論文

査読有り
2021年1月

Cometabolism of the Superphylum Patescibacteria with Anammox Bacteria in a Long-Term Freshwater Anammox Column Reactor

WATER
  • Suguru Hosokawa
  • ,
  • Kyohei Kuroda
  • ,
  • Takashi Narihiro
  • ,
  • Yoshiteru Aoi
  • ,
  • Noriatsu Ozaki
  • ,
  • Akiyoshi Ohashi
  • ,
  • Tomonori Kindaichi

13
2
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.3390/w13020208
出版者・発行元
MDPI

Although the anaerobic ammonium oxidation (anammox) process has attracted attention regarding its application in ammonia wastewater treatment based on its efficiency, the physiological characteristics of anammox bacteria remain unclear because of the lack of pure-culture representatives. The coexistence of heterotrophic bacteria has often been observed in anammox reactors, even in those fed with synthetic inorganic nutrient medium. In this study, we recovered 37 draft genome bins from a long-term-operated anammox column reactor and predicted the metabolic pathway of coexisting bacteria, especially Patescibacteria (also known as Candidate phyla radiation). Genes related to the nitrogen cycle were not detected in Patescibacterial bins, whereas nitrite, nitrate, and nitrous oxide-related genes were identified in most of the other bacteria. The pathway predicted for Patescibacteria suggests the lack of nitrogen marker genes and its ability to utilize poly-N-acetylglucosamine produced by dominant anammox bacteria. Coexisting Patescibacteria may play an ecological role in providing lactate and formate to other coexisting bacteria, supporting growth in the anammox reactor. Patescibacteria-centric coexisting bacteria, which produce anammox substrates and scavenge organic compounds produced within the anammox reactor, might be essential for the anammox ecosystem.

リンク情報
DOI
https://doi.org/10.3390/w13020208
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000611751000001&DestApp=WOS_CPL
ID情報
  • DOI : 10.3390/w13020208
  • eISSN : 2073-4441
  • Web of Science ID : WOS:000611751000001

エクスポート
BibTeX RIS