The intrinsic relevance of nitrogen removal pathway to varying nitrate loading rate in a polycaprolactone-supported denitrification system

Zhang, Shiyang; Tang, Zhiwei; Xia, Shibin; Jiang, Yao; Li, Meng; Wang, Bing

doi:10.1007/s10532-022-09981-2

Cited by 5 publications

(5 citation statements)

References 55 publications

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“…The mixotrophic denitrification system was able to provide sufficient electron donors for complete denitrification, and there was almost no accumulation of NO 2 − ‐N (<0.05 mg/L). The presence of Bacteroidetes may promote the hydrolysis of PCL, which is beneficial to DNRA (Zhang, Tang, et al, 2022; Zhang, Zhang, et al, 2021). In the present study, a high abundance of Bacteroidetes was observed in each reactor (Table S3), which might further illustrate the positive correlation between NH 4 + ‐N eff and COD eff .…”

Section: Resultsmentioning

confidence: 99%

“…In phase II, the pH eff was positively correlated with NH 4 + ‐N eff . If the pH eff increased, fewer organic acids would be produced by PCL hydrolysis, and the corresponding COD Cr concentration decreased, which was unfavorable for the occurrence of DNRA (Zhang, Tang, et al, 2022).…”

Section: Resultsmentioning

confidence: 99%

“…Moreover, the residual organic matter could not release carbon sources continuously to meet the subsequent requirements. Polycaprolactone (PCL), as a synthetic bio‐degradable polymer, has an excellent mechanical property, a high carbon source release rate, and a high denitrification efficiency (Zhang, Tang, et al, 2022). Therefore, the combination of PCL‐supported heterotrophic denitrification (PHD) with PAD has the potential to improve the denitrification performance.…”

Section: Introductionmentioning

confidence: 99%

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Effect of pyrite particle size on the denitrification performance of autotrophic or split‐mixotrophic bioreactors supported by pyrite/polycaprolactone

Guo,

Peng,

Tan

et al. 2024

Water Environment Research

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In this study, a pyrite‐based autotrophic denitrification (PAD) system, a polycaprolactone (PCL)‐supported heterotrophic denitrification (PHD) system, and a pyrite+PCL‐based split‐mixotrophic denitrification (PPMD) system were constructed. The pyrite particle size was controlled in 1–3, 3–5, or 5–8 mm in both the PAD and PPMD systems to investigate the effect of pyrite particle size on the denitrification performance of autotrophic or split‐mixotrophic bioreactors. It was found that the PAD system achieved the best denitrification efficiency with an average removal rate of 98.98% in the treatment of 1‐ to 3‐mm particle size, whereas it was only 19.24% in the treatment of 5‐ to 8‐mm particle size. At different phases of the whole experiment, the nitrate removal rates of both the PHD and PPMD systems remained stable at a high level (>94%). Compared with the PAD or PHD system, the PPMD system reduced the concentrations of sulfate and chemical oxygen demand in the final effluent efficiently. The interconnection network diagram explained the intrinsic metabolic pathways of nitrogen, sulfur, and carbon in the three denitrification systems at different phases. In addition, the microbial community analysis showed that the PPMD system was beneficial for the enrichment of Firmicutes. Finally, the impact mechanism of pyrite particle size on the performance of the PPMD system was proposed.Practitioner Points The reduction of pyrite particle size was beneficial for improving the efficiency of the PAD process. The change in particle size had an effect on NO2−‐N accumulation in the PAD system. The accumulation of NH4+‐N in the PPMD system increased with the decrease in particle size. The reduction of pyrite particle size increased the production of SO42− in the PAD and PPMD systems. The correlations among the effluent indicators of the PAD and PPMD systems could be well explained.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effect of pyrite particle size on the denitrification performance of autotrophic or split‐mixotrophic bioreactors supported by pyrite/polycaprolactone

Guo,

Peng,

Tan

et al. 2024

Water Environment Research

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“…PICRUSt2 prediction of function relies on similarities to genome annotations in IMG/M [15]. In addition, studies have used PICRUSt2 to predict nitrogen-cycling pathways of microbial communities in an ecosystem [26][27][28][29]. A limitation of PICRUSt2 is its inability to distinguish strain-level functionality [24,28].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, studies have used PICRUSt2 to predict nitrogen-cycling pathways of microbial communities in an ecosystem [26][27][28][29]. A limitation of PICRUSt2 is its inability to distinguish strain-level functionality [24,28]. In addition, the ecological trait relevance (e.g., denitrification potential) of the list of KEGG orthologues predicted by PICRUSt2 requires interpretation.…”

Section: Introductionmentioning

confidence: 99%

Ecological Trait-Based Digital Categorization of Microbial Genomes for Denitrification Potential

Isokpehi,

Kim,

Krejci

et al. 2024

Microorganisms

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Microorganisms encode proteins that function in the transformations of useful and harmful nitrogenous compounds in the global nitrogen cycle. The major transformations in the nitrogen cycle are nitrogen fixation, nitrification, denitrification, anaerobic ammonium oxidation, and ammonification. The focus of this report is the complex biogeochemical process of denitrification, which, in the complete form, consists of a series of four enzyme-catalyzed reduction reactions that transforms nitrate to nitrogen gas. Denitrification is a microbial strain-level ecological trait (characteristic), and denitrification potential (functional performance) can be inferred from trait rules that rely on the presence or absence of genes for denitrifying enzymes in microbial genomes. Despite the global significance of denitrification and associated large-scale genomic and scholarly data sources, there is lack of datasets and interactive computational tools for investigating microbial genomes according to denitrification trait rules. Therefore, our goal is to categorize archaeal and bacterial genomes by denitrification potential based on denitrification traits defined by rules of enzyme involvement in the denitrification reduction steps. We report the integration of datasets on genome, taxonomic lineage, ecosystem, and denitrifying enzymes to provide data investigations context for the denitrification potential of microbial strains. We constructed an ecosystem and taxonomic annotated denitrification potential dataset of 62,624 microbial genomes (866 archaea and 61,758 bacteria) that encode at least one of the twelve denitrifying enzymes in the four-step canonical denitrification pathway. Our four-digit binary-coding scheme categorized the microbial genomes to one of sixteen denitrification traits including complete denitrification traits assigned to 3280 genomes from 260 bacteria genera. The bacterial strains with complete denitrification potential pattern included Arcobacteraceae strains isolated or detected in diverse ecosystems including aquatic, human, plant, and Mollusca (shellfish). The dataset on microbial denitrification potential and associated interactive data investigations tools can serve as research resources for understanding the biochemical, molecular, and physiological aspects of microbial denitrification, among others. The microbial denitrification data resources produced in our research can also be useful for identifying microbial strains for synthetic denitrifying communities.

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Effects of ultraviolet radiation on microorganism and nitrogen metabolism in sewage under plateau background

Chen

Hao²,

Yongli³

et al. 2023

Environ Sci Pollut Res

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The intrinsic relevance of nitrogen removal pathway to varying nitrate loading rate in a polycaprolactone-supported denitrification system

Cited by 5 publications

References 55 publications

Effect of pyrite particle size on the denitrification performance of autotrophic or split‐mixotrophic bioreactors supported by pyrite/polycaprolactone

Effect of pyrite particle size on the denitrification performance of autotrophic or split‐mixotrophic bioreactors supported by pyrite/polycaprolactone

Ecological Trait-Based Digital Categorization of Microbial Genomes for Denitrification Potential

Effects of ultraviolet radiation on microorganism and nitrogen metabolism in sewage under plateau background

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