Pesticide Residues Reduce Bacterial Diversity but Enhance Stability via Network Motif Restructuring

Agricultural intensification in greenhouse systems leads to a substantial accumulation of pesticides, yet its role in reshaping soil microbial interactions and their network stability remains poorly understood. This study reveals a critical ecological paradox: contrary to classical theory, greenhouse soils under chronic pesticide contamination exhibit significantly enhanced network stability (quantified as the robustness of network global efficiency under targeted node removal simulations) despite a concurrent sharp decline in bacterial diversity. We investigated this counter-intuitive phenomenon by integrating 16S rRNA sequencing, motif-based network analysis, and resilience modeling. Our findings suggest that this enhanced stability is not explained by species richness but, rather, coincides with a fundamental restructuring of the network's local interaction architecture. Pesticide residues, acting as a strong deterministic selection pressure, shaped the microbial community into a "low-aggregation, high-redundancy" network topology. This was characterized by a decrease in highly clustered, "brittle" interaction motifs (e.g., M3-2) and an increase in sparse triangular anti-motifs (e.g., M3-1). This new architecture mitigates the risk of cascading failures, thereby elevating the network's collapse threshold. Triazole fungicides (e.g., Tricyclazole and Hexaconazole) were significantly associated with this structural shift. Our study establishes a novel mechanistic link from pesticide stress to motif-level restructuring and enhanced system stability, offering new insights for assessing the health of highly stressed agricultural ecosystems.

Authors

Institutions

Publication Details

Journal
Toxics
Published
2025-12-04
DOI
https://doi.org/10.3390/toxics13121052
Citations
2
Primary Topic
Pesticide and Herbicide Environmental Studies
Type
article
Field-Weighted Citation Impact
1.01

Funders

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

Pesticide Residues Reduce Bacterial Diversity but Enhance Stability via Network Motif Restructuring

Xingyan Xue, Fu‐Liu Xu, Shengxing Long, C L Wang et al.
2 citations
Toxics
Pesticide and Herbicide Environmental Studies
1.01
article

Pesticide Residues Reduce Bacterial Diversity but Enhance Stability via Network Motif Restructuring

Xingyan Xue, Fu‐Liu Xu, Shengxing Long, C L Wang, Ruilin Wu, Cunlu Li
article en
2 citations

Abstract

Agricultural intensification in greenhouse systems leads to a substantial accumulation of pesticides, yet its role in reshaping soil microbial interactions and their network stability remains poorly understood. This study reveals a critical ecological paradox: contrary to classical theory, greenhouse soils under chronic pesticide contamination exhibit significantly enhanced network stability (quantified as the robustness of network global efficiency under targeted node removal simulations) despite a concurrent sharp decline in bacterial diversity. We investigated this counter-intuitive phenomenon by integrating 16S rRNA sequencing, motif-based network analysis, and resilience modeling. Our findings suggest that this enhanced stability is not explained by species richness but, rather, coincides with a fundamental restructuring of the network's local interaction architecture. Pesticide residues, acting as a strong deterministic selection pressure, shaped the microbial community into a "low-aggregation, high-redundancy" network topology. This was characterized by a decrease in highly clustered, "brittle" interaction motifs (e.g., M3-2) and an increase in sparse triangular anti-motifs (e.g., M3-1). This new architecture mitigates the risk of cascading failures, thereby elevating the network's collapse threshold. Triazole fungicides (e.g., Tricyclazole and Hexaconazole) were significantly associated with this structural shift. Our study establishes a novel mechanistic link from pesticide stress to motif-level restructuring and enhanced system stability, offering new insights for assessing the health of highly stressed agricultural ecosystems.

ToxicsVol. 13(12)
University of Science and Technology of China (CN), Peking University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 22%
Pesticide and Herbicide Environmental Studies
1.01
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.