Semantic Scholar Open Access 2016 422 sitasi

Genome-based microbial ecology of anammox granules in a full-scale wastewater treatment system

D. Speth Michiel H. in ‘t Zandt Simon Guerrero-Cruz B. Dutilh M. Jetten

Abstrak

Partial-nitritation anammox (PNA) is a novel wastewater treatment procedure for energy-efficient ammonium removal. Here we use genome-resolved metagenomics to build a genome-based ecological model of the microbial community in a full-scale PNA reactor. Sludge from the bioreactor examined here is used to seed reactors in wastewater treatment plants around the world; however, the role of most of its microbial community in ammonium removal remains unknown. Our analysis yielded 23 near-complete draft genomes that together represent the majority of the microbial community. We assign these genomes to distinct anaerobic and aerobic microbial communities. In the aerobic community, nitrifying organisms and heterotrophs predominate. In the anaerobic community, widespread potential for partial denitrification suggests a nitrite loop increases treatment efficiency. Of our genomes, 19 have no previously cultivated or sequenced close relatives and six belong to bacterial phyla without any cultivated members, including the most complete Omnitrophica (formerly OP3) genome to date. ANaerobic AMMonium OXidation (ANAMMOX) combined with partial nitritation has been adopted for removal of ammonium from wastewater. Here, Speth et al. describe the bacterial metagenome of a partial-nitritation/anammox (PNA) reactor, and provide 23 draft genomes, 19 of which were previously uncharacterized/sequenced/cultivated.

Topik & Kata Kunci

Penulis (5)

D

D. Speth

M

Michiel H. in ‘t Zandt

S

Simon Guerrero-Cruz

B

B. Dutilh

M

M. Jetten

Format Sitasi

Speth, D., Zandt, M.H.i.‘., Guerrero-Cruz, S., Dutilh, B., Jetten, M. (2016). Genome-based microbial ecology of anammox granules in a full-scale wastewater treatment system. https://doi.org/10.1038/ncomms11172

Akses Cepat

Lihat di Sumber doi.org/10.1038/ncomms11172
Informasi Jurnal
Tahun Terbit
2016
Bahasa
en
Total Sitasi
422×
Sumber Database
Semantic Scholar
DOI
10.1038/ncomms11172
Akses
Open Access ✓