Seasonal Dynamics Are the Major Driver of Microbial Diversity and Composition in Intensive Freshwater Aquaculture

Decoupling of diversity and network complexity of bacterial communities during water quality deterioration

Numerous studies have examined the impact of water quality degradation on bacterial community structure, yet insights into its effects on the bacterial ecological networks remain scarce. In this study, we investigated the diversity, composition, assembly patterns, ecological networks, and environmental determinants of bacterial communities across 20 ponds to understand the impact of water quality degradation. Our findings revealed that water quality degradation significantly reduces the α-diversity of bacterial communities in water samples, while sediment samples remain unaffected. Additionally, water quality deterioration increases the complexity of bacterial networks in water samples but reduces it in sediment samples. These shifts in bacterial communities were primarily governed by deterministic processes, with heterogeneous selection being particularly influential. Through redundancy analysis (RDA), multiple regression on matrices (MRM), and Mantel tests, we identified dissolved oxygen (DO), ammonium nitrogen (NH4+-N), and C/N ratio as key factors affecting the composition and network complexity of bacterial communities in both water and sediment. Overall, this study contributes a novel perspective on the effect of water quality deterioration on microbial ecosystems and provides valuable insights for improving ecological evaluations and biomonitoring practices related to water quality management.

Seasonal and regional differences of heavy metals and nutrients from the five mariculture areas of large yellow croaker: Implications for environmental and fish quality

Cage culture is a widely practiced aquaculture method in rivers, lakes, reservoirs, bays, and coastal areas, which generates significant economic benefits but also leads to ecological degradation and negatively impacting fish quality. Previous studies have highlighted substantial variations in fish quality across diverse cage culture regions. This study evaluated water quality, trophic status, heavy metal pollution in sediment and fish from five major large yellow croaker (Larimichthys crocea) cage culture regions in China -DJ (30°12'00″N, 122°41'54″E), DC (28°28'07″N, 121°51'57″E), DT (27°58'49″N, 121°11'43″E), NJ (27°28'46″N, 121°02'37″E), and ND (26°41'21″N, 119°42'32″E)-over different seasons. Results revealed significant eutrophication and poor water quality in the ND aquaculture area, characterized by high nutrient concentrations, low pH, and dissolved oxygen. Heavy metal analysis showed that sediments in ND contained the highest levels of Fe, Cu, Hg, Cd, Pb, and Cr, with the muscle of L. crocea in ND exhibiting elevated levels of Cd, Fe, and As, posing potential ecological risks. In contrast, other aquaculture areas, particularly NJ, exhibited lower pollution levels in water, sediment, and fish muscle, reflecting a more favorable environment for fish farming compared to ND. Seasonal analysis showed a decline in essential metals (Ca, Fe, Cu, Zn) during summer, with recovery in autumn and winter, while toxic metals (As, Cd, Pb, Hg) accumulated in autumn and winter. Additionally, Trophic levels in water and sediments peaked in summer and autumn, displaying region-specific variations. Some correlations between sediment-water nutrients and sediment-fish muscle metals further emphasized the interconnections among sediments, water, and biological systems. These findings emphasize the necessity of enhanced management practices to mitigate pollution and promote sustainable aquaculture.

Impacts of aquaculture on nitrogen cycling and microbial community dynamics in coastal tidal flats

The expansion of aquaculture areas has encroached upon vast areas of coastal wetlands and introduced excessive nitrogen inputs, disrupting microbial communities and contributing to various environmental issues. However, investigations on how aquaculture affects microbial communities and nitrogen metabolism mechanisms in coastal tidal flats remain scarce. Hence, we explored the composition, diversity, and assembly processes of nitrogen-cycling (N-cycling) microbial communities in tidal flats in Jiangsu using metagenomic assembly methods. Our study further delved into the seasonal variations of these microbial characteristics to better explore the effects of seasonal changes in aquaculture areas on microbial community. Nitrogen metabolism-related processes and functional genes were identified through the KEGG and NCyc databases. The results revealed significant seasonal variation in the relative abundance and composition of microbial communities. Higher diversity was observed in winter, while the co-occurrence network of microbial communities was more complex in summer. Pseudomonadota emerged as the most abundant phylum in the N-cycling community. Furthermore, pH and NO3-N were identified as the primary factors influencing bacterial community composition, whereas NO2-N was more strongly associated with the N-cycling community. Regarding the nitrogen metabolism processes, nitrogen mineralization and nitrification were predominant in the tidal flat regions. NO2-N and NO3-N exhibited significant effects on several N-cycling functional genes (e.g., nirB, hao, and narG). Finally, neutral and null modeling analyses indicated that bacterial communities were predominantly shaped by stochastic processes, whereas N-cycling communities were largely driven by deterministic processes. These findings highlighted the significant role that aquaculture pollution plays in shaping the N-cycling communities in tidal flats. This underscored the importance of understanding microbial community dynamics and nitrogen metabolism in tidal flats to improve environmental management in coastal aquaculture areas.

