Anthropogenic activities significantly interfered distribution and co-occurrence patterns of antibiotic resistance genes in a small rural watershed in Southwest China.

The prevalence and spread of antibiotic resistance genes (ARGs) have been a significant concern for global public health in recent years. Small rural watersheds are the smallest units of factor mobility for agricultural production in China, and their ARG profiles are the best scale of the contamination status, but the mapping and the distribution and diffusion of ARGs in the water and soil of small rural watersheds are inadequate. In this study, based on microbial metagenomics, we invested prevalence maps of 209 ARGs corresponding to typical commonly used antibiotics (including multidrug, aminoglycoside, macrolide-lincosamide-streptogramin B (MLSB), and ß-Lactamase) in water and soil in different agricultural types, as well as within water-soil interfaces in small rural watersheds in Southwest China. The results revealed that the most abundant ARGs in water and soil were consistent, but different in subtypes, and anthropogenic activities affect the transport of ARGs between water and soils. Livestock wastewater discharges influenced the diversity and abundance of ARGs in water, while in soil it is planting type and fertilizer management, and thus interfered with the co-occurrence patterns between bacteria and ARGs. Co-occurrence analysis revealed that Proteobacteria, Actinobacteria, and Bacteroidetes were the predominant ARG hosts in water and soil, but soil exhibited a more intricate ARG-bacterial association. Overall, this study provides integrated profiles of ARGs in water and soil influenced by anthropogenic activities at the small watershed scale in a typical rural area and provides a baseline for comparisons of ARGs.

SARS-CoV-2 NSP6 reduces autophagosome size and affects viral replication via sigma-1 receptor.

Autophagy is a cellular self-defense mechanism by which cells can kill invading pathogenic microorganisms and increase the presentation of components of pathogens as antigens. Contrarily, pathogens can utilize autophagy to enhance their own replication. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) NSP6 can interact with ATPase proton pump component to inhibit lysosomal acidification, which was implicated in the autophagy process. However, research on how SARS-CoV-2 NSP6 affected autophagy, and its impact on virus replication is still lacking. Coronavirus NSP6 has been reported to promote coronavirus replication by limiting autophagosome expansion. However, this finding has not been confirmed in coronavirus disease 2019 (COVID-19). We investigated the effect of NSP6 protein on autophagosomes in different mutant strains of SARS-CoV-2 and revealed that the size of autophagosomes was reduced by NSP6 of the wild-type and Delta variant of SARS-CoV-2. In addition, we found that SARS-CoV-2 NSP6 localized to the lysosome and had an inhibitory effect on the binding of autophagosomes to the lysosome, which blocked the autophagy flux; this may be related to endoplasmic reticulum (ER)-related pathways. We also found that sigma-1 receptor (SIGMAR1) knock out (KO) reversed NSP6-induced autophagosome abnormality and resisted SARS-CoV-2 infection, which responds to the fact that SIGMAR1 is likely to be used as a potential target for the treatment of SARS-CoV-2 infection. In summary, we have provided a preliminary explanation of the effects on autophagy of the SARS-CoV-2 NSP6 protein from the pre-autophagic and late stages, and also found that SIGMAR1 is likely to be used as a potential target for SARS-CoV-2 therapy to develop relevant drugs. IMPORTANCE: We have provided a preliminary explanation of the effects on autophagy of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) non-structure protein 6 from the pre-autophagic and late stages, and also found that sigma-1 receptor is likely to be used as a potential target for SARS-CoV-2 therapy to develop relevant drugs.

From reduction to rebalancing: Insights into the long-term effects of sediment dredging on nitrogen transformations in river ecosystems.

Although sediment dredging is a widely employed water management and restoration technique for the removal of internal nitrogen (N), the long-term effects of dredging on N transformation in dredged rivers remain largely undetermined. In this study, we investigated the effects of dredging on N transformation processes spanning three years at ten sites in the purple-soil watershed within the middle reaches of the Fu River Basin. We combined isotopic and molecular techniques to provide novel insights into the interactions associated with microbial utilization capacities between sediment and river water before, during, and after dredging. Initially, dredging was found to significantly reduce the total nitrogen content by approximately 75 %, although over time, there was a slight increase in concentrations. Secondly, significant reductions in microbial richness and diversity were detected in both river water and sediment, with 39 classes reduced, 12 new classes emerging, and an increase in archaea, reshaping the microbial community. Lastly, dredging was found to promote a significant shift in functional contributions, with increases in the abundance of key enzyme activities (1.7.5.1 and 1.7.2.5) and denitrification genes (nirK, norB, and nosZ). This enhancement notably promoted denitrification and dissimilatory nitrate reduction to ammonium (DNRA), accompanied by significant environmental changes in sediment and river water. These changes facilitated the removal of nitrates in the Xiangshuitan watershed. Our study overcomes the limitations associated with watershed and microenvironment scales, providing insights into the mechanisms where by dredging activities influence the interplay between external and internal N transformations.

