Next Article in Journal
Interfacial Behavior of Janus Nanorods: A Dissipative Particle Dynamics (DPD) Study on Water–Oil Systems and Nanoconfinement
Next Article in Special Issue
Algal–Bacterial Symbiotic Granular Sludge Technology in Wastewater Treatment: A Review on Advances and Future Prospects
Previous Article in Journal
Bibliometric Insights into Terracing Effects on Water Resources Under Climate Change: Advances in Remote Sensing and GIS Applications
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Impact of the Mechanism of Biocarriers on Bacterial–Microbial Symbiosis for Mariculture Wastewater Treatment: Performance and Microbial Community Evolution

1
State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China
2
School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai 264209, China
3
School of Engineering, Northeast Agricultural University, Harbin 150030, China
4
Department of Municipal Engineering, School of Civil Engineering, Hefei University of Technology, Hefei 230009, China
*
Authors to whom correspondence should be addressed.
Water 2025, 17(8), 1127; https://doi.org/10.3390/w17081127
Submission received: 16 March 2025 / Revised: 5 April 2025 / Accepted: 8 April 2025 / Published: 10 April 2025
(This article belongs to the Special Issue Algae-Based Technology for Wastewater Treatment)

Abstract

:
Mariculture wastewater is an intractable wastewater, owing to its high salinity inhibiting microbial metabolism. The biocarrier bacterial–microbial consortium (BBM) and bacterial–microbial consortium (BM) were developed to investigate the mechanism of pollutant degradation and microbial community evolution. The BBM exhibited excellent mariculture wastewater treatment, with the highest removal for TOC (91.78%), NH4+-N (79.33%) and PO43−-P (61.27%). Biocarriers accelerated anaerobic region formation, with the levels of denitrifying bacteria accumulation improving nitrogen degradation in the BBM. Moreover, the biocarrier enhanced the production of soluble microbial products (SMPs) (11.53 mg/L) and extracellular polymeric substances (EPSs) (370.88 mg/L), which accelerated the formation of bacterial and microalgal flocs in the BBM. The fluorescence excitation–emission matrix (EEM) results demonstrated that the addition of biocarriers successfully decreased the production of aromatic-like components in anoxic and aerobic supernatants. Additionally, the biocarrier shifted the bacterial community constitutions significantly. Biocarriers provided an anoxic microenvironment, which enhanced enrichments of Rhodobacteraceae (66%) and Ruegeria (70%), with a satisfying denitrification in the BBM. This study provided a novel biocarrier addition to the BBM system for actual mariculture wastewater treatment.

1. Introduction

Notable amounts of mariculture wastewater are being produced due to the increasing demand for seafood and the reduction in wild fishery resources [1]. As a typical salinity wastewater, it contains complex components such as suspended solids, nutrients and dissolved organic carbon from feed residues and excretions [2]. Discharge of mariculture wastewater results in a severe threat to the coastal environment, such as in marine eutrophication or biodiversity reduction. Moreover, mariculture wastewater has been generally considered as a kind of intractable wastewater owing to high salinity’s impact on microbial metabolism [3]. There are currently various methods to treat such wastewater, such as advanced oxidation processes, reverse osmosis and ion exchange. However, there are problems of a high operating cost and secondary pollutants [4]. Hence, conventional biological methods are more suitable for the removal of contaminants from mariculture wastewater. However, the pollutant removal efficiency of these technologies (e.g., activated sludge wastewater treatment process) cannot meet the requirements of discharge or recycling. Hence, an alternative technology for mariculture wastewater treatment is urgently needed [5].
The bacterial–microbial consortium (BM) provides a sustainable and cost-effective means of biological nutrient removal as well as microalgae bioenergy accumulation in the wastewater treatment process. The BM has been increasingly used for high-salinity wastewater treatment due to its unique features of an excellent nutrient removal efficiency, rapid growth and a high adaptability to surrounding environments [6]. A previous study indicated that a higher ammonium reduction (100 ± 18 mg/(L·d)) was attained in the BM than that in the microalgae system (44 ± 16 mg/(L·d)) [7]. However, the high stress of salinity inhibits the microbial metabolism in the BM dramatically. The activities of functional microorganisms—including denitrification bacteria and phosphate-accumulating organisms—are reduced, resulting in unsatisfactory nutrient removal. Moreover, the high stress of salinity shifted the structure of the polymers that hold the sludge together, resulting in the sludge floc breaking up. It produced sludge particles, leading to a decline in the efficiency of sludge filtering [8]. Soluble microbial product (SMP) and extracellular polymeric substance (EPS) were released throughout the procedure. Interestingly, biocarrier enhanced the chemical oxygen demand (COD) removal rate and color removal rate, with values 2% and 8% greater than that in the conventional bacterial-microbial MBR [9]. In the MBBR, the addition of biocarrier significantly enhanced the biodegradation efficiency of organic matter. The removal rates of NH4+-N and TN increased by 8.7% and 12.5%, respectively, which improved the nitrification and denitrification processes [10]. A previous study reported that total nitrogen removal was about 22.9% higher than that of the control group with the addition of biocarrier in the MBR. This result may be related to the addition of biocarrier, which changed the microbial community structure and led to the formation of anoxic zones. The relative abundance of denitrification and nitrogen metabolism sequences increased [11]. Biocarriers significantly impacted the characteristics of SMPs and EPSs in mariculture wastewater treatment. Biocarriers reduced the production of aromatic-like components in anoxic and aerobic supernatants and caused peak shifts towards shorter wavelengths of SMPs in the aerobic phase [12]. The addition of biocarriers resulted in the enrichment of various functional microorganisms, including Candidatus, Cloacibacterium and Flavobacterium [13]. In addition, the BM has shown significant economic advantages in the treatment of mariculture wastewater. Microalgae photosynthesis replaces traditional aeration and reduces electricity consumption [14]. Moreover, microalgae can use CO2 as a feedstock for photosynthesis, producing high-value compounds while reducing CO2. Microalgae have a lot of high-value compounds in their cells that can produce large amounts of biomass and lipids [15]. These substances can be converted into biofuels, biohydrogen, biobatteries and other high-value substances in a clean and sustainable way that has the potential to replace traditional fossil fuels and be environmentally friendly [16]. Hence, the above studies demonstrated that biocarrier can be applied to wastewater treatment and has achieved good results, but the treatment efficiency of organic matter and microbial community transformation after adding biocarrier need to be further investigated.
Therefore, the biocarrier bacterial–microbial consortium (BBM) and BM were developed to explore the mechanism of pollutant degradation and microbial community evolution for mariculture wastewater treatment. The aims of this study were to (1) investigate the mechanism of the biocarrier on the degradation of pollutants in the mariculture wastewater treatment; (2) to explore the effects of biocarrier addition on the characteristics of SMPs and EPSs; (3) to analyze the biocarrier’s effect on the mass balance under the high stress of salinity; and (4) to discuss the biocarrier’s effect on the microbial community structure shift in the BBM. This paper presents new insights into the mechanism by which the BBM promotes the secretion of EPSs, the evolution of microbial community structure, and the enhancement of organic matter removal efficiency. These studies can provide a theoretical basis for the future large-scale application of the BBM treatment of mariculture wastewater.

