Abstract
The microbial community of a laboratory-scale bioreactor based on the anammox process was investigated by using metagenomic approaches and fluorescent in situ hybridization (FISH). The bioreactor was initially inoculated with activated sludge from the denitrifying bioreactor of a municipal wastewater treatment station. By constantly increasing the ammonium and nitrite load, a microbial community containing the novel species of anammox bacteria “Candidatus Jettenia ecosi” developed in the bioreactor after 5 years when the maximal daily nitrogen removal rate reached 8.5 g/L. Sequencing of the metagenome of anammox granules and the binning of the contigs obtained, allowed a high quality draft genome of the dominant anammox bacterium, “Candidatus Jettenia ecosi” to be assembled. Annotation of the 3.9 Mbp long genome revealed 3970 putative protein-coding genes, 45 tRNA genes, and genes for 16S/23S rRNAs. Analysis of the genome of “Candidatus Jettenia ecosi” revealed genes involved in anammox metabolism, including nitrite and ammonium transporters, copper-containing nitrite reductase, a nitrate reductase complex, hydrazine synthase, and hydrazine dehydrogenase. Autotrophic carbon fixation could be accomplished through the Wood Ljungdahl pathway. The composition of the community was investigated through a search of 16S rRNA sequences in the metagenome and FISH analysis of the anammox granules. The presence of the members of Ignavibacteriae, Betaproteobacteria, Chloroflexi and other microbial lineages reflected the complexity of the microbial processes in the studied bioreactor performed by anammox Planctomycetes, fermentative bacteria, and denitrifiers.
Keywords: anammox, metagenome, bioreactor, “Candidatus Jettenia ecosi”, FISH
Introduction
Anammox bacteria are unique autotrophic members of Planctomycetes capable of anaerobic ammonia oxidation with nitrite (Strous et al., 1999). Since their discovery, anammox bacteria are considered to be biotechnologically valuable microorganisms. They are successfully applied in various systems for effective nitrogen removal, including wastewater and leachate treatment (Kartal et al., 2010; Cao et al., 2017; Ye et al., 2019). Anammox bacteria produce dinitrogen gas via anammox process: anaerobic ammonia oxidation with nitrite. The anammox process has three stages: nitrite reduction to NO catalyzed by nitrite reductase; synthesis of hydrazine (N2H4) from NO and ammonia carried out by hydrazine synthase and oxidation of hydrazine to dinitrogen, hypothetically by a variant of hydroxylamine oxidoreductase (Kartal and Keltjens, 2016). To date, five candidate genera of anammox bacteria have been described: “Candidatus Brocadia, Kuenenia, Scalindua, Jettenia, and Anammoxoglobus.” First member of the genus “Candidatus Jettenia,” “Ca. Jettenia asiatica,” was described in 2008 (Quan et al., 2008). Members of the genus “Ca. Jettenia” are typical inhabitants of bioreactors (Cho et al., 2017; Yang et al., 2018; Chini et al., 2019), they also were found in natural environments such as soils, groundwater and freshwater sediment (Lisa et al., 2014; Sonthiphand et al., 2014; Zhao S. et al., 2018). The first member of the genus “Candidatus Jettenia,” “Ca. Jettenia asiatica,” was detected in a granular sludge anammox reactor (Quan et al., 2008). According to the analysis of metagenome of this bioreactor, “Ca. Jettenia asiatica” was predicted to have a flexible anammox metabolism, close to that in other anammox bacteria, and possesses an ability to fix carbon via the Wood Ljungdahl pathway (Hu et al., 2012). Among the members of the genus “Ca. Jettenia,” near-complete genome sequence was reported only for “Ca. Jettenia caeni” KSU-1, obtained in an enrichment culture (Ali et al., 2015), but this genome has not been analyzed in details.
A novel species of the genus, “Ca. Jettenia ecosi,” was described in 2018 as a key member of microbial community of laboratory-scale upflow bioreactor fed with mineral medium with elevated nitrogen load (Botchkova et al., 2018). “Ca. Jettenia ecosi” is active in a wide range of substrate concentrations (0.02–5.6 g N/L), it can tolerate pH levels from 7.2 to 8.8 and microaerophilic conditions (presence of 3% oxygen in the gas phase). In the current article we report the results of the metagenomic studies of bioreactor community, metagenome sequencing and analysis, combined with fluorescent in situ hybridization (FISH) analysis.
Materials and Methods
Enrichment of Anammox Biomass in a Lab-Scale Anammox Bioreactor
To obtain an active microbial community enriched with anammox bacteria, flow cultivation in a vertical lab-scale upflow bioreactor was used. The bioreactor was initially inoculated with activated sludge from a denitrificator of a wastewater treatment plant “BCH-ECOS” constructed by the “ZAO ECOS” company in the Sochi region of Russia. Start-up and construction of the bioreactor has been described previously (Nozhevnikova et al., 2012). The bioreactor was fed with a mineral medium containing NH4Cl and NaNO2 in the molar ratio of 1:1.32 as substrates for the anammox process. Concentrations of substrates were gradually increased as the biomass became adapted to it. By the 5th year of cultivation, i.e., the time when the metagenomic studies were carried out, the nitrogen load had reached 8.5 g N⋅L–1⋅day–1. Working conditions of the bioreactor are summarized inTable 1.
TABLE 1.
Indicator | Value |
N-NH4+, mg/L | 400 ± 15 |
N-NO2−, mg/L | 400 ± 20 |
Temperature, °Ñ | 30 |
pH of synthetic media | 7.6–7.8 |
Oxygen concentration in synthetic media, mg/L | 2.01–2.88 |
Working volume of the bioreactor, L | 0.8 |
Flow rate, L/day | 6–8 |
The bioreactor was equipped with polymer brush-shaped carriers for biomass immobilization.
Chemical Analyses
Concentrations of nitrite and ammonium were measured colorimetrically using a Hach Lange DR 5000 (“Hach,” Germany) spectrophotometer according to standard methods proposed by the manufacturer: NH4+ – with Nessler reagent, NO2– – with Griess reagent and using the ferrous sulfate reduction method. Oxygen concentration was measured with a Seven2Go Pro portable oxygen meter, with an InLab OptiOX sensor (“Mettler Toledo,” Switzerland). pH was measured using a HANNA pH-211 (Germany) laboratory pH-meter.
Fluorescent in situ Hybridization
Fixation and pre-treatment of samples were conducted as described previously (Botchkova et al., 2014). In brief, samples were fixed in a 4% paraformaldehyde/phosphate-buffered saline solution and applied onto slides coated with a 0.1% gelatine solution containing 0.01% KCr(SO4)2. Post fixation in 50, 80, and 96% ethanol was performed (3 min each). Hybridization was carried out at a temperature of 46°Ñ according to the standard scheme (Amann et al., 1990). All of the Cy3-labeled oligonucleotide probes used in this study, together with their specificity and hybridizing conditions, are listed in table (Supplementary Table S1). Cy-3-labeled probes were provided by “Syntol” (Russia).
Microscopy
Phase contrast and epifluorescent microscopy were carried out using a Zeiss Lab.A1 (“CarlZeiss,” Germany) microscope, equipped with an AxioCamHR digital camera, with a Zeiss 20 filter for Cy-3-labeled probes for FISH.
Metagenome Sequencing and Assembly, Contig Binning, and Analysis of the Composite Genome of the Anammox Bacterium
The red-colored anammox granules were collected from the bioreactor, washed in water and used for DNA extraction (Supplementary Figure S1). Metagenomic DNA was isolated from anammox granules using the PowerSoil DNA isolation kit (Mo Bio, Inc., Laboratories, Carlsbad, CA, United States) and sequenced with a Roche Genome Sequencer (GS FLX), using the Titanium XL + protocol for a shotgun genome library. About 682.6 Mb of sequences with an average read length of 411 nt were generated and de novo assembled into contigs using the Newbler Assembler version 2.9 (454 Life Sciences, Branford, CT, United States) with default settings.