Hybrid nanoflower-based electrochemical lateral flow immunoassay for Escherichia coli O157 detection.

An electrochemical biosensor has been developed for detection of Escherichia coli O157 by integrating lateral flow with screen-printed electrodes. The screen-printed electrodes were attached under the lateral flow detection line, and organic-inorganic nanoflowers prepared from E. coli O157-specific antibodies as an organic component were attached to the lateral flow detection line. In the presence of E. coli O157, an organic-inorganic nanoflower-E. coli O157-antimicrobial peptide-labelled ferrocene sandwich structure is formed on the lateral flow detection line. Differential pulse voltammetry is applied using a smartphone-based device to monitor ferrocene on the detection line. The resulting electrochemical biosensor could specifically detect E. coli O157 with a limit of detection of 25 colony-forming units mL-1. Through substitution of antibodies of organic components in organic-inorganic nanoflowers, biosensors have great potential for the detection of other pathogens in biomedical research and clinical diagnosis.

A sensitive fluorescence biosensor based on ligation-transcription and CRISPR/Cas13a-assisted cascade amplification strategies to detect the H1N1 virus.

We propose a sensitive H1N1 virus fluorescence biosensor based on ligation-transcription and CRISPR/Cas13a-assisted cascade amplification strategies. Products are generated via the hybridization of single-stranded DNA (ssDNA) probes containing T7 promoter and crRNA templates to a target RNA sequence using SplintR ligase. This generates large crRNA quantities in the presence of T7 RNA polymerase. At such crRNA quantities, ternary Cas13a, crRNA, and activator complexes are successfully constructed and activate Cas13a to enhance fluorescence signal outputs. The biosensor sensitively and specifically monitored H1N1 viral RNA levels down to 3.23 pM and showed good linearity when H1N1 RNA concentrations were 100 pM-1 µM. Biosensor specificity was also excellent. Importantly, our biosensor may be used to detect other viral RNAs by altering the sequences of the two probe junctions, with potential applications for the clinical diagnosis of viruses and other biomedical studies.

Fluorescence biosensor to detect microRNAs via integrating DNA hairpins transition mediated strand displacement amplification with primer exchange reaction.

Herein, we constructed a fluorescence biosensor for the ultra-sensitive analysis of microRNAs (miRNAs) by combining DNA hairpins transition triggered strand displacement amplification (DHT-SDA) with primer exchange reaction (PER). Target miRNA initiated DHT-SDA to facilitate the generation of multiple single-stranded DNA (ssDNA) as PER primer, which was extended into a long ssDNA. The biosensor is successfully utilized in detecting miRNAs with high sensitivity (limit of detection for miRNA-21 was 58 fM) and a good linear relationship between 100 nM and 100 fM. By simply changing the DNA hairpin sequence, the constructed biosensor can be extended to analyze another miRNAs. Moreover, the biosensor has the feasibility of detecting miRNAs in real samples with satisfactory accuracy and reliability. Therefore, the fluorescent biosensor has great application potential in clinical diagnosis.

Review of Energy Management Methods for Fuel Cell Vehicles: From the Perspective of Driving Cycle Information.

Energy management methods (EMMs) utilizing sensing, communication, and networking technologies appear to be one of the most promising directions for energy saving and environmental protection of fuel cell vehicles (FCVs). In real-world driving situations, EMMs based on driving cycle information are critical for FCVs and have been extensively studied. The collection and processing of driving cycle information is a fundamental and critical work that cannot be separated from sensors, global positioning system (GPS), vehicle-to-vehicle (V2V), vehicle-to-everything (V2X), intelligent transportation system (ITS) and some processing algorithms. However, no reviews have comprehensively summarized the EMMs for FCVs from the perspective of driving cycle information. Motivated by the literature gap, this paper provides a state-of-the-art understanding of EMMs for FCVs from the perspective of driving cycle information, including a detailed description for driving cycle information analysis, and a comprehensive summary of the latest EMMs for FCVs, with a focus on EMMs based on driving pattern recognition (DPR) and driving characteristic prediction (DCP). Based on the above analysis, an in-depth presentation of the highlights and prospects is provided for the realization of high-performance EMMs for FCVs in real-world driving situations. This paper aims at helping the relevant researchers develop suitable and efficient EMMs for FCVs using driving cycle information.