Seasonal dynamics and factors shaping microbiomes in freshwater finfish earthen aquaculture ponds in Bangladesh

BACKGROUND

The pondwater microbiome is believed to play a key role in fish health, including shaping mucosal surface microbiomes that help to protect against disease. How different physiochemical features relating to season, geographical locations, as well as crop species shape the pond water microbiome in the finfish aquaculture system, is not well established. Pangasius (Pangasianodon hypophthalmus) and tilapia (Oreochromis niloticus) are two of the most widely farmed fish species and disease is a major impediment to the expansion of their production. We applied 16S and 18S rRNA metabarcoding to assess how pond physicochemistry and geographical location shape water microbiomes in pangasius and tilapia aquaculture earthen ponds in Bangladesh.

RESULTS

Planctomycetota, Pseudomonadota and Actinomycetota were the dominant bacterial phyla while Stramenopiles and Alveolata were the dominant microeukaryotes (divisions) in the pangasius and tilapia ponds water. The relative abundance of Planctomycetota was higher in the pangasius ponds compared with tilapia ponds, and Actinomycetota, and Pseudomonadota were relatively higher in tilapia ponds. Tilapia pond water also exhibited a higher microbial diversity compared to that in pangasius ponds. The pondwater microbial diversity was at its lowest in winter (and/or in monsoon) and highest in the pre-monsoon period. The microbial community structures differed across the different seasons, geographical locations, culture systems, and crop species, with season and geographical locations showing the strongest effects. Of the water physicochemistry features assessed, temperature and pH were found to have a weak but significant effect on the water microbiome content for both pangasius and tilapia ponds. Pangasius and tilapia ponds shared over 46% of ASVs, and around 30% of ASVs were shared across the different study geographical locations.

CONCLUSION

Our findings demonstrate that microbial communities in pangasius and tilapia aquaculture systems in Bangladesh are shaped by season, geographical location, crop species, as well as effects from water physicochemistry. Our results provide insights into the dynamic nature and environmental influences on water microbiomes that may be applied for use in pond management for improving aquaculture productivity and enhancement of overall fish health.

Net cage aquaculture alters the co-occurrence network and functions of bacterial communities in offshore areas

A better understanding of bacterial communities and the factors that drive them is essential to maintain their functions and services. As an ecosystem closely linked to human activities, the health of offshore aquaculture depends on the diversity and functions of bacteria in its environment. However, little attention has been paid to the vertical interface of the offshore aquaculture areas with shellfish net cages. In this study, high-throughput sequencing was used to analyze bacterial communities in different water layers of a net cage scallop farm in the offshore area of Northeast of China. Based on the results, an increased richness of bacterial communities was observed in the water adjacent to the net cages. Meanwhile, apparently different bacterial community compositions were observed among the water layers, with an enrichment of Cyanobacteria, Bacteroidota, and Firmicutes in the water layers above, parallel to, and below the net cages, respectively. According to the predicted functions, the bacterial communities of the water layers above, parallel to, and below the net cages were identified as phototrophy-, chemoheterotrophy-, and nitrogen respiration-dominated. Furthermore, network analysis revealed a complex but unstable bacterial community in the water layer containing the net cage. Finally, partial least squares path modelling revealed that the net cage aquaculture directly influenced the environmental variables and bacterial richness, which further induced the variations in bacterial community composition, and ultimately affected their ecological functions. These results provide a basic understanding of bacterial communities in net cage scallop farms and highlight the effects of offshore aquaculture on variations in ecological functions.