Contigs longer than 1000 bp were binned into clusters representing the metagenome-assembled genomes (MAG) of the community members using the program CONCOCT v. 0.4.1 (Alneberg et al., 2014). For “Ca. Jettenia ecosi” MAG the correctness of binning was manually curated using the Newbler assembly graph which shows the connections of contigs to each other and coverage information. We manually checked contigs that contained no genes with high similarity (more than 90% amino acid sequence identity) to “Ca. Jettenia caeni.” If such contig had graph edges only with other contigs from “Ca. Jettenia ecosi” bin at least at one end we kept it. If such questionable contig had edges with contigs from other genome bins we removed it. If the contig has the similar sequencing coverage like other contigs from “Ca. Jettenia ecosi” bin and no graph edges to other contigs we kept it. Finally, five contigs were excluded from the CONCOCT-generated “Ca. Jettenia ecosi” MAG initially comprised 228 contigs.
The completeness and contamination of the recovered MAGs were estimated using CheckM v. 1.05 (Parks et al., 2015) with lineage-specific marker genes. The assembled MAGs were taxonomically assigned using GTDB-Tk version 0.1.3 tool and Genome Taxanomy database (GTDB) (Parks et al., 2018).
The 16S rRNA genes were found in binned contigs by CheckM. For MAG assigned to the Candidatus Jettenia sp. J2 gene search and annotation were performed using the RAST server 2.0 (Brettin et al., 2015), followed by manual correction by searching the National Center for Biotechnology Information (NCBI) databases. Signal peptides were predicted using Signal P v.4.1 for Gram-negative bacteria1 and PRED-TAT2. The transmembrane helices were predicted with TMHMM Server v. 2.03.
The values of DNA-DNA hybridization in silico were calculated using GGDC 2 (Meier-Kolthoff et al., 2013), available at http://ggdc.dsmz.de/. Recommended formula 2 was used for the calculation. The average nucleotide identity (ANI) values were calculated using ANIcalculator v. 1.0 from enveomics collection (Rodriguez-R and Konstantinidis, 2016).
Phylogenetic Analysis
The 16S rRNA sequences were aligned using MUSCLE included in MEGA 6.0 (Tamura et al., 2013). The maximum likelihood phylogenetic tree was computed by MEGA 6.0, using the Tamura-Nei substitution model and uniform rates among sites. Bootstrap tests were performed with 100 resamplings.
16S rRNA-Based Analysis of Microbial Community Composition
Raw reads obtained on GS FLX were screened against the RDP 16S rRNA database v. 11 (Cole et al., 2014) using BLASTN (e-value < 1e-5). Selected reads were passed to ssu_finder command of CheckM v. 1.05 to identify and extract the 16S rRNA gene sequences. A total of 881 identified sequences of 16S rRNA gene fragments were taxonomically assigned using the online RDP Naive Bayesian rRNA Classifier Version 2.0 with a confidence threshold of 0.8 (Wang et al., 2007).
Nucleotide Sequence Accession Number
Metagenomic read data were deposited in the Sequence Read Archive (SRA) under the accession number SRR8953774. The annotated genome sequence of “Candidatus Jettenia ecosi J2” has been deposited in the GenBank database under accession number SULG00000000.
Results
Biomass Enrichment in a Lab-Scale Upflow Bioreactor
Working conditions of the bioreactor (absence of active aeration and organics, high amounts of nitrogen substrates for anammox process) were selected to favor the growth of anammox bacteria and suppress the growth of other microbial groups. This resulted in the accumulation of a high amount of active biomass performing nitrogen removal. By the time metagenomic studies started, mean effectiveness of the anammox process had reached 96% (Figure 1). Inside the bioreactor, biofilms of various types were formed (Botchkova et al., 2014). Red-colored granules with a rigid surface, up to 7 mm in diameter were formed on the carriers and in the sediment. Thin (0.5 mm or less) easily broken biofilms developed on the walls of the bioreactor, on the surface of the effluent collector and inside the tubes for effluent removal. Also, single flocs occurred in the water column.
FISH Analysis of the Microbial Community
FISH was used to visualize various groups of microbial satellites of anammox bacteria in the microbial community of the bioreactor, in order to complete and clarify the structure of the community. According to the results of phase contrast and electron microscopy, filamentous microorganisms are one of the most abundant members of the community (Botchkova et al., 2014). Usually they are observed outside the clusters of anammox cells, embedded into an extracellular polymeric matrix of the granules. Three distinct morphotypes of the filamentous microorganisms can be described: filaments 0.5 μm wide and up to 70 μm long; filaments 1–1.5 μm wide and up to 30 μm long; bead-shaped filaments 1 μm wide and up to 80 μm long. Filamentous microorganisms of the aforementioned two last morphotypes hybridized with probes with specificity to phylum Chloroflexi and thus can be attributed as members of this phylum (Figures 2A,B). Conditions inside the bioreactor are rather unfavorable for nitrifying microorganisms. Lack of active aeration was expected to suppress the growth of nitrifiers. However, both ammonium- and nitirite-oxidizing nitrifiers are present in the bioreactor community in a minor capacity, accounting for less than 5% of the total microbial population, according to the results of a direct count of hybridized cells. Aerobic ammonia oxidizers (AOB) of the genus Nitrosomonas were detected both in the granules and the flocs. They form densely packed clusters of approximately 30-40 coccoid cells (Figure 2C). Aerobic nitrite oxidizers (NOB) of the genera Nitrospira and Nitrospina, were also detected. They usually appear as small clusters or islets of 10–15 cells (Figures 2E,F). Application of the Methanomicrobia-specific probe EURY499 helped to trace the presence of methanogenic archaea. They form small single microcolonies in the core region of the granules (Figure 2D).
Metagenome Assembly and Binning Results
In order to assemble the composite genomes of the most numerous members of the anammox community, we sequenced the metagenome of the red-colored anammox granules. A total of 682.6 Mb of metagenomic sequences were assembled into contigs, which were distributed among 13 major genome bins (metagenome-assembled genomes, MAGs), altogether comprised 77.4% of the whole metagenome (Table 2). Phylogenetic assignment of MAGs based on the searches against GTDB (Parks et al., 2018) revealed the members of five bacterial phyla, – Planctomycetes (43% of the whole metagenome), Ignavibacteriae (13%), Chloroflexi (9.9%), Proteobacteria (class beta, 9.2%), and Armatimonadetes (2.3%).
TABLE 2.
Bin Id | Phylogenetic assignment | Completeness (%) | Redundancy (%) | Contigs | Genome size (Mbp)∗ | Genome coverage | Share in the whole metagenome (%) |
2 | Planctomycetes; Ca. Jettenia | 100.0 | 3.5 | 223∗∗ | 3.86∗∗ | 53 | 30.53 |
15 | Planctomycetes; Ca. Brocadia | 90.1 | 9.3 | 867 | 3.55 | 8.0 | 4.15 |
17 | Planctomycetes; Ca. Kuenenia | 25.6 | 0.1 | 1298 | 2.03 | 7.0 | 2.08 |
16 | Planctomycetes; Phycisphaerales | 67.2 | 6.5 | 1404 | 3.51 | 6.0 | 3.10 |
20 | Planctomycetes; Phycisphaerales | 80.5 | 1.8 | 603 | 3.27 | 6.4 | 3.09 |
1 | Ignavibacteriae; Ignavibacterium | 86.0 | 0 | 73 | 3.18 | 27 | 12.46 |
21 | Ignavibacteriae; Ignavibacterium | 30.7 | 0 | 649 | 1.05 | 3.5 | 0.54 |
11 | Chloroflexi; Anaerolineae; Ca. Promineofilaceae | 95.3 | 4.7 | 436 | 5.82 | 9.7 | 8.22 |
3 | Chloroflexi; Anaerolineae | 53.1 | 2.0 | 1222 | 2.80 | 4.2 | 1.72 |
10 | Betaproteobacteria; Burkholderiaceae | 85.9 | 1.3 | 542 | 3.21 | 13 | 5.97 |
4 | Betaproteobacteria; Burkholderiaceae | 25.6 | 3.1 | 1057 | 1.49 | 5.9 | 1.28 |
7 | Betaproteobacteria; Rhodocyclaceae | 68.3 | 29.7 | 2152 | 3.74 | 3.6 | 2.00 |
9 | Armatimonadetes; Fimbriimonadaceae | 73.4 | 3.3 | 924 | 2.95 | 5.2 | 2.26 |
∗Total length of all contigs; ∗∗upon manual curation of this bin.