2. Materials and Methods

2.1. Microorganism and Synthetic Mariculture Wastewater

Chlorella pyrenoidosa (C. pyrenoidosa) was obtained from the Institute of Oceanology, Chinese Academy of Sciences (Qingdao, China) (FACHB-9), and it was maintained in autoclaved BG-11 medium and stored at 4 °C. Lighting parameters were as follows: cool white LED light; a light intensity of 3000 lux; a light/dark cycle of 12 h/12 h. Activated sludge seed was collected from a local sewage treatment plant located in Weihai and inoculated in a 20 L capacity reactor, and the impurities were removed in the process [5]. C. pyrenoidosa and activated sludge were mixed to produce biomass. The biomass was acclimated in an operation using synthetic mariculture wastewater for a month to obtain loose flocs. The pre-cultivated flocs were inoculated in the BBM with an initial concentration of approximately 2000 mg/L.
Synthetic wastewater was added with the following composition: 100 mg/L NH4Cl, 17.5 mg/L KH2PO4, 250 mg/L NaHCO3, 332 mg/L CH3COOH, 8.4 mg/L EDTAFeNa, 0.005 mg/L vitamin B12, 20 mg/L Na2SiO3⋅9H2O, 1 mg/L vitamin B1, 36 mg/L CaCl2⋅2H2O, 75 mg/L MgSO4⋅7H2O, 1 mg/L Na2EDTA and A5 (1.86 mg/L MnCl2⋅4H2O, 2.86 mg/L H3BO3, 0.22 mg/L Na2MoO4⋅2H2O, 0.05 mg/L Co(NO3)2⋅6H2O, 0.08 mg/L CuSO4⋅5H2O, 0.021 mg/L ZnSO4⋅7H2O) [17]. The final concentrations of the essential components were 250 mg COD/L, 26 mg N/L and 4 mg P/L in synthetic mariculture wastewater.

2.2. Experimental Setup and Operation

A novel bioreactor, namely a double internal circulating bioreactor, was constructed to cultivate the bacterial–microbial consortium directly in continuous flow mode, as shown in Figure 1. The BBM was a double internal circulating bioreactor using 1 cm diameter round high-density polyethylene packing as biocarriers. Biocarriers flows with the fluid throughout the reactor. The filling rate was 5% of the effective volume of the reactor. The BM was used as the control group without adding biocarriers. This configuration achieved an internal hydrodynamic circulation. Aeration was provided at the bottom of both reactors by gas diffusers (Xiangjin, China) and monitored by an airflow meter (Xiangjin, China). The floc of bacteria and algae were made by fluid flowing upwards in the aeration chamber and downwards in the mixing chamber. The configuration of both bioreactors is shown in Figure 1. Both reactors were set up with a working volume of 15 L. The light intensity was 3000 lx.

2.3. Analytical Methods

The organic and nutrient removal performance of the BBM and the BM was monitored in terms of TOC, NH4+, TP. A total organic carbon analyzer was used to monitor TOC (TOC-L CPH CN200V, Shimadzu, Japan) [18]. The content of chlorophyll a was detected by acetone extraction. Biomass was measured by dry-weight method. The Lowry method [19] and phenol-sulphuric method [20] were used to detect protein and carbohydrate, respectively. Excitation–emission matrix spectroscopy (EEM, FP6500, JASCO, Japan) was used to characterize major components of SMPs and EPSs (F-2700 Hitachi Ltd., Japan). Measurements of EEM fluorescence spectra were carried out repeatedly. To investigate the bacterial community constitution evolution in the BBM and BM, samples were collected at the end of the experiment. The 16S rRNA gene levels Miseq Illumina were used to analyze the bacteria community composition [5].

3. Results and Discussion

3.1. Mariculture Wastewater Treatment Performance

As shown in Figure 2a, the BBM obtained the highest removal of TOC (91.78%). The microalgae provided sufficiently high dissolved oxygen (DO) to heterotrophic bacteria (DO > 7.3 mg/L), enhancing COD removal [21]. A previous study had demonstrated that the BBM had promising performance in removing organic matter. Compared to the BM, the addition of biocarrier provided a suitable environment. The biocarriers improved the hydraulic characteristics by prolonging the actual hydraulic retention time (HRT) and reduced the dead zone, which could benefit mass transfer [22]. The cylindrical biocarrier had a large specific surface area. Aerobic microorganisms multiplied on the surface of the biocarrier and formed a biofilm [23,24]. Organic matter was decomposed rapidly. Gao et al. added modified basalt fiber (MBF) biocarrier. The COD removal efficiency was 93.4%, which may be the result of the effective diffusion and degradation of oxygen and pollutants in the bio-nest [25]. These findings aligned with the previous study’s results, which showed that COD was efficiently utilized, with efficient removal in the biofilm membrane bioreactors coupled with pre-anoxic tanks for treating mariculture wastewater [26]. Additionally, the addition of biocarriers could change the microbial environment inside the system and increase the abundance of beneficial bacteria such as Alphaproteobacteria. Hence, the addition of the biocarrier was beneficial to the removal of organics in the BBM.
As shown in Figure 2b, the BBM and BM system all maintained a stable high removal efficiency of nitrogen of 90% to 100% throughout the whole operation. NH4+-N was mainly removed through the effect of microalgal assimilation and bacterial dissimilation between microalgae and bacteria [27]. Microalgae preferred to take up NH4+-N due to its smaller energy requirement. NH4+-N could be directly transported into microalgal cells, which could be converted to amino acids in the body by glutamine synthetase–glutamate synthase for vital activities and reproduction. NH4+-N was firstly transformed into NO2-N and NO3-N by NH4+-N-oxidizing bacteria (AOB) and nitrite-oxidizing bacteria (NOB), then would be converted to nitrogen through denitrification [28]. The BBM had a higher nitrogen removal efficiency compared to activated sludge. This conclusion was also verified in the previous study, where the removal efficiency of NH4+-N nitrogen in the BBM was about 24% higher than that of activated sludge system [29]. This was because the conversion of ammonium by nitrifying bacteria reduced the toxicity of free NH4+-N on microalgae growth. CO2 from bacteria were shown to be a carbon source for microalgal growth. In turn, in some cases, microalgae extracellular polysaccharides or amino acids fed bacteria as well [30]. Microalgae and their associated bacteria were involved in a complex nutritional exchange that benefits both the bacteria and the microalgae [31]. The EPSs secreted by bacteria and microalgae could be attached to the surface of the biocarrier, which acted as a diffusional barrier between microbial cells. Biocarriers might protect microorganisms from changes in the surrounding environment through the attachment of biomass [32]. In addition, microbial community succession occurred in the biofilm, driven by the increased microbial diversity in the biofilm of biocarriers. This increased the abundance of beneficial bacteria such as Proteobacteria, which includes AOB, NOB, denitrifying bacteria (Betaproteobacteria) and other bacteria dedicated to denitrification (Rhodobacter) [33]. The biocarriers immobilized specific bacteria in the BBM, which encouraged the enrichment of nitrifiers and denitrifiers. Therefore, the BBM had achieved an excellent nitrogen removal performance [12].
Figure 2c shows that the influent TP concentration varied in the low range of 2.21~2.66 mg/L (average 2.36 mg/L). The removal efficiency of the effluent TP concentration in the stabilized stage of the BBM was above 85%. The removal of phosphorus in the BBM and BM system included the growth assimilation of microalgae and the aerobic phosphorus absorption of activated sludge. In this process, aeration was set and O2 was produced by promoting the growth of microalgae. Therefore, it was difficult to form anaerobic conditions. It was possible that the removal of TP was mainly due to the assimilation of microalgae [34]. At the initial stage, the removal efficiency of TP showed a decreasing trend, which may be due to the reduction in the phosphorus-accumulating organisms (PAOs) in the two reactors. Polyphosphate-accumulating organisms enriched from activated sludge could store net phosphate as intracellular polyphosphate via alternating anaerobic and aerobic conditions [35]. During the intermediate and late stage, the increasing removal efficiency of TP may be attributed to the adaptation of the bacteria and microalgae consortium in the BBM and BM to the environment, and the enhancement of microbial assimilation and excessive phosphorus absorption capacity in the system. The BBM exhibited a higher TP removal performance than the BM. The biocarriers facilitated the maintenance of nutrient and oxygen levels in the colonies attached to the biocarrier and enabled the growth of a thin biofilm onto the surface despite the turbulence [22]. The performance of the BBM was more stable than that in the BM. In another study, it was demonstrated that thin biofilms had high bacterial activity and provided excellent contaminant removal properties [24,36]. Moreover, biocarriers adopted a cylinder shape with a cross inside and enhanced the attachment of microorganisms. It had large pores inside, which facilitated water and bubble transport. It increased the active area for bacterial growth and metabolic activity, and allowed for a great and fast mass transference [37]. Therefore, bacteria and microalgae attached to the biocarrier can further strengthen the adsorption of pollutants and improve the assimilation efficiency.

