The synergy of Fe(III) and NO2- drives the anaerobic oxidation of methane

Soil source, not the degree of urbanization determines soil physicochemical properties and bacterial composition in Ningbo urban green spaces

Urban green spaces provide multiple ecosystem services and have great influences on human health. However, the compositions and properties of urban soil are not well understood yet. In this study, soil samples were collected from 45 parks in Ningbo to investigate the relationships among soil physicochemical properties, heavy metals and bacterial communities. The results showed that soil dissolved organic matter (DOM) was of high molecular weight, high aromaticity, and low degree of humification. The contents of heavy metals were all below the China's national standard safety limit (GB 3660-2018). The bioavailability of heavy metals highly correlated with soil pH, the content of DOC, the fluorescent component, the degree of humification and the source of DOM. The most abundant genera were Gemmatimonadaceae_uncultured, Xanthobacteraceae_uncultured, and Acidothermus in all samples, which were related to nitrogen cycle and bioavailability of heavy metals. Soil pH, bioavailability of Zn, Cd, and Pb (CaCl2 extracted) were the main edaphic factors influencing bacterial community composition. It should be noted that there was no significant impact of urbanization on soil physicochemical properties and bacterial composition, but they were determined by the source of soil in urban green spaces. However, with the passage of time, the effect of urbanization on urban green spaces cannot be ignored. Overall, this study provided new insight for understanding the linkage among soil physicochemical properties, heavy metals, and bacterial communities in urban green spaces.

Systematic tracking of nitrogen sources in complex river catchments: Machine learning approach based on microbial metagenomics

Tracking nitrogen pollution sources is crucial for the effective management of water quality; however, it is a challenging task due to the complex contaminative scenarios in the freshwater systems. The contaminative pattern variations can induce quick responses of aquatic microorganisms, making them sensitive indicators of pollution origins. In this study, the soil and water assessment tool, accompanied by a detailed pollution source database, was used to detect the main nitrogen pollution sources in each sub-basin of the Liuyang River watershed. Thus, each sub-basin was assigned to a known class according to SWAT outputs, including point source pollution-dominated area, crop cultivation pollution-dominated area, and the septic tank pollution-dominated area. Based on these outputs, the random forest (RF) model was developed to predict the main pollution sources from different river ecosystems using a series of input variable groups (e.g., natural macroscopic characteristics, river physicochemical properties, 16S rRNA microbial taxonomic composition, microbial metagenomic data containing taxonomic and functional information, and their combination). The accuracy and the Kappa coefficient were used as the performance metrics for the RF model. Compared with the prediction performance among all the input variable groups, the prediction performance of the RF model was significantly improved using metagenomic indices as inputs. Among the metagenomic data-based models, the combination of the taxonomic information with functional information of all the species achieved the highest accuracy (0.84) and increased median Kappa coefficient (0.70). Feature importance analysis was used to identify key features that could serve as indicators for sudden pollution accidents and contribute to the overall function of the river system. The bacteria Rhabdochromatium marinum, Frankia, Actinomycetia, and Competibacteraceae were the most important species, whose mean decrease Gini indices were 0.0023, 0.0021, 0.0019, and 0.0018, respectively, although their relative abundances ranged only from 0.0004 to 0.1 %. Among the top 30 important variables, functional variables constituted more than half, demonstrating the remarkable variation in the microbial functions among sites with distinct pollution sources and the key role of functionality in predicting pollution sources. Many functional indicators related to the metabolism of Mycobacterium tuberculosis, such as K24693, K25621, K16048, and K14952, emerged as significant important factors in distinguishing nitrogen pollution origins. With the shortage of pollution source data in developing regions, this suggested approach offers an economical, quick, and accurate solution to locate the origins of water nitrogen pollution using the metagenomic data of microbial communities.

Functional keystone taxa promote N and P removal of the constructed wetland to mitigate agricultural nonpoint source pollution

Characterized by irregular spatial and temporal variations of pollutant loading and complex occurrence mechanisms, agricultural nonpoint source pollution (ANPSP) has always been a great challenge in field restoration worldwide. Returning farmlands to wetlands (RFWs) as an ecological restoration mode among various constructed wetlands was selected to manage ANPSP in this study. Triarrhena lutarioriparia, Nelumbo nucifera and Zizania latifolia monocultures were designed and the water pollutants was monitored. N. nucifera and Z. latifolia could reach the highest TN (53.28 %) and TP (53.22 %) removal efficiency, respectively. By 16s high-throughput sequencing of rhizosphere bacteria, 45 functional species were the main contributors for efficient N and P removal, and 38 functional keystone taxa (FKT) were found with significant ecological niche roles and metabolic functions. To our knowledge, this is the first study to explore the microbial driving N and P removal mechanism in response to ANPSP treated by field scale RFWs.