Integrating external stressors in supervised machine learning algorithm achieves high accuracy to predict multi-species biological integrity index of aquaculture wastewater

Monitoring and predicting the environmental impact of wastewater is essential for sustainable aquaculture. The environmental DNA metabarcoding-integrated supervised machine learning (SML) algorithm is an alternative method for ecological quality assessment and prediction. However, the ecological integrity of aquaculture wastewater and available effective input features for prediction remain unclear. Here, we used the multispecies biological integrity index (Ms-IBI) to provide a detailed categorization, identifying over half of the samples (53.85 %) as highly impacted, emphasizing the urgency to address ecological degradation; Ms-IBI emerged as a reliable label for SML models. By condensing 410 effective indicators and integrating 25 core operational taxonomic unit features with external stressors, an accuracy of 0.78 and R2 of 0.96 was achieved. Utilizing only external stressors yielded a comparably good performance with fewer input features, obtaining an accuracy of 0.74 and an R2 of 0.91. The integration of external stressors in this study highlights a practical predictive method that meets the ecological quality requirements of aquaculture wastewater, aiding the reversal of global ecological decline.

Bacterial Communities From Two Freshwater Aquaculture Systems in Northern Germany

The microbial communities in aquaculture systems are primarily affected by changes in water quality, fish metabolism, feeding strategies and fish disease prevention treatments. Monitoring changes in aquatic microbiomes related to aquaculture activities is necessary to improve management strategies and reduce the environmental impact of aquaculture water discharge. This study assessed the effects of activities within two fish farms on water microbiome composition by analysing the water entering and leaving both systems. Additionally, pathogenic bacterial species associated with common fish diseases were identified. The abundance, diversity and identity of microorganisms were evaluated using 16S rRNA hypervariable gene region amplicon sequencing. Proteobacteria (38.2%) and Bacteroidetes (31.3%) were the most abundant phyla in all water samples. Changes in microbiome composition after passage through the fish tanks were observed in several taxa, such as Nitrospirae, Chloroflexi, Deferribacteres and Cyanobacteria. Flavobacterium sp. and Pseudomonas sp. were the predominant potential pathogens and heterotrophic bacteria detected in both farms. Several chemolithotrophic bacteria and archaea were found in the natural reservoir used for aquaculture activities, while water microbiomes in the aquaculture systems were generally dominated by heterotrophic organisms.

Restore polder and aquaculture enclosure to the lake: Balancing environmental protection and economic growth for sustainable development

The restoration of lakes and their buffer zones is crucial for understanding the intricate interplay between human activities and natural ecosystems resulting from the implementation of environmental policies. In this study, we investigated the ecological restoration of shallow lakes and buffer zones in the Yangtze-Huaihe River Basin, specifically focusing on the removal of polder and aquaculture enclosure areas within the lakes. By examining data from eight shallow lakes and their corresponding buffer zones, encompassing lake morphology, water quality parameters, and land use/land cover (LULC) data spanning from 2008 to 2022, which shed light on the complex relationships involved. During the process of restoring polder and aquaculture enclosure areas, we observed a general decrease in the extent of polders and aquaculture enclosures within the lakes. Notably, the removal of aquaculture enclosures had a more pronounced effect (reduction rate of 83.37 %) compared to the withdrawal of polders (reduction rate of 48.76 %). Linear regression analysis revealed a significant decrease in the concentrations of seven water quality parameters, including COD, CODMn, TN, TP, NH3-N, Chl-a, and F, while pH and DO factors exhibit a distinct increasing trend. The results of redundancy analysis and Pearson correlation analysis demonstrated significant correlations between the area of polders and aquaculture enclosures and the changes in lake water quality. Encouragingly, the withdrawal of polders and the removal of aquaculture enclosures had a positive impact on the lake water quality improvement. In contrast, the LULC in the buffer zones of the lakes experienced a gradual decline owing to land degradation, resulting in a reduction in ecosystem service value (ESV). These results offer valuable support for policymakers in their endeavors to restore lake water quality, mitigate the degradation of buffer zones land, and promote the sustainable development of land and water resources.

