Details

Autor(en) / Beteiligte

• Xing, Wei
• Li, Jinlong
• Li, Desheng
• Hu, Jincui
• Deng, Shihai
• Cui, Yuwei
• Yao, Hong

Titel

Stable-Isotope Probing Reveals the Activity and Function of Autotrophic and Heterotrophic Denitrifiers in Nitrate Removal from Organic-Limited Wastewater

Ist Teil von

• Environmental science & technology, 2018-07, Vol.52 (14), p.7867-7875

Ort / Verlag

United States: American Chemical Society

Erscheinungsjahr

2018

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Combined heterotrophic and autotrophic denitrification (HAD) is a sustainable and practical method for removing nitrate from organic-limited wastewater. However, the active microorganisms responsible for denitrification in wastewater treatment have not been clearly identified. In this study, a combined microelectrolysis, heterotrophic, and autotrophic denitrification (CEHAD) process was established. DNA-based stable isotope probing was employed to identify the active denitrifiers in reactors fed with either 13C-labeled inorganic or organic carbon sources. The total nitrogen removal efficiencies reached 87.2–92.8% at a low organic carbon concentration (20 mg/L COD). Real-time polymerase chain reaction of the nirS gene as a function of the DNA buoyant density following the ultracentrifugation of the total DNA indicated marked 13C-labeling of active denitrifiers. High-throughput sequencing of the fractionated DNA in H13CO3 –/12CH3 12COO–-fed and H12CO3 –/13CH3 13COO–-fed reactors revealed that Thermomonas-like phylotypes were labeled by 13C-bicarbonate, while Thauera-like and Comamonas-like phylotypes were labeled by 13C-acetate. Meanwhile, Arenimonas-like and Rubellimicrobium-like phylotypes were recovered in the “heavy” DNA fractions from both reactors. These results suggest that nitrate removal in CEHAD is catalyzed by various active microorganisms, including autotrophs, heterotrophs, and mixotrophs. Our findings provide a better understanding of the mechanism of nitrogen removal from organic-limited water and wastewater and can be applied to further optimize such processes.