Orosomucoid proteins limit endoplasmic reticulum stress in plants.

Sphingolipids are cell membrane components and signaling molecules that induce endoplasmic reticulum (ER) stress responses, but the underlying mechanism is unknown. Orosomucoid proteins (ORMs) negatively regulate serine palmitoyltransferase activity, thus helping maintain proper sphingolipid levels in humans, yeast, and plants. In this report, we explored the roles of ORMs in regulating ER stress in Arabidopsis thaliana. Loss of ORM1 and ORM2 function caused constitutive activation of the unfolded protein response (UPR), as did treatment with the ceramide synthase inhibitor Fumonisin B1 (FB1) or ceramides. FB1 treatment induced the transcription factor bZIP28 to relocate from the ER membrane to the nucleus. The transcription factor WRKY75 positively regulates the UPR and physically interacted with bZIP28. We also found that the orm mutants showed impaired ER-associated degradation (ERAD), blocking the degradation of misfolded MILDEW RESISTANCE LOCUS-O 12 (MLO-12). ORM1 and ORM2 bind to EMS-MUTAGENIZED BRI1 SUPPRESSOR 7 (EBS7), a plant-specific component of the Arabidopsis ERAD complex, and regulate its stability. These data strongly suggest that ORMs in the ER membrane play vital roles in the UPR and ERAD pathways to prevent ER stress in Arabidopsis. Our results reveal that ORMs coordinate sphingolipid homeostasis with ER quality control and play a role in stress responses.

PlantMetSuite: A User-Friendly Web-Based Tool for Metabolomics Analysis and Visualisation.

The advancement of mass spectrometry technologies has revolutionised plant metabolomics research by enabling the acquisition of raw metabolomics data. However, the identification, analysis, and visualisation of these data require specialised tools. Existing solutions lack a dedicated plant-specific metabolite database and pose usability challenges. To address these limitations, we developed PlantMetSuite, a web-based tool for comprehensive metabolomics analysis and visualisation. PlantMetSuite encompasses interactive bioinformatics tools and databases specifically tailored to plant metabolomics data, facilitating upstream-to-downstream analysis in metabolomics and supporting integrative multi-omics investigations. PlantMetSuite can be accessed directly through a user's browser without the need for installation or programming skills. The tool is freely available and will undergo regular updates and expansions to incorporate additional libraries and newly published metabolomics analysis methods. The tool's significance lies in empowering researchers with an accessible and customisable platform for unlocking plant metabolomics insights.

Transcriptomics-based investigation of manganese dioxide nanoparticle toxicity in rats' choroid plexus.

Manganese dioxide nanoparticles (MnO2-NPs) have a wide range of applications in biomedicine. Given this widespread usage, it is worth noting that MnO2-NPs are definitely toxic, especially to the brain. However, the damage caused by MnO2-NPs to the choroid plexus (CP) and to the brain after crossing CP epithelial cells has not been elucidated. Therefore, this study aims to investigate these effects and elucidate potential underlying mechanisms through transcriptomics analysis. To achieve this objective, eighteen SD rats were randomly divided into three groups: the control group (control), low-dose exposure group (low-dose) and high-dose exposure group (high-dose). Animals in the two treated groups were administered with two concentrations of MnO2-NPs (200 mg kg-1 BW and 400 mg kg-1 BW) using a noninvasive intratracheal injection method once a week for three months. Finally, the neural behavior of all the animals was tested using a hot plate tester, open-field test and Y-type electric maze. The morphological characteristics of the CP and hippocampus were observed by H&E stain, and the transcriptome of CP tissues was analysed by transcriptome sequencing. The representative differentially expressed genes were quantified by qRT-PCR. We found that treatment with MnO2-NPs could induce learning capacity and memory faculty decline and destroy the structure of hippocampal and CP cells in rats. High doses of MnO2-NPs had a more obvious destructive capacity. For transcriptomic analysis, we found that there were significant differences in the numbers and types of differential genes in CP between the low- and high-dose groups compared to the control. Through GO terms and KEGG analysis, high-dose MnO2-NPs significantly affected the expression of transporters, ion channel proteins, and ribosomal proteins. There were 17 common differentially expressed genes. Most of them were transporter and binding genes on the cell membrane, and some of them had kinase activity. Three genes, Brinp, Synpr and Crmp1, were selected for qRT-PCR to confirm their expression differences among the three groups. In conclusion, high-dose MnO2-NPs exposure induced abnormal neurobehaviour, impaired memory function, destroyed the structure of the CP and changed its transcriptome in rats. The most significant DEGs in the CP were within the transport system.