The most abundant phylum, Planctomycetes, was represented by five MAGs. Three of them were assigned to anammox genera “Ca. Jettenia,” “Ca. Brocadia” and “Ca. Kuenenia,” while two other MAGs belonged to the order Phycisphaerales but were phylogenetically distant from known genera. A single MAG, designated J2 and assigned to the genus “Ca. Jettenia,” accounted for 30.5% of the whole metagenome. It was sequenced to 53x average coverage and represented by 223 contigs with a total length of 3,864,554 bp. CheckM estimated the completeness of this genome as 100%, with 3.4% possible contamination (redundancy). Therefore this MAG met the recently proposed criteria (Bowers et al., 2017) for the high quality metagenome-assembled genomes (> 90% completeness with < 5% redundancy and the presence of rRNA genes). The 16S rRNA sequence present in this MAG was 100% identical to that of “Candidatus Jettenia ecosi,” an anammox bacterium previously found in the studied bioreactor (Botchkova et al., 2018). It also shared a 98.3% sequence identity with “Candidatus Jettenia asiatica” AS-1 (Quan et al., 2008) and 98.3% with “Candidatus Jettenia caeni” KSU-1 (Ali et al., 2015). A 99.4% sequence identity was found for 16S rRNA gene sequences of the J2 bacterium and “Candidatus Jettenia moscovienalis” clone B01 (Nikolaev et al., 2015), although only a 644-bp long 16S rRNA gene fragment was reported for this tentative species (GenBank KF720711). Phylogenetic analysis based on 16S rRNA gene sequences placed J2 bacterium within the genus “Candidatus Jettenia,” where it formed a distinct lineage along with candidate species “Jettenia caeni” and “Jettenia asiatica” (Figure 3). Among the members of the genus “Candidatus Jettenia,” genome sequence is available only for “Candidatus Jettenia caeni” KSU-1 (GenBank NZ_BAFH00000000); the value of in silico DNA-DNA hybridization of J2 and KSU-1 genomes was about 60%, which does not allow whether these bacteria belong to a single or different species to be defined. The ANI between the genomes of J2 and KSU-1 was 94.91%, a value just below the species boundary cutoff of 95% (Konstantinidis and Tiedje, 2005; Jain et al., 2018), suggesting a recent divergence and speciation of these species (Olm et al., 2019).
The second most abundant phylum, Ignavibacteriae, was represented by MAG 1 with an estimated completeness of 86% and no detected redundancy, and a poorly assembled MAG 21 representing less abundant organism (Table 2). MAG1, designated Ignavibacteriales bacterium MGE-1, was phylogenetically close to Ignavibacteriales bacterium UTCHB2 (84.9% AAI), identified in an anammox bioreactor (Lawson et al., 2017), and more distantly related to two cultured species of this phylum, Ignavibacterium album (64.4% AAI) and Melioribacter roseus (53.8% AAI). Both these species are facultative anaerobes growing on carbohydrates by aerobic respiration, fermentation or by reducing diverse electron acceptors (Liu et al., 2012; Kadnikov et al., 2013). According to the AAI thresholds for classification of uncultivated microorganisms (45–65% for the same family, 65–95% for the same genus and 95–100% for the same species, Konstantinidis et al., 2017), Ignavibacteriales bacterium MGE-1 and UTCHB2 belongs to the same genus within the family Ignavibacteriaceae. Genome analysis of Ignavibacteriales bacterium MGE-1 revealed that this is metabolically versatile heterotrophic microorganism with capacities for fermentation, aerobic and anaerobic respiration. Particularly, the genome contained narGHIJ genes coding for membrane-linked respiratory nitrate reductase that reduce nitrate to nitrite and genes for pentaheme nitrite reductase NrfHA reducing nitrate to ammonia. In addition, nitrous oxide reductase could perform dissimilatory reduction of N2O to dinitrogen gas, while genes for the nitric oxide reductase (norBC or norZ) were not found. Terminal oxygen reductases in MGE-1 bacterium are represented by a low-affinity b(o/a)3-type cytochrome c oxidase and a high-affinity quinol oxidase bd complex.
The phylum Chloroflexi was represented by two MAGs. More abundant MAG11, assembled with an estimated 95.5% completeness and 4.7% redundancy, was phylogenetically related to Ca. Promineofilum breve (56.2% AAI), detected in activated sludge of wastewater treatment plant (McIlroy et al., 2016). Genome of this bacterium, designated Chloroflexi bacterium MGE-11, encoded NarGHIJ respiratory nitrate reductase, NrfHA nitrite reductase and nitrous oxide reductase. Contrary to Ignavibacteriales bacterium MGE-1, the MGE-11 genome also contained the nirK gene of copper-containing nitrite reductase that reduces nitrite to nitric oxide. Complete aerobic respiratory chain is also present, including NADH dehydrogenase, succinate dehydrogenase, cytochrome bc complex III and cytochrome c oxidase, as well as a quinol oxidase bd complex.
Three MAGs were assigned to the families Burkholderiaceae and Rhodocyclaceae of the Betaproteobacteria, but appeared to be phylogenetically distant from cultured species. In addition, a single MAG was assigned to the family Fimbriimonadaceae of the phylum Armatimonadetes (Table 2).
Anammox Metabolic Pathways of “Candidatus Jettenia ecosi J2”
Genome analysis of “Ca. Jettenia ecosi” J2 revealed pathways rather typical for anammox bacteria (reviewed in Kartal and Keltjens, 2016). Anammox bacteria should be able to take up substrates, ammonium and nitrite, used for the anammox process from the environment. Consistently, the genome of “Ca. Jettenia ecosi” J2 encodes nine copies of AmtB-like ammonium transporters. Four of these genes are clustered with genes-encoding nitrogen regulatory proteins P-II that bind directly to the AmtB and regulate the ammonia channel (Conroy et al., 2007). Three focA genes encoding nitrite/formate transporters were identified, along with a single gene for a putative nitrate/nitrite transporter NarK.
The first step of the anammox reactions, reduction of nitrite to NO, was thought to be catalyzed by a cytochrome cd1-type nitrite reductase NirS in the “Candidatus Kuenenia” and “Candidatus Scalindua” species (Strous et al., 2006; van de Vossenberg et al., 2013), while the copper-containing NirK nitrite reductase was found in the genomes of the anammox strain KSU-1, “Candidatus Jettenia asiatica” and “Candidatus Brocadia fulgida” (Hira et al., 2012; Hu et al., 2012). Gene encoding NirK-type nitrite reductase was identified in the genome of “Ca. Jettenia ecosi” J2.
The nitric oxide, produced from nitrite by nitrite reductase NirK, and ammonium taken from the environment, are used by a hydrazine synthase to produce hydrazine (N2H4) (Kartal et al., 2011). The three-gene operon coding for HszABC hydrazine synthase, was found in “Ca. Jettenia ecosi” J2. The final step of the anammox process, the oxidation of hydrazine with the production of gaseous N2, is catalyzed by octahaem hydrazine dehydrogenase (HDH) (Kartal et al., 2011).
