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Article

Tolerance of the Marine Anammox Candidatus Scalindua to High Nitrate Concentrations: Implications for Recirculating Aquaculture Systems

by
Jonathan Armand Charles Roques
1,2,3,*,
Ebuka Unegbu
1,
Naoki Fujii
4,
Amélie Marqué
1,
Federico Micolucci
1,2,
Kristina Snuttan Sundell
1,2,3 and
Tomonori Kindaichi
4,*
1
Department of Biological and Environmental Sciences, University of Gothenburg, P.O. Box 463, SE-405 30 Gothenburg, Sweden
2
Swedish Mariculture Research Center (SWEMARC), University of Gothenburg, P.O. Box 463, SE-405 30 Gothenburg, Sweden
3
Blue Food Center, University of Gothenburg, P.O. Box 463, SE-405 30 Gothenburg, Sweden
4
Department of Civil and Environmental Engineering, Graduate School of Advanced Science and Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashihiroshima JP-739-8527, Japan
*
Authors to whom correspondence should be addressed.
Water 2024, 16(24), 3705; https://doi.org/10.3390/w16243705
Submission received: 30 October 2024 / Revised: 19 December 2024 / Accepted: 20 December 2024 / Published: 22 December 2024
(This article belongs to the Special Issue Advanced Use of Anammox Process in Wastewater Treatment)

Abstract

:

Highlights

  • The anammox process has significant potential to treat nitrogen-rich marine RAS WW.
  • The marine anammox species Ca. Scalindua demonstrated effective treatment of synthetic WW with high NO3 levels typically encountered in RAS, at a laboratory scale.
  • Despite a relative decline in the population over time, Ca. Scalindua remained a key species within the anammox granules and sustained a high nitrogen removal rate over a period of 262 days of exposure to elevated NO3 levels.

Abstract

Recirculating aquaculture systems (RAS) hold significant potential for sustainable aquaculture by providing a stable, controlled environment that supports optimal fish growth and welfare. In RAS, ammonium (NH4+) is biologically converted into nitrate (NO3) via nitrite (NO2) by nitrifying bacteria. As a result, NO3 usually accumulates in RAS and must subsequently be removed through denitrification in full RAS, or by regular water exchanges in partial RAS. The marine anammox bacteria Candidatus Scalindua can directly convert toxic NH4+ and NO2 into harmless nitrogen gas (N2) and has previously been identified as a promising alternative to the complex denitrification process or unsustainable frequent water exchanges in marine RAS. In this study, we evaluated the impact of high NO3 levels typically encountered in RAS on the performance and abundance of Ca. Scalindua in a laboratory-scale bioreactor. The bacterial composition of the granules, including the relative abundance of key nitrogen-cycling taxa, was analyzed along with the functional profile (i.e., NH4+ and NO2 removal efficiencies). For this purpose, a bioreactor was inoculated and fed a synthetic feed, enriched in NH4+, NO2, minerals and trace elements until stabilization (Phase 1, 52 days). NO3 concentrations were then gradually increased to 400 mg·L−1 NO3-N (Phase 2, 52 days), after which the reactor was followed for another 262 days (Phase 3). The reactor maintained high removal efficiencies; 88.0 ± 8.6% for NH4+ and 97.4 ± 1.7% for NO2 in Phase 2, and 95.0 ± 6.5% for NH4+ and 98.6 ± 2.7% for NO2 in Phase 3. The relative abundance of Ca. Scalindua decreased from 22.7% to 10.2% by the end of Phase 3. This was likely due to slower growth of Ca. Scalindua compared to heterotrophic bacteria present in the granule, which could use NO3 as a nitrogen source. Fluorescence in situ hybridization confirmed the presence of a stable population of Ca. Scalindua, which maintained high and stable NH4+ and NO2 removal efficiencies. These findings support the potential of Ca. Scalindua as an alternative filtering technology in marine RAS. Future studies should investigate pilot-scale applications under real-world conditions.

1. Introduction

The global population is predicted to reach 9.7 billion by 2050 [1]. Fish products, which are rich in high-quality protein and nutrients, are ideal food for the growing population [2]. For the past three decades, the aquaculture sector has been widely recognized as an essential food provider [2,3]. However, its intensification raises environmental concerns, including eutrophication from the discharge of nutrient-rich wastewater (WW) [4]. Developing innovative WW treatment techniques is therefore essential to the sustainable growth of this sector [5,6,7,8].
Recirculating aquaculture systems (RAS) are a sustainable alternative to traditional open-cage farming. These land-based closed systems allow for high water reuse and stable conditions for fish farming [9,10,11,12]. In RAS, the ammonium (NH4+) excreted by the fish is converted into nitrite (NO2) and then nitrate (NO3), in the presence of oxygen (O2). As a result, NO3 can slowly accumulate over time and can reach concentrations that could affect the health and welfare of the fish (100–1000 mg·L−1 NO3-N) [10,13,14,15].
Although generally considered the least toxic among the three nitrogenous wastes, high levels of NO3 are toxic to fish and need to be dealt with [13,15,16]. Therefore, it is important for the farmers not to exceed certain levels of NO3 to avoid health and welfare issues. These levels are highly species- and stage-specific. For instance, the health and performance of juvenile rainbow trout (Oncorhynchus mykiss) but of not post-smolt Atlantic salmon (Salmo salar) were affected by chronic levels of up to 100 mg·L−1 NO3-N [14,15]. The feed intake of African catfish (Clarias gariepinus) was impacted by chronic exposure to 379 ± 33 mg·L−1 NO3-N, while juvenile pikeperch (Sander lucioperca) were unaffected when exposed to similar levels [17,18]. Too-high NO3 can be managed through denitrification, the biological conversion of NO3 into nitrogen gas (N2) by denitrifying bacteria in anaerobic conditions, or by regular water exchanges [19,20]. However, denitrification compartments are not always included in RAS, as this process is quite complex. Improper placement in the system may result in the formation and accumulation of intermediate highly toxic compounds, including NO2, nitric oxide (NO) and nitrous oxide (N2O) [21,22]. As a result, a portion of the water must be exchanged regularly in systems lacking denitrification filters, which constitutes the majority of RAS today. In the meantime, alternative WW cleaning pathways are being investigated. Current topics include electrochemical oxidation [23], biochar [24] and anammox [25,26].
The anammox (anaerobic ammonia oxidation) process is a cost-effective and environmentally friendly method of removing nitrogen wastes (NH4+ and NO2) from WW [27]. It is carried out by bacteria belonging to the phylum Planctomycetes and the order Candidatus Brocadiales. Within this order, five genera from two families are currently known to perform the anammox process. Among these, Candidatus Scalindua (hereafter referred to as Ca. Scalindua) is currently the only known marine anammox bacterium [28]. The anammox process is a chemoautotrophic process, where 1 mol of NH4+, the electron donor, is transformed into 1.02 mol of N2 gas using 1.32 mol of NO2 as the electron acceptor [29,30,31]. Anammox requires minimal external carbon and emits fewer greenhouse gases; thus, it has become a globally recognized process over the past three decades [32,33,34,35].
Previous research highlights that the anammox process may already occur naturally in both freshwater and marine RAS, contributing to nitrogen removal in ways that have not yet been fully quantified or understood [36,37,38]. The presence of anammox bacteria in RAS biofilters could potentially explain gaps in nitrogen budgets that cannot be accounted for by nitrification and denitrification alone [39]. However, while anammox reactors have recently shown promising results in pilot-scale freshwater RAS, demonstrating effective nitrogen removal [40], their application in marine RAS remains largely unexplored. Developing such targeted reactors would enable us to harness this process more effectively, providing a sustainable solution to nitrogen management in aquaculture WW.
We have previously demonstrated, at the laboratory scale, the potential of Ca. Scalindua to remove NH4+ and NO2 in marine RAS WW, achieving removal efficiencies over 92% after acclimation [26]. However, we have also shown that the nitrogen removal performance of Ca. Scalindua could be altered by compounds present in the RAS WW, such as NO3 [25]. Therefore, the specific requirements for optimal WW treatment in real RAS conditions using Ca. Scalindua must be identified. The nitrification process in RAS will result in a temporal accumulation of NO3, and while the physiological effects of high NO3 in fish are well documented, the possible impact on the anammox bacteria performance and the bacterial community profile is less clear, especially in marine environments. In freshwater granules dominated by Broccadia spp., 53 mg·L−1 NO3-N can (temporarily) mitigate the toxicity of high NO2 (327 mg·L−1) in the absence of NH4+ as an electron donor [41]. Furthermore, the presence of high NO3 in the media could promote the development of competitive denitrifying bacteria. This could potentially affect the anammox activity and bacterial community in the long term [42]. In a low-strength WW treatment with slightly lower NH4+ (21.7 mg·L−1) and NO2 (25 mg·L−1) loading rates than in our previous experiments, 10 weeks of NO3 accumulation significantly affected the anammox process and bacterial community in freshwater Candidatus Kuenenia stuttgartiensis granules [43]. The same species was also able to degrade close to 50 mg·L−1 NO3-N in batch experiments without an external electron donor, through an internal NO3 reduction process [44]. Thus, the effects of NO3 in freshwater anammox species are complex and not yet fully understood.
When it comes to the marine species Ca. Scalindua, research on this topic is, to the best of our knowledge, currently non-existent. Therefore, it is essential to investigate the impact of high NO3 levels, which are found in real RAS, on Ca. Scalindua activity and bacterial community to validate this process in RAS under real-world conditions.
While previous studies on microbial diversity in RAS have focused on community composition under standard conditions, our study is unique, as it examines the acclimation of Ca. Scalindua to high NO3 levels, a factor which is often overlooked. Using synthetic WW, we isolate the effects of NO3 accumulation on microbial dynamics, providing controlled insights into anammox resilience and adaptability. This research bridges the gap between controlled experimental conditions and the complexities of real RAS, where fluctuating organic matter and feed contaminants present additional challenges.
In the current study, we aimed to fill this knowledge gap by chronically exposing granules containing the marine anammox bacteria Ca. Scalindua to high, realistic concentrations of NO3, mimicking RAS conditions at the laboratory scale. These concentrations, which can reach up to 400 mg·L−1 NO3-N, are known to impact the health and welfare of fish [17,18]. We investigated the effect of these high NO3 levels on the nitrogen removal rate and bacterial community structure of the anammox granule.