Blue revolution turning green? A global concern of cyanobacteria and cyanotoxins in freshwater aquaculture: A literature review

To enhance productivity, aquaculture is intensifying, with high-density fish ponds and increased feed input, contributing to nutrient load and eutrophication. Climate change further exacerbates cyanobacterial blooms and cyanotoxin production that affect aquatic organisms and consumers. A review was conducted to outline this issue from its inception - eutrophication, cyanobacterial blooms, their harmful metabolites and consequential effects (health and economic) in aquacultures. The strength of evidence regarding the relationship between cyanobacteria/cyanotoxins and potential consequences in freshwater aquacultures (fish production) globally were assessed as well, while identifying knowledge gaps and suggesting future research directions. With that aim several online databases were searched through June 2023 (from 2000), and accessible publications conducted in aquacultures with organisms for human consumption, reflecting cyanotoxin exposure, were selected. Data on cyanobacteria/cyanotoxins in aquacultures and its products worldwide were extracted and analyzed. Selected 63 papers from 22 countries were conducted in Asia (48%), Africa (22%), America (22%) and Europe (8%). Microcystis aeruginosa was most frequent, among over 150 cyanobacterial species. Cyanobacterial metabolites (mostly microcystins) were found in aquaculture water and fish from 18 countries (42 and 33 papers respectively). The most affected were small and shallow fish ponds, and omnivorous or carnivorous fish species. Cyanotoxins were detected in various fish organs, including muscles, with levels exceeding the tolerable daily intake in 60% of the studies. The majority of research was done in developing countries, employing less precise detection methods, making the obtained values estimates. To assess the risk of human exposure, the precise levels of all cyanotoxins, not just microcystins are needed, including monitoring their fate in aquatic food chains and during food processing. Epidemiological research on health consequences, setting guideline values, and continuous monitoring are necessary as well. Further efforts should focus on methods for elimination, prevention, and education.

Intensification of harmful cyanobacterial blooms in a eutrophic, temperate lake caused by nitrogen, temperature, and CO2

Warmer temperatures can significantly increase the intensity of cyanobacterial harmful algal blooms (CHABs) in eutrophic freshwater ecosystems. However, few studies have examined the effects of CO2 enrichment in tandem with elevated temperature and/or nutrients on cyanobacterial taxa in freshwater ecosystems. Here, we observed changes in the biomass of cyanobacteria, nutrients, pH, and carbonate chemistry over a two-year period in a shallow, eutrophic freshwater lake and performed experiments to examine the effects and co-effects of CO2, temperature, and nutrient enrichment on cyanobacterial and N2-fixing (diazotrophic) communities assessed via high throughput sequencing of the 16S rRNA and nifH genes, respectively. During both years, there were significant CHABs (50-500 μg cyanobacterial chlorophyll-a L-1) and lake CO2 levels were undersaturated (≤300 μatm pCO2). NH4+ significantly increased the net growth rates of cyanobacteria as well as the biomass of the diazotrophic cyanobacterial order Nostocales under elevated and ambient CO2 conditions. In a fall experiment, the N2 fixation rates of Nostocales were significantly higher when populations were enriched with CO2 and P, relative to CO2-enriched populations that were not amended with P. During a summer experiment, N2 fixation rates increased significantly under N and CO2 - enriched conditions relative to N-enriched and ambient CO2 conditions. Nostocales dominated the diazotrophic communities of both experiments, achieving the highest relative abundance under CO2-enriched conditions when N was added in the first experiment and when CO2 and temperature were elevated in the second experiment, when N2 fixation rates also increased significantly. Collectively, this study indicates that N promotes cyanobacterial blooms including those formed by Dolichospermum and that the biomass and N2 fixation rates of diazotrophic cyanobacterial taxa may benefit from enhanced CO2 levels in eutrophic lakes.

Gross yield driving the mass fluxes of fishery drugs: Evidence of occurrence from full aquaculture cycle in lower Yangtze River Basin