Interconversion of nitrate and nitrite could be enabled by a nitrate reductase. The genome of “Ca. Jettenia ecosi” J2 contained genes for subunits alpha, beta and gamma of NarGHI-type nitrate reductase and nearly located gene encoding chaperone protein TorD. Although nitrate reductase typically reduces nitrate to nitrite, it was proposed that in anammox bacteria it runs in the reverse direction and performs the oxidation of nitrite to nitrate, providing the reducing equivalents for CO2 fixation (Jetten et al., 2009). However, recent studies of Ca. K. stuttgartiensis culture grown in bioreactor supplied with ammonium and NO as the only substrates suggested that the low potential electrons released from hydrazine oxidation to N2 are directed to cell carbon fixation, while nitrite oxidation to nitrate and nitrite reduction to NO are probably coupled to one another (Hu et al., 2019).
The presence of nitrate reductase suggests that “Ca. Jettenia ecosi” J2 could reduce nitrate to nitrite followed by the dissimilatory reduction of nitrite to ammonium by the NrfAH cytochrome c nitrite reductase encoded in the genome, as it was shown for purified Ca. K. stuttgartiensis cells (Kartal et al., 2007). The products of this pathway, nitrite and ammonium, may in turn drive the anammox process. An overview of predicted metabolic pathways of “Ca. Jettenia ecosi” J2 is shown in Figure 4.
Other Important Metabolic Pathways of the J2 Bacterium
Anammox bacteria are able to grow autotrophically and perform carbon fixation via the Wood–Ljungdahl pathway (Schouten et al., 2004). Consistently, a complete set of genes encoding the enzymes of this pathway, is present in “Ca. Jettenia ecosi” J2 genome, namely formate dehydrogenase, formate-tetrahydrofolate ligase, methylenetetrahydrofolate dehydrogenase/methenyltetrahydrofolate cyclohydrolase, 5,10-methylenetetrahydrofolate reductase, 5-methyltetrahydrofolate:- corrinoid iron–sulfur protein methyltransferase, and the carbon monoxide dehydrogenase/acetyl-CoA synthase complex.
The major electron transport chain components were identified in the “Ca. Jettenia ecosi” J2 genome, namely translocating NADH-dehydrogenase complex, Rieske-heme b complexes (R/b; bc1 complexes), and an F0F1-type H+-transporting ATPase. The transmembrane ion gradient could be also generated by a Na+-translocating NADH-quinone oxidoreductase, Na-NQR, identified as the main ion pump in different pathogenic and free-living bacteria (Reyes-Prieto et al., 2014). An operon coding for all six subunits of this complex (NqrA-F, with fused D and E subunits) was found in the genome. The genome also contained a genes encoding membrane-bound ion-transporting complex Rnf, evolutionary related to Na-NQR. This complex could act as an energy-conserving ferredoxin: NAD+ oxidoreductase coupling oxidation of ferredoxin to NAD+ reduction and translocation of Na+ ions or protons or sodium ions across the membrane (Biegel et al., 2011). The presence of above mentioned ion-translocating complexes in Ca. K. stuttgartiensis cell was recently detected by proteomics-based complexome profiling (de Almeida et al., 2016).
The presence of a complete Embden-Meyerhof pathway (EMP) of glycolysis and downstream enzymes, pyruvate-flavodoxin oxidoreductase, and acetate kinase, suggested that J2 bacterium could be capable of fermentation of carbohydrates with the concomitant generation of ATP. Acetyl-CoA could be also produced from acetate by ADP-forming acetyl-CoA synthetase. In course of autotrophic growth the EMP operates in the direction of gluconeogenesis, consistently with the presence of phosphoenolpyruvate synthase and fructose-1,6-bisphosphatase. This pathway is probably also involved in the synthesis and degradation of storage polysaccharides, trehalose and glycogen. Enzymes of two pathways of trehalose synthesis were encoded: the trehalose synthase TreS, and two enzymes of the TreYZ pathway, malto-oligosyltrehalose synthase TreY and trehalohydrolase TreZ. A set of enzymes required for glycogen synthesis and hydrolysis is encoded as well, including glycogen synthase, branching and debranching enzymes, and glycogen phosphorylases. Genome analysis revealed no carbohydrate-active enzymes that carry N-terminal signal peptides indicating their involvement in the extracellular hydrolysis of polysaccharides. However, the presence of a maltose/maltodextrin ABC transporter suggests the possibility that these carbohydrates could be imported from the environment and support heterotrophic growth.
Genome analysis revealed two [NiFe] hydrogenases indicating that hydrogen turnover could play important role in metabolism. The first belongs to group 3b of cytosolic bidirectional hydrogenases that couples oxidation of NADPH to evolution of H2 (Greening et al., 2016). The second enzyme is a multisubunit membrane-linked group 4f respiratory H2-evolving hydrogenase. Such enzymes can form respiratory complex that couples oxidation of formate to proton reduction and translocate protons across the membrane through the antiporter-like subunits thus conserving energy in the form of proton gradient (Greening et al., 2016). Formate could be generated in the Wood–Ljungdahl pathway in course of the autotrophic growth or acquired from the environment.
Genome Comparison of “Ca. Jettenia ecosi” and “Ca. Jettenia caeni”
Pairwise genome comparisons of “Ca. Jettenia ecosi” and “Ca. Jettenia caeni” revealed that 2796 of 3914 protein-coding genes of “Ca. Jettenia ecosi” are also present in “Ca. Jettenia caeni.” Among 1118 genes specific to “Ca. Jettenia ecosi” most were annotated as encoding hypothetical proteins (956), components of restriction-modification systems (20) and CRISPR-associated proteins (10). A notable difference between two genomes that could impact the metabolic properties is the absence in “Ca. Jettenia caeni” of approximately 40 kb long fragment present in “Ca. Jettenia ecosi” (genes JETT_0044-JETT_0074). This region comprised several genes important for the glycolysis and downstream pathways, including class II fructose-bisphosphate aldolase, glucose-6-phosphate isomerase and acetate kinase. Homologs of these genes are present in the genomes of Ca. Brocadia sp. and other Planctomycetes. Since the flanking regions are collinear in the genomes of “Ca. Jettenia ecosi” and “Ca. Jettenia caeni,” this gene cluster has been probably lost in “Ca. Jettenia caeni.”
Microbial Community Composition Revealed by 16S rRNA Data
Numerous studies of anammox bioreactors revealed complex microbial communities comprising, in addition to dominant anammox planctomyctes, a number of such physiological groups, as fermentative bacteria, nitrifiers, denitrifiers, methanogens, and others (Hu et al., 2012; Gonzalez-Martinez et al., 2015a; Speth et al., 2016; Mardanov et al., 2017; Park et al., 2017; Zhao Y. et al., 2018). In order to get deeper insights into microbial community composition and reveal minor community members for which MAGs were not assembled, we analyzed raw pyrosequencing reads. Mapping of the raw reads to the RDP database revealed 881 reads representing the 16S rRNA gene fragments, of which 798 were taxonomically assigned. Planctomycetes accounted for 61.2% of the assigned reads and were mostly represented by the family “Candidatus Brocadiaceae” (55.8%). The search for 16S rRNA sequences in metagenomic contigs revealed, in addition to the dominant “Ca. Jettenia ecosi” J2, two other anammox planctomycetes present in minor amounts – “Candidatus Kuenenia stuttgartiensis” (100% identity of 16S rRNA gene sequences) and “Candidatus Brocadia sp. 40” (97% identity). Two other 16S rRNA sequences of Planctomycetes found in the contigs were assigned to the non-anammox order Phycisphaerales. The same lineages were identified as a result of metagenome binning.