2. Materials and Methods

2.1. Reactor Operation

Ca. Scalindua granules were harvested from an up-flow column anammox stock culture that has been operating with a continuous supply of inorganic nutrient media containing NH4+ and NO2 [45] at the University of Hiroshima (Higashihiroshima, Japan) for over 13 years [46,47]. A biomass sample of approximately 5 g (wet weight) was delivered to the University of Gothenburg (Sweden) in August 2019 and used as inoculum to initiate a new culture in a glass column reactor (Ø 50 mm; volume, 325 cm3, KF-30, AS ONE, Tokyo, Japan, Figure 1) with a non-woven fabric sheet as biofilm carrier material (Japan Vilene, Tokyo, Japan). The reactor was maintained at a constant temperature of 28 °C in an incubator (INCU-Line IL 112 Prime incubator, VWR international, Radnor, PA, USA) and fed with synthetic marine WW (salinity, 29‰, Aquaforest, Brzesko, Poland) supplemented with nitrogen (28 mg·L−1 NH4+-N and 34 mg·L−1 NO2-N), inorganic carbon (KHCO3, 1000 mg·L−1), minerals (CaCL2, KH2PO4, MgSO4) and nine trace elements (TE) with EDTA, as described earlier [25,45]. After all the different chemicals were added, the WW feed was flushed with pure N2 gas for at least 30 min to obtain a dissolved O2 concentration below 0.5 mg·L−1. The pH was adjusted to 7.0–7.5 with a solution of glacial sulfuric acid (H2SO4) [45]. The influents were continuously introduced into the reactor using a peristaltic pump (Masterflex L/S Economy Drive, Cole-Parmer Instruments, Vernon Hills, IL, USA).

2.2. Experimental Protocol

On 10 January 2023 (approximately 1230 days after the initial inoculation), 6.5 g of biomass from the stock reactor was inoculated into a new reactor of the same volume as the original inoculum (325 cm3) using a new non-woven fabric sheet of the same type (Japan Vilene, Tokyo, Japan). The reactor was followed for 368 days in three experimental phases.
During Phase 1 (stabilization, days 0–52), the reactor was operated with the same synthetic WW feed supplemented with NH4+, NO2, KHCO3, minerals and TE as was used in previous experiments [25,45]. In Phase 2 (days 53–105), the reactor was subjected to gradually increasing concentrations of NO3, starting from 25 mg·L−1 NO3-N and reaching 400 mg·L−1 NO3-N on day 105. NO3 concentrations were doubled every 9–20 days over this 52-day period. During Phase 3 (days 106–368), the NO3 was kept at 400 mg·L−1 NO3-N without any additional changes. Apart from changes in NO3 (and, consequently, in the nitrogen loading rate), all other environmental parameters—temperature (28 °C), salinity (29‰), O2 (below 0.5 mg·L−1), pH and HRT—remained consistent (Table 1, Figure 2).

2.3. Analytical Methods

The individual removal efficiencies of all the nitrogen compounds, the total nitrogen (TN) loading and removal rates, as well as the HRT (Table 1, Figure 3) were calculated as follows:
Removal efficiency (Nx, %) = [[Influent Nx-N (mg-N·L−1)] − [Effluent Nx-N (mg-N·L−1)]]/[Influent Nx-N (mg-N·L−1)] × 100
where Nx is the desired nitrogen compound among NH4+, NO2, or NO3.
Removal rate (g-TN·L−1·day−1) = [[Influent NX-N (g-N·L−1)] − [Effluent NX-N (g-N·L−1)]] × [Influent volumetric flow rate (L·day−1)]/[Volume of the tank (L)]
where NX is the sum of NH4+, NO2, and NO3.
HRT (h) = Volume of the reactor (L)/Influent volumetric flow rate (L·h−1)
Salinity, O2 and temperature were determined using a conductivity meter portable Multimeter pHenomenal MU 6100 H (VWR international, Radnor, PA, USA). Concentrations of NH4+ were determined using the powder pillow methods (salicylate method, 8155, Hach-Lange, Dusseldorf, Germany), and concentrations of NO2 were determined using the LCK341 kit (Hach-Lange, Dusseldorf, Germany), both using the DR-2800 spectrophotometer (Hach-Lange, Dusseldorf, Germany). NO3 concentrations below 200 mg·L−1 NO3-N were determined using ion-exchange chromatography (HPLC 20A; Shimadzu, Kyoto, Japan) with a Shodex Asahipak NH2P-50 4D anion column (Showa Denko, Tokyo, Japan) and UV-VIS detector (SPD-20AV, Shimadzu, Kyoto, Japan) after filtration of samples through 0.2 μm pore-size PTFE membranes (Advantec, Tokyo, Japan) [48]. Concentrations above 200 mg·L−1 NO3-N were measured using the LCK339 kit and the DR-2800 spectrophotometer (Hach-Lange, Dusseldorf, Germany), after being diluted 200 times to prevent the salinity from interfering with the kit.

