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Critical Factors Facilitating Candidatus Nitrotoga to Be Prevalent Nitrite-Oxidizing Bacteria in Activated Sludge

  • Min Zheng
  • , Siqi Li
  • , Gaofeng Ni
  • , Jun Xia
  • , Shihu Hu
  • , Zhiguo Yuan
  • , Yanchen Liu*
  • , Xia Huang
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

Nitrite oxidation is the primary pathway that generates nitrate in engineered systems. However, little is known about the role of a novel nitrite-oxidizing bacteria (NOB) genus Candidatus Nitrotoga in activated sludge systems. To elucidate key factors that impact NOB community composition, laboratory-scale sequencing batch reactors (SBRs) were designed and operated under the same conditions as real wastewater treatment plants to achieve considerable nitrogen removal and similar community; then, different conditions including temperature (T), dissolved oxygen (DO), free nitrous acid (FNA), and free ammonia (FA) were applied. The 16S rRNA gene-based PCR and sequence analysis illustrated that Ca. Nitrotoga were abundant even at ambient temperature, thus further challenging the previous conception of them being solely cold-adapted. Ca. Nitrotoga are less competitive than Nitrospira during oxygen deficiency, indicating its lower affinity to dissolved oxygen. Ca. Nitrotoga are the dominant nitrite oxidizers under regular exposure to FNA and FA due to their relatively higher resistance than other NOB toward these two effective biocides. Therefore, this study demonstrates that Ca. Nitrotoga can play an important role in biological nitrogen removal and also highlights the need for multiple strategies for NOB suppression for the next-generation, shortcut nitrogen removal. © American Chemical Society.
Original languageEnglish
Pages (from-to)15414-15423
JournalEnvironmental Science and Technology
Volume54
Issue number23
Online published12 Nov 2020
DOIs
Publication statusPublished - 1 Dec 2020
Externally publishedYes

Funding

This project was funded by the National Natural Science Foundation of China (No. 51708326), the Major Science and Technology Program for Water Pollution Control and Treatment of China (Nos. 2017ZX07103007 and 2018ZX07111006), and the special fund of the State Key Joint Laboratory of Environmental Simulation and Pollution Control (19K10ESPCT). The authors would like to thank Dr. Zheng-Shuang Hua (Department of Biological Sciences, Dartmouth College) for the discussion about phylogenetic tree calculations, and also acknowledge the helpful comments/suggestions of anonymous reviewers.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

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