The second most abundant group was the phylum Ignavibacteriae (14.2% of the assigned reads). Proteobacteria accounted for 15.2% of the assigned reads and mostly belonged to classes beta (11.2%) and gamma (3.2%). Four beta-proteobacterial 16S rRNA sequences found in the contigs were assigned to the genera Comamonas, Zhizhongheella, Dechlorobacter, and Denitratisoma. The presence of the latter two species suggests that the processes of dissimilatory reduction of perchlorate compounds and nitrate could play an important role in the anammox reactor. Gamma-proteobacteria belong to the genera Pseudomonas and Thermomonas, metabolically versatile heterotrophic bacteria. Other abundant community members belong to the Chloroflexi of the class Anaerolinea (4.3% of reads), the phylum Armatimonadetes (2.1%), and Firmicutes (1.3%). Methanogenic archaea, often present in anammox bioreactors (Hu et al., 2012), were not found.
Discussion
The structure of the microbial community of lab-scale bioreactors based on the anammox process is usually rather complex and includes numerous phylotypes of microorganisms. They are connected with each other by complex and, in most cases, poorly understood relations. However, recent metagenomic and metatranscriptomic studies reveal the existence of a core microbiome in the microbial communities of anammox-based bioreactors, which is shown to be similar in various types of reactor despite differences in reactor operation and influent wastewater composition (Gonzalez-Martinez et al., 2015b; Speth et al., 2016; Lawson et al., 2017). According to metatranscriptomic studies, most of the heterotrophic members of the community are involved in N-cycle processes and can carry out partial denitrification (Speth et al., 2016; Lawson et al., 2017).
Metagenomic analysis of anammox granules revealed complex microbial community dominated by anammox Planctomycetes and also containing members of Ignavibacteriae, Chloroflexi, Proteobacteria, and Armatimonadetes and non-anammox Planctomycetes. Although usually either Ca. Brocadia or Ca. Kuenenia dominated in lab-scale anammox bioreactors (Hu et al., 2010; Park et al., 2010) and often out-competed Ca. Jettenia (Zhao et al., 2019), we detected the presence of all three anammox species and the dominance of “Ca. Jettenia ecosi” J2. It is possible that relatively stable operation conditions and high nitrogen load are more favorable for Ca. Jettenia since Ca. Brocadia was shown to out-compete it at low nitrogen concentrations (Zhao et al., 2019).
Genome analysis of “Ca. Jettenia ecosi” J2 revealed metabolic pathways, related to anammox reactions and autotrophic carbon fixation, previously reported for “Ca. Jettenia asiatica” (Hu et al., 2012) and other anammox Planctomycetes (reviewed in Kartal et al., 2013 and Kartal and Keltjens, 2016). In addition, this analysis suggested that “Ca. Jettenia ecosi” could grow heterotrophically. The presence of acetyl-CoA synthetase and nitrate/nitrite reductases indicated the possibility of respiratory ammonification with oxidation of acetate, as observed for “Ca. Jettenia caeni” (Ali et al., 2015). Genome encodes all the enzymes required for the synthesis and degradation of storage polysaccharides that could be used for fermentative metabolism in the absence of substrates for anammox process. Moreover, the finding of sugar ABC-type transporters suggests that “Ca. Jettenia ecosi” could obtain sugars from the environment. Acetate and hydrogen could be produced in course of fermentative growth.
The second most numerous bacterial lineage, the phylum Ingavibacteriae, is omnipresent in anammox bioreactors (Li et al., 2009; Park et al., 2010; Gonzalez-Gil et al., 2015; Gonzalez-Martinez et al., 2015a, b; Speth et al., 2016) and were considered as protein degraders, catabolizing extracellular peptides while reducing nitrate to nitrite (Lawson et al., 2017). The dominant member of this phylum, MGE-1, was phylogenetically close to Ignavibacteriales bacterium UTCHB2, identified in an anammox bioreactor by Lawson et al. (2017). Genome analysis of MGE-1 bacterium suggested that it can grow heterotrophically, reducing nitrate to nitrite and then nitrite to ammonia thus providing substrates for anammox bacteria. Filamentous bacteria of the phylum Chloroflexi usually account for a significant part of the microbial community of anammox-based bioreactors (Kindaichi et al., 2012; Chu et al., 2015; Wang et al., 2017) and were also detected in this study both by metagenomics and FISH analysis (Figures 2A,B). It is hypothesized that in anammox bioreactor communities Chloroflexi are involved in the degradation of organics from dead cells, or they can be involved in the synthesis or degradation of extracellular polymeric matrix (Ni et al., 2012; Speth et al., 2016; Zhao Y. et al., 2018). Due to their filamentous structure, they play an important role in the formation of biofilms (Kindaichi et al., 2012; Zhao Y. et al., 2018). Genome analysis of Chloroflexi bacterium MGE-11 revealed that, like Ignavibacteriales bacterium MGE-1, this species could grow heterotrophically and perform dissimilatory reduction of nitrate and nitrite. In addition MGE-11 has the capacities to reduce nitrite to NO, therefore performing the first step of an anammox process. Interestingly, both MGE-1 and MGE-11 genomes encoded the nitrous oxide reductase responsible for reduction of N2O to N2. Nitrous oxide could be produced from NO by the nitric oxide reductase. The corresponding genes were not found in these genomes but could be present in other community members, for example, Proteobacteria and Bacteroidetes (Lawson et al., 2017).
The results of FISH complemented the metagenomic studies since metagenomics cannot substitute for the information that can be gained by visualizing the identity and activity of single microbial cell in situ. Moreover, in frame of the present study metagenomics was unable to reveal minor members of the community due to limited sequencing volume. In some cases, even populations of a relative abundance of 1 in 1,000 cells can be accurately quantified (Amann and Fuchs, 2008). Several important microbial minor groups were detected and visualized only by FISH, – members of the genera Nitrosomonas (beta-proteobacteria), Nitrospina (phylum Nitrospinae), Nitrospira (phylum Nitrospirae), and methanogenic archaea.
Members of the genus Nitrosomonas were reported to coexist with anammox bacteria in bioreactor communities, the numbers of which were shown to decrease with the growth in the size of granules (Dosta et al., 2015; Gonzalez-Martinez et al., 2015b; Liu et al., 2017). Clusters of cells, hybridized with probe NSE1472, are about 7-10 μm in diameter, densely packed and morphologically resemble clusters of AOB cells discovered in MBBR with partial nitritation-anammox (Almstrand et al., 2014; Persson et al., 2017).
NOB were rarely detected in anammox bioreactors with microaerophilic or anaerobic conditions since they are more sensitive than AOB to lack of aeration (Dosta et al., 2015; Speth et al., 2016). However, in some cases NOB occur in anammox bioreactors even under anaerobic conditions (Liu et al., 2017), mainly members of the genus Nitrospira which were shown to carry out the commamox process (van Kessel et al., 2015; Mardanov et al., 2016).
Obligate anaerobes, methanogenic archaea of the class Methanomicrobia, were also present in the community. According to previous studies, methanogenes exist even in bioreactors operated under microaerophilic conditions or in two-stage reactors with alternating aerobic-anaerobic conditions (Gonzalez-Gil et al., 2015; Pereira et al., 2017). In our case, the core parts of the granules provide suitable conditions (the absence of oxygen) for members of Methanomicrobia to exist.
Data Availability Statement
Metagenomic read data were deposited in the Sequence Read Archive (SRA) under the accession number SRR8953774. The annotated genome sequence of “Candidatus Jettenia ecosi J2” has been deposited in the GenBank database under accession number SULG00000000 (https://www.ncbi.nlm.nih.gov/nuccore/SULG00000000).