2.4. Microbial Community Analysis

Biomass samples for amplicon sequencing were collected at the end of Phase 1, when the reactor was stabilized (day 38), as well as one and two months into Phase 3 (days 139 and 167) and in the final month of the experiment (day 331). DNA was extracted using a FastDNA SPIN kit for soil (MP Biomedicals, Santa Ana, CA, USA). PCR amplification of the bacterial 16S rRNA gene was performed targeting the V3-V4 region using the primer set 341F and 805R, as described earlier [49]. PCR products were purified using the Agencourt AMPure XP system (Beckman Coulter, Brea, CA, USA). Purified DNA was sequenced using a MiSeq platform with a MiSeq reagent kit (v.3, Illumina, San Diego, CA, USA).
Obtained sequences were trimmed and assembled as described previously [50]. Sequence data were analyzed using QIIME 2 Core 2023.2 distribution [51]. Amplicon Sequence Variants (ASVs) were assigned via the SILVA 138.1 database [52]. ASVs that accounted for less than 1% of the total reads were used for bar-plots representation (Figure 4). The sequence data in the present study were deposited in the DNA Data Bank of Japan (DDBJ) database under the DDBJ/EMBL/GenBank under Bioproject ID PRJDB17738 and accession number DRA018222.

2.5. Fluorescence In Situ Hybridization (FISH)

Biomass samples were collected from the up-flow column reactor at the same time-points as for the microbial community analysis (days 38, 139, 167 and 331). Sample fixation and the following FISH procedure were performed as previously described [53]. The probes used for FISH included a mixture of EUB338, II, III, and IV probes labelled with Alexa Fluor 647, which target all bacteria [54,55], and Sca1129b probes labelled with Alexa Fluor 555, which are specific to Ca. Scalindua [47]. Hybridized samples were observed with an AxioImager Z2 epifluorescence microscope with a 100 W HBO lamp (Carl Zeiss, Oberkochen, Germany). Images were obtained using an AxioCam 712 mono camera and AxioVision software, version 4.5 (Carl Zeiss, Oberkochen, Germany).

3. Results

3.1. Reactor Performance

During Phase 1 (stabilization), NH4+ and NO2 removal efficiencies reached around 80–100% after 18 days (Figure 3A), while NO3 exhibited a high negative removal efficiency (i.e., it was produced) of −442.6 ± 412.6%. These values indicate the successful establishment of the anammox process in the new experimental reactor [46]. Once the reactor was stable (from day 19 onwards), the TN loading and removal rates were 0.27 ± 0.04 and 0.22 ± 0.04 g-TN·L−1·day−1 respectively, and the HRT was 5.4 h (Table 1, Figure 3B).
During Phase 2 (days 53–105), NO3 was slowly introduced to the reactor. The TN loading rate slowly increased with increasing NO3 concentrations. High NH4+ and NO2 removal efficiencies were maintained at 88.0 ± 8.6% and 97.4 ± 1.7%, respectively (Figure 3A). The production rate of NO3 was still negative but decreased to −3.5 ± 4.2%. The TN loading rate gradually increased from 0.34 to 1.65 g-TN·L−1·day−1 and the TN removal rate was 0.21 ± 0.02 g-TN·L−1·day−1 on average, with an HRT of 5.8 h (Table 1, Figure 3B).
During Phase 3 (days 106–368), NO3 concentrations were kept constant in the influent. NH4+ and NO2 removal efficiencies continued to be high during this phase as well: 95.0 ± 6.5% and 98.6 ± 2.7%, respectively (Figure 3A). The NO3 removal efficiency was positive during this phase (5.2 ± 6.6%). The TN loading rate was 1.85 ± 0.30 g-TN·L−1·day−1, and the TN removal rate was 0.29 ± 0.08 g-TN·L−1·day−1 (Table 1, Figure 3B). The HRT was slightly increased to 6.2 h (i.e., a slight increase in TN loading rate due to the high NO3 concentrations, as shown in Table 1).
Figure 3. Anammox performance in the reactor. (A) NH4+ (closed diamonds) and NO2 (open triangles) removal efficiencies (%) and expected NO3 concentrations (dotted lines and open circles). (B) Nitrogen loading and removal rates (filled and open circles, respectively). Purple arrows indicate biomass sampling on days 38, 139, 167 and 331.
Figure 3. Anammox performance in the reactor. (A) NH4+ (closed diamonds) and NO2 (open triangles) removal efficiencies (%) and expected NO3 concentrations (dotted lines and open circles). (B) Nitrogen loading and removal rates (filled and open circles, respectively). Purple arrows indicate biomass sampling on days 38, 139, 167 and 331.
Water 16 03705 g003

3.2. Microbial Community Analysis and FISH

A total of 52,097, 56,823, 54,763 and 65,120 non-chimeric reads, along with 169, 289, 235 and 248 ASVs, were obtained from days 38, 139, 167 and 331, respectively. In this study, ASVs that represented more than 1% of the total reads were used for the analysis; ASVs accounting for less than 1% of the total reads were grouped as “Others” (Figure 4). Ca. Scalindua was among the most abundant species in the reactor throughout the different phases (Figure 4). The relative abundances of Ca. Scalindua did not change between the two first time-points. The relative abundance was 22.7% at the end of the stabilization period (day 38) and 22.1% after approximately one month at 400 mg·L−1 NO3-N (day 139). However, the relative abundance of Ca. Scalindua dropped to 13.3% and 10.2% after two and nine months of exposure to high NO3. The population abundance of Ca. Scalindua during all experimental phases was further corroborated by FISH observations (Figure 5).
Figure 4. Microbial community composition at the end of Phase 1 (day 38), and after one, two and nine months of exposure to 400 mg·L−1 NO3-N (days 139, 167 and 331, respectively). Analysis based on 16S rRNA gene amplicon sequencing. Red percentages correspond to the relative abundance of the marine anammox Ca. Scalindua.
Figure 4. Microbial community composition at the end of Phase 1 (day 38), and after one, two and nine months of exposure to 400 mg·L−1 NO3-N (days 139, 167 and 331, respectively). Analysis based on 16S rRNA gene amplicon sequencing. Red percentages correspond to the relative abundance of the marine anammox Ca. Scalindua.
Water 16 03705 g004
Figure 5. FISH micrographs of biomass collected from the reactor on days 38 (A), 139 (B), 167 (C) and 331 (D). FISH analysis utilized the Alexa Fluor 647-labelled EUB338mix probe (cyan) targeting all bacteria, while the Alexa Fluor 555-labelled Sca1129b probe (red) was used specifically for Ca. Scalindua. Ca. Scalindua appears magenta and other bacteria appear blue. Scale bars indicate 10 μm.
Figure 5. FISH micrographs of biomass collected from the reactor on days 38 (A), 139 (B), 167 (C) and 331 (D). FISH analysis utilized the Alexa Fluor 647-labelled EUB338mix probe (cyan) targeting all bacteria, while the Alexa Fluor 555-labelled Sca1129b probe (red) was used specifically for Ca. Scalindua. Ca. Scalindua appears magenta and other bacteria appear blue. Scale bars indicate 10 μm.
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4. Discussion