3.2. The Accumulation of Chlorophyll a and Biomass Production

As shown in Figure 3, the variation trend of mixed liquor suspended solid (MLSS) production was similar to the chlorophyll a accumulation. The BBM and BM both showed a trend of rising firstly and then decreasing. However, the biocarriers stabilized the regularity of the fluidization of the system, which promoted the secretion of EPS by microorganisms and increased the chlorophyll a accumulation. At the initial and intermediate stage, activated sludge and microalgae were in the growth phase, with sufficient resource availability. The growth of MLSS and chlorophyll a content increased significantly. In the system, microalgae could fix CO2 during autotrophic growth while secreting organic carbon, mainly as polysaccharides and proteins, which can be used as a carbon source by the heterotrophs. The synergistic support of bacteria and microalgae enhanced the consortium growth, as previously reported [38]. After that, the biomass and chlorophyll a content of the two reactors decreased, which might be due to the continuous increase in biomass, resulting in the poor fluidization state of the reactor system. The study by Qian et al. confirmed this statement [39]. Overall, the growth in the MLSS and chlorophyll a content of the BBM was higher than that in the BM. Hence, biocarriers strengthened the regularity of fluidization in the BBM.

3.3. The Production of SMP and EPS

Figure 4 depicts the contents of protein and polysaccharide in SMPs and EPSs for the BBM and BM. The protein concentration decreased while polysaccharide content increased. In addition, the BBM system had a substantially greater polysaccharide content than the BM system, with a maximum concentration of almost 30 mg/L (Figure 4). Research has demonstrated that SMPs may indicate the activity of the denitrification bacteria in metabolism. The decrease in SMPs indicates a decline in the metabolic activity of denitrification bacteria [40]. This demonstrates that the BBM system outperformed the BM system in terms of of nitrogen removal and denitrification ability. This might also be related to the formation of anaerobic areas inside the bacterial–microbial system attached to the biocarriers. The results show a tendency of first increasing, then decreasing, and then increasing for the EPS concentration in the two systems. The protein and polysaccharide contents were more than 300 mg/L at day 9. Compared to the BM system, the BBM system features an increased EPS content, primarily a higher polysaccharide content. In the bacterial–microbial consortium system, bacteria might find additional growth sites and sticky parts, while microalgae were utilized as a biocarrier [28]. Bacterial-produced materials were more inclined to become attached to microalgae and form EPSs. One characteristic of biocarriers was a large specific surface area, which can adsorb more bacteria and microalgae. This could be a consequence of the BBM system having a higher EPS content than that of the BM system.
In the BBM system, microorganisms produced EPSs as a metabolic byproduct. They were frequently utilized as an adhesive to unite microbial cells to form functional microbial communities. The change in the EPS content indicated a shift in the composition of the microbial community in the reactor. During the operation of the reactor, the fluctuation of EPS content and PN/PS ratio in the BBM system was more obvious than that in the BM system. Bacteria and microalgae must secrete more EPSs to resist these changes than before, and protected bacteria from hydraulic shear forces and toxic chemicals. This was an ordinary method whereby bacteria and microalgae defend themselves when under stress from the outside world. Qiu et al. also reported that biomass resists changes in conditions inside bioreactors by secreting more EPSs [41]. The stability of biofilms was significantly influenced by EPSs. Bacteria and biocarriers might connect through the assistance of EPSs. The addition of biocarriers regulated the hydraulic flow conditions inside the system. For the elimination of phosphate and nitrogen, a stable ecosystem formed by the biofilm on the biocarriers was crucial.

3.4. Fluorescence Excitation–Emission Matrix Analysis of System

Three-dimensional EEM spectroscopy was performed to characterize the components of SMPs and EPSs in the bacteria and microbial substances extracted from the two systems. The substance status of SMPs and EPSs in the BBM and BM systems at the end of the reaction had been shown through the EEM, as demonstrated in Figure 5. The SMP peaks were similar in the two systems. Peak A (Ex = 350~375 nm, Em = 415~435 nm) was humic acid. Tryptophan protein substance was discovered at Peak B (Ex = 265~285 nm, Em = 310~330 nm). Peak C (Ex = 260~275 nm, Em = 430~450 nm) was marine humic acid [17]. The little change in the peak positions of the two systems suggests their structure is similar. However, the peak intensity of SMPs in the BBM sample was high. This was consistent with the findings of the SMP assessment of content in the two systems. From the variation in the peak strength of the substances in the two systems, humic acid content was high in SMPs. Humic acid, as a kind of polyelectrolyte complex, was an important substance in activated-sludge EPSs. The strong hydrophobicity made it easy to attach to the biocarriers. This might also be the reason for the high content of humic acid in the BBM system. Two typical fluorescence peaks were detected in EPS samples. Peak B (Ex = 265~285 nm, Em = 310~330 nm) was the tryptophan protein substance. Peak D (Ex = 220~235 nm, Em = 300~320 nm) was aromatic protein. In fact, these two peaks were identified as corresponding to protein-like substances. Previous studies had shown that aromatic proteins can induce microbial aggregation through hydrophobicity. The peak strength of the BBM was obviously higher than that of the BM, which had a better bioflocculation capability [42]. Consequently, the addition of biocarriers accelerated bacterial–microbial floc formation, demonstrating a satisfying mariculture wastewater treatment.