Author Contributions
AM and AB performed methagenomic studies – methagenome sequencing and assembly, contig binning, and analysis of the composite genome of the anammox bacterium. EB and YL performed anammox bioreactor operation and conducted chemical analyses, bacteria sampling, and FISH analysis and microscopy. AN and NR edited the final draft of the manuscript and were responsible for the general direction of the work and development of general strategies. All authors equally participated in the manuscript writing and discussion.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Funding. This work was supported by the Ministry of Education and Science of the Russian Federation under FCP program No. 14.604.21.0190 (unique identifier RFMEFI60417X0190).
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2019.02442/full#supplementary-material
References
- Ali M., Oshiki M., Awata T., Isobe K., Kimura Z., Yoshikawa H., et al. (2015). Physiological characterization of anaerobic ammonium oxidizing bacterium ‘candidatus jettenia caeni’. Environ. Microbiol. 17 2172–2189. 10.1111/1462-2920.12674 [DOI] [PubMed] [Google Scholar]
- Almstrand R., Persson F., Daims H., Ekenberg M., Christensson M., Wilén B. M., et al. (2014). Three-dimensional stratification of bacterial biofilm populations in a moving bed biofilm reactor for nitritation-anammox. Int. J. Mole. Sci. 15 2191–2206. 10.3390/ijms15022191 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Alneberg J., Bjarnason B. S., de Bruijn I., Schirmer M., Quick J., Ijaz U. Z., et al. (2014). Binning metagenomic contigs by coverage and composition. Nat. Methods 11 1144–1146. 10.1038/nmeth.3103 [DOI] [PubMed] [Google Scholar]
- Amann R., Fuchs B. M. (2008). Single-cell identification in microbial communities by improved fluorescence in situ hybridization techniques. Nat. Rev. Microbiol. 6 339–348. 10.1038/nrmicro1888 [DOI] [PubMed] [Google Scholar]
- Amann R. I., Binder B. J., Olson R. J., Chisholm S. W., Devereux R., Stahl D. A. (1990). Combination of 16S rRNA-targeted oligonucleotide probes with flow cytometry for analyzing mixed microbial populations. Appl. Environ. Microbiol. 56 1919–1925. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Biegel E., Schmidt S., González J. M., Müller V. (2011). Biochemistry, evolution and physiological function of the Rnf complex, a novel ion-motive electron transport complex in prokaryotes. Cell Mol. Life Sci. 68 613–634. 10.1007/s00018-010-0555-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Botchkova E. A., Litti Y. V., Kuznetsov B. B., Nozhevnikova A. N. (2014). Microbial biofilms formed in a laboratory-scale anammox bioreactor with flexible brush carrier. J. Biomater. Nanobiotechnol. 5 76–82. 10.4236/jbnb.2014.52010 [DOI] [Google Scholar]
- Botchkova E. A., Litti Y. V., Novikov A. A., Grouzdev D. S., Bochkareva E. S., Beskorovayny A. V., et al. (2018). Description of “candidatus jettenia ecosi” sp. nov., a new species of anammox bacteria. Microbiology 87 766–776. 10.1134/s002626171806005x [DOI] [Google Scholar]
- Bowers R. M., Kyrpides N. C., Stepanauskas R., Harmon-Smith M., Doud D., Reddy T. B. K., et al. (2017). Minimum information about a single amplified genome (MISAG) and a metagenome-assembled genome (MIMAG) of bacteria and archaea. Nat. Biotechnol. 35 725–731. 10.1038/nbt.3893 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brettin T., Davis J. J., Disz T., Edwards R. A., Gerdes S., Olsen G. J., et al. (2015). RASTtk: a modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes. Sci. Rep. 5:8365. 10.1038/srep08365 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cao Y., van Loosdrecht M. C., Daigger G. T. (2017). Mainstream partial nitritation–anammox in municipal wastewater treatment: status, bottlenecks, and further studies. Appl. Microbiol. Biotechnol. 101 1365–1383. 10.1007/s00253-016-8058-7 [DOI] [PubMed] [Google Scholar]
- Chini A., Bolsan A. C., Hollas C. E., Antes F. G., Fongaro G., Treichel H., et al. (2019). Evaluation of deammonification reactor performance and microrganisms community during treatment of digestate from swine sludge CSTR biodigester. J. Environ. Manage. 246 19–26. 10.1016/j.jenvman.2019.05.113 [DOI] [PubMed] [Google Scholar]
- Cho K., Choi M., Jeong D., Lee S., Bae H. (2017). Comparison of inoculum sources for long-term process performance and fate of ANAMMOX bacteria niche in poly (vinyl alcohol)/sodium alginate gel beads. Chemosphere 185 394–402. 10.1016/j.chemosphere.2017.06.123 [DOI] [PubMed] [Google Scholar]
- Chu Z., Wang K., Li X., Zhu M., Yang L., Zhang J. (2015). Microbial characterization of aggregates within a one-stage nitritation–anammox system using high-throughput amplicon sequencing. Chem. Eng. J. 262 41–48. 10.1016/j.cej.2014.09.067 [DOI] [Google Scholar]
- Cole J. R., Wang Q., Fish J. A., Chai B., McGarrell D. M., Sun Y., et al. (2014). Ribosomal database project: data and tools for high throughput rRNA analysis. NucleicAcids Res. 42 D633–D642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Conroy M. J., Durand A., Lupo D., Li X. D., Bullough P. A., Winkler F. K., et al. (2007). The crystal structure of the Escherichia coli AmtB-GlnK complex reveals how GlnK regulates the ammonia channel. Proc. Natl. Acad. Sci. U.S.A. 104 1213–1218. 10.1073/pnas.0610348104 [DOI] [PMC free article] [PubMed] [Google Scholar]
- de Almeida N. M., Wessels H. J., de Graaf R. M., Ferousi C., Jetten M. S., Keltjens J. T., et al. (2016). Membrane-bound electron transport systems of an anammox bacterium: a complexome analysis. Biochim. Biophys. Acta 1857 1694–1704. 10.1016/j.bbabio.2016.07.006 [DOI] [PubMed] [Google Scholar]
- Dosta J., Vila J., Sancho I., Basset N., Grifoll M., Mata-Álvarez J. (2015). Two-step partial nitritation/Anammox process in granulation reactors: start-up operation and microbial characterization. J. Environ. Manag. 164 196–205. 10.1016/j.jenvman.2015.08.023 [DOI] [PubMed] [Google Scholar]
- Gonzalez-Gil G., Sougrat R., Behzad A. R., Lens P. N., Saikaly P. E. (2015). Microbial community composition and ultrastructure of granules from a full-scale anammox reactor. Microb. Ecol. 70 118–131. 10.1007/s00248-014-0546-7 [DOI] [PubMed] [Google Scholar]
- Gonzalez-Martinez A., Osorio F., Rodriguez-Sanchez A., Martinez-Toledo M. V., Gonzalez-Lopez J., Lotti T., et al. (2015a). Bacterial community structure of a lab-scale anammox membrane bioreactor. Biotechnol. Prog. 31 186–193. 10.1002/btpr.1995 [DOI] [PubMed] [Google Scholar]
- Gonzalez-Martinez A., Rodriguez-Sanchez A., Muñoz-Palazon B., Garcia-Ruiz M. J., Osorio F., van Loosdrecht M. C., et al. (2015b). Microbial community analysis of a full-scale DEMON bioreactor. Bioprocess Biosyst. Eng. 38 499–508. 10.1007/s00449-014-1289-z [DOI] [PubMed] [Google Scholar]
- Greening C., Biswas A., Carere C. R., Jackson C. J., Taylor M. C., Stott M. B., et al. (2016). Genomic and metagenomic surveys of hydrogenasedistribution indicate H2 is a widely utilised energy source for microbial growthand survival. ISME J. 10 761–777. 10.1038/ismej.2015.153 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hira D., Toh H., Migita C. T., Okubo H., Nishiyama T., Hattori M., et al. (2012). Anammox organism KSU-1 expresses a NirK-type copper-containing nitrite reductase instead of a NirS-type with cytochrome cd1. FEBS Lett. 586 1658–1663. 10.1016/j.febslet.2012.04.041 [DOI] [PubMed] [Google Scholar]