Expanding aquaculture has generated pollutants like fishery drugs in wastewater, which affects the aquatic environments and hinders sustainable development of aquaculture. To evaluate the occurrence, mass fluxes and production factors of fishery drugs in aquaculture, full-aquaculture-cycle monitoring in finfish and crustacean wastewater was conducted in the lower Yangtze River Basin, and 28 pesticides and 15 antibiotics were detected. The results showed that individual fishery drugs varied from ppt to ppb levels. Among them, sulfonamides were dominant with a mean concentration of 105.95 ± 4.13 ng·L-1 in finfish aquacultural wastewater, and insecticides were prevailing in crustacean aquacultural wastewater with a content of 146.56 ± 0.66 ng·L-1. Since the susceptibility to finfish disease determined the aquaculture practice, there were significant differences between two types of aquacultural wastewater. Finfish aquacultural wastewater contained more drugs and reached peak earlier in rapid-growth period, yet crustacean aquacultural wastewater peaked at the harvest period, to prevent against disease. Meanwhile, higher ecological risk, especially for florfenicol, were found in finfish wastewater. With 6 production factors from Good Aquaculture Practice, the gross yield was the most influential factor of drug mass flux, explaining 98 % variance by stepwise regression. Apart from increasing concentrations of fishery drugs in wastewater, regional high-yield aquaculture also significantly impacted the corresponding mass flux. As estimated by linear regression, 1.63 tons of target drugs would be discharged by 1 Mt. aquatic products, and 7.77 tons were discharged from aquaculture in the lower Yangtze River Basin in 2021. This is the first report to quantify mass fluxes of fishery drugs and to highlight gross yield as the most influential factor, which provides guidance for the supervision and regulation of sustainable aquaculture.

Microbiota composition and correlations with environmental factors in grass carp (Ctenopharyngodon idella) culture ponds in South China

To maintain the health of aquaculture fish, it is critical to understand the composition of microorganisms in aquaculture water and sediment and the factors affecting them. This study examined the water and sediment microbiota compositions of four different types of ponds in South China that were used to culture grass carp (Ctenopharyngodon idella) of different sizes through high-throughput sequencing of the 16S rRNA gene, and analyzed their correlations with environmental factors. The results showed that ponds with cultured grass carp of different sizes exhibited significant differences in terms of water physicochemical properties and composition of water and sediment microbiota. Furthermore, the exchange of microorganisms between water and sediment microbiota was lowest in ponds with the smallest grass carp and highest in ponds with the largest grass carp. All detected environmental factors except water temperature were significantly correlated with the water microbiota, and all detected environmental factors in the sediment were correlated with sediment microbiota. Moreover, Aeromonas hydrophila and Vibrio were significantly increased in the water microbiota, especially in ponds with small juvenile grass carp, implying an increased risk of A. hydrophila and Vibrio infections in these environments. Our results provide useful information for the management of grass carp aquaculture ponds.

Microbiome response in an urban river system is dominated by seasonality over wastewater treatment upgrades

BACKGROUND

Microorganisms such as coliform-forming bacteria are commonly used to assess freshwater quality for drinking and recreational use. However, such organisms do not exist in isolation; they exist within the context of dynamic, interactive microbial communities which vary through space and time. Elucidating spatiotemporal microbial dynamics is imperative for discriminating robust community changes from ephemeral ecological trends, and for improving our overall understanding of the relationship between microbial communities and ecosystem health. We conducted a seven-year (2013-2019) microbial time-series investigation in the Chicago Area Waterways (CAWS): an urban river system which, in 2016, experienced substantial upgrades to disinfection processes at two wastewater reclamation plants (WRPs) that discharge into the CAWS and improved stormwater capture, to improve river water quality and reduce flooding. Using culture-independent and culture-dependent approaches, we compared CAWS microbial ecology before and after the intervention.

RESULTS

Examinations of time-resolved beta distances between WRP-adjacent sites showed that community similarity measures were often consistent with the spatial orientation of site locations to one another and to the WRP outfalls. Fecal coliform results suggested that upgrades reduced coliform-associated bacteria in the effluent and the downstream river community. However, examinations of whole community changes through time suggest that the upgrades did little to affect overall riverine community dynamics, which instead were overwhelmingly driven by yearly patterns consistent with seasonality.

CONCLUSIONS

This study presents a systematic effort to combine 16S rRNA gene amplicon sequencing with traditional culture-based methods to evaluate the influence of treatment innovations and systems upgrades on the microbiome of the Chicago Area Waterway System, representing the longest and most comprehensive characterization of the microbiome of an urban waterway yet attempted. We found that the systems upgrades were successful in improving specific water quality measures immediately downstream of wastewater outflows. Additionally, we found that the implementation of the water quality improvement measures to the river system did not disrupt the overall dynamics of the downstream microbial community, which remained heavily influenced by seasonal trends. Such results emphasize the dynamic nature of microbiomes in open environmental systems such as the CAWS, but also suggest that the seasonal oscillations remain consistent even when perturbed.