3.5. Microbial Community Composition

The microbial community constitution evolution between BBM and BM is depicted in Figure 6. Figure 6a displays the distribution of dominant bacterial community shifts at the phylum level. The addition of biocarriers resulted in a significant shift in the microbial community constitution. In the BBM, Proteobacteria (51%) was the dominant bacteria, and Bacteroidota (73%) and Chloroflexi (63%) were the predominant bacteria in the BM. Actinobacteriota maintained the absolute advantage in the raw sludge, reaching 83%. This demonstrated that Actinobacteriota abundance was greatly decreased and that the addition of C. pyrenoidosa had a significant influence on the primary bacterial community structure. Moreover, a huge accumulation of Proteobacteria was obtained in the BBM, which was about 14% higher than that in the BM. The structure of microbial communities within the microalgae system could be altered by biocarriers. The anoxic microenvironment formed in the biocarriers provided an excellent habitat for conventional heterotrophic denitrifying bacteria improving denitrification in the BBM. The previous study demonstrated that Proteobacteria were crucial for the degradation of organic matter and the removal of nutrients [43]. In addition, nitrite-oxidizing bacteria (NOB), NH4+-N-oxidizing bacteria (AOB), denitrifying bacteria and other bacteria dedicated to nitrogen removal were all included in the category of Proteobacteria [44]. Furthermore, C. pyrenoidosa had an intense preference for Protobacteria presence, which may be extremely helpful in the growth and multiplication of these microorganisms [45]. This explained the reason for the increase in Proteobacteria predominance in the BBM and BM systems. During the culture process, the abundance of Actinobacteria in BBM and BM decreased from 83% to 5% and 12%, respectively, indicating that the current culture conditions were not conducive to Actinobacteria. It is possible that the inhibitory effect of C. pyrenoidosa on actinomycetes exacerbated this effect [46]. In general, the diversity of bacteria in the community composition was similar with what is usually found in wastewater treatment systems [47]. This could account for the excellent nutrient and organic matter removal efficiency in the microalgal–bacteria system.
The distribution of bacteria at the class and genus level is depicted in Figure 6b and Figure 6c, respectively. The research results indicate that the predominant classes of the BBM and BM were Alphaproteobacteria (57%, 27%), Bacteroidetes (26%, 73%) and Gammaproteobacteria (23%, 76%), respectively. Alphaproteobacteria occupied the highest proportion and played an important role in the removal of organic carbon and participated in various metabolic reactions in the system (Photosynthesis, NH4+-N oxidation and nitrogen fixation) [48,49]. As an important denitrifying bacterium, Gammaproteobacteria ensured optimal denitrification performance in BM systems. Furthermore, it was frequently discovered that these bacteria predominate in the microbial community in traditional wastewater treatment systems. These bacteria secreted a large amount of SMP, which contributed to the formation of bacteria and microalgae floc, promoted the precipitation of bacteria and microalgae and improved the quality of effluent [50]. But according to our research, Gammaproteobacteria produced more SMPs in the BBM system, in spite of having a low abundance in the system. It might be due to the addition of biocarriers promoting the secretion of this substance. Furthermore, bacteria that could still survive in large quantities under conditions of high salinity include Gammaproteobacteria and Alphaproteobacteria [51]. The widespread presence under high-salinity conditions was one of the conditions that gave the bacteria the ability to remove nitrogen and phosphorus [52,53]. Rhodobacteraceae (66%) were aerobic denitrifying bacteria with a high NH4+-N removal efficiency. This explained the reason why the system continued to have excellent nitrogen removal abilities despite severe salt stress [54]. Bacteroidia are heterotrophic bacteria that perform various kinds of metabolic functions in the process of the degradation of organic matter. However, in the biocarrier-enhanced reaction system, the abundance of these bacteria was changed dramatically. It might be that the addition of biocarriers was not conducive to the growth of some bacteria and had a negative impact on the species.
As illustrated in Figure 6c, the species at the genus level in the BBM and BM were Rhodobacteraceae (66%, 31%), Ruegeria (70%, 30%), Actinomarinales (28%, 72%) and Flavobacteriaceae (26%, 74%). The abundance of Rhodobacteraceae was significantly increased by the addition of biocarriers. The enrichment of Rhodobacteraceae accelerated the formation of biofilm [55]. Microlunatus was one of the reported phosphorus-accumulating bacteria. The addition of biocarriers increased the abundance of Microlunatus. In the BBM system, Microlunatus played a pivotal role in phosphorus removal. This conclusion had been confirmed by previous studies; that is, that the assimilation of microalgae was advantageous in the removal of phosphorus from wastewater [56]. Therefore, the addition of biocarriers resulted in a significant bacterial community shift, and the enrichment of the above functional bacteria enhanced the mariculture wastewater treatment and microalgal growth in the BBM.

3.6. Mass Balance Flow of Carbon and Nitrogen

In the BBM and BM system, bacteria and microalgae could develop a beneficial symbiotic interaction. It was possible to establish synthetic reactions between bacteria and microalgae with specified formulas [57]. Organic matter was oxidized to simple byproducts, while biomass was produced as waste products. The molecular formulas of bacteria and microalgae were CH1.4N0.2O0.4P0.017 and CH1.78N0.12O0.36P0.01, respectively. Prior research had demonstrated that bacteria and microalgae have a mass distribution of roughly 5:3, based on the balance of nitrogen [58]. Acetate was the carbon source for the bacterial assimilation processes in (1) and (2), respectively. The following formula illustrates the synthetic reaction of the bacteria and microalgae [57]:
Bacteria assimilate with acetate as a carbon source:
C H 3 C O O + 0.88 O 2 + 0.22 N H 4 + + 0.019 H 2 P O 4 + 0.8 H + = 0.91 C O 2 + 1.6 H 2 O + 1.1 C H 1.4 N 0.2 O 0.4 P 0.017   
Microalgae assimilate with CO2 as a carbon source:
CO 2 + 0.12 NH 4 + + 0.01 H 2 P O 4 + 0.69 H 2 O = 1.19 O 2 + 0.11 H + + CH 1.78 N 0.12 O 0.36 P 0.01  
Consistent with previous studies, bacterial metabolism predominantly absorbed carbon and nitrogen contaminants [59]. Furthermore, certain studies had estimated that the growth proportion of bacterial–microbial systems is 0.7 g/g COD of volatile suspended solids (VSSs) [60]. It demonstrated that the system can convert approximately 70 percent of COD to VSSs. Furthermore, 10% to 20% of the organic carbon was released from throughout the system with the wastewater. Bacterial digestion converted about 20–30% of organic carbon to carbon dioxide [61]. About 30–40% of the removed nitrogen could be biodegraded through processes including nitrification and denitrification to produce nitrate, nitrite and nitrogen under the influence of light. The extra nitrogen was subsequently transformed through biological assimilation to biomass [62,63]. As shown in Table 1, bacteria and biocarriers were closely combined to form an anaerobic area for denitrification and conversion into nitrogen in the BBM system. The nitrogen removal performance was improved (79.33%). The increased abundance of Proteobacteria in the system also further supports this opinion. The addition of biocarriers also changed the microbial environment in the system and increased the abundance of Alphaproteobacteria. It played an important role in the removal of organic carbon. In consequence, the BBM effluent had enhanced mariculture wastewater treatment efficiency and contained less nitrogen.