- Hu B. L., Zheng P., Tang C. J., Chen J. W., van der Biezen E., Zhang L., et al. (2010). Identification and quantification of anammox bacteria in eight nitrogen removal reactors. Water Res. 44 5014–5020. 10.1016/j.watres.2010.07.021 [DOI] [PubMed] [Google Scholar]
- Hu Z., Speth D. R., Francoijs K. J., Quan Z. X., Jetten M. (2012). Metagenome analysis of a complex community reveals the metabolic blueprint of anammox bacterium “candidatus jettenia asiatica”. Front. Microbiol. 3:366. 10.3389/fmicb.2012.00366 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hu Z., Wessels H. J. C. T., van Alen T., Jetten M. S. M., Kartal B. (2019). Nitric oxide-dependent anaerobic ammonium oxidation. Nat. Commun. 10:1244. 10.1038/s41467-019-09268-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jain C., Rodriguez-R L. M., Phillippy A. M., Konstantinidis K. T., Aluru S. (2018). High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries. Nat. Commun. 9:5114. 10.1038/s41467-018-07641-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jetten M. S., van Niftrik L., Strous M., Kartal B., Keltjens J. T., Op den Camp H. J. (2009). Biochemistry and molecular biology of anammox bacteria. Crit. Rev. Biochem. Mol. Biol. 44 65–84. 10.1080/10409230902722783 [DOI] [PubMed] [Google Scholar]
- Kadnikov V. V., Mardanov A. V., Podosokorskaya O. A., Gavrilov S. N., Kublanov I. V., Beletsky A. V., et al. (2013). Genomic analysis of Melioribacter roseus, facultatively anaerobic organotrophic bacterium representing a novel deep lineage within bacteriodetes/chlorobi group. PLoS One. 8:e53047. 10.1371/journal.pone.0053047 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kartal B., de Almeida N. M., Maalcke W. J., Op den Camp H. J., Jetten M. S., Keltjens J. T. (2013). How to make a living from anaerobic ammonium oxidation. FEMS Microbiol. Rev. 37 428–461. 10.1111/1574-6976.12014 [DOI] [PubMed] [Google Scholar]
- Kartal B., Keltjens J. T. (2016). Anammox biochemistry: a tale of heme c proteins. Trends Biochem. Sci. 41 998–1011. 10.1016/j.tibs.2016.08.015 [DOI] [PubMed] [Google Scholar]
- Kartal B., Kuenen J. V., Van Loosdrecht M. C. M. (2010). Sewage treatment with anammox. Science 328 702–703. 10.1126/science.1185941 [DOI] [PubMed] [Google Scholar]
- Kartal B., Kuypers M. M., Lavik G., Schalk J., Op den Camp H. J., Jetten M. S., et al. (2007). Anammox bacteria disguised as denitrifiers: nitrate reduction to dinitrogen gas via nitrite and ammonium. Environ. Microbiol. 9 635–642. 10.1111/j.1462-2920.2006.01183.x [DOI] [PubMed] [Google Scholar]
- Kartal B., Maalcke W. J., de Almeida N. M., Cirpus I., Gloerich J., Geerts W., et al. (2011). Molecular mechanism of anaerobic ammonium oxidation. Nature 479 127–130. 10.1038/nature10453 [DOI] [PubMed] [Google Scholar]
- Kindaichi T., Yuri S., Ozaki N., Ohashi A. (2012). Ecophysiological role and function of uncultured chloroflexi in an anammox reactor. Water Sci. Technol. 6 2556–2561. 10.2166/wst.2012.479 [DOI] [PubMed] [Google Scholar]
- Konstantinidis K. T., Rosselló-Móra R., Amann R. (2017). Uncultivated microbes in need of their own taxonomy. ISME J. 11 2399–2406. 10.1038/ismej.2017.113 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Konstantinidis K. T., Tiedje J. M. (2005). Genomic insights that advance the species definition for prokaryotes. Proc. Natl Acad. Sci. U.S.A. 102 2567–2572. 10.1073/pnas.0409727102 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lawson C. E., Wu S., Bhattacharjee A. S., Hamilton J. J., McMahon K. D., Goel R., et al. (2017). Metabolic network analysis reveals microbial community interactions in anammox granules. Nat. Commun. 8:15416. 10.1038/ncomms15416 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li X.-R., Du B., Fu H. X., Wang R. F., Shi J. H., Wang Y., et al. (2009). The bacterial diversity in an anaerobic ammonium-oxidizing (anammox) reactor community. Syst. Appl. Microbiol. 32 278–289. 10.1016/j.syapm.2009.03.002 [DOI] [PubMed] [Google Scholar]
- Lisa J. A., Song B., Tobias C. R., Duernberger K. A. (2014). Impacts of freshwater flushing on anammox community structure and activities in the new river estuary, USA. Aqua. Microb. Ecol. 72 17–31. 10.3354/ame01682 [DOI] [Google Scholar]
- Liu W., Yang D., Chen W., Gu X. (2017). High-throughput sequencing-based microbial characterization of size fractionated biomass in an anoxic anammox reactor for low-strength wastewater at low temperatures. Bioresour. Technol. 231 45–52. 10.1016/j.biortech.2017.01.050 [DOI] [PubMed] [Google Scholar]
- Liu Z., Frigaard N. U., Vogl K., Iino T., Ohkuma M., Overmann J., et al. (2012). Complete genome of ignavibacterium album, a metabolically versatile, flagellated, facultative anaerobe from the phylum chlorobi. Front. Microbiol. 3:185. 10.3389/fmicb.2012.00185 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mardanov A. V., Beletskii A. V., Kallistova A., Kotlyarov R. Y., Nikolaev Y. A., Kevbrina M. V., et al. (2016). Dynamics of the composition of a microbial consortium during start-up of a single-stage constant flow laboratory nitritation/anammox setup. Microbiology 85 681–692. 10.1134/s002626171606014x [DOI] [Google Scholar]
- Mardanov A. V., Beletsky A. V., Nikolaev Y., Kotlyarov R. Y., Kallistova A., Pimenov N. V., et al. (2017). Metagenome of the microbial community of anammox granules in a nitritation/anammox wastewater treatment system. Genom. Announc. 5 e1115–e1117. 10.1128/genomeA.01115-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
- McIlroy S. J., Karst S. M., Nierychlo M., Dueholm M. S., Albertsen M., Kirkegaard R. H., et al. (2016). Genomic and in situ investigations of the novel uncultured chloroflexi associated with 0092 morphotype filamentous bulking in activated sludge. ISME J. 10 2223–2234. 10.1038/ismej.2016.14 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Meier-Kolthoff J. P., Auch A. F., Klenk H.-P., Göker M. (2013). Genome sequence-based species delimitation with confidence intervals and improved distance functions. BMC Bioinformatics 4:60. 10.1186/1471-2105-14-60 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ni B. J., Ruscalleda M., Smets B. F. (2012). Evaluation on the microbial interactions of anaerobic ammonium oxidizers and heterotrophs in anammox Biofilm. Water Res. 46 4645–4652. 10.1016/j.watres.2012.06.016 [DOI] [PubMed] [Google Scholar]
- Nikolaev A., Kozlov M. N., Kevbrina M. V., Dorofeev A. G., Pimenov N. V., Kallistova A. Y., et al. (2015). Candidatus “jettenia moscovienalis” sp. nov., a new species of bacteria carrying out anaerobic ammonium oxidation. Mikrobiology 84 236–243. 10.7868/s002636561502010x [DOI] [PubMed] [Google Scholar]
- Nozhevnikova A. N., Litti Y. V., Nekrasova V. K., Kulichevskaya I. S., Grigoryeva N. V., Kulikov N. I., et al. (2012). Anaerobic ammonium oxidation (anammox) in immobilized activated sludge biofilms during the treatment of weak wastewater. Microbiology 81 25–34. 10.1134/s0026261712010110 [DOI] [Google Scholar]