4.1. Reactor Performance

The marine anammox species used in this study, Ca. Scalindua, was isolated from coastal sediments in Hiroshima bay over 17 years ago [46]. Inoculum from the original samples have been further successfully cultivated in Japan (since 2007) and in Sweden (since 2019), using the protocol developed by van de Graaf and colleagues almost 30 years ago [45].
During the first 52 days of our experiment, we fed the newly inoculated anammox reactor with standard feed in order to maintain the anammox process and achieve a steady state of high removal efficiencies [46,47,53]. Once the removal efficiencies for both NH4+ and NO2 were high and stable (over 80%), we gradually introduced NO3 to the system. We started with 25 mg·L−1 NO3-N and reached 400 mg·L−1 NO3-N after 52 days by doubling the dose every 9–20 days. During this second phase, we maintained high removal efficiencies for both NH4+ and NO2, with averages of 88.0% and 97.4%, respectively. In the third phase, where the NO3 was kept constant at 400 mg·L−1 NO3-N for almost nine months, we continued to observe high removal efficiencies of 95.0% and 98.6% for NH4+ and NO2 respectively. These high values were comparable to those of the original sediment from Hiroshima bay (95% and 99%, respectively) [46]. These results confirm both the successful establishment and maintenance of the anammox process, as well as the effective acclimation of Ca. Scalindua to high NO3 levels typically found in RAS [15,56].
Too-high levels of NH4+ and NO2 are both known to potentially inhibit the anammox process, with a general consensus that the inhibition threshold for NO2 (between 100 and 280 mg·L−1 NO2-N) is lower than the one of NH4+ (over 770 mg·L−1 NH4+-N) [57]. High concentrations of NO3 could also impact the anammox process, as NO3 can also act as alternative electron acceptor [44]. NO2 is more favourable and is preferable to NO3 as electron acceptor under normal conditions, since it yields more energy and its reduction requires fewer enzymatic steps than for NO3 [58]. However, if the concentrations of NO3 are high, the anammox process could prioritize NO3 reduction over NO2 reduction, leading to less efficient nitrogen removal [44,58]. This was not observed in this experiment, where the concentrations of NO3 were approximately twelve times higher than those of NO2 (400 mg·L−1 NO3-N and 34 mg·L−1 NO2-N respectively). Under real RAS conditions, where NO2 is not supplemented and typically remains below 1 mg·L−1 [59], while NO3 levels typically range from 10 to 400 mg·L−1 [10,14,17], the process dynamics may differ and will warrant further investigations. In our experiment, we used synthetic WW enriched with NO2 (34 mg·L−1 NO2-N) to maintain reactor stability, while we tested NO3 concentrations comparable to real RAS conditions. In real RAS, NO2 levels should ideally not exceed 0.1–0.5 mg·L−1 NO2-N [60], resulting in a higher NO3:NO2 ratio. This could influence electron acceptor preference, potentially shifting towards NO3 reduction. It is also important to note that, while our results demonstrate successful acclimation of Ca. Scalindua to high NO3 concentrations, the study was conducted using synthetic WW, which differs from the complex real RAS WW. Real RAS conditions, including fluctuations in organic matter and other nitrogenous compounds, as well as potential contaminants from fish feed (lipids, proteins, and trace metals), may influence reactor performance and microbial community dynamics.

4.2. Microbial Community

Both FISH and microbiological analysis indicated the presence of Ca. Scalindua populations throughout the experiment. Despite a (relative) decrease over time, Ca. Scalindua remained one of the key bacterial phyla in the granules across all three phases.
None of current lineage of anammox bacteria exists as pure culture, but instead cohabit within granules with heterotrophic bacteria [61,62]. Some these heterotrophic bacteria phyla that comprise major component of the granules in this study, including the Planctomycetes, Firmicutes, Proteobacteria, Bacteroidota, Chloroflexi and Acidobacteria, are also generally important components of the microbial community in anammox bioreactors [61,62,63]. Organisms from these phyla can also be major fermentative acidogens under anaerobic and microaerobic environmental conditions in granules [64]. High NO3 concentrations are known to impact bacterial communities in biofilms, resulting in potential biodiversity loss and tendencies towards community simplification [65]. These changes could influence community resilience and metabolic interactions, potentially altering the overall efficiency and stability of the system. One of the notable changes in bacterial community is the initial fluctuation of Firmicutes (Bacillaceae) in the first few months of the experiment, followed by their quasi-disappearance at the end of the experiment. Firmicutes was the dominant phylum at the beginning of the experiment (34.9%). Its disappearance could be attributed to a disturbance by NO3. This was also seen in a previous study where the addition of 25–100 mg·L−1 NO3-N to groundwater led to a decrease in the relative Firmicutes abundance from 87.6% to 54.2%–60.4% [66]. On the other hand, the proportion of Proteobacteria, Bacteroidota (including Flavobacteriaceae), Chloroflexi and Planctomycetes (excluding Ca. Scalindua) gradually increased in the granules over time. Some bacteria from these phyla are capable of using NO3 as an electron acceptor, either through denitrification or NO3 reduction, both in freshwater and marine environments, including RAS [67,68,69]. In addition, the anaerobic heterotrophic Proteobacteria and Bacteroidota such as Flavobacteriaceae could have benefited from the higher NO3 sensitivity of the Firmicutes to outcompete this phylum [69], while some photosynthetic Chloroflexi could have scavenged organic matter from dead Firmicutes or other bacteria to flourish [70].
The exact role of these heterotrophic bacteria in the anammox granule has yet to be uncovered. One study showed that most organisms present in the granules were capable of NO3 respiration, leading to the formation of NO2 [71]. However, the high removal efficiencies (over 97%) of NO2 in our study suggest that this was not the case, as the secondary production of NO2 would lead to NO2 accumulation over time.
Although we noticed a diminution of the relative abundance of Ca. Scalindua in the granule (from around 22% at the beginning of the experiment and one month after reaching high NO3 levels, to 10.2% after almost nine months exposure), the relative proportion of all Planctomycetes (including Ca. Scalindua) increased from 24.5% to 30.6%. The anammox process is known to be driven by bacteria from the phylum Planctomycetes, to which Ca. Scalindua belongs [63,72]. However, the other Planctomycetes identified in this study (Pirellulaceae, OM190) are not known to be able to perform the anammox process, which is specific to the order Brocadiales [73].
We observed a 25% increase in non-chimeric reads and a 47% increase in ASVs between days 38 and 331. The apparent decrease in the relative abundance of Ca. Scalindua over time may simply be due to its slower growth rate compared to other heterotrophic bacteria present in the granules (14.4 days, [53]). These coexisting bacteria could thrive on excess NO3 as their nitrogen source and use metabolic compounds produced by Ca. Scalindua as their carbon source [74]. This hypothesis is supported by the positive removal efficiency of NO3 during this phase and the changes in microbial community with an increase in phylum capable of NO3 removal. FISH results further suggest a stable population of Ca. Scalindua throughout the three experimental phases. Thus, we conclude that the Ca. Scalindua population in the column reactor was sufficient to maintain high nitrogen removal rates, despite its slight reduction in relative abundance within the anammox granule, confirming the granule’s potential for treating RAS WW.
Our analysis provides insights into community shifts but does not resolve the exact metabolic roles of heterotrophic bacteria within the granule. Further studies employing metagenomic or transcriptomic approaches could elucidate the functional contributions of these bacteria, particularly their interactions with anammox organisms under high NO3 conditions. Additionally, quantifying the biomass of anammox organisms and their associated granules would provide valuable information for assessing reactor performance and microbial growth dynamics.

