Literature DB >> 29051250

Metagenome of the Microbial Community of Anammox Granules in a Nitritation/Anammox Wastewater Treatment System.

Andrey V Mardanov1, Alexey V Beletsky2, Yury Nikolaev3,4, Roman Y Kotlyarov2, Anna Kallistova3, Nikolai V Pimenov3, Nikolai V Ravin2.   

Abstract

We sequenced the metagenome of a granular sludge in a nitritation/anammox bioreactor used for the treatment of ammonium-rich wastewater. Proteobacteria, Planctomycetes, Bacteroidetes, Chloroflexi, Ignavibacteriae, and Acidobacteria were the predominant phyla in the studied bioreactor. Binning of contigs yielded a near-complete genome of the dominant anammox bacterium assigned to the candidate genus Brocadia.
Copyright © 2017 Mardanov et al.

Entities:  

Year:  2017        PMID: 29051250      PMCID: PMC5646403          DOI: 10.1128/genomeA.01115-17

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Partial nitritation/anammox (N/A) technologies are promising for the treatment of ammonium-rich wastewater. However, the anammox bacteria are characterized by very low growth rates, which limits the scale-up of the anammox process, while the absence of pure cultures of these bacteria complicates an investigation of their genetic and physiological characteristics. Moreover, anammox bacteria are highly sensitive to a number of environmental factors (temperature, pH, etc.) that cause instability of the anammox process (1). The implementation of N/A technologies is also impeded by the complexity of microbial communities of bioreactors comprising not only anammox bacteria, but also a number of other physiological groups, such as fermentative bacteria, nitrifiers, denitrifiers, methanogens, and others (2–4). In this study, a 100-liter hybrid completely mixed constant-flow N/A reactor with suspended and immobilized activated sludge operating at a Moscow wastewater treatment plant (5) was analyzed. The 50-g sample of firmly attached sludge, representing anammox granules, was isolated on day 120 of the reactor operation when it stably removed about 81% of the total nitrogen with an influent ammonium concentration of 270 to 300 mg NH4-N/liter (5). Metagenomic DNA was isolated using the PowerSoil DNA isolation kit (Mo Bio, Inc. Laboratories, Carlsbad, CA) and sequenced with a Roche Genome Sequencer FLX (GS FLX) using the Titanium XL+ protocol for a shotgun library and paired-end library, with an average size of 8 kbp. About 312 Mb and 61 Mb of sequences were obtained for the shotgun and the paired-end libraries, respectively. To characterize the taxonomic composition of the microbial community, we identified raw pyrosequencing reads representing 16S rRNA genes using a BLASTN search against the SILVA SEED database (6). The RDP Classifier (7) was used for the taxonomic classification of these sequences. Proteobacteria, mostly represented by the class Betaproteobacteria, was the most abundant lineage (26.8% of all reads classified at the phylum level), followed by Planctomycetes (20.0%), Bacteroidetes (14%), Chloroflexi (11%), Ignavibacteriae (6%), and Acidobacteria (5%). The presence of these bacterial lineages reflects the complexity of microbial processes in the studied N/A bioreactor performed by anammox Planctomycetes, fermentative bacteria, and denitrifiers. Archaea accounted for only 1% of 16S rRNA reads and were represented by methanogens of the order Methanobacteriales. The reads were de novo assembled into contigs using the Newbler Assembler version 2.9 (454 Life Sciences, Branford, CT). A total of 7,798 contigs with an N50 contig size of 2,137 bp were obtained. Binning of contigs using the CONCOCT tool (8) allowed us to obtain a near-complete composite genome of the dominant anammox bacterium. A BLASTN search against the NCBI database revealed that 16S rRNA sequence from this genome is 97% identical to that of Candidatus “Brocadia caroliniensis” (2). The obtained genomic data will be useful for further studies of microbial processes in wastewater treatment systems and genome-based analysis of anammox bacteria.

Accession number(s).

