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Article

Temporal and Spatial Distribution Characteristics and Source Analysis of Antibiotic Resistance Gene Pollution in Dongliao River Basin, China

Key Laboratory of Songliao Aquatic Environment, Ministry of Education, Jilin Jianzhu University, Changchun 130118, China
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Author to whom correspondence should be addressed.
Water 2025, 17(21), 3168; https://doi.org/10.3390/w17213168
Submission received: 29 September 2025 / Revised: 29 October 2025 / Accepted: 3 November 2025 / Published: 5 November 2025
(This article belongs to the Section Water Quality and Contamination)

Abstract

Antibiotic resistance genes (ARGs) are regarded as a major threat to public health and ecological security globally. The Dongliao River Basin is a typical farming–pastoral ecotone in the northeast of China. It is of great practical significance to explore the pollution characteristics and sources of ARGs in the Dongliao River. In this study, the Dongliao River Basin was taken as the research object, and water samples were collected at five points in the wet season, the normal season and the dry season, and the qPCR technology was used to detect the ARGs, revealing its spatial and temporal distribution characteristics. The results show that the temporal difference in ARGs was mainly in the wet season, and the contribution rates of sulfonamides (SAs) and aminoglycosides (AMs)ARGs were the largest, with relative abundance reaching 13–27% and 7–37%. In the normal season, the contribution rate of AMs ARGs further increased to 26–37%, while the contribution rate of SAs and tetracyclines (TCs) ARGs also showed a high level, accounting for 12–20% and 11–16%. In dry season, the ARGs of AMs and TCs reached 29–43% and 16–22%. As far as the spatial distribution characteristics were concerned, the absolute abundance of ARGs reached the maximum value of 3.79 × 106 copies/mL in the sampling section of Chengzishang during the wet season. In the normal season, the absolute abundance of ARGs was the largest at the sampling section of Heqing River, which was 2.62 × 106 copies/mL; While in the dry season, the absolute abundance of ARGs reached the maximum at the sampling section of Sishuang Bridge, which was 5.30 × 106 copies/mL. Furthermore, using principal component analysis–multiple linear regression (PCA–MLR) model, sul1, sul2, aadA2–03, aadA–01 genes with high absolute abundance was selected for source analysis, so as to reveal the source of ARGs pollution in Dongliao River. The results indicated that sulfonamide resistance genes (sul1, sul2) were primarily driven by nutrient salt contamination; aminoglycoside resistance genes (aadA2–03, aadA–01) exhibit sensitivity to temperature gradients, with significant proliferation during high–temperature seasons. This study provided a scientific basis for the prevention and control strategy of ARGs pollution in the Dongliao River Basin.
Keywords: the Dongliao River; antibiotic resistance gene; temporal and spatial distribution; source analysis the Dongliao River; antibiotic resistance gene; temporal and spatial distribution; source analysis

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MDPI and ACS Style

Lu, H.; Zheng, Y.; Wang, L.; Cong, Q. Temporal and Spatial Distribution Characteristics and Source Analysis of Antibiotic Resistance Gene Pollution in Dongliao River Basin, China. Water 2025, 17, 3168. https://doi.org/10.3390/w17213168

AMA Style

Lu H, Zheng Y, Wang L, Cong Q. Temporal and Spatial Distribution Characteristics and Source Analysis of Antibiotic Resistance Gene Pollution in Dongliao River Basin, China. Water. 2025; 17(21):3168. https://doi.org/10.3390/w17213168

Chicago/Turabian Style

Lu, Hai, Yang Zheng, Lijun Wang, and Qiao Cong. 2025. "Temporal and Spatial Distribution Characteristics and Source Analysis of Antibiotic Resistance Gene Pollution in Dongliao River Basin, China" Water 17, no. 21: 3168. https://doi.org/10.3390/w17213168

APA Style

Lu, H., Zheng, Y., Wang, L., & Cong, Q. (2025). Temporal and Spatial Distribution Characteristics and Source Analysis of Antibiotic Resistance Gene Pollution in Dongliao River Basin, China. Water, 17(21), 3168. https://doi.org/10.3390/w17213168

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