4.3. Future Directions: Scaling Up Ca. Scalindua Applications in RAS

Building on our previous study [26], our work demonstrates the potential of Ca. Scalindua to treat marine RAS WW, at the laboratory scale, highlighting its ability to operate without the need for TE supplementation and its tolerance to high NO3 concentrations. For successful scaling up, further studies must validate the robustness of Ca. Scalindua under real RAS conditions, including transient changes in nitrogen loading rates and operational disturbances typical of commercial systems. Pilot-scale investigations will be crucial to identify key operational parameters, such as resilience to variable influent quality, hydraulic retention times, optimal reactor positioning.
Similarly to traditional denitrification loops in full RAS, an anammox reactor may need to be separated from the rest of the system to ensure optimal anaerobic conditions for Ca. Scalindua [19]. For instance, a two-step SHARON (single-reactor high-activity ammonium removal over nitrite)-anammox process could be employed, where NO2, the dominant final product from the SHARON reactor, is fed to the anaerobic anammox reactor [75]. Alternatively, recent studies have demonstrated the successful enrichment of anammox bacteria and an effective nitrogen removal efficiency (89.4% for TN, 93.1% for NH4+ and 93.5% for NO2) using a pilot-scale up-flow anaerobic sludge blanket (UASB) reactor in freshwater RAS [40]. This UASB reactor, coupling anammox and denitrification, enables stable anammox activity with high nitrogen removal potential could be tested in marine RAS. Finaly, a one-step process in a submerged bed reactor could be used, allowing ammonium-oxidizing bacteria and anammox bacteria to coexist in a low-oxygen environment. In this setup, oxidation of NH4+ to NO2 by ammonium-oxidizing bacteria would maintain low O2 conditions in the reactor, while Ca. Scalindua converts the remaining NH4+ and the newly formed NO2 into N2 [76]. These steps will provide the necessary foundation for designing full-scale systems, but further research must also evaluate their effects on both reactor performance and microbial community composition. Given the slow growth of Ca. Scalindua, ensuring the stability of the granules is critical to prevent them from being outcompeted by faster-growing bacteria in RAS biofilters.

5. Conclusions and Perspectives

This study demonstrated that the anammox activity of Ca. Scalindua granules was not impacted after chronic exposure to high NO3 concentrations that could be observed in RAS under controlled laboratory conditions. Despite the reduction in relative abundance of Ca. Scalindua in the granules, its removal efficiencies for both NH4+ and NO2 remained high and constant throughout the different experimental phases. The relative decrease in abundance is most likely due to the slow growth of this bacteria compared to other heterotrophic bacteria present in the granules. FISH results also suggested a relatively stable presence of Ca. Scalindua throughout the experiment. Therefore, we concluded that the gradual exposure of Ca. Scalindua to high NO3 levels resulted in successful acclimation of the bacteria.
Our study thus suggests that anammox granules containing Ca. Scalindua could be directly applied to treat marine RAS WW as an alternative to the traditional nitrification–denitrification pathway commonly employed in RAS.
However, scaling up to real-case systems could present challenges and is in need of further investigation. Throughout the different experimental phases of this study, optimal culture conditions for Ca. scalindua were maintained, including strict anaerobic conditions and the use of a synthetic WW feed enriched with NH4+ and NO2. Future studies should explore the positioning and the performance of Ca. Scalindua under typical RAS conditions concerning NH4+, NO2 and O2 concentrations. In addition, future research should explore the combined effects of NO3, organic matter and feed by-products on microbial communities and water quality to develop comprehensive WW strategies for RAS. These next steps are essential to validate the application of this bacterium as an alternative treatment technology at a commercial scale in marine RAS.

Author Contributions

Conceptualization: J.A.C.R., F.M. and T.K.; Data curation: J.A.C.R., N.F. and T.K.; Formal analysis: J.A.C.R., N.F., A.M. and T.K.; Funding acquisition: J.A.C.R., K.S.S. and T.K.; Investigation: J.A.C.R., E.U., N.F. and T.K.; Methodology: J.A.C.R., E.U., N.F., A.M. and T.K.; Project administration: J.A.C.R.; Resources: J.A.C.R., K.S.S. and T.K.; Software: N.F. and T.K.; Supervision: J.A.C.R., K.S.S. and T.K.; Validation: J.A.C.R. and T.K.; Visualization: J.A.C.R. and T.K.; Writing—original draft: J.A.C.R.; Writing—review and editing: J.A.C.R., E.U., N.F., A.M., F.M., K.S.S. and T.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was conducted within the frame of the MIRAI project and was supported by FORMAS (2020-00867), The Birgit och Birger Wåhlströms Minnesfond för den bohuslänska havs-och insjömiljön, Stockholm, Sweden, STINT, Stockholm, Sweden (mobility grant for internationalization, MG2019-8483), JSPS KAKENHI Grant Numbers JP20KK0244, JP21K19866, Japan, and JSPS Bilateral Program, Grant number JPJSBP120239926, Japan.

Data Availability Statement

Publicly available datasets were analyzed in this study. The sequence data in the present study were deposited in the DNA Data Bank of Japan (DDBJ) database under the DDBJ/EMBL/GenBank under the DDBJ/EMBL/GenBank under the Bioproject ID PRJDB17738, accession number DRA018222.