[Life Cycle Prediction Assessment of Energy Saving and New Energy Vehicles for 2035].

The development of energy saving and new energy vehicles is an important technology path to reduce carbon emissions for the transportation industry. To quantitatively predict the life cycle carbon emissions of energy saving and new energy vehicles, this study used the life cycle assessment method and selected the fuel economy level, lightweight level, carbon emission factor of electricity structure, and carbon emission factor of hydrogen production as key performance parameters to establish inventories of internal combustion engine vehicles (ICEV), mild hybrid electrical vehicles (MHEV), heavy hybrid electrical vehicles (HEV), battery electrical vehicles (BEV), and fuel cell vehicles (FCV) based on automotive-related policy and technical routes. The sensitivity of carbon emission factors of electricity structure and different hydrogen production methods were analyzed and discussed. The results showed that the current life cycle carbon emissions (CO2 equivalent) of ICEV, MHEV, HEV, BEV, and FCV were 207.8, 195.2, 149.9, 113.3, and 204.7 g·km-1, respectively. By 2035, BEV and FCV were predicted to have a significant reduction of 69.1% and 49.3%, respectively, compared with ICEV. The carbon emission factor of electricity structure had the most significant influence on BEV life cycle carbon emissions. In terms of different hydrogen production methods of FCV, hydrogen demand should be mainly supplied by industrial hydrogen by-product purification in the short-term future, whereas hydrogen energy production by water electrolysis and hydrogen production from fossil energy combined with carbon capture, utilization, and storage technology should be used to meet the hydrogen demand of FCV in the long-term future, so as to achieve a significant improvement in the life cycle carbon reduction benefits of FCV.

Application of Virtual and Augmented Reality Technology in Hip Surgery: Systematic Review.

BACKGROUND: Virtual and augmented reality (VAR) represents a combination of current state-of-the-art computer and imaging technologies and has the potential to be a revolutionary technology in many surgical fields. An increasing number of investigators have developed and applied VAR in hip-related surgery with the aim of using this technology to reduce hip surgery-related complications, improve surgical success rates, and reduce surgical risks. These technologies are beginning to be widely used in hip-related preoperative operation simulation and training, intraoperative navigation tools in the operating room, and postoperative rehabilitation. OBJECTIVE: With the aim of reviewing the current status of virtual reality (VR) and augmented reality (AR) in hip-related surgery and summarizing its benefits, we discussed and briefly described the applicability, advantages, limitations, and future perspectives of VR and AR techniques in hip-related surgery, such as preoperative operation simulation and training; explored the possible future applications of AR in the operating room; and discussed the bright prospects of VR and AR technologies in postoperative rehabilitation after hip surgery. METHODS: We searched the PubMed and Web of Science databases using the following key search terms: ("virtual reality" OR "augmented reality") AND ("pelvis" OR "hip"). The literature on basic and clinical research related to the aforementioned key search terms, that is, studies evaluating the key factors, challenges, or problems of using of VAR technology in hip-related surgery, was collected. RESULTS: A total of 40 studies and reports were included and classified into the following categories: total hip arthroplasty, hip resurfacing, femoral neck fracture, pelvic fracture, acetabular fracture, tumor, arthroscopy, and postoperative rehabilitation. Quality assessment could be performed in 30 studies. Among the clinical studies, there were 16 case series with an average score of 89 out of 100 points (89%) and 1 case report that scored 81 (SD 10.11) out of 100 points (81%) according to the Joanna Briggs Institute Critical Appraisal Checklist. Two cadaveric studies scored 85 of 100 points (85%) and 92 of 100 points (92%) according to the Quality Appraisal for Cadaveric Studies scale. CONCLUSIONS: VR and AR technologies hold great promise for hip-related surgeries, especially for preoperative operation simulation and training, feasibility applications in the operating room, and postoperative rehabilitation, and have the potential to assist orthopedic surgeons in operating more accurately and safely. More comparative studies are necessary, including studies focusing on clinical outcomes and cost-effectiveness.