Enhancing rice quality and productivity: Multifunctional biochar for arsenic, cadmium, and bacterial control in paddy soil

The perilousness of arsenic and cadmium (As-Cd) toxicity in water and soil presents a substantial hazard to the ecosystem and human well-being. Additionally, this metal (loids) (MLs) can have a deleterious effect on rice quality and yield, owing to the existence of toxic stress. In response to the pressing concern of reducing the MLs accumulation in rice grain, this study has prepared magnesium-manganese-modified corn-stover biochar (MMCB), magnesium-manganese-modified eggshell char (MMEB), and a combination of both (MMCEB). To test the effectiveness of these amendments, several pot trials were conducted, utilizing 1% and 2% application rates. The research discovered that the MMEB followed by MMCEB treatment at a 2% rate yielded the most significant paddy and rice quality, compared to the untreated control (CON) and MMCB. MMEB and MMCEB also extensively decreased the MLs content in the grain than CON, thereby demonstrating the potential to enrich food security and human healthiness. In addition, MMEB and MMCEB augmented the microbial community configuration in the paddy soil, including As-Cd detoxifying bacteria, and decreased bioavailable form of the MLs in the soil compared to the CON. The amendments also augmented Fe/Mn-plaque which captured a considerable quantity of As-Cd in comparison to the CON. In conclusion, the utilization of multifunctional biochar, such as MMEB and MMCEB, is an encouraging approach to diminish MLs aggregation in rice grain and increase rice yield for the reparation of paddy soils via transforming microbiota especially enhancing As-Cd detoxifying taxa, thereby improving agroecology, food security, and human and animal health.

The existence of ferric hydroxide links the carbon and nitrogen cycles by promoting nitrite-coupled methane anaerobic oxidation

Microorganism-mediated anaerobic oxidation of methane can efficiently mitigate methane atmospheric emissions and is a key process linking the biogeochemical cycles of carbon, nitrogen, and iron. The results showed that methane oxidation and nitrite removal rates in the CF were 1.12 and 1.28 times higher than those in CK, respectively, suggesting that ferric hydroxide can enhance nitrite-driven AOM. The biochemical process was mediated by the enrichment of methanogens, methanotrophs, and denitrifiers. Methanobacterium and Methanosarcina were positively correlated with Fe3+ and Fe2+, whereas Methylocystis and Methylocaldum were positively correlated with methane, and denitrifiers were positively correlated with nitrite. Metagenomic analysis revealed that the genes related to methane oxidation, nitrogen reduction, and heme c-type cytochrome were upregulated in CF, indicating that a synergistic action of bacteria and methanogens drove AOM via diverse metabolic pathways, within which ferric hydroxide played a crucial role. This study provides novel insights into the synergistic mechanism of ferric iron and nitrite-driven AOM.

Fe(III) enhances Cr(VI) bioreduction in a MFC-granular sludge coupling system: Experimental evidence and metagenomics analysis

The influence of Fe(III) on the bioreduction efficiency of Cr(VI) in a microbial fuel cell (MFC)-granular sludge coupling system using dissolved methane as an electron donor and carbon source was explored, and the mechanism of Fe(III) mediating enhancement in the bioreduction process of Cr(VI) in the coupling system was also investigated. Results showed that the presence of Fe(III) enhanced the ability of the coupling system to reduce Cr(VI). The average removal efficiencies of Cr(VI) in the anaerobic zone in response to 0, 5, and 20 mg/L of Fe(III) were 16.53±2.12%, 24.17±2.10%, and 46.33±4.41%, respectively. Fe(III) improved the reducing ability and output power of the system. In addition, Fe(III) enhanced the electron transport systems activity of the sludge, the polysaccharide and protein content in the anaerobic sludge. Meanwhile, X-ray photoelectron spectrometer (XPS) spectra demonstrated that Cr(VI) was reduced to Cr(III), while Fe2p participated in reducing Cr(VI) in the form of Fe(III) and Fe(II). Proteobacteria, Chloroflexi, and Bacteroidetes were the dominant phylum in the Fe(III)-enhanced MFC-granular sludge coupling system, accounting for 49.7%-81.83% of the microbial community. The relative abundance of Syntrophobacter and Geobacter increased after adding Fe(III), indicating that Fe(III) contributed to the microbial mediated anaerobic oxidation of methane (AOM) and bioreduction of Cr(VI). The genes mcr, hdr, and mtr were highly expressed in the coupling system after the Fe(III) concentration increased. Meanwhile, the relative abundances of coo and aacs genes were up-regulated by 0.014% and 0.075%, respectively. Overall, these findings deepen understanding of the mechanism of the Cr(VI) bioreduction in the MFC-granular sludge coupling system driven by methane under the influence of Fe(III).