Acknowledgments

The authors are grateful to Linda Frank Hasselberg for her technical assistance and Miyuki Roques for the language editing.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. United Nations, Department of Economic and Social Affairs (UN DESA), Population Division. World Population Prospects 2019. 2019. Available online: https://www.un.org/es/desa/world-population-prospects-2019-highlights (accessed on 7 October 2024).
  2. FAO. The State of World Fisheries and Aquaculture (SOFIA) 2022; Food and Agriculture Organization of the United Nations: Rome, Italy, 2022. [Google Scholar]
  3. Béné, C.; Barange, M.; Subasinghe, R.; Pinstrup-Andersen, P.; Merino, G.; Hemre, G.-I.; Williams, M. Feeding 9 billion by 2050–Putting fish back on the menu. Food Secur. 2015, 7, 261–274. [Google Scholar] [CrossRef]
  4. Pahri, S.D.R.; Mohamed, A.F.; Samat, A. LCA for open systems: A review of the influence of natural and anthropogenic factors on aquaculture systems. Int. J. Life Cycle Assess. 2015, 20, 1324–1337. [Google Scholar] [CrossRef]
  5. Martins, C.; Eding, E.H.; Verdegem, M.C.; Heinsbroek, L.T.; Schneider, O.; Blancheton, J.-P.; d’Orbcastel, E.R.; Verreth, J. New developments in recirculating aquaculture systems in Europe: A perspective on environmental sustainability. Aquac. Eng. 2010, 43, 83–93. [Google Scholar] [CrossRef]
  6. Kolarevic, J.; Baeverfjord, G.; Takle, H.; Ytteborg, E.; Reiten, B.K.M.; Nergård, S.; Terjesen, B.F. Performance and welfare of Atlantic salmon smolt reared in recirculating or flow through aquaculture systems. Aquaculture 2014, 432, 15–25. [Google Scholar] [CrossRef]
  7. Padervand, M.; Gholami, M.R. Removal of toxic heavy metal ions from waste water by functionalized magnetic core–zeolitic shell nanocomposites as adsorbents. Environ. Sci. Pollut. Res. 2013, 20, 3900–3909. [Google Scholar] [CrossRef] [PubMed]
  8. Abdelfatah, A.G.; Ali, M.A.; Abdelbary, K.M. Mechanical filtration pretreatment effect on ammonia biofiltration performance indicators in fish aquaculture wastewater. Misr J. Agric. Eng. 2022, 39, 555–570. [Google Scholar] [CrossRef]
  9. Øvrebø, T.K.; Balseiro, P.; Imsland, A.K.D.; Stefansson, S.O.; Tveterås, R.; Sveier, H.; Handeland, S. Investigation of growth performance of post-smolt Atlantic salmon (Salmo salar L.) in semi closed containment system: A big-scale benchmark study. Aquac. Res. 2022, 53, 4178–4189. [Google Scholar] [CrossRef]
  10. Van Rijn, J. Waste treatment in recirculating aquaculture systems. Aquac. Eng. 2013, 53, 49–56. [Google Scholar] [CrossRef]
  11. Ahmed, N.; Turchini, G.M. Recirculating aquaculture systems (RAS): Environmental solution and climate change adaptation. J. Clean. Prod. 2021, 297, 126604. [Google Scholar] [CrossRef]
  12. Ahmad, A.; Abdullah, S.R.S.; Hasan, H.A.; Othman, A.R.; Ismail, N.I. Aquaculture industry: Supply and demand, best practices, effluent and its current issues and treatment technology. J. Environ. Manag. 2021, 287, 112271. [Google Scholar] [CrossRef] [PubMed]
  13. Camargo, J.A.; Alonso, A.; Salamanca, A. Nitrate toxicity to aquatic animals: A review with new data for freshwater invertebrates. Chemosphere 2005, 58, 1255–1267. [Google Scholar] [CrossRef] [PubMed]
  14. Davidson, J.; Good, C.; Williams, C.; Summerfelt, S.T. Evaluating the chronic effects of nitrate on the health and performance of post-smolt Atlantic salmon Salmo salar in freshwater recirculation aquaculture systems. Aquac. Eng. 2017, 79, 1–8. [Google Scholar] [CrossRef]
  15. Davidson, J.; Good, C.; Welsh, C.; Summerfelt, S.T. Comparing the effects of high vs. low nitrate on the health, performance, and welfare of juvenile rainbow trout Oncorhynchus mykiss within water recirculating aquaculture systems. Aquac. Eng. 2014, 59, 30–40. [Google Scholar] [CrossRef]
  16. Eddy, F.B.; Williams, E. Nitrite and freshwater fish. Chem. Ecol. 1987, 3, 1–38. [Google Scholar] [CrossRef]
  17. Schram, E.; Roques, J.A.C.; Abbink, W.; Yokohama, Y.; Spanings, T.; de Vries, P.; Bierman, S.; van de Vis, H.; Flik, G. The impact of elevated water nitrate concentration on physiology, growth and feed intake of African catfish Clarias gariepinus (Burchell 1822). Aquac. Res. 2014, 45, 1499–1511. [Google Scholar] [CrossRef]
  18. Schram, E.; Roques, J.A.C.; van Kuijk, T.; Abbink, W.; van De Heul, J.; de Vries, P.; Bierman, S.; van de Vis, H.; Flik, G. The impact of elevated water ammonia and nitrate concentrations on physiology, growth and feed intake of pikeperch (Sander lucioperca). Aquaculture 2014, 420, 95–104. [Google Scholar] [CrossRef]
  19. Preena, P.G.; Rejish Kumar, V.J.; Singh, I.S.B. Nitrification and denitrification in recirculating aquaculture systems: The processes and players. Rev. Aquac. 2021, 13, 2053–2075. [Google Scholar] [CrossRef]
  20. Chen, S. Recirculating Systems Effluents and Treatments; Aquaculture and the Environment in the United States; World Aquaculture Society: Baton Rouge, LA, USA, 2002; pp. 119–140. [Google Scholar]
  21. Stavrakidis-Zachou, O.; Ernst, A.; Steinbach, C.; Wagner, K.; Waller, U. Development of denitrification in semi-automated moving bed biofilm reactors operated in a marine recirculating aquaculture system. Aquac. Int. 2019, 27, 1485–1501. [Google Scholar] [CrossRef]
  22. Hu, Z.; Lee, J.W.; Chandran, K.; Kim, S.; Khanal, S.K. Nitrous oxide (N2O) emission from aquaculture: A review. Environ. Sci. Technol. 2012, 46, 6470–6480. [Google Scholar] [CrossRef] [PubMed]
  23. Ben-Asher, R.; Gendel, Y.; Lahav, O. Electrochemical applications in RAS: A review. Rev. Aquac. 2024, 16, 86–105. [Google Scholar] [CrossRef]
  24. Paul, D.; Hall, S.G. Biochar and zeolite as alternative biofilter media for denitrification of aquaculture effluents. Water 2021, 13, 2703. [Google Scholar] [CrossRef]
  25. Roques, J.A.C.; Micolucci, F.; Hosokawa, S.; Sundell, K.; Kindaichi, T. Effects of recirculating aquaculture system wastewater on anammox performance and community structure. Processes 2021, 9, 1183. [Google Scholar] [CrossRef]
  26. Micolucci, F.; Roques, J.A.C.; Ziccardi, G.S.; Fujii, N.; Sundell, K.; Kindaichi, T. Candidatus Scalindua, a Biological Solution to Treat Saline Recirculating Aquaculture System Wastewater. Processes 2023, 11, 690. [Google Scholar] [CrossRef]
  27. Kartal, B.; van Niftrik, L.; Keltjens, J.T.; den Camp, H.J.O.; Jetten, M.S. Anammox—Growth physiology, cell biology, and metabolism. Adv. Microb. Physiol. 2012, 60, 211–262. [Google Scholar]
  28. Zhao, R.; Biddle, J.F.; Jørgensen, S.L. Introducing Candidatus Bathyanammoxibiaceae, a family of bacteria with the anammox potential present in both marine and terrestrial environments. ISME Commun. 2022, 2, 42. [Google Scholar] [CrossRef] [PubMed]
  29. Dapena-Mora, A.; Campos, J.; Mosquera-Corral, A.; Jetten, M.; Méndez, R. Stability of the ANAMMOX process in a gas-lift reactor and a SBR. J. Biotechnol. 2004, 110, 159–170. [Google Scholar] [CrossRef] [PubMed]
  30. Strous, M.; Kuenen, J.G.; Jetten, M.S. Key physiology of anaerobic ammonium oxidation. Appl. Environ. Microbiol. 1999, 65, 3248–3250. [Google Scholar] [CrossRef]