Ultrasensitive detection of microRNAs based on click chemistry-terminal deoxynucleotidyl transferase combined with CRISPR/Cas12a.

The specificity and sensitivity of microRNA (miRNA) detection play a vital role in the early diagnosis of cancer and the treatment of various diseases. Here, we constructed a fluorescent biosensor based on click chemistry-terminal deoxynucleotidyl transferase (ccTdT) combined with the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas)12a cascade amplification system to achieve ultrasensitive miRNA-21 detection. Target miRNA-21 was employed as a template for click chemistry ligation of two nucleic acid probes, the product of which can be combined with magnetic microbeads (MBs). Then the 3'-end of the ligated nucleic acid and complementary strand miRNA-21 was extended by TdT. The extended poly-T tails activated the trans-cleavage ability of CRISPR/Cas12a, cleaving the reporter gene to generate the fluorescent signal. The proposed biosensor has a wide linear detection range, from 1 pM to 105 pM, with detection limits as low as 88 fM under optimal experimental conditions. Hence, this fluorescent biosensor enables simple, sensitive detection of miRNAs and offers a promising analytical platform for clinical diagnostics and biomedical research.

Non-Noble Metal Catalysts in Cathodic Oxygen Reduction Reaction of Proton Exchange Membrane Fuel Cells: Recent Advances.

The oxygen reduction reaction (ORR) is one of the crucial energy conversion reactions in proton exchange membrane fuel cells (PEMFCs). Low price and remarkable catalyst performance are very important for the cathode ORR of PEMFCs. Among the various explored ORR catalysts, non-noble metals (transition metal: Fe, Co, Mn, etc.) and N co-doped C (M-N-C) ORR catalysts have drawn increasing attention due to the abundance of these resources and their low price. In this paper, the recent advances of single-atom catalysts (SACs) and double-atom catalysts (DACs) in the cathode ORR of PEMFCs is reviewed systematically, with emphasis on the synthesis methods and ORR performance of the catalysts. Finally, challenges and prospects are provided for further advancing non-noble metal catalysts in PEMFCs.

CRISPR/Cas13a combined with hybridization chain reaction for visual detection of influenza A (H1N1) virus.

This study provides proof of concept of a colorimetric biosensor for influenza H1N1 virus assay based on the CRISPR/Cas13a system and hybridization chain reaction (HCR). Target RNA of influenza H1N1 virus activated the trans-cleavage activity of Cas13a, which cleaved the special RNA sequence (-UUU-) of the probe, further initiating HCR to copiously generate G-rich DNA. Abundant G-quadruplex/hemin was formed in the presence of hemin, thus catalyzing a colorimetric reaction. The colorimetric biosensor exhibited a linear relationship from 10 pM to 100 nM. The detection limit was 0.152 pM. The biosensor specificity was excellent. This new and sensitive detection method for influenza virus is a promising rapid influenza diagnostic test.

[Life Cycle Assessment and Key Parameter Comparison of Hydrogen Fuel Cell Vehicles Power Systems].

Hydrogen fuel cell vehicles (HFCVs) are regarded as potential solutions to the problems of energy security and environmental pollution. To explore the energy consumption and pollutant emissions of fuel cell vehicle power systems, data inventories of an HFCV power system were established, and quantitative evaluation calculations and prediction analysis were carried out for fuel life cycle energy consumption and greenhouse gas emissions of Chinese fuel cell vehicles in 2030 based on the technology roadmap for new energy vehicles by modeling with GaBi software. The effects of different types of bipolar plates, different energy control strategies, and different hydrogen production methods on the environment were studied, with uncertainty analysis as the key parameter. The results showed that fossil energy consumption (ADPf), global warming potential (GWP, CO2 equivalent), and acidification potential (AP, SO2 equivalent) for the HFCV power system in the fuel life cycle were 1.35×105 MJ, 9108 kg, and 15.79 kg, respectively. The energy consumption and greenhouse gas emissions in the production of the power system were higher than those in the use stage, mainly because of the fuel cell stack and hydrogen storage tank. In the manufacturing process of metal bipolar plates, graphite composite bipolar plates, and graphite bipolar plates, graphite composite bipolar plates had the most comprehensive environmental benefits. Optimizing the energy control strategy will reduce hydrogen energy consumption. When the hydrogen energy consumption was reduced by 22.8%, the life cycle energy consumption and greenhouse gas emissions of the power system were reduced by 10.4% and 8.3%, respectively. For life cycle power systems, the use of hydrogen from electrolysis operated with water power reduced the GWP by approximately 39.6% relative to steam methane reforming. In contrast, the application of hydrogen from electrolysis operated with the Chinese electricity grid mix resulted in an increase in GWP of almost 53.7%. Measures to reduce fossil energy consumption and global warming potential in the life cycle of fuel cell vehicle powertrains include optimizing energy control strategies to reduce hydrogen energy consumption, scaling up the hydrogen production industry using water electrolysis for renewable energy power generation, and focusing on key technologies of fuel cell stacks to improve performance.