3.7. Impact of Mechanism of Biocarriers on Bacterial–Microbial Symbiosis for Pollutant Removal

Figure 7 outlines the major biotransformations of organic and inorganic nitrogen in the system. Bacteria played a major role due to their ability to remove nutrients and biotransforming pollutants. The addition of biocarriers could have provided anaerobic conditions for denitrification and have improved the efficiency of pollutant removal [64]. Nitrogen sources in the wastewater mainly existed in the form of inorganic nitrogen such as NH4+-N, NO3-N and nitrite. They were transformed into each other through various ways, and finally discharged out of the system in the form of N2 under anaerobic conditions formed by biocarriers. Bacteria and microalgae could both eliminate NH4+-N from the body through metabolism. NH4+-N could penetrate the cell membrane and enter the intracellular environment of microalgal cells. It was further transformed into an important component of proteins and nucleic acids. However, excess NH4+-N would promote the release of free NH4+-N [65]. This could have a negative effect on the photosynthesis process of microalgae cells. The nitrogen-functional bacteria in the system had NH4+-N-oxidizing bacteria (AOB), nitrite-oxidizing bacteria (NOB), anammox bacteria (AMX) and denitrifying bacteria (DNF). AOB oxidized NH4+-N to NO2-N during the aerobic phase of the system. NOB converted some of the NO2-N to NO3-N. Nitrogen denitrification could be performed because biocarriers provide anoxic zones. Compared with the BM, denitrification was easy to achieve in the BBM system, and it improved the efficiency of nitrogen removal. DNF denitrified NO3-N to NO2-N, and AMX subsequently transformed it to N2. Furthermore, AOB oxidized nitrogen sources that were previously converted to NO2-N and which do not entirely reoxidize to NO3-N. Some of the NO2-N was directly denitrified to N2 by AMX. Meanwhile, anaerobic ammoxidation could directly convert NH4+-N into N2 under anaerobic conditions provided by biocarriers. The process also involved several enzymatic reactions [66]. In addition, nitrifying bacteria and denitrifying bacteria could help microalgae alleviate NH4+-N stress, which strengthened the synergistic relationship between bacteria and microalgae. Therefore, the bacterial–microbial system with the addition of biocarriers could improve the removal efficiency of pollutants.

4. Conclusions

The impact of the biocarrier on the BBM for mariculture wastewater treatment and the shift in the bacterial community was investigated. The mariculture wastewater treatment performance of the BBM was superior to that of the BM, with the highest removals for nitrogen (79.33%) and phosphorus (90.28%). The biocarrier provided an anoxia, contributing to the denitrification with a satisfying nitrogen removal. The regularity of the reaction system fluidization was boosted by biocarriers in the BBM, which benefited the accumulation of chlorophyll a and MLSS. Moreover, the BBM obtained the highest polysaccharide (413.39 mg/L) accumulation. The adhesion of polysaccharide accelerated the bacterial–microbial floc formation, improving the biological flocculation in the BBM. Additionally, biocarriers resulted in a significant bacterial community shift, and the enrichment of Rhodobacteraceae and Ruegeria promoted the pollutant degradation in the BBM. The novel BBM has potential for actual mariculture wastewater treatment. However, there is a lack of research on the treatment of mariculture wastewater by the BBM and BM at the genetic level. The mechanism of nitrogen and phosphorus degradation in high-salinity wastewater can be understood more clearly through the genetic analysis of the nitrogen and phosphorus transformation pathway. It provides a theoretical basis for the future practical application of the BBM.

Author Contributions

Data curation, L.L.; formal analysis, L.L.; investigation, Y.J.; methodology, X.Q. and W.L.; resources, H.T.; supervision, W.G., B.X., G.Z. and M.Z.; validation, L.G. and J.L.; writing—original draft, L.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Fund of China (No. 52100036, No. 52400027), the Natural Science Foundation of Shandong Province of China (No. ZR2021QE119, ZR2023ME212), the Open Project of State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology (QA202443), the Taishan Industrial Experts Program and the Double First-class Discipline Construction Fund Project of Harbin Institute of Technology at Weihai (2023SYLHY13).