  31. Strous, M.; Heijnen, J.; Kuenen, J.G.; Jetten, M. The sequencing batch reactor as a powerful tool for the study of slowly growing anaerobic ammonium-oxidizing microorganisms. Appl. Microbiol. Biotechnol. 1998, 50, 589–596. [Google Scholar] [CrossRef]
  32. Kartal, B.; Van Niftrik, L.; Rattray, J.; Van De Vossenberg, J.L.; Schmid, M.C.; Sinninghe Damsté, J.; Jetten, M.S.; Strous, M. Candidatu s ‘Brocadia fulgida’: An autofluorescent anaerobic ammonium oxidizing bacterium. FEMS Microbiol. Ecol. 2008, 63, 46–55. [Google Scholar] [CrossRef] [PubMed]
  33. Okabe, S.; Oshiki, M.; Takahashi, Y.; Satoh, H. N2O emission from a partial nitrification–anammox process and identification of a key biological process of N2O emission from anammox granules. Water Res. 2011, 45, 6461–6470. [Google Scholar] [CrossRef]
  34. Kuenen, J.G. Anammox bacteria: From discovery to application. Nat. Rev. Microbiol. 2008, 6, 320–326. [Google Scholar] [CrossRef] [PubMed]
  35. Van Dongen, U.; Jetten, M.S.; van Loosdrecht, M. The SHARON®-Anammox® process for treatment of ammonium rich wastewater. Water Sci. Technol. 2001, 44, 153–160. [Google Scholar] [CrossRef] [PubMed]
  36. Tal, Y.; Schreier, H.J.; Yechezkel, E.; Van Rijn, J. Characterization and abundance of anaerobic ammonia oxidizing (anammox) bacteria in biofilters of recirculating aquaculture systems. In Proceedings of the Fifth International Conference on Recirculating Aquaculture, Roanoke, VA, USA, 22–25 July 2004. [Google Scholar]
  37. van Kessel, M.A.; Harhangi, H.R.; Flik, G.; Jetten, M.S.; Klaren, P.H.; Op den Camp, H.J. Anammox bacteria in different compartments of recirculating aquaculture systems. Biochem. Soc. Trans. 2011, 39, 1817–1821. [Google Scholar] [CrossRef] [PubMed]
  38. Tal, Y.; Watts, J.E.; Schreier, H.J. Anaerobic ammonium-oxidizing (anammox) bacteria and associated activity in fixed-film biofilters of a marine recirculating aquaculture system. Appl. Environ. Microbiol. 2006, 72, 2896–2904. [Google Scholar] [CrossRef] [PubMed]
  39. Thoman, E.S.; Ingall, E.D.; Davis, D.A.; Arnold, C.R. A nitrogen budget for a closed, recirculating mariculture system. Aquac. Eng. 2001, 24, 195–211. [Google Scholar] [CrossRef]
  40. Jian, J.; Liao, X.; Li, S.; Chen, S.; Huang, Z.; Chen, J.; Zhou, X.; Zhang, Y.; Yin, B.; Sun, S. Nitrogen removal performance and sludge characteristics of wastewater from industrial recirculating aquaculture systems via anammox coupled with denitrification. J. Water Process Eng. 2022, 49, 103092. [Google Scholar] [CrossRef]
  41. Li, G.; Vilcherrez, D.; Carvajal-Arroyo, J.M.; Sierra-Alvarez, R.; Field, J.A. Exogenous nitrate attenuates nitrite toxicity to anaerobic ammonium oxidizing (anammox) bacteria. Chemosphere 2016, 144, 2360–2367. [Google Scholar] [CrossRef] [PubMed]
  42. Salter, S.; Gardner, C. Online or face-to-face microbiology laboratory sessions? First year higher education student perspectives and preferences. Creat. Educ. 2016, 7, 1869. [Google Scholar] [CrossRef]
  43. Li, W.; Zhuang, J.-L.; Zhou, Y.-Y.; Meng, F.-G.; Kang, D.; Zheng, P.; Shapleigh, J.P. Metagenomics reveals microbial community differences lead to differential nitrate production in anammox reactors with differing nitrogen loading rates. Water Res. 2020, 169, 115279. [Google Scholar] [CrossRef]
  44. Wang, C.; Qiao, S.; Bi, Z.; Zhou, J. Nitrate removal by anammox biomass with intracellular carbon source as electron donors via DNRA pathway. Environ. Res. 2021, 200, 111390. [Google Scholar] [CrossRef]
  45. Van de Graaf, A.A.; de Bruijn, P.; Robertson, L.A.; Jetten, M.S.; Kuenen, J.G. Autotrophic growth of anaerobic ammonium-oxidizing micro-organisms in a fluidized bed reactor. Microbiology 1996, 142, 2187–2196. [Google Scholar] [CrossRef]
  46. Kindaichi, T.; Awata, T.; Tanabe, K.; Ozaki, N.; Ohashi, A. Enrichment of marine anammox bacteria in Hiroshima Bay sediments. Water Sci. Technol. 2011, 63, 964–969. [Google Scholar] [CrossRef] [PubMed]
  47. Kindaichi, T.; Awata, T.; Suzuki, Y.; Tanabe, K.; Hatamoto, M.; Ozaki, N.; Ohashi, A. Enrichment using an up-flow column reactor and community structure of marine anammox bacteria from coastal sediment. Microbes Environ. 2011, 26, 67–73. [Google Scholar] [CrossRef]
  48. Mojiri, A.; Ohashi, A.; Ozaki, N.; Aoi, Y.; Kindaichi, T. Integrated anammox-biochar in synthetic wastewater treatment: Performance and optimization by artificial neural network. J. Clean. Prod. 2020, 243, 118638. [Google Scholar] [CrossRef]
  49. Shoiful, A.; Kambara, H.; Cao, L.T.T.; Matsushita, S.; Kindaichi, T.; Aoi, Y.; Ozaki, N.; Ohashi, A. Mn (II) oxidation and manganese-oxide reduction on the decolorization of an azo dye. Int. Biodeterior. Biodegrad. 2020, 146, 104820. [Google Scholar] [CrossRef]
  50. Awata, T.; Goto, Y.; Kuratsuka, H.; Aoi, Y.; Ozaki, N.; Ohashi, A.; Kindaichi, T. Reactor performance and microbial community structure of single-stage partial nitritation anammox membrane bioreactors inoculated with Brocadia and Scalindua enrichment cultures. Biochem. Eng. J. 2021, 170, 107991. [Google Scholar] [CrossRef]
  51. Bolyen, E.; Rideout, J.R.; Dillon, M.R.; Bokulich, N.A.; Abnet, C.; Al-Ghalith, G.A.; Alexander, H.; Alm, E.J.; Arumugam, M.; Asnicar, F. QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science. PeerJ Prepr. 2018, 6, e27295v1. [Google Scholar] [CrossRef] [PubMed]
  52. Quast, C.; Pruesse, E.; Yilmaz, P.; Gerken, J.; Schweer, T.; Yarza, P.; Peplies, J.; Glöckner, F.O. The SILVA ribosomal RNA gene database project: Improved data processing and web-based tools. Nucleic Acids Res. 2012, 41, D590–D596. [Google Scholar] [CrossRef] [PubMed]
  53. Awata, T.; Oshiki, M.; Kindaichi, T.; Ozaki, N.; Ohashi, A.; Okabe, S. Physiological characterization of an anaerobic ammonium-oxidizing bacterium belonging to the “Candidatus Scalindua” group. Appl. Environ. Microbiol. 2013, 79, 4145–4148. [Google Scholar] [CrossRef] [PubMed]
  54. Daims, H.; Brühl, A.; Amann, R.; Schleifer, K.-H.; Wagner, M. The domain-specific probe EUB338 is insufficient for the detection of all Bacteria: Development and evaluation of a more comprehensive probe set. Syst. Appl. Microbiol. 1999, 22, 434–444. [Google Scholar] [CrossRef]
  55. Schmid, M.C.; Maas, B.; Dapena, A.; van de Pas-Schoonen, K.; van de Vossenberg, J.; Kartal, B.; van Niftrik, L.; Schmidt, I.; Cirpus, I.; Kuenen, J.G. Biomarkers for in situ detection of anaerobic ammonium-oxidizing (anammox) bacteria. Appl. Environ. Microbiol. 2005, 71, 1677–1684. [Google Scholar] [CrossRef]
  56. Torno, J.; Einwächter, V.; Schroeder, J.P.; Schulz, C. Nitrate has a low impact on performance parameters and health status of on-growing European sea bass (Dicentrarchus labrax) reared in RAS. Aquaculture 2018, 489, 21–27. [Google Scholar] [CrossRef]
  57. Jin, R.-C.; Yang, G.-F.; Yu, J.-J.; Zheng, P. The inhibition of the Anammox process: A review. Chem. Eng. J. 2012, 197, 67–79. [Google Scholar] [CrossRef]
