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Volume 44 Issue 5
May  2026
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Article Contents
XIA Liang, MAO Xufeng, WEI Xiaoyan, YU Hongyan, ZHANG Lele, DU Kai, YANG Yongxiao, WU Yi. Community characteristics of nosZ-type denitrifiers and their influencing factors in reservoir sediments of the northeastern Qinghai-Tibet Plateau[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(5): 71-82. doi: 10.13205/j.hjgc.202605007
Citation: XIA Liang, MAO Xufeng, WEI Xiaoyan, YU Hongyan, ZHANG Lele, DU Kai, YANG Yongxiao, WU Yi. Community characteristics of nosZ-type denitrifiers and their influencing factors in reservoir sediments of the northeastern Qinghai-Tibet Plateau[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(5): 71-82. doi: 10.13205/j.hjgc.202605007

Community characteristics of nosZ-type denitrifiers and their influencing factors in reservoir sediments of the northeastern Qinghai-Tibet Plateau

doi: 10.13205/j.hjgc.202605007
  • Received Date: 2026-01-09
    Available Online: 2026-06-06
  • Reservoirs are increasingly recognized as dynamic inland-water components that can function as both sources and sinks of nitrous oxide (N2O), a potent greenhouse gas and ozone-depleting substance. In sedimentary environments, complete denitrification provides the only known biological pathway for reducing N2O to inert dinitrogen (N2), and the functional gene nosZ, which encodes nitrous oxide reductase, is widely used as a molecular marker to assess the N2O-reduction potential of microbial communities. However, the community characteristics, spatiotemporal variability, and environmental control of nosZ-type denitrifiers in high-altitude reservoir sediments remain insufficiently understood. This study investigated nosZ-type denitrifying bacterial communities and nosZ gene abundance in surface sediments (0 to 15 cm) collected from 18 reservoirs located in the mainstem Yellow River Basin (10 reservoirs) and its tributary basin, the Huangshui River Basin (8 reservoirs), in the northeastern Qinghai-Tibet Plateau. Sampling was conducted during the dry season (May 2023) and wet season (August 2023), and paired sediment and surface-water physicochemical parameters were measured concurrently. High-throughput sequencing targeting the nosZ gene was employed to profile community composition and diversity, while quantitative PCR (qPCR) was used to quantify absolute nosZ gene copy numbers (copies/g dry sediment) as a proxy for functional potential. Multivariate analysis, including redundancy analysis (RDA) and hierarchical partitioning, were applied to identify key environmental drivers shaping community structure. The results showed that:1) nosZ-type denitrifying bacteria in reservoir sediments of the northeastern Qinghai-Tibet Plateau were dominated by Proteobacteria (78.91%). LEfSe analysis indicated that Paracoccus and Halomonas were biomarkers for the mainstem of the Yellow River Basin, while no biomarkers were detected in the Huangshui River Basin at the genus level. 2) The diversity of nosZ-type denitrifying bacteria in the Huangshui River Basin was higher than that in the mainstem of the Yellow River Basin (P<0.05), with no significant difference over time (P>0.05). The abundance of the nosZ gene was spatially higher in the Huangshui River Basin (165.24×105 copies/g) than in the mainstem of the Yellow River Basin (34.43×105 copies/g). Temporally, it was also higher in the wet season (128.55×105 copies/g) compared to the dry season (61.27×105 copies/g) (P<0.05). 3) Sediment temperature (17.14%), pH (16.89%), total phosphorus (13.83%), and total nitrogen (11.23%) in water significantly influenced the community structure of nosZ-type denitrifying bacteria in the reservoir sediments of the northeastern Qinghai-Tibet Plateau (P<0.05). Collectively, these results demonstrated that nosZ-type denitrifiers in reservoir sediments of the northeastern Qinghai-Tibet Plateau exhibit clear basin-dependent patterns and significant seasonal shifts in functional gene abundance, and that thermal regime, pH, and nutrient status are critical determinants of community assembly. This study provides an integrated microbial and environmental baseline for plateau reservoirs, improves mechanistic understanding of sedimentary N2O sinks, and offers scientific support for reservoir N2O mitigation strategies that consider watershed nutrient management and sediment physicochemical conditions.
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