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

  1. Duan, N.; Yu, X.; Jiang, Z.; Chen, H.; Feng, H.; Kang, Y.; Ma, H.; Zhu, H. Impacts of an intensive traditional mariculture model on offshore environments as evidenced by dissolved organic matter and bacterial communities. Water Res. 2024, 267, 122530. [Google Scholar] [CrossRef] [PubMed]
  2. Gao, Y.; Guo, L.; Jin, C.; Zhao, Y.; Gao, M.; She, Z.; Wang, G. Metagenomics and network analysis elucidating the coordination between fermentative bacteria and microalgae in a novel bacterial-algal coupling reactor (BACR) for mariculture wastewater treatment. Water Res. 2022, 215, 118256. [Google Scholar] [CrossRef] [PubMed]
  3. Lu, S.; Wang, Q.; Gao, M.; Zhao, C.; She, Z.; Zhao, Y.; Jin, C.; Guo, L. Effect of aerobic/anoxic duration on the performance, microbial activity and microbial community of sequencing batch biofilm reactor treating synthetic mariculture wastewater. Bioresour. Technol. 2021, 333, 125198. [Google Scholar] [CrossRef] [PubMed]
  4. Kashem, A.H.M.; Das, P.; Hawari, A.H.; Mehariya, S.; Thaher, M.I.; Khan, S.; Abduquadir, M.; Al-Jabri, H. Aquaculture from inland fish cultivation to wastewater treatment: A review. Rev. Environ. Sci. Bio/Technol. 2023, 22, 969–1008. [Google Scholar] [CrossRef]
  5. Zhu, J.; You, H.; Li, Z.; Xie, B.; Chen, H.; Ding, Y.; Qi, S.; Li, W.; Ma, B.; Qu, X.; et al. Comparison on the photogranules formation and microbial community shift between the batch and continuous-flow mode for the high saline wastewater treatment. Chem. Eng. J. 2022, 446, 137284. [Google Scholar] [CrossRef]
  6. Chen, Z.; Xie, Y.; Qiu, S.; Li, M.; Yuan, W.; Ge, S. Granular indigenous microalgal-bacterial consortium for wastewater treatment: Establishment strategy, functional microorganism, nutrient removal, and influencing factor. Bioresour. Technol. 2022, 353, 127130. [Google Scholar] [CrossRef]
  7. Huang, F.; Teng, J.; Zhao, Y.; Li, S.; Lin, H.; Cai, X.; Zhang, M. Biochar-driven fouling mitigation in sustainable microalgal-bacterial membrane bioreactors. J. Membr. Sci. 2024, 714, 123427. [Google Scholar] [CrossRef]
  8. Cao, B.; Zhang, T.; Zhang, W.; Wang, D. Enhanced technology based for sewage sludge deep dewatering: A critical review. Water Res. 2021, 189, 116650. [Google Scholar] [CrossRef]
  9. Tecirli, E.S.; Akgun, K.; Caglak, A.; Sari Erkan, H.; Onkal Engin, G. Treatment of textile wastewater in a single-step moving bed-membrane bioreactor: Comparison with conventional membrane bioreactor in terms of performance and membrane fouling. Water Environ. J. 2024, 38, 465–480. [Google Scholar] [CrossRef]
  10. Banti, D.C.; Samaras, P.; Chioti, A.G.; Mitsopoulos, A.; Tsangas, M.; Zorpas, A.; Sfetsas, T. Improvement of MBBR Performance by the Addition of 3D-Printed Biocarriers Fabricated with 13X and Bentonite. Resources 2023, 12, 81. [Google Scholar] [CrossRef]
  11. Lu, M.; Zhao, F.; Qin, F.; Zhang, F.; Feng, Q.; Guo, R. Novel flocking materials as biocarriers in moving bed biofilm reactor for improving simultaneous nitrification and denitrification performance. Bioresour. Technol. 2024, 396, 130430. [Google Scholar] [CrossRef] [PubMed]
  12. Zhu, J.; You, H.; Li, Z.; Ding, Y.; Liu, F.; Zhang, C.; Wang, S.; Gu, Y.; Chen, F.; Ma, B. Impacts of bio-carriers on the characteristics of soluble microbial products in a hybrid membrane bioreactor for treating mariculture wastewater. Sci. Total Environ. 2020, 737, 140287. [Google Scholar] [CrossRef]
  13. Radmehr, S.; Kallioinen-Mänttäri, M.; Mänttäri, M. Interplay role of microalgae and bio-carriers in hybrid membrane bioreactors on wastewater treatment, membrane fouling, and microbial communities. Environ. Pollut. 2023, 339, 122764. [Google Scholar] [CrossRef] [PubMed]
  14. Xie, Y.; Khoo, K.S.; Chew, K.W.; Devadas, V.V.; Phang, S.J.; Lim, H.R.; Rajendran, S.; Show, P.L. Advancement of renewable energy technologies via artificial and microalgae photosynthesis. Bioresour. Technol. 2022, 363, 127830. [Google Scholar] [CrossRef]
  15. Zhou, Y.; Liu, L.; Li, M.; Hu, C. Algal biomass valorisation to high-value chemicals and bioproducts: Recent advances, opportunities and challenges. Bioresour. Technol. 2022, 344, 126371. [Google Scholar] [CrossRef] [PubMed]
  16. Liu, S.; Kong, Z.; Guo, H.; Zhang, Y.; Han, X.; Gao, Y.; Daigger, G.T.; Zhang, G.; Li, R.; Liu, Y. Performance, mechanism regulation and resource recycling of bacteria-algae symbiosis system for wastewater treatment: A review. Environ. Pollut. 2024, 362, 125019. [Google Scholar] [CrossRef]
  17. Zhu, J.; You, H.; Ng, H.Y.; Li, Z.; Xie, B.; Chen, H.; Ding, Y.; Tan, H.; Liu, F.; Zhang, C. Impacts of bio-carriers on the characteristics of cake layer and membrane fouling in a novel hybrid membrane bioreactor for treating mariculture wastewater. Chemosphere 2022, 300, 134593. [Google Scholar] [CrossRef]
  18. Chen, H.; Liu, G.; Wang, K.; Piao, C.; Ma, X.; Li, X.-K. Characteristics of microbial community in EGSB system treating with oxytetracycline production wastewater. J. Environ. Manag. 2021, 295, 113055. [Google Scholar] [CrossRef]
  19. Lowry, O.; Rosebrough, N.; Farr, A.L.; Randall, R. Protein Measurement with the Folin Phenol Reagent. J. Biol. Chem. 1951, 193, 265–275. [Google Scholar] [CrossRef]
  20. Cheetham, N.W.; Punruckvong, A. An HPLC method for the determination of acetyl and pyruvyl groups in polysaccharides. Carbohydr. Polym. 1985, 5, 399–406. [Google Scholar] [CrossRef]
  21. Bui, X.-T.; Nguyen, T.-T.; Ngo, H.H.; Lin, K.Y.A.; Lin, C.; Le, L.-T.; Dang, B.-T.; Bui, M.-H.; Varjani, S. Co-culture of microalgae-activated sludge in sequencing batch photobioreactor systems: Effects of natural and artificial lighting on wastewater treatment. Bioresour. Technol. 2022, 343, 126091. [Google Scholar]
  22. Wang, K.W.; Liu, W.Z.; Kang, D.; Zhang, Y.X.; Cui, D. Hybrid bioreactor built-in with fixed bio-carriers for denitrification with low C/N ratio: Hydrodynamic optimization and microbial divergence. Environ. Res. 2023, 224, 115510. [Google Scholar] [CrossRef]
  23. Sun, L.; Bai, Z.; Yang, Q.; Fu, R.; Li, H.; Li, X. In situ assessment of the initial phase of wastewater biofilm formation: Effect of the presence of algae in an aerobic bacterial biofilm system. Water Res. 2024, 253, 121283. [Google Scholar] [CrossRef] [PubMed]
  24. Battulga, B.; Nakayama, M.; Matsuoka, S.; Kondo, T.; Atarashi-Andoh, M.; Koarashi, J. Dynamics and functions of microbial communities in the plastisphere in temperate coastal environments. Water Res. 2024, 264, 122207. [Google Scholar] [CrossRef] [PubMed]
  25. Gao, F.; Zhou, X.; Ma, Y.; Zhang, X.; Rong, X.; Xiao, X.; Wu, Z.; Wei, J. Calcium modified basalt fiber bio-carrier for wastewater treatment: Investigation on bacterial community and nitrogen removal enhancement of bio-nest. Bioresour. Technol. 2021, 335, 125259. [Google Scholar] [CrossRef]
  26. Zhang, H.; Wang, H.; Jie, M.; Zhang, K.; Qian, Y.; Ma, J. Performance and microbial communities of different biofilm membrane bioreactors with pre-anoxic tanks treating mariculture wastewater. Bioresour. Technol. 2020, 295, 122302. [Google Scholar] [CrossRef]
  27. Han, F.; Zhou, W. Nitrogen recovery from wastewater by microbial assimilation—A review. Bioresour. Technol. 2022, 363, 127933. [Google Scholar] [CrossRef]
  28. Cao, J.; Chen, F.; Fang, Z.; Gu, Y.; Wang, H.; Lu, J.; Bi, Y.; Wang, S.; Huang, W.; Meng, F. Effect of filamentous algae in a microalgal-bacterial granular sludge system treating saline wastewater: Assessing stability, lipid production and nutrients removal. Bioresour. Technol. 2022, 354, 127182. [Google Scholar] [CrossRef]
  29. Feng, S.; Liu, F.; Zhu, S.; Feng, P.; Wang, Z.; Yuan, Z.; Shang, C.; Chen, H. Performance of a microalgal-bacterial consortium system for the treatment of dairy-derived liquid digestate and biomass production. Bioresour. Technol. 2020, 306, 123101. [Google Scholar] [CrossRef]
  30. Jiang, L.; Li, Y.; Pei, H. Algal–bacterial consortia for bioproduct generation and wastewater treatment. Renew. Sustain. Energy Rev. 2021, 149, 111395. [Google Scholar] [CrossRef]
  31. Tang, C.-C.; Hu, Y.-R.; He, Z.-W.; Li, Z.-H.; Tian, Y.; Wang, X.C. Promoting symbiotic relationship between microalgae and bacteria in wastewater treatment processes: Technic comparison, microbial analysis, and future perspectives. Chem. Eng. J. 2024, 498, 155703. [Google Scholar] [CrossRef]
  32. Sheng, G.P.; Yu, H.Q.; Li, X.Y. Extracellular polymeric substances (EPS) of microbial aggregates in biological wastewater treatment systems: A review. Biotechnol. Adv. 2010, 28, 882–894. [Google Scholar] [CrossRef] [PubMed]
  33. Shang, J.; Li, Y.; Zhang, W.; Ma, X.; Niu, L.; Wang, L.; Zheng, J. Hysteretic and asynchronous regime shifts of bacterial and micro-eukaryotic communities driven by nutrient loading. Water Res. 2024, 261, 122045. [Google Scholar] [CrossRef] [PubMed]
  34. Qv, M.; Dai, D.; Liu, D.; Wu, Q.; Tang, C.; Li, S.; Zhu, L. Towards advanced nutrient removal by microalgae-bacteria symbiosis system for wastewater treatment. Bioresour. Technol. 2023, 370, 128574. [Google Scholar] [CrossRef]
  35. Su, Y.; Zhu, X.; Zou, R.; Zhang, Y. The interactions between microalgae and wastewater indigenous bacteria for treatment and valorization of brewery wastewater. Resour. Conserv. Recycl. 2022, 182, 106341. [Google Scholar] [CrossRef]
  36. Mahto, K.U.; Das, S. Bacterial biofilm and extracellular polymeric substances in the moving bed biofilm reactor for wastewater treatment: A review. Bioresour. Technol. 2022, 345, 126476. [Google Scholar] [CrossRef]
  37. Deena, S.R.; Kumar, G.; Vickram, A.; Singhania, R.R.; Dong, C.D.; Rohini, K.; Anbarasu, K.; Thanigaivel, S.; Ponnusamy, V.K. Efficiency of various biofilm carriers and microbial interactions with substrate in moving bed-biofilm reactor for environmental wastewater treatment. Bioresour. Technol. 2022, 359, 127421. [Google Scholar]
  38. Segredo-Morales, E.; González, E.; González-Martín, C.; Vera, L. Secondary wastewater effluent treatment by microalgal-bacterial membrane photobioreactor at long solid retention times. J. Water Process Eng. 2022, 49, 103200. [Google Scholar] [CrossRef]
  39. Qian, J.; Wan, T.; Ye, Y.; Li, J.; Toda, T.; Li, H.; Sekine, M.; Takayama, Y.; Koga, S.; Shao, S. Insight into the formation mechanism of algal biofilm in soy sauce wastewater. J. Clean. Prod. 2023, 394, 136179. [Google Scholar] [CrossRef]
