input correlated closely with changes in the relative abundance of genes involved in ammonia oxidation (amoA/B), nitrite reduction (nirS/K) and N<sub>2</sub>O reduction (nosZ) in drylands. Our results demonstrate that soil moisture-dependent TWP aging influences N<sub>2</sub>O emission by altering both the associated microbial communities and the relevant genes.

Authors

Institutions

Publication Details

Journal
The Science of The Total Environment
Published
2024-09-01
DOI
https://doi.org/10.1016/j.scitotenv.2024.175948
Citations
11
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
1.46

Funders

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

Soil moisture-dependent tire wear particles aging processes shift soil microbial communities and elevated nitrous oxide emission on drylands

Gang Li, Zhihong H. Xu, Zhiyong Wu, Qiao Xu
11 citations
The Science of The Total Environment
Microplastics and Plastic Pollution
1.46
article

Soil moisture-dependent tire wear particles aging processes shift soil microbial communities and elevated nitrous oxide emission on drylands

Gang Li, Zhihong H. Xu, Zhiyong Wu, Qiao Xu
article en
11 citations

Abstract

Tire wear particles (TWPs) have been an emerging threat to the soil ecosystem, while impact of the TWPs aging on soil microbial communities remains poorly understood. This study investigated the dynamic responses of soil microbial communities to the TWPs aging under both wet and flooded conditions. We found that different soil moisture conditions resulted in distinct microbial community structures. Soil bacteria were more sensitive to wet conditions, while soil fungi were more sensitive to flooded conditions. The family Symbiobacteraceae was predominant in the TWP-sphere under both wet and flooded conditions after 60 days, followed by Brevibacillaceae. Notably, we observed that TWPs input significantly increased nitrous oxide (N<sub>2</sub>O) emission from dryland soil. Several taxa including Cyanobacteriales, Blastocatellaceae and Pyrinomonadaceae were identified as TWP-biomarkers in soils and potentially played significant roles in N<sub>2</sub>O emissions from drylands. Their responses to the TWPs input correlated closely with changes in the relative abundance of genes involved in ammonia oxidation (amoA/B), nitrite reduction (nirS/K) and N<sub>2</sub>O reduction (nosZ) in drylands. Our results demonstrate that soil moisture-dependent TWP aging influences N<sub>2</sub>O emission by altering both the associated microbial communities and the relevant genes.

The Science of The Total EnvironmentVol. 952
Griffith University (AU), Chinese Academy of Sciences (CN), Institute of Urban Environment (CN), Zhejiang University of Technology (CN)
Chinese Academy of Sciences, Natural Science Foundation of Fujian Province
Zero hunger
Openalex Percentile: Top 20%
Microplastics and Plastic Pollution
1.46
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.