Effects of Bellamya purificata Cultivation at Different Stocking Densities on the Dynamics and Assembly of Bacterial Communities in Sediment

To optimize the integrated multi-trophic aquaculture (IMTA) model, improve the efficiency of resource utilization, and reduce environmental pollution, Bellamya purificata, as a potential bioremediation species, was studied to investigate the effect of B. purificata culture on the dynamics and assembly of bacterial communities in sediment. Four experimental groups were established at four different densities: 0, 234.38, 468.75, and 937.5 g/m² (represented as CON, LD, MD, and HD, respectively). Each group was with three replicates. The 16S ribosomal RNA (rRNA) high-throughput sequencing was used to evaluate the composition, function, and assembly of bacterial communities in sediment. B. purificata cultivation significantly altered the composition and function of the bacterial communities in sediment; at high stocking density, it significantly decreased anaerobic and increased aerobic organic matter decomposition, whereas at low stocking density, it decreased the number of bacteria involved in sulfate reduction and inhibited the denitrification process. B. purificata decreased direct competition and promoted collaboration or niche sharing in bacterial communities, especially at the high stocking density. Moreover, B. purificata cultivation resulted in greater changes in the environmental factors. Variations in dissolved oxygen, pH, total nitrogen, nitrate, and nitrite levels were closely related to the altered composition and function of the bacterial communities. Stochastic processes dominated the bacterial community assembly in the sediment and B. purificata cultivation had limited impacts on the bacterial community assembly. The study provided a reference for the dynamics and assembly of bacterial communities in sediment with different densities of B. purificata cultivation and we hope that the findings will provide a theoretical reference for the optimization of IMTA and improve management strategies for B. purificata polyculture.

Viable bacterial counts of the Pangasius catfish (Pangasianodon hypophthalmus), their responses to seasonal variations of physicochemical parameters, and bacterial counts of the cultured ponds

Objectives

The study was undertaken to evaluate the influences of some physicochemical parameters and viable bacterial counts in cultured ponds (water and sediment) on the viable counts of the Pangasius catfish (Pangasianodon hypophthalmus) (gill and intestine) on a seasonal scale.

Materials and Methods

Physicochemical parameters, viz., ambient temperature, water temperature, water transparency, pH of the pond waters, and viable bacterial counts of pond water, sediment, fish gills, and intestines, were monitored during four different seasons. The responses of viable counts of bacteria to the seasonal changes of physicochemical parameters were also assessed using redundancy analysis (RDA) and a heatmap coupled with the clustering analysis.

Results

Except for fluctuations in air and water temperatures, the other two physicochemical parameters were almost stable throughout the study periods. The gills and water counts were relatively lower than those of the intestine and sediment. Pearson's correlation analysis established no significant correlations between the physicochemical parameters and viable bacterial counts. However, significant positive correlations were detected between the viable counts of water and sediment and between the gill and intestine. The RDA plot showed that, except in spring, the viable counts of a particular sample type were similar among the four locations. The results of permutation test showed that, individually none of the studied physicochemical parameters was significant; however, the seasons significantly affected the viable counts.

Freshwater microbial metagenomes sampled across different water body characteristics, space and time in Israel

Freshwater bodies are critical components of terrestrial ecosystems. The microbial communities of freshwater ecosystems are intimately linked water quality. These microbes interact with, utilize and recycle inorganic elements and organic matter. Here, we present three metagenomic sequence datasets (total of 182.9 Gbp) from different freshwater environments in Israel. The first dataset is from diverse freshwater bodies intended for different usages - a nature reserve, irrigation and aquaculture facilities, a tertiary wastewater treatment plant and a desert rainfall reservoir. The second represents a two-year time-series, collected during 2013-2014 at roughly monthly intervals, from a water reservoir connected to an aquaculture facility. The third is from several time-points during the winter and spring of 2015 in Lake Kinneret, including a bloom of the cyanobacterium Microcystis sp. These datasets are accompanied by physical, chemical, and biological measurements at each sampling point. We expect that these metagenomes will facilitate a wide range of comparative studies that seek to illuminate new aspects of freshwater microbial ecosystems and inform future water quality management approaches.