Arabidopsis alkaline ceramidase ACER functions in defense against insect herbivory.

Plant sphingolipids are important membrane components and bioactive molecules in development and defense responses. However, the function of sphingolipids in plant defense, especially against herbivores, is not fully understood. Here, we report that Spodoptera exigua feeding affects sphingolipid metabolism in Arabidopsis, resulting in increased levels of sphingoid long-chain bases, ceramides, and hydroxyceramides. Insect-induced ceramide and hydroxyceramide accumulation is dependent on the jasmonate signaling pathway. Loss of the Arabidopsis alkaline ceramidase ACER increases ceramides and decreases long-chain base levels in plants; in this work, we found that loss of ACER enhances plant resistance to S. exigua and improves response to mechanical wounding. Moreover, acer-1 mutants exhibited more severe root-growth inhibition and higher anthocyanin accumulation than wild-type plants in response to methyl jasmonate treatment, indicating that loss of ACER increases sensitivity to jasmonate and that ACER functions in jasmonate-mediated root growth and secondary metabolism. Transcript levels of ACER were also negatively regulated by jasmonates, and this process involves the transcription factor MYC2. Thus, our findings reveal that ACER is involved in mediating jasmonate-related plant growth and defense and that jasmonates function in regulating the expression of ACER.

Erratum: MiR-216a-5p inhibits tumorigenesis in Pancreatic Cancer by targeting TPT1/mTORC1 and is mediated by LINC01133: Erratum.

[This corrects the article DOI: 10.7150/ijbs.46822.].

Effects of biochar and arbuscular mycorrhizal fungi on winter wheat growth and soil N2O emissions in different phosphorus environments.

Introduction: Promoting crop growth and regulating denitrification process are two main ways to reduce soil N2O emissions in agricultural systems. However, how biochar and arbuscular mycorrhizal fungi (AMF) can regulate crop growth and denitrification in soils with different phosphorus (P) supplies to influence N2O emission remains largely unknown. Method: Here, an eight-week greenhouse and one-year field experiments biochar and/or AMF (only in greenhouse experiment) additions under low and high P environments were conducted to characterize the effects on wheat (Triticum aestivum L.) growth and N2O emission. Results: With low P supply, AMF addition decreased leaf Mn concentration (indicates carboxylate-releasing P-acquisition strategies), whereas biochar addition increased leaf Mn concentration, suggesting biochar and AMF addition regulated root morphological and physiological traits to capture P. Compared with low P supply, the high P significantly promoted wheat growth (by 16-34%), nutrient content (by 33-218%) and yield (by 33-41%), but suppressed soil N2O emissions (by 32-95%). Biochar and/or AMF addition exhibited either no or negative effects on wheat biomass and nutrient content in greenhouse, and biochar addition promoted wheat yield only under high P environment in field. However, biochar and/or AMF addition decreased soil N2O emissions by 24-93% and 32% in greenhouse and field experiments, respectively. This decrease was associated mainly with the diminished abundance of N2O-producing denitrifiers (nirK and nirS types, by 17-59%, respectively) and the increased abundance of N2O-consuming denitrifiers (nosZ type, by 35-65%), and also with the increased wheat nutrient content, yield and leaf Mn concentration. Discussion: These findings suggest that strengthening the plant-soil-microbe interactions can mitigate soil N2O emissions via manipulating plant nutrient acquisition and soil denitrification.