The sequences obtained in this project have been deposited in the NCBI Sequence Read Archive under the accession numbers SRX3153926, SRX3153925, and SRX3153924.
  8 in total

1.  Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy.

Authors:  Qiong Wang; George M Garrity; James M Tiedje; James R Cole
Journal:  Appl Environ Microbiol       Date:  2007-06-22       Impact factor: 4.792

2.  Discovery and metagenomic analysis of an anammox bacterial enrichment related to Candidatus "Brocadia caroliniensis" in a full-scale glycerol-fed nitritation-denitritation separate centrate treatment process.

Authors:  Hongkeun Park; Ariane C Brotto; Mark C M van Loosdrecht; Kartik Chandran
Journal:  Water Res       Date:  2017-01-06       Impact factor: 11.236

3.  Novel design and optimisation of a nitritation/anammox set-up for ammonium removal from filtrate of digested sludge.

Authors:  Yury Nikolaev; Anna Kallistova; Marina Kevbrina; Alexander Dorofeev; Anton Agarev; Andrey Mardanov; Nikolay Ravin; Michail Kozlov; Nikolay Pimenov
Journal:  Environ Technol       Date:  2017-04-05       Impact factor: 3.247

4.  Bacterial community structure of a lab-scale anammox membrane bioreactor.

Authors:  Alejandro Gonzalez-Martinez; F Osorio; Alejandro Rodriguez-Sanchez; Maria Victoria Martinez-Toledo; Jesus Gonzalez-Lopez; Tommaso Lotti; M C M van Loosdrecht
Journal:  Biotechnol Prog       Date:  2014-10-18

5.  Molecular mechanism of anaerobic ammonium oxidation.

Authors:  Boran Kartal; Wouter J Maalcke; Naomi M de Almeida; Irina Cirpus; Jolein Gloerich; Wim Geerts; Huub J M Op den Camp; Harry R Harhangi; Eva M Janssen-Megens; Kees-Jan Francoijs; Hendrik G Stunnenberg; Jan T Keltjens; Mike S M Jetten; Marc Strous
Journal:  Nature       Date:  2011-10-02       Impact factor: 49.962

6.  Binning metagenomic contigs by coverage and composition.

Authors:  Johannes Alneberg; Brynjar Smári Bjarnason; Ino de Bruijn; Melanie Schirmer; Joshua Quick; Umer Z Ijaz; Leo Lahti; Nicholas J Loman; Anders F Andersson; Christopher Quince
Journal:  Nat Methods       Date:  2014-09-14       Impact factor: 28.547

7.  The SILVA ribosomal RNA gene database project: improved data processing and web-based tools.

Authors:  Christian Quast; Elmar Pruesse; Pelin Yilmaz; Jan Gerken; Timmy Schweer; Pablo Yarza; Jörg Peplies; Frank Oliver Glöckner
Journal:  Nucleic Acids Res       Date:  2012-11-28       Impact factor: 16.971

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

Authors:  Daan R Speth; Michiel H In 't Zandt; Simon Guerrero-Cruz; Bas E Dutilh; Mike S M Jetten
Journal:  Nat Commun       Date:  2016-03-31       Impact factor: 14.919

  8 in total
  2 in total

1.  Genome of a Novel Bacterium "Candidatus Jettenia ecosi" Reconstructed From the Metagenome of an Anammox Bioreactor.

Authors:  Andrey V Mardanov; Alexey V Beletsky; Nikolai V Ravin; Ekaterina A Botchkova; Yuriy V Litti; Alla N Nozhevnikova
Journal:  Front Microbiol       Date:  2019-10-29       Impact factor: 5.640

2.  The structure of microbial communities of activated sludge of large-scale wastewater treatment plants in the city of Moscow.

Authors:  Shahjahon Begmatov; Alexander G Dorofeev; Vitaly V Kadnikov; Alexey V Beletsky; Nikolai V Pimenov; Nikolai V Ravin; Andrey V Mardanov
Journal:  Sci Rep       Date:  2022-03-02       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.