Source-Specific Nitrogen Inputs Are Associated with Pathway Partitioning Between Denitrification and DNRA in River Water

Understanding how external nitrogen sources regulate nitrogen fate in river water is critical for improving nitrogen removal and reducing greenhouse-gas risk. Here, short-term microcosm incubations were conducted using source water as the background matrix and seven representative source inputs. By integrating hydrochemical analyses, bacterial community profiling, metagenomics, RT-qPCR, and process-rate measurements, we evaluated source-dependent shifts in nitrogen-cycling pathways. Manure-related inputs generated the highest organic and nitrogen loading, suppressed nitrification, enhanced nrfA (cytochrome c nitrite reductase) abundance and transcription, and promoted DNRA, indicating a shift toward nitrogen retention via ammonium regeneration. In contrast, sewage-related inputs maintained relatively high NO3− availability, elevated nirS (cytochrome cd1 nitrite reductase) and nosZ (nitrous oxide reductase) expression, and enhanced denitrification, but also increased N2O production. Metagenomic, transcriptional, and rate-based evidence consistently identified 12 h as a critical window for source-dependent pathway redistribution, highlighting the importance of short-term monitoring for detecting rapid nitrogen-cycle responses following pollution inputs. These findings support source-oriented nitrogen management that considers both nitrogen loading and hydrochemical controls on nitrate fate.

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Publication Details

Journal
Biology
Published
2026-05-08
DOI
https://doi.org/10.3390/biology15100741
Primary Topic
Wastewater Treatment and Nitrogen Removal
Type
article
Field-Weighted Citation Impact
0.00
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article

Source-Specific Nitrogen Inputs Are Associated with Pathway Partitioning Between Denitrification and DNRA in River Water

J S Li, Weijun Jiang, Qianhang Sun, Chunhe Zhou et al.
Biology
Wastewater Treatment and Nitrogen Removal
article

Source-Specific Nitrogen Inputs Are Associated with Pathway Partitioning Between Denitrification and DNRA in River Water

J S Li, Weijun Jiang, Qianhang Sun, Chunhe Zhou, Kun Lei, Guohui Xu
article en

Abstract

Understanding how external nitrogen sources regulate nitrogen fate in river water is critical for improving nitrogen removal and reducing greenhouse-gas risk. Here, short-term microcosm incubations were conducted using source water as the background matrix and seven representative source inputs. By integrating hydrochemical analyses, bacterial community profiling, metagenomics, RT-qPCR, and process-rate measurements, we evaluated source-dependent shifts in nitrogen-cycling pathways. Manure-related inputs generated the highest organic and nitrogen loading, suppressed nitrification, enhanced nrfA (cytochrome c nitrite reductase) abundance and transcription, and promoted DNRA, indicating a shift toward nitrogen retention via ammonium regeneration. In contrast, sewage-related inputs maintained relatively high NO3− availability, elevated nirS (cytochrome cd1 nitrite reductase) and nosZ (nitrous oxide reductase) expression, and enhanced denitrification, but also increased N2O production. Metagenomic, transcriptional, and rate-based evidence consistently identified 12 h as a critical window for source-dependent pathway redistribution, highlighting the importance of short-term monitoring for detecting rapid nitrogen-cycle responses following pollution inputs. These findings support source-oriented nitrogen management that considers both nitrogen loading and hydrochemical controls on nitrate fate.

BiologyVol. 15(10)
Ministry of Ecology and Environment (CN), Lishui University (CN), Lishui Central Hospital (CN), Lishui Academy of Agricultural Sciences (CN), Ocean University of China (CN)
Clean water and sanitation
Openalex Percentile: Top 11%
Wastewater Treatment and Nitrogen Removal
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Source-Specific Nitrogen Inputs Are Associated with Pathway Partitioning Between Denitrification and DNRA in River Water — J S Li, Weijun Jiang, et al. · Biology (2026) | TGRS Research Map | TGRS