  58. Joicy, A.; Song, Y.-C.; Yu, H.; Chae, K.-J. Nitrite and nitrate as electron acceptors for bioelectrochemical ammonium oxidation under electrostatic field. J. Environ. Manag. 2019, 250, 109517. [Google Scholar] [CrossRef]
  59. Kocour Kroupová, H.; Valentová, O.; Svobodová, Z.; Šauer, P.; Máchová, J. Toxic effects of nitrite on freshwater organisms: A review. Rev. Aquac. 2018, 10, 525–542. [Google Scholar] [CrossRef]
  60. Lindholm-Lehto, P. Water quality monitoring in recirculating aquaculture systems. Aquacult. Fish Fish. 2023, 3, 113–131. [Google Scholar] [CrossRef]
  61. Lawson, C.E.; Wu, S.; Bhattacharjee, A.S.; Hamilton, J.J.; McMahon, K.D.; Goel, R.; Noguera, D.R. Metabolic network analysis reveals microbial community interactions in anammox granules. Nat. Commun. 2017, 8, 15416. [Google Scholar] [CrossRef]
  62. Ponce-Jahen, S.J.; Cercado, B.; Estrada-Arriaga, E.B.; Rangel-Mendez, J.R.; Cervantes, F.J. Anammox with alternative electron acceptors: Perspectives for nitrogen removal from wastewaters. Biodegradation 2024, 35, 47–70. [Google Scholar] [CrossRef] [PubMed]
  63. Zhang, L.; Wang, Y.; Soda, S.; He, X.; Hao, S.; You, Y.; Peng, Y. Effect of fulvic acid on bioreactor performance and on microbial populations within the anammox process. Bioresour. Technol. 2020, 318, 124094. [Google Scholar] [CrossRef] [PubMed]
  64. Pasalari, H.; Gholami, M.; Rezaee, A.; Esrafili, A.; Farzadkia, M. Perspectives on microbial community in anaerobic digestion with emphasis on environmental parameters: A systematic review. Chemosphere 2021, 270, 128618. [Google Scholar] [CrossRef]
  65. Li, E.; Deng, T.; Yan, L.; Zhou, J.; He, Z.; Deng, Y.; Xu, M. Elevated nitrate simplifies microbial community compositions and interactions in sulfide-rich river sediments. Sci. Total Environ. 2021, 750, 141513. [Google Scholar] [CrossRef] [PubMed]
  66. Zhang, X.-Y.; Li, Z.-L.; Chen, F.; Wang, S.-P.; Nan, J.; Huang, C.; Chen, X.-Q.; Cao, D.; Bai, C.-H.; Wang, H.-C. Influence of nitrate concentration on trichloroethylene reductive dechlorination in weak electric stimulation system. Chemosphere 2022, 295, 133935. [Google Scholar] [CrossRef] [PubMed]
  67. Wrighton, K.C.; Virdis, B.; Clauwaert, P.; Read, S.T.; Daly, R.A.; Boon, N.; Piceno, Y.; Andersen, G.L.; Coates, J.D.; Rabaey, K. Bacterial community structure corresponds to performance during cathodic nitrate reduction. ISME J. 2010, 4, 1443–1455. [Google Scholar] [CrossRef] [PubMed]
  68. Fan, L.; Sun, F. Nitrogen metabolism potential in biofilm microbial communities: Potential applications in the mariculture wastewater treatment. Aquac. Eng. 2024, 104, 102387. [Google Scholar] [CrossRef]
  69. Qu, J.; Yang, H.; Liu, Y.; Qi, H.; Wang, Y.; Zhang, Q. The study of natural biofilm formation and microbial community structure for recirculating aquaculture system. In IOP Conference Series: Earth and Environmental Science; IOP Publishing: Bristol, UK, 2021. [Google Scholar]
  70. Yang, W.; He, S.; Han, M.; Wang, B.; Niu, Q.; Xu, Y.; Chen, Y.; Wang, H. Nitrogen removal performance and microbial community structure in the start-up and substrate inhibition stages of an anammox reactor. J. Biosci. Bioeng. 2018, 126, 88–95. [Google Scholar] [CrossRef]
  71. Speth, D.R.; in’t Zandt, M.H.; Guerrero-Cruz, S.; Dutilh, B.E.; Jetten, M.S. Genome-based microbial ecology of anammox granules in a full-scale wastewater treatment system. Nat. Commun. 2016, 7, 11172. [Google Scholar] [CrossRef] [PubMed]
  72. Kraiem, K.; Wahab, M.A.; Kallali, H.; Fra-Vazquez, A.; Pedrouso, A.; Mosquera-Corral, A.; Jedidi, N. Effects of short-and long-term exposures of humic acid on the Anammox activity and microbial community. Environ. Sci. Pollut. Res. 2019, 26, 19012–19024. [Google Scholar] [CrossRef]
  73. Strous, M.; Fuerst, J.A.; Kramer, E.H.; Logemann, S.; Muyzer, G.; Van De Pas-Schoonen, K.T.; Webb, R.; Kuenen, J.G.; Jetten, M.S. Missing lithotroph identified as new planctomycete. Nature 1999, 400, 446–449. [Google Scholar] [CrossRef] [PubMed]
  74. Hosokawa, S.; Kuroda, K.; Narihiro, T.; Aoi, Y.; Ozaki, N.; Ohashi, A.; Kindaichi, T. Cometabolism of the superphylum Patescibacteria with anammox bacteria in a long-term freshwater anammox column reactor. Water 2021, 13, 208. [Google Scholar] [CrossRef]
  75. Jetten, M.S.; Wagner, M.; Fuerst, J.; Van Loosdrecht, M.; Kuenen, G.; Strous, M. Microbiology and application of the anaerobic ammonium oxidation (‘anammox’) process. Curr. Opin. Biotechnol. 2001, 12, 283–288. [Google Scholar] [CrossRef] [PubMed]
  76. Jetten, M.S.; Horn, S.J.; van Loosdrecht, M.C. Towards a more sustainable municipal wastewater treatment system. Water Sci. Technol. 1997, 35, 171–180. [Google Scholar] [CrossRef]
Figure 1. Schematic drawing of the up-flow column reactor.
Figure 1. Schematic drawing of the up-flow column reactor.
Water 16 03705 g001
Figure 2. Concentration of NH4+, NO2 and NO3 in the influent (‘Inf’, filled circles) and effluent (‘Eff’, open circles) throughout the experiment.
Figure 2. Concentration of NH4+, NO2 and NO3 in the influent (‘Inf’, filled circles) and effluent (‘Eff’, open circles) throughout the experiment.
Water 16 03705 g002
Table 1. Operational conditions of the column rector in the three experimental phases.
Table 1. Operational conditions of the column rector in the three experimental phases.
PhasePeriod (d)[NO3-N]
(mg·L−1)
HRT
(h)
pH
Influent
pH
Effluent
Nitrogen Loading Rate
(g-TN·L−1·day−1)
Nitrogen Removal Rate
(g-TN·L−1·day−1)
10–5205.4 ± 0.47.16 ± 0.187.51 ± 0.210.28 ± 0.030.21 ± 0.07
253–10525 → 4005.8 ± 0.47.24 ± 0.317.54 ± 0.340.81 ± 0.440.21 ± 0.02
3106–3684006.2 ± 0.87.45 ± 0.277.64 ± 0.541.85 ± 0.300.29 ± 0.08
Note: The values represent the average ± standard deviation for the selected period.
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Roques, J.A.C.; Unegbu, E.; Fujii, N.; Marqué, A.; Micolucci, F.; Sundell, K.S.; Kindaichi, T. Tolerance of the Marine Anammox Candidatus Scalindua to High Nitrate Concentrations: Implications for Recirculating Aquaculture Systems. Water 2024, 16, 3705. https://doi.org/10.3390/w16243705

AMA Style

Roques JAC, Unegbu E, Fujii N, Marqué A, Micolucci F, Sundell KS, Kindaichi T. Tolerance of the Marine Anammox Candidatus Scalindua to High Nitrate Concentrations: Implications for Recirculating Aquaculture Systems. Water. 2024; 16(24):3705. https://doi.org/10.3390/w16243705

Chicago/Turabian Style

Roques, Jonathan Armand Charles, Ebuka Unegbu, Naoki Fujii, Amélie Marqué, Federico Micolucci, Kristina Snuttan Sundell, and Tomonori Kindaichi. 2024. "Tolerance of the Marine Anammox Candidatus Scalindua to High Nitrate Concentrations: Implications for Recirculating Aquaculture Systems" Water 16, no. 24: 3705. https://doi.org/10.3390/w16243705

APA Style

Roques, J. A. C., Unegbu, E., Fujii, N., Marqué, A., Micolucci, F., Sundell, K. S., & Kindaichi, T. (2024). Tolerance of the Marine Anammox Candidatus Scalindua to High Nitrate Concentrations: Implications for Recirculating Aquaculture Systems. Water, 16(24), 3705. https://doi.org/10.3390/w16243705

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