  40. Sun, Y.; Ali, A.; Zheng, Z.; Su, J.; Zhang, S.; Min, Y.; Liu, Y. Denitrifying bacteria immobilized magnetic mycelium pellets bioreactor: A new technology for efficient removal of nitrate at a low carbon-to-nitrogen ratio. Bioresour. Technol. 2022, 347, 126369. [Google Scholar] [CrossRef]
  41. Xu, B.; Ng, T.C.A.; Huang, S.; Ng, H.Y. Effect of quorum quenching on EPS and size-fractioned particles and organics in anaerobic membrane bioreactor for domestic wastewater treatment. Water Res. 2020, 179, 115850. [Google Scholar] [CrossRef] [PubMed]
  42. Chen, Z.; Qiu, S.; Yu, Z.; Li, M.; Ge, S. Enhanced secretions of algal cell-adhesion molecules and metal ion-binding exoproteins promote self-flocculation of Chlorella sp. cultivated in municipal wastewater. Environ. Sci. Technol. 2021, 55, 11916–11924. [Google Scholar] [CrossRef] [PubMed]
  43. Ye, J.; Liang, J.; Wang, L.; Markou, G.; Jia, Q. Operation optimization of a photo-sequencing batch reactor for wastewater treatment: Study on influencing factors and impact on symbiotic microbial ecology. Bioresour. Technol. 2018, 252, 7–13. [Google Scholar] [CrossRef]
  44. Zhang, M.; Wang, Y.; Fan, Y.; Liu, Y.; Yu, M.; He, C.; Wu, J. Bioaugmentation of low C/N ratio wastewater: Effect of acetate and propionate on nutrient removal, substrate transformation, and microbial community behavior. Bioresour. Technol. 2020, 306, 122465. [Google Scholar] [CrossRef]
  45. Liu, L.; Zeng, Z.; Bee, M.; Gibson, V.; Wei, L.; Huang, X.; Liu, C. Characteristics and performance of aerobic algae-bacteria granular consortia in a photo-sequencing batch reactor. J. Hazard. Mater. 2018, 349, 135–142. [Google Scholar] [CrossRef] [PubMed]
  46. Alam, M.M.; Hodaei, M.; Hartnett, E.; Gincley, B.; Khan, F.; Kim, G.-Y.; Pinto, A.J.; Bradley, I.M. Community structure and function during periods of high performance and system upset in a full-scale mixed microalgal wastewater resource recovery facility. Water Res. 2024, 259, 121819. [Google Scholar] [CrossRef]
  47. Unnithan, V.V.; Unc, A.; Smith, G.B. Mini-review: A priori considerations for bacteria–algae interactions in algal biofuel systems receiving municipal wastewaters. Algal Res. 2014, 4, 35–40. [Google Scholar] [CrossRef]
  48. Zhang, X.; Zhao, B.; Meng, J.; Zhou, A.; Yue, X.; Niu, Y.; Cui, Y. Efficiency, granulation, and bacterial populations related to pollutant removal in an upflow microaerobic sludge reactor treating wastewater with low COD/TN ratio. Bioresour. Technol. 2018, 270, 147–155. [Google Scholar] [CrossRef]
  49. Blair, M.F.; Vaidya, R.; Salazar-Benites, G.; Bott, C.B.; Pruden, A. Relating microbial community composition to treatment performance in an ozone-biologically active carbon filtration potable reuse treatment train. Water Res. 2024, 262, 122091. [Google Scholar] [CrossRef]
  50. Galès, A.; Bonnafous, A.; Carré, C.; Jauzein, V.; Lanouguère, E.; Le Floc’h, E.; Pinoit, J.; Poullain, C.; Roques, C.; Sialve, B. Importance of ecological interactions during wastewater treatment using high rate algal ponds under different temperate climates. Algal Res. 2019, 40, 101508. [Google Scholar] [CrossRef]
  51. Quartaroli, L.; Silva, C.M.; Silva, L.C.F.; Lima, H.S.; de Paula, S.O.; Dias, R.S.; Carvalho, K.B.; Souza, R.S.; Bassin, J.P.; da Silva, C.C. Effect of the gradual increase of salt on stability and microbial diversity of granular sludge and ammonia removal. J. Environ. Manag. 2019, 248, 109273. [Google Scholar] [CrossRef]
  52. Zhang, Q.; Zhang, C.; Zhu, Y.; Yuan, C.; Zhao, T. Effect of bacteria-to-algae volume ratio on treatment performance and microbial community of a novel heterotrophic nitrification-aerobic denitrification bacteria-chlorella symbiotic system. Bioresour. Technol. 2021, 342, 126025. [Google Scholar] [CrossRef]
  53. Meng, F.; Huang, W.; Liu, D.; Zhao, Y.; Huang, W.; Lei, Z.; Zhang, Z. Application of aerobic granules-continuous flow reactor for saline wastewater treatment: Granular stability, lipid production and symbiotic relationship between bacteria and algae. Bioresour. Technol. 2020, 295, 122291. [Google Scholar] [CrossRef]
  54. Zhang, L.; Wang, J.; Fu, G.; Zhang, Z. Simultaneous electricity generation and nitrogen and carbon removal in single-chamber microbial fuel cell for high-salinity wastewater treatment. J. Clean. Prod. 2020, 276, 123203. [Google Scholar] [CrossRef]
  55. Wang, G.; Yin, X.; Feng, Z.; Chen, C.; Chen, D.; Wu, B.; Liu, C.; Morel, J.L.; Jiang, Y.; Yu, H. Novel biological aqua crust enhances in situ metal (loid) bioremediation driven by phototrophic/diazotrophic biofilm. Microbiome 2023, 11, 110. [Google Scholar] [CrossRef]
  56. Izadi, P.; Izadi, P.; Eldyasti, A. Design, operation and technology configurations for enhanced biological phosphorus removal (EBPR) process: A review. Rev. Environ. Sci. Bio/Technol. 2020, 19, 561–593. [Google Scholar] [CrossRef]
  57. Boelee, N.; Temmink, H.; Janssen, M.; Buisman, C.; Wijffels, R. Balancing the organic load and light supply in symbiotic microalgal–bacterial biofilm reactors treating synthetic municipal wastewater. Ecol. Eng. 2014, 64, 213–221. [Google Scholar] [CrossRef]
  58. Ji, B.; Zhang, M.; Gu, J.; Ma, Y.; Liu, Y. A self-sustaining synergetic microalgal-bacterial granular sludge process towards energy-efficient and environmentally sustainable municipal wastewater treatment. Water Res. 2020, 179, 115884. [Google Scholar] [CrossRef]
  59. Ji, J.; Peng, Y.; Wang, B.; Mai, W.; Li, X.; Zhang, Q.; Wang, S. Effects of salinity build-up on the performance and microbial community of partial-denitrification granular sludge with high nitrite accumulation. Chemosphere 2018, 209, 53–60. [Google Scholar] [CrossRef]
  60. Ji, B.; Liu, Y. Assessment of microalgal-bacterial granular sludge process for environmentally sustainable municipal wastewater treatment. Acs EsT Water 2021, 1, 2459–2469. [Google Scholar] [CrossRef]
  61. Petrini, S.; Foladori, P.; Donati, L.; Andreottola, G. Comprehensive respirometric approach to assess photosynthetic, heterotrophic and nitrifying activity in microalgal-bacterial consortia treating real municipal wastewater. Biochem. Eng. J. 2020, 161, 107697. [Google Scholar] [CrossRef]
  62. Meng, H.; Zhang, X.; Zhou, Z.; Luo, L.; Lan, W.; Lin, J.-G.; Li, X.-Y.; Gu, J.-D. Simultaneous occurrence and analysis of both anammox and n-damo bacteria in five full-scale wastewater treatment plants. Int. Biodeterior. Biodegrad. 2021, 156, 105112. [Google Scholar] [CrossRef]
  63. Wang, L.; Hong, Y.; Gu, J.-D.; Wu, J.; Yan, J.; Lin, J.-G. Influence of critical factors on nitrogen removal contribution by anammox and denitrification in an anammox-inoculated wastewater treatment system. J. Water Process Eng. 2021, 40, 101868. [Google Scholar] [CrossRef]
  64. Kang, D.; Kim, K.; Jang, Y.; Moon, H.; Ju, D.; Kwon, G.; Jahng, D. Enhancement of wastewater treatment efficiency through modulation of aeration and blue light on wastewater-borne algal-bacterial consortia. Int. Biodeterior. Biodegrad. 2018, 135, 9–18. [Google Scholar] [CrossRef]
  65. Rossi, S.; Díez-Montero, R.; Rueda, E.; Cascino, F.C.; Parati, K.; García, J.; Ficara, E. Free ammonia inhibition in microalgae and cyanobacteria grown in wastewaters: Photo-respirometric evaluation and modelling. Bioresour. Technol. 2020, 305, 123046. [Google Scholar] [CrossRef]
  66. Wang, H.; Deng, L.; Qi, Z.; Wang, W. Constructed microalgal-bacterial symbiotic (MBS) system: Classification, performance, partnerships and perspectives. Sci. Total Environ. 2022, 803, 150082. [Google Scholar] [CrossRef]
Figure 1. Reactor diagram.
Figure 1. Reactor diagram.
Water 17 01127 g001
Figure 2. Mariculture wastewater treatment performance between the BBM and BM: (a) TOC, (b) NH4+-N and (c) TP.
Figure 2. Mariculture wastewater treatment performance between the BBM and BM: (a) TOC, (b) NH4+-N and (c) TP.
Water 17 01127 g002
Figure 3. The accumulation of changes in Chlorophyll a accumulation and biomass production: (a) MLSS accumulation and (b) Chlorophyll a content.
Figure 3. The accumulation of changes in Chlorophyll a accumulation and biomass production: (a) MLSS accumulation and (b) Chlorophyll a content.
Water 17 01127 g003
Figure 4. The PN and PS concentration variation during the operation period: (a) BBM-SMP, (b) BBM-EPS, (c) BM-SMP, (d) BM-EPS.
Figure 4. The PN and PS concentration variation during the operation period: (a) BBM-SMP, (b) BBM-EPS, (c) BM-SMP, (d) BM-EPS.
Water 17 01127 g004
Figure 5. Figure shows 3D-EEM spectra profiles of SMP and EPS on the bacterial–microbial system: (a) BBM-SMP, (b) BBM-EPS, (c) BM-SMP, (d) BM-EPS.
Figure 5. Figure shows 3D-EEM spectra profiles of SMP and EPS on the bacterial–microbial system: (a) BBM-SMP, (b) BBM-EPS, (c) BM-SMP, (d) BM-EPS.
Water 17 01127 g005
Figure 6. Relative abundances of the bacterial taxonomic groups at (a) the phylum level, (b) the class level and (c) the genus level.
Figure 6. Relative abundances of the bacterial taxonomic groups at (a) the phylum level, (b) the class level and (c) the genus level.
Water 17 01127 g006
Figure 7. Impact of mechanism of biocarriers on the bacterial–microbial consortium for pollutant removal (AOB: ammonia-oxidizing bacteria; NOB: nitrite-oxidizing bacteria; AMX: anammox bacteria; DNF: denitrifying bacteria; PAOs: phosphate-accumulating organisms).
Figure 7. Impact of mechanism of biocarriers on the bacterial–microbial consortium for pollutant removal (AOB: ammonia-oxidizing bacteria; NOB: nitrite-oxidizing bacteria; AMX: anammox bacteria; DNF: denitrifying bacteria; PAOs: phosphate-accumulating organisms).
Water 17 01127 g007
Table 1. Mass balance of carbon and nitrogen in BBM and BM.
Table 1. Mass balance of carbon and nitrogen in BBM and BM.
Organic MatterBBMBM
Influent Carbon100100
Influent Nitrogen100100
Effluent C11.3813.34
Effluent N20.6729.50
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Li, L.; Qu, X.; Gong, W.; Guo, L.; Xie, B.; Li, W.; Zhang, G.; Tan, H.; Jia, Y.; Liang, J.; et al. The Impact of the Mechanism of Biocarriers on Bacterial–Microbial Symbiosis for Mariculture Wastewater Treatment: Performance and Microbial Community Evolution. Water 2025, 17, 1127. https://doi.org/10.3390/w17081127