- Olm M. R., Crits-Christoph A., Diamond S., Lavy A., Carnevali P. B. M., Banfield J. F. (2019). Consistent Metagenome-Derived Metrics Verify and Define Bacterial Species Boundaries biorxiv. [Preprint]. 10.1101/647511 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Park H., Brotto A. C., van Loosdrecht M. C., Chandran K. (2017). 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. Water Res. 111 265–273. 10.1016/j.watres.2017.01.011 [DOI] [PubMed] [Google Scholar]
- Park H., Rosenthal A., Jezek R., Ramalingam K., Fillos J., Chandran K. (2010). Impact of inocula and growth mode on the molecular microbial ecology of anaerobic ammonia oxidation (anammox) bioreactor communities. Water Res. 44 5005–5013. 10.1016/j.watres.2010.07.022 [DOI] [PubMed] [Google Scholar]
- Parks D. H., Chuvochina M., Waite D. W., Rinke C., Skarshewski A., Chaumeil P. A., Hugenholtz P. (2018). A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life. Nat. Biotechnol. 36 996–1004. 10.1038/nbt.4229 [DOI] [PubMed] [Google Scholar]
- Parks D. H., Imelfort M., Skennerton C. T., Hugenholtz P., Tyson G. W. (2015). CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genom. Res. 25 1043–1055. 10.1101/gr.186072.114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pereira A. D., Cabezas A., Etchebehere C., Chernicharo C. A. D. L., Araújo J. C. D. (2017). Microbial communities in anammox reactors: a review. Environ. Technol. Rev. 6 74–93. 10.1080/21622515.2017.1304457 [DOI] [Google Scholar]
- Persson F., Suarez C., Hermansson M., Plaza E., Sultana R., Wilén B. M. (2017). Community structure of partial nitritation-anammox biofilms at decreasing substrate concentrations and low temperature. Microb. Biotechnol. 10 761–772. 10.1111/1751-7915.12435 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Quan Z. X., Rhee S. K., Zuo J. E., Yang Y., Bae J. W., Park J. R., et al. (2008). Diversity of ammonium-oxidizing bacteria in a granular sludge anaerobic ammonium-oxidizing (anammox) reactor. Environ. Microbiol. 10 3130–3139. 10.1111/j.1462-2920.2008.01642.x [DOI] [PubMed] [Google Scholar]
- Reyes-Prieto A., Barquera B., Juarez O. (2014). Origin and evolution of the sodium-pumping NADH: ubiquinone oxidoreductase. PLoS One 9:e96696. 10.1371/journal.pone.0096696 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rodriguez-R L. M., Konstantinidis K. T. (2016). The enveomics collection: a toolbox for specialized analyses of microbial genomes and metagenomes. PeerJ 4:e1900v1. [Google Scholar]
- Schouten S., Strous M., Kuypers M. M., Rijpstra W. I., Baas M., Schubert C. J., et al. (2004). Stable carbon isotopic fractionations associated with inorganic carbon fixation by anaerobic ammonium-oxidizing bacteria. Appl. Environ. Microbiol. 70 3785–3788. 10.1128/aem.70.6.3785-3788.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sonthiphand P., Hall M. W., Neufeld J. D. (2014). Biogeography of anaerobic ammonia-oxidizing (anammox) bacteria. Front. Microbiol. 5:399. 10.3389/fmicb.2014.00399 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Speth D. R., Zandt M. H., Guerrero-Cruz S., Dutilh B. E., Jetten M. S. M. (2016). Genome-based microbial ecology of anammox granules in a full-scale wastewater treatment system. Nat. Commun. 7 1–10. 10.1038/ncomms11172 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Strous M., Fuerst J. A., Kramer E. H., Logemann S., Muyzer G., van de Pas-Schoonen K. T., et al. (1999). Missing lithotroph identified as new planctomycete. Nature 400:446. 10.1038/22749 [DOI] [PubMed] [Google Scholar]
- Strous M., Pelletier E., Mangenot S., Rattei T., Lehner A., Taylor M. W., et al. (2006). Deciphering the evolution and metabolism of an anammox bacterium from a community genome. Nature 440 790–794. [DOI] [PubMed] [Google Scholar]
- Tamura K., Stecher G., Peterson D., Filipski A., Kumar S. (2013). MEGA6: molecular evolutionary genetics analysis version 6.0. Mole. Biol. Evol. 30 2725–2729. 10.1093/molbev/mst197 [DOI] [PMC free article] [PubMed] [Google Scholar]
- van de Vossenberg J., Woebken D., Maalcke W. J., Wessels H. J., Dutilh B. E., Kartal B., et al. (2013). The metagenome of the marine anammox bacterium ‘Candidatus Scalindua profunda’ illustrates the versatility of this globally important nitrogen cycle bacterium. Environ. Microbiol. 15 1275–1289. 10.1111/j.1462-2920.2012.02774.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- van Kessel M. A., Speth D. R., Albertsen M., Nielsen P. H., den Camp H. J. O., Kartal B., et al. (2015). Complete nitrification by a single microorganism. Nature 528 555–559. 10.1038/nature16459 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang Q., Garrity G. M., Tiedje J. M., Cole J. R. (2007). Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl. Environ. Microbiol. 73 5261–5267. 10.1128/aem.00062-07 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang X. D., Wang Y. Y., Song S. K., Wang W. G., Wu M., Wang D. L. (2017). Impact of salinity on the performance and microbial community of anaerobic ammonia oxidation (Anammox) using 16S rRNA High-throughput Sequencing technology. Glob. Nest J. 19 377–388. 10.30955/gnj.002207 [DOI] [Google Scholar]
- Yang W., He S., Han M., Wang B., Niu Q., Xu Y., et al. (2018). Nitrogen removal performance and microbial community structure in the start-up and substrate inhibition stages of an anammox reactor. J. Biosci. Bioeng. 126 88–95. 10.1016/j.jbiosc.2018.02.004 [DOI] [PubMed] [Google Scholar]
- Ye J., Liu J., Ye M., Ma X., Li Y. Y. (2019). Towards advanced nitrogen removal and optimal energy recovery from leachate: a critical review of anammox-based processes. Crit. Rev. Environ. Sci. Technol. 1–42. 10.1080/10643389.2019.1631989[Epub ahead of print]. [DOI] [Google Scholar]
- Zhao S., Zhuang L., Wang C., Li Y., Wang S., Zhu G. (2018). High-throughput analysis of anammox bacteria in wetland and dryland soils along the altitudinal gradient in qinghai–tibet plateau. MicrobiologyOpen 7 e00556. 10.1002/mbo3.556 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhao Y., Liu S., Jiang B., Feng Y., Zhu T., Tao H., et al. (2018). Genome-centered metagenomics analysis reveals the symbiotic organisms possessing ability to cross-feed with anammox bacteria in anammox consortia. Environ. Sci. Technol. 52 11285–11296. 10.1021/acs.est.8b02599 [DOI] [PubMed] [Google Scholar]
- Zhao Y., Feng Y., Chen L., Niu Z., Liu S. (2019). Genome-centered omics insight into the competition and niche differentiation of ca. jettenia and ca. brocadia affiliated to anammox bacteria. Appl. Microbiol. Biotechnol. 103 8191–8202. 10.1007/s00253-019-10040-9 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Metagenomic read data were deposited in the Sequence Read Archive (SRA) under the accession number SRR8953774. The annotated genome sequence of “Candidatus Jettenia ecosi J2” has been deposited in the GenBank database under accession number SULG00000000 (https://www.ncbi.nlm.nih.gov/nuccore/SULG00000000).