AMA Style

Li L, Qu X, Gong W, Guo L, Xie B, Li W, Zhang G, Tan H, Jia Y, Liang J, et al. The Impact of the Mechanism of Biocarriers on Bacterial–Microbial Symbiosis for Mariculture Wastewater Treatment: Performance and Microbial Community Evolution. Water. 2025; 17(8):1127. https://doi.org/10.3390/w17081127

Chicago/Turabian Style

Li, Lingjie, Xiankun Qu, Weijia Gong, Lin Guo, Binghan Xie, Weirun Li, Guoyu Zhang, Haili Tan, Yuhong Jia, Jiahao Liang, and et al. 2025. "The Impact of the Mechanism of Biocarriers on Bacterial–Microbial Symbiosis for Mariculture Wastewater Treatment: Performance and Microbial Community Evolution" Water 17, no. 8: 1127. https://doi.org/10.3390/w17081127

APA Style

Li, L., Qu, X., Gong, W., Guo, L., Xie, B., Li, W., Zhang, G., Tan, H., Jia, Y., Liang, J., & Zheng, M. (2025). The Impact of the Mechanism of Biocarriers on Bacterial–Microbial Symbiosis for Mariculture Wastewater Treatment: Performance and Microbial Community Evolution. Water, 17(8), 1127. https://doi.org/10